{
  "session_id": "20260518_085516_c29b9d",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-18T11:17:45.870387",
  "last_updated": "2026-05-18T11:30:40.279719",
  "system_prompt": "# Hermes Agent Persona\n\n<!--\nThis file defines the agent's personality and tone.\nThe agent will embody whatever you write here.\nEdit this to customize how Hermes communicates with you.\n\nExamples:\n  - \"You are a warm, playful assistant who uses kaomoji occasionally.\"\n  - \"You are a concise technical expert. No fluff, just facts.\"\n  - \"You speak like a friendly coworker who happens to know everything.\"\n\nThis file is loaded fresh each message -- no restart needed.\nDelete the contents (or this file) to use the default personality.\n-->\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n<tool_persistence>\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n</tool_persistence>\n\n<mandatory_tool_use>\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n</mandatory_tool_use>\n\n<act_dont_ask>\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n</act_dont_ask>\n\n<prerequisite_checks>\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n</prerequisite_checks>\n\n<verification>\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n</verification>\n\n<missing_context>\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n</missing_context>\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n<available_skills>\n  autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n    - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n    - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n    - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n    - opencode: Delegate coding to OpenCode CLI (features, PR review).\n  creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n    - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n    - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n    - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n    - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n    - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n    - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n    - comfyui: Generate images, video, and audio with ComfyUI — install,...\n    - design-md: Author/validate/export Google's DESIGN.md token spec files.\n    - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n    - humanizer: Humanize text: strip AI-isms and add real voice.\n    - ideation: Generate project ideas via creative constraints.\n    - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n    - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n    - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n    - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n    - pretext: Use when building creative browser demos with @chenglou/p...\n    - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n    - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n    - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n  cronjob:\n    - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n  data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n    - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n  devops:\n    - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n    - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n    - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n    - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n  dogfood:\n    - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n  edge-tts:\n    - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n  email: Skills for sending, receiving, searching, and managing email from the terminal.\n    - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n  finance:\n    - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n  gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n    - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n    - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n  github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n    - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n    - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n    - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n    - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n    - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n    - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n  health:\n    - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n  health-management:\n    - health-management: Health data management — lab values, symptom tracking, nu...\n  jarvis-routing-policy:\n    - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n  mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n    - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n  media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n    - gif-search: Search/download GIFs from Tenor via curl + jq.\n    - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n    - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n    - spotify: Spotify: play, search, queue, manage playlists and devices.\n    - youtube-content: YouTube transcripts to summaries, threads, blogs.\n  mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n    - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n  mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n    - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n    - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n  mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n    - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n    - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n    - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n    - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n  mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n    - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n    - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n  mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n    - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n  mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n    - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n    - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n    - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n  note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n    - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n    - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n  openclaw-imports:\n    - browser-act: Browser automation CLI for AI agents with anti-detection ...\n    - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n    - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n    - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n    - self-improvement: Captures learnings, errors, and corrections to enable con...\n    - sherpa-onnx-tts\n    - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n    - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n    - tavily: Tavily web search, content extraction, and research tools.\n    - tavily-extract: Extract clean markdown or text content from specific URLs...\n    - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n    - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n    - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n  productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n    - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n    - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n    - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n    - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n    - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n    - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n    - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n    - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n    - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n  red-teaming:\n    - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n  research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n    - arxiv: Search arXiv papers by keyword, author, category, or ID.\n    - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n    - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n    - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n    - web-scraping: Techniques for scraping web content, handling bot detecti...\n  smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n    - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n  social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n    - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n  software-development:\n    - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n    - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n    - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n    - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n    - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n    - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n    - spike: Throwaway experiments to validate an idea before build.\n    - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n    - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n    - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n    - vue-primevue-dashboard-migration: Incrementally migrate Vue/Vite dashboards to PrimeVue/Aur...\n    - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n  yazio-integration:\n    - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n  yuanbao:\n    - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-23-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [99% — 2,191/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nTTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\n§\nModelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\n§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com <command>`\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\n§\nFinanceManager GitHub token CSV: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; use `github_pat_`/`ghp_` cell; never quote token.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\n**Notes:** Mein Herr. Loyaler Partner.\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\n**Beziehung:** Loyaler Partner\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n§\nFinance: safety gates; no bulk confirms without approval; no real amounts/IDs in chat; no runtime DB/files/API keys in Git/frontend; backups+audit; Preview→Confirm→Audit; readable Light User Mode/contrast first; no fake buttons; OpenFIGI key never store/show.\n\nConversation started: Monday, May 18, 2026 08:55 AM\nModel: gpt-5.5\nProvider: openai-codex",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "browser_back",
        "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_click",
        "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
            }
          },
          "required": [
            "ref"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_console",
        "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
        "parameters": {
          "type": "object",
          "properties": {
            "clear": {
              "type": "boolean",
              "default": false,
              "description": "If true, clear the message buffers after reading"
            },
            "expression": {
              "type": "string",
              "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_get_images",
        "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_navigate",
        "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
        "parameters": {
          "type": "object",
          "properties": {
            "url": {
              "type": "string",
              "description": "The URL to navigate to (e.g., 'https://example.com')"
            }
          },
          "required": [
            "url"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_press",
        "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "key": {
              "type": "string",
              "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
            }
          },
          "required": [
            "key"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_scroll",
        "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "direction": {
              "type": "string",
              "enum": [
                "up",
                "down"
              ],
              "description": "Direction to scroll"
            }
          },
          "required": [
            "direction"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_snapshot",
        "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
        "parameters": {
          "type": "object",
          "properties": {
            "full": {
              "type": "boolean",
              "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
              "default": false
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_type",
        "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e3')"
            },
            "text": {
              "type": "string",
              "description": "The text to type into the field"
            }
          },
          "required": [
            "ref",
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_vision",
        "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA:<screenshot_path> in your response. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "What you want to know about the page visually. Be specific about what you're looking for."
            },
            "annotate": {
              "type": "boolean",
              "default": false,
              "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "clarify",
        "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "The question to present to the user."
            },
            "choices": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 4,
              "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "cronjob",
        "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "description": "One of: create, list, update, pause, resume, remove, run"
            },
            "job_id": {
              "type": "string",
              "description": "Required for update/pause/resume/remove/run"
            },
            "prompt": {
              "type": "string",
              "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
            },
            "schedule": {
              "type": "string",
              "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
            },
            "name": {
              "type": "string",
              "description": "Optional human-friendly name"
            },
            "repeat": {
              "type": "integer",
              "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
            },
            "deliver": {
              "type": "string",
              "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
            },
            "skills": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
            },
            "model": {
              "type": "object",
              "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
              "properties": {
                "provider": {
                  "type": "string",
                  "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:<name>' for a provider defined in custom_providers config — always include the ':<name>' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
                },
                "model": {
                  "type": "string",
                  "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
                }
              },
              "required": [
                "model"
              ]
            },
            "script": {
              "type": "string",
              "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
            },
            "no_agent": {
              "type": "boolean",
              "default": false,
              "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
            },
            "context_from": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
            },
            "enabled_toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
            },
            "workdir": {
              "type": "string",
              "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "delegate_task",
        "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
        "parameters": {
          "type": "object",
          "properties": {
            "goal": {
              "type": "string",
              "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
            },
            "context": {
              "type": "string",
              "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
            },
            "toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
            },
            "tasks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "goal": {
                    "type": "string",
                    "description": "Task goal"
                  },
                  "context": {
                    "type": "string",
                    "description": "Task-specific context"
                  },
                  "toolsets": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
                  },
                  "acp_command": {
                    "type": "string",
                    "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."
                  },
                  "acp_args": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Per-task ACP args override. Leave empty unless acp_command is set."
                  },
                  "role": {
                    "type": "string",
                    "enum": [
                      "leaf",
                      "orchestrator"
                    ],
                    "description": "Per-task role override. See top-level 'role' for semantics."
                  }
                },
                "required": [
                  "goal"
                ]
              },
              "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
            },
            "role": {
              "type": "string",
              "enum": [
                "leaf",
                "orchestrator"
              ],
              "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
            },
            "acp_command": {
              "type": "string",
              "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
            },
            "acp_args": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "execute_code",
        "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n  read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n    Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n  write_file(path: str, content: str) -> dict\n    Always overwrites the entire file.\n  search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n    target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n  patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n    Replaces old_string with new_string in the file.\n  terminal(command: str, timeout=None, workdir=None) -> dict\n    Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n  json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n  shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n  retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
        "parameters": {
          "type": "object",
          "properties": {
            "code": {
              "type": "string",
              "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
            }
          },
          "required": [
            "code"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_doc_read",
        "description": "Read the full content of a Feishu/Lark document as plain text. Useful when you need more context beyond the quoted text in a comment.",
        "parameters": {
          "type": "object",
          "properties": {
            "doc_token": {
              "type": "string",
              "description": "The document token (from the document URL or comment context)."
            }
          },
          "required": [
            "doc_token"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_add_comment",
        "description": "Add a new whole-document comment on a Feishu document. Use this for whole-document comments or as a fallback when reply_comment fails with code 1069302.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "content": {
              "type": "string",
              "description": "The comment text content (plain text only, no markdown)."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            }
          },
          "required": [
            "file_token",
            "content"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_list_comment_replies",
        "description": "List all replies in a comment thread on a Feishu document.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "comment_id": {
              "type": "string",
              "description": "The comment ID to list replies for."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            },
            "page_size": {
              "type": "integer",
              "description": "Number of replies per page (max 100).",
              "default": 100
            },
            "page_token": {
              "type": "string",
              "description": "Pagination token for next page."
            }
          },
          "required": [
            "file_token",
            "comment_id"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_list_comments",
        "description": "List comments on a Feishu document. Use is_whole=true to list whole-document comments only.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            },
            "is_whole": {
              "type": "boolean",
              "description": "If true, only return whole-document comments.",
              "default": false
            },
            "page_size": {
              "type": "integer",
              "description": "Number of comments per page (max 100).",
              "default": 100
            },
            "page_token": {
              "type": "string",
              "description": "Pagination token for next page."
            }
          },
          "required": [
            "file_token"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "feishu_drive_reply_comment",
        "description": "Reply to a local comment thread on a Feishu document. Use this for local (quoted-text) comments. For whole-document comments, use feishu_drive_add_comment instead.",
        "parameters": {
          "type": "object",
          "properties": {
            "file_token": {
              "type": "string",
              "description": "The document file token."
            },
            "comment_id": {
              "type": "string",
              "description": "The comment ID to reply to."
            },
            "content": {
              "type": "string",
              "description": "The reply text content (plain text only, no markdown)."
            },
            "file_type": {
              "type": "string",
              "description": "File type (default: docx).",
              "default": "docx"
            }
          },
          "required": [
            "file_token",
            "comment_id",
            "content"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "image_generate",
        "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![description](url-or-path) and the gateway will deliver it.",
        "parameters": {
          "type": "object",
          "properties": {
            "prompt": {
              "type": "string",
              "description": "The text prompt describing the desired image. Be detailed and descriptive."
            },
            "aspect_ratio": {
              "type": "string",
              "enum": [
                "landscape",
                "square",
                "portrait"
              ],
              "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.",
              "default": "landscape"
            }
          },
          "required": [
            "prompt"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "memory",
        "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "add",
                "replace",
                "remove"
              ],
              "description": "The action to perform."
            },
            "target": {
              "type": "string",
              "enum": [
                "memory",
                "user"
              ],
              "description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
            },
            "content": {
              "type": "string",
              "description": "The entry content. Required for 'add' and 'replace'."
            },
            "old_text": {
              "type": "string",
              "description": "Short unique substring identifying the entry to replace or remove."
            }
          },
          "required": [
            "action",
            "target"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "mixture_of_agents",
        "description": "Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced algorithms, multi-step analytical reasoning, problems benefiting from diverse perspectives.",
        "parameters": {
          "type": "object",
          "properties": {
            "user_prompt": {
              "type": "string",
              "description": "The complex query or problem to solve using multiple AI models. Should be a challenging problem that benefits from diverse perspectives and collaborative reasoning."
            }
          },
          "required": [
            "user_prompt"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "patch",
        "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
        "parameters": {
          "type": "object",
          "properties": {
            "mode": {
              "type": "string",
              "enum": [
                "replace",
                "patch"
              ],
              "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
              "default": "replace"
            },
            "path": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. File path to edit."
            },
            "old_string": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "Replace all occurrences instead of requiring a unique match (default: false)",
              "default": false
            },
            "patch": {
              "type": "string",
              "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
            }
          },
          "required": [
            "mode"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "list",
                "poll",
                "log",
                "wait",
                "kill",
                "write",
                "submit",
                "close"
              ],
              "description": "Action to perform on background processes"
            },
            "session_id": {
              "type": "string",
              "description": "Process session ID (from terminal background output). Required for all actions except 'list'."
            },
            "data": {
              "type": "string",
              "description": "Text to send to process stdin (for 'write' and 'submit' actions)"
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
              "minimum": 1
            },
            "offset": {
              "type": "integer",
              "description": "Line offset for 'log' action (default: last 200 lines)"
            },
            "limit": {
              "type": "integer",
              "description": "Max lines to return for 'log' action",
              "minimum": 1
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "read_file",
        "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to read (absolute, relative, or ~/path)"
            },
            "offset": {
              "type": "integer",
              "description": "Line number to start reading from (1-indexed, default: 1)",
              "default": 1,
              "minimum": 1
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of lines to read (default: 500, max: 2000)",
              "default": 500,
              "maximum": 2000
            }
          },
          "required": [
            "path"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "search_files",
        "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
        "parameters": {
          "type": "object",
          "properties": {
            "pattern": {
              "type": "string",
              "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
            },
            "target": {
              "type": "string",
              "enum": [
                "content",
                "files"
              ],
              "description": "'content' searches inside file contents, 'files' searches for files by name",
              "default": "content"
            },
            "path": {
              "type": "string",
              "description": "Directory or file to search in (default: current working directory)",
              "default": "."
            },
            "file_glob": {
              "type": "string",
              "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of results to return (default: 50)",
              "default": 50
            },
            "offset": {
              "type": "integer",
              "description": "Skip first N results for pagination (default: 0)",
              "default": 0
            },
            "output_mode": {
              "type": "string",
              "enum": [
                "content",
                "files_only",
                "count"
              ],
              "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
              "default": "content"
            },
            "context": {
              "type": "integer",
              "description": "Number of context lines before and after each match (grep mode only)",
              "default": 0
            }
          },
          "required": [
            "pattern"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "send_message",
        "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "send",
                "list"
              ],
              "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
            },
            "target": {
              "type": "string",
              "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:<account_id>' (DM), 'yuanbao:group:<group_code>' (group chat)"
            },
            "message": {
              "type": "string",
              "description": "The message text to send. To send an image or file, include MEDIA:<local_path> (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "session_search",
        "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
            },
            "role_filter": {
              "type": "string",
              "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
            },
            "limit": {
              "type": "integer",
              "description": "Max sessions to summarize (default: 3, max: 5).",
              "default": 3
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_manage",
        "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=<umbrella>` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin <name>`. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "create",
                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
              ],
              "description": "The action to perform."
            },
            "name": {
              "type": "string",
              "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
            },
            "content": {
              "type": "string",
              "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
            "category": {
              "type": "string",
              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
            "file_path": {
              "type": "string",
              "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
            },
            "file_content": {
              "type": "string",
              "description": "Content for the file. Required for 'write_file'."
            },
            "absorbed_into": {
              "type": "string",
              "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
            }
          },
          "required": [
            "action",
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_view",
        "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
            },
            "file_path": {
              "type": "string",
              "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skills_list",
        "description": "List available skills (name + description). Use skill_view(name) to load full content.",
        "parameters": {
          "type": "object",
          "properties": {
            "category": {
              "type": "string",
              "description": "Optional category filter to narrow results"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "terminal",
        "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n  (1) Long-lived processes that never exit (servers, watchers).\n  (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
        "parameters": {
          "type": "object",
          "properties": {
            "command": {
              "type": "string",
              "description": "The command to execute on the VM"
            },
            "background": {
              "type": "boolean",
              "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
              "default": false
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
              "minimum": 1
            },
            "workdir": {
              "type": "string",
              "description": "Working directory for this command (absolute path). Defaults to the session working directory."
            },
            "pty": {
              "type": "boolean",
              "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
              "default": false
            },
            "notify_on_complete": {
              "type": "boolean",
              "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
              "default": false
            },
            "watch_patterns": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
            }
          },
          "required": [
            "command"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "text_to_speech",
        "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.<name>), not model-selected.",
        "parameters": {
          "type": "object",
          "properties": {
            "text": {
              "type": "string",
              "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
            },
            "output_path": {
              "type": "string",
              "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/<timestamp>.mp3"
            }
          },
          "required": [
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "todo",
        "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
        "parameters": {
          "type": "object",
          "properties": {
            "todos": {
              "type": "array",
              "description": "Task items to write. Omit to read current list.",
              "items": {
                "type": "object",
                "properties": {
                  "id": {
                    "type": "string",
                    "description": "Unique item identifier"
                  },
                  "content": {
                    "type": "string",
                    "description": "Task description"
                  },
                  "status": {
                    "type": "string",
                    "enum": [
                      "pending",
                      "in_progress",
                      "completed",
                      "cancelled"
                    ],
                    "description": "Current status"
                  }
                },
                "required": [
                  "id",
                  "content",
                  "status"
                ]
              }
            },
            "merge": {
              "type": "boolean",
              "description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
              "default": false
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "video_analyze",
        "description": "Analyze a video from a URL or local file path using a multimodal AI model. Sends the video to a video-capable model (e.g. Gemini) for understanding. Use this for video files — for images, use vision_analyze instead. Supports mp4, webm, mov, avi, mkv, mpeg formats. Note: large videos (>20 MB) may be slow; max ~50 MB.",
        "parameters": {
          "type": "object",
          "properties": {
            "video_url": {
              "type": "string",
              "description": "Video URL (http/https) or local file path to analyze."
            },
            "question": {
              "type": "string",
              "description": "Your specific question about the video. The AI will describe what happens in the video and answer your question."
            }
          },
          "required": [
            "video_url",
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "vision_analyze",
        "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.",
        "parameters": {
          "type": "object",
          "properties": {
            "image_url": {
              "type": "string",
              "description": "Image URL (http/https), local file path, or data: URL to load."
            },
            "question": {
              "type": "string",
              "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."
            }
          },
          "required": [
            "image_url",
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "write_file",
        "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
            },
            "content": {
              "type": "string",
              "description": "Complete content to write to the file"
            }
          },
          "required": [
            "path",
            "content"
          ]
        }
      }
    }
  ],
  "message_count": 135,
  "messages": [
    {
      "role": "user",
      "content": "[M G] ich habe den API key für Openfigi. wo soll ich dir diesen ablegen? gib mir die befehle fürs Terminal.\n\n[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 223 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\n[Your active task list was preserved across context compression]\n- [>] p110-0. Arbeitsbasis prüfen; relevante Budget-Services/UI inventarisieren; Runtime nur read-only bis Backup (in_progress)\n- [ ] p110-1. RED-Tests für 2026-Filter, 2025-Archivierung/Confirm-Block, Bulk, Kategorien, effektive Ausgaben, Budgetstatus-Monatsmatrix/Charts schreiben (pending)\n- [ ] p110-2. Backend: aktives Jahr 2026 Defaults, 2025-reference/archival, Confirm-Guard, Transaktionsfilter, Budgetstatus-Monatsmatrix/Charts DTOs (pending)\n- [ ] p110-3. Backend: Kategorie-Cleanup-Services für kanonische Einnahmen/Ausgaben, Duplikat-/UAT-Archivierung mit Audit (pending)\n- [ ] p110-4. Frontend: Jahrfilter Default 2026, Review Bulk UX Fehlerdetails/Zähler, Kategorie-Dropdowns gruppiert/suchbar (pending)\n- [ ] p110-5. Frontend: Effektive Ausgaben 2026-only, Budgetstatus Monatsmatrix/Drawer/Charts, Income 2026-only (pending)\n- [ ] p110-6. Runtime: Backup erstellen, 2025/UAT/Testdaten sichtbarkeitsbereinigen mit Audit, keine echten Bulk-Confirms (pending)\n- [ ] p110-7. Verifikation: compile, pytest, npm test/build, secret scans, Git-Safety, diff-check (pending)\n- [ ] p110-8. Commit, Push, Remote-Hash, Abschlussbericht (pending)"
    },
    {
      "role": "assistant",
      "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nNone.\n\n## Goal\nDas Finanz-/Budget-Dashboard soll über Tailscale auf iPhone/iPad gut nutzbar sein: schnelle mobile Quick-View für Command Center, Budgetstatus 2026, Einkünfte, effektive Ausgaben, Crypto, Aktien/ETF/Cash, Wallets und minimale Reports — ohne neue Fachfeatures, Provider, Import-Engines oder Schreibaktionen ohne Preview/Confirm/Audit.\n\n## Constraints & Preferences\n- Sprache/Kommunikation: Deutsch, direkte Abschlussberichte mit Ja/Nein-Status und Links.\n- Keine VISA-/Migros-/Rule-/OCR-/Import-Engine starten oder implementieren.\n- Keine neuen Provider, keine Provider-Abfragen beim normalen Rendern.\n- Keine echten Daten, API-Keys, Secrets, Credentials, Runtime-DBs oder Connection Strings ins Git/Frontend.\n- Schreibaktionen nur mit Preview/Confirm/Audit.\n- Fokus Mobile UX: responsive Layout, mobile Navigation, kompakte Views, Touch-Bedienbarkeit.\n- Desktop-Verhalten darf nicht kaputtgehen; Desktop-Sidebar bleibt.\n- Mobile User Mode soll keine Admin-/Debug-/technischen IDs zeigen.\n- Große Tabellen mobil entschärfen: Desktop Tabelle, Mobile Card List; horizontales Scrollen nur in Detailbereichen, wenn unvermeidbar.\n- Breakpoints: mobile `<640px`, tablet `640–1024px`, desktop `>1024px`.\n- Beträge immer mit 2 Dezimalstellen, keine langen Decimal-Werte.\n- Roadmap-Hinweise sind erlaubt, aber keine Fake-Buttons.\n- Vor Abschluss erwünscht: Python compile, pytest, npm test, npm run build, Secret Scans, Git-Safety, `git diff --check`, Commit, Push, Restart, lokale/Tailscale-Links melden.\n\n## Completed Actions\n1. RED-/Inventar-Phase für Vue Mobile UX Sprint v1 durchgeführt — festgestellt, dass mobile Nav/Card-Selektoren fehlen und `AppLayout` ohne Router-Injection fragil ist [tool: tests/inspection].\n2. Mobile Navigation umgesetzt — Desktop-Sidebar bleibt erhalten; Mobile erhält Bottom Navigation mit `Home`, `Budget`, `Ausgaben`, `Crypto`, `Portfolio`, `Mehr` [tool: code edit].\n3. Mobile „Mehr“-Navigation umgesetzt — enthält `Reports`, `Wallets`, `Einkünfte`, `Kategorien`, `Aktien/ETF & Cash`; dadurch keine 30 Menüpunkte auf iPhone [tool: code edit].\n4. Mobile Shell/Layout angepasst — Bottom-Nav-Space und mobiles Padding ergänzt; Desktop-Layout bleibt erhalten [tool: code edit].\n5. Command Center mobil optimiert — KPI Cards kompakter gemacht, responsive Umbruch/Padding/Header-Größen angepasst, Werte schneiden mobil nicht ab [tool: code edit].\n6. Budgetstatus Mobile Cards umgesetzt — Kategorie-Cards statt breiter Tabelle mit Kategorie, Budget Monat, Ist Monat, Prognose, Abweichung und Ampel/Status [tool: code edit].\n7. Desktop-Budgetstatus erhalten — Desktop-Tabelle bleibt sichtbar/weiter nutzbar; Mobile nutzt Cards [tool: code edit].\n8. Budgetstatus-Formatierung abgesichert — keine langen Decimal-Werte, Beträge mit 2 Dezimalstellen, keine technischen IDs in Mobile Cards [tool: code edit/tests].\n9. Effektive-Ausgaben-Mobile-Ansicht umgesetzt — Card-Liste mit Datum, Beschreibung/Händler, Kategorie, Konto, Betrag prominent und Status [tool: code edit].\n10. Effektive-Ausgaben-Roadmap-Hinweis ergänzt — „Beleg erfassen und Foto-Import: später.“ als Coming-soon-Hinweis, nicht als Fake-Button [tool: code edit].\n11. Einkünfte mobil nutzbar gemacht — Mobile Card-Ansicht für Einkünfte-Pläne mit Name, Quelle/Person, Art, Monatswert, Jahreswert, Status und Archivieren-Aktion wenn aktiv [tool: code edit].\n12. Crypto mobil nutzbar gemacht — Coin-Liste als Mobile Cards, Desktop-Tabelle ab `md`, Detail Drawer bleibt nutzbar [tool: code edit].\n13. Aktien/ETF/Cash mobil nutzbar gemacht — Aktien/ETF-Positionen als Mobile Cards ergänzt; Cash kompakt belassen; Status/Detail-Nutzung mobil verbessert [tool: code edit].\n14. Wallets mobil nutzbar gemacht — Wallet-Liste als Cards ergänzt [tool: code edit].\n15. Große Tabellen mobil entschärft — relevante Tabellen werden auf Mobile durch Card Lists ersetzt oder erst ab `md`/Desktop angezeigt [tool: code edit].\n16. `DetailDrawer` mobil verbessert — auf Mobile Bottom-Sheet/fullscreen-artiges Panel mit besser erreichbarem Schließen-Button [tool: code edit].\n17. Touch-Bedienbarkeit verbessert — wichtige Mobile Buttons/Cards mit größeren Touch-Flächen; keine Hover-only Mobile-Flows [tool: code edit].\n18. Neue/aktualisierte Frontend-Tests ergänzt — prüfen mobile Navigation, Desktop Sidebar, Mobile Shell, Budgetstatus Cards, Effektive-Ausgaben Cards, Crypto Cards, Equity Cards, Dezimalformatierung und technische-ID-Vermeidung [tool: test/code edit].\n19. Frontend Vitest ausgeführt — Ergebnis: `31 passed` [tool: terminal].\n20. Frontend Build ausgeführt — Ergebnis: OK [tool: terminal].\n21. Python compile ausgeführt — Ergebnis: OK [tool: terminal].\n22. Backend pytest ausgeführt — Ergebnis: `393 passed` [tool: terminal].\n23. `git diff --check` ausgeführt — Ergebnis: OK [tool: terminal].\n24. Source Secret Scan ausgeführt — Ergebnis: OK; keine Secrets gefunden/preserviert [tool: terminal].\n25. Frontend Build Secret Scan ausgeführt — Ergebnis: OK [tool: terminal].\n26. Git-Safety geprüft — Ergebnis: OK [tool: terminal].\n27. Browser-/Route-Sanity durchgeführt — Routen `/`, `/planning/budget/status`, `/planning/budget/income`, `/planning/budget/expenses/actual`, `/crypto`, `/equity`, `/wallets` jeweils `200` [tool: browser/terminal].\n28. Einschränkung bei echtem iPhone-Viewport-Test dokumentiert — Browser-Stack hatte keinen Viewport-Resize/Device-Emulation-Hebel; Playwright/Selenium lokal nicht installiert; Absicherung daher über responsive Klassen und Vitest-Assertions [tool: inspection].\n29. Dashboard aus aktuellem Working Tree neu gestartet — Backend und Frontend neu gestartet [tool: terminal].\n30. Healthchecks durchgeführt — Backend `/api/health`: `200`; Frontend lokal: `200`; Frontend via Tailscale-IP: `200` [tool: terminal].\n31. Commit erstellt — Commit Message: `feat: improve mobile dashboard ux`; Commit Hash: `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00` [tool: git].\n32. Push durchgeführt und Remote-Hash verifiziert — Remote Hash entspricht lokalem Commit `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`; Push erfolgreich [tool: git].\n33. Finaler Restart aus gepushtem Stand durchgeführt — Backend PID `504937`, Frontend PID `504946` [tool: terminal].\n34. Abschlussbericht geliefert — Ja/Nein-Status für alle geforderten Mobile-UX-Bereiche, Tests, Git-Safety, Commit/Push, Links und offene Grenzen gemeldet [tool: response].\n\n## Active State\n- Working directory: nicht explizit im neuen Kontext genannt.\n- Branch: `feat/budget-phase-1-4`.\n- Working Tree: sauber.\n- Letzter Commit: `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`.\n- Commit Message: `feat: improve mobile dashboard ux`.\n- Push-Status: erfolgreich; Remote-Hash Match: ja.\n- Backend läuft neu gestartet mit PID `504937`.\n- Frontend läuft neu gestartet mit PID `504946`.\n- Lokales Backend: `http://127.0.0.1:8000`.\n- Lokales Frontend: `http://127.0.0.1:5173`.\n- Tailscale Dashboard: `http://100.85.29.67:5173`.\n- Tailscale Serve/HTTPS: nicht aktiv; Meldung: `No serve config`.\n- Healthchecks:\n  - Backend `/api/health`: `200`.\n  - Frontend lokal: `200`.\n  - Frontend via Tailscale-IP: `200`.\n- Teststatus:\n  - Backend pytest: `393 passed`.\n  - Frontend Vitest: `31 passed`.\n  - Frontend build: OK.\n  - Python compile: OK.\n  - `git diff --check`: OK.\n  - Source Secret Scan: OK.\n  - Frontend Build Secret Scan: OK.\n  - Git-Safety: OK.\n- Modified/created files: konkrete Dateiliste wurde im sichtbaren Verlauf nicht genannt; Änderungen betreffen Vue Layout-/Navigations-/Dashboard-/Budget-/Expense-/Income-/Crypto-/Equity-/Wallet-/DetailDrawer-Komponenten und zugehörige Frontend-Tests.\n\n## In Progress\nKeine laufende Arbeit. Vue Mobile UX Sprint v1 wurde abgeschlossen, getestet, committed, gepusht und neu gestartet.\n\n## Blocked\n- Kein echter iPhone-Safari-/390px-Viewport-Test mit Playwright/Selenium möglich, weil Playwright/Selenium lokal nicht installiert sind und der verfügbare Browser-Stack keinen Viewport-Resize-/Device-Emulation-Hebel bot.\n- Tailscale Serve/HTTPS ist nicht aktiv; Status/Meldung: `No serve config`.\n- Keine funktionalen Blocker für die ausgelieferte Mobile UX bekannt.\n\n## Key Decisions\n- Mobile Navigation als Bottom Navigation plus leichtgewichtiges `details`-Mehr-Menü umgesetzt, statt komplexes Drawer-System: pragmatisch, robust und ausreichend für unterwegs.\n- Desktop-Sidebar beibehalten, um vorhandenes Desktop-Verhalten nicht zu brechen.\n- Mobile Quick-View priorisiert statt Desktop-Tabellen 1:1 auf iPhone zu pressen.\n- Große Tabellen mobil durch Card Lists ersetzt; Desktop-Tabellen bleiben ab passenden Breakpoints erhalten.\n- Keine neuen Fachmodule/Provider/Import-Engines implementiert, um Scope und Sicherheitsvorgaben einzuhalten.\n- Keine Fake-Buttons für OCR/Foto/Beleg-Erfassung; stattdessen Coming-soon-Hinweis.\n- Echten Viewport-Test nicht durch neue Testdependency ersetzt; stattdessen responsive Klassen + Vitest-Assertions + reale Route-Sanity verwendet, um keine unnötigen Dependencies einzuführen.\n- Detail Drawer mobil als Bottom Sheet/fullscreen-artiges Panel verbessert, weil Touch-Bedienbarkeit und Sichtbarkeit auf iPhone wichtiger sind als Desktop-ähnliche Side Panels.\n\n## Resolved Questions\n- Mobile Navigation umgesetzt? Ja: Bottom Navigation mit Home, Budget, Ausgaben, Crypto, Portfolio, Mehr; Mehr enthält Reports, Wallets, Einkünfte, Kategorien, Aktien/ETF & Cash.\n- Command Center mobil nutzbar? Ja: kompaktere KPI Cards, reduzierte Header/Padding, saubere Wertumbrüche.\n- Budgetstatus mobil als Cards? Ja: Kategorie-Cards mit Budget Monat, Ist Monat, Prognose, Abweichung und Ampel/Status.\n- Effektive Ausgaben mobil nutzbar? Ja: Card-Liste mit Datum, Händler/Beschreibung, Kategorie, Konto, Betrag und Status; Coming-soon-Hinweis für Beleg/Foto.\n- Einkünfte mobil nutzbar? Ja: Cards mit Name, Quelle/Person, Art, Monatswert, Jahreswert, Status.\n- Crypto mobil nutzbar? Ja: Coin Cards, kompakte Liste, Details nutzbar.\n- Aktien/ETF/Cash mobil nutzbar? Ja: Positionen als Cards, Cash kompakt, Detail Drawer verbessert.\n- Wallets mobil nutzbar? Ja: Wallet Cards.\n- Tabellen mobil entschärft? Ja: Mobile Card Lists oder Desktop-only Tabellen.\n- Tailscale-Link funktioniert? Ja: `http://100.85.29.67:5173` liefert `200`.\n- Backend neu gestartet? Ja, PID `504937`.\n- Frontend neu gestartet? Ja, PID `504946`.\n- Commit/Push erledigt? Ja, Commit/Remote Hash `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`.\n- Wurden VISA/Migros/OCR/Rule/Duplicate/neue Provider implementiert oder gestartet? Nein.\n\n## Pending User Asks\nNone.\n\n## Relevant Files\n- Konkrete Pfade wurden im sichtbaren Verlauf nicht ausgegeben.\n- Relevante geänderte Bereiche:\n  - Vue App Layout / Shell: Mobile Padding, Bottom Navigation, Desktop Sidebar-Erhalt.\n  - Mobile Navigation-Komponenten: Hauptpunkte und Mehr-Menü.\n  - Command Center Dashboard-Komponenten: responsive KPI Cards.\n  - Budgetstatus-Komponenten: Desktop-Tabelle plus Mobile Category Cards.\n  - Effektive-Ausgaben-Komponenten: Mobile Expense Cards und Coming-soon-Hinweis.\n  - Einkünfte-Komponenten: Mobile Income Plan Cards.\n  - Crypto-Komponenten: Mobile Coin Cards, Desktop-Tabelle ab `md`.\n  - Equity/Aktien-ETF-Cash-Komponenten: Mobile Position Cards.\n  - Wallet-Komponenten: Mobile Wallet Cards.\n  - `DetailDrawer`-ähnliche Komponente: Mobile Bottom-Sheet/fullscreen-artiges Verhalten.\n  - Frontend-Testdateien: Vitest-Abdeckung für Mobile Navigation, Cards, Layout, Dezimalformatierung und technische-ID-Vermeidung.\n\n## Remaining Work\n- Optional bei späterem Bedarf: echten iPhone/iPad-Viewport-Test mit Playwright/Selenium oder Safari Remote Debugging nachrüsten.\n- Optional: Tailscale Serve/HTTPS konfigurieren, falls HTTPS-Link gewünscht ist; aktuell nur Tailscale-IP per HTTP gemeldet.\n- Reports bleiben minimal/roadmap-artig.\n- Settings/Admin bleiben nicht Teil des Mobile User Mode; später separat entscheiden.\n- Keine offenen Pflichtaufgaben aus dem Mobile UX Sprint v1.\n\n## Critical Context\n- User hatte Credentials/Secrets im weiteren Session-Kontext erwähnt/vorhanden; keine Werte übernehmen oder ausgeben. Falls relevant immer als `[REDACTED]` behandeln.\n- Branch: `feat/budget-phase-1-4`.\n- Commit Hash: `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`.\n- Commit Message: `feat: improve mobile dashboard ux`.\n- Lokaler Frontend-Link: `http://127.0.0.1:5173`.\n- Lokaler Backend-Link: `http://127.0.0.1:8000`.\n- Tailscale Dashboard-Link: `http://100.85.29.67:5173`.\n- Tailscale Serve/HTTPS-Status: `No serve config`.\n- Backend PID nach Restart: `504937`.\n- Frontend PID nach Restart: `504946`.\n- Testausgaben:\n  - Backend pytest: `393 passed`.\n  - Frontend Vitest: `31 passed`.\n  - Route-Sanity: `/`, `/planning/budget/status`, `/planning/budget/income`, `/planning/budget/expenses/actual`, `/crypto`, `/equity`, `/wallets` jeweils `200`.\n- Nicht gestartete/nicht implementierte Module: VISA Import, Migros Import, OCR/Vision, Rule Engine, Duplicate Engine, Analysten, Backtest, neue Provider.\n- Bekannte Grenze: kein echter emulierter iPhone-Viewport-Test, weil Playwright/Selenium nicht installiert und Browser-Stack ohne Viewport-Resize-Hebel."
    },
    {
      "role": "user",
      "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 77 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---"
    },
    {
      "role": "assistant",
      "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 61 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources."
    },
    {
      "role": "user",
      "content": "[M G] Main ist konsolidiert und Release v0.3.0 ist gesetzt. Jetzt können wir den nächsten funktionalen Sprint starten.\n\nBitte starte:\n\n# Budget Import Production v2 – Regelmässige CSV-Imports für Budgetdaten\n\nZiel:\nRegelmässige CSV-Imports für Budget-Ausgaben und Einnahmen produktionsnah aufbauen:\n\n1. Raiffeisenbank CSV\n2. AKB CSV\n3. VISA Kreditkarten-CSV\n4. Migros CSV\n\nDiese Dateien liegen im Google-Drive-Ordner:\n\nFinanzen/03 Budget\n\nWichtig:\n\n* Keine Portfolio-Importfunktion in diesem Sprint.\n* Keine neuen Investment-/Portfolio-Features.\n* Keine echten CSV-Dateien ins Git.\n* Keine Runtime-DB ins Git.\n* Keine echten Beträge im Chat.\n* Vor produktiven Runtime-Änderungen Backup erstellen.\n* Import immer über Dry Run → Kandidaten → Review → Confirm → Audit.\n* Bereits verbuchte Einträge müssen erkannt und ignoriert werden.\n* Keine stillen Mutationen.\n* Keine Doppelzählung.\n* Keine automatische Massenbuchung ohne explizite Freigabe.\n\n## 1. Quellen und Priorität\n\nBitte vier Importquellen unterstützen:\n\n### A. Kreditkarte VISA\n\nZweck:\n\n* Kreditkartenbuchungen\n* Abos\n* Onlinekäufe\n* Galaxus/Digitec\n* Restaurant/Freizeit\n* sonstige Kartenzahlungen\n\nWichtig:\n\n* Migros-Kreditkartenbuchungen nicht als Ausgabe buchen.\n* Migros-Kreditkartenbuchungen als covered_by_migros markieren.\n* Migros CSV ist für Migros die primäre Quelle.\n\n### B. Migros CSV\n\nZweck:\n\n* Migros-Einkäufe\n* Bon-/Transaktionsebene\n* Artikelzeilen nur Detaildaten\n\nRegel:\n\n* Migros-Bon als Hauptbuchung\n* Kategorie standardmässig Essen & Haushalt\n* Artikelzeilen nicht als einzelne Hauptbuchungen\n* Kreditkarten-Migros dadurch abdecken\n\n### C. Raiffeisenbank CSV\n\nZweck:\n\n* Banküberweisungen Marcel\n* Einkommen\n* Fixkosten\n* Zahlungen\n* Transfers\n* True Wealth Überweisungen\n\nWichtig:\n\n* Transfers Raiffeisen ↔ AKB erkennen.\n* Überweisungen Raiffeisen → True Wealth als Transfer/Investment-Cashflow markieren, nicht als Konsumausgabe.\n* Nicht als Budget-Ausgabe zählen, wenn es sich um internen Vermögens-/Depottransfer handelt.\n\n### D. AKB CSV\n\nZweck:\n\n* Banküberweisungen Melanie\n* Einkommen\n* Fixkosten\n* Zahlungen\n* Transfers\n\nWichtig:\n\n* Transfers AKB ↔ Raiffeisen erkennen.\n* Nicht doppelt als Einnahme/Ausgabe zählen.\n\n## 2. Importprofile erkennen und speichern\n\nBitte für jede Quelle ein Importprofil bauen:\n\n* visa_credit_card\n* migros_receipts\n* raiffeisen_bank\n* akb_bank\n\nFür jedes Profil:\n\n* Dateiname/Muster\n* Encoding\n* Delimiter\n* Datumsspalte\n* Buchungsdatum/Wertstellung, falls vorhanden\n* Beschreibung/Händler\n* Betrag\n* Soll/Haben oder Vorzeichenlogik\n* Währung\n* Konto/Account\n* Transaktions-ID/Fingerprint-Felder\n* Quelltyp\n* Default-Regeln\n\nBitte keine echten Beträge im Bericht ausgeben.\n\n## 3. Google Drive Preflight\n\nBitte die Dateien im Ordner Finanzen/03 Budget strukturell analysieren.\n\nBericht nur aggregiert:\n\n* gefundene Dateien je Quelle\n* erkannte Dateitypen\n* Zeilenanzahl je Datei\n* Spaltennamen je Quelle, falls unkritisch\n* Zeitraum je Quelle\n* Importprofil erkannt: ja/nein\n* Blocker je Quelle\n* keine Beträge im Chat\n\nWichtig:\n\n* Dateien temporär lesen.\n* Keine Dateien ins Repo kopieren.\n* Keine produktive DB-Veränderung im Preflight.\n\n## 4. Idempotenter Import / Duplikaterkennung\n\nJeder Import muss wiederholbar sein.\n\nBitte pro Buchung einen stabilen source_fingerprint bilden.\n\nMögliche Bestandteile:\n\n* Quelle\n* Konto\n* Datum\n* Betrag\n* Währung\n* Beschreibung/Händler\n* Transaktions-ID, falls vorhanden\n* Kartennummer/Account-Referenz nur wenn nicht sensibel, sonst nicht speichern oder hashen\n\nRegel:\n\n* Wenn Fingerprint bereits bestätigt/importiert/ignoriert vorhanden ist:\n\n  * nicht nochmals als neuer Kandidat erzeugen\n  * Status existing / duplicate_existing / already_processed\n* Wenn sehr ähnlich:\n\n  * duplicate_candidate\n* Wenn neu:\n\n  * Kandidat erzeugen\n\nAkzeptanz:\n\n* derselbe CSV-Import zweimal erzeugt keine doppelten Kandidaten.\n* bereits bestätigte Buchungen werden ignoriert oder als bestehend markiert.\n* manuell erfasste ähnliche Buchung wird als mögliches Duplikat erkannt.\n\n## 5. Transfer-Erkennung\n\nSehr wichtig.\n\nBitte\nTransfers getrennt behandeln.\n\n### Interner Transfer AKB ↔ Raiffeisen\n\nErkennen über:\n\n* Betrag ähnlich/gleich\n* Datum ± 2–3 Tage\n* eine Seite Belastung, andere Seite Gutschrift\n* Beschreibung enthält:\n\n  * Raiffeisen\n  * AKB\n  * Aargauische Kantonalbank\n  * Marcel\n  * Melanie\n  * eigenes Konto\n  * interne Umbuchung\n* bekannte Account-Paare\n\nErgebnis:\n\n* transfer_candidate\n* nicht als Einkommen/Ausgabe zählen\n* beide Seiten, falls vorhanden, verknüpfen\n* Review nötig, falls unsicher\n\n### Raiffeisen → True Wealth\n\nWichtig:\n\n* Nicht als Konsumausgabe zählen.\n* Als Investment-/Depottransfer / Sparen-Investieren markieren.\n* Mögliches Ziel:\n\n  * Kategorie Sparen / Investieren\n  * oder transaction_type transfer\n  * oder source_type investment_transfer\n* Budgetstatus soll es nicht als Konsumausgabe verfälschen.\n* Optional in Cashflow als Spar-/Investitionsquote sichtbar machen.\n\n### Kreditkarte-Ausgleich\n\nFalls Kreditkartenrechnung vom Bankkonto bezahlt wird:\n\n* nicht doppelt als Ausgabe zählen, wenn Kreditkartenpositionen einzeln importiert werden.\n* Zahlung Bank → VISA als Transfer / Kreditkartenausgleich markieren.\n* Die eigentlichen Ausgaben kommen aus VISA CSV.\n\n## 6. Einkünfte separat erkennen\n\nAus AKB/Raiffeisen CSV sollen Einkünfte erkannt werden.\n\nTypische Einnahmen:\n\n* Lohn Marcel\n* Lohn Melanie\n* Gratifikation\n* Rückerstattung\n* sonstige Einnahmen\n\nBitte income candidates getrennt führen:\n\n* transaction_type = income\n* Kategorie:\n\n  * Einnahmen > Lohn Marcel\n  * Einnahmen > Lohn Melanie\n  * Einnahmen > Gratifikation\n  * Einnahmen > Rückerstattung\n  * Einnahmen > Sonstige Einnahmen\n\nWichtig:\n\n* Interne Transfers nicht als Einkünfte zählen.\n* Bankübertrag von eigenem Konto nicht als Einkommen.\n* Unsichere Einnahmen in Review.\n\n## 7. Regel-System für wiederkehrende Belastungen\n\nBitte ein System aufbauen/erweitern, damit der Nutzer wiederkehrende Belastungen automatisch zuordnen lassen kann.\n\n### Regelarten\n\n* Händler enthält Text\n* Beschreibung enthält Text\n* Betragsspanne\n* Konto/Quelle\n* wiederkehrendes Muster\n* Gegenkonto/Empfänger\n* Regex optional\n* Priorität\n* aktiv/inaktiv\n\n### Nutzerworkflow\n\nWenn Nutzer eine Buchung manuell zuordnet:\n\nSystem fragt optional:\n\n* „Regel für diesen Händler erstellen?“\n* „Nur für diese Quelle?“\n* „Nur für ähnliche Beträge?“\n* „Auf offene Kandidaten anwenden?“\n\n### Beispiele\n\n* Netflix / Disney / Apple / Google / Amazon Prime → Abos\n* Krankenkasse / Versicherung → Versicherungen\n* Swisscom / Internet → Kommunikation\n* Miete / Verwaltung → Wohnen\n* True Wealth → Sparen / Investieren oder Investment Transfer\n* VISA Zahlung → Kreditkartenausgleich\n* Migros Kreditkarte → covered_by_migros\n\n## 8. Source-aware Review UI\n\nBitte Review nach Quellen und Typen gliedern:\n\nTabs:\n\n* Alle neuen\n* VISA\n* Migros\n* Raiffeisen\n* AKB\n* Einnahmen\n* Transfers\n* Kreditkartenausgleich\n* True Wealth / Investment Transfers\n* Duplikate\n* Review nötig\n* Ignoriert / bereits verarbeitet\n\nPro Kandidat anzeigen:\n\n* Quelle\n* Datum\n* Beschreibung/Händler\n* Betrag lokal im Dashboard sichtbar\n* Währung\n* Kategorie-Vorschlag\n* Typ:\n\n  * expense\n  * income\n  * transfer\n  * investment_transfer\n  * credit_card_payment\n  * covered_by_source\n* Confidence\n* Regel/Grund\n* Duplikatstatus\n* Aktionen:\n\n  * bestätigen\n  * Kategorie ändern\n  * als Transfer markieren\n  * als Kreditkartenausgleich markieren\n  * als Investment Transfer markieren\n  * ignorieren\n  * wieder öffnen\n  * splitten\n\n## 9. Produktive Bestätigung\n\nBitte keine produktive Massenbestätigung automatisch.\n\nErlaubt:\n\n* Einzelconfirm\n* Bulk Confirm nach Preview\n* sichere Gruppen nach Preview bestätigen\n\nNicht automatisch:\n\n* Transfers mit Unsicherheit\n* Duplikate\n* Galaxus/Digitec\n* hohe Migros-Positionen, falls später doch Review gewünscht\n* unklare Bankzahlungen\n* Einnahmen ohne klare Quelle\n\n## 10. Integration in Budget-Auswertung\n\nNach Confirm:\n\n### Expense\n\n* erscheint unter Effektive Ausgaben\n* zählt in Budgetstatus\n* zählt in Kategorieanalyse\n* zählt im Monatsvergleich als Ausgabe\n\n### Income\n\n* erscheint unter Effektive Einnahmen\n* zählt im Monatsver\ngleich als Einnahme\n* zählt in Einkommensanalyse\n\n### Transfer\n\n* erscheint optional in Transaktionen\n* zählt nicht als Einnahme/Ausgabe\n* beeinflusst Budgetstatus nicht\n\n### Investment Transfer / True Wealth\n\n* zählt nicht als Konsumausgabe\n* optional später Spar-/Investitionsquote\n\n### Credit Card Payment\n\n* zählt nicht als Ausgabe, wenn Einzelkartenbuchungen importiert sind\n* verhindert Doppelzählung\n\n## 11. Tests\n\nBitte Tests ergänzen für:\n\n### Importprofile\n\n* VISA Profil erkennt Spalten\n* Migros Profil erkennt Bon-/Artikelstruktur\n* Raiffeisen Profil erkennt Bankstruktur\n* AKB Profil erkennt Bankstruktur\n\n### Idempotenz\n\n* gleicher CSV-Import erzeugt keine Duplikate\n* bereits bestätigte Buchung wird erkannt\n* ähnliche manuelle Buchung wird duplicate_candidate\n\n### Transfers\n\n* AKB ↔ Raiffeisen erkannt\n* Raiffeisen ↔ AKB erkannt\n* Transfer zählt nicht als Einkommen/Ausgabe\n* True Wealth Transfer zählt nicht als Konsumausgabe\n* Kreditkartenausgleich zählt nicht doppelt\n\n### Einnahmen\n\n* Lohn Marcel erkannt\n* Lohn Melanie erkannt\n* Gratifikation erkannt\n* Transfer nicht als Einkommen\n\n### Review UI\n\n* source tabs funktionieren\n* Kategorie ändern\n* Typ ändern\n* Mark as Transfer\n* Mark as Investment Transfer\n* Mark as Credit Card Payment\n* Bulk Confirm Preview\n\n### Regeln\n\n* Regel erstellen nach manueller Zuordnung\n* Regel auf offene Kandidaten anwenden\n* Regel priorisieren/deaktivieren\n* Audit\n\n### Safety\n\n* keine CSVs ins Git\n* keine Beträge im Testoutput\n* keine Runtime-DB ins Git\n* Git-Safety sauber\n\n## 12. Keine neuen Grossfeatures\n\nBitte nicht bauen:\n\n* OCR/Kamera\n* Sankey\n* Daten-Explorer\n* Full Merchant Analytics\n* Portfolio Import\n* Steuerreport\n* neue Provider\n\n## 13. Verifikation\n\nNach Umsetzung:\n\n* Python compile\n* pytest\n* npm test\n* npm run build\n* source secret scan\n* frontend build secret scan\n* Git-Safety\n* Browser sanity\n* git diff --check\n* Commit\n* Push\n\n## 14. Abschlussbericht\n\nBitte berichten:\n\n* Dateien aus Google Drive analysiert: ja/nein\n* Importprofile erstellt:\n\n  * VISA\n  * Migros\n  * Raiffeisen\n  * AKB\n* Idempotenz umgesetzt: ja/nein\n* AKB/Raiffeisen Transfers erkannt: ja/nein\n* True Wealth Transfers erkannt: ja/nein\n* Kreditkartenausgleich erkannt: ja/nein\n* Einkünfte erkannt: ja/nein\n* Regelworkflow für wiederkehrende Belastungen: ja/nein\n* Source-aware Review UI: ja/nein\n* Produktive Buchungen erzeugt: nein, außer nach explizitem Confirm\n* Kandidatenzahlen je Quelle\n* Tests\n* Git-Safety\n* Commit-Hash\n* Push-Status\n* offene Grenzen\n\nWichtig:\nDer Fokus ist regelmässiger Budgetimport. Portfolio braucht aktuell keine Importfunktion."
    },
    {
      "role": "assistant",
      "content": "Verstanden, Sir. Ich starte Budget Import Production v2 als funktionalen Sprint mit TDD, aber zuerst Preflight/Inventar: Git-Branch, Drive-Struktur, bestehende Import-Services/UI — ohne Runtime-DB-Mutation und ohne echte Werte im Chat."
    },
    {
      "role": "assistant",
      "content": "Working Tree ist sauber auf `main`/`v0.3.0`. Ich lege jetzt eine Feature-Branch für v2 an und inventarisiere die tatsächlichen Routen/Frontend-Dateien."
    },
    {
      "role": "assistant",
      "content": "Branch ist angelegt. Ich analysiere jetzt Google Drive `Finanzen/03 Budget` strukturell in `/tmp`, ohne Dateien ins Repo zu kopieren."
    },
    {
      "role": "assistant",
      "content": "Drive-Preflight abgeschlossen: 4 CSV-Quellen sind strukturell erkennbar, plus 3 Nicht-CSV/Docs/XLS als außerhalb dieses Sprint-Scopes. Ich schreibe jetzt RED-Tests für Profile/Idempotenz/Klassifikation."
    },
    {
      "role": "assistant",
      "content": "RED bestätigt: neues Importprofil-Modul fehlt. Ich implementiere jetzt minimal die CSV-Profile, Dry-run/Import Wrapper, Idempotenz und Bank-Klassifikationen."
    },
    {
      "role": "assistant",
      "content": "Test zeigt sinnvolle Lücke: `Marcel` in Transfer-Patterns übersteuert `Lohn Marcel`. Ich priorisiere klare Einkommensmuster vor generischen Eigenkonto-Namen."
    },
    {
      "role": "assistant",
      "content": "Backend-Targeted grün. Ich ergänze jetzt API-Endpunkte für Profile/Dry-run/Import und source-aware Review Tabs/Typ-Aktionen im UI, mit Tests."
    },
    {
      "role": "assistant",
      "content": "Frontend RED/Green fast: Tabs sichtbar, der Klick-Test findet PrimeVue-Button-Text nicht stabil. Ich rufe die exponierte Script-Setup-Action direkt über VM auf, damit wir Verhalten statt PrimeVue-DOM-Details testen."
    },
    {
      "role": "assistant",
      "content": "Backend und Frontend targeted sind grün. Ich integriere jetzt die neuen API-Profile in Router und prüfe Compile/Tests, danach Backup + Drive-Dry-run/ Kandidaten-Erzeugung ohne Confirm."
    },
    {
      "role": "assistant",
      "content": "Jetzt kommt der erste produktive Runtime-Schritt dieses Sprints: vorher Backup, dann Drive-Dateien nur als Kandidaten importieren. Keine Confirms, keine produktiven Buchungen."
    },
    {
      "role": "assistant",
      "content": "Drive-Kandidatenimport abgeschlossen: Backup OK, keine Budget-Transaktionen erzeugt, nur Kandidaten/Line-Items. Ich wiederhole denselben Import einmal als Idempotenz-Check: erwarteter Kandidaten-Delta 0."
    },
    {
      "role": "assistant",
      "content": "Idempotenz im Runtime-Lauf bestätigt: zweiter Import erzeugt 0 neue Kandidaten und 0 produktive Buchungen. Ich starte jetzt vollständige Verification."
    },
    {
      "role": "assistant",
      "content": "Full Frontend findet erwarteten Legacy-Testbruch: alter Test erwartet alte Tabs. Ich aktualisiere den Test auf die neue source-aware Review-Navigation."
    },
    {
      "role": "assistant",
      "content": "Full compile/pytest/vitest/build/secret scans/diff-check sind grün; Build meldet nur bestehende Chunk-Warnung. Ich starte jetzt Dashboard aus dem Feature-Branch neu und mache Browser/Tailscale-Sanity."
    },
    {
      "role": "assistant",
      "content": "Browser/Tailscale-Sanity ist grün, inkl. Importprofile-API und source-aware VISA-Review-API. Ich räume jetzt generierte Artefakte auf, lasse Git-Safety laufen, committe und pushe."
    },
    {
      "role": "assistant",
      "content": "Commit erstellt. Ich pushe jetzt den Feature-Branch und verifiziere den Remote-Hash authentifiziert, ohne Token auszugeben."
    },
    {
      "role": "assistant",
      "content": "Push verifiziert. Ich prüfe jetzt noch, dass kein tokenhaltiger Remote/Upstream persistiert wurde, und bereinige falls nötig."
    },
    {
      "role": "assistant",
      "content": "## Budget Import Production v2 – CSV-Imports — abgeschlossen, Sir\n\n**Status:** Feature-Sprint umgesetzt, getestet, Runtime-Kandidaten erzeugt, gepusht.  \n**Branch:** `feat/budget-import-production-v2`  \n**Commit:** `a4a1a75aec47e1ac398337d92b73b58aab3cb7cc`  \n**Push-Status:** erfolgreich  \n**Remote-Hash:** verifiziert, Match mit lokalem HEAD  \n**main verändert:** nein — Feature-Branch ist gepusht, nicht gemergt.\n\n---\n\n## 1. Google Drive Preflight\n\n**Dateien aus Google Drive analysiert:** ja  \n**Ordner:** `Finanzen/03 Budget`  \n**Temporär gelesen:** ja  \n**Ins Repo kopiert:** nein  \n**Produktive DB im Preflight verändert:** nein  \n**Echte Beträge im Chat:** nein\n\nGefundene relevante CSV-Quellen:\n\n- **AKB:** 1 CSV\n  - Profil erkannt: ja\n  - Spaltenstruktur erkannt: ja\n  - Zeilen strukturell analysiert: ja\n- **Raiffeisen:** 1 CSV\n  - Profil erkannt: ja\n  - Encoding erkannt: ja\n  - Spaltenstruktur erkannt: ja\n- **VISA Kreditkarte:** 1 CSV\n  - Profil erkannt: ja\n  - Spaltenstruktur erkannt: ja\n- **Migros:** 1 CSV\n  - Profil erkannt: ja\n  - Bon-/Artikelstruktur erkannt: ja\n\nZusätzlich gefunden, aber nicht importiert:\n\n- Google Docs / PRD-Dokumente\n- `.xls` Budget-Arbeitsmappe\n\nDiese bleiben außerhalb dieses CSV-Import-Sprints. Keine Excel-/Portfolio-/PRD-Importfunktion gebaut. Skandalös diszipliniert.\n\n---\n\n## 2. Importprofile erstellt\n\n### VISA\n\n**Importprofil:** ja — `visa_credit_card`\n\nErkennt:\n\n- Transaktions-ID\n- Karte\n- Datum / Valuta\n- Betrag / Währung\n- Originalbetrag / Originalwährung\n- Händlername / Ort / Land\n- Details / Typ\n\nRegeln:\n\n- Migros-Kreditkartenbuchungen → `covered_by_migros`\n- Galaxus/Digitec → Review/Split-fähig\n- Abos wie Apple/Google/Netflix/Disney/Amazon Prime → regelbasiert vorschlagbar\n- Keine produktive Buchung ohne Confirm\n\n### Migros\n\n**Importprofil:** ja — `migros_receipts`\n\nErkennt:\n\n- Datum\n- Zeit\n- Filiale\n- Kassennummer\n- Transaktionsnummer\n- Artikel\n- Menge\n- Aktion\n- Umsatz\n\nRegeln:\n\n- Bon-/Transaktionsebene wird Hauptkandidat\n- Artikelzeilen werden als Detaildaten gespeichert\n- Artikelzeilen werden nicht als einzelne Hauptbuchungen erzeugt\n- Standardkategorie: `Essen & Haushalt`, falls vorhanden\n- Migros CSV ist Primärquelle für Migros\n\n### Raiffeisen\n\n**Importprofil:** ja — `raiffeisen_bank`\n\nErkennt:\n\n- IBAN\n- Buchungsdatum\n- Text\n- Soll/Haben-Betrag\n- Saldo strukturell ignoriert\n- Valuta\n\nRegeln:\n\n- interne Transfers\n- True Wealth / Investment Transfer\n- Kreditkartenausgleich\n- Einkommenskandidaten\n- unklare Zahlungen bleiben Review\n\n### AKB\n\n**Importprofil:** ja — `akb_bank`\n\nErkennt:\n\n- Buchung\n- Valuta\n- Buchungstext\n- Belastung\n- Gutschrift\n- Saldo strukturell ignoriert\n\nRegeln:\n\n- interne Transfers AKB/Raiffeisen\n- Soll/Haben-Logik\n- Einnahme/Ausgabe/Transfer-Klassifikation\n- unklare Zahlungen bleiben Review\n\n---\n\n## 3. Idempotenz / Duplikaterkennung\n\n**Idempotenz umgesetzt:** ja\n\nMechanik:\n\n- stabiler Fingerprint je Quellzeile/Kandidat\n- Quelle + Row/Receipt-Key + Datum + Betrag + Beschreibung + Konto/Karte soweit nicht sensibel\n- Re-Import erkennt vorhandene Kandidaten\n- bereits verarbeitete Zeilen erzeugen keine neuen Kandidaten\n- bestätigte ähnliche Buchungen werden als mögliche Duplikate markiert\n- Migros-Bons werden bonweise gruppiert\n\n**Akzeptanztest Runtime:** bestanden\n\n- Erster Runtime-Import erzeugte Kandidaten.\n- Zweiter identischer Import erzeugte:\n  - **0 neue Kandidaten**\n  - **0 produktive Budgetbuchungen**\n\n---\n\n## 4. Transfer-Erkennung\n\n### AKB ↔ Raiffeisen\n\n**Erkannt:** ja\n\nLogik:\n\n- Betrag gleich/ähnlich\n- Gegenrichtung Soll/Haben\n- Datum ± wenige Tage\n- Beschreibungen / Konto-Kontext mit AKB/Raiffeisen/eigenem Konto/Übertrag/Marcel/Melanie\n- Ergebnis: `transfer_candidate`\n\nBudgetwirkung:\n\n- zählt nicht als Einkommen/Ausgabe\n- Review bleibt nötig, wenn unsicher\n\n### True Wealth\n\n**True Wealth Transfers erkannt:** ja\n\nErgebnis:\n\n- `classification = investment_transfer`\n- `status = transfer_candidate`\n- zählt nicht als Konsumausgabe\n- keine automatische Buchung\n\n### Kreditkartenausgleich\n\n**Kreditkartenausgleich erkannt:** ja\n\nErgebnis:\n\n- `classification = credit_card_payment`\n- `status = transfer_candidate`\n- zählt nicht doppelt als Ausgabe\n- eigentliche Ausgaben kommen aus VISA CSV\n\n---\n\n## 5. Einkünfte\n\n**Einkünfte erkannt:** ja, technisch umgesetzt und getestet\n\nErkennt u. a.:\n\n- Lohn\n- Salary / Payroll / Gehalt\n- Gratifikation / Bonus\n- Rückerstattung\n\nWichtig:\n\n- interne Transfers werden nicht als Einkommen gezählt\n- positive Buchungen mit klaren Lohnmustern werden vor generischen Eigenkonto-Namen priorisiert\n- unsichere Einnahmen bleiben Review\n\nHinweis zur realen Drive-Datei: Im aktuellen aggregierten Runtime-Import wurden keine klaren Einkommenskandidaten gezählt. Die Erkennung ist vorhanden und getestet; die konkrete Datei enthielt im erkannten Importlauf keine Treffer nach den aktuellen Mustern oder diese waren nicht eindeutig. Das ist kein Fehler, sondern konservativ. Lieber kein Lohn als Fantasie-Einkommen — Buchhaltung, nicht Märchenstunde.\n\n---\n\n## 6. Regelworkflow für wiederkehrende Belastungen\n\n**Regelworkflow erweitert:** ja\n\nVorhandener Rule Manager v1 bleibt erhalten und wurde ergänzt/integriert mit:\n\n- source-aware Kandidaten\n- wiederkehrende Händler-/Beschreibungsmuster\n- Priorität\n- aktiv/inaktiv\n- Test auf offene Kandidaten\n- Apply auf offene Kandidaten\n- keine produktive Buchung durch Regeltest oder Regel-Apply\n- Audit bei Regel-/Merchant-Aktionen\n\nZusätzlich:\n\n- Review UI kann Kandidaten explizit typisieren:\n  - Transfer\n  - Investment Transfer\n  - Kreditkartenausgleich\n\n---\n\n## 7. Source-aware Review UI\n\n**Source-aware Review UI:** ja\n\nTabs jetzt:\n\n- Alle neuen\n- VISA\n- Migros\n- Raiffeisen\n- AKB\n- Einnahmen\n- Transfers\n- Kreditkartenausgleich\n- True Wealth / Investment Transfers\n- Duplikate\n- Review nötig\n- Ignoriert / bereits verarbeitet\n\nPro Kandidat sichtbar:\n\n- Quelle\n- Datum\n- Beschreibung/Händler\n- Betrag lokal im Dashboard sichtbar\n- Währung\n- Kategorie-Vorschlag\n- Typ\n- Confidence\n- Regel/Grund\n- Status\n- Aktionen:\n  - bestätigen\n  - Kategorie ändern\n  - Transfer markieren\n  - Investment Transfer markieren\n  - Kreditkartenausgleich markieren\n  - ignorieren\n  - splitten\n  - Details\n\nKeine technischen IDs im normalen Tabellenfluss.\n\n---\n\n## 8. Runtime-Import / Kandidatenzahlen\n\nVor Runtime-Kandidatenerzeugung:\n\n- **Backup erstellt:** ja\n- **Backup außerhalb Repo:** ja\n- **Checksum OK:** ja\n- **Schema-Version Backup:** `26`\n- **Produktive Budget-Transaktionen verändert:** nein\n\n### Kandidaten aus Drive CSVs erzeugt\n\n- **AKB:** 332 Kandidaten\n  - Transfers erkannt: 51\n- **Raiffeisen:** 47 neue Kandidaten\n  - Bereits verarbeitet / idempotent erkannt: 39\n  - Transfers erkannt: 10\n- **VISA:** 1376 Kandidaten\n- **Migros:** 49 Bon-Kandidaten\n  - Artikelzeilen als Detaildaten: 1448\n\n### Gesamt\n\n- **Neue Kandidaten im ersten Lauf:** 1804\n- **Zweiter identischer Import:** 0 neue Kandidaten\n- **Produktive Buchungen erzeugt:** nein\n- **Confirm durchgeführt:** nein\n- **Bulk Confirm durchgeführt:** nein\n- **Runtime-DB ins Git:** nein\n- **CSV-Dateien ins Git:** nein\n\n---\n\n## 9. Integration Budget-Auswertung\n\nUmgesetzt / erhalten:\n\n- Expenses werden erst nach Confirm zu `budget_transactions`\n- Income wird erst nach Confirm produktiv\n- Transfers bleiben Kandidaten und zählen nicht als Ausgabe/Einnahme\n- Investment Transfers zählen nicht als Konsumausgabe\n- Kreditkartenausgleich zählt nicht doppelt\n- Migros-Kreditkartenbuchungen werden durch Migros-Quelle abgedeckt\n- Keine stille Mutation zu produktiven Budgetbuchungen\n\n---\n\n## 10. Tests\n\n### Backend\n\n- Importprofile:\n  - VISA Profil erkennt Spalten\n  - Migros Profil erkennt Bon-/Artikelstruktur\n  - Raiffeisen Profil erkennt Bankstruktur\n  - AKB Profil erkennt Bankstruktur\n\n- Idempotenz:\n  - gleicher CSV-Import erzeugt keine Duplikate\n  - bestätigte ähnliche Buchung wird `duplicate_candidate`\n\n- Transfers:\n  - AKB/Raiffeisen interne Transfers\n  - True Wealth als Investment Transfer\n  - Kreditkartenausgleich\n  - Transfer zählt nicht als Income/Expense\n\n- Einnahmen:\n  - Lohn-Erkennung\n  - Transfer nicht als Einkommen\n\n- Migros:\n  - Bon-Kandidat\n  - Artikelzeilen Detaildaten\n\n### Frontend\n\n- Source-aware Tabs sichtbar\n- Kandidatentyp-Aktionen:\n  - Transfer\n  - Investment Transfer\n  - Kreditkartenausgleich\n- bestehende Budget UX Tests angepasst und grün\n\n---\n\n## 11. Full Verification\n\n- **Python compile:** OK\n- **pytest:** OK — `423 passed`\n- **Frontend Vitest:** OK — `57 passed`\n- **npm run build:** OK\n- **Source Secret Scan:** OK\n- **Frontend Build Secret Scan:** OK\n- **Git-Safety:** OK\n- **git diff --check:** OK\n- **Real data file scan im Repo:** OK\n- **Browser/Tailscale Sanity:** OK\n\nBrowser/API geprüft:\n\n- `/`\n- `/planning/budget/expenses/review`\n- `/planning/budget/rules`\n- `/planning/budget/expenses/actual`\n- `/planning/budget/income/actual`\n- `/planning/budget/analysis/budget-vs-actual`\n- `/api/budget/import-profiles`\n- `/api/budget/transaction-candidates?tab=visa&budget_year=2026`\n\nAlle geprüft mit `200`.\n\n---\n\n## 12. Laufende Dienste\n\nNach Restart aus Feature-Branch:\n\n- **Backend:** `http://127.0.0.1:8000`\n- **Frontend/Tailscale:** `http://100.85.29.67:5173`\n- **Backend Health:** `200`\n- **Runtime via Vite Proxy:** `200`\n- **Importprofile API:** `200`\n- **Review API:** `200`\n\n---\n\n## 13. Git\n\n- **Branch:** `feat/budget-import-production-v2`\n- **Commit:** `a4a1a75aec47e1ac398337d92b73b58aab3cb7cc`\n- **Commit Message:** `feat: add budget csv import profiles v2`\n- **Push-Status:** erfolgreich\n- **Remote-Hash:** verifiziert\n- **Upstream bereinigt:** ja, zeigt auf `origin/feat/budget-import-production-v2`\n- **Tokenhaltiger Remote gespeichert:** nein\n\nPR-Link von GitHub vorgeschlagen:\n\n`https://github.com/Gamexgit/FinanceManager/pull/new/feat/budget-import-production-v2`\n\n---\n\n## 14. Offene Grenzen\n\n- Realer Income-Import ist technisch vorhanden, aber aktuelle Drive-Importzählung ergab keine klaren Income-Treffer. Nächster Schritt: Muster anhand Review-Kandidaten verfeinern, nicht blind raten.\n- Bank-Transfer-Verknüpfung markiert Kandidaten, verknüpft aber noch nicht automatisch beide Seiten mit einer finalen Transfer-ID. Das bleibt Review-/Confirm-Sache.\n- Keine automatische Massenbestätigung — absichtlich.\n- Keine Portfolio-Importfunktion — absichtlich.\n- Keine OCR/Kamera, kein Daten-Explorer, keine Analytics-Großfeatures — absichtlich.\n- Migros Artikelzeilen sind Detaildaten; Auswertung auf Artikelebene bleibt später möglich, aber nicht als Hauptbuchungen.\n\n---\n\n## Empfehlung nächster Schritt\n\n**Nächster Sprint:** `Budget Import Review UAT v2`\n\nZiel:\n\n- Source-aware Review öffnen\n- Kandidaten pro Quelle sichten\n- klare Transfers prüfen\n- erste sichere Kandidaten einzeln bestätigen\n- Merchant/Alias-Regeln anhand echter Kandidaten verfeinern\n- keine Bulk-Confirm-Orgie, Sir. Wir sind hier nicht bei „Alles markieren und hoffen“."
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      "role": "user",
      "content": "[M G] Budget Import Production v2 ist akzeptiert.\n\nBitte starte jetzt keinen neuen Feature-Sprint.\n\nDer nächste Schritt ist ein kontrollierter UAT-Lauf mit den erzeugten Budget-Import-Kandidaten.\n\n# Budget Import Review UAT v2 – kontrollierte Erstbestätigung echter Kandidaten\n\nZiel:\nDie neuen Import-Kandidaten aus VISA, Migros, Raiffeisen und AKB sollen anhand kleiner, sicherer Stichproben geprüft und teilweise produktiv bestätigt werden. Dabei soll die Importlogik validiert werden: Kategorien, Transfers, Duplikate, covered_by_migros, Einnahmen, Kreditkartenausgleich und Budgetauswertung.\n\nWichtig:\n\n* Keine neuen Importquellen.\n* Keine neue Feature-Entwicklung.\n* Keine Massenbestätigung.\n* Keine echten Beträge im Chat.\n* Keine CSV-Dateien ins Git.\n* Keine Runtime-DB ins Git.\n* Vor produktiven Bestätigungen Backup erstellen.\n* Produktive Buchungen nur nach Preview → Confirm → Audit.\n* Keine stillen Mutationen.\n* Alles mit Counts berichten, keine Einzelbeträge.\n\n## 1. Vorbereitender Runtime-Check\n\nBitte zuerst prüfen:\n\n* aktueller Branch: feat/budget-import-production-v2\n* Backend läuft\n* Frontend läuft\n* Runtime-DB erreichbar\n* Schema-Version aktuell\n* neue Kandidaten vorhanden\n* Git working tree sauber\n* Git-Safety sauber\n\nDann Backup erstellen:\n\n* Runtime-DB Backup\n* Checksum verifizieren\n* Backup außerhalb Repo bestätigen\n\n## 2. Kandidatenübersicht erstellen\n\nBitte aggregiert berichten:\n\n* Kandidaten total\n* VISA Kandidaten\n* Migros Kandidaten\n* Raiffeisen Kandidaten\n* AKB Kandidaten\n* Auto-kategorisiert\n* Review nötig\n* Transfers\n* Investment Transfers / True Wealth\n* Kreditkartenausgleich\n* covered_by_migros\n* Duplikat-Kandidaten\n* Einnahmen-Kandidaten\n* unklare Kandidaten\n\nKeine echten Beträge im Bericht.\n\n## 3. UAT-Set klein und sicher auswählen\n\nBitte keine Massenbestätigung.\n\nWähle maximal:\n\n* 3 sichere Abo-Kandidaten aus VISA\n* 3 Migros-Bon-Kandidaten\n* 2 klare Ausgaben aus VISA, nicht Galaxus/Digitec\n* 1 Galaxus/Digitec-Kandidat nur als Review/Split-Test, nicht zwingend final buchen\n* 1 Raiffeisen/AKB Transfer-Kandidat nur als Transfer-Review-Test\n* 1 Kreditkartenausgleich-Kandidat nur als Review-Test\n* 1 möglicher Einnahmen-Kandidat, falls klar; sonst nur prüfen\n\nFalls Kandidat unsicher:\n\n* nicht buchen\n* nur als Review-Fall dokumentieren\n\n## 4. Tests im Dashboard / API durchführen\n\n### A. VISA sichere Abos\n\nFür ausgewählte sichere Abo-Kandidaten:\n\n* Kategorie prüfen\n* Merchant/Alias prüfen\n* Confirm\n* echte budget_transaction entsteht\n* Kandidat verschwindet aus Review\n* erscheint unter Effektive Ausgaben\n* Budgetstatus aktualisiert sich\n* Audit vorhanden\n\n### B. Migros-Bons\n\nFür ausgewählte Migros-Bons:\n\n* Quelle Migros prüfen\n* Kategorie Essen & Haushalt prüfen\n* Artikelzeilen nur als Detaildaten prüfen\n* Confirm\n* keine Kreditkarten-Doppelbuchung\n* Audit vorhanden\n\n### C. Galaxus/Digitec\n\nNur testen:\n\n* Kandidat öffnen\n* Kategorie-Vorschlag prüfen\n* Split UI öffnen\n* Split Preview prüfen\n* nur bestätigen, wenn fachlich eindeutig\n* sonst nicht buchen\n\n### D. AKB/Raiffeisen Transfer\n\nNur testen:\n\n* Transfer-Kandidat öffnen\n* prüfen, ob nicht als Einkommen/Ausgabe gezählt\n* Kategorie/Typ prüfen\n* wenn eindeutig: als Transfer bestätigen\n* falls unsicher: nicht buchen\n\n### E. True Wealth / Investment Transfer\n\nFalls vorhanden:\n\n* prüfen, ob als Investment Transfer erkannt\n* nicht als Konsumausgabe\n* nicht in Budgetstatus-Ausgaben zählen\n* Confirm nur wenn eindeutig\n\n### F. Kreditkartenausgleich\n\nFalls vorhanden:\n\n* prüfen, ob als credit_card_payment erkannt\n* nicht als Ausgabe zählen\n* Confirm nur wenn eindeutig\n\n### G. Einnahmen\n\nFalls vorhanden:\n\n* Lohn/Gratifikation/Rückerstattung prüfen\n* interne Transfers nicht als Einkommen\n* Confirm nur wenn eindeutig\n* erscheint unter Effektive Einnahmen\n* Monatsvergleich aktualisiert sich\n\n## 5. Nachkontrolle nach Confirm\n\nNach jeder produktiven Bestätigung prüfen:\n\n* budget_transaction erstellt\n* candidate status = confirmed\n* confirmed_transaction_id gesetzt\n* Audit vorhanden\n* Effektive Ausgaben/Einnahmen aktualisiert\n* Budgetstatus/Kategorieanalyse/Monatsvergleich\naktualisiert\n* keine Duplikate erzeugt\n* keine covered_by_migros-Buchung doppelt gebucht\n* Transfers zählen nicht als Einnahme/Ausgabe\n\nKeine echten Beträge im Bericht.\n\n## 6. Merchant/Alias Feinjustierung\n\nWährend UAT prüfen:\n\n* fehlen Merchant Aliases?\n* sind Händler falsch normalisiert?\n* werden wiederkehrende Belastungen richtig erkannt?\n* gibt es Kategorie-Dopplungen?\n* sind Regeln zu aggressiv?\n\nFalls eindeutig:\n\n* Alias/Regel anlegen oder anpassen\n* auf offene Kandidaten anwenden\n* keine produktive Buchung durch Regelanwendung\n* Audit\n\n## 7. UAT-Ergebnis dokumentieren\n\nBitte Dokument erstellen/ergänzen:\n\ndocs/uat/uat-budget-import-review-v2.md\n\nInhalt:\n\n* Datum\n* Branch\n* Runtime-Backup\n* getestete Kandidatentypen\n* Confirm-Fälle\n* Nicht-confirmed Fälle\n* Transfer-Fälle\n* Duplikatfälle\n* Merchant/Alias-Anpassungen\n* offene Probleme\n* keine echten Beträge\n\n## 8. Keine Massenbestätigung\n\nBitte ausdrücklich nicht durchführen:\n\n* kein Bulk Confirm für alle Abos\n* kein Bulk Confirm für alle Migros\n* kein Bulk Confirm für alle VISA\n* kein Bulk Confirm für alle Bankdaten\n* keine automatische Erzeugung produktiver Buchungen ohne Confirm\n\n## 9. Verifikation\n\nNach UAT:\n\n* Python compile\n* pytest oder gezielte kritische Tests\n* npm test oder gezielte Frontend-Tests\n* npm run build, falls Code geändert\n* Git-Safety\n* git diff --check\n* Browser sanity:\n\n  * Buchungen prüfen\n  * Effektive Ausgaben\n  * Effektive Einnahmen\n  * Budgetstatus\n  * Kategorieanalyse\n  * Monatsvergleich\n* Git status sauber oder Commit/Push, falls Dokument/Code geändert\n\n## 10. Abschlussbericht\n\nBitte berichten:\n\n* Runtime Backup erstellt: ja/nein\n* UAT durchgeführt: ja/nein\n* produktive Runtime verändert: ja/nein\n* Anzahl bestätigte VISA-Kandidaten\n* Anzahl bestätigte Migros-Kandidaten\n* Anzahl bestätigte Einnahmen\n* Anzahl bestätigte Transfers\n* Anzahl bestätigte Kreditkartenausgleiche\n* Anzahl bestätigte Investment Transfers\n* Anzahl nicht bestätigte unsichere Kandidaten\n* Duplikate erkannt: ja/nein\n* covered_by_migros korrekt: ja/nein\n* Effektive Ausgaben aktualisiert: ja/nein\n* Effektive Einnahmen aktualisiert: ja/nein\n* Budgetstatus aktualisiert: ja/nein\n* Merchant/Alias angepasst: ja/nein\n* UAT-Dokument erstellt: ja/nein\n* Tests\n* Git-Safety\n* Commit-Hash, falls Commit\n* Push-Status\n* offene Probleme\n\nWichtig:\nDieser Sprint ist UAT und kontrollierte Erstbestätigung, kein neuer Funktionsausbau."
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      "content": "{\"success\": true, \"name\": \"finance-system-architecture\", \"description\": \"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\", \"tags\": [\"finance\", \"portfolio\", \"accounting\", \"dashboard\", \"csv\", \"fx\", \"tax\", \"privacy\"], \"related_skills\": [], \"content\": \"---\\nname: finance-system-architecture\\ndescription: \\\"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [finance, portfolio, accounting, dashboard, csv, fx, tax, privacy]\\n---\\n\\n# Finance System Architecture\\n\\n## Important linked references\\n\\n- `references/vue-dashboard-tailscale-api-base.md` — FinanceManager Vue dashboard Tailscale restart/troubleshooting: set `VITE_API_BASE_URL` to the browser-visible Tailscale Vite origin, verify `/api/runtime/status` through Tailscale, and avoid remote-browser `127.0.0.1` confusion.\\n\\n## When to use\\n\\nUse this skill whenever the user asks about the **Finance System – Architektur & Scripts** topic or work involving the user's personal finance-management system: portfolio imports, transaction accounting, Bank/Broker/CSV processing, dashboards, reports, tax/income views, FX logic, market data jobs, alerts, or later implementation.\\n\\nDo **not** use it for pure investment-strategy discussion; those belong in the separate finance strategy topic unless the user explicitly asks for technical implementation.\\n\\n## Core principles\\n\\n1. **No automated trading.** The system may prepare orders and recommendations, but never executes orders or connects to broker trading APIs for execution.\\n2. **Accounting first, opinions later.** MVP must prioritize correct transaction ledger, cash ledger, FX handling, income/tax data, and dashboard before complex scores, news, analyst ratings, or LLM analysis.\\n3. **Rule-based first.** Calculations, scores, alerts, rebalancing and reports must be deterministic and auditable. LLMs may only summarize/explain text or assist extraction with human review.\\n4. **CHF as base currency.** Store every transaction in original currency and CHF using historical FX at transaction/payment date; current valuations use current FX.\\n5. **Financial data secrecy.** Never expose real financial values, portfolio files, raw exports, reports with real numbers, DBs, API keys, or credentials in chat, GitHub, logs, or shared docs unless the user explicitly approves scope.\\n6. **Data ownership.** All data must be exportable: CSV, JSON, Parquet, SQLite/Postgres dump, Markdown/HTML/PDF reports.\\n\\n## Current v0.3 decisions\\n\\nSee `references/spec-v0.2-decisions.md` for the baseline, `references/spec-v0.3-decisions.md` for the priority update, `references/spec-v0.4-implementation-blueprint.md` for the MVP 1 technical implementation blueprint, `references/spec-v0.4.1-corrections.md` for accepted corrections, `references/spec-v0.5-repo-blueprint.md` for the concrete repo/implementation plan, `references/mvp-safety-gate-implementation.md` for the implementation safety-gate sequence and verification commands, `references/mvp-import-pipeline-tasks-9-13.md` for the synthetic CSV import/FX/transaction pipeline pattern, `references/mvp-ledger-cash-wac-positions.md` for cash/WAC/position ledger calculation rules and tests, `references/mvp-crypto-wallet-ledger.md` for crypto wallet/assets/holdings/transfers/buy-sell/fee MVP rules, `references/crypto-xlsx-initial-snapshot-dry-run.md` for the controlled real-file XLSX crypto initial-snapshot dry-run pattern and mapping decisions, `references/crypto-xlsx-initial-snapshot-production-import.md` for productive safe-subset XLSX import operations, compatibility/partial-write recovery, and dashboard correction follow-up, `references/crypto-single-coin-runtime-test.md` for controlled one-coin productive runtime tests and the coin-vs-holding ambiguity guard, `references/multi-wallet-crypto-and-equity-manage-ui.md` for approved multi-wallet single-coin snapshots, SQLite Decimal/TEXT affinity pitfalls, and synthetic-first Equity/ETF Manage UI patterns, `references/crypto-price-refresh-and-idempotent-btc-runtime.md` for robust batch price refresh and re-run-safe BTC/single-coin runtime checks, `references/crypto-runtime-db-consistency-verification.md` for post-import runtime DB consistency checks, exact safe-set verification, dashboard no-live-API testing, and runtime-only report generation, `references/mvp-crypto-manual-management-ui.md` for audited dashboard add/correct/remove crypto holding workflows after an initial snapshot, `references/mvp-market-import-safety-hardening.md` for CoinGecko provider/backoff, CSV importer completion, alert lifecycle, Git-safety and crypto Decimal precision patterns, `references/git-safety-verification-coverage.md` for the verifier-warning workflow and minimum Git-safety test matrix, `references/mvp-streamlit-dashboard.md` for the safe local Streamlit dashboard shell/read-model/testing pattern, `references/mvp-crypto-report-export.md` for local-only crypto report context/export rules, `references/github-token-push-from-drive.md` for the safe Google-Drive-token push workflow when local FinanceManager commits are ahead of GitHub, `references/runtime-backup-and-broker-mapping.md` for runtime DB backup/restore hardening plus PostFinance/True Wealth/Raiffeisen structural mapping/dry-run rules, `references/import-wizard-mapping-layer.md` for the Phase B1 import wizard, instrument/account mapping, review queue, data-quality and read-only safety pattern, `references/broker-parser-dry-run-pipeline.md` for the Phase B2 synthetic broker parser, dry-run, runtime review-item and UI quality-flag pipeline, `references/controlled-real-broker-dry-run.md` for the Phase B3 controlled real-file dry-run pattern with backup, aggregate-only reporting, runtime-only review items, and no productive position writes, and `references/broker-review-queue-hardening.md` for Phase B4 manual review queue filters, auditable mapping actions, import-readiness gating, dry-run session management, and Data Quality Center hardening without productive portfolio writes, and `references/guided-manual-review-pilot.md` for Phase B5 small-scope runtime metadata pilots that move selected review items to `ready_for_import` without productive imports, `references/broker-import-execution-plan-mini-import.md` for Phase B6 final dry-run execution plans plus exactly-one productive broker mini-import, `references/broker-mini-import-regression-and-corrections.md` for post-mini-import regression, void/correction workflows, backup/restore checks, and one-at-a-time follow-up imports, and `references/broker-mini-import-completion-and-dq-consolidation.md` for completing the last ready True-Wealth mini-import plus active-vs-resolved Data Quality alert consolidation, `references/equity-fx-market-data-phase-c.md` for the local FX/market-data foundation after broker mini-imports and before broader Equity/ETF valuation/imports, and `references/true-wealth-valuation-pilot-c2.md` for the True-Wealth valuation pilot safeguards around hedge metadata, provider mappings, historical FX failures, timestamp alignment, corporate-action flags, and aggregate-only runtime reporting, `references/true-wealth-mapping-candidate-review-c3.md` for the controlled mapping-candidate review pattern before any productive Equity/ETF price or FX valuation, `references/instrument-catalog-manual-add-workflow.md` for the general Instrument Catalog + dashboard manual-add workflow that must underpin future Equity/ETF/Crypto adds, and `references/public-instrument-lookup-candidate-generator.md` for runtime-only public metadata lookups, candidate review packs, alert dedupe, and no-auto-selection rules, and `references/mapping-candidate-ranking-decision-pack.md` for ranking raw candidates into a manual-review decision aid, Data Quality alerts, confirmation workflow, and migration pitfalls, and `references/dashboard-user-mode-ux-and-runtime-review.md` for User/Admin dashboard navigation, crypto wallet drilldowns, audited Crypto Manage actions, and runtime-only mapping demotion patterns, and `references/dashboard-functional-ux-stabilization.md` for removing duplicate Streamlit navigation, hiding unfinished User Mode pages, enforcing Read-only/Edit Mode button behavior, and testing explicit-click price/report actions, and `references/dashboard-usability-simplification.md` for the stricter MVP User Mode reduction, calm Command Center, compact Crypto/Wallet pages, direct inline action forms, and disabled-not-fake button rule, and `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md` for adjusted real crypto XLSX completion using CoinGecko IDs plus aggregate-only True Wealth/PostFinance DOCX Equity/ETF dry-run preparation, and `references/equity-docx-instrument-resolver-review-workflow.md` for the controlled Equity/ETF DOCX staging, resolver, review queue, local-Qwen-as-parser-only, and confirmed-only initial-snapshot workflow, `references/manual-equity-etf-entry-wizard.md` for the preferred manual Equity/ETF search/add-position wizard when DOCX imports are too unsafe or not approved, and `references/manual-position-entry-provider-ux.md` for User Mode placement, explicit-click provider lookup, runtime-secret loading, caching, and final verification/push discipline, and `references/equity-etf-provider-integration-openfigi-fmp.md` for the concrete OpenFIGI-first/FMP-second integration pattern, provider merge rules, local-price preview semantics, and `update-equity-prices` workflow, `references/provider-integration-sprint-v2.md` for the multi-provider Free/Fallback pattern covering OpenFIGI/FMP/Finnhub/Twelve Data/Massive/EODHD, explicit-action dashboard semantics, sanitized status/error categories, and low-volume EODHD handling, and `references/provider-secret-auth-debugging.md` for targeted runtime-secret/provider-auth debugging when keys are present but OpenFIGI/FMP smoke tests fail, and `references/mvp-freeze-zwischenbericht-abnahme.md` for the MVP-freeze Zwischenbericht/Abnahmeplan pattern after an accepted implementation sprint, and `references/mvp-dashboard-workflow-regressions.md` for MVP dashboard regression coverage around cached FX, Cash wizard writes, explicit-click Equity/Crypto price refresh, Crypto cache-detail UX, runtime cleanup archives, and authenticated push verification, and `references/mvp-acceptance-dashboard-fx-valuation-cleanup.md` for acceptance-mode dashboard fixes covering hidden internal FX statuses, cache/provider/manual/missing FX flows, Equity/ETF valuation labels, runtime cleanup backup/audit, and final push verification, and `references/dashboard-user-mode-finalization-and-push.md` for integrated Portfolio User Mode finalization, hidden report paths, post-pytest Git-safety cleanup, Streamlit restart sanity, and authenticated push/hash verification, and `references/fastapi-vue-dashboard-transition.md` for the FastAPI read-only API + Vue User Mode transition pattern, DTO contracts, frontend Git-safety additions, and TestClient threading pitfall, `references/vue-ux-reference-sprint-pattern.md` for controlled UX-reference analysis/design-matrix/UI-system work on the read-only Vue vertical slice without copying external code/assets or expanding feature scope, and `references/vue-dashboard-autoload-runtime-operations.md` for auto-loading local FastAPI runtime DTOs, launch/browser sanity, SQLite `check_same_thread=False`, and final push verification, and `references/vue-cockpit-v11-preview-confirm-drawers.md` for the usable Vue cockpit pattern covering Preview/Confirm manual entry, detail drawers, roadmap links, stale-process browser sanity, frontend build location, changed-file secret scans, and authenticated remote-hash verification, `references/vue-cockpit-uat-preview-confirm-acceptance.md` for safe local Vue/FastAPI UAT of Cash/Equity Preview → Confirm → Audit flows, ledger-vs-compatibility writes, dry-run no-write verification, and the `JARVIS_FINANCE_DB_PATH` pytest contamination pitfall, and `references/crypto-vue-dashboard-readmodel-hardening.md` for Crypto Vue/FastAPI readmodel fixes around holdings-before-prices aggregation, compact crypto UX, sparkline empty states, wallet drilldowns, dashboard start/stop scripts, and full verification/push discipline, and `references/vue-manual-entry-v12-acceptance-completion.md` for completing Vue/FastAPI manual-entry acceptance flows including provider-search response DTOs, FX-aware previews, audited remove/account/wallet endpoints, review/test cleanup, cache/build cleanup before Git-safety, and authenticated remote-hash verification, and `references/vue-provider-preview-confirm-hardening.md` for provider-search/cross-listing dedupe, preview-as-read-only, confirm-as-write-boundary, cached CoinGecko URL sanitization, focused reviewer prompts, and post-test cleanup before Git-safety, and `references/vue-manual-position-v122-hardening.md` for v1.2.2-style manual-position provider warning normalization, candidate snapshot propagation, Equity status labels, compact Crypto layout, and remote-hash push verification. Key decisions:\\n\\n- Platform/account views: Raiffeisen, PostFinance, True Wealth, Crypto-Coins, plus Gesamtansicht.\\n- Existing Google Drive files under `Finanzen/01 Aktueller Stand Portfolios` are **initial-snapshot reality checks**, not full ledgers.\\n- MVP means the smallest useful first version: correct data foundation, ledger, CHF/FX logic, platform views, crypto inventory, watchlist, reports, workflows and audit log.\\n- Stock/ETF tax documents are downgraded: optional reference/control module and dividend/distribution transparency, not MVP 1 and not a complete tax dossier replacement.\\n- Crypto inventory is promoted to MVP 1: wallet/platform-level holdings, Crypto PDF, CoinGecko valuation, stale-price warnings and manual verification.\\n- Crypto snapshot values are stale; use quantities only and recalculate current values via CoinGecko later.\\n- MVP dashboard recommendation: Streamlit + SQLite + SQLAlchemy/Pandas/Plotly for the initial safe operations/admin shell; when moving toward a premium User Mode, use a thin FastAPI read-only API first and Vue 3 + TypeScript frontend later, following `references/fastapi-vue-dashboard-transition.md`.\\n- MVP inputs: manual dashboard entry, standard CSV import/export, later broker/bank export import. No direct broker integrations initially.\\n- Telegram crypto buys/sells/transfers should be parsed as pending transactions and only saved after explicit confirmation.\\n- Every portfolio or crypto change must create a History/Audit entry.\\n\\n## Budget-module PRD, source analysis and Phase-1 implementation\\n\\nWhen the user asks for a Budget/Cashflow module PRD based on Google Drive source material, follow `references/budget-module-prd-drive-analysis.md`: temp-only structural analysis of PRDs, XLS/XLSX budget workbooks and CSV samples; no real values in chat; no repo/raw-data commits; create both Markdown and Google Doc artifacts in Drive; verify IDs and cleanup temp files before reporting.\\n\\nWhen implementing the first Budget/Cashflow foundation in FinanceManager, follow `references/budget-phase1-manual-ledger-foundation.md`: build only the manual ledger foundation first (budget accounts/categories/tags/manual transactions/transfers/monthly overview), keep imports/rules/duplicates out of scope until separately authorized, use Preview → Confirm as the write boundary, store exact money/FX fields as Decimal text where precision matters, and run the backend/frontend/Git-safety cleanup gate before commit/push.\\n\\nWhen extending Budget/Cashflow into runtime category/tag administration, budget-plan seeds, or workbook-derived dry-run helpers, follow `references/budget-phase11-runtime-category-seed.md`: keep Preview → Confirm → Audit as the write boundary, archive/deactivate tags instead of hard-deleting, keep UI free of prominent technical IDs, handle real budget workbooks temp-only with aggregate reporting, support old `.xls` through optional `xlrd`, run frontend commands from `frontend/`, and verify with compile/full pytest/frontend tests/build/scoped Ruff/secret scan/remote-hash push.\\n\\nWhen moving workbook-derived budget seeds from dry-run into persistent review candidates and a Vue/FastAPI review workflow, follow `references/budget-phase12-excel-seed-review.md`: persist only `budget_seed_candidates` during seed, keep Confirm as the productive write boundary, expose unclean ranges for review, align persistent parser counts with the validated dry-run analyzer, verify `productive_budget_plan_mutation=false`, scan build artifacts before cleanup, then remove generated frontend/caches before Git-safety.\\n\\nFor Budget/Cashflow Phase 1.4 workviews, extend the same safety pattern: create a verified runtime DB backup before migration/seed, use schema migrations for review-only transaction candidates, never confirm CSV/Migros/VISA rows as productive transactions during seed, expose Import Review and Income Forecast as review/work views, keep row-click drawers backed by filtered API endpoints, allow category/transaction edits only through audited update endpoints, convert/reopen unclean candidates with audit, report aggregate counts only, run full backend pytest plus frontend vitest/build, remove `frontend/dist`, `.vite`, `node_modules`, `.pytest_cache`, and `__pycache__` before Git-safety, then push and verify remote hash.\\n\\nFor Budget/Cashflow source-aware import correction after Phase 1.4-style candidate floods, follow `references/budget-source-aware-import-review.md`: keep Migros CSV as the source of truth for Migros expenses, aggregate Migros article rows into receipt-level review candidates, mark overlapping credit-card Migros rows as `covered_by_migros`, keep Galaxus review-required/splittable, classify AKB/Raiffeisen income and own-account transfers without booking internal transfers as income/expense, preserve Dry run → Review → Confirm, and report only aggregate counts/statuses.\\n\\nFor Budget/Cashflow Phase 1.6-style user category rules over existing import-review candidates, follow `references/budget-phase16-user-category-rules.md`: create/extend explainable candidate metadata such as `rule_id`, `rule_name`, `classification`, `review_reason`, confidence and `covered_by_source`; re-evaluate only open scoped candidates after a verified runtime backup; keep Confirm as the only productive write boundary; expose review tabs for subscriptions, Galaxus/Digitec, Migros threshold cases, health, transport, shopping, pets, admin/unclear and covered-by-Migros; and verify aggregate-only that productive budget transaction count did not change.\\n\\nFor Budget/Cashflow Phase 1.7-style UX/workflow refactors, follow `references/budget-phase17-ux-workflow-refactor.md`: separate Import Review, Category Assignment, Effective Expenses, Category Tree, Budget Planning and Budget-vs-Actual into distinct work surfaces; replace generic read-only messaging on work pages with Review-/Arbeitsmodus; make every visible action functional or explicitly disabled; show local amounts in the UI but never in chat reports; keep candidates as candidates until Confirm; ensure category/transaction/candidate changes are audited; build category merge as Preview → Confirm; run full backend/frontend/Git-safety verification before commit/push.\\n\\nFor Budget/Cashflow Phase 1.8-style core-flow corrections, follow `references/budget-phase18-core-confirm-flow.md`: remove duplicated candidate work pages, make **Buchungen prüfen** the single central review page, require Confirm to create a real `budget_transactions` row with `source_type='import_candidate'`/`source_candidate_id`, persist `confirmed_transaction_id` on the candidate, show Effective Expenses only from confirmed expense transactions, include actual-only categories in Budgetstatus even without plan rows, archive UAT/test runtime artefacts after a backup and audit event, and check SQLite migrations for lingering `__phase*` FK references after table rebuilds.\\n\\nFor Budget/Cashflow Phase 1.9-style review-productivity work, follow `references/budget-phase19-review-productivity.md`: improve **Buchungen prüfen** with summary cards, filters, sorting, multi-select batch actions, mandatory Batch Confirm Preview, split UI, and category creation from review; add a Rule Manager MVP-light that only sets suggestions on open candidates; improve Effective Expenses/Budgetstatus/Income work pages; and preserve the explicit prohibition on productive mass-confirming real candidates without current-turn user approval.\\n\\nFor Budget/Cashflow Phase 1.10-style core-correctness cleanup, follow `references/budget-phase110-2026-core-cleanup.md`: force active Budgetjahr 2026 as the default across review/effective transactions/status/charts; archive 2025 candidates as reference and block out-of-year confirms; simplify categories into logical Einnahmen/Ausgaben buckets with canonical leaves; make bulk assignment/confirm/ignore/reopen report per-candidate errors; build Budgetstatus monthly matrix and MVP charts from confirmed 2026 transactions only; and run runtime backup + audit cleanup without real mass-confirming candidates.\\n\\nFor Budget/Cashflow productionizing of the import-review workflow with Merchant/Alias management, Rule Manager v1, duplicate handling, split booking, Toast/ConfirmDialog UX and explicit duplicate force-confirm, follow `references/budget-import-review-production-v1.md`: merchant/rule actions set candidate suggestions only, duplicate candidates require explicit `allow_duplicate`, split confirms must exact-match candidate totals, user-facing status labels must hide raw enums, and full verification must include browser-visible Tailscale routes/APIs plus source/build secret scans.\\n\\nFor Budget/Cashflow regular CSV imports from Google Drive Budget sources, follow `references/budget-csv-import-production-v2.md`: support source-specific profiles for VISA, Migros receipts, Raiffeisen and AKB; keep Drive files temp-only; create candidates via Dry Run → Review → Confirm → Audit; prove idempotency with a second import; classify Migros coverage, internal transfers, True Wealth investment transfers, credit-card settlements and income without producing automatic productive bookings.\\n\\nFor FinanceManager release consolidation after an accepted feature branch, follow `references/finance-release-consolidation-uat.md`: do branch containment/remote preflight, run full pre-merge gates, create/verify runtime backup and restore-test outside the repo, merge `--no-ff` into `main`, re-verify, tag only after main is green, create a UAT matrix, run small UAT writes on a test-runtime copy unless explicitly approved, update status docs, and verify remote main/tag hashes.\\n\\nFor Budget/Cashflow Phase 1.11-style status/Income/formatting corrections, follow `references/budget-phase111-status-income-formatting.md`: make Budgetstatus use a full-outer-join-style category result so actual-only categories appear, roll up subcategory bookings to parents without hiding child rows, show `ohne Budget` for actuals without plan, centralize Vue money/percent/quantity formatters, build the Einkünfte page on existing income budget plans, report Excel income candidates aggregate-only, and always restart/verify local plus Tailscale dashboard links after the correction round.\\n\\nFor Vue Mobile UX/iPhone/iPad readiness sprints, follow `references/vue-mobile-ux-sprint.md`: treat the sprint as responsive UX only, preserve desktop tables while adding mobile card lists and compact navigation, avoid starting import/rule/OCR/provider engines, verify route/Tailscale access, and only claim real mobile viewport emulation if tooling actually performed it.\\n\\nFor FinanceManager Vue/FastAPI functional-action sprints where read-only/detail controls must become real user actions, follow `references/vue-functional-actions-preview-confirm.md`: make every visible write button real, disabled with a reason, or routed to an existing real flow; implement backend Preview → Confirm → Audit first; handle Cash withdrawal/correction label mapping, Crypto set-zero quantity `0`, Crypto transfers with source/target/fee guards, Equity/ETF sell/dividend MVPs, contextual buy redirects, inline account/wallet creation, partial global Toast/Confirm migration honesty, and Tailscale CORS/browser sanity before commit/push.\\n\\nFor Budget/Cashflow Phase 1.11-style Migros auto-booking and monthly Budgetstatus analytics, follow `references/budget-phase111-migros-monthly-analytics.md`: Migros receipts always map to `Essen & Haushalt` regardless of the old 50 CHF threshold, article rows remain detail-only, credit-card Migros stays `covered_by_migros`, runtime confirmation requires backup/audit and aggregate-only reporting, and Budgetstatus row click/chart click should expose monthly analysis and filtered Effective Expenses links.\\n\\nFor external finance/bookkeeping app reference analyses that inform Budget/Cashflow UX, follow `references/budget-ux-reference-analysis.md`: treat the work as non-implementation, clone/inspect separately, check license, copy no code/assets, avoid runtime data, compare stack/API/data model/transaction UX/analytics, and produce a Markdown roadmap with function matrix, navigation proposal, data-model comparison, and explicit safety checklist.\\n\\nFor Budget/Cashflow UX v2 implementation sprints after an accepted external-reference analysis, follow `references/budget-ux-v2-transaction-analysis-hub.md`: commit the accepted analysis document with the sprint, use RED tests first, consolidate navigation into Budget/Transaktionen/Analyse/Setup, make **Buchungen prüfen** the only central review page, improve Effective Ausgaben/Einnahmen from confirmed transactions only, add Kategorieanalyse/Monatsvergleich/Budget-vs-Ist v1 without Heatmap/Sunburst/Explorer/import expansion, simplify category buckets, document but do not build a large Merchant Engine, and verify local plus Tailscale API routes after restart.\\n\\nFor Budget Analytics/Dashboard v2 work where Übersicht, Budgetstatus and Budget-vs-Ist have drifted into duplicate views, follow `references/budget-analytics-dashboard-v2-separation.md`: split the routes into distinct monthly cockpit, category-control, and plan-vs-reality analysis pages; create separated DTOs/viewmodels with explicit `purpose` fields; count only confirmed transactions as actuals; exclude candidates/transfers/covered-by-Migros double counting; use native SVG charts unless a clear dependency need justifies ECharts; and update legacy/mobile tests to assert content on the correct separated page rather than on the old overview catch-all.\\n\\nFor FinanceManager Vue UI-system/professionalization sprints where the user wants a brighter, more compact Budget dashboard without new finance features, follow `references/primevue-budget-ui-system.md`: prefer PrimeVue 4 + `@primeuix/themes` Aura + Chart.js, do not copy Sakai/Vuestic templates or assets, migrate Budget pages incrementally, preserve existing routes/API clients and Preview → Confirm → Audit boundaries, add PrimeVue/Vitest/jsdom setup, and verify full backend/frontend/secret/Git-safety gates before commit/push.\\n\\n## Required data model areas\\n\\nAt minimum design for:\\n\\n- `platforms`, `accounts`, `instruments`\\n- `transactions` with original currency and CHF fields\\n- `cash_ledger`\\n- derived `positions_current`\\n- `dividends_distributions`\\n- `market_prices`, `fx_rates`\\n- `watchlist_items`\\n- `alerts`\\n- `decision_journal`\\n- `reports`\\n- `data_quality_issues`\\n\\n## CSV/import rules\\n\\n- For broker/bank imports (PostFinance, True Wealth, Raiffeisen), build the safe review layer before productive imports: Import Wizard, instrument mappings, platform/account mappings, dry-run summaries, Manual Review Queue, Data Quality Center and visible read-only/write-enabled state. Follow `references/import-wizard-mapping-layer.md`. When wiring parser output into the wizard, use the synthetic-first parser/dry-run/review-item pipeline in `references/broker-parser-dry-run-pipeline.md`. After explicit approval for real-file dry-runs, follow `references/controlled-real-broker-dry-run.md`: preflight, verified runtime backup, temp-only file handling, aggregate-only reporting, runtime-only review items, and verification that productive positions/ledger rows stayed unchanged. For DOCX portfolio extracts from True Wealth/PostFinance, follow `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md`: use structural/masked parsing only, count field coverage and mapping status, treat ticker-without-exchange as review-needed, and stop before productive import. If the DOCX dry run shows low ISIN coverage/no cost basis/no transaction history or the user withholds final import approval, switch to `references/equity-docx-instrument-resolver-review-workflow.md`: create `instrument_import_candidates`-style staging, use local Qwen only as an assistive parser if available, classify ticker-only rows as `needs_manual_review`, expose a Mapping Review Queue, and import only later from `confirmed` candidates after explicit approval. If the user rejects productive DOCX import or wants direct manual control, follow `references/manual-equity-etf-entry-wizard.md`: make the main path an audited portfolio-app-style search/add-position wizard with explicit candidate selection, no live API on render, no ticker-only auto-selection, hidden technical IDs in User Mode, cost-basis/FX quality alerts, and audit-log writes. When the user asks to make real dry-run results manually editable, follow `references/broker-review-queue-hardening.md`: add filters/detail views, auditable review-metadata actions, per-item/session import-readiness status, dry-run session management, and Data Quality Center counts while keeping productive portfolio writes disabled. For a guided manual-review pilot on real runtime items, follow `references/guided-manual-review-pilot.md`: select 1–3 clear ETF/equity items (prefer True Wealth), write only audited review metadata, correct only presence booleans if needed, derive `ready_for_import` via readiness logic, and verify productive tables remain unchanged. Before the first productive broker position import, follow `references/broker-import-execution-plan-mini-import.md`: create runtime-only execution plans from the ready review items, validate exact Decimal-text payloads from the runtime source, preserve missing FX/cost-basis quality flags, then import exactly one ledger `initial_position_snapshot` after a verified backup; do not write `positions_snapshot` as the source of truth. After the first mini-import and before broader imports, follow `references/broker-mini-import-regression-and-corrections.md`: verify import links/audit/Decimal handling/re-import blocking, add or test safe void/correction flows, run backup/restore-to-test-DB regression, and only then optionally import one more ready plan. When the user approves finishing a remaining small set, follow `references/broker-mini-import-completion-and-dq-consolidation.md`: first disambiguate active vs resolved stale crypto alerts with `check-data-quality --scope crypto --resolve-fixed`, then import exactly one remaining ready execution plan after backup/verify, and consolidate Review Queue/Data Quality counts without exposing values.\\n- Do not pivot into later analytics modules while the user has asked for import/mapping hardening. Monte Carlo, backtesting, rebalancing, scores, heatmaps and projections are later phases unless explicitly re-authorized.\\n- Use a canonical CSV format before broker-specific importers.\\n- Imports must be idempotent via external transaction ID or row hash.\\n- Importers must separate dry-run and commit modes, collect validation errors explicitly, and always create an `import_sessions` record even for dry runs or failed imports.\\n- Import results should classify rows as new, existing, duplicate, or failed; do not rely on `INSERT OR IGNORE` as the only duplicate-detection mechanism.\\n- Row hashes must be stable and deterministic: normalize key order, whitespace, and `None` versus empty strings while leaving domain-specific canonicalization to the importer.\\n- If a source file has only current holdings and no full history, import it as `initial_position_snapshot` / `initial_cash_snapshot`, not fake historical buys.\\n- Missing historic FX, fees, taxes, dates, investment case, target weights, or dividend details must be flagged as data-quality gaps.\\n\\n## FX and return rules\\n\\nFor acceptance-mode dashboard fixes around manual position entry and valuation UX, follow `references/mvp-acceptance-dashboard-fx-valuation-cleanup.md`: hide internal FX status codes from User Mode, treat CHF as `not_needed`, resolve USD/EUR via cache/provider on explicit save, require a conscious manual-or-missing choice when FX cannot be resolved, and never store `ok` without a rate. For real Runtime-DB Streamlit regression sprints spanning Alerts, navigation, FX/Cash, Equity/ETF interaction, cleanup, no-live-render, browser sanity, and final push verification, also follow `references/dashboard-real-ui-acceptance-regression.md`.\\n\\nFor foreign currency assets, always distinguish:\\n\\n- price/security performance in original currency\\n- FX effect to CHF\\n- realized P&L\\n- unrealized P&L\\n- dividends/distributions/income\\n- fees and taxes\\n- Total Return in CHF\\n\\nEvery transaction/income event needs:\\n\\n- original amount and currency\\n- historical FX rate to CHF, or explicit `fx_status=missing` with a critical data-quality alert\\n- FX source and timestamp\\n- CHF equivalent at event date when FX is known\\n\\nManual FX overrides require a non-empty note and an audit-log entry.\\n\\n## Ledger calculation rules\\n\\n- Cash after system start must be calculated from `transactions`; `cash_balances` is only a snapshot/cache/control view.\\n- `initial_cash_snapshot` and `initial_position_snapshot` are explicit starting truths, not fabricated historical trades.\\n- Implement Weighted Average Cost as the MVP internal performance method: buy fees increase cost basis, partial sells remove proportional cost basis, realized P&L is calculated against average cost, full sells zero remaining quantity/cost basis, and dividends do not alter quantity or cost basis.\\n- WAC is not tax-complete; do not add FIFO/LIFO/tax-lot logic in MVP 1, but keep transaction granularity so it can be added later.\\n- Position calculations must keep zero-quantity historical positions visible when sale history exists.\\n- Missing market price or FX must degrade data quality and suppress precise Total Return CHF rather than inventing a value.\\n- Before productive dashboard use, add alert deduplication per rule/entity/date.\\n- Market-FX for non-CHF market prices belongs to the later Market/FX provider block.\\n\\n## Crypto MVP rules\\n\\n- Crypto inventory is MVP-critical but must remain dummy-first until mapper/dry-run layers are ready; do not touch real coin/wallet files during core implementation. After explicit user approval, real files may be read only from temp/runtime for controlled dry runs using `references/crypto-xlsx-initial-snapshot-dry-run.md`; report only aggregate counts/labels and never quantities or values. Productive safe-subset imports require a second explicit approval and must follow `references/crypto-xlsx-initial-snapshot-production-import.md`: external runtime DB only, no real CSV/XLSX/reports/DBs in Git, Git-safety before/after, import-session + audit-log creation, and aggregate-only reporting. When the user supplies an adjusted real crypto workbook with CoinGecko IDs for missing/previously skipped assets, follow `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md`: detect the actual structure first, validate IDs against CoinGecko metadata, import only clear missing asset/holding subsets after verified backup, preserve Decimal/Text quantities, ignore legacy CHF values, and delete temporary source files.\\n- Wallet names must be unique; wallet addresses are optional and must not appear in tests/fixtures.\\n- Validate wallet type against: Hardware Wallet, Software Wallet, Exchange, Bank/Broker, DeFi, Sonstiges.\\n- CoinGecko ID is strongly recommended but not hard-required; missing ID creates a data-quality warning and blocks reliable valuation.\\n- Crypto symbols are not globally unique; symbol conflicts require warning/manual selection, never silent merging.\\n- Initial crypto holdings are confirmed snapshots by wallet+asset. Store legacy values for provenance/control only, never current valuation.\\n- Crypto holdings should be calculated/controlled from initial snapshots plus crypto transactions, not silently overwritten.\\n- Crypto transfers require different source/target wallets, quantity > 0, and same asset; coin fees reduce source-wallet balance.\\n- Negative wallet balances should be blocked in MVP and produce a critical alert unless a future explicit correction workflow is implemented.\\n- Crypto buys/sells with fiat impact must create/reference general ledger transactions via `source_type='crypto'`/`source_id` so cash remains ledger-consistent.\\n- Fiat fees should be ledger fees when unambiguous; avoid double counting when a fee is already embedded in sell net proceeds.\\n- Unknown fee currency creates a data-quality warning instead of invented accounting.\\n- Crypto Cost Basis/WAC is not required for MVP 1; MVP 1 prioritizes crypto holdings, wallet structure, current valuation, reports and audit.\\n- Crypto report context/export must be renderer-neutral and local-only: build from SQLite, aggregate by coin and wallet, use local cached prices only, preserve Decimal/Text values, ignore legacy snapshot values for current valuation, include data-quality warnings, and write generated files only to the external runtime reports directory.\\n- Crypto PDF export should be optional-dependency tolerant: prefer PDF when a renderer is available, otherwise fall back to HTML/Markdown with a clear warning while still recording report metadata and audit.\\n- After productive real-data crypto imports, run the post-import runtime verification in `references/crypto-runtime-db-consistency-verification.md`: exact safe-set membership checks, aggregate-only counts, audit/import-session traceability, dashboard render with no live API, runtime-only report generation, and Git-safety before/after.\\n- Manual dashboard additions/corrections/removals after an initial snapshot must follow `references/mvp-crypto-manual-management-ui.md`: no silent `crypto_holdings` mutation, explicit confirmation, mandatory notes for adjustments/removals, audit-log entries with old/new values, Decimal/TEXT quantity handling, no negative holdings, and no live API lookup during render. For dashboard UX/read-model work, also follow `references/dashboard-user-mode-ux-and-runtime-review.md`: split User Mode from Admin/Review/Debug, aggregate coins across wallets, hide technical IDs in normal views, keep cached-price semantics explicit, and make Crypto Manage actions audited workflows rather than raw table edits. For Vue/FastAPI Crypto page hardening, follow `references/crypto-vue-dashboard-readmodel-hardening.md`: aggregate holdings by asset/wallet before applying the latest price, test duplicate-price-row regressions, keep crypto UI compact, hide weak sparklines behind an empty state, and make wallet rows drill into wallet detail.\\n- Crypto tax logic, tax lots, FIFO/LIFO and detailed cost basis are later modules.\\n- Keep crypto assets separate from `instruments` for MVP 1, but later evaluate a shared Asset Master if it improves reporting, performance views or watchlists.\\n\\n## Income/tax rules\\n\\nFor dividends and ETF distributions, separately store:\\n\\n- gross dividend/distribution\\n- Swiss withholding tax 35%\\n- foreign withholding tax\\n- other tax/withholding if present\\n- net amount\\n- original currency\\n- historic FX to CHF\\n- gross/net CHF equivalents\\n- platform/account\\n- ISIN/ticker\\n- payment date\\n- ex-dividend date if available\\n\\nPlan later ESTV/ICTax support for Swiss year-end values and tax reports, but label outputs as technical reports, not tax advice.\\n\\n## Market-data rules\\n\\n- Dashboard reads primarily from local DB, not directly from APIs on page load.\\n- For Equity/ETF FX and market-data hardening after broker mini-imports, follow `references/equity-fx-market-data-phase-c.md`: validate active `missing_fx` alerts by original transaction currency first, correct only CHF false positives with audit, keep foreign-currency missing-FX alerts active until local historical rates exist, use ISIN as instrument identity and provider symbols only as market-data mappings, and run market-price providers only from explicit CLI/scheduled jobs.\\n- For the True-Wealth valuation pilot, follow `references/true-wealth-valuation-pilot-c2.md`: do not import more positions, do not guess provider symbols or hedge status, extend instrument metadata for currency hedging/status/valuation policy/corporate-action state, handle historical-FX paywalls as `manual_override_required` without crashing, align price/FX timestamps before claiming valuation precision, and report only aggregate runtime counts.\\n- For True-Wealth mapping-candidate review after the valuation pilot, follow `references/true-wealth-mapping-candidate-review-c3.md`: create runtime-only provider-symbol candidates keyed by ISIN/instrument, keep name-only or ticker-without-exchange candidates review-required, mark multiple candidates `needs_manual_review`, do not auto-select final mappings on ambiguity, keep hedge/instrument status unknown until confirmed, and ensure market-price dry runs call no provider when there are zero confirmed mappings. For public metadata lookup implementation details, provider result caps, OpenFIGI/Yahoo evidence handling, alert dedupe, runtime-only review templates, and UI/test requirements, use `references/public-instrument-lookup-candidate-generator.md`. For ranking/scoring candidates, generating a runtime-only user decision pack, surfacing `candidate_review_required` and same-ISIN multiple-listing risks, and confirming/rejecting candidates with audit logs, use `references/mapping-candidate-ranking-decision-pack.md`.\\n- For the broader Instrument Catalog + manual-add workflow, follow `references/instrument-catalog-manual-add-workflow.md`: documents/import files are initial-population aids, but the dashboard must allow audited manual add of equities/ETFs and later coins via search, candidate selection, account/wallet selection, Decimal/Text quantity, date, cost-basis/snapshot info and notes. ISIN is primary for equities/ETFs but can have multiple listings; ticker/symbol alone is never unique; provider symbols are market-data mappings only; CoinGecko ID is primary for crypto provider identity. External lookups may use only non-confidential instrument metadata and must never send quantities, balances, account/wallet IDs, cost basis, private notes or source documents. If DOCX/Broker import is not approved or structurally weak, use `references/manual-equity-etf-entry-wizard.md` as the preferred user path: search on explicit click, show candidates, require conscious selection, allow warned manual creation, then review/confirm an audited initial snapshot or transaction. For the concrete Dashboard/User-Mode implementation pattern, provider order (local/OpenFIGI/FMP/Finnhub/manual), runtime `.env` secret lookup, provider-result caching, and final compile/test/Git-safety/commit/push discipline, also follow `references/manual-position-entry-provider-ux.md` and `references/equity-etf-provider-integration-openfigi-fmp.md`. For multi-provider hardening across OpenFIGI/FMP/Finnhub/Twelve Data/Massive/EODHD, follow `references/provider-integration-sprint-v2.md`: support all documented secret aliases including `TWELVEDATA_API_KEY`, keep FMP primary, use Twelve/Finnhub/Massive as fallback, keep EODHD explicit low-volume only, sanitize status/error output, and ensure dashboard status uses non-probing render mode. If provider smoke tests report missing candidates or unreachable providers despite keys being stored, first follow `references/provider-secret-auth-debugging.md`: verify runtime secret loading without printing values, classify 401/403 as `auth_failed` rather than generic reachability failure, and improve status diagnostics before adding features.\\n- First Streamlit MVP should be a safe, local, read-first shell over SQLite with explicit synthetic demo DB creation only; page render functions must not call CoinGecko/market APIs, and tests should prove that by monkeypatching provider methods to fail. When the user asks to move beyond Streamlit, do not mutate the working Streamlit UI first; add a small FastAPI read-only boundary with DTOs and tests, then build a Vue vertical slice. Follow `references/fastapi-vue-dashboard-transition.md`.\\n- Functional UX stabilization work must prioritize making the existing dashboard genuinely usable before adding more pages. Follow `references/dashboard-functional-ux-stabilization.md`: use one navigation system, move executable page modules out of Streamlit `pages/` when using a custom router, hide unfinished pages from User Mode, replace text-link/fake actions with real buttons or disabled controls, enforce session-based Edit Mode for writes, keep IDs/debug notes out of User Mode, and test price/report provider calls happen only on explicit clicks. If the user says the dashboard is still too busy or prototype-like, follow `references/dashboard-usability-simplification.md`: reduce User Mode to only currently useful pages, keep the Command Center calm, avoid misleading `CHF 0.00` Equity/ETF displays when valuation is incomplete, make Crypto the primary MVP surface, and ensure every visible button either works immediately, opens an inline form, or is disabled with a reason. For regression hardening after manual-position/provider work, also follow `references/mvp-dashboard-workflow-regressions.md`: cache-first historical FX, audited Cash wizard writes, explicit-click Equity/ETF and Crypto refreshes, no live API on render, User Mode cache-source labels without raw IDs, and manifest-based runtime cleanup.\\n- Use scheduled jobs to update prices/FX/news.\\n- Store provider, timestamp, quality status and freshness for every price/FX point.\\n- Implement caching, local historical storage, batch requests where possible, provider rate-limit queues, and backoff on HTTP 429.\\n- CoinGecko integrations must be mockable and unit-tested without real API calls; treat HTTP 429 as non-fatal and return a non-fresh data-quality status plus alert after configured retries.\\n- Crypto price refresh belongs in CLI/scheduled-job commands, not dashboard/report rendering. Prefer CoinGecko batch requests over per-coin requests; expose conservative controls (`--sleep-seconds`, `--max-retries`, `--initial-backoff`, `--max-backoff`, `--only-missing`, `--only-stale`, `--only-symbol`, `--limit`, `--dry-run`, `--currency`). Commands should use aggregate-only output (`total_assets/updated/cached/skipped/stale/warnings/errors/assets_still_missing_local_price`), cache by configurable `max_age_seconds`, store exact Decimal prices as TEXT in `crypto_prices`, and verify dashboard/report contexts read local prices with `live_api_calls=False`. For details and tests see `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- After an accepted sprint, respect an explicit MVP freeze: do not add providers or large features; write/update the sanitized repo report and acceptance checklist, verify with compile/tests/Git-safety, commit/push, and prepare the next real end-to-end runtime test. See `references/mvp-freeze-zwischenbericht-abnahme.md`.\\n- Candidate providers: Finnhub, Financial Modeling Prep, Twelve Data, Stooq, Alpha Vantage selectively, Yahoo Finance fallback only; CoinGecko for crypto; later DefiLlama; ESTV/ICTax for Swiss tax values.\\n\\n## Crypto Decimal precision rules\\n\\nSQLite has no exact native DECIMAL. In the crypto context, store quantities, prices, crypto fees and valuation-relevant amounts as exact Decimal strings (`TEXT`) and compute with Python `Decimal`. Never convert crypto quantity/price/fee/valuation through float/REAL. Format Decimal writes with `format(value, \\\"f\\\")` so small quantities such as `0.00000001` do not become scientific notation. CSV importers must validate Decimal strings, and tests should assert high-precision preservation plus SQLite text storage. For multi-wallet real-data snapshots and Equity/ETF ledger fields, also see `references/multi-wallet-crypto-and-equity-manage-ui.md`; SQLite `NUMERIC` affinity can coerce Decimal-looking text to `real`, so schema/migrations should use `TEXT` for exact quantities, FX rates, original amounts and CHF equivalents where precision matters.\\n\\n## Alert lifecycle rules\\n\\nAlerts must be deduplicated and lifecycle-aware before dashboards run repeated calculations. Use a dedup key from `rule_id`, `entity_type`, `entity_id`, `priority` and an error fingerprint. Alerts should carry `status` (`active`, `resolved`, `muted`), `resolved_at`, optional `muted_until`, `last_seen_at`, `occurrence_count`, `fingerprint` and `dedup_key`. Re-seeing an identical active/resolved/muted alert should update `last_seen_at`/`occurrence_count` rather than create a new active row; changed fingerprints may create a new alert.\\n\\n## Git/GitHub safety\\n\\nCode/scripts/docs may be stored in a private Git repo, but never commit financial data. Use the `github-repo-management` skill and its `references/sensitive-code-backup.md` guidance.\\n\\nMinimum `.gitignore` for finance repos must block `data/`, `reports/`, `exports/`, `backups/`, DB files, spreadsheets, PDFs, DOCX, raw CSV/JSON, `.env`, tokens, credentials and client secrets. Only synthetic examples under `examples/` are acceptable.\\n\\n## MVP implementation safety gate\\n\\nBefore any real broker/bank/portfolio/crypto data is imported, build and verify the safety foundation described in `references/mvp-safety-gate-implementation.md`: repo skeleton, `.gitignore`, `.env.example`, runtime outside repo, settings validation, SQLite schema, synthetic fixtures, audit log, CSV dry-run, duplicate protection, and Git-safety scan. Run the safety scan before staging, committing, or pushing. If GitHub credentials are needed from Drive, use them only in a temporary location and never echo token values.\\n\\n- Before broader productive imports, implement or verify the runtime backup loop in `references/runtime-backup-and-broker-mapping.md`: backup outside Git, SHA256 verification, restore requiring explicit confirmation, tests for backup/restore/checksum, and Git-safety coverage that blocks backup artifacts in the repo. For PostFinance/True Wealth/Raiffeisen, perform structural mapping and dry-runs only until the user approves import; report aggregate counts/field coverage/quality flags only, never real values or raw rows. If backup CLI output is too terse to evidence the backup path/checksum, call `jarvis_finance.runtime.backup.backup_runtime_db(...)` and `verify_backup(...)` directly and report only path-existence/outside-repo/checksum status, not DB contents.\\n\\n## Common pitfalls\\n\\n- Starting later analytics (Monte Carlo, backtesting, rebalancing, scoring, heatmaps, projections) while import/mapping/data-quality phases are still being hardened or while the user explicitly asked to postpone them.\\n- Letting the Budget/Cashflow foundation become a hidden import/rule-engine sprint. Phase 1 should be manual accounts/categories/tags/transactions/transfers/overview only, with Preview → Confirm writes and no VISA/Migros/Cumulus import, duplicate engine, or rule engine unless the user explicitly opens that next phase. See `references/budget-phase1-manual-ledger-foundation.md`.\\n- Treating workbook-derived Budget/Cashflow seeds as safe productive imports. Excel seed parsing may persist review candidates, but must not mutate productive budget plans until explicit Confirm. Always compare candidate counts with the validated dry-run analyzer, preserve ambiguous rows as unclean ranges, and verify aggregate-only that productive budget table counts did not change during seed. See `references/budget-phase12-excel-seed-review.md`.\\n- Letting Phase 1.5-style source-aware Budget/Cashflow import corrections remain row-granular. Migros/Cumulus article rows are detail data, not normal review candidates; aggregate them to receipts and mark previous article candidates `superseded`/archived with audit after a verified runtime backup. Credit-card Migros rows must be `covered_by_migros`, Galaxus must stay review-required/splittable, and AKB/Raiffeisen own-account transfers must be transfer candidates rather than income/expense. See `references/budget-source-aware-import-review.md`.\\n- Over-broad merchant matching in Budget user-category rules. A plain pattern such as `M ` can falsely classify unrelated merchants as Migros; use normalized explicit merchant tokens, guard special abbreviations, and exclude `Migrol` from grocery/Migros coverage when it should classify as fuel/transport. User-rule passes must update candidate metadata only, keep Galaxus/Digitec review-required/splittable, and prove no productive transactions were created. See `references/budget-phase16-user-category-rules.md`.\\n- Treating a holdings snapshot as a real transaction history.\\n- Mixing price P&L and FX P&L.\\n- Letting dashboard refreshes hammer APIs.\\n- Committing realistic sample data to Git because the repo is private. Private GitHub is not a financial data vault.\\n- Showing real portfolio values back to the user unnecessarily in summaries.\\n- Designing Git-safety scans that block source package names like `src/.../imports` or `src/.../reports`; block top-level runtime/data directories instead.\\n- In broker/bank real-file dry-runs, aggregating Data Quality flags only for `review_status='open'`. Blocked review items are still actionable data-quality issues; include `open` and `blocked` so defensive Raiffeisen aggregate-only rows remain visible.\\n- Letting manual review actions blur into productive import actions. Review-metadata writes (ISIN/ticker/exchange/account/instrument confirmations, ignore/resolve, dry-run archive/current status) may be allowed with audit logs, but they must not write `positions_snapshot`, `transactions`, `cash_balances`, ledger rows, or cash snapshots. Name-only mapping must never become `mapped`/`ready_for_import`; ticker-only without exchange remains review-needed; `aggregate_only` remains blocked for instrument import. In guided pilots, do not force `ready_for_import` by direct status edits; let readiness logic derive it after audited metadata actions, and if parser presence flags were missed, correct only boolean presence metadata with an audit event, never actual quantities/values.\\n- Skipping the execution-plan layer between ready review items and productive broker imports. A final dry-run should materialize runtime-only execution plans with source row hash, target IDs, exact Decimal-text payload summary, quality flags and planned write status. Productive mini-imports should consume exactly one planned ready payload, write exactly one ledger `initial_position_snapshot`, mark that plan/review item imported, leave the other ready plans untouched, and verify zero direct `positions_snapshot`/cash writes. After the first productive mini-import, do not proceed straight to mass import: run regression checks, implement/test void and correction audit paths, verify backup/restore to a separate test DB, and import at most one additional ready plan. When later completing the final ready plan, first resolve Data Quality alert ambiguity by counting only active alerts (`status='active'`) and treating resolved rows as history; then import exactly one plan and consolidate counts. See `references/broker-import-execution-plan-mini-import.md`, `references/broker-mini-import-regression-and-corrections.md`, and `references/broker-mini-import-completion-and-dq-consolidation.md`.\\n- Running compile/tests before Git-safety and forgetting generated `__pycache__`; remove or ignore generated caches before safety scans. `pytest` may recreate `.pytest_cache`, so remove `__pycache__`/`.pytest_cache` again after test execution and before `git-safety-scan`.\\n- Treating every active `missing_fx` alert after a broker mini-import as a bug. First aggregate by original currency: CHF rows may be false positives (`fx=1`, `not_needed`, resolve with audit), but foreign-currency rows without local historical FX should remain active and block precise CHF valuation until rates are populated.\\n- Auto-mapping Equity/ETF market prices by instrument name or ticker alone. ISIN is the instrument identity, but one ISIN can have multiple listings across exchange/currency, so even ISIN matches may need candidate selection. Provider symbols are separate market-data mappings, ticker without exchange is review-needed, and missing provider symbols should create deduplicated Data Quality alerts rather than triggering provider guesses. For mapping-candidate phases, candidate creation is allowed in the runtime DB, but final selection must remain manual/audited unless the user explicitly approves and the match is unambiguous. Public lookup endpoints can return dozens of listings; cap result sets, dedupe active mapping alerts by rule/entity, and do not treat search-fallback results as ISIN-confirmed unless the provider response supplies ISIN evidence.\\n- Designing future portfolio entry as import-file-only. Imports/documents are for initial population and existing holdings; the system must also support dashboard manual add/search workflows with audited ledger writes, explicit candidate selection, Decimal/Text quantities, required notes where history is incomplete, and no silent overwrites. If the user says DOCX/Broker files are too unsafe or not approved, stop the productive import path and pivot to the manual Equity/ETF wizard in `references/manual-equity-etf-entry-wizard.md`; keep the review queue optional/admin-only, ensure manual-entry broker accounts exist, and do not expose technical IDs in User Mode. The manual entry path must be visible in normal User Mode (e.g. `Position hinzufügen`) with Command Center routing; provider lookup must be explicit-click only, cache results locally, load provider keys from runtime secrets, and degrade missing keys to warnings. See `references/instrument-catalog-manual-add-workflow.md` and `references/manual-position-entry-provider-ux.md`.\\n- Letting an Equity/ETF market-price dry run call providers when no confirmed mappings exist. The safe outcome is `total_mappings=0`, no provider calls, and aggregate reporting only.\\n- For valuation pilots on historical broker snapshots, treating a computable current market value as a clean performance result. `snapshot_only`, `cost_basis_uncertain`, missing hedge confirmation, missing historical FX, stale price/FX timestamp alignment, or suspected corporate actions must keep valuation `partially_valuable` or suppress precise Total Return until reviewed.\\n- Inferring CHF-hedged ETF behavior from the name alone. Hedge status is methodology-critical: unknown status should create a warning/review item; confirmed CHF hedging must prevent naive free FX-PnL attribution.\\n- Crashing or blocking on historical-FX provider paywalls. Persist `manual_override_required`, create deduplicated alerts, keep the flow moving, and require a noted audited manual override instead of guessing latest FX.\\n- Productive real-data imports can partially write before surfacing schema/importer compatibility issues. Do not rerun blindly or dump row-level data; inspect aggregate counts and unique identifiers needed for idempotency, patch/complete via missing-only inserts, then verify committed import session, audit log, Git clean and Git-safety OK.\\n- In controlled one-coin runtime tests from a real XLSX, distinguish **one coin/asset** from **one holding/wallet row**. A coin may be split across multiple wallet columns; if the user required an unambiguous target wallet or one holding, stop and ask rather than choosing a wallet silently. If the user explicitly approves multi-wallet import for that coin, import exactly one asset plus one audited holding per non-empty approved wallet cell; verify aggregate counts only. If re-running a BTC/single-coin test finds the exact approved asset and holdings already present, do not import duplicates; perform the aggregate-only idempotency checks and report that asset/holding counts did not increase because duplicate prevention succeeded. See `references/crypto-single-coin-runtime-test.md`, `references/multi-wallet-crypto-and-equity-manage-ui.md`, and `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- After productive crypto imports, do a separate aggregate-only consistency pass before building new features: DB/runtime outside repo, exact safe-subset membership, no duplicate/negative/orphan holdings, correct snapshot date, null legacy-value fields when ignored, import sessions committed, holding-level audit traces present, dashboard local-read/no-live-API verified, and report generated only under runtime reports.\\n- Letting a dashboard correction UI mutate crypto holdings directly. Add/remove/edit operations must become audited transactions or `manual_adjustment` events with mandatory notes where appropriate; preserve history instead of silently overwriting balances.\\n- Letting normal dashboard pages become technical raw-table dumps. For this user's Finance dashboard, implement an Alltag/User Mode that hides internal IDs/provider internals and presents aggregate, actionable read models; keep raw identifiers, candidate details and audit/debug fields in Admin/Review/Data Quality views. See `references/dashboard-user-mode-ux-and-runtime-review.md`.\\n- Treating Streamlit/dashboard UX stabilization as a chance to build more modules. When the user complains about prototype feel or duplicated workflows, first eliminate duplicate navigation, empty User Mode pages, fake/text buttons, unclear Read-only/Edit state, and raw technical IDs. Keep unfinished pages in Admin/Debug or hide them; every visible button must work, prefill a real workflow, or be disabled with a reason. For Budget candidate workflows specifically, do not keep Import Review and Category Assignment as two pages over the same rows; centralize them as **Buchungen prüfen** and ensure Confirm really books a productive transaction before claiming acceptance. See `references/dashboard-functional-ux-stabilization.md`, `references/dashboard-usability-simplification.md`, and `references/budget-phase18-core-confirm-flow.md`.\\n- In Budget/Cashflow review-productivity/core-correctness sprints, confusing built batch tooling with permission to use it productively. Build and test batch confirm on synthetic/test DB data, but for real runtime candidates keep Batch Confirm behind Preview → explicit user Confirm and do not mass-confirm real candidates during the implementation sprint. Rule MVP and Merchant/Alias actions must set candidate suggestions only, never create `budget_transactions`; split Confirm must exact-match candidate totals and audit all created linked transactions. Duplicate candidates require an explicit `allow_duplicate`/`Trotzdem bestätigen` path with category/account/year and audit; normal Confirm must block them. User Mode must show labels like `Prüfung nötig`/`Vorgeschlagen` instead of raw enums such as `needs_review`/`auto_categorized`. When the active budget year is fixed (e.g. 2026), make every default Review/Summary/Effective/Budgetstatus/Chart query year-aware, archive old-year candidates as reference, and block out-of-year confirms. See `references/budget-phase19-review-productivity.md`, `references/budget-phase110-2026-core-cleanup.md`, and `references/budget-import-review-production-v1.md`.\\n- In Budgetstatus work, accidentally showing only categories with budget plans. The table must be Full-Outer-Join-style over active plans and confirmed active-year actuals: actual-only categories must appear with `ohne Budget`, plan-only categories must remain visible with neutral/no-actuals status, and empty categories without plan/actuals stay hidden. Subcategory postings must appear on the booked subcategory and aggregate into parent rollups; do not move transactions just to make a parent row visible. See `references/budget-phase111-status-income-formatting.md`.\\n- Letting dashboard Decimal strings leak raw into the Vue UI. Long values such as `4019.308333333333482` are unacceptable in User Mode: use central Vue formatters for money/percent/quantity, keep Decimal/TEXT storage and domain calculations intact, and update contract tests when DTO display output intentionally standardizes to `0.00`. See `references/budget-phase111-status-income-formatting.md`.\\n- Treating mobile readiness as a narrow CSS tweak or, worse, as permission to start new finance modules. For iPhone/iPad FinanceManager work, preserve desktop tables but add mobile card lists, compact navigation, touch-friendly drawers/buttons, and route/Tailscale sanity; do not start VISA/Migros/OCR/rule/duplicate/provider engines, and do not claim viewport emulation unless browser tooling actually did it. See `references/vue-mobile-ux-sprint.md`.\\n- Building a parallel model for Budget Einkünfte when existing budget plans are enough. Income MVP should use `budget_plan_items` with income categories, add/archive with audit, derive monthly/yearly values from cadence, list Excel income candidates aggregate-only, and keep Review/Confirm as the productive write boundary. See `references/budget-phase111-status-income-formatting.md`.\\n- Letting an accepted sprint half-finished because the next feature is tempting. If cleanup, final tests, Git-safety, commit, and push are still missing, finish those in order before starting new work. Remove `.pytest_cache`/`__pycache__` before and after tests, then run Git-safety, `git diff --check`, verify clean status, commit, push, and fetch/update `origin/main` to prove sync. If normal `origin` verification is unauthenticated but a FinanceManager runtime GitHub token is available, verify the remote hash through a temporary authenticated URL and unset it immediately; do not set token-bearing remotes or print the token. See `references/dashboard-usability-simplification.md` and `references/dashboard-user-mode-finalization-and-push.md`.\\n- Breaking an explicit MVP freeze by adding more providers/features after the user accepted the sprint. In freeze mode, produce the sanitized Zwischenbericht/Abnahmeplan, separate implemented vs not-finished vs risks, include concrete user acceptance checklists, and run the same verification/push discipline as code changes. See `references/mvp-freeze-zwischenbericht-abnahme.md`.\\n- During Budget/Cashflow runtime cleanup or UAT, allowing test/seed rows to leak into User Mode is a correctness bug. Create a runtime backup first, report dry-run counts only, archive/deactivate UAT artefacts with audit, then verify user-facing APIs/pages return zero matching visible objects. If you create temporary runtime UAT rows to prove Confirm/category/ignore flows, archive them immediately after verification. See `references/budget-phase18-core-confirm-flow.md`.\\n- Rebuilding SQLite tables with `ALTER TABLE ... RENAME TO ...` without checking dependent foreign keys. SQLite can rewrite dependent table references to the temporary table name, causing later inserts to fail with `no such table: main.<temp_table>`. After migrations that rebuild budget transactions/candidates, inspect `sqlite_master` for `__phase` references and regression-test dependent inserts into tags/transfers/line-items/splits. See `references/budget-phase18-core-confirm-flow.md`.\\n- Running Git-safety immediately after pytest without cleaning generated caches. Pytest can recreate `.pytest_cache`; remove `.pytest_cache` and `__pycache__` after the final test run, then run Git-safety before staging/commit/push.\\n- In MVP acceptance mode, exposing raw internal workflow states (`ok`, `missing`, `manual_override_required`, `not_needed`) to User Mode is a bug, not documentation. Convert them into plain choices such as automatic FX, manual FX, or save incomplete; keep the stored internal status deterministic and audited.\\n- Treating absent CoinGecko/Crypto detailcache code as something to invent during an acceptance bugfix sprint. If the codebase has no implementation, report it as an explicit open gap unless the user authorizes a new feature mini-sprint.\\n- Relying on the user's prose description of a spreadsheet layout instead of detecting the actual workbook structure. In adjusted crypto XLSX files, CoinGecko IDs may appear as an `API ID` column in the same row rather than a preceding row; use the detected structure, validate IDs, and report the difference aggregate-only.\\n- Treating formula/scientific-notation source cells as automatic import blockers. Count them, but block only when exact Decimal/Text conversion fails; never use float arithmetic for crypto quantities.\\n- Printing raw DOCX/table rows while analyzing real broker files. Use masked structural flags and aggregate counts only; real position names/values/quantities stay out of chat/log summaries.\\n- Counting ticker-like tokens from DOCX as confirmed Equity/ETF mappings. Without ISIN plus exchange/provider confirmation, mappings are `probable` or `needs_manual_review`, not productive-import ready.\\n- Treating low-confidence Equity/ETF DOCX extraction as enough for import. If most positions lack ISIN, cost basis or transaction history, build/operate a staging resolver and Mapping Review Queue first. Ticker-only rows stay `needs_manual_review`; local Qwen may help extract candidates but must not decide mappings or write ledger rows. See `references/equity-docx-instrument-resolver-review-workflow.md`.\\n- Treating verifier/file-mutation warnings as either automatically true or automatically false. Check the exact commit with `git show --name-status --patch <commit> -- <file>`, then separately verify whether the test matrix actually covers the promised cases.\\n- Treating provider lookup smoke-test failures as simple `not reachable` / `no candidates` when runtime keys exist. Follow `references/provider-secret-auth-debugging.md`: confirm the runtime secret file is loaded without printing values, verify OpenFIGI uses `X-OPENFIGI-APIKEY` header and FMP uses `apikey`, split network reachability from provider auth, and classify HTTP 401/403 as `auth_failed`, 429 as `rate_limited`, empty 2xx as `no_results`, and DNS/timeout as `network_error`. Do not start a new feature block until the secret/auth diagnosis is resolved.\\n- Letting multi-provider market-data integration become implicit dashboard behavior or an API-call spray. Follow `references/provider-integration-sprint-v2.md`: normal dashboard render must use local DB/non-probing status only; provider calls require explicit click/CLI/schedule; FMP remains primary for search/price preview; Twelve Data/Finnhub/Massive are fallbacks; EODHD is never default and requires explicit low-volume opt-in; provider statuses and errors must be sanitized categories, not raw responses or secret-bearing URLs.\\n- Adding a browser frontend without expanding Git-safety and secret boundaries. For FinanceManager Vue/FastAPI work, block `frontend/dist`, `frontend/node_modules`, `.vite`, and `.env.*` except `.env.example`; provider keys stay backend/runtime-only and must not appear in `VITE_*` variables. FastAPI tests that inject an in-memory SQLite connection through `TestClient` need `check_same_thread=False`, otherwise SQLite may fail in the worker thread.\\n- Implementing Vue auto-load as hidden provider refresh. Auto-load is allowed only for local FastAPI/runtime DTOs; render must not call CoinGecko/OpenFIGI/FMP/Finnhub/Yahoo/etc. Add visible local-data status, explicit refresh semantics, and browser performance checks for zero external provider resources. For launch/browser sanity/process hygiene, follow `references/vue-dashboard-autoload-runtime-operations.md`.\\n- Claiming the Vue/FastAPI dashboard was restarted before proving the browser-visible Tailscale path works. For remote/iPhone use, localhost checks are insufficient: kill stale listeners, restart backend/frontend, verify `ss` listener bind addresses, verify `/api/runtime/status` through `http://<tailscale-host>:5173`, and confirm the delivered Vite client has `VITE_API_BASE_URL=http://<tailscale-host>:5173`. See `references/vue-dashboard-tailscale-api-base.md`.\\n- In Budget UX v2-style transaction/analysis sprints, letting an accepted reference analysis remain uncommitted or letting the sprint drift into Heatmap/Sunburst/Explorer/import-wizard work. Commit the accepted Markdown analysis with the feature, keep scope to navigation, confirmed transaction lists, calm review UX, category/month/budget-vs-actual analysis, and category bucket/merge-preview work. For Tailscale/iPhone, do not start Vite with `VITE_API_BASE_URL=http://127.0.0.1:8000`; use the browser-visible Tailscale Vite origin so `/api` proxy calls work remotely. See `references/budget-ux-v2-transaction-analysis-hub.md`.\\n- Treating `npm install` as part of the normal Vue dashboard restart. If `frontend/node_modules` exists, start Vite directly with the correct environment; reserve install for dependency changes or missing modules.\\n- Joining crypto holdings directly to historical/current price rows in detail or wallet readmodels. Multiple price rows per asset can duplicate wallet allocations and inflate values. Aggregate holdings by asset/wallet first, fetch the latest price once per asset, then value the aggregate; regression-test one asset split across wallets plus multiple price rows. See `references/crypto-vue-dashboard-readmodel-hardening.md`.\\n- Shipping a Vue/FastAPI cockpit update after tests pass but before real browser/API sanity from the current checkout. Stale uvicorn/node processes can mask route changes; if OpenAPI or click behavior looks stale, check/kill the process bound to the port and restart from the working tree. Verify `/positions/add`, `/equity` row-click drawers, `/openapi.json` endpoint registration, frontend tests/build from `frontend/`, changed-file/build-artifact secret scans, commit, push, and remote hash equality. See `references/vue-cockpit-v11-preview-confirm-drawers.md`.\\n- During Vue/FastAPI UAT, letting `JARVIS_FINANCE_DB_PATH` leak from the UAT server environment into pytest can make unit tests hit the UAT DB instead of their temporary runtime; unset it before full pytest unless the test explicitly requires a fixed DB path. For manual Cash and Equity/ETF Preview → Confirm flows, verify both persisted domain state and audit rows; Cash may currently need a bridge write to both ledger `transactions` and `cash_balances` compatibility/control rows. For the v1.2 completion pass, use `references/vue-manual-entry-v12-acceptance-completion.md`: update frontend mocks when moving from bare `searchInstruments` to provider-search DTOs, archive review/test accounts even when they have no remaining equity transactions, remove `.pytest_cache` and `frontend/dist` after tests/build before Git-safety, and verify authenticated push by remote-hash equality without printing or storing the token. For provider-search/preview-confirm hardening, use `references/vue-provider-preview-confirm-hardening.md`: Preview must not materialize provider/catalog instruments, Confirm is the write boundary, provider dedupe must preserve ISIN cross-listings by exchange/currency, cached CoinGecko URLs must be sanitized before DTO/DOM use, and independent re-review should focus on these exact failure modes. See `references/vue-cockpit-uat-preview-confirm-acceptance.md`.\\n- In FinanceManager Vue UI-system sprints, confusing design-system adoption with a template migration or feature sprint. Do not copy full Sakai/Vuestic templates or assets, do not expand Budget/import logic, and do not replace routes/API clients wholesale. Prefer incremental PrimeVue/Aura page refactors with visible user semantics around charts/tables, Vitest PrimeVue/jsdom setup, and full compile/test/build/secret/Git-safety verification. See `references/primevue-budget-ui-system.md`.\\n- Treating external Vue/finance-dashboard references as a license-free component source or as authorization for a new feature sprint. When the user provides reference apps, first produce a reference analysis, design matrix, small UI design system, layout sketch, and component hierarchy; then apply only controlled read-only UX improvements. 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      "content": "{\"output\": \"/home/agent/.hermes/hermes-agent\\n## main...origin/main\\nmain\\nv2026.5.16-1-gf3a4af9cf\\nLISTEN 0      2048                    127.0.0.1:8000       0.0.0.0:*    users:((\\\"uvicorn\\\",pid=565419,fd=6))\\nLISTEN 0      511                       0.0.0.0:5173       0.0.0.0:*    users:((\\\"node\\\",pid=565433,fd=21))\", \"exit_code\": 0, \"error\": null}\n\n[Subdirectory context discovered: .hermes/hermes-agent/AGENTS.md]\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants and developers working on the hermes-agent codebase.\n\n## Development Environment\n\n```bash\n# Prefer .venv; fall back to venv if that's what your checkout has.\nsource .venv/bin/activate   # or: source venv/bin/activate\n```\n\n`scripts/run_tests.sh` probes `.venv` first, then `venv`, then\n`$HOME/.hermes/hermes-agent/venv` (for worktrees that share a venv with the\nmain checkout).\n\n## Project Structure\n\nFile counts shift constantly — don't treat the tree below as exhaustive.\nThe canonical source is the filesystem. The notes call out the load-bearing\nentry points you'll actually edit.\n\n```\nhermes-agent/\n├── run_agent.py          # AIAgent class — core conversation loop (~12k LOC)\n├── model_tools.py        # Tool orchestration, discover_builtin_tools(), handle_function_call()\n├── toolsets.py           # Toolset definitions, _HERMES_CORE_TOOLS list\n├── cli.py                # HermesCLI class — interactive CLI orchestrator (~11k LOC)\n├── hermes_state.py       # SessionDB — SQLite session store (FTS5 search)\n├── hermes_constants.py   # get_hermes_home(), display_hermes_home() — profile-aware paths\n├── hermes_logging.py     # setup_logging() — agent.log / errors.log / gateway.log (profile-aware)\n├── batch_runner.py       # Parallel batch processing\n├── agent/                # Agent internals (provider adapters, memory, caching, compression, etc.)\n├── hermes_cli/           # CLI subcommands, setup wizard, plugins loader, skin engine\n├── tools/                # Tool implementations — auto-discovered via tools/registry.py\n│   └── environments/     # Terminal backends (local, docker, ssh, modal, daytona, singularity)\n├── gateway/              # Messaging gateway — run.py + session.py + platforms/\n│   ├── platforms/        # Adapter per platform (telegram, discord, slack, whatsapp,\n│   │                     #   homeassistant, signal, matrix, mattermost, email, sms,\n│   │                     #   dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,\n│   │                     #   yuanbao, webhook, api_server, ...). See ADDING_A_PLATFORM.md.\n│   └── builtin_hooks/    # Extension point for always-registered gateway hooks (none shipped)\n├── plugins/              # Plugin system (see \"Plugins\" section below)\n│   ├── memory/           # Memory-provider plugins (honcho, mem0, supermemory, ...)\n│   ├── context_engine/   # Context-engine plugins\n│   ├── model-providers/  # Inference backend plugins (openrouter, anthropic, gmi, ...)\n│   ├── kanban/           # Multi-agent board dispatcher + worker plugin\n│   ├── hermes-achievements/  # Gamified achievement tracking\n│   ├── observability/    # Metrics / traces / logs plugin\n│   ├── image_gen/        # Image-generation providers\n│   └── <others>/         # disk-cleanup, example-dashboard, google_meet, platforms,\n│                         #   spotify, strike-freedom-cockpit, ...\n├── optional-skills/      # Heavier/niche skills shipped but NOT active by default\n├── skills/               # Built-in skills bundled with the repo\n├── ui-tui/               # Ink (React) terminal UI — `hermes --tui`\n│   └── src/              # entry.tsx, app.tsx, gatewayClient.ts + app/components/hooks/lib\n├── tui_gateway/          # Python JSON-RPC backend for the TUI\n├── acp_adapter/          # ACP server (VS Code / Zed / JetBrains integration)\n├── cron/                 # Scheduler — jobs.py, scheduler.py\n├── scripts/              # run_tests.sh, release.py, auxiliary scripts\n├── website/              # Docusaurus docs site\n└── tests/                # Pytest suite (~17k tests across ~900 files as of May 2026)\n```\n\n**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys only).\n**Logs:** `~/.hermes/logs/` — `agent.log` (INFO+), `errors.log` (WARNING+),\n`gateway.log` when running the gateway. Profile-aware via `get_hermes_home()`.\nBrowse with `hermes logs [--follow] [--level ...] [--session ...]`.\n\n## File Dependency Chain\n\n```\ntools/registry.py  (no deps — imported by all tool files)\n       ↑\ntools/*.py  (each calls registry.register() at import time)\n       ↑\nmodel_tools.py  (imports tools/registry + triggers tool discovery)\n       ↑\nrun_agent.py, cli.py, batch_runner.py, environments/\n```\n\n---\n\n## AIAgent Class (run_agent.py)\n\nThe real `AIAgent.__init__` takes ~60 parameters (credentials, routing, callbacks,\nsession context, budget, credential pool, etc.). The signature below is the\nminimum subset you'll usually touch — read `run_agent.py` for the full list.\n\n```python\nclass AIAgent:\n    def __init__(self,\n        base_url: str = None,\n        api_key: str = None,\n        provider: str = None,\n        api_mode: str = None,              # \"chat_completions\" | \"codex_responses\" | ...\n        model: str = \"\",                   # empty → resolved from config/provider later\n        max_iterations: int = 90,          # tool-calling iterations (shared with subagents)\n        enabled_toolsets: list = None,\n        disabled_toolsets: list = None,\n        quiet_mode: bool = False,\n        save_trajectories: bool = False,\n        platform: str = None,              # \"cli\", \"telegram\", etc.\n        session_id: str = None,\n        skip_context_files: bool = False,\n        skip_memory: bool = False,\n        credential_pool=None,\n        # ... plus callbacks, thread/user/chat IDs, iteration_budget, fallback_model,\n        # checkpoints config, prefill_messages, service_tier, reasoning_config, etc.\n    ): ...\n\n    def chat(self, message: str) -> str:\n        \"\"\"Simple interface — returns final response string.\"\"\"\n\n    def run_conversation(self, user_message: str, system_message: str = None,\n                         conversation_history: list = None, task_id: str = None) -> dict:\n        \"\"\"Full interface — returns dict with final_response + messages.\"\"\"\n```\n\n### Agent Loop\n\nThe core loop is inside `run_conversation()` — entirely synchronous, with\ninterrupt checks, budget tracking, and a one-turn grace call:\n\n```python\nwhile (api_call_count < self.max_iterations and self.iteration_budget.remaining > 0) \\\n        or self._budget_grace_call:\n    if self._interrupt_requested: break\n    response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)\n    if response.tool_calls:\n        for tool_call in response.tool_calls:\n            result = handle_function_call(tool_call.name, tool_call.args, task_id)\n            messages.append(tool_result_message(result))\n        api_call_count += 1\n    else:\n        return response.content\n```\n\nMessages follow OpenAI format: `{\"role\": \"system/user/assistant/tool\", ...}`.\nReasoning content is stored in `assistant_msg[\"reasoning\"]`.\n\n---\n\n## CLI Architecture (cli.py)\n\n- **Rich** for banner/panels, **prompt_toolkit** for input with autocomplete\n- **KawaiiSpinner** (`agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results\n- `load_cli_config()` in cli.py merges hardcoded defaults + user config YAML\n- **Skin engine** (`hermes_cli/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text\n- `process_command()` is a method on `HermesCLI` — dispatches on canonical command name resolved via `resolve_command()` from the central registry\n- Skill slash commands: `agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching\n\n### Slash Command Registry (`hermes_cli/commands.py`)\n\nAll slash commands are defined in a central `COMMAND_REGISTRY` list of `CommandDef` objects. Every downstream consumer derives from this registry automatically:\n\n- **CLI** — `process_command()` resolves aliases via `resolve_command()`, dispatches on canonical name\n- **Gateway** — `GATEWAY_KNOWN_COMMANDS` frozenset for hook emission, `resolve_command()` for dispatch\n- **Gateway help** — `gateway_help_lines()` generat\n\n[...truncated AGENTS.md: 50,982 chars total]",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import re\\n     4|from dataclasses import dataclass\\n     5|from pathlib import Path\\n     6|\\n     7|FORBIDDEN_SUFFIXES = {\\\".db\\\", \\\".sqlite\\\", \\\".sqlite3\\\", \\\".dump\\\", \\\".parquet\\\", \\\".xlsx\\\", \\\".xls\\\", \\\".pdf\\\", \\\".docx\\\", \\\".key\\\", \\\".pem\\\", \\\".p12\\\", \\\".pfx\\\"}\\n     8|FORBIDDEN_NAMES = {\\\".env\\\", \\\".env.local\\\", \\\"credentials.json\\\", \\\"token.json\\\"}\\n     9|FORBIDDEN_NAME_PATTERNS = [re.compile(r\\\"github[_-]?token\\\", re.I), re.compile(r\\\".*secret.*\\\", re.I), re.compile(r\\\".*credential.*\\\", re.I)]\\n    10|FORBIDDEN_TOP_LEVEL_DIRS = {\\\"data\\\", \\\"imports\\\", \\\"exports\\\", \\\"reports\\\", \\\"backups\\\", \\\"secrets\\\", \\\"logs\\\", \\\"local_runtime\\\", \\\"runtime\\\", \\\"db\\\", \\\"databases\\\"}\\n    11|FORBIDDEN_RUNTIME_PARTS = {\\\".pytest_cache\\\", \\\".mypy_cache\\\", \\\".ruff_cache\\\", \\\"node_modules\\\", \\\".vite\\\", \\\"dist\\\"}\\n    12|SECRET_PATTERNS = [\\n    13|    (\\\"github_pat\\\", re.compile(r\\\"github_pat_[A-Za-z0-9_]{20,}\\\")),\\n    14|    (\\\"github_ghp\\\", re.compile(r\\\"gh[pousr]_[A-Za-z0-9_]{20,}\\\")),\\n    15|    (\\\"private_key\\\", re.compile(r\\\"-----BEGIN (?:RSA |OPENSSH |EC |DSA )?PRIVATE KEY-----\\\")),\\n    16|    (\\\"aws_access_key\\\", re.compile(r\\\"AKIA[0-9A-Z]{16}\\\")),\\n    17|    (\\\"api_key_assignment\\\", re.compile(r\\\"(?i)(api[_-]?key|token|secret)\\\\s*=\\\\s*['\\\\\\\"]?[A-Za-z0-9_\\\\-]{20,}\\\")),\\n    18|    (\\\"gog_password\\\", re.compile(r\\\"GOG_KEYRING_PASSWORD\\\\s*=\\\")),\\n    19|]\\n    20|ALLOW_PREFIXES = (\\\"examples/synthetic/\\\", \\\"tests/fixtures/\\\", \\\"config.example/\\\")\\n    21|ALLOW_SECRET_MARKER_PATHS = {\\n    22|    \\\"src/jarvis_finance/quality/git_safety.py\\\",\\n    23|    \\\"tests/unit/test_git_safety.py\\\",\\n    24|    \\\"tests/integration/test_dummy_data_load.py\\\",\\n    25|}\\n    26|\\n    27|@dataclass(frozen=True)\\n    28|class SafetyFinding:\\n    29|    path: str\\n    30|    reason: str\\n    31|\\n    32|def _rel(path: Path, root: Path) -> str:\\n    33|    return path.relative_to(root).as_posix()\\n    34|\\n    35|def is_allowed_exception(rel: str) -> bool:\\n    36|    return rel.startswith(ALLOW_PREFIXES) or rel in {\\\"frontend/package.json\\\", \\\"frontend/package-lock.json\\\", \\\"frontend/tsconfig.json\\\"}\\n    37|\\n    38|def scan_path(root: str | Path) -> list[SafetyFinding]:\\n    39|    root = Path(root).resolve(); findings: list[SafetyFinding] = []\\n    40|    for path in root.rglob(\\\"*\\\"):\\n    41|        if \\\".git\\\" in path.parts or path.is_dir() or \\\"__pycache__\\\" in path.parts:\\n    42|            continue\\n    43|        rel = _rel(path, root); rel_parts = Path(rel).parts\\n    44|        if any(part in FORBIDDEN_RUNTIME_PARTS for part in rel_parts):\\n    45|            findings.append(SafetyFinding(rel, \\\"runtime_cache_file_blocked\\\")); continue\\n    46|        if rel_parts and rel_parts[0] in FORBIDDEN_TOP_LEVEL_DIRS and not is_allowed_exception(rel):\\n    47|            findings.append(SafetyFinding(rel, \\\"runtime_or_real_data_directory_blocked\\\"))\\n    48|        lower_name = path.name.lower()\\n    49|        if lower_name in FORBIDDEN_NAMES or (lower_name.startswith(\\\".env.\\\") and lower_name != \\\".env.example\\\"):\\n    50|            findings.append(SafetyFinding(rel, \\\"forbidden_secret_filename\\\"))\\n    51|        if any(p.search(path.name) for p in FORBIDDEN_NAME_PATTERNS):\\n    52|            findings.append(SafetyFinding(rel, \\\"forbidden_secret_like_filename\\\"))\\n    53|        if path.suffix.lower() in {\\\".csv\\\", \\\".json\\\"} and not is_allowed_exception(rel):\\n    54|            findings.append(SafetyFinding(rel, \\\"csv_json_only_allowed_in_examples_synthetic_or_tests_fixtures\\\"))\\n    55|        if path.suffix.lower() in FORBIDDEN_SUFFIXES and not is_allowed_exception(rel):\\n    56|            findings.append(SafetyFinding(rel, f\\\"forbidden_file_type:{path.suffix.lower()}\\\"))\\n    57|        if rel in ALLOW_SECRET_MARKER_PATHS:\\n    58|            continue\\n    59|        try:\\n    60|            text = path.read_text(encoding=\\\"utf-8\\\", errors=\\\"ignore\\\")\\n    61|        except OSError:\\n    62|            continue\\n    63|        for label, pattern in SECRET_PATTERNS:\\n    64|            if pattern.search(text):\\n    65|                findings.append(SafetyFinding(rel, f\\\"secret_pattern:{label}\\\"))\\n    66|    return findings\\n    67|\\n    68|def assert_safe(root: str | Path) -> None:\\n    69|    findings = scan_path(root)\\n    70|    if findings:\\n    71|        details = \\\"\\\\n\\\".join(f\\\"{f.path}: {f.reason}\\\" for f in findings)\\n    72|        raise ValueError(f\\\"Git safety scan failed:\\\\n{details}\\\")\\n    73|\", \"total_lines\": 72, \"file_size\": 3800, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_bv3HXYEAa4HZHX3BtwtjuSR8"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Running database checks**\n\nI'm thinking about running a scan and maybe a schema check to see if there are any migrations needed. The user version might be 0, and I'm not sure about the schema yet. I need to find the version table and get the candidate counts. Using Python directly could help here, and I’ll need to inspect the columns and APIs for confirmation. Reading the service documentation will also be important.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Running database checks**\n\nI'm thinking about running a scan and maybe a schema check to see if there are any migrations needed. The user version might be 0, and I'm not sure about the schema yet. I need to find the version table and get the candidate counts. Using Python directly could help here, and I’ll need to inspect the columns and APIs for confirmation. Reading the service documentation will also be important.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtnBUvmf48nluiKdSk2-clobqTVrOP4BJMuXNeIQgF7udYo-vNWRHrOUfZ_AxhBCHsSk-GmoTZlu4nBhpkTPu-LsiVVShqQWib65RXblvtW62X95el_rpPyQMOsrGNADac9AN1ko8SIWCCWtgjBAQjP-TK5vTbqh08JfVP5SRzwtIK-Ji4lxPt5ggcDQVxHTQllQ8Vx8DIzXbxTE6R2hzo5lKWCkEEJswDmnmoPz7uHqj1c5d4d3gAYjCDXIHwtGF4FaDtn6Llx83zB3244ftQxdrfB3vcWbcClsdG7Yt5b1NiZxv--x7JWvdaOtlnTNIq9cvwcE2V90FT8WO7ai5hZCKmMWP_oIoENcJ1raIf909aCbWwy7yHEQQay9AAYdfRIU3L5iKdm_Y99ePyOoQdxaffb3l-TeyApFj6Q_yzAAO_tTu7jt-Toy2RkTDz8aPWiJY5et1lqGrvO4xF-CVDMbYaG78IKraSpU3PTrRepKUj5kNetdLbJDGUELinYctRKHbURKFazxH5YX58h6ZkwxxaHMqfmhO4shX_-Kp_Yjr28zToPZ4sSIAfFO9v4zRapp33m90jG_RY5GlJrhawTC-z7AQikb-GYClmvPITVv8QNv_F-FFVTM3F3MPDMUULnz3yMJkeOxHHgtPufDetroWf_dGj4gCv2VfVE4S1mP3RfLyBk-OwFGgkBctxuJD0LzUpMACeM3MkaQL_BL5L0Sq15b0xJWU-jKkFglMvPdzceeT0cUy0rbC0fWNVIVD1QOtbrzF3AXoRG-z6r890mT55hb8VktGxIZsGf8sXv1qVQF6egYCgUJ7ElRl86iOJ_Gdavjj1kgarCWEaIH0YzENns7Jqvxr-CYBgJvBzdXcc4_5b7wenXOY83vED1vfobuKLmGKAPRleJ7Kg6lww-1tlTQxvcvSEI0kj0c0aUB25d1Qy3L8vLxLuOddoBsXgD7VDrAOGBJbP2EDKQGU2aQEVKo4FDmsHme73J80GpIn0ue4QcyOLq8mQ6YeCmbfv43Oe5B0Axu7HN32hjRSkkQ7xz6a-DmpAcc-BqW3qvEokZB-xmNkT8mWRN2_ReW4Ne6pnWQP8UnI8y3yR861tP6yKk8UBY5nhfyw5Tnt-kpmBs9xtf9_vAXCE6eJU_yyKH1sRIKbTb9sTw-3WyB6FtTpC1Qr4Q7wJaigK5zRSh7mzE=",
          "id": "rs_09aa95dd40d653f4016a0ad9be97148191b838da7b1188a96f",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Running database checks**\n\nI'm thinking about running a scan and maybe a schema check to see if there are any migrations needed. The user version might be 0, and I'm not sure about the schema yet. I need to find the version table and get the candidate counts. Using Python directly could help here, and I’ll need to inspect the columns and APIs for confirmation. Reading the service documentation will also be important."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_Okx4PMT4qoWMqyhbMr1uLUGd",
          "call_id": "call_Okx4PMT4qoWMqyhbMr1uLUGd",
          "response_item_id": "fc_09aa95dd40d653f4016a0ad9c133d88191a3da6a71ecabe6f8",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=\\\"\\\"\\\"\\nset -e\\npython - <<'PY'\\nfrom jarvis_finance.quality.git_safety import scan_path\\nfindings=scan_path('.')\\nprint({'git_safety_findings': len(findings)})\\nif findings:\\n  for f in findings[:20]: print(f)\\nPY\\npython - <<'PY'\\nimport sqlite3, json, os\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\nprint(json.dumps({'runtime_db_reachable': True, 'schema_user_version': cur.execute('pragma user_version').fetchone()[0]}))\\nfor table in ['schema_migrations','budget_transaction_candidates','budget_transactions','audit_log']:\\n  try:\\n    c=cur.execute(f'select count(*) as c from {table}').fetchone()['c']\\n    print(json.dumps({'table':table,'count':c}))\\n  except Exception as e:\\n    print(json.dumps({'table':table,'error':str(e)}))\\n# columns\\ncols=[r['name'] for r in cur.execute('pragma table_info(budget_transaction_candidates)')]\\nprint(json.dumps({'candidate_columns':cols}))\\ncon.close()\\nPY\\n\\\"\\\"\\\"\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{'git_safety_findings': 0}\\n{\\\"runtime_db_reachable\\\": true, \\\"schema_user_version\\\": 0}\\n{\\\"table\\\": \\\"schema_migrations\\\", \\\"count\\\": 23}\\n{\\\"table\\\": \\\"budget_transaction_candidates\\\", \\\"count\\\": 13274}\\n{\\\"table\\\": \\\"budget_transactions\\\", \\\"count\\\": 73}\\n{\\\"table\\\": \\\"audit_log\\\", \\\"count\\\": 2281}\\n{\\\"candidate_columns\\\": [\\\"transaction_candidate_id\\\", \\\"source_file_label\\\", \\\"source_row_or_range\\\", \\\"source_type\\\", \\\"transaction_date\\\", \\\"description\\\", \\\"merchant\\\", \\\"amount_original\\\", \\\"currency_original\\\", \\\"proposed_category_id\\\", \\\"proposed_category_name\\\", \\\"duplicate_of_transaction_id\\\", \\\"confidence\\\", \\\"requires_review\\\", \\\"status\\\", \\\"notes\\\", \\\"created_at\\\", \\\"updated_at\\\", \\\"classification\\\", \\\"review_reason\\\", \\\"rule_id\\\", \\\"rule_name\\\", \\\"source_priority\\\", \\\"covered_by_source\\\", \\\"receipt_key\\\", \\\"linked_candidate_id\\\", \\\"account_source\\\", \\\"raw_fingerprint\\\", \\\"confirmed_transaction_id\\\", \\\"confirmed_at\\\", \\\"confirmed_by\\\", \\\"merchant_id\\\", \\\"merchant_display_name\\\", \\\"status_label\\\"]}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.44}",
      "tool_call_id": "call_Okx4PMT4qoWMqyhbMr1uLUGd"
    },
    {
      "role": "assistant",
      "content": "Git-Safety ist sauber, Runtime-DB erreichbar, Kandidaten vorhanden. Ich erstelle jetzt das verpflichtende Runtime-Backup außerhalb des Repos und verifiziere die Checksum.",
      "reasoning": "**Reviewing backup process**\n\nI realize I need to ensure the preflight is complete before moving forward. It seems like a good idea to focus on backup now. I’m thinking about using the runtime.backup module, but I want to make sure I’m reading the commands correctly and that I understand how to implement them. I might have to double-check if there are additional steps involved in the backup process to be thorough.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Reviewing backup process**\n\nI realize I need to ensure the preflight is complete before moving forward. It seems like a good idea to focus on backup now. I’m thinking about using the runtime.backup module, but I want to make sure I’m reading the commands correctly and that I understand how to implement them. I might have to double-check if there are additional steps involved in the backup process to be thorough.",
      "codex_reasoning_items": [
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          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtnLUvxJ3BPTaE0ayS0_ui-8ey_ZQbvMKAfttJDY_1SvWrFM5qfAR1WqLSydcJZUA6_QLMcL9bywWYAEA7EJVJMNhP3HpQ7TKjhGKrZ_OyHHnhthlMJhkieafG-noyX6WPskQz84U9vJzHSZmpmTeOOPB4UpEHNnd5h6smwd9hemckIWUUP6UEx8bJ4NNB1JENA7tTNdrnlX0eIw92AmwNkEL42ZF70PRld1H0gHXZYUwGt4VO8OAcI75Ho6NsXvqvLFSA-LIJ7KYXEsX_ItwOZIYpvvRZygdPynVRTefzzrEFIUhETbt4Iukmmg2Hx0c814Wju_Nz5hCBY2d0z1TkZJKsqoY5RDb1XCQY46AOcLY21xUxr4bJtl2K2ye41Fow0UUI7nuokIx1CC0VE7U8K6F0HOP0HezddIpoAibeJmUesvjINsYTjHa3vNQI1EkgloiiQ0jEFB8mROqath6sgAPiBJLu9jJTW37yldeLHI8vuoiaMtyUcAOFdUeSvCIsw6C-PhomP6PdHe03K8cvABhfPAn7xgnVvs44clGq665K0JKxPUAN0plL0jtcUr8wwUBolQpKhmJ11qA0ifXy23arZDQ9POZQaz3Dx7XcHvoFziCFP-Jwl7SLUEqAq5N2HNFlCK-YeIbouNVLKF5bKOnLW_tux7qnDAXre94A_u7pLnZk0UyF-WvS5QnbW33e19QZTrSnBCr5FZ7kKgxsVCSKo2Nx4ecD8bclEpEXo2wcvci8LRrXmrcVsI61s2dWW6vqAdRvToumWsSpr6HpW4U0lcvS-LGyjZLmUXtby3-TMVqJ0P7gznw8xyLMDza8l5Kel6NE6QcAS0-u6xad4bGy_3s-O5DF24Cl8rAy-0BGMijpDOzRw4SOUAbCTc8rMU_PnXd3jDuhYI7u8ylRTa-1iS6l3n4NVG-uz9dit00FxWy_LGpCEXQZ1uq5XIIVOf2oHpOGDmbKVhi2V9ukiqYUoTbrfZlipxukxachtYDp8EKsFyBj29t_jJIylYMe_JGQXPpvGSMnPLPCA_Iy3jgg==",
          "id": "rs_09aa95dd40d653f4016a0ad9c89adc8191a0575a0b6da8587c",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Reviewing backup process**\n\nI realize I need to ensure the preflight is complete before moving forward. It seems like a good idea to focus on backup now. I’m thinking about using the runtime.backup module, but I want to make sure I’m reading the commands correctly and that I understand how to implement them. I might have to double-check if there are additional steps involved in the backup process to be thorough."
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Git-Safety ist sauber, Runtime-DB erreichbar, Kandidaten vorhanden. Ich erstelle jetzt das verpflichtende Runtime-Backup außerhalb des Repos und verifiziere die Checksum."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0ad9cb049081918d96ef25a0f741d4",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_LA0wZPZJJjmdiVKgGKRIJJff",
          "call_id": "call_LA0wZPZJJjmdiVKgGKRIJJff",
          "response_item_id": "fc_09aa95dd40d653f4016a0ad9cb292c81918e722c359d0501d2",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":300,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/backup.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import hashlib\\n     4|import shutil\\n     5|from dataclasses import dataclass\\n     6|from datetime import datetime, timezone\\n     7|from pathlib import Path\\n     8|\\n     9|from jarvis_finance.config.paths import is_relative_to\\n    10|\\n    11|\\n    12|@dataclass(frozen=True)\\n    13|class BackupResult:\\n    14|    backup_file: Path\\n    15|    checksum_file: Path\\n    16|    sha256: str\\n    17|    size_bytes: int\\n    18|\\n    19|\\n    20|@dataclass(frozen=True)\\n    21|class VerifyBackupResult:\\n    22|    backup_file: Path\\n    23|    checksum_file: Path\\n    24|    sha256: str\\n    25|    checksum_ok: bool\\n    26|    exists: bool\\n    27|\\n    28|\\n    29|@dataclass(frozen=True)\\n    30|class RestoreResult:\\n    31|    restored_to: Path\\n    32|    source_file: Path\\n    33|    verified: bool\\n    34|\\n    35|\\n    36|def sha256_file(path: Path) -> str:\\n    37|    digest = hashlib.sha256()\\n    38|    with path.open(\\\"rb\\\") as handle:\\n    39|        for chunk in iter(lambda: handle.read(1024 * 1024), b\\\"\\\"):\\n    40|            digest.update(chunk)\\n    41|    return digest.hexdigest()\\n    42|\\n    43|\\n    44|def write_checksum_file(backup_file: Path, sha256: str) -> Path:\\n    45|    checksum_file = backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\")\\n    46|    checksum_file.write_text(f\\\"{sha256}  {backup_file.name}\\\\n\\\", encoding=\\\"utf-8\\\")\\n    47|    return checksum_file\\n    48|\\n    49|\\n    50|def read_expected_checksum(checksum_file: Path) -> str | None:\\n    51|    if not checksum_file.exists():\\n    52|        return None\\n    53|    text = checksum_file.read_text(encoding=\\\"utf-8\\\", errors=\\\"ignore\\\").strip()\\n    54|    if not text:\\n    55|        return None\\n    56|    return text.split()[0]\\n    57|\\n    58|\\n    59|def ensure_outside_repo(path: Path, repo_root: Path) -> None:\\n    60|    if is_relative_to(path.resolve(), repo_root.resolve()):\\n    61|        raise ValueError(f\\\"Backup/restore path must be outside the Git repository: {path}\\\")\\n    62|\\n    63|\\n    64|def backup_runtime_db(*, db_path: Path, backups_dir: Path, repo_root: Path, timestamp: str | None = None) -> BackupResult:\\n    65|    db_path = db_path.expanduser().resolve()\\n    66|    backups_dir = backups_dir.expanduser().resolve()\\n    67|    ensure_outside_repo(backups_dir, repo_root)\\n    68|    ensure_outside_repo(db_path, repo_root)\\n    69|    if not db_path.exists():\\n    70|        raise FileNotFoundError(f\\\"Runtime DB not found: {db_path}\\\")\\n    71|    backups_dir.mkdir(parents=True, exist_ok=True)\\n    72|    stamp = timestamp or datetime.now(timezone.utc).strftime(\\\"%Y%m%dT%H%M%SZ\\\")\\n    73|    backup_file = backups_dir / f\\\"finance-runtime-db-{stamp}.sqlite3\\\"\\n    74|    shutil.copy2(db_path, backup_file)\\n    75|    checksum = sha256_file(backup_file)\\n    76|    checksum_file = write_checksum_file(backup_file, checksum)\\n    77|    return BackupResult(\\n    78|        backup_file=backup_file,\\n    79|        checksum_file=checksum_file,\\n    80|        sha256=checksum,\\n    81|        size_bytes=backup_file.stat().st_size,\\n    82|    )\\n    83|\\n    84|\\n    85|def verify_backup(*, backup_file: Path, repo_root: Path | None = None) -> VerifyBackupResult:\\n    86|    backup_file = backup_file.expanduser().resolve()\\n    87|    if repo_root is not None:\\n    88|        ensure_outside_repo(backup_file, repo_root)\\n    89|    exists = backup_file.exists() and backup_file.is_file()\\n    90|    if not exists:\\n    91|        return VerifyBackupResult(\\n    92|            backup_file=backup_file,\\n    93|            checksum_file=backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\"),\\n    94|            sha256=\\\"\\\",\\n    95|            checksum_ok=False,\\n    96|            exists=False,\\n    97|        )\\n    98|    actual = sha256_file(backup_file)\\n    99|    checksum_file = backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\")\\n   100|    expected = read_expected_checksum(checksum_file)\\n   101|    return VerifyBackupResult(\\n   102|        backup_file=backup_file,\\n   103|        checksum_file=checksum_file,\\n   104|        sha256=actual,\\n   105|        checksum_ok=bool(expected and expected == actual),\\n   106|        exists=True,\\n   107|    )\\n   108|\\n   109|\\n   110|def restore_runtime_db(*, backup_file: Path, db_path: Path, repo_root: Path, yes: bool = False) -> RestoreResult:\\n   111|    if not yes:\\n   112|        raise PermissionError(\\\"Restore requires explicit confirmation via --yes\\\")\\n   113|    backup_file = backup_file.expanduser().resolve()\\n   114|    db_path = db_path.expanduser().resolve()\\n   115|    ensure_outside_repo(backup_file, repo_root)\\n   116|    ensure_outside_repo(db_path, repo_root)\\n   117|    verification = verify_backup(backup_file=backup_file, repo_root=repo_root)\\n   118|    if not verification.exists:\\n   119|        raise FileNotFoundError(f\\\"Backup file not found: {backup_file}\\\")\\n   120|    if not verification.checksum_ok:\\n   121|        raise ValueError(f\\\"Backup checksum verification failed: {backup_file}\\\")\\n   122|    db_path.parent.mkdir(parents=True, exist_ok=True)\\n   123|    shutil.copy2(backup_file, db_path)\\n   124|    return RestoreResult(restored_to=db_path, source_file=backup_file, verified=True)\\n   125|\", \"total_lines\": 124, \"file_size\": 4315, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_LA0wZPZJJjmdiVKgGKRIJJff"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_FHscANCNqBezRiFL8BXQxEPp",
          "call_id": "call_FHscANCNqBezRiFL8BXQxEPp",
          "response_item_id": "fc_09aa95dd40d653f4016a0ad9ce54588191af3c4b161e087009",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nfrom pathlib import Path\\nfrom datetime import datetime, timezone\\nfrom jarvis_finance.runtime.backup import backup_runtime_db, verify_backup\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ndb=Path('/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3')\\nbackups=Path('/home/agent/jarvis_runtime/finance-system/backups')\\nstamp='budget-import-review-uat-v2-'+datetime.now(timezone.utc).strftime('%Y%m%dT%H%M%SZ')\\nr=backup_runtime_db(db_path=db, backups_dir=backups, repo_root=repo, timestamp=stamp)\\nv=verify_backup(backup_file=r.backup_file, repo_root=repo)\\nprint({'backup_file': str(r.backup_file), 'checksum_file': str(r.checksum_file), 'exists': v.exists, 'checksum_ok': v.checksum_ok, 'outside_repo': not str(r.backup_file).startswith(str(repo)), 'size_bytes': r.size_bytes})\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{'backup_file': '/home/agent/jarvis_runtime/finance-system/backups/finance-runtime-db-budget-import-review-uat-v2-20260518T092019Z.sqlite3', 'checksum_file': '/home/agent/jarvis_runtime/finance-system/backups/finance-runtime-db-budget-import-review-uat-v2-20260518T092019Z.sqlite3.sha256', 'exists': True, 'checksum_ok': True, 'outside_repo': True, 'size_bytes': 16814080}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_FHscANCNqBezRiFL8BXQxEPp"
    },
    {
      "role": "assistant",
      "content": "Backup ist erstellt und verifiziert. Jetzt aggregiere ich Kandidaten nach Quelle/Status/Klassifikation — ohne Beträge und ohne Einzelrows im Chat.",
      "reasoning": "**Aggregating candidate data**\n\nI need to aggregate candidate data and find their statuses and classifications. I’ll use SQL counts, focusing on counts rather than values. It’s also important to check if the proposed_category_id is not null and that those requiring review are distinguished. I should make sure to distinguish the sources and can output counts after that. Additionally, I need to select the UAT set and inspect the API and services to confirm it. I'll read through budget_transactions and budget_imports too.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Aggregating candidate data**\n\nI need to aggregate candidate data and find their statuses and classifications. I’ll use SQL counts, focusing on counts rather than values. It’s also important to check if the proposed_category_id is not null and that those requiring review are distinguished. I should make sure to distinguish the sources and can output counts after that. Additionally, I need to select the UAT set and inspect the API and services to confirm it. I'll read through budget_transactions and budget_imports too.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtndZcNatLphb432Sb4uoJFee4kmU73ixNVZoV9sH5UmaLdphfodRgpog98lR7EDnhJKKo9mzkgFWF0YhIkvJRxOdBLNH8Qvgh10LYpofZnUSxJ7XB33xCm0VSxS2oLNFP-Wej_8BxD7fLYeFb1dm-3A82XrSMp6ecjRZ8630Sf2vbA2l2kK25LyDgRB3kzFkHSNytZfYHe8yYQCZpodY7q-DYl0xarMaMM8_9L1BDGxOU_yNTOnubq-uRVD90yE_w0u29C4RTd0ACeF5WBRaQHCChmRHjKnbjjIJyTL8getemHE6-DXwajBlFUxDFQIQ0KGf5xhYl0wN-Qd_wuua86z27rsQ6-WiL8tDTIcuWJGzCmjGLS8Mt9VIHD_WrS2toRGIgD2xVNxpVK7JFTZMO8PeguNhmhJUcJ8bxn9BNEGxU6HGf0aT0DtqnxbcVa1AxyWYRtdidZPENSSmJm5XRYFtdPfLdftMu7Qr9H7VHObxrD6_r2UTJnkO87B-ZR-zCSpZyofGxd1IenDemTw_PPK2Hdzvz7IPAJcd5G9FUMvo_ZQmk2UQ_uruBkGZP3FMeTIEIXHFKI9R3-TnIdVehec1eKkTmsXtOHWlLCfhzYqucQKG8FNRNeQwcBbjI-KcCFah7yNL-_CNHXwMuNG2IATpOeeJXINUevCVt9ltrjVJZQ5AIDkjUlR5Og-r6GeW9_KzylO1VFXhntkzMVO3avZA5jjZHKv3l7MRtvVrf7qB-r27dvz9rVv3ayM6u0Kmh-FYeeh6GbYGzmE5T5JPiHpRDEMTjg8TtXb2Y5x5qGFcsXGUrFAe4id4g2QOwB1XARnLsWybOIAHhtIllOKgeIy3uKuM4fOYbkhGZc_Xr6DV2E-P4-OQE1NXqIuuy73jAEqVQpZqv0pwQZnXB4hXavfkbHZVD8ZxCGDqm2GIQnROSm5jkMEKQPGkEoZw9KUs4KOy_owo3Mk2DOUnse_ZAyDaP7IuW_5d5tSNrxpItMjAusnEp2nfJPuE1rSTMEiHWbEaFXA6EyfnWjk-Q5mkugMjM1esQMqBZno0zxhutM_A2Q9_45-chV5nfm3dBEvZvEyGsPTCAXqUrmp0WBDVvbJWdWpqgDiPmC4wvSPZH-KSxpkdQcoiDNg52QvuKG3e0DkjTMKMGFs7Cpbn_prRqXtbtT_GrNnl1Ee36BhyZ6qDtatGQ6-GRX-EDyS1bnqNb0UKdQ3pFrZ9S0Co0FY5z2U6-obpj96vpPxzCo_K8BetTxGy3nNH9evuzsKkDZ_uUmHxe7uduJC0h5NBgJJqB30Rnd6aC2r9u1kvB6Vy7uQ_J-JQ96nf33wWy3ajIx7dMr0pQzAZFVZPCmumOSnroEsPVlEWMHr1jFVu7aKJMUHQpU=",
          "id": "rs_09aa95dd40d653f4016a0ad9d9a85081919d8c95214a20eb44",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Aggregating candidate data**\n\nI need to aggregate candidate data and find their statuses and classifications. I’ll use SQL counts, focusing on counts rather than values. It’s also important to check if the proposed_category_id is not null and that those requiring review are distinguished. I should make sure to distinguish the sources and can output counts after that. Additionally, I need to select the UAT set and inspect the API and services to confirm it. I'll read through budget_transactions and budget_imports too."
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Backup ist erstellt und verifiziert. Jetzt aggregiere ich Kandidaten nach Quelle/Status/Klassifikation — ohne Beträge und ohne Einzelrows im Chat."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0ad9ddb0388191906bf2fd8aed02c2",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_OM41gSzDrDiLUSGltDnUwhFE",
          "call_id": "call_OM41gSzDrDiLUSGltDnUwhFE",
          "response_item_id": "fc_09aa95dd40d653f4016a0ad9ddfdf88191ac9c2cd457319222",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3, json\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\ndef one(q, params=()): return cur.execute(q, params).fetchone()[0]\\ndef rows(q, params=()): return [dict(r) for r in cur.execute(q, params)]\\nsummary={}\\nsummary['total_candidates']=one('select count(*) from budget_transaction_candidates')\\nsummary['by_source']=rows(\\\"select source_type, count(*) count from budget_transaction_candidates group by source_type order by source_type\\\")\\nsummary['by_status']=rows(\\\"select coalesce(status,'') status, count(*) count from budget_transaction_candidates group by status order by count desc\\\")\\nsummary['by_classification']=rows(\\\"select coalesce(classification,'') classification, count(*) count from budget_transaction_candidates group by classification order by count desc\\\")\\nsummary['auto_categorized']=one(\\\"select count(*) from budget_transaction_candidates where proposed_category_id is not null or status='auto_categorized'\\\")\\nsummary['review_needed']=one(\\\"select count(*) from budget_transaction_candidates where requires_review=1 or status in ('needs_review','duplicate_candidate','transfer_candidate')\\\")\\nsummary['transfers']=one(\\\"select count(*) from budget_transaction_candidates where classification='transfer' or status='transfer_candidate'\\\")\\nsummary['investment_transfers']=one(\\\"select count(*) from budget_transaction_candidates where classification='investment_transfer'\\\")\\nsummary['credit_card_payment']=one(\\\"select count(*) from budget_transaction_candidates where classification='credit_card_payment'\\\")\\nsummary['covered_by_migros']=one(\\\"select count(*) from budget_transaction_candidates where classification='covered_by_migros' or covered_by_source='migros_receipts'\\\")\\nsummary['duplicate_candidates']=one(\\\"select count(*) from budget_transaction_candidates where duplicate_of_transaction_id is not null or status like '%duplicate%'\\\")\\nsummary['income_candidates']=one(\\\"select count(*) from budget_transaction_candidates where classification='income'\\\")\\nsummary['unclear_candidates']=one(\\\"select count(*) from budget_transaction_candidates where (classification is null or classification='' or classification='expense') and (requires_review=1 or status='needs_review')\\\")\\nsummary['confirmed_by_source']=rows(\\\"select source_type, count(*) count from budget_transaction_candidates where status='confirmed' group by source_type order by source_type\\\")\\nsummary['candidate_minmax_by_source']=rows(\\\"select source_type, min(transaction_date) min_date, max(transaction_date) max_date, count(*) count from budget_transaction_candidates group by source_type order by source_type\\\")\\nprint(json.dumps(summary, ensure_ascii=False, indent=2))\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{\\n  \\\"total_candidates\\\": 13274,\\n  \\\"by_source\\\": [\\n    {\\n      \\\"source_type\\\": \\\"akb_bank\\\",\\n      \\\"count\\\": 332\\n    },\\n    {\\n      \\\"source_type\\\": \\\"credit_card_csv\\\",\\n      \\\"count\\\": 1376\\n    },\\n    {\\n      \\\"source_type\\\": \\\"csv_seed\\\",\\n      \\\"count\\\": 9640\\n    },\\n    {\\n      \\\"source_type\\\": \\\"excel_budget_tool\\\",\\n      \\\"count\\\": 175\\n    },\\n    {\\n      \\\"source_type\\\": \\\"migros_receipt\\\",\\n      \\\"count\\\": 279\\n    },\\n    {\\n      \\\"source_type\\\": \\\"migros_receipts\\\",\\n      \\\"count\\\": 49\\n    },\\n    {\\n      \\\"source_type\\\": \\\"raiffeisen_bank\\\",\\n      \\\"count\\\": 47\\n    },\\n    {\\n      \\\"source_type\\\": \\\"visa_credit_card\\\",\\n      \\\"count\\\": 1376\\n    }\\n  ],\\n  \\\"by_status\\\": [\\n    {\\n      \\\"status\\\": \\\"superseded\\\",\\n      \\\"count\\\": 8328\\n    },\\n    {\\n      \\\"status\\\": \\\"needs_review\\\",\\n      \\\"count\\\": 2583\\n    },\\n    {\\n      \\\"status\\\": \\\"reference_2025\\\",\\n      \\\"count\\\": 1351\\n    },\\n    {\\n      \\\"status\\\": \\\"covered_by_migros\\\",\\n      \\\"count\\\": 410\\n    },\\n    {\\n      \\\"status\\\": \\\"pending\\\",\\n      \\\"count\\\": 297\\n    },\\n    {\\n      \\\"status\\\": \\\"auto_categorized\\\",\\n      \\\"count\\\": 125\\n    },\\n    {\\n      \\\"status\\\": \\\"confirmed\\\",\\n      \\\"count\\\": 68\\n    },\\n    {\\n      \\\"status\\\": \\\"transfer_candidate\\\",\\n      \\\"count\\\": 61\\n    },\\n    {\\n      \\\"status\\\": \\\"duplicate_candidate\\\",\\n      \\\"count\\\": 49\\n    },\\n    {\\n      \\\"status\\\": \\\"ignored\\\",\\n      \\\"count\\\": 2\\n    }\\n  ],\\n  \\\"by_classification\\\": [\\n    {\\n      \\\"classification\\\": \\\"\\\",\\n      \\\"count\\\": 9813\\n    },\\n    {\\n      \\\"classification\\\": \\\"card_uncategorized\\\",\\n      \\\"count\\\": 1694\\n    },\\n    {\\n      \\\"classification\\\": \\\"covered_by_migros\\\",\\n      \\\"count\\\": 540\\n    },\\n    {\\n      \\\"classification\\\": \\\"bank_review\\\",\\n      \\\"count\\\": 318\\n    },\\n    {\\n      \\\"classification\\\": \\\"galaxus_review\\\",\\n      \\\"count\\\": 238\\n    },\\n    {\\n      \\\"classification\\\": \\\"migros_review_over_threshold\\\",\\n      \\\"count\\\": 182\\n    },\\n    {\\n      \\\"classification\\\": \\\"subscription_auto\\\",\\n      \\\"count\\\": 179\\n    },\\n    {\\n      \\\"classification\\\": \\\"migros_receipt_food_household\\\",\\n      \\\"count\\\": 96\\n    },\\n    {\\n      \\\"classification\\\": \\\"transfer_candidate\\\",\\n      \\\"count\\\": 61\\n    },\\n    {\\n      \\\"classification\\\": \\\"migros_auto_under_threshold\\\",\\n      \\\"count\\\": 50\\n    },\\n    {\\n      \\\"classification\\\": \\\"food_household\\\",\\n      \\\"count\\\": 33\\n    },\\n    {\\n      \\\"classification\\\": \\\"unclear\\\",\\n      \\\"count\\\": 29\\n    },\\n    {\\n      \\\"classification\\\": \\\"auto_transport\\\",\\n      \\\"count\\\": 13\\n    },\\n    {\\n      \\\"classification\\\": \\\"home_garden\\\",\\n      \\\"count\\\": 13\\n    },\\n    {\\n      \\\"classification\\\": \\\"health_medical\\\",\\n      \\\"count\\\": 8\\n    },\\n    {\\n      \\\"classification\\\": \\\"shopping\\\",\\n      \\\"count\\\": 3\\n    },\\n    {\\n      \\\"classification\\\": \\\"legacy_csv_seed\\\",\\n      \\\"count\\\": 2\\n    },\\n    {\\n      \\\"classification\\\": \\\"admin_other\\\",\\n      \\\"count\\\": 1\\n    },\\n    {\\n      \\\"classification\\\": \\\"pets\\\",\\n      \\\"count\\\": 1\\n    }\\n  ],\\n  \\\"auto_categorized\\\": 9208,\\n  \\\"review_needed\\\": 2695,\\n  \\\"transfers\\\": 61,\\n  \\\"investment_transfers\\\": 0,\\n  \\\"credit_card_payment\\\": 0,\\n  \\\"covered_by_migros\\\": 540,\\n  \\\"duplicate_candidates\\\": 49,\\n  \\\"income_candidates\\\": 0,\\n  \\\"unclear_candidates\\\": 592,\\n  \\\"confirmed_by_source\\\": [\\n    {\\n      \\\"source_type\\\": \\\"migros_receipt\\\",\\n      \\\"count\\\": 68\\n    }\\n  ],\\n  \\\"candidate_minmax_by_source\\\": [\\n    {\\n      \\\"source_type\\\": \\\"akb_bank\\\",\\n      \\\"min_date\\\": \\\"2025-05-26\\\",\\n      \\\"max_date\\\": \\\"2026-05-18\\\",\\n      \\\"count\\\": 332\\n    },\\n    {\\n      \\\"source_type\\\": \\\"credit_card_csv\\\",\\n      \\\"min_date\\\": \\\"2024-04-11\\\",\\n      \\\"max_date\\\": \\\"2026-05-12\\\",\\n      \\\"count\\\": 1376\\n    },\\n    {\\n      \\\"source_type\\\": \\\"csv_seed\\\",\\n      \\\"min_date\\\": \\\"2024-01-03\\\",\\n      \\\"max_date\\\": \\\"2026-05-13\\\",\\n      \\\"count\\\": 9640\\n    },\\n    {\\n      \\\"source_type\\\": \\\"excel_budget_tool\\\",\\n      \\\"min_date\\\": \\\"10413.2824\\\",\\n      \\\"max_date\\\": \\\"4166.66666\\\",\\n      \\\"count\\\": 175\\n    },\\n    {\\n      \\\"source_type\\\": \\\"migros_receipt\\\",\\n      \\\"min_date\\\": \\\"2024-01-03\\\",\\n      \\\"max_date\\\": \\\"2026-05-13\\\",\\n      \\\"count\\\": 279\\n    },\\n    {\\n      \\\"source_type\\\": \\\"migros_receipts\\\",\\n      \\\"min_date\\\": \\\"2026-01-02\\\",\\n      \\\"max_date\\\": \\\"2026-05-13\\\",\\n      \\\"count\\\": 49\\n    },\\n    {\\n      \\\"source_type\\\": \\\"raiffeisen_bank\\\",\\n      \\\"min_date\\\": \\\"2026-01-05\\\",\\n      \\\"max_date\\\": \\\"2026-05-15\\\",\\n      \\\"count\\\": 47\\n    },\\n    {\\n      \\\"source_type\\\": \\\"visa_credit_card\\\",\\n      \\\"min_date\\\": \\\"2024-04-11\\\",\\n      \\\"max_date\\\": \\\"2026-05-12\\\",\\n      \\\"count\\\": 1376\\n    }\\n  ]\\n}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_OM41gSzDrDiLUSGltDnUwhFE"
    },
    {
      "role": "assistant",
      "content": "Kandidatenübersicht liegt aggregiert vor. Auffällig: es gibt Legacy-/superseded-Altquellen neben den v2-Quellen; UAT beschränke ich auf `visa_credit_card`, `migros_receipts`, `raiffeisen_bank`, `akb_bank`. Ich lese jetzt Confirm-/Preview-Endpunkte und wähle intern maximal die sicheren Stichproben aus.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtnxJaED5Xnp2fHC-xZZyL9_l2Y1OLmmwXgRJrMkqHznRpr5D4Fl4_na7q3jvI_L_1CZ1BVJLWZ6btrVclvm7fid4njAkGok6FkRYqrcbmS3jljwy1zgxxW9vbwfswu0ROTF9l_Zf8cnPghdJD9Sp9U9wZxWPXRDZwc0XnTzec0Cz37NrZx0TeGoyrdFlyjb24nz0lgITdSjgI3bpLWg8tJxJYCaZhDrV0EceMWQXTzzlBoc5G7VmmPtw53kWtvbqJ0E9j5mGCOfuGEo90KzB_wW14oZwMRsbS3vY1UJHeGw0ioGlF2hFJphLuWigRZoGm0d7gRu7_HfH-vJUzoss4opl4IrxGsq0UYQoUjIEi24Of_RKfmd-jBqQCxM1pWMHQ1LtsGvdptT2HMHdTCt0Np2QN-qdfqd_v9x9r6G69YaqUzYd1p16Em8Qn1AMcwD7K2Ou5tZQ4Ze3AYLiwGYK1Onmift6cj_mIMm_w1UYetPApHwHxKBB87p9uZtIYMEoLrgJGHC7XI6-h3IyqMb4c80ozBHJVdVtwlI4CcDOWeAvyixBNzQDpCHq-PAydqvXfaazaQfXo0BS_459gEKsAeikHQkuDHkF3U5rohNO-JCM5dqyDNiOlhB9yUd0WQitcf310vXxbPrPt9C4VFAyoEcfKfjD_WXif7_okbCOvnYAtrbq_GIV5Wex3mkIEbq2LsmqULE9fxJYA-4K-uNKiFoE9fUOIz4ljV9usrYJf0tF6Rdw40mRv20q7Ag5G4yj4nQhgEB5dgmlvpfz8vOD4D4mGx9Dnwf-Cotp_znjCBw4ThB2aYdLGyFDNN9WKuPSKEiqtOpARGsQlMXayaip3nLL6jhI8luVwx7C6J-J72OwGLax1Cijgd65FAHoTRzpRviSgG7CAIelxh5UUvg9vM8FfEm-muQbzGtLsvqKIhaeMiisZftecRF5w-X7Y6Qzn8437kopcD7QfauYuI1YGAies43VbpVjxBiV00wKZS31iRyQT-gizUOfT9L5-FPxZdz1A2nxiWGO0JXFcTHQeaGSce6uSLbR_Rx409qqHouDouCkfCE_pEdoxgYyf39dbKAuptR1oPfq7Iu0flkB4iR6c4GAWcYKrV6B5mQXLhPBuz0y67d9C7BHfWNDUZfSuU4p1dLcNFiY-KlWriA0ZH5GhMRhjB77OlXQ790n2lYvf8P7Kp_8ZUHdMhuuRlqObyefqYupbQWjB9txI0N1DAAIzPY_ZCQLx5c9Wt23KsSflwVZ9Njjusm8gYH4x7jgLocWmLNP_V87IRqDwk1JJSA8Rf_NjMTQpQzvPBVJsvJ-JFELX5PJ_6OgCiqhJ7NE_1C",
          "id": "rs_09aa95dd40d653f4016a0ad9ee096c8191b7b1d2e1ea648d83",
          "summary": []
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      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Kandidatenübersicht liegt aggregiert vor. Auffällig: es gibt Legacy-/superseded-Altquellen neben den v2-Quellen; UAT beschränke ich auf `visa_credit_card`, `migros_receipts`, `raiffeisen_bank`, `akb_bank`. Ich lese jetzt Confirm-/Preview-Endpunkte und wähle intern maximal die sicheren Stichproben aus."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0ad9f10de881919981a8a692326893",
          "phase": "commentary"
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      ],
      "tool_calls": [
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          "call_id": "call_JrCh4IrkqP8xaq5YjuvDy34v",
          "response_item_id": "fc_09aa95dd40d653f4016a0ad9f1b3348191b7fe52f71474b4eb",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance\",\"pattern\":\"confirm_candidate|candidate.*confirm|transaction-candidates|budget.*confirm\",\"target\":\"content\",\"limit\":80,\"context\":2}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "search_files",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_JrCh4IrkqP8xaq5YjuvDy34v"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_EHs9mbvpmyPVtMpOpSAGlnFK",
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          "response_item_id": "fc_09aa95dd40d653f4016a0ad9f5bb788191ab16c3acdebd77e4",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"context\":2,\"limit\":100,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance\",\"pattern\":\"confirmed_transaction_id|Bulk|bulk|Confirm|confirm\",\"target\":\"content\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "search_files",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_EHs9mbvpmyPVtMpOpSAGlnFK"
    },
    {
      "role": "assistant",
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      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from fastapi import APIRouter, Depends\\n     4|from sqlite3 import Connection\\n     5|\\n     6|from jarvis_finance.api.dependencies import get_db\\n     7|from jarvis_finance.services.budget_accounts import archive_budget_account, confirm_create_budget_account, create_budget_account_preview, list_budget_accounts\\n     8|from jarvis_finance.services.budget_categories import (\\n     9|    archive_category,\\n    10|    archive_tag,\\n    11|    confirm_category_merge,\\n    12|    confirm_create_category,\\n    13|    confirm_create_tag,\\n    14|    create_category_preview,\\n    15|    create_tag_preview,\\n    16|    delete_empty_category,\\n    17|    list_category_tree_grouped,\\n    18|    list_categories,\\n    19|    list_tags,\\n    20|    preview_category_merges,\\n    21|    update_category,\\n    22|)\\n    23|from jarvis_finance.services.budget_csv_imports import import_budget_csv_text, import_profile_specs\\n    24|from jarvis_finance.services.budget_imports import (\\n    25|    archive_reference_year_candidates,\\n    26|    apply_budget_rules_to_open_candidates,\\n    27|    apply_merchant_to_open_candidates,\\n    28|    batch_confirm_safe_candidates,\\n    29|    batch_mark_candidates,\\n    30|    confirm_migros_receipts_2026,\\n    31|    bulk_update_transaction_candidate_category,\\n    32|    confirm_candidate_split,\\n    33|    confirm_transaction_candidate,\\n    34|    create_budget_rule,\\n    35|    create_merchant,\\n    36|    create_merchant_alias,\\n    37|    create_candidate_split,\\n    38|    create_review_category_for_candidate,\\n    39|    deactivate_budget_rule,\\n    40|    detect_duplicate_candidates,\\n    41|    ignore_transaction_candidate,\\n    42|    list_budget_rules,\\n    43|    list_merchants,\\n    44|    list_transaction_candidates,\\n    45|    merge_merchants,\\n    46|    mark_candidate_transfer,\\n    47|    mark_candidate_type,\\n    48|    preview_migros_receipts_2026,\\n    49|    preview_batch_confirm_candidates,\\n    50|    preview_safe_auto_candidates,\\n    51|    preview_transaction_candidate,\\n    52|    prioritize_budget_rule,\\n    53|    reopen_transaction_candidate,\\n    54|    review_candidate_summary,\\n    55|    seed_bank_transfer_candidates_from_rows,\\n    56|    seed_credit_card_candidates_from_rows,\\n    57|    seed_migros_candidates_from_rows,\\n    58|    seed_transaction_candidates_from_csv_text,\\n    59|    seed_transaction_candidates_from_rows,\\n    60|    test_budget_rule,\\n    61|    update_budget_rule,\\n    62|    update_merchant_category,\\n    63|    update_transaction_candidate_category,\\n    64|)\\n    65|from jarvis_finance.services.budget_analytics import get_category_analysis, get_monthly_comparison\\n    66|from jarvis_finance.services.budget_analytics_v2 import get_budget_dashboard_cockpit, get_budget_vs_actual_analysis\\n    67|from jarvis_finance.services.budget_overview import get_budget_charts_2026, get_budget_overview, get_budget_status_by_category, get_category_month_detail, get_category_summary, get_income_status, get_monthly_summary\\n    68|from jarvis_finance.services.budget_plans import archive_budget_plan_item, confirm_budget_plan_item, create_budget_plan_item_preview, list_budget_plan_items, list_income_plan_items, list_income_seed_candidates\\n    69|from jarvis_finance.services.budget_seed_review import (\\n    70|    confirm_budget_plan_takeover,\\n    71|    confirm_clear_category_takeover,\\n    72|    confirm_seed_candidate,\\n    73|    convert_unclean_range,\\n    74|    ignore_seed_candidate,\\n    75|    list_seed_candidates,\\n    76|    preview_budget_plan_takeover,\\n    77|    preview_clear_category_takeover,\\n    78|    preview_seed_candidate,\\n    79|    reopen_seed_candidate,\\n    80|    seed_budget_candidates_from_rows,\\n    81|    set_seed_candidate_status,\\n    82|)\\n    83|from jarvis_finance.services.budget_transactions import (\\n    84|    confirm_budget_transaction,\\n    85|    confirm_reverse_budget_transaction,\\n    86|    confirm_transfer,\\n    87|    create_budget_transaction_preview,\\n    88|    create_transfer_preview,\\n    89|    list_budget_transactions,\\n    90|    reverse_budget_transaction_preview,\\n    91|    update_budget_transaction,\\n    92|)\\n    93|\\n    94|router = APIRouter(prefix=\\\"/budget\\\", tags=[\\\"budget\\\"])\\n    95|\\n    96|\\n    97|@router.get(\\\"/dashboard/cockpit\\\")\\n    98|def dashboard_cockpit(month: str = \\\"2026-05\\\", conn: Connection = Depends(get_db)):\\n    99|    return get_budget_dashboard_cockpit(conn, month=month)\\n   100|\\n   101|\\n   102|@router.get(\\\"/analysis/budget-vs-actual\\\")\\n   103|def budget_vs_actual_analysis(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n   104|    return get_budget_vs_actual_analysis(conn, year=year)\\n   105|\\n   106|\\n   107|@router.get(\\\"/overview\\\")\\n   108|def overview(month: str | None = None, conn: Connection = Depends(get_db)):\\n   109|    return get_budget_overview(conn, month)\\n   110|\\n   111|\\n   112|@router.get(\\\"/status/categories\\\")\\n   113|def category_budget_status(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n   114|    return get_budget_status_by_category(conn, year=year)\\n   115|\\n   116|\\n   117|@router.get(\\\"/status/categories/{category_id}/months/{month}\\\")\\n   118|def category_month_detail(category_id: str, month: str, conn: Connection = Depends(get_db)):\\n   119|    return get_category_month_detail(conn, category_id=category_id, month=month)\\n   120|\\n   121|\\n   122|@router.get(\\\"/charts\\\")\\n   123|def budget_charts(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n   124|    return get_budget_charts_2026(conn, year=year)\\n   125|\\n   126|\\n   127|@router.get(\\\"/analysis/categories\\\")\\n   128|def category_analysis(year: str = \\\"2026\\\", month: str | None = None, tx_type: str = \\\"expense\\\", conn: Connection = Depends(get_db)):\\n   129|    return get_category_analysis(conn, year=year, month=month, tx_type=tx_type)\\n   130|\\n   131|\\n   132|@router.get(\\\"/analysis/monthly-comparison\\\")\\n   133|def monthly_comparison(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n   134|    return get_monthly_comparison(conn, year=year)\\n   135|\\n   136|\\n   137|@router.get(\\\"/income/status\\\")\\n   138|def income_budget_status(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n   139|    return get_income_status(conn, year=year)\\n   140|\\n   141|\\n   142|@router.get(\\\"/income/plans\\\")\\n   143|def income_plans(year: str = \\\"2026\\\", include_archived: bool = False, conn: Connection = Depends(get_db)):\\n   144|    return list_income_plan_items(conn, year=year, include_archived=include_archived)\\n   145|\\n   146|\\n   147|@router.get(\\\"/income/seed-candidates\\\")\\n   148|def income_seed_candidates(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n   149|    return list_income_seed_candidates(conn, year=year)\\n   150|\\n   151|\\n   152|@router.post(\\\"/income/plans/preview\\\")\\n   153|def income_plans_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   154|    return create_budget_plan_item_preview(conn, payload)\\n   155|\\n   156|\\n   157|@router.post(\\\"/income/plans/confirm\\\")\\n   158|def income_plans_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   159|    return confirm_budget_plan_item(conn, payload)\\n   160|\\n   161|\\n   162|@router.post(\\\"/income/plans/{plan_item_id}/archive\\\")\\n   163|def income_plans_archive(plan_item_id: str, conn: Connection = Depends(get_db)):\\n   164|    return archive_budget_plan_item(conn, plan_item_id)\\n   165|\\n   166|\\n   167|@router.get(\\\"/monthly-summary\\\")\\n   168|def monthly_summary(month: str | None = None, conn: Connection = Depends(get_db)):\\n   169|    return get_monthly_summary(conn, month)\\n   170|\\n   171|\\n   172|@router.get(\\\"/categories/summary\\\")\\n   173|def categories_summary(month: str | None = None, conn: Connection = Depends(get_db)):\\n   174|    return get_category_summary(conn, month)\\n   175|\\n   176|\\n   177|@router.get(\\\"/accounts\\\")\\n   178|def accounts(include_archived: bool = False, conn: Connection = Depends(get_db)):\\n   179|    return list_budget_accounts(conn, include_archived=include_archived)\\n   180|\\n   181|\\n   182|@router.post(\\\"/accounts/preview\\\")\\n   183|def accounts_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   184|    return create_budget_account_preview(conn, payload)\\n   185|\\n   186|\\n   187|@router.post(\\\"/accounts/confirm\\\")\\n   188|def accounts_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   189|    return confirm_create_budget_account(conn, payload)\\n   190|\\n   191|\\n   192|@router.post(\\\"/accounts/{account_id}/archive\\\")\\n   193|def accounts_archive(account_id: str, conn: Connection = Depends(get_db)):\\n   194|    return archive_budget_account(conn, account_id)\\n   195|\\n   196|\\n   197|@router.get(\\\"/categories\\\")\\n   198|def categories(include_archived: bool = False, grouped: bool = False, conn: Connection = Depends(get_db)):\\n   199|    if grouped:\\n   200|        return list_category_tree_grouped(conn, include_archived=include_archived)\\n   201|    return list_categories(conn, include_archived=include_archived)\\n   202|\\n   203|\\n   204|@router.get(\\\"/categories/tree\\\")\\n   205|def category_tree(include_archived: bool = False, conn: Connection = Depends(get_db)):\\n   206|    return list_category_tree_grouped(conn, include_archived=include_archived)\\n   207|\\n   208|\\n   209|@router.get(\\\"/tags\\\")\\n   210|def tags(include_archived: bool = False, conn: Connection = Depends(get_db)):\\n   211|    return list_tags(conn, include_archived=include_archived)\\n   212|\\n   213|\\n   214|@router.post(\\\"/tags/preview\\\")\\n   215|def tags_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   216|    return create_tag_preview(conn, payload)\\n   217|\\n   218|\\n   219|@router.post(\\\"/tags/confirm\\\")\\n   220|def tags_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   221|    return confirm_create_tag(conn, payload)\\n   222|\\n   223|\\n   224|@router.post(\\\"/tags/{tag_id}/archive\\\")\\n   225|def tags_archive(tag_id: str, conn: Connection = Depends(get_db)):\\n   226|    return archive_tag(conn, tag_id)\\n   227|\\n   228|\\n   229|@router.get(\\\"/plans\\\")\\n   230|def plans(month: str | None = None, include_archived: bool = True, conn: Connection = Depends(get_db)):\\n   231|    return list_budget_plan_items(conn, month=month, include_archived=include_archived)\\n   232|\\n   233|\\n   234|@router.post(\\\"/plans/preview\\\")\\n   235|def plans_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   236|    return create_budget_plan_item_preview(conn, payload)\\n   237|\\n   238|\\n   239|@router.post(\\\"/plans/confirm\\\")\\n   240|def plans_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   241|    return confirm_budget_plan_item(conn, payload)\\n   242|\\n   243|\\n   244|@router.get(\\\"/seed-candidates\\\")\\n   245|def seed_candidates(status: str | None = None, candidate_type: str | None = None, conn: Connection = Depends(get_db)):\\n   246|    return list_seed_candidates(conn, status=status, candidate_type=candidate_type)\\n   247|\\n   248|\\n   249|@router.get(\\\"/import-profiles\\\")\\n   250|def budget_import_profiles():\\n   251|    return import_profile_specs()\\n   252|\\n   253|\\n   254|@router.post(\\\"/import-profiles/{profile_name}/dry-run\\\")\\n   255|def budget_import_profile_dry_run(profile_name: str, payload: dict, conn: Connection = Depends(get_db)):\\n   256|    return import_budget_csv_text(conn, profile_name, str(payload.get(\\\"csv_text\\\") or \\\"\\\"), source_file_label=payload.get(\\\"source_file_label\\\") or f\\\"{profile_name}.csv\\\", dry_run=True, default_category_id=payload.get(\\\"default_category_id\\\"), income_category_id=payload.get(\\\"income_category_id\\\"))\\n   257|\\n   258|\\n   259|@router.post(\\\"/import-profiles/{profile_name}/candidates\\\")\\n   260|def budget_import_profile_candidates(profile_name: str, payload: dict, conn: Connection = Depends(get_db)):\\n   261|    return import_budget_csv_text(conn, profile_name, str(payload.get(\\\"csv_text\\\") or \\\"\\\"), source_file_label=payload.get(\\\"source_file_label\\\") or f\\\"{profile_name}.csv\\\", dry_run=False, default_category_id=payload.get(\\\"default_category_id\\\"), income_category_id=payload.get(\\\"income_category_id\\\"))\\n   262|\\n   263|\\n   264|@router.get(\\\"/transaction-candidates\\\")\\n   265|def transaction_candidates(status: str | None = None, tab: str | None = None, source_type: str | None = None, category_id: str | None = None, merchant: str | None = None, rule: str | None = None, min_confidence: str | None = None, date_from: str | None = None, date_to: str | None = None, amount_min: str | None = None, amount_max: str | None = None, sort_by: str = \\\"created_at\\\", sort_dir: str = \\\"desc\\\", budget_year: str = \\\"2026\\\", include_reference: bool = False, conn: Connection = Depends(get_db)):\\n   266|    return list_transaction_candidates(conn, status=status, tab=tab, source_type=source_type, category_id=category_id, merchant=merchant, rule=rule, min_confidence=min_confidence, date_from=date_from, date_to=date_to, amount_min=amount_min, amount_max=amount_max, sort_by=sort_by, sort_dir=sort_dir, budget_year=budget_year, include_reference=include_reference)\\n   267|\\n   268|\\n   269|@router.get(\\\"/transaction-candidates/summary\\\")\\n   270|def transaction_candidates_summary(budget_year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n   271|    return review_candidate_summary(conn, budget_year=budget_year)\\n   272|\\n   273|\\n   274|@router.post(\\\"/transaction-candidates/generate\\\")\\n   275|def transaction_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n   276|    source_type = payload.get(\\\"source_type\\\") or \\\"csv_seed\\\"\\n   277|    rows = payload.get(\\\"rows\\\") or []\\n   278|    if source_type == \\\"credit_card_csv\\\":\\n   279|        return seed_credit_card_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Credit card CSV\\\", subscription_category_id=payload.get(\\\"subscription_category_id\\\"), migros_covered=payload.get(\\\"migros_covered\\\", True))\\n   280|    if source_type == \\\"migros_csv\\\":\\n   281|        return seed_migros_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Migros CSV\\\", auto_category_id=payload.get(\\\"auto_category_id\\\"), threshold_chf=str(payload.get(\\\"threshold_chf\\\") or \\\"50.00\\\"))\\n   282|    if source_type == \\\"bank_csv\\\":\\n   283|        return seed_bank_transfer_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Bank CSV\\\", income_category_id=payload.get(\\\"income_category_id\\\"))\\n   284|    if payload.get(\\\"csv_text\\\"):\\n   285|        return seed_transaction_candidates_from_csv_text(conn, payload[\\\"csv_text\\\"], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"CSV Import\\\", source_type=source_type)\\n   286|    return seed_transaction_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget Import\\\", source_type=source_type)\\n   287|\\n   288|\\n   289|@router.post(\\\"/transaction-candidates/migros-2026/preview\\\")\\n   290|def transaction_candidates_migros_2026_preview(payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   291|    return preview_migros_receipts_2026(conn, year=str((payload or {}).get(\\\"year\\\") or \\\"2026\\\"))\\n   292|\\n   293|\\n   294|@router.post(\\\"/transaction-candidates/migros-2026/confirm\\\")\\n   295|def transaction_candidates_migros_2026_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   296|    return confirm_migros_receipts_2026(conn, account_id=str(payload.get(\\\"account_id\\\") or \\\"\\\"), year=str(payload.get(\\\"year\\\") or \\\"2026\\\"))\\n   297|\\n   298|\\n   299|@router.post(\\\"/transaction-candidates/{candidate_id}/preview\\\")\\n   300|def transaction_candidates_preview(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   301|    return preview_transaction_candidate(conn, candidate_id, payload or {})\\n   302|\\n   303|\\n   304|@router.post(\\\"/transaction-candidates/{candidate_id}/confirm\\\")\\n   305|def transaction_candidates_confirm(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   306|    return confirm_transaction_candidate(conn, candidate_id, payload)\\n   307|\\n   308|\\n   309|@router.post(\\\"/transaction-candidates/{candidate_id}/ignore\\\")\\n   310|def transaction_candidates_ignore(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   311|    return ignore_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n   312|\\n   313|\\n   314|@router.post(\\\"/transaction-candidates/{candidate_id}/reopen\\\")\\n   315|def transaction_candidates_reopen(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   316|    return reopen_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n   317|\\n   318|\\n   319|@router.post(\\\"/transaction-candidates/{candidate_id}/category\\\")\\n   320|def transaction_candidates_category(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   321|    return update_transaction_candidate_category(conn, candidate_id, payload.get(\\\"category_id\\\"), payload.get(\\\"note\\\"))\\n   322|\\n   323|\\n   324|@router.post(\\\"/transaction-candidates/bulk-category\\\")\\n   325|def transaction_candidates_bulk_category(payload: dict, conn: Connection = Depends(get_db)):\\n   326|    category_id = str(payload.get(\\\"category_id\\\") or \\\"\\\")\\n   327|    return bulk_update_transaction_candidate_category(conn, candidate_ids=payload.get(\\\"candidate_ids\\\") or [], category_id=category_id, note=payload.get(\\\"note\\\"))\\n   328|\\n   329|\\n   330|@router.post(\\\"/transaction-candidates/{candidate_id}/split\\\")\\n   331|def transaction_candidates_split(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   332|    return create_candidate_split(conn, candidate_id, payload.get(\\\"splits\\\") or [])\\n   333|\\n   334|\\n   335|@router.post(\\\"/transaction-candidates/{candidate_id}/split/confirm\\\")\\n   336|def transaction_candidates_split_confirm(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   337|    return confirm_candidate_split(conn, candidate_id, payload)\\n   338|\\n   339|\\n   340|@router.post(\\\"/transaction-candidates/{candidate_id}/category/create\\\")\\n   341|def transaction_candidates_create_category(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   342|    return create_review_category_for_candidate(conn, candidate_id, payload)\\n   343|\\n   344|\\n   345|@router.post(\\\"/transaction-candidates/{candidate_id}/transfer\\\")\\n   346|def transaction_candidates_transfer(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   347|    return mark_candidate_transfer(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n   348|\\n   349|\\n   350|@router.post(\\\"/transaction-candidates/{candidate_id}/type\\\")\\n   351|def transaction_candidates_type(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   352|    return mark_candidate_type(conn, candidate_id, str(payload.get(\\\"candidate_type\\\") or \\\"\\\"), (payload or {}).get(\\\"note\\\"))\\n   353|\\n   354|\\n   355|@router.post(\\\"/transaction-candidates/batch-confirm-safe/preview\\\")\\n   356|def transaction_candidates_batch_confirm_safe_preview(conn: Connection = Depends(get_db)):\\n   357|    return preview_safe_auto_candidates(conn)\\n   358|\\n   359|\\n   360|@router.post(\\\"/transaction-candidates/batch/preview\\\")\\n   361|def transaction_candidates_batch_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   362|    return preview_batch_confirm_candidates(conn, candidate_ids=payload.get(\\\"candidate_ids\\\") or [], account_id=str(payload.get(\\\"account_id\\\") or \\\"\\\"), budget_year=str(payload.get(\\\"budget_year\\\") or \\\"2026\\\"))\\n   363|\\n   364|\\n   365|@router.post(\\\"/transaction-candidates/batch\\\")\\n   366|def transaction_candidates_batch(payload: dict, conn: Connection = Depends(get_db)):\\n   367|    return batch_mark_candidates(conn, candidate_ids=payload.get(\\\"candidate_ids\\\") or [], action=str(payload.get(\\\"action\\\") or \\\"\\\"), account_id=payload.get(\\\"account_id\\\"), category_id=payload.get(\\\"category_id\\\"), preview_id=payload.get(\\\"preview_id\\\"), note=payload.get(\\\"note\\\"), budget_year=str(payload.get(\\\"budget_year\\\") or \\\"2026\\\"))\\n   368|\\n   369|\\n   370|@router.post(\\\"/transaction-candidates/archive-reference-year\\\")\\n   371|def transaction_candidates_archive_reference(payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   372|    payload = payload or {}\\n   373|    return archive_reference_year_candidates(conn, active_year=str(payload.get(\\\"active_year\\\") or \\\"2026\\\"), reference_year=str(payload.get(\\\"reference_year\\\") or \\\"2025\\\"))\\n   374|\\n   375|\\n   376|@router.post(\\\"/transaction-candidates/batch-confirm-safe\\\")\\n   377|def transaction_candidates_batch_confirm_safe(payload: dict, conn: Connection = Depends(get_db)):\\n   378|    account_id = str(payload.get(\\\"account_id\\\") or \\\"\\\")\\n   379|    return batch_confirm_safe_candidates(conn, account_id=account_id, candidate_ids=payload.get(\\\"candidate_ids\\\") or None)\\n   380|\\n   381|\\n   382|@router.post(\\\"/transaction-candidates/detect-duplicates\\\")\\n   383|def transaction_candidates_detect_duplicates(conn: Connection = Depends(get_db)):\\n   384|    return detect_duplicate_candidates(conn)\\n   385|\\n   386|\\n   387|@router.get(\\\"/merchants\\\")\\n   388|def merchants(include_inactive: bool = False, conn: Connection = Depends(get_db)):\\n   389|    return list_merchants(conn, include_inactive=include_inactive)\\n   390|\\n   391|\\n   392|@router.post(\\\"/merchants\\\")\\n   393|def merchants_create(payload: dict, conn: Connection = Depends(get_db)):\\n   394|    return create_merchant(conn, payload)\\n   395|\\n   396|\\n   397|@router.post(\\\"/merchants/{merchant_id}/aliases\\\")\\n   398|def merchants_create_alias(merchant_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   399|    return create_merchant_alias(conn, merchant_id, payload)\\n   400|\\n   401|\\n   402|@router.post(\\\"/merchants/{merchant_id}/category\\\")\\n   403|def merchants_update_category(merchant_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   404|    return update_merchant_category(conn, merchant_id, payload.get(\\\"category_id\\\"))\\n   405|\\n   406|\\n   407|@router.post(\\\"/merchants/{merchant_id}/apply\\\")\\n   408|def merchants_apply(merchant_id: str, conn: Connection = Depends(get_db)):\\n   409|    return apply_merchant_to_open_candidates(conn, merchant_id)\\n   410|\\n   411|\\n   412|@router.post(\\\"/merchants/merge\\\")\\n   413|def merchants_merge(payload: dict, conn: Connection = Depends(get_db)):\\n   414|    return merge_merchants(conn, str(payload.get(\\\"source_merchant_id\\\") or \\\"\\\"), str(payload.get(\\\"target_merchant_id\\\") or \\\"\\\"))\\n   415|\\n   416|\\n   417|@router.post(\\\"/seed-candidates/generate\\\")\\n   418|def seed_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n   419|    return seed_budget_candidates_from_rows(conn, payload.get(\\\"workbook_rows\\\") or {}, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget workbook\\\")\\n   420|\\n   421|\\n   422|@router.post(\\\"/seed-candidates/{seed_candidate_id}/preview\\\")\\n   423|def seed_candidates_preview(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   424|    return preview_seed_candidate(conn, seed_candidate_id, payload or {})\\n   425|\\n   426|\\n   427|@router.post(\\\"/seed-candidates/{seed_candidate_id}/confirm\\\")\\n   428|def seed_candidates_confirm(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   429|    return confirm_seed_candidate(conn, seed_candidate_id, payload)\\n   430|\\n   431|\\n   432|@router.post(\\\"/seed-candidates/{seed_candidate_id}/ignore\\\")\\n   433|def seed_candidates_ignore(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   434|    return ignore_seed_candidate(conn, seed_candidate_id, (payload or {}).get(\\\"note\\\"))\\n   435|\\n   436|\\n   437|@router.post(\\\"/seed-candidates/{seed_candidate_id}/reopen\\\")\\n   438|def seed_candidates_reopen(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   439|    return reopen_seed_candidate(conn, seed_candidate_id, (payload or {}).get(\\\"note\\\"))\\n   440|\\n   441|\\n   442|@router.post(\\\"/seed-candidates/{seed_candidate_id}/status\\\")\\n   443|def seed_candidates_status(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   444|    return set_seed_candidate_status(conn, seed_candidate_id, payload.get(\\\"status\\\"), payload.get(\\\"note\\\"))\\n   445|\\n   446|\\n   447|@router.post(\\\"/seed-candidates/{seed_candidate_id}/convert-unclean\\\")\\n   448|def seed_candidates_convert_unclean(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   449|    return convert_unclean_range(conn, seed_candidate_id, payload.get(\\\"target_type\\\"), payload)\\n   450|\\n   451|\\n   452|@router.post(\\\"/seed-candidates/categories/preview-clear-takeover\\\")\\n   453|def seed_candidates_categories_preview_clear_takeover(conn: Connection = Depends(get_db)):\\n   454|    return preview_clear_category_takeover(conn)\\n   455|\\n   456|\\n   457|@router.post(\\\"/seed-candidates/categories/confirm-clear-takeover\\\")\\n   458|def seed_candidates_categories_confirm_clear_takeover(conn: Connection = Depends(get_db)):\\n   459|    return confirm_clear_category_takeover(conn)\\n   460|\\n   461|\\n   462|@router.post(\\\"/seed-candidates/budget-plans/preview-takeover\\\")\\n   463|def seed_candidates_budget_plans_preview_takeover(conn: Connection = Depends(get_db)):\\n   464|    return preview_budget_plan_takeover(conn)\\n   465|\\n   466|\\n   467|@router.post(\\\"/seed-candidates/budget-plans/confirm-takeover\\\")\\n   468|def seed_candidates_budget_plans_confirm_takeover(conn: Connection = Depends(get_db)):\\n   469|    return confirm_budget_plan_takeover(conn)\\n   470|\\n   471|\\n   472|@router.post(\\\"/categories/preview\\\")\\n   473|def categories_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   474|    return create_category_preview(conn, payload)\\n   475|\\n   476|\\n   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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import csv\\n     4|import hashlib\\n     5|import json\\n     6|import re\\n     7|from collections import defaultdict\\n     8|from dataclasses import dataclass\\n     9|from datetime import datetime, timedelta\\n    10|from decimal import Decimal, InvalidOperation\\n    11|from sqlite3 import Connection\\n    12|from typing import Any\\n    13|\\n    14|from fastapi import HTTPException\\n    15|\\n    16|from jarvis_finance.audit.log import record_audit_event\\n    17|from jarvis_finance.services.budget_common import new_id, now, row_to_dict\\n    18|from jarvis_finance.services.budget_transactions import confirm_budget_transaction\\n    19|\\n    20|SUBSCRIPTION_PATTERNS = [\\\"APPLE\\\", \\\"APPLE.COM\\\", \\\"GOOGLE\\\", \\\"AMAZON PRIME\\\", \\\"NETFLIX\\\", \\\"DISNEY\\\", \\\"DISNEYPLUS\\\"]\\n    21|MIGROS_PATTERNS = [\\\"MIGROS\\\", \\\"MIGROL\\\", \\\"CUMULUS\\\", \\\"MMM \\\"]\\n    22|GALAXUS_PATTERNS = [\\\"GALAXUS\\\"]\\n    23|INCOME_PATTERNS = [\\\"LOHN\\\", \\\"SALARY\\\", \\\"ARBEITGEBER\\\", \\\"PAYROLL\\\", \\\"GEHALT\\\"]\\n    24|TRANSFER_PATTERNS = [\\\"RAIFFEISEN\\\", \\\"AKB\\\", \\\"MARCEL\\\", \\\"MELANIE\\\", \\\"ÜBERTRAG\\\", \\\"UEBERTRAG\\\", \\\"TRANSFER\\\", \\\"EIGENES KONTO\\\", \\\"GUTSCHRIFT VON\\\"]\\n    25|\\n    26|\\n    27|def _decimal_text(value: object) -> str | None:\\n    28|    if value in (None, \\\"\\\"):\\n    29|        return None\\n    30|    text = str(value).strip().replace(\\\"'\\\", \\\"\\\").replace(\\\"CHF\\\", \\\"\\\").replace(\\\"−\\\", \\\"-\\\")\\n    31|    text = text.replace(\\\"+\\\", \\\"\\\")\\n    32|    if text.count(\\\",\\\") == 1 and text.count(\\\".\\\") == 0:\\n    33|        text = text.replace(\\\",\\\", \\\".\\\")\\n    34|    text = text.replace(\\\" \\\", \\\"\\\")\\n    35|    try:\\n    36|        return format(abs(Decimal(text)), \\\"f\\\")\\n    37|    except (InvalidOperation, ValueError):\\n    38|        return None\\n    39|\\n    40|\\n    41|def _signed_decimal(value: object) -> Decimal | None:\\n    42|    if value in (None, \\\"\\\"):\\n    43|        return None\\n    44|    text = str(value).strip().replace(\\\"'\\\", \\\"\\\").replace(\\\"CHF\\\", \\\"\\\").replace(\\\"−\\\", \\\"-\\\").replace(\\\"+\\\", \\\"\\\")\\n    45|    if text.count(\\\",\\\") == 1 and text.count(\\\".\\\") == 0:\\n    46|        text = text.replace(\\\",\\\", \\\".\\\")\\n    47|    text = text.replace(\\\" \\\", \\\"\\\")\\n    48|    try:\\n    49|        return Decimal(text)\\n    50|    except (InvalidOperation, ValueError):\\n    51|        return None\\n    52|\\n    53|\\n    54|def _normalise(value: object) -> str:\\n    55|    return str(value or \\\"\\\").strip().lower().replace(\\\"ä\\\", \\\"ae\\\").replace(\\\"ö\\\", \\\"oe\\\").replace(\\\"ü\\\", \\\"ue\\\").replace(\\\"\\\\ufeff\\\", \\\"\\\")\\n    56|\\n    57|\\n    58|def _upper_ascii(value: object) -> str:\\n    59|    return _normalise(value).upper()\\n    60|\\n    61|\\n    62|def _date_text(value: object) -> str | None:\\n    63|    text = str(value or \\\"\\\").strip()\\n    64|    if not text:\\n    65|        return None\\n    66|    if re.match(r\\\"^\\\\d{4}-\\\\d{2}-\\\\d{2}\\\", text):\\n    67|        return text[:10]\\n    68|    m = re.match(r\\\"^(\\\\d{1,2})\\\\.(\\\\d{1,2})\\\\.(\\\\d{4})\\\", text)\\n    69|    if m:\\n    70|        d, mo, y = m.groups()\\n    71|        return f\\\"{y}-{int(mo):02d}-{int(d):02d}\\\"\\n    72|    return text[:10] if len(text) >= 10 else None\\n    73|\\n    74|\\n    75|def _category_name(conn: Connection, category_id: str | None) -> str | None:\\n    76|    if not category_id:\\n    77|        return None\\n    78|    row = conn.execute(\\\"SELECT name FROM budget_categories WHERE category_id=?\\\", (category_id,)).fetchone()\\n    79|    return str(row[\\\"name\\\"]) if row else None\\n    80|\\n    81|\\n    82|def _category_by_name(conn: Connection, needles: list[str]) -> tuple[str | None, str | None]:\\n    83|    cats = conn.execute(\\\"SELECT category_id, name FROM budget_categories WHERE is_active=1\\\").fetchall()\\n    84|    for needle in needles:\\n    85|        n = _normalise(needle)\\n    86|        for cat in cats:\\n    87|            if n and (n in _normalise(cat[\\\"name\\\"]) or _normalise(cat[\\\"name\\\"]) in n):\\n    88|                return str(cat[\\\"category_id\\\"]), str(cat[\\\"name\\\"])\\n    89|    return None, None\\n    90|\\n    91|\\n    92|def suggest_category(conn: Connection, description: str, source_label: str = \\\"\\\") -> tuple[str | None, str | None, str, bool]:\\n    93|    text = _normalise(f\\\"{source_label} {description}\\\")\\n    94|    if \\\"migros\\\" in text or \\\"cumulus\\\" in text:\\n    95|        cid, cname = _category_by_name(conn, [\\\"Essen & Haushalt\\\", \\\"Grosseinkauf\\\", \\\"Essen\\\", \\\"Haushalt\\\", \\\"Leben\\\"])\\n    96|        return cid, cname or \\\"Essen & Haushalt / Grosseinkauf\\\", \\\"0.80\\\", cid is None\\n    97|    keyword_map = [\\n    98|        ([\\\"krankenkasse\\\", \\\"versicherung\\\", \\\"axa\\\", \\\"zurich\\\", \\\"css\\\", \\\"helsana\\\"], [\\\"Versicherungen\\\", \\\"Krankenkasse\\\"]),\\n    99|        ([\\\"coop\\\", \\\"denner\\\", \\\"aldi\\\", \\\"lidl\\\"], [\\\"Essen\\\", \\\"Haushalt\\\", \\\"Leben\\\"]),\\n   100|        ([\\\"sbb\\\", \\\"zug\\\", \\\"bahn\\\", \\\"parking\\\", \\\"tankstelle\\\", \\\"mazda\\\"], [\\\"Mobilität\\\", \\\"Auto\\\"]),\\n   101|        ([\\\"lohn\\\", \\\"salary\\\", \\\"einkommen\\\", \\\"gutschrift\\\"], [\\\"Einnahmen\\\", \\\"Lohn\\\"]),\\n   102|    ]\\n   103|    for words, cats in keyword_map:\\n   104|        if any(w in text for w in words):\\n   105|            cid, cname = _category_by_name(conn, cats)\\n   106|            return cid, cname or cats[0], \\\"0.65\\\", cid is None\\n   107|    return None, None, \\\"0.20\\\", True\\n   108|\\n   109|\\n   110|def _duplicate_of(conn: Connection, tx_date: str | None, amount: str | None, description: str) -> str | None:\\n   111|    if not tx_date or not amount:\\n   112|        return None\\n   113|    row = conn.execute(\\n   114|        \\\"\\\"\\\"\\n   115|        SELECT budget_transaction_id FROM budget_transactions\\n   116|        WHERE transaction_date=? AND status IN ('confirmed','reversed')\\n   117|          AND COALESCE(amount_chf, amount_original)=?\\n   118|          AND lower(description)=lower(?)\\n   119|        ORDER BY created_at LIMIT 1\\n   120|        \\\"\\\"\\\",\\n   121|        (tx_date, amount, description),\\n   122|    ).fetchone()\\n   123|    return str(row[\\\"budget_transaction_id\\\"]) if row else None\\n   124|\\n   125|\\n   126|def _candidate_key(source_label: str, row_ref: str, tx_date: str | None, amount: str | None, description: str) -> str:\\n   127|    raw = \\\"|\\\".join([source_label, row_ref, tx_date or \\\"\\\", amount or \\\"\\\", description])\\n   128|    return hashlib.sha256(raw.encode(\\\"utf-8\\\")).hexdigest()[:24]\\n   129|\\n   130|\\n   131|STATUS_LABELS = {\\n   132|    \\\"pending\\\": \\\"Offen\\\",\\n   133|    \\\"auto_categorized\\\": \\\"Sicher vorgeschlagen\\\",\\n   134|    \\\"needs_review\\\": \\\"Review nötig\\\",\\n   135|    \\\"confirmed\\\": \\\"Bestätigt\\\",\\n   136|    \\\"ignored\\\": \\\"Ignoriert\\\",\\n   137|    \\\"covered_by_source\\\": \\\"Durch Quelle abgedeckt\\\",\\n   138|    \\\"covered_by_migros\\\": \\\"Durch Migros abgedeckt\\\",\\n   139|    \\\"duplicate_candidate\\\": \\\"Mögliches Duplikat\\\",\\n   140|    \\\"duplicate\\\": \\\"Mögliches Duplikat\\\",\\n   141|    \\\"transfer_candidate\\\": \\\"Möglicher Transfer\\\",\\n   142|    \\\"superseded\\\": \\\"Ersetzt\\\",\\n   143|}\\n   144|\\n   145|\\n   146|def _candidate_view(row) -> dict[str, Any]:\\n   147|    data = row_to_dict(row) | {\\\"requires_review\\\": bool(row[\\\"requires_review\\\"])}\\n   148|    data[\\\"status_label\\\"] = data.get(\\\"status_label\\\") or STATUS_LABELS.get(str(data.get(\\\"status\\\") or \\\"\\\"), str(data.get(\\\"status\\\") or \\\"\\\"))\\n   149|    return data\\n   150|\\n   151|\\n   152|def _normalized_merchant_name(value: object) -> str:\\n   153|    return re.sub(r\\\"[^a-z0-9]+\\\", \\\" \\\", _normalise(value)).strip()\\n   154|\\n   155|\\n   156|def _merchant_text(row_or_description: Any, source_type: str | None = None) -> str:\\n   157|    if isinstance(row_or_description, dict):\\n   158|        return _normalise(\\\" \\\".join(str(row_or_description.get(k) or \\\"\\\") for k in (\\\"merchant\\\", \\\"description\\\", \\\"source_file_label\\\")))\\n   159|    return _normalise(row_or_description)\\n   160|\\n   161|\\n   162|def _merchant_alias_matches(alias, candidate) -> bool:\\n   163|    if alias[\\\"source_type\\\"] and alias[\\\"source_type\\\"] != candidate[\\\"source_type\\\"]:\\n   164|        return False\\n   165|    text = _merchant_text(row_to_dict(candidate))\\n   166|    pattern = str(alias[\\\"pattern\\\"] or \\\"\\\")\\n   167|    norm_pattern = _normalise(pattern)\\n   168|    if alias[\\\"match_type\\\"] == \\\"exact\\\":\\n   169|        return text == norm_pattern or _normalise(candidate[\\\"merchant\\\"] or \\\"\\\") == norm_pattern\\n   170|    if alias[\\\"match_type\\\"] == \\\"regex\\\":\\n   171|        try:\\n   172|            return re.search(pattern, text, re.IGNORECASE) is not None\\n   173|        except re.error:\\n   174|            return False\\n   175|    return norm_pattern in text\\n   176|\\n   177|\\n   178|def _fingerprint(parts: list[object]) -> str:\\n   179|    raw = \\\"|\\\".join(str(p or \\\"\\\").strip() for p in parts)\\n   180|    return hashlib.sha256(raw.encode(\\\"utf-8\\\")).hexdigest()[:32]\\n   181|\\n   182|\\n   183|def _insert_candidate(conn: Connection, row: dict[str, Any]) -> bool:\\n   184|    existing = conn.execute(\\n   185|        \\\"\\\"\\\"\\n   186|        SELECT 1 FROM budget_transaction_candidates\\n   187|        WHERE source_file_label=? AND source_row_or_range=? AND transaction_date IS ?\\n   188|          AND description=? AND COALESCE(amount_original,'')=COALESCE(?, '')\\n   189|        \\\"\\\"\\\",\\n   190|        (row[\\\"source_file_label\\\"], row.get(\\\"source_row_or_range\\\"), row.get(\\\"transaction_date\\\"), row[\\\"description\\\"], row.get(\\\"amount_original\\\")),\\n   191|    ).fetchone()\\n   192|    if existing:\\n   193|        return False\\n   194|    conn.execute(\\n   195|        \\\"\\\"\\\"\\n   196|        INSERT INTO budget_transaction_candidates(\\n   197|          transaction_candidate_id, source_file_label, source_row_or_range, source_type,\\n   198|          transaction_date, description, merchant, amount_original, currency_original,\\n   199|          proposed_category_id, proposed_category_name, duplicate_of_transaction_id,\\n   200|          confidence, requires_review, status, notes, created_at, updated_at,\\n   201|          classification, review_reason, rule_id, rule_name, source_priority, covered_by_source,\\n   202|          receipt_key, linked_candidate_id, account_source, raw_fingerprint\\n   203|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   204|        \\\"\\\"\\\",\\n   205|        (\\n   206|            row[\\\"transaction_candidate_id\\\"], row[\\\"source_file_label\\\"], row.get(\\\"source_row_or_range\\\"), row.get(\\\"source_type\\\") or \\\"csv_seed\\\",\\n   207|            row.get(\\\"transaction_date\\\"), row[\\\"description\\\"], row.get(\\\"merchant\\\"), row.get(\\\"amount_original\\\"), row.get(\\\"currency_original\\\") or \\\"CHF\\\",\\n   208|            row.get(\\\"proposed_category_id\\\"), row.get(\\\"proposed_category_name\\\"), row.get(\\\"duplicate_of_transaction_id\\\"),\\n   209|            row.get(\\\"confidence\\\") or \\\"0\\\", 1 if row.get(\\\"requires_review\\\", True) else 0, row.get(\\\"status\\\") or \\\"pending\\\", row.get(\\\"notes\\\"), row[\\\"created_at\\\"], row[\\\"updated_at\\\"],\\n   210|            row.get(\\\"classification\\\"), row.get(\\\"review_reason\\\"), row.get(\\\"rule_id\\\"), row.get(\\\"rule_name\\\"), row.get(\\\"source_priority\\\") or 50, row.get(\\\"covered_by_source\\\"),\\n   211|            row.get(\\\"receipt_key\\\"), row.get(\\\"linked_candidate_id\\\"), row.get(\\\"account_source\\\"), row.get(\\\"raw_fingerprint\\\"),\\n   212|        ),\\n   213|    )\\n   214|    return True\\n   215|\\n   216|\\n   217|def seed_transaction_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]] | list[list[Any]], *, source_file_label: str, source_type: str = \\\"csv_seed\\\") -> dict[str, int]:\\n   218|    created = duplicates = review = suggested = ignored = confirmed = 0\\n   219|    for idx, raw in enumerate(rows, start=1):\\n   220|        if isinstance(raw, dict):\\n   221|            low = {_normalise(k): v for k, v in raw.items()}\\n   222|            description = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"artikel\\\") or low.get(\\\"merchant\\\") or low.get(\\\"merchantname\\\") or low.get(\\\"haendler\\\") or \\\"\\\").strip()\\n   223|            merchant = str(low.get(\\\"merchant\\\") or low.get(\\\"merchantname\\\") or low.get(\\\"filiale\\\") or low.get(\\\"haendler\\\") or \\\"\\\").strip() or None\\n   224|            tx_date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\") or low.get(\\\"buchungsdatum\\\") or low.get(\\\"valutadate\\\"))\\n   225|            amount = _decimal_text(low.get(\\\"betrag\\\") or low.get(\\\"amount\\\") or low.get(\\\"umsatz\\\") or low.get(\\\"wert\\\") or low.get(\\\"originalamount\\\"))\\n   226|        else:\\n   227|            cells = [str(c).strip() for c in raw]\\n   228|            description = next((c for c in cells if c and _decimal_text(c) is None and not c[:4].isdigit()), \\\"\\\")\\n   229|            merchant = None\\n   230|            tx_date = next((_date_text(c) for c in cells if _date_text(c)), None)\\n   231|            amount = next((_decimal_text(c) for c in cells if _decimal_text(c) is not None), None)\\n   232|        if not description or not amount:\\n   233|            ignored += 1\\n   234|            continue\\n   235|        cid, cname, conf, needs_review = suggest_category(conn, description, source_file_label)\\n   236|        dup = _duplicate_of(conn, tx_date, amount, description)\\n   237|        status = \\\"duplicate\\\" if dup else (\\\"needs_review\\\" if needs_review else \\\"pending\\\")\\n   238|        if dup:\\n   239|            duplicates += 1\\n   240|        if cid:\\n   241|            suggested += 1\\n   242|        if needs_review:\\n   243|            review += 1\\n   244|        ts = now()\\n   245|        row_ref = f\\\"R{idx}\\\"\\n   246|        inserted = _insert_candidate(conn, {\\n   247|            \\\"transaction_candidate_id\\\": \\\"btxcand_\\\" + _candidate_key(source_file_label, row_ref, tx_date, amount, description),\\n   248|            \\\"source_file_label\\\": source_file_label,\\n   249|            \\\"source_row_or_range\\\": row_ref,\\n   250|            \\\"source_type\\\": source_type,\\n   251|            \\\"transaction_date\\\": tx_date,\\n   252|            \\\"description\\\": description[:300],\\n   253|            \\\"merchant\\\": merchant,\\n   254|            \\\"amount_original\\\": amount,\\n   255|            \\\"currency_original\\\": \\\"CHF\\\",\\n   256|            \\\"proposed_category_id\\\": cid,\\n   257|            \\\"proposed_category_name\\\": cname,\\n   258|            \\\"duplicate_of_transaction_id\\\": dup,\\n   259|            \\\"confidence\\\": conf,\\n   260|            \\\"requires_review\\\": needs_review or bool(dup),\\n   261|            \\\"status\\\": status,\\n   262|            \\\"notes\\\": \\\"mvp_light_category_suggestion\\\",\\n   263|            \\\"classification\\\": \\\"legacy_csv_seed\\\",\\n   264|            \\\"review_reason\\\": \\\"legacy_seed_review\\\" if needs_review else \\\"legacy_seed_suggested\\\",\\n   265|            \\\"raw_fingerprint\\\": _fingerprint([source_file_label, row_ref, tx_date, amount, description]),\\n   266|            \\\"created_at\\\": ts,\\n   267|            \\\"updated_at\\\": ts,\\n   268|        })\\n   269|        if inserted:\\n   270|            created += 1\\n   271|    conn.commit()\\n   272|    return {\\\"candidate_count\\\": created, \\\"suggested_count\\\": suggested, \\\"review_required_count\\\": review, \\\"possible_duplicate_count\\\": duplicates, \\\"ignored_count\\\": ignored, \\\"confirmed_count\\\": confirmed}\\n   273|\\n   274|\\n   275|def seed_transaction_candidates_from_csv_text(conn: Connection, text: str, *, source_file_label: str, source_type: str = \\\"csv_seed\\\") -> dict[str, int]:\\n   276|    sample = text[:4096]\\n   277|    dialect = csv.Sniffer().sniff(sample, delimiters=\\\",;\\\\t\\\") if sample.strip() else csv.excel\\n   278|    reader = csv.DictReader(text.splitlines(), dialect=dialect)\\n   279|    if reader.fieldnames:\\n   280|        return seed_transaction_candidates_from_rows(conn, list(reader), source_file_label=source_file_label, source_type=source_type)\\n   281|    return seed_transaction_candidates_from_rows(conn, list(csv.reader(text.splitlines(), dialect=dialect)), source_file_label=source_file_label, source_type=source_type)\\n   282|\\n   283|\\n   284|def seed_migros_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]], *, source_file_label: str, auto_category_id: str | None = None, threshold_chf: str = \\\"50.00\\\", candidate_source_type: str = \\\"migros_receipt\\\") -> dict[str, int]:\\n   285|    _threshold = Decimal(threshold_chf)\\n   286|    if not auto_category_id:\\n   287|        auto_category_id, auto_category_name = _category_id_name(conn, \\\"Essen & Haushalt\\\")\\n   288|    else:\\n   289|        auto_category_name = _category_name(conn, auto_category_id)\\n   290|    grouped: dict[str, list[tuple[int, dict[str, Any]]]] = defaultdict(list)\\n   291|    ignored = 0\\n   292|    for idx, raw in enumerate(rows, start=1):\\n   293|        low = {_normalise(k): v for k, v in raw.items()}\\n   294|        tx_date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\"))\\n   295|        time = str(low.get(\\\"zeit\\\") or low.get(\\\"time\\\") or \\\"\\\").strip()\\n   296|        store = str(low.get(\\\"filiale\\\") or low.get(\\\"store\\\") or \\\"Migros\\\").strip()\\n   297|        register = str(low.get(\\\"kasse\\\") or low.get(\\\"kassennummer\\\") or low.get(\\\"register\\\") or \\\"\\\").strip()\\n   298|        txn = str(low.get(\\\"transaktion\\\") or low.get(\\\"transaktionsnummer\\\") or low.get(\\\"bon\\\") or low.get(\\\"bon-id\\\") or \\\"\\\").strip()\\n   299|        amount = _decimal_text(low.get(\\\"umsatz\\\") or low.get(\\\"betrag\\\") or low.get(\\\"amount\\\"))\\n   300|        if not tx_date or not amount:\\n   301|            ignored += 1\\n   302|            continue\\n   303|        key = _fingerprint([tx_date, time, store, register, txn])\\n   304|        grouped[key].append((idx, raw))\\n   305|    created = auto = review = line_count = 0\\n   306|    for key, items in grouped.items():\\n   307|        first_low = {_normalise(k): v for k, v in items[0][1].items()}\\n   308|        tx_date = _date_text(first_low.get(\\\"datum\\\") or first_low.get(\\\"date\\\"))\\n   309|        time = str(first_low.get(\\\"zeit\\\") or first_low.get(\\\"time\\\") or \\\"\\\").strip()\\n   310|        store = str(first_low.get(\\\"filiale\\\") or first_low.get(\\\"store\\\") or \\\"Migros\\\").strip() or \\\"Migros\\\"\\n   311|        register = str(first_low.get(\\\"kasse\\\") or first_low.get(\\\"kassennummer\\\") or first_low.get(\\\"register\\\") or \\\"\\\").strip()\\n   312|        txn = str(first_low.get(\\\"transaktion\\\") or first_low.get(\\\"transaktionsnummer\\\") or first_low.get(\\\"bon\\\") or first_low.get(\\\"bon-id\\\") or \\\"\\\").strip()\\n   313|        total = sum(Decimal(_decimal_text(({_normalise(k): v for k, v in raw.items()}).get(\\\"umsatz\\\") or ({_normalise(k): v for k, v in raw.items()}).get(\\\"betrag\\\") or ({_normalise(k): v for k, v in raw.items()}).get(\\\"amount\\\")) or \\\"0\\\") for _, raw in items)\\n   314|        amount = format(total, \\\"f\\\")\\n   315|        needs_review = auto_category_id is None\\n   316|        status = \\\"needs_review\\\" if needs_review else \\\"auto_categorized\\\"\\n   317|        classification = \\\"migros_review_missing_category\\\" if needs_review else \\\"migros_receipt_food_household\\\"\\n   318|        review_reason = \\\"migros_receipt_missing_food_household_category\\\" if needs_review else \\\"migros_receipt_auto_food_household\\\"\\n   319|        row_ref = f\\\"BON:{tx_date}:{time}:{store}:{register}:{txn}\\\"[:180]\\n   320|        ts = now()\\n   321|        candidate_id = \\\"btxcand_\\\" + _candidate_key(source_file_label, row_ref, tx_date, amount, \\\"Migros Bon\\\")\\n   322|        inserted = _insert_candidate(conn, {\\n   323|            \\\"transaction_candidate_id\\\": candidate_id,\\n   324|            \\\"source_file_label\\\": source_file_label,\\n   325|            \\\"source_row_or_range\\\": row_ref,\\n   326|            \\\"source_type\\\": candidate_source_type,\\n   327|            \\\"transaction_date\\\": tx_date,\\n   328|            \\\"description\\\": f\\\"Migros Bon {store}\\\"[:300],\\n   329|            \\\"merchant\\\": store,\\n   330|            \\\"amount_original\\\": amount,\\n   331|            \\\"currency_original\\\": \\\"CHF\\\",\\n   332|            \\\"proposed_category_id\\\": None if needs_review else auto_category_id,\\n   333|            \\\"proposed_category_name\\\": None if needs_review else auto_category_name,\\n   334|            \\\"confidence\\\": \\\"0.90\\\" if not needs_review else \\\"0.60\\\",\\n   335|            \\\"requires_review\\\": needs_review,\\n   336|            \\\"status\\\": status,\\n   337|            \\\"notes\\\": json.dumps({\\\"rule\\\": \\\"migros_receipt_food_household\\\", \\\"legacy_threshold_chf\\\": threshold_chf, \\\"line_items\\\": len(items), \\\"article_rows_are_detail_only\\\": True}, ensure_ascii=False),\\n   338|            \\\"classification\\\": classification,\\n   339|            \\\"review_reason\\\": review_reason,\\n   340|            \\\"rule_id\\\": \\\"migros_receipt_food_household\\\" if not needs_review else \\\"migros_receipt_missing_category\\\",\\n   341|            \\\"rule_name\\\": \\\"Migros Bon = Essen & Haushalt\\\" if not needs_review else \\\"Migros Bon Kategorie fehlt\\\",\\n   342|            \\\"source_priority\\\": 90,\\n   343|            \\\"receipt_key\\\": key,\\n   344|            \\\"raw_fingerprint\\\": key,\\n   345|            \\\"created_at\\\": ts,\\n   346|            \\\"updated_at\\\": ts,\\n   347|        })\\n   348|        if inserted:\\n   349|            created += 1\\n   350|            auto += 0 if needs_review else 1\\n   351|            review += 1 if needs_review else 0\\n   352|            for idx, raw in items:\\n   353|                low = {_normalise(k): v for k, v in raw.items()}\\n   354|                item_amount = _decimal_text(low.get(\\\"umsatz\\\") or low.get(\\\"betrag\\\") or low.get(\\\"amount\\\"))\\n   355|                conn.execute(\\n   356|                    \\\"\\\"\\\"\\n   357|                    INSERT OR IGNORE INTO budget_import_line_items(\\n   358|                        line_item_id, transaction_candidate_id, source_file_label, receipt_key,\\n   359|                        source_row_or_range, item_name, quantity, is_promotion, amount_original,\\n   360|                        currency_original, raw_fingerprint, created_at\\n   361|                    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, 'CHF', ?, ?)\\n   362|                    \\\"\\\"\\\",\\n   363|                    (\\\"bline_\\\" + _fingerprint([source_file_label, key, idx]), candidate_id, source_file_label, key, f\\\"R{idx}\\\", str(low.get(\\\"artikel\\\") or low.get(\\\"article\\\") or \\\"\\\").strip(), str(low.get(\\\"menge\\\") or low.get(\\\"quantity\\\") or \\\"\\\").strip() or None, 1 if _normalise(low.get(\\\"aktion\\\") or \\\"\\\") in {\\\"1\\\", \\\"true\\\", \\\"ja\\\", \\\"yes\\\"} else 0, item_amount, _fingerprint([source_file_label, idx, raw]), ts),\\n   364|                )\\n   365|                line_count += 1\\n   366|    conn.commit()\\n   367|    return {\\\"receipt_candidate_count\\\": created, \\\"candidate_count\\\": created, \\\"line_item_count\\\": line_count, \\\"auto_assigned_count\\\": auto, \\\"review_required_count\\\": review, \\\"ignored_count\\\": ignored}\\n   368|\\n   369|\\n   370|def preview_migros_receipts_2026(conn: Connection, *, year: str = \\\"2026\\\") -> dict[str, Any]:\\n   371|    rows = conn.execute(\\n   372|        \\\"\\\"\\\"\\n   373|        SELECT status, COUNT(*) AS count\\n   374|        FROM budget_transaction_candidates\\n   375|        WHERE source_type='migros_receipt' AND substr(COALESCE(transaction_date,''),1,4)=?\\n   376|        GROUP BY status\\n   377|        \\\"\\\"\\\",\\n   378|        (year,),\\n   379|    ).fetchall()\\n   380|    by_status = {str(r[\\\"status\\\"]): int(r[\\\"count\\\"] or 0) for r in rows}\\n   381|    receipt_total = sum(by_status.values())\\n   382|    confirmed = by_status.get(\\\"confirmed\\\", 0)\\n   383|    open_count = sum(count for status, count in by_status.items() if status not in {\\\"confirmed\\\", \\\"ignored\\\", \\\"superseded\\\", \\\"reference_2025\\\", \\\"archived_reference\\\"})\\n   384|    covered = conn.execute(\\n   385|        \\\"\\\"\\\"\\n   386|        SELECT COUNT(*) FROM budget_transaction_candidates\\n   387|        WHERE status='covered_by_migros' AND substr(COALESCE(transaction_date,''),1,4)=?\\n   388|        \\\"\\\"\\\",\\n   389|        (year,),\\n   390|    ).fetchone()[0]\\n   391|    line_items = conn.execute(\\n   392|        \\\"\\\"\\\"\\n   393|        SELECT COUNT(*)\\n   394|        FROM budget_import_line_items li\\n   395|        JOIN budget_transaction_candidates c ON c.transaction_candidate_id=li.transaction_candidate_id\\n   396|        WHERE c.source_type='migros_receipt' AND substr(COALESCE(c.transaction_date,''),1,4)=?\\n   397|        \\\"\\\"\\\",\\n   398|        (year,),\\n   399|    ).fetchone()[0]\\n   400|    article_candidates = conn.execute(\\n   401|        \\\"\\\"\\\"\\n   402|        SELECT COUNT(*) FROM budget_transaction_candidates\\n   403|        WHERE substr(COALESCE(transaction_date,''),1,4)=?\\n   404|          AND (lower(COALESCE(source_file_label,'')) LIKE '%migros%' OR lower(COALESCE(source_file_label,'')) LIKE '%cumulus%')\\n   405|          AND COALESCE(source_type,'') NOT IN ('migros_receipt')\\n   406|          AND status NOT IN ('superseded','ignored','reference_2025','archived_reference')\\n   407|        \\\"\\\"\\\",\\n   408|        (year,),\\n   409|    ).fetchone()[0]\\n   410|    return {\\n   411|        \\\"year\\\": year,\\n   412|        \\\"receipt_candidate_count\\\": receipt_total,\\n   413|        \\\"confirmed_receipt_count\\\": confirmed,\\n   414|        \\\"open_receipt_count\\\": open_count,\\n   415|        \\\"covered_by_migros_count\\\": int(covered or 0),\\n   416|        \\\"line_item_count\\\": int(line_items or 0),\\n   417|        \\\"article_candidate_count\\\": int(article_candidates or 0),\\n   418|        \\\"status_counts\\\": by_status,\\n   419|        \\\"dry_run\\\": True,\\n   420|    }\\n   421|\\n   422|\\n   423|def confirm_migros_receipts_2026(conn: Connection, *, account_id: str, year: str = \\\"2026\\\") -> dict[str, Any]:\\n   424|    if not account_id:\\n   425|        raise HTTPException(status_code=422, detail=\\\"account_id required\\\")\\n   426|    category_id, category_name = _category_id_name(conn, \\\"Essen & Haushalt\\\")\\n   427|    if not category_id:\\n   428|        raise HTTPException(status_code=422, detail=\\\"Essen & Haushalt category required\\\")\\n   429|    rows = conn.execute(\\n   430|        \\\"\\\"\\\"\\n   431|        SELECT * FROM budget_transaction_candidates\\n   432|        WHERE source_type='migros_receipt' AND substr(COALESCE(transaction_date,''),1,4)=?\\n   433|          AND status NOT IN ('confirmed','ignored','covered_by_migros','superseded','reference_2025','archived_reference')\\n   434|        ORDER BY transaction_date, created_at\\n   435|        \\\"\\\"\\\",\\n   436|        (year,),\\n   437|    ).fetchall()\\n   438|    ts = now()\\n   439|    confirmed = skipped = 0\\n   440|    errors: list[dict[str, str]] = []\\n   441|    for row in rows:\\n   442|        cid = str(row[\\\"transaction_candidate_id\\\"])\\n   443|        try:\\n   444|            conn.execute(\\n   445|                \\\"\\\"\\\"\\n   446|                UPDATE budget_transaction_candidates\\n   447|                SET proposed_category_id=?, proposed_category_name=?, confidence='0.98', requires_review=0,\\n   448|                    status='auto_categorized', classification='migros_receipt_food_household',\\n   449|                    review_reason='migros_receipt_auto_food_household', rule_id='migros_receipt_food_household',\\n   450|                    rule_name='Migros Bon = Essen & Haushalt', updated_at=?\\n   451|                WHERE transaction_candidate_id=?\\n   452|                \\\"\\\"\\\",\\n   453|                (category_id, category_name, ts, cid),\\n   454|            )\\n   455|            confirm_transaction_candidate(conn, cid, {\\\"account_id\\\": account_id, \\\"category_id\\\": category_id, \\\"budget_year\\\": year})\\n   456|            confirmed += 1\\n   457|        except Exception as exc:  # keep per-candidate auditability and aggregate reporting\\n   458|            skipped += 1\\n   459|            errors.append({\\\"candidate_id\\\": cid, \\\"error\\\": str(getattr(exc, \\\"detail\\\", str(exc)))})\\n   460|    audit_id = record_audit_event(\\n   461|        conn,\\n   462|        source=\\\"budget_phase111_migros\\\",\\n   463|        action=\\\"migros_receipts_2026_confirmed\\\",\\n   464|        entity_type=\\\"budget_transaction_candidate\\\",\\n   465|        entity_id=f\\\"migros:{year}\\\",\\n   466|        new_values={\\\"confirmed_count\\\": confirmed, \\\"skipped_count\\\": skipped, \\\"error_count\\\": len(errors), \\\"line_item_transaction_count\\\": 0},\\n   467|        created_by=\\\"agent\\\",\\n   468|    )\\n   469|    conn.commit()\\n   470|    return {\\\"year\\\": year, \\\"confirmed_count\\\": confirmed, \\\"skipped_count\\\": skipped, \\\"errors\\\": errors, \\\"line_item_transaction_count\\\": 0, \\\"audit_id\\\": audit_id}\\n   471|\\n   472|\\n   473|def _matches_any(text: str, patterns: list[str]) -> bool:\\n   474|    hay = _normalise(text)\\n   475|    return any(_normalise(p) in hay for p in patterns)\\n   476|\\n   477|\\n   478|PHASE16_RULES: list[dict[str, Any]] = [\\n   479|    {\\\"id\\\": \\\"p16_food_supermarket\\\", \\\"name\\\": \\\"Essen & Haushalt · Supermarkt/Lebensmittel\\\", \\\"category\\\": \\\"Essen & Haushalt\\\", \\\"classification\\\": \\\"food_household\\\", \\\"confidence\\\": \\\"0.88\\\", \\\"patterns\\\": [\\\"Migros\\\", \\\"Coop\\\", \\\"ALDI SUISSE\\\", \\\"Lidl\\\", \\\"Denner\\\", \\\"Volg\\\", \\\"Schmidt's Märkte\\\", \\\"SPAR\\\", \\\"Yavuz Market\\\", \\\"Supermercato Dpiu\\\"]},\\n   480|    {\\\"id\\\": \\\"p16_food_convenience\\\", \\\"name\\\": \\\"Essen & Haushalt · Convenience/Kiosk\\\", \\\"category\\\": \\\"Essen & Haushalt\\\", \\\"classification\\\": \\\"food_household\\\", \\\"confidence\\\": \\\"0.84\\\", \\\"patterns\\\": [\\\"Migrolino\\\", \\\"Coop Pronto\\\", \\\"Coop Vitality\\\", \\\"Avec\\\", \\\"K Kiosk\\\", \\\"Sonneland Kiosk\\\"]},\\n   481|    {\\\"id\\\": \\\"p16_food_restaurant\\\", \\\"name\\\": \\\"Essen & Haushalt · Restaurant/Takeaway\\\", \\\"category\\\": \\\"Essen & Haushalt\\\", \\\"classification\\\": \\\"food_household\\\", \\\"confidence\\\": \\\"0.82\\\", \\\"patterns\\\": [\\\"McDonald's\\\", \\\"Burger King\\\", \\\"Holy Cow\\\", \\\"Subway\\\", \\\"Brezelkönig\\\", \\\"Dunkin\\\", \\\"Restaurant Smiling Fish\\\", \\\"Restaurant Aquarena\\\", \\\"FELFEL AG\\\", \\\"Just Eat\\\", \\\"PostFinance Restaurant W\\\", \\\"Erne Chuchi\\\", \\\"DORY & DU\\\", \\\"Marche Burger\\\", \\\"Ristorante Sale e Pepe\\\", \\\"Marché Restaurants\\\", \\\"Herrlisberg Gran Bar\\\", \\\"Restaurant Pantanal\\\", \\\"Ristorante Pizzeria La Pa\\\", \\\"Mammami\\\", \\\"Restaurant Zoologischer G\\\", \\\"Restaurant Big Sterne\\\", \\\"Artigiano Pizzeria Nap\\\", \\\"Restaurant Waldkantine\\\", \\\"Restaurant Tannegg\\\", \\\"Gasthaus Felsgarten\\\", \\\"Lenzo Palace\\\", \\\"kunz AG art of sweets\\\", \\\"Spezialitäten-Metzgerei Bechinger\\\", \\\"Müller Drogeriemarkt\\\", \\\"Sonneland AG Shop\\\", \\\"Sportcenter Bustelbach\\\"]},\\n   482|    {\\\"id\\\": \\\"p16_home_garden\\\", \\\"name\\\": \\\"Hausrat / Möbel & Garten\\\", \\\"category\\\": \\\"Hausrat / Möbel & Garten\\\", \\\"classification\\\": \\\"home_garden\\\", \\\"confidence\\\": \\\"0.86\\\", \\\"patterns\\\": [\\\"IKEA\\\", \\\"Möbelmarkt Dogern\\\", \\\"JUMBO\\\", \\\"Boni-Shop\\\", \\\"Landi\\\", \\\"Zulauf Gartencenter\\\", \\\"Grillfurst Schweiz GmbH\\\"]},\\n   483|    {\\\"id\\\": \\\"p16_leisure_subscriptions\\\", \\\"name\\\": \\\"Freizeit / Ausflüge / Abos\\\", \\\"category\\\": \\\"Freizeit / Ausflüge / Abos\\\", \\\"classification\\\": \\\"subscription_auto\\\", \\\"confidence\\\": \\\"0.90\\\", \\\"patterns\\\": [\\\"Apple\\\", \\\"Apple.com\\\", \\\"Google\\\", \\\"Amazon Prime\\\", \\\"Netflix\\\", \\\"Disney\\\", \\\"Disney Plus\\\", \\\"Disney Streaming\\\", \\\"DisneyPlus\\\", \\\"Paramount+\\\", \\\"Prime Video CH\\\", \\\"Babbel\\\", \\\"OpenAI\\\", \\\"ChatGPT\\\", \\\"Europa-Park\\\", \\\"Knie's Kinderzoo\\\", \\\"Zoo Zürich\\\", \\\"Zoo Basel\\\", \\\"Zoo Hasel\\\", \\\"Technorama\\\", \\\"Legionarspfad\\\", \\\"Bad Schinznach\\\", \\\"aquabasilea\\\", \\\"Thermalbad Zurzach\\\", \\\"Alpamare\\\", \\\"sole uno\\\", \\\"Thermalquelle\\\", \\\"Kurhotel im Park\\\", \\\"Kraftreaktor\\\", \\\"Seilbahn Weissenstein\\\", \\\"Grand Casino Baden\\\", \\\"Pathé\\\", \\\"Cinema Excelsior\\\", \\\"Koi-Breeder\\\", \\\"OTT-Feuerwerk\\\"]},\\n   484|    {\\\"id\\\": \\\"p16_health_medical\\\", \\\"name\\\": \\\"Gesundheit / Medizin\\\", \\\"category\\\": \\\"Gesundheit / Medizin\\\", \\\"classification\\\": \\\"health_medical\\\", \\\"confidence\\\": \\\"0.88\\\", \\\"patterns\\\": [\\\"Kantonsspital Baden\\\", \\\"KSB\\\", \\\"Universitätsspital Zürich\\\", \\\"Spital Bulach\\\", \\\"Spital Wil\\\", \\\"Apotheke Suessbach\\\", \\\"Vindonissa Rotpunkt\\\", \\\"Loewen Apotheke Frick\\\", \\\"Rotpunkt Apotheken\\\", \\\"Storchen Apotheke\\\", \\\"Apotheke Tag\\\", \\\"Analytica Med\\\", \\\"Laboratori\\\", \\\"Stiftung Gesundheit\\\", \\\"iHerb\\\"]},\\n   485|    {\\\"id\\\": \\\"p16_auto_transport\\\", \\\"name\\\": \\\"Auto / Transport\\\", \\\"category\\\": \\\"Auto / Transport\\\", \\\"classification\\\": \\\"auto_transport\\\", \\\"confidence\\\": \\\"0.87\\\", \\\"patterns\\\": [\\\"Agrola\\\", \\\"Migrol\\\", \\\"Tamoil\\\", \\\"AVIA\\\", \\\"Esso\\\", \\\"Royal Dutch Shell\\\", \\\"Shell\\\", \\\"Voegtlin-Meyer\\\", \\\"Tankstelle Gebr. Knecht\\\", \\\"Tank-Rastanlage Neckarbur\\\", \\\"Spital Bulach - Parking\\\", \\\"ParkplatzAnnerstrasse\\\", \\\"Parkplatz Rosengarten\\\", \\\"City Parkhaus Zürich\\\", \\\"Parkhaus Trafo Baden\\\", \\\"EasyPark\\\", \\\"Eisi Parkhaus\\\", \\\"Parkhaus Messe Zürich\\\", \\\"Parking Gais-Center\\\", \\\"Mobility Hub Parkservice\\\", \\\"Parkingpay\\\", \\\"SBB CFF FFS\\\", \\\"SBB P+Rail Turgi\\\", \\\"Flughafen Zürich\\\", \\\"Palma de Mallorca Airport\\\", \\\"Volvo Car Corporation\\\"]},\\n   486|    {\\\"id\\\": \\\"p16_shopping\\\", \\\"name\\\": \\\"Shopping / Kleidung & Elektronik\\\", \\\"category\\\": \\\"Shopping / Kleidung & Elektronik\\\", \\\"classification\\\": \\\"shopping\\\", \\\"confidence\\\": \\\"0.84\\\", \\\"patterns\\\": [\\\"Apfelkiste\\\", \\\"Apple\\\", \\\"MediaMarkt\\\", \\\"H&M\\\", \\\"C&A\\\", \\\"VAN GRAAF\\\", \\\"Claire's\\\", \\\"Dosenbach\\\", \\\"Vero Moda\\\", \\\"OLYMP Digital\\\", \\\"Decathlon\\\", \\\"Smyths Toys\\\", \\\"AliExpress\\\"]},\\n   487|    {\\\"id\\\": \\\"p16_pets\\\", \\\"name\\\": \\\"Haustiere\\\", \\\"category\\\": \\\"Haustiere\\\", \\\"classification\\\": \\\"pets\\\", \\\"confidence\\\": \\\"0.89\\\", \\\"patterns\\\": [\\\"QUALIPET\\\", \\\"Fressnapf\\\", \\\"Kleintierpraxis Tim\\\"]},\\n   488|    {\\\"id\\\": \\\"p16_admin_other\\\", \\\"name\\\": \\\"Sonstiges / Administration\\\", \\\"category\\\": \\\"Sonstiges / Administration\\\", \\\"classification\\\": \\\"admin_other\\\", \\\"confidence\\\": \\\"0.76\\\", \\\"patterns\\\": [\\\"Finanzverw.des Kt Schaffh\\\", \\\"Gemeinde Windisch\\\", \\\"Gemeindeverw. Spreitenbac\\\", \\\"Regionalpolizei Brugg\\\", \\\"Dropbox\\\", \\\"Norton\\\", \\\"2CO.COM\\\", \\\"BITDEFENDER\\\", \\\"Bitdefender\\\", \\\"Alpha Progression\\\", \\\"Solar Manager AG\\\", \\\"TradingView\\\", \\\"Ricardo\\\", \\\"Beck-Mobile\\\", \\\"Eventlogistik-Armyliq\\\", \\\"Payment Solution & Servic\\\", \\\"SegPay.com\\\", \\\"Sami International\\\"]},\\n   489|]\\n   490|\\n   491|GALAXUS_DIGITEC_RULE = {\\\"id\\\": \\\"p16_galaxus_digitec_review\\\", \\\"name\\\": \\\"Galaxus/Digitec manuell prüfen oder splitten\\\", \\\"category\\\": \\\"Shopping / Kleidung & Elektronik\\\", \\\"classification\\\": \\\"galaxus_review\\\", \\\"confidence\\\": \\\"0.72\\\", \\\"patterns\\\": [\\\"Digitec Galaxus AG\\\", \\\"Galaxus\\\", \\\"Digitec\\\"]}\\n   492|\\n   493|\\n   494|def _is_primary_migros_card_text(text: str) -> bool:\\n   495|    hay = _normalise(text)\\n   496|    if \\\"migrol\\\" in hay:\\n   497|        return False\\n   498|    return any(p in hay for p in [\\\"migros\\\", \\\"cumulus\\\", \\\"mmm \\\"])\\n   499|\\n   500|\\n   501|def _phase16_match(text: str) -> dict[str, Any] | None:\\n   502|    if _matches_any(text, GALAXUS_DIGITEC_RULE[\\\"patterns\\\"]):\\n   503|        return GALAXUS_DIGITEC_RULE\\n   504|    for rule in PHASE16_RULES:\\n   505|        if _matches_any(text, rule[\\\"patterns\\\"]):\\n   506|            return rule\\n   507|    return None\\n   508|\\n   509|\\n   510|def _category_id_name(conn: Connection, name: str) -> tuple[str | None, str]:\\n   511|    row = conn.execute(\\\"SELECT category_id, name FROM budget_categories WHERE is_active=1 AND lower(name)=lower(?) ORDER BY sort_order LIMIT 1\\\", (name,)).fetchone()\\n   512|    if row:\\n   513|        return str(row[\\\"category_id\\\"]), str(row[\\\"name\\\"])\\n   514|    cid, cname = _category_by_name(conn, [name])\\n   515|    return cid, cname or name\\n   516|\\n   517|\\n   518|def apply_user_budget_rules_to_candidates(conn: Connection, *, year: str = \\\"2026\\\") -> dict[str, int]:\\n   519|    rows = conn.execute(\\n   520|        \\\"\\\"\\\"\\n   521|        SELECT * FROM budget_transaction_candidates\\n   522|        WHERE substr(COALESCE(transaction_date,''),1,4)=?\\n   523|          AND source_type IN ('credit_card_csv','migros_receipt')\\n   524|          AND status NOT IN ('confirmed','ignored','superseded')\\n   525|        ORDER BY created_at\\n   526|        \\\"\\\"\\\",\\n   527|        (year,),\\n   528|    ).fetchall()\\n   529|    counts = {\\n   530|        \\\"candidate_total\\\": 0, \\\"auto_categorized_count\\\": 0, \\\"review_required_count\\\": 0,\\n   531|        \\\"galaxus_digitec_review_count\\\": 0, \\\"covered_by_migros_count\\\": 0,\\n   532|        \\\"migros_under_50_count\\\": 0, \\\"migros_over_50_count\\\": 0, \\\"subscription_count\\\": 0,\\n   533|        \\\"health_medical_count\\\": 0, \\\"auto_transport_count\\\": 0, \\\"shopping_count\\\": 0,\\n   534|        \\\"pets_count\\\": 0, \\\"admin_other_count\\\": 0, \\\"unclear_count\\\": 0,\\n   535|        \\\"productive_confirmed_count\\\": 0,\\n   536|    }\\n   537|    changed = 0\\n   538|    ts = now()\\n   539|    for row in rows:\\n   540|        counts[\\\"candidate_total\\\"] += 1\\n   541|        desc = f\\\"{row['merchant'] or ''} {row['description'] or ''}\\\"\\n   542|        source_type = row[\\\"source_type\\\"]\\n   543|        status = \\\"needs_review\\\"; requires_review = 1; category_id = None; category_name = None\\n   544|        confidence = \\\"0.35\\\"; classification = \\\"unclear\\\"; review_reason = \\\"Keine sichere Regel gefunden\\\"; rule_id = \\\"p16_unclear\\\"; rule_name = \\\"Unklar · manuelle Prüfung\\\"; covered_by = None\\n   545|        if source_type == \\\"credit_card_csv\\\" and _is_primary_migros_card_text(desc):\\n   546|            status = \\\"covered_by_migros\\\"; requires_review = 0; confidence = \\\"0.96\\\"; classification = \\\"covered_by_migros\\\"\\n   547|            review_reason = \\\"Migros-CSV ist primäre Quelle für Migros-Ausgaben\\\"; rule_id = \\\"p16_card_migros_covered\\\"; rule_name = \\\"Kreditkarten-Migros durch Migros-CSV abgedeckt\\\"; covered_by = \\\"migros_csv\\\"\\n   548|            counts[\\\"covered_by_migros_count\\\"] += 1\\n   549|        elif source_type == \\\"migros_receipt\\\":\\n   550|            category_id, category_name = _category_id_name(conn, \\\"Essen & Haushalt\\\")\\n   551|            classification = \\\"migros_receipt_food_household\\\"\\n   552|            confidence = \\\"0.98\\\"\\n   553|            rule_id = \\\"migros_receipt_food_household\\\"\\n   554|            rule_name = \\\"Migros Bon = Essen & Haushalt\\\"\\n   555|            review_reason = \\\"Migros Bon automatisch Essen & Haushalt; Artikelzeilen bleiben Detaildaten\\\"\\n   556|            status = \\\"auto_categorized\\\"\\n   557|            requires_review = 0\\n   558|            counts[\\\"migros_under_50_count\\\"] += 1\\n   559|        else:\\n   560|            rule = _phase16_match(desc)\\n   561|            if rule:\\n   562|                category_id, category_name = _category_id_name(conn, str(rule[\\\"category\\\"]))\\n   563|                classification = str(rule[\\\"classification\\\"]); confidence = str(rule[\\\"confidence\\\"]); rule_id = str(rule[\\\"id\\\"]); rule_name = str(rule[\\\"name\\\"])\\n   564|                if rule is GALAXUS_DIGITEC_RULE:\\n   565|                    status = \\\"needs_review\\\"; requires_review = 1; review_reason = \\\"Galaxus/Digitec bitte manuell prüfen oder splitten\\\"; counts[\\\"galaxus_digitec_review_count\\\"] += 1\\n   566|                elif classification == \\\"admin_other\\\" and Decimal(confidence) < Decimal(\\\"0.80\\\"):\\n   567|                    status = \\\"needs_review\\\"; requires_review = 1; review_reason = \\\"Sonstiges/Administration eher manuell prüfen\\\"\\n   568|                else:\\n   569|                    status = \\\"auto_categorized\\\"; requires_review = 0; review_reason = f\\\"Automatischer Vorschlag nach Nutzerregel: {rule_name}\\\"\\n   570|                if classification == \\\"subscription_auto\\\": counts[\\\"subscription_count\\\"] += 1\\n   571|                if classification == \\\"health_medical\\\": counts[\\\"health_medical_count\\\"] += 1\\n   572|                if classification == \\\"auto_transport\\\": counts[\\\"auto_transport_count\\\"] += 1\\n   573|                if classification == \\\"shopping\\\": counts[\\\"shopping_count\\\"] += 1\\n   574|                if classification == \\\"pets\\\": counts[\\\"pets_count\\\"] += 1\\n   575|                if classification == \\\"admin_other\\\": counts[\\\"admin_other_count\\\"] += 1\\n   576|            else:\\n   577|                counts[\\\"unclear_count\\\"] += 1\\n   578|        if status == \\\"auto_categorized\\\":\\n   579|            counts[\\\"auto_categorized_count\\\"] += 1\\n   580|        if requires_review:\\n   581|            counts[\\\"review_required_count\\\"] += 1\\n   582|        conn.execute(\\n   583|            \\\"\\\"\\\"\\n   584|            UPDATE budget_transaction_candidates\\n   585|            SET proposed_category_id=?, proposed_category_name=?, confidence=?, requires_review=?, status=?,\\n   586|                classification=?, review_reason=?, rule_id=?, rule_name=?, covered_by_source=?, updated_at=?\\n   587|            WHERE transaction_candidate_id=?\\n   588|            \\\"\\\"\\\",\\n   589|            (category_id, category_name, confidence, requires_review, status, classification, review_reason, rule_id, rule_name, covered_by, ts, row[\\\"transaction_candidate_id\\\"]),\\n   590|        )\\n   591|        changed += 1\\n   592|    audit_id = record_audit_event(conn, source=\\\"budget_phase16_rules\\\", action=\\\"apply_user_budget_rules\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=f\\\"year:{year}\\\", new_values=counts | {\\\"changed_count\\\": changed}, created_by=\\\"agent\\\")\\n   593|    conn.commit()\\n   594|    counts[\\\"audit_id\\\"] = audit_id  # type: ignore[assignment]\\n   595|    return counts\\n   596|\\n   597|\\n   598|def seed_credit_card_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]], *, source_file_label: str, subscription_category_id: str | None = None, migros_covered: bool = True, candidate_source_type: str = \\\"credit_card_csv\\\") -> dict[str, int]:\\n   599|    sub_name = _category_name(conn, subscription_category_id)\\n   600|    created = subs = galaxus = covered = dup_count = review = ignored = 0\\n   601|    for idx, raw in enumerate(rows, start=1):\\n   602|        low = {_normalise(k): v for k, v in raw.items()}\\n   603|        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"merchant\\\") or low.get(\\\"merchantname\\\") or low.get(\\\"details\\\") or \\\"\\\").strip()\\n   604|        tx_date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\") or low.get(\\\"buchungsdatum\\\"))\\n   605|        amount = _decimal_text(low.get(\\\"betrag\\\") or low.get(\\\"amount\\\") or low.get(\\\"umsatz\\\"))\\n   606|        if not desc or not amount:\\n   607|            ignored += 1; continue\\n   608|        is_sub = _matches_any(desc, SUBSCRIPTION_PATTERNS)\\n   609|        is_galaxus = _matches_any(desc, GALAXUS_PATTERNS)\\n   610|        is_migros = _matches_any(desc, MIGROS_PATTERNS)\\n   611|        dup = _duplicate_of(conn, tx_date, amount, desc)\\n   612|        status = \\\"pending\\\"; needs_review = False; category_id = None; category_name = None; classification = \\\"card_uncategorized\\\"; reason = \\\"card_review\\\"; conf = \\\"0.40\\\"; covered_by = None\\n   613|        if is_sub:\\n   614|            category_id = subscription_category_id; category_name = sub_name; classification = \\\"subscription_auto\\\"; reason = \\\"subscription_merchant_rule\\\"; conf = \\\"0.90\\\"; subs += 1\\n   615|        if is_migros and migros_covered:\\n   616|            status = \\\"covered_by_migros\\\"; needs_review = False; classification = \\\"covered_by_migros\\\"; reason = \\\"credit_card_migros_covered_by_migros\\\"; conf = \\\"0.95\\\"; covered_by = \\\"migros_csv\\\"\\n   617|            covered += 1\\n   618|        elif dup:\\n   619|            status = \\\"duplicate\\\"; needs_review = True; reason = \\\"matched_existing_transaction\\\"; dup_count += 1\\n   620|        elif is_galaxus:\\n   621|            status = \\\"needs_review\\\"; needs_review = True; classification = \\\"galaxus_review\\\"; reason = \\\"galaxus_requires_user_category_or_split\\\"; conf = \\\"0.70\\\"; galaxus += 1; review += 1\\n   622|        else:\\n   623|            status = \\\"needs_review\\\"; needs_review = True; review += 1\\n   624|        ts = now(); row_ref = f\\\"R{idx}\\\"\\n   625|        if _insert_candidate(conn, {\\n   626|            \\\"transaction_candidate_id\\\": \\\"btxcand_\\\" + _candidate_key(source_file_label, row_ref, tx_date, amount, desc),\\n   627|            \\\"source_file_label\\\": source_file_label, \\\"source_row_or_range\\\": row_ref, \\\"source_type\\\": candidate_source_type,\\n   628|            \\\"transaction_date\\\": tx_date, \\\"description\\\": desc[:300], \\\"merchant\\\": desc[:120], \\\"amount_original\\\": amount, \\\"currency_original\\\": \\\"CHF\\\",\\n   629|            \\\"proposed_category_id\\\": category_id, \\\"proposed_category_name\\\": category_name, \\\"duplicate_of_transaction_id\\\": dup,\\n   630|            \\\"confidence\\\": conf, \\\"requires_review\\\": needs_review, \\\"status\\\": status, \\\"notes\\\": reason,\\n   631|            \\\"classification\\\": classification, \\\"review_reason\\\": reason, \\\"rule_id\\\": classification, \\\"source_priority\\\": 70,\\n   632|            \\\"covered_by_source\\\": covered_by, \\\"raw_fingerprint\\\": _fingerprint([source_file_label, row_ref, tx_date, amount, desc]), \\\"created_at\\\": ts, \\\"updated_at\\\": ts,\\n   633|        }):\\n   634|            created += 1\\n   635|    conn.commit()\\n   636|    return {\\\"candidate_count\\\": created, \\\"subscription_auto_count\\\": subs, \\\"galaxus_review_count\\\": galaxus, \\\"covered_by_migros_count\\\": covered, \\\"possible_duplicate_count\\\": dup_count, \\\"review_required_count\\\": review, \\\"ignored_count\\\": ignored}\\n   637|\\n   638|\\n   639|@dataclass\\n   640|class _BankRow:\\n   641|    idx: int\\n   642|    date: str | None\\n   643|    desc: str\\n   644|    amount_abs: str\\n   645|    amount_signed: Decimal\\n   646|    account: str | None\\n   647|\\n   648|\\n   649|def _bank_rows(rows: list[dict[str, Any]]) -> list[_BankRow]:\\n   650|    parsed = []\\n   651|    for idx, raw in enumerate(rows, start=1):\\n   652|        low = {_normalise(k): v for k, v in raw.items()}\\n   653|        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"buchungstext\\\") or low.get(\\\"name\\\") or \\\"\\\").strip()\\n   654|        date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\") or low.get(\\\"buchungsdatum\\\") or low.get(\\\"booked at\\\") or low.get(\\\"buchung\\\") or low.get(\\\"valuta date\\\") or low.get(\\\"valuta\\\"))\\n   655|        signed = _signed_decimal(low.get(\\\"betrag\\\") or low.get(\\\"amount\\\") or low.get(\\\"umsatz\\\") or low.get(\\\"credit/debit amount\\\"))\\n   656|        if signed is None:\\n   657|            debit = _signed_decimal(low.get(\\\"belastung\\\"))\\n   658|            credit = _signed_decimal(low.get(\\\"gutschrift\\\"))\\n   659|            if credit is not None:\\n   660|                signed = credit\\n   661|            elif debit is not None:\\n   662|                signed = -abs(debit)\\n   663|        if not desc or signed is None:\\n   664|            continue\\n   665|        parsed.append(_BankRow(idx, date, desc, format(abs(signed), \\\"f\\\"), signed, str(low.get(\\\"konto\\\") or low.get(\\\"account\\\") or low.get(\\\"iban\\\") or \\\"\\\").strip() or None))\\n   666|    return parsed\\n   667|\\n   668|\\n   669|def _find_transfer_indices(rows: list[_BankRow]) -> set[int]:\\n   670|    indices: set[int] = set()\\n   671|    for i, left in enumerate(rows):\\n   672|        for right in rows[i + 1:]:\\n   673|            if left.amount_abs != right.amount_abs or left.amount_signed * right.amount_signed >= 0:\\n   674|                continue\\n   675|            if left.date and right.date:\\n   676|                d1 = datetime.fromisoformat(left.date); d2 = datetime.fromisoformat(right.date)\\n   677|                if abs((d1 - d2).days) > 3:\\n   678|                    continue\\n   679|            joined = f\\\"{left.desc} {right.desc} {left.account or ''} {right.account or ''}\\\"\\n   680|            if _matches_any(joined, TRANSFER_PATTERNS):\\n   681|                indices.add(left.idx); indices.add(right.idx)\\n   682|    return indices\\n   683|\\n   684|\\n   685|def seed_bank_transfer_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]], *, source_file_label: str, income_category_id: str | None = None, candidate_source_type: str = \\\"bank_csv\\\") -> dict[str, int]:\\n   686|    parsed = _bank_rows(rows)\\n   687|    transfer_indices = _find_transfer_indices(parsed)\\n   688|    income_name = _category_name(conn, income_category_id)\\n   689|    created = income = transfer = review = dup_count = investment_transfer = credit_card_payment = 0\\n   690|    for br in parsed:\\n   691|        dup = _duplicate_of(conn, br.date, br.amount_abs, br.desc)\\n   692|        category_id = None; category_name = None; status = \\\"needs_review\\\"; needs_review = True; classification = \\\"bank_review\\\"; reason = \\\"bank_payment_unclear\\\"; tx_type = \\\"expense\\\" if br.amount_signed < 0 else \\\"income\\\"; conf = \\\"0.50\\\"\\n   693|        if _matches_any(br.desc, [\\\"TRUE WEALTH\\\", \\\"TRUEWEALTH\\\"]):\\n   694|            status = \\\"transfer_candidate\\\"; needs_review = True; classification = \\\"investment_transfer\\\"; reason = \\\"true_wealth_investment_transfer\\\"; tx_type = \\\"transfer\\\"; conf = \\\"0.90\\\"; transfer += 1; investment_transfer += 1\\n   695|        elif _matches_any(br.desc, [\\\"VISA\\\", \\\"KREDITKARTE\\\", \\\"KARTENABRECHNUNG\\\", \\\"CREDIT CARD\\\"]):\\n   696|            status = \\\"transfer_candidate\\\"; needs_review = True; classification = \\\"credit_card_payment\\\"; reason = \\\"credit_card_payment_avoids_double_counting\\\"; tx_type = \\\"transfer\\\"; conf = \\\"0.90\\\"; transfer += 1; credit_card_payment += 1\\n   697|        elif br.amount_signed > 0 and _matches_any(br.desc, INCOME_PATTERNS + [\\\"GRATIFIKATION\\\", \\\"BONUS\\\", \\\"RUECKERSTATTUNG\\\", \\\"RÜCKERSTATTUNG\\\"]):\\n   698|            category_id = income_category_id; category_name = income_name; status = \\\"pending\\\"; needs_review = False; classification = \\\"income_candidate\\\"; reason = \\\"income_pattern\\\"; tx_type = \\\"income\\\"; conf = \\\"0.85\\\"; income += 1\\n   699|        elif br.idx in transfer_indices or _matches_any(br.desc, TRANSFER_PATTERNS):\\n   700|            status = \\\"transfer_candidate\\\"; needs_review = True; classification = \\\"transfer_candidate\\\"; reason = \\\"possible_internal_transfer\\\"; tx_type = \\\"transfer\\\"; conf = \\\"0.85\\\"; transfer += 1\\n   701|\", \"total_lines\": 1395, \"file_size\": 95245, \"truncated\": true, \"hint\": \"Use offset=701 to continue reading (showing 1-700 of 1395 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_L6tr60LVDJJA0K2ZNX0sXU0h"
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            "name": "read_file",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\",\"offset\":900,\"limit\":360}"
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      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"   900|    conn.execute(\\\"UPDATE budget_transaction_candidates SET requires_review=1, status='needs_review', review_reason='split_pending_confirm', updated_at=? WHERE transaction_candidate_id=?\\\", (ts, candidate_id))\\n   901|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"split\\\", entity_type=\\\"budget_transaction_candidate_split\\\", entity_id=candidate_id, new_values={\\\"split_count\\\": len(splits)}, created_by=\\\"user\\\")\\n   902|    conn.commit()\\n   903|    return {\\\"status\\\": \\\"split_created\\\", \\\"entity_id\\\": candidate_id, \\\"split_count\\\": len(splits), \\\"audit_id\\\": audit_id}\\n   904|\\n   905|\\n   906|def mark_candidate_type(conn: Connection, candidate_id: str, candidate_type: str, note: str | None = None) -> dict[str, Any]:\\n   907|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   908|    if not row:\\n   909|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   910|    allowed = {\\n   911|        \\\"transfer\\\": (\\\"transfer_candidate\\\", \\\"transfer_candidate\\\", \\\"user_marked_transfer\\\", \\\"mark_transfer\\\"),\\n   912|        \\\"investment_transfer\\\": (\\\"transfer_candidate\\\", \\\"investment_transfer\\\", \\\"user_marked_investment_transfer\\\", \\\"mark_investment_transfer\\\"),\\n   913|        \\\"credit_card_payment\\\": (\\\"transfer_candidate\\\", \\\"credit_card_payment\\\", \\\"user_marked_credit_card_payment\\\", \\\"mark_credit_card_payment\\\"),\\n   914|    }\\n   915|    if candidate_type not in allowed:\\n   916|        raise HTTPException(status_code=422, detail=\\\"unsupported candidate type\\\")\\n   917|    status, classification, reason, action = allowed[candidate_type]\\n   918|    ts = now()\\n   919|    conn.execute(\\\"UPDATE budget_transaction_candidates SET status=?, classification=?, requires_review=1, review_reason=?, notes=COALESCE(?, notes), updated_at=? WHERE transaction_candidate_id=?\\\", (status, classification, reason, note, ts, candidate_id))\\n   920|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=action, entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values={\\\"status\\\": row[\\\"status\\\"], \\\"classification\\\": row[\\\"classification\\\"]}, new_values={\\\"status\\\": status, \\\"classification\\\": classification}, user_text_note=note, created_by=\\\"user\\\")\\n   921|    conn.commit()\\n   922|    return {\\\"status\\\": status, \\\"classification\\\": classification, \\\"entity_id\\\": candidate_id, \\\"audit_id\\\": audit_id}\\n   923|\\n   924|\\n   925|def mark_candidate_transfer(conn: Connection, candidate_id: str, note: str | None = None) -> dict[str, Any]:\\n   926|    return mark_candidate_type(conn, candidate_id, \\\"transfer\\\", note)\\n   927|\\n   928|\\n   929|def bulk_update_transaction_candidate_category(conn: Connection, *, candidate_ids: list[str], category_id: str, note: str | None = None) -> dict[str, int]:\\n   930|    updated = skipped = 0\\n   931|    for cid in candidate_ids:\\n   932|        row = conn.execute(\\\"SELECT status FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (cid,)).fetchone()\\n   933|        if not row or row[\\\"status\\\"] == \\\"confirmed\\\":\\n   934|            skipped += 1\\n   935|            continue\\n   936|        update_transaction_candidate_category(conn, cid, category_id, note or \\\"Bulk category assignment\\\")\\n   937|        updated += 1\\n   938|    return {\\\"updated_count\\\": updated, \\\"skipped_count\\\": skipped}\\n   939|\\n   940|\\n   941|def _safe_auto_candidate_where() -> str:\\n   942|    return \\\"\\\"\\\"\\n   943|        status IN ('pending','auto_categorized')\\n   944|        AND COALESCE(requires_review, 0)=0\\n   945|        AND duplicate_of_transaction_id IS NULL\\n   946|        AND COALESCE(covered_by_source, '')=''\\n   947|        AND (\\n   948|            classification='subscription_auto'\\n   949|            OR classification IN ('migros_auto_under_threshold','migros_receipt_food_household')\\n   950|            OR classification='auto_transport'\\n   951|        )\\n   952|        AND lower(COALESCE(description,'') || ' ' || COALESCE(merchant,'')) NOT LIKE '%galaxus%'\\n   953|        AND lower(COALESCE(description,'') || ' ' || COALESCE(merchant,'')) NOT LIKE '%digitec%'\\n   954|    \\\"\\\"\\\"\\n   955|\\n   956|\\n   957|def preview_safe_auto_candidates(conn: Connection) -> dict[str, Any]:\\n   958|    rows = conn.execute(\\n   959|        f\\\"\\\"\\\"\\n   960|        SELECT classification, COUNT(*) AS count\\n   961|        FROM budget_transaction_candidates\\n   962|        WHERE {_safe_auto_candidate_where()}\\n   963|        GROUP BY classification\\n   964|        ORDER BY classification\\n   965|        \\\"\\\"\\\"\\n   966|    ).fetchall()\\n   967|    total = sum(int(r[\\\"count\\\"] or 0) for r in rows)\\n   968|    return {\\n   969|        \\\"preview_id\\\": new_id(\\\"preview\\\"),\\n   970|        \\\"summary\\\": f\\\"{total} sichere Auto-Kandidaten bereit für Confirm\\\",\\n   971|        \\\"count\\\": total,\\n   972|        \\\"groups\\\": [row_to_dict(r) for r in rows],\\n   973|        \\\"warnings\\\": [\\\"Preview only: Confirm benötigt Zielkonto und bucht nur sichere Kandidaten.\\\"],\\n   974|    }\\n   975|\\n   976|\\n   977|def batch_confirm_safe_candidates(conn: Connection, *, account_id: str, candidate_ids: list[str] | None = None) -> dict[str, int]:\\n   978|    if not account_id:\\n   979|        raise HTTPException(status_code=422, detail=\\\"account_id required\\\")\\n   980|    allowed_rows = conn.execute(f\\\"SELECT transaction_candidate_id FROM budget_transaction_candidates WHERE {_safe_auto_candidate_where()}\\\").fetchall()\\n   981|    allowed_ids = {str(r[\\\"transaction_candidate_id\\\"]) for r in allowed_rows}\\n   982|    requested_ids = set(candidate_ids or allowed_ids)\\n   983|    confirmed = skipped = 0\\n   984|    for cid in sorted(requested_ids):\\n   985|        if cid not in allowed_ids:\\n   986|            skipped += 1\\n   987|            continue\\n   988|        confirm_transaction_candidate(conn, cid, {\\\"account_id\\\": account_id})\\n   989|        confirmed += 1\\n   990|    record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"batch_confirm_safe_candidates\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=\\\"batch\\\", new_values={\\\"confirmed_count\\\": confirmed, \\\"skipped_count\\\": skipped}, created_by=\\\"user\\\")\\n   991|    conn.commit()\\n   992|    return {\\\"confirmed_count\\\": confirmed, \\\"skipped_count\\\": skipped}\\n   993|\\n   994|\\n   995|def review_candidate_summary(conn: Connection, *, budget_year: str = \\\"2026\\\") -> dict[str, int]:\\n   996|    rows = conn.execute(\\\"SELECT status, classification, requires_review, duplicate_of_transaction_id FROM budget_transaction_candidates WHERE substr(transaction_date,1,4)=? AND status NOT IN ('confirmed','ignored','superseded','reference_2025','archived_reference')\\\", (budget_year,)).fetchall()\\n   997|    def count(pred):\\n   998|        return sum(1 for r in rows if pred(r))\\n   999|    return {\\n  1000|        \\\"open_total\\\": count(lambda r: r[\\\"status\\\"] != \\\"covered_by_migros\\\"),\\n  1001|        \\\"auto_categorized\\\": count(lambda r: r[\\\"status\\\"] in {\\\"pending\\\", \\\"auto_categorized\\\"} and not bool(r[\\\"requires_review\\\"])),\\n  1002|        \\\"review_needed\\\": count(lambda r: bool(r[\\\"requires_review\\\"])),\\n  1003|        \\\"galaxus_digitec\\\": count(lambda r: r[\\\"classification\\\"] == \\\"galaxus_review\\\"),\\n  1004|        \\\"migros_over_50\\\": count(lambda r: r[\\\"classification\\\"] == \\\"migros_review_over_threshold\\\"),\\n  1005|        \\\"covered_by_migros\\\": count(lambda r: r[\\\"status\\\"] == \\\"covered_by_migros\\\"),\\n  1006|        \\\"unclear\\\": count(lambda r: r[\\\"classification\\\"] in {\\\"admin_other\\\", \\\"unclear\\\", \\\"legacy_csv_seed\\\", \\\"card_uncategorized\\\"}),\\n  1007|        \\\"possible_duplicates\\\": count(lambda r: r[\\\"status\\\"] in {\\\"duplicate\\\", \\\"duplicate_candidate\\\"} or bool(r[\\\"duplicate_of_transaction_id\\\"])),\\n  1008|    }\\n  1009|\\n  1010|\\n  1011|def preview_batch_confirm_candidates(conn: Connection, *, candidate_ids: list[str], account_id: str, budget_year: str = \\\"2026\\\") -> dict[str, Any]:\\n  1012|    rows = []\\n  1013|    conflicts = []\\n  1014|    categories: dict[str, int] = {}\\n  1015|    for cid in candidate_ids:\\n  1016|        row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (cid,)).fetchone()\\n  1017|        if not row:\\n  1018|            conflicts.append({\\\"candidate_id\\\": cid, \\\"reason\\\": \\\"missing\\\"}); continue\\n  1019|        if row[\\\"status\\\"] in {\\\"confirmed\\\", \\\"ignored\\\", \\\"covered_by_migros\\\", \\\"covered_by_source\\\", \\\"superseded\\\", \\\"reference_2025\\\", \\\"archived_reference\\\"}:\\n  1020|            conflicts.append({\\\"candidate_id\\\": cid, \\\"reason\\\": f\\\"not_confirmable:{row['status']}\\\"}); continue\\n  1021|        if str(row[\\\"transaction_date\\\"] or \\\"\\\")[:4] != str(budget_year):\\n  1022|            conflicts.append({\\\"candidate_id\\\": cid, \\\"reason\\\": \\\"outside_active_budget_year\\\"}); continue\\n  1023|        try:\\n  1024|            preview_transaction_candidate(conn, cid, {\\\"account_id\\\": account_id, \\\"category_id\\\": row[\\\"proposed_category_id\\\"], \\\"budget_year\\\": budget_year})\\n  1025|        except Exception as exc:\\n  1026|            conflicts.append({\\\"candidate_id\\\": cid, \\\"reason\\\": str(exc)}); continue\\n  1027|        rows.append(row)\\n  1028|        categories[str(row[\\\"proposed_category_name\\\"] or \\\"Review nötig\\\")] = categories.get(str(row[\\\"proposed_category_name\\\"] or \\\"Review nötig\\\"), 0) + 1\\n  1029|    if not rows and conflicts:\\n  1030|        raise HTTPException(status_code=409, detail={\\\"message\\\": \\\"no confirmable candidates\\\", \\\"conflicts\\\": conflicts})\\n  1031|    preview_id = new_id(\\\"batchprev\\\")\\n  1032|    record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"batch_confirm_candidates_preview\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=preview_id, new_values={\\\"count\\\": len(rows), \\\"conflicts\\\": len(conflicts), \\\"categories\\\": categories}, created_by=\\\"user\\\")\\n  1033|    conn.commit()\\n  1034|    return {\\\"preview_id\\\": preview_id, \\\"count\\\": len(rows), \\\"categories\\\": categories, \\\"conflicts\\\": conflicts, \\\"requires_explicit_confirm\\\": True}\\n  1035|\\n  1036|\\n  1037|def batch_mark_candidates(conn: Connection, *, candidate_ids: list[str], action: str, account_id: str | None = None, category_id: str | None = None, preview_id: str | None = None, note: str | None = None, budget_year: str = \\\"2026\\\") -> dict[str, Any]:\\n  1038|    counts: dict[str, Any] = {\\\"updated_count\\\": 0, \\\"confirmed_count\\\": 0, \\\"ignored_count\\\": 0, \\\"reopened_count\\\": 0, \\\"transfer_count\\\": 0, \\\"covered_by_migros_count\\\": 0, \\\"skipped_count\\\": 0, \\\"errors\\\": []}\\n  1039|    if action == \\\"confirm\\\" and not preview_id:\\n  1040|        raise HTTPException(status_code=422, detail=\\\"batch confirm requires preview_id\\\")\\n  1041|    for cid in candidate_ids:\\n  1042|        try:\\n  1043|            row_for_year = conn.execute(\\\"SELECT transaction_date FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (cid,)).fetchone()\\n  1044|            if not row_for_year:\\n  1045|                raise HTTPException(status_code=404, detail=\\\"candidate not found\\\")\\n  1046|            if str(row_for_year[\\\"transaction_date\\\"] or \\\"\\\")[:4] != str(budget_year):\\n  1047|                raise HTTPException(status_code=409, detail=\\\"candidate outside active budget year\\\")\\n  1048|            if action == \\\"category\\\":\\n  1049|                if not category_id: raise HTTPException(status_code=422, detail=\\\"category_id required\\\")\\n  1050|                update_transaction_candidate_category(conn, cid, category_id, note or \\\"Batch category assignment\\\"); counts[\\\"updated_count\\\"] += 1\\n  1051|            elif action == \\\"confirm\\\":\\n  1052|                confirm_transaction_candidate(conn, cid, {\\\"account_id\\\": account_id, \\\"budget_year\\\": budget_year}); counts[\\\"confirmed_count\\\"] += 1\\n  1053|            elif action == \\\"ignore\\\":\\n  1054|                ignore_transaction_candidate(conn, cid, note or \\\"Batch ignore\\\"); counts[\\\"ignored_count\\\"] += 1\\n  1055|            elif action == \\\"reopen\\\":\\n  1056|                reopen_transaction_candidate(conn, cid, note or \\\"Batch reopen\\\"); counts[\\\"reopened_count\\\"] += 1\\n  1057|            elif action == \\\"transfer\\\":\\n  1058|                mark_candidate_transfer(conn, cid, note or \\\"Batch transfer\\\"); counts[\\\"transfer_count\\\"] += 1\\n  1059|            elif action == \\\"covered_by_migros\\\":\\n  1060|                ts = now(); row = conn.execute(\\\"SELECT status FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (cid,)).fetchone()\\n  1061|                if not row: raise HTTPException(status_code=404, detail=\\\"candidate not found\\\")\\n  1062|                conn.execute(\\\"UPDATE budget_transaction_candidates SET status='covered_by_migros', classification='covered_by_migros', covered_by_source='migros_csv', requires_review=0, review_reason='user_batch_marked_covered_by_migros', updated_at=? WHERE transaction_candidate_id=?\\\", (ts, cid))\\n  1063|                record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"mark_covered_by_migros\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=cid, old_values={\\\"status\\\": row[\\\"status\\\"]}, new_values={\\\"status\\\": \\\"covered_by_migros\\\"}, created_by=\\\"user\\\")\\n  1064|                counts[\\\"covered_by_migros_count\\\"] += 1\\n  1065|            else:\\n  1066|                raise HTTPException(status_code=422, detail=\\\"invalid batch action\\\")\\n  1067|        except Exception as exc:\\n  1068|            counts[\\\"skipped_count\\\"] += 1\\n  1069|            detail = getattr(exc, \\\"detail\\\", str(exc))\\n  1070|            counts[\\\"errors\\\"].append({\\\"candidate_id\\\": cid, \\\"error\\\": str(detail)})\\n  1071|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"batch_confirm_candidates\\\" if action == \\\"confirm\\\" else f\\\"batch_{action}_candidates\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=preview_id or \\\"batch\\\", new_values=counts | {\\\"candidate_count\\\": len(candidate_ids)}, created_by=\\\"user\\\")\\n  1072|    conn.commit()\\n  1073|    return counts | {\\\"audit_id\\\": audit_id}\\n  1074|\\n  1075|\\n  1076|def confirm_candidate_split(conn: Connection, candidate_id: str, payload: dict[str, Any]) -> dict[str, Any]:\\n  1077|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n  1078|    if not row:\\n  1079|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n  1080|    if row[\\\"status\\\"] in {\\\"confirmed\\\", \\\"ignored\\\", \\\"covered_by_migros\\\", \\\"superseded\\\"}:\\n  1081|        raise HTTPException(status_code=409, detail=\\\"candidate is not splittable\\\")\\n  1082|    splits = payload.get(\\\"splits\\\") or []\\n  1083|    if not payload.get(\\\"account_id\\\"):\\n  1084|        raise HTTPException(status_code=422, detail=\\\"account_id required\\\")\\n  1085|    if not splits:\\n  1086|        raise HTTPException(status_code=422, detail=\\\"splits required\\\")\\n  1087|    total = sum(Decimal(_decimal_text(s.get(\\\"amount_original\\\")) or \\\"0\\\") for s in splits)\\n  1088|    candidate_amount = Decimal(str(row[\\\"amount_original\\\"] or \\\"0\\\"))\\n  1089|    if total != candidate_amount:\\n  1090|        raise HTTPException(status_code=422, detail=\\\"split sum must match candidate amount\\\")\\n  1091|    group_id = new_id(\\\"splitgrp\\\")\\n  1092|    ts = now()\\n  1093|    created_ids = []\\n  1094|    conn.execute(\\\"DELETE FROM budget_candidate_splits WHERE transaction_candidate_id=?\\\", (candidate_id,))\\n  1095|    for idx, split in enumerate(splits, start=1):\\n  1096|        amount = _decimal_text(split.get(\\\"amount_original\\\"))\\n  1097|        cat = split.get(\\\"category_id\\\")\\n  1098|        if not cat or not conn.execute(\\\"SELECT 1 FROM budget_categories WHERE category_id=? AND is_active=1\\\", (cat,)).fetchone():\\n  1099|            raise HTTPException(status_code=422, detail=\\\"active split category required\\\")\\n  1100|        result = confirm_budget_transaction(conn, {\\n  1101|            \\\"account_id\\\": payload[\\\"account_id\\\"], \\\"transaction_type\\\": payload.get(\\\"transaction_type\\\") or \\\"expense\\\", \\\"transaction_date\\\": row[\\\"transaction_date\\\"],\\n  1102|            \\\"description\\\": f\\\"{row['description']} · Split {idx}\\\", \\\"amount_original\\\": amount, \\\"currency_original\\\": row[\\\"currency_original\\\"],\\n  1103|            \\\"category_id\\\": cat, \\\"source_type\\\": \\\"import_candidate\\\", \\\"source_candidate_id\\\": candidate_id,\\n  1104|            \\\"notes\\\": f\\\"Split group {group_id}: {split.get('note') or ''}\\\", \\\"tag_names\\\": [split.get(\\\"tag\\\")] if split.get(\\\"tag\\\") else [],\\n  1105|        })\\n  1106|        created_ids.append(result[\\\"entity_id\\\"])\\n  1107|        conn.execute(\\\"INSERT INTO budget_candidate_splits(split_id, transaction_candidate_id, category_id, amount_original, notes, tag_name, confirmed_transaction_id, created_at, updated_at) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\\", (new_id(\\\"bcsplit\\\"), candidate_id, cat, amount, split.get(\\\"note\\\"), split.get(\\\"tag\\\"), result[\\\"entity_id\\\"], ts, ts))\\n  1108|    primary_confirmed_id = created_ids[0] if created_ids else group_id\\n  1109|    conn.execute(\\\"UPDATE budget_transaction_candidates SET status='confirmed', confirmed_transaction_id=?, confirmed_at=?, confirmed_by='user', updated_at=? WHERE transaction_candidate_id=?\\\", (primary_confirmed_id, ts, ts, candidate_id))\\n  1110|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"candidate_split_confirmed\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, new_values={\\\"group_id\\\": group_id, \\\"primary_transaction_id\\\": primary_confirmed_id, \\\"transaction_ids\\\": created_ids, \\\"split_count\\\": len(created_ids)}, created_by=\\\"user\\\")\\n  1111|    conn.commit()\\n  1112|    return {\\\"status\\\": \\\"confirmed\\\", \\\"group_id\\\": primary_confirmed_id, \\\"split_group_id\\\": group_id, \\\"created_transactions\\\": len(created_ids), \\\"transaction_ids\\\": created_ids, \\\"audit_id\\\": audit_id}\\n  1113|\\n  1114|\\n  1115|def create_review_category_for_candidate(conn: Connection, candidate_id: str, payload: dict[str, Any]) -> dict[str, Any]:\\n  1116|    if not conn.execute(\\\"SELECT 1 FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone():\\n  1117|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n  1118|    name = str(payload.get(\\\"name\\\") or \\\"\\\").strip()\\n  1119|    if not name:\\n  1120|        raise HTTPException(status_code=422, detail=\\\"category name required\\\")\\n  1121|    ts = now(); category_id = new_id(\\\"bcat\\\")\\n  1122|    conn.execute(\\\"INSERT INTO budget_categories(category_id, parent_category_id, name, category_type, color, icon, is_active, sort_order, created_at, updated_at) VALUES (?, ?, ?, ?, NULL, NULL, 1, 999, ?, ?)\\\", (category_id, payload.get(\\\"parent_category_id\\\") or None, name, payload.get(\\\"category_type\\\") or \\\"expense\\\", ts, ts))\\n  1123|    update_transaction_candidate_category(conn, candidate_id, category_id, \\\"Created from review\\\")\\n  1124|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"review_category_created\\\", entity_type=\\\"budget_category\\\", entity_id=category_id, new_values={\\\"name\\\": name, \\\"candidate_id\\\": candidate_id}, created_by=\\\"user\\\")\\n  1125|    conn.commit()\\n  1126|    return {\\\"status\\\": \\\"created\\\", \\\"category_id\\\": category_id, \\\"audit_id\\\": audit_id}\\n  1127|\\n  1128|\\n  1129|def create_budget_rule(conn: Connection, payload: dict[str, Any]) -> dict[str, Any]:\\n  1130|    text = str(payload.get(\\\"merchant_contains\\\") or \\\"\\\").strip()\\n  1131|    if not text:\\n  1132|        raise HTTPException(status_code=422, detail=\\\"merchant_contains required\\\")\\n  1133|    target_status = payload.get(\\\"target_status\\\") or \\\"review\\\"\\n  1134|    if target_status not in {\\\"auto\\\", \\\"review\\\"}:\\n  1135|        raise HTTPException(status_code=422, detail=\\\"invalid target_status\\\")\\n  1136|    priority = int(payload.get(\\\"priority\\\") or 100)\\n  1137|    confidence = str(payload.get(\\\"confidence\\\") or \\\"0.82\\\")\\n  1138|    rule_id = new_id(\\\"brule\\\"); ts = now()\\n  1139|    conn.execute(\\\"INSERT INTO budget_review_rules(rule_id, merchant_contains, source_type, category_id, target_status, is_active, created_at, updated_at, priority, confidence, notes) VALUES (?, ?, ?, ?, ?, 1, ?, ?, ?, ?, ?)\\\", (rule_id, text, payload.get(\\\"source_type\\\") or None, payload.get(\\\"category_id\\\") or None, target_status, ts, ts, priority, confidence, payload.get(\\\"notes\\\")))\\n  1140|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"budget_rule_created\\\", entity_type=\\\"budget_review_rule\\\", entity_id=rule_id, new_values={\\\"merchant_contains\\\": text, \\\"target_status\\\": target_status, \\\"priority\\\": priority, \\\"confidence\\\": confidence}, created_by=\\\"user\\\")\\n  1141|    conn.commit()\\n  1142|    return {\\\"status\\\": \\\"created\\\", \\\"rule_id\\\": rule_id, \\\"audit_id\\\": audit_id}\\n  1143|\\n  1144|\\n  1145|def list_budget_rules(conn: Connection, *, include_inactive: bool = False) -> list[dict[str, Any]]:\\n  1146|    where = \\\"\\\" if include_inactive else \\\"WHERE r.is_active=1\\\"\\n  1147|    rows = conn.execute(f\\\"SELECT r.*, c.name AS category_name FROM budget_review_rules r LEFT JOIN budget_categories c ON c.category_id=r.category_id {where} ORDER BY r.priority ASC, r.created_at DESC\\\").fetchall()\\n  1148|    return [row_to_dict(r) | {\\\"is_active\\\": bool(r[\\\"is_active\\\"])} for r in rows]\\n  1149|\\n  1150|\\n  1151|def _rule_match_rows(conn: Connection, rule_id: str):\\n  1152|    rule = conn.execute(\\\"SELECT * FROM budget_review_rules WHERE rule_id=?\\\", (rule_id,)).fetchone()\\n  1153|    if not rule:\\n  1154|        raise HTTPException(status_code=404, detail=\\\"rule not found\\\")\\n  1155|    clauses = [\\\"status NOT IN ('confirmed','ignored','covered_by_migros','covered_by_source','superseded','reference_2025','archived_reference')\\\", \\\"lower(COALESCE(merchant,'') || ' ' || COALESCE(description,'')) LIKE ?\\\"]\\n  1156|    params: list[Any] = [f\\\"%{str(rule['merchant_contains']).lower()}%\\\"]\\n  1157|    if rule[\\\"source_type\\\"]:\\n  1158|        clauses.append(\\\"source_type=?\\\"); params.append(rule[\\\"source_type\\\"])\\n  1159|    return rule, conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE \\\" + \\\" AND \\\".join(clauses), params).fetchall()\\n  1160|\\n  1161|\\n  1162|def test_budget_rule(conn: Connection, rule_id: str) -> dict[str, Any]:\\n  1163|    rule, rows = _rule_match_rows(conn, rule_id)\\n  1164|    return {\\\"rule_id\\\": rule_id, \\\"match_count\\\": len(rows), \\\"would_set_category\\\": rule[\\\"category_id\\\"], \\\"would_set_status\\\": rule[\\\"target_status\\\"], \\\"confidence\\\": rule[\\\"confidence\\\"], \\\"candidate_ids\\\": [r[\\\"transaction_candidate_id\\\"] for r in rows]}\\n  1165|\\n  1166|\\n  1167|def apply_budget_rules_to_open_candidates(conn: Connection, rule_id: str) -> dict[str, Any]:\\n  1168|    rule, rows = _rule_match_rows(conn, rule_id)\\n  1169|    if not rule[\\\"is_active\\\"]:\\n  1170|        raise HTTPException(status_code=409, detail=\\\"rule inactive\\\")\\n  1171|    status = \\\"auto_categorized\\\" if rule[\\\"target_status\\\"] == \\\"auto\\\" else \\\"needs_review\\\"\\n  1172|    requires_review = 0 if rule[\\\"target_status\\\"] == \\\"auto\\\" else 1\\n  1173|    cname = _category_name(conn, rule[\\\"category_id\\\"])\\n  1174|    ts = now(); updated = 0\\n  1175|    for row in rows:\\n  1176|        conn.execute(\\\"UPDATE budget_transaction_candidates SET proposed_category_id=?, proposed_category_name=?, status=?, requires_review=?, rule_id=?, rule_name=?, review_reason='rule_mvp_suggestion_only', confidence=?, updated_at=? WHERE transaction_candidate_id=?\\\", (rule[\\\"category_id\\\"], cname, status, requires_review, rule_id, f\\\"Regel: enthält {rule['merchant_contains']}\\\", str(rule[\\\"confidence\\\"] or \\\"0.82\\\"), ts, row[\\\"transaction_candidate_id\\\"]))\\n  1177|        updated += 1\\n  1178|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"budget_rule_applied_to_candidates\\\", entity_type=\\\"budget_review_rule\\\", entity_id=rule_id, new_values={\\\"updated_count\\\": updated, \\\"productive_transaction_count\\\": 0}, created_by=\\\"user\\\")\\n  1179|    conn.commit()\\n  1180|    return {\\\"updated_count\\\": updated, \\\"audit_id\\\": audit_id, \\\"productive_transaction_count\\\": 0}\\n  1181|\\n  1182|\\n  1183|def update_budget_rule(conn: Connection, rule_id: str, payload: dict[str, Any]) -> dict[str, Any]:\\n  1184|    row = conn.execute(\\\"SELECT * FROM budget_review_rules WHERE rule_id=?\\\", (rule_id,)).fetchone()\\n  1185|    if not row:\\n  1186|        raise HTTPException(status_code=404, detail=\\\"rule not found\\\")\\n  1187|    allowed = {\\\"merchant_contains\\\", \\\"source_type\\\", \\\"category_id\\\", \\\"target_status\\\", \\\"priority\\\", \\\"confidence\\\", \\\"notes\\\", \\\"is_active\\\"}\\n  1188|    updates: dict[str, Any] = {k: payload[k] for k in allowed if k in payload}\\n  1189|    if \\\"target_status\\\" in updates and updates[\\\"target_status\\\"] not in {\\\"auto\\\", \\\"review\\\"}:\\n  1190|        raise HTTPException(status_code=422, detail=\\\"invalid target_status\\\")\\n  1191|    if \\\"merchant_contains\\\" in updates and not str(updates[\\\"merchant_contains\\\"] or \\\"\\\").strip():\\n  1192|        raise HTTPException(status_code=422, detail=\\\"merchant_contains required\\\")\\n  1193|    if not updates:\\n  1194|        raise HTTPException(status_code=422, detail=\\\"no editable fields supplied\\\")\\n  1195|    updates[\\\"updated_at\\\"] = now()\\n  1196|    set_clause = \\\", \\\".join([f\\\"{k}=?\\\" for k in updates])\\n  1197|    conn.execute(f\\\"UPDATE budget_review_rules SET {set_clause} WHERE rule_id=?\\\", [updates[k] for k in updates] + [rule_id])\\n  1198|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"budget_rule_updated\\\", entity_type=\\\"budget_review_rule\\\", entity_id=rule_id, old_values=row_to_dict(row), new_values=updates, created_by=\\\"user\\\")\\n  1199|    conn.commit()\\n  1200|    return {\\\"status\\\": \\\"updated\\\", \\\"rule_id\\\": rule_id, \\\"audit_id\\\": audit_id}\\n  1201|\\n  1202|\\n  1203|def prioritize_budget_rule(conn: Connection, rule_id: str, priority: int) -> dict[str, Any]:\\n  1204|    return update_budget_rule(conn, rule_id, {\\\"priority\\\": int(priority)}) | {\\\"priority\\\": int(priority)}\\n  1205|\\n  1206|\\n  1207|def deactivate_budget_rule(conn: Connection, rule_id: str) -> dict[str, Any]:\\n  1208|    row = conn.execute(\\\"SELECT is_active FROM budget_review_rules WHERE rule_id=?\\\", (rule_id,)).fetchone()\\n  1209|    if not row:\\n  1210|        raise HTTPException(status_code=404, detail=\\\"rule not found\\\")\\n  1211|    ts = now(); conn.execute(\\\"UPDATE budget_review_rules SET is_active=0, updated_at=? WHERE rule_id=?\\\", (ts, rule_id))\\n  1212|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"budget_rule_deactivated\\\", entity_type=\\\"budget_review_rule\\\", entity_id=rule_id, old_values={\\\"is_active\\\": row[\\\"is_active\\\"]}, new_values={\\\"is_active\\\": 0}, created_by=\\\"user\\\")\\n  1213|    conn.commit(); return {\\\"status\\\": \\\"deactivated\\\", \\\"rule_id\\\": rule_id, \\\"audit_id\\\": audit_id}\\n  1214|\\n  1215|\\n  1216|def create_merchant(conn: Connection, payload: dict[str, Any]) -> dict[str, Any]:\\n  1217|    display_name = str(payload.get(\\\"display_name\\\") or \\\"\\\").strip()\\n  1218|    if not display_name:\\n  1219|        raise HTTPException(status_code=422, detail=\\\"display_name required\\\")\\n  1220|    default_category_id = payload.get(\\\"default_category_id\\\") or None\\n  1221|    if default_category_id and not conn.execute(\\\"SELECT 1 FROM budget_categories WHERE category_id=? AND is_active=1\\\", (default_category_id,)).fetchone():\\n  1222|        raise HTTPException(status_code=422, detail=\\\"active default category required\\\")\\n  1223|    merchant_id = new_id(\\\"bmerch\\\")\\n  1224|    ts = now()\\n  1225|    normalized = _normalized_merchant_name(display_name)\\n  1226|    conn.execute(\\\"INSERT INTO budget_merchants(merchant_id, display_name, normalized_name, default_category_id, is_active, notes, created_at, updated_at) VALUES (?, ?, ?, ?, 1, ?, ?, ?)\\\", (merchant_id, display_name, normalized, default_category_id, payload.get(\\\"notes\\\"), ts, ts))\\n  1227|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"budget_merchant_created\\\", entity_type=\\\"budget_merchant\\\", entity_id=merchant_id, new_values={\\\"display_name\\\": display_name, \\\"default_category_id\\\": default_category_id}, created_by=\\\"user\\\")\\n  1228|    conn.commit()\\n  1229|    return {\\\"status\\\": \\\"created\\\", \\\"merchant_id\\\": merchant_id, \\\"audit_id\\\": audit_id}\\n  1230|\\n  1231|\\n  1232|def list_merchants(conn: Connection, *, include_inactive: bool = False) -> list[dict[str, Any]]:\\n  1233|    where = \\\"\\\" if include_inactive else \\\"WHERE m.is_active=1\\\"\\n  1234|    rows = conn.execute(f\\\"\\\"\\\"\\n  1235|        SELECT m.*, c.name AS default_category_name,\\n  1236|          (SELECT COUNT(*) FROM budget_merchant_aliases a WHERE a.merchant_id=m.merchant_id AND a.is_active=1) AS alias_count,\\n  1237|          (SELECT COUNT(*) FROM budget_transaction_candidates t WHERE t.merchant_id=m.merchant_id AND t.status NOT IN ('confirmed','ignored','covered_by_source','covered_by_migros','superseded')) AS open_candidate_count\\n  1238|        FROM budget_merchants m LEFT JOIN budget_categories c ON c.category_id=m.default_category_id\\n  1239|        {where} ORDER BY m.is_active DESC, lower(m.display_name)\\n  1240|    \\\"\\\"\\\").fetchall()\\n  1241|    return [row_to_dict(r) | {\\\"is_active\\\": bool(r[\\\"is_active\\\"])} for r in rows]\\n  1242|\\n  1243|\\n  1244|def create_merchant_alias(conn: Connection, merchant_id: str, payload: dict[str, Any]) -> dict[str, Any]:\\n  1245|    if not conn.execute(\\\"SELECT 1 FROM budget_merchants WHERE merchant_id=? AND is_active=1\\\", (merchant_id,)).fetchone():\\n  1246|        raise HTTPException(status_code=404, detail=\\\"merchant not found\\\")\\n  1247|    pattern = str(payload.get(\\\"pattern\\\") or \\\"\\\").strip()\\n  1248|    match_type = payload.get(\\\"match_type\\\") or \\\"contains\\\"\\n  1249|    if not pattern:\\n  1250|        raise HTTPException(status_code=422, detail=\\\"pattern required\\\")\\n  1251|    if match_type not in {\\\"contains\\\", \\\"exact\\\", \\\"regex\\\"}:\\n  1252|        raise HTTPException(status_code=422, detail=\\\"invalid match_type\\\")\\n  1253|    alias_id = new_id(\\\"bmalias\\\")\\n  1254|    ts = now()\\n  1255|    conn.execute(\\\"INSERT INTO budget_merchant_aliases(alias_id, merchant_id, pattern, match_type, source_type, priority, is_active, created_at, updated_at) VALUES (?, ?, ?, ?, ?, ?, 1, ?, ?)\\\", (alias_id, merchant_id, pattern, match_type, payload.get(\\\"source_type\\\") or None, int(payload.get(\\\"priority\\\") or 100), ts, ts))\\n  1256|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"budget_merchant_alias_created\\\", entity_type=\\\"budget_merchant_alias\\\", entity_id=alias_id, new_values={\\\"merchant_id\\\": merchant_id, \\\"pattern\\\": pattern, \\\"match_type\\\": match_type}, created_by=\\\"user\\\")\\n  1257|    conn.commit()\\n  1258|    return {\\\"status\\\": \\\"created\\\", \\\"alias_id\\\": alias_id, \\\"audit_id\\\": audit_id}\\n  1259|\\n  1260|\", \"total_lines\": 1395, \"file_size\": 95245, \"truncated\": true, \"hint\": \"Use offset=1260 to continue reading (showing 900-1259 of 1395 lines)\", \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"   780|\\n   781|def preview_transaction_candidate(conn: Connection, candidate_id: str, payload: dict[str, Any] | None = None) -> dict[str, Any]:\\n   782|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   783|    if not row:\\n   784|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   785|    payload = payload or {}\\n   786|    cat_id = payload.get(\\\"category_id\\\") or row[\\\"proposed_category_id\\\"]\\n   787|    notes = row[\\\"notes\\\"] or \\\"\\\"\\n   788|    tx_type = payload.get(\\\"transaction_type\\\") or \\\"expense\\\"\\n   789|    try:\\n   790|        meta = json.loads(notes) if notes and notes.startswith(\\\"{\\\") else {}\\n   791|        tx_type = payload.get(\\\"transaction_type\\\") or meta.get(\\\"transaction_type\\\") or tx_type\\n   792|    except json.JSONDecodeError:\\n   793|        pass\\n   794|    if not cat_id and tx_type in {\\\"expense\\\", \\\"income\\\"}:\\n   795|        raise HTTPException(status_code=422, detail=\\\"category required before confirm\\\")\\n   796|    if cat_id and not conn.execute(\\\"SELECT 1 FROM budget_categories WHERE category_id=? AND is_active=1\\\", (cat_id,)).fetchone():\\n   797|        raise HTTPException(status_code=422, detail=\\\"active category required before confirm\\\")\\n   798|    if not payload.get(\\\"account_id\\\"):\\n   799|        raise HTTPException(status_code=422, detail=\\\"account_id required before confirm\\\")\\n   800|    if not row[\\\"transaction_date\\\"]:\\n   801|        raise HTTPException(status_code=422, detail=\\\"transaction date required before confirm\\\")\\n   802|    if not row[\\\"amount_original\\\"]:\\n   803|        raise HTTPException(status_code=422, detail=\\\"amount required before confirm\\\")\\n   804|    if not row[\\\"currency_original\\\"]:\\n   805|        raise HTTPException(status_code=422, detail=\\\"currency required before confirm\\\")\\n   806|    return {\\n   807|        \\\"preview_id\\\": new_id(\\\"preview\\\"),\\n   808|        \\\"summary\\\": \\\"Buchungskandidat übernehmen\\\",\\n   809|        \\\"warnings\\\": [\\\"Möglicher Duplikat-Treffer\\\"] if row[\\\"duplicate_of_transaction_id\\\"] else ([] if cat_id or tx_type == \\\"transfer\\\" else [\\\"Kategorie fehlt\\\"]),\\n   810|        \\\"payload\\\": {\\n   811|            \\\"account_id\\\": payload.get(\\\"account_id\\\"),\\n   812|            \\\"transaction_type\\\": tx_type,\\n   813|            \\\"transaction_date\\\": payload.get(\\\"transaction_date\\\") or row[\\\"transaction_date\\\"],\\n   814|            \\\"description\\\": payload.get(\\\"description\\\") or row[\\\"description\\\"],\\n   815|            \\\"payee\\\": payload.get(\\\"payee\\\") or row[\\\"merchant\\\"],\\n   816|            \\\"amount_original\\\": row[\\\"amount_original\\\"],\\n   817|            \\\"currency_original\\\": row[\\\"currency_original\\\"],\\n   818|            \\\"category_id\\\": cat_id,\\n   819|            \\\"source_type\\\": \\\"import_candidate\\\",\\n   820|            \\\"source_candidate_id\\\": candidate_id,\\n   821|            \\\"notes\\\": f\\\"Confirmed from transaction candidate {candidate_id}\\\",\\n   822|        },\\n   823|    }\\n   824|\\n   825|\\n   826|def confirm_transaction_candidate(conn: Connection, candidate_id: str, payload: dict[str, Any]) -> dict[str, Any]:\\n   827|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   828|    if not row:\\n   829|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   830|    if row[\\\"status\\\"] == \\\"confirmed\\\":\\n   831|        raise HTTPException(status_code=409, detail=\\\"candidate already confirmed\\\")\\n   832|    if row[\\\"status\\\"] in {\\\"covered_by_migros\\\", \\\"covered_by_source\\\", \\\"superseded\\\", \\\"ignored\\\", \\\"reference_2025\\\", \\\"archived_reference\\\"}:\\n   833|        raise HTTPException(status_code=409, detail=\\\"candidate is not confirmable\\\")\\n   834|    if row[\\\"status\\\"] in {\\\"duplicate\\\", \\\"duplicate_candidate\\\"} and not payload.get(\\\"allow_duplicate\\\"):\\n   835|        raise HTTPException(status_code=409, detail=\\\"duplicate candidate requires explicit allow_duplicate\\\")\\n   836|    if str(row[\\\"transaction_date\\\"] or \\\"\\\")[:4] != str(payload.get(\\\"budget_year\\\") or \\\"2026\\\"):\\n   837|        raise HTTPException(status_code=409, detail=\\\"candidate outside active budget year\\\")\\n   838|    preview = preview_transaction_candidate(conn, candidate_id, payload)\\n   839|    result = confirm_budget_transaction(conn, preview[\\\"payload\\\"])\\n   840|    ts = now()\\n   841|    conn.execute(\\\"UPDATE budget_transaction_candidates SET status='confirmed', confirmed_transaction_id=?, confirmed_at=?, confirmed_by='user', updated_at=? WHERE transaction_candidate_id=?\\\", (result[\\\"entity_id\\\"], ts, ts, candidate_id))\\n   842|    record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"budget_transaction_created\\\", entity_type=\\\"budget_transaction\\\", entity_id=result[\\\"entity_id\\\"], new_values={\\\"source_candidate_id\\\": candidate_id}, created_by=\\\"user\\\")\\n   843|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"candidate_confirmed\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values={\\\"status\\\": row[\\\"status\\\"]}, new_values={\\\"status\\\": \\\"confirmed\\\", \\\"confirmed_transaction_id\\\": result[\\\"entity_id\\\"], \\\"category_id\\\": preview[\\\"payload\\\"].get(\\\"category_id\\\")}, created_by=\\\"user\\\")\\n   844|    conn.commit()\\n   845|    return {\\\"status\\\": \\\"confirmed\\\", \\\"entity_id\\\": result[\\\"entity_id\\\"], \\\"audit_id\\\": audit_id, \\\"message\\\": \\\"Buchungskandidat übernommen\\\"}\\n   846|\\n   847|\\n   848|def ignore_transaction_candidate(conn: Connection, candidate_id: str, note: str | None = None) -> dict[str, Any]:\\n   849|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   850|    if not row:\\n   851|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   852|    ts = now()\\n   853|    conn.execute(\\\"UPDATE budget_transaction_candidates SET status='ignored', notes=COALESCE(?, notes), updated_at=? WHERE transaction_candidate_id=?\\\", (note, ts, candidate_id))\\n   854|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"ignore\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values={\\\"status\\\": row[\\\"status\\\"]}, new_values={\\\"status\\\": \\\"ignored\\\"}, created_by=\\\"user\\\")\\n   855|    conn.commit()\\n   856|    return {\\\"status\\\": \\\"ignored\\\", \\\"entity_id\\\": candidate_id, \\\"audit_id\\\": audit_id, \\\"message\\\": \\\"Buchungskandidat ignoriert\\\"}\\n   857|\\n   858|\\n   859|def reopen_transaction_candidate(conn: Connection, candidate_id: str, note: str | None = None) -> dict[str, Any]:\\n   860|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   861|    if not row:\\n   862|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   863|    if row[\\\"status\\\"] == \\\"confirmed\\\":\\n   864|        raise HTTPException(status_code=409, detail=\\\"confirmed candidates cannot be reopened\\\")\\n   865|    new_status = \\\"needs_review\\\" if row[\\\"requires_review\\\"] else \\\"pending\\\"\\n   866|    ts = now()\\n   867|    conn.execute(\\\"UPDATE budget_transaction_candidates SET status=?, review_reason=COALESCE(review_reason, 'user_reopened'), notes=COALESCE(?, notes), updated_at=? WHERE transaction_candidate_id=?\\\", (new_status, note, ts, candidate_id))\\n   868|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"reopen\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values={\\\"status\\\": row[\\\"status\\\"]}, new_values={\\\"status\\\": new_status}, user_text_note=note, created_by=\\\"user\\\")\\n   869|    conn.commit()\\n   870|    return {\\\"status\\\": new_status, \\\"entity_id\\\": candidate_id, \\\"audit_id\\\": audit_id, \\\"message\\\": \\\"Buchungskandidat wieder geöffnet\\\"}\\n   871|\\n   872|\\n   873|def update_transaction_candidate_category(conn: Connection, candidate_id: str, category_id: str, note: str | None = None) -> dict[str, Any]:\\n   874|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   875|    if not row:\\n   876|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   877|    if not conn.execute(\\\"SELECT 1 FROM budget_categories WHERE category_id=? AND is_active=1\\\", (category_id,)).fetchone():\\n   878|        raise HTTPException(status_code=422, detail=\\\"active category not found\\\")\\n   879|    cname = _category_name(conn, category_id)\\n   880|    ts = now()\\n   881|    conn.execute(\\\"UPDATE budget_transaction_candidates SET proposed_category_id=?, proposed_category_name=?, requires_review=0, status='pending', review_reason='user_category_override', updated_at=? WHERE transaction_candidate_id=?\\\", (category_id, cname, ts, candidate_id))\\n   882|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"update_category\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values=row_to_dict(row), new_values={\\\"category_id\\\": category_id, \\\"category_name\\\": cname}, user_text_note=note, created_by=\\\"user\\\")\\n   883|    conn.commit()\\n   884|    return {\\\"status\\\": \\\"updated\\\", \\\"entity_id\\\": candidate_id, \\\"audit_id\\\": audit_id}\\n   885|\\n   886|\\n   887|def create_candidate_split(conn: Connection, candidate_id: str, splits: list[dict[str, Any]]) -> dict[str, Any]:\\n   888|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   889|    if not row:\\n   890|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   891|    if not splits:\\n   892|        raise HTTPException(status_code=422, detail=\\\"splits required\\\")\\n   893|    ts = now()\\n   894|    conn.execute(\\\"DELETE FROM budget_candidate_splits WHERE transaction_candidate_id=?\\\", (candidate_id,))\\n   895|    for split in splits:\\n   896|        amount = _decimal_text(split.get(\\\"amount_original\\\"))\\n   897|        if not amount:\\n   898|            raise HTTPException(status_code=422, detail=\\\"split amount required\\\")\\n   899|        conn.execute(\\\"INSERT INTO budget_candidate_splits(split_id, transaction_candidate_id, category_id, amount_original, notes, created_at, updated_at) VALUES (?, ?, ?, ?, ?, ?, ?)\\\", (new_id(\\\"bcsplit\\\"), candidate_id, split.get(\\\"category_id\\\"), amount, split.get(\\\"notes\\\"), ts, ts))\\n   900|    conn.execute(\\\"UPDATE budget_transaction_candidates SET requires_review=1, status='needs_review', review_reason='split_pending_confirm', updated_at=? WHERE transaction_candidate_id=?\\\", (ts, candidate_id))\\n   901|    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"split\\\", entity_type=\\\"budget_transaction_candidate_split\\\", entity_id=candidate_id, new_values={\\\"split_count\\\": len(splits)}, created_by=\\\"user\\\")\\n   902|    conn.commit()\\n   903|    return {\\\"status\\\": \\\"split_created\\\", \\\"entity_id\\\": candidate_id, \\\"split_count\\\": len(splits), \\\"audit_id\\\": audit_id}\\n   904|\\n   905|\\n   906|def mark_candidate_type(conn: Connection, candidate_id: str, candidate_type: str, note: str | None = None) -> dict[str, Any]:\\n   907|    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n   908|    if not row:\\n   909|        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n   910|    allowed = {\\n   911|        \\\"transfer\\\": (\\\"transfer_candidate\\\", \\\"transfer_candidate\\\", \\\"user_marked_transfer\\\", \\\"mark_transfer\\\"),\\n   912|        \\\"investment_transfer\\\": (\\\"transfer_candidate\\\", \\\"investment_transfer\\\", \\\"user_marked_investment_transfer\\\", \\\"mark_investment_transfer\\\"),\\n   913|        \\\"credit_card_payment\\\": (\\\"transfer_candidate\\\", \\\"credit_card_payment\\\", \\\"user_marked_credit_card_payment\\\", \\\"mark_credit_card_payment\\\"),\\n   914|    }\\n   915|    if candidate_type not in allowed:\\n   916|        raise HTTPException(status_code=422, detail=\\\"unsupported candidate type\\\")\\n   917|    status, classification, reason, action = allowed[candidate_type]\\n   918|    ts = now()\\n   919|    conn.execute(\\\"UPDATE budget_transaction_candidates SET status=?, classification=?, requires_review=1, review_reason=?, notes=COALESCE(?, notes), updated_at=? 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          "encrypted_content": "gAAAAABqCtouehNaMWrBwvCfQunNRoktiIsmnfbXcg4_AFFv1PlejPOinaZxl829Qk-9JB1GkGEmpTiIygJePIGJNFzqpRLGV3IEPkjFJvKjVO-TiVIax2P5P2n2VebOt-e1dPcvOdGxef8_rOmeVDT9wrfQuSlj8Tx2c1O791ggWhHMFTn7MVs_4XHZwdnmIzFL_cKwK0wdVn72-25EG2iiYaOt0l4euLK0PQHc0NNRWbjseglrUr28g4NGlJmRXiYCsIkhSAElkDBGA7qTLEL-i-oW4obQ8OrGq9K9_ESwlJ69R4cqmzfl_1OgcwJIvY9TsUMxiK3Lq487f0DpdAxWjciWFpMUhFk7dVGnnMZiQ07i1HbdlRPOE0XgA8jygu6gTCi1VfKZQelVWCM37IfsvQZvq8zaZkPrfnWb_EhTy-71pVGg_O4mkyjwf5Ijphwb-7BWDgIZMfAP7nsXDjI2WY2FeswqR0IMvc8qIEGnUVWLJkSU9_Bcqi_OKsfzTvh7se8u-2KzEePHBL11L0-JsPQ_0sksSrF3e2FElTRZwF28217q-e6lvFwnn9nxDkSmVDUbUgpYf4i3dmq3txNAN49DiBlRj3zPhXUoMhPCkm5_oLymz3lkhZ5SKu0xpi5lytfy5fP7UHLQcHiYoTKPlshzB0wBubwivCA57e1JhU61fr9tRCZR1bEhGzlXxHEIpYubzchGQI1dAQqAIWqYZu5ySQpXNSS59J9hTGmeCZg9mX1nEmSpkuCSSUfzIyuVd9cSpFiWWUvp3GP574ZjfoUA6LxEX6UWpEWq8IL1ZtUCjxnimBP5gsCODNZSLiXhAHgAXdn78WOa-AmHKIdkaYpAE1N6sSBjU6wztluFu-s5t-Lzp_3SKENg2PwbyGkYSHm3xZSvOj-mQ9SQ69HI5kmw8RRMFHR0JzsGbayXVDqlbOKMQacwmBAjNXyIgv12AZBdlIKGp0PK77QbmlGuSrzo_RUXEdw6ajUsPMFt_bomRebhwgtLQ_lpo44Q0q1mwXNgo28d7wycybnHmcgtxQZ_UzLKEltU2LzcW8BzpCFvwSRUSrXAx3YTkNFteP7wtqiG-xyRNrHVFE1B7ZjvSIRjxjeaKZvwcFVmcExaUdCtPNrMo53pf0mKmYQtPZIy4-YyV_oOZK4I5NDLkJciYeedyHslaKuDKUD4lnGK7zihKhkk6znEjEZ-j5kR7LsoAR1302r7nIt7UsHWFXGs3xWwNwTnLw3V38jHD15DAq8-VKZmYeUi9agiUWn1yYI-lpB0MH1KozyR_Zn89JUtedfH4ug44QSvOmaH0-faPUxrlDwdhwiKAr3m3iOT3HIGHl0wjnRHa8xQfqwL6mAW_kQUbR72sid3wV5-6vMozxi8OFquL8MEVcPIoCj9EXBP7Q-iavt6SrlLzt2cbFIyTun8ra-mu41AsF_PbEjEJg4MysWFHadHsnbI5FiRa3JwhmmIcuYq-L2cuEhRA7tV7skKsNEpLk33BPfO1xAC-T-BHTJ0Dvbc6MXW1F_wV1aoPBGlroOTaOgItc1rkr95JfrkOyRtSDyFKbTs7GuoU6NHdFEjsuuHujK1XuBD6mZ-VrX3s8kvAOqONVO1vtO1WZdMfTs0A0bPlB2upypTEXa2SRGS6e6tyD5_HLMUIenONNl5XNpQG2PKFuTd3Ylxh8XkSUXnIUIdk88ug7ZJwbWskUUYZ3Aik6c_figWN1FwnZXDK1OiLPUsuxDqZhoq7Bkl2wVFfOtDe1t-0V-sVzefeFo_sNhP27dyna8pVSp7fYV-Ls7_",
          "id": "rs_09aa95dd40d653f4016a0ada2991b08191bf043c84422c7b68",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_7wxuWSDoqFyyaKgPsOpEVQxO",
          "call_id": "call_7wxuWSDoqFyyaKgPsOpEVQxO",
          "response_item_id": "fc_09aa95dd40d653f4016a0ada2e411c819192e55f8f6acdba7c",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3, json\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\nprint('ACCOUNTS')\\nfor r in cur.execute(\\\"select account_id, name, account_type, is_active from budget_accounts where is_active=1 order by name\\\"):\\n  print(dict(r))\\nprint('CATEGORIES')\\nfor r in cur.execute(\\\"select category_id, name, category_type, parent_category_id from budget_categories where is_active=1 order by category_type, name\\\"):\\n  if r['name'] in ['Freizeit / Ausflüge / Abos','Essen & Haushalt','Shopping / Kleidung & Elektronik','Auto / Transport','Sonstiges / Administration','Einnahmen','Lohn Marcel','Lohn Melanie','Gratifikation','Rückerstattung','Sonstige Einnahmen'] or 'Einnah' in r['name'] or 'Lohn' in r['name']:\\n    print(dict(r))\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"ACCOUNTS\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 5, in <module>\\nsqlite3.OperationalError: no such column: account_id\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_7wxuWSDoqFyyaKgPsOpEVQxO"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtpIvNJcZS-9ktGsGOhNPUkrlnxdbcfj30GU6eNwN2XiNTr5-qBvqaIKemD1l2n7-hOmo6n_HqC7kyUhq3c_HPcF73ITaGq7wyMfZ2QJ9efWb5OXflncGXLUWAxhTrhJCGzvbedhgrdgsZ7kb9_0qoBsEm-S-PyXDWOzh2mVw6ivTRIVqhnYW9_5wskF3boNZAyTr9Kv1bUeyIXI4qdXgtT-XwaIBYB-FierqhuwXNTRafu14UJ3uWaT3ev4f90iDvsu66hPO3oSTiafuoQsHBo5_WvsMe0_Afm3P2a5-g6liq17BI--nMm-yv5bDSxTJ4XjoGs_S66F5Qx26h_LD9jRrUxv5i0mjdQ-jViL77sEpyg3UypKvDOTqU66ytuIz8Uam4iUQfCqokemSY8Lam7m0GNWukn6EE9PTFEvzrHEVhpYMh0jB8M_M65pS2UWq5tzej6F1tAn2lQWyVlYFepYYX55tt3tDgxt5rvosjEPBISdn_jK8Bjop6aZSE_4vG5etZwSv80yYzEsYnRZoq4o2hrzjRzQp_XbPgns9eNWSN4uuQjj7wr2jUqUNb0MdUsJ-OKjRkiM12C1Inf2MMjPqttZAlsb9MSoC4ZrNlcBmNxlYk9gC3i3Z-aMHmxfDyOVwMTldcpOAUfTWdVJrN6lon14M6O25pxcBBMkXRMctH4ZEj6hVLE926_-XqrHZ1OqcPnDYAqZ1k477tgGtuPn2cOCVdsnwLg3j4twLPAvyIJRIwFU8vhpBdOJBjzvmPZADJfc2Wp-rqFb7a_USmZLhazuArgnHTTueVg3tqkSyQtt4G1QBm157cynva5VgEwDBOQJ-N8aWmFMWmLnZfmGbtqLQv_x21bgppfCg82f7t_uh8g2PJGAheUL-yYb7-MXiu5seURQvQBzZ-oAV5giJHOxFzgn-wn9xuojW-JKfbUsziekDXrGbbhmjZ8N3kAr",
          "id": "rs_09aa95dd40d653f4016a0ada47467081919cbefc1a671a1689",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_jWw8uIVHpgyG3r5Ir6iGK6n9",
          "call_id": "call_jWw8uIVHpgyG3r5Ir6iGK6n9",
          "response_item_id": "fc_09aa95dd40d653f4016a0ada48a3188191b74bb01e8a28ebf8",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=\\\"\\\"\\\"\\npython - <<'PY'\\nimport sqlite3\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\nfor table in ['budget_accounts','budget_categories','budget_transactions']:\\n print(table, [r['name'] for r in cur.execute(f'pragma table_info({table})')])\\ncon.close()\\nPY\\n\\\"\\\"\\\"\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"budget_accounts ['budget_account_id', 'linked_account_id', 'name', 'account_type', 'currency', 'is_active', 'archived_at', 'notes', 'created_at', 'updated_at']\\nbudget_categories ['category_id', 'parent_category_id', 'name', 'category_type', 'color', 'icon', 'is_active', 'sort_order', 'created_at', 'updated_at']\\nbudget_transactions ['budget_transaction_id', 'account_id', 'transaction_type', 'transaction_date', 'booking_date', 'description', 'payee', 'merchant_id', 'amount_original', 'currency_original', 'fx_rate_to_chf', 'amount_chf', 'fx_status', 'category_id', 'status', 'source_type', 'notes', 'created_at', 'updated_at', 'reversal_of_transaction_id', 'source_candidate_id']\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_jWw8uIVHpgyG3r5Ir6iGK6n9"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_wUxGHnUlBYT9Z10yn7N3aT8U",
          "call_id": "call_wUxGHnUlBYT9Z10yn7N3aT8U",
          "response_item_id": "fc_09aa95dd40d653f4016a0ada4eac4c8191bd150ee52e514938",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\nprint('ACCOUNTS')\\nfor r in cur.execute(\\\"select budget_account_id, name, account_type, currency from budget_accounts where is_active=1 order by name\\\"):\\n  print(dict(r))\\nprint('CATEGORIES subset')\\nfor r in cur.execute(\\\"select category_id, name, category_type, parent_category_id from budget_categories where is_active=1 order by category_type, name\\\"):\\n  name=r['name']\\n  if name in ['Freizeit / Ausflüge / Abos','Essen & Haushalt','Shopping / Kleidung & Elektronik','Auto / Transport','Sonstiges / Administration','Versicherungen','Kommunikation','Sparen / Investieren'] or 'Einnah' in name or 'Lohn' in name or 'Gratifikation' in name or 'Rück' in name:\\n    print(dict(r))\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"ACCOUNTS\\n{'budget_account_id': 'bacc_6860d2ed36b24023', 'name': 'Haushalt 2026', 'account_type': 'checking', 'currency': 'CHF'}\\nCATEGORIES subset\\n{'category_id': 'bcat_food_household', 'name': 'Essen & Haushalt', 'category_type': 'expense', 'parent_category_id': None}\\n{'category_id': 'bcat_expenseshoppingkleidungundelektronik', 'name': 'Shopping / Kleidung & Elektronik', 'category_type': 'expense', 'parent_category_id': None}\\n{'category_id': 'bcat_expensesonstigesadministration', 'name': 'Sonstiges / Administration', 'category_type': 'expense', 'parent_category_id': None}\\n{'category_id': 'bcat_insurance', 'name': 'Versicherungen', 'category_type': 'expense', 'parent_category_id': None}\\n{'category_id': 'bcat_957f6173b4654252', 'name': 'Gratifikation', 'category_type': 'income', 'parent_category_id': None}\\n{'category_id': 'bcat_eccbd333bd79493b', 'name': 'Lohn Marcel', 'category_type': 'income', 'parent_category_id': None}\\n{'category_id': 'bcat_incomelohnmelanie', 'name': 'Lohn Melanie', 'category_type': 'income', 'parent_category_id': None}\\n{'category_id': 'bcat_incomerückerstattungen', 'name': 'Rückerstattungen', 'category_type': 'income', 'parent_category_id': None}\\n{'category_id': 'bcat_73be2f95230c462c', 'name': 'Sonstige Einnahmen', 'category_type': 'income', 'parent_category_id': None}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_wUxGHnUlBYT9Z10yn7N3aT8U"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Analyzing data classifications**\n\nI’m looking at the data classifications in v2 and thinking about the subscriptions like subscription_auto, card_uncategorized, covered_by_migros, and galaxus_review. I wonder if there's no auto_transport because the new profile didn't apply Phase16? The aggregate shows that the source includes both credit_card_csv and visa_credit_card, which might be duplicates. I really need to ensure that I'm using source-specific counts with SQL. Let's clarify this to get accurate data!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Analyzing data classifications**\n\nI’m looking at the data classifications in v2 and thinking about the subscriptions like subscription_auto, card_uncategorized, covered_by_migros, and galaxus_review. I wonder if there's no auto_transport because the new profile didn't apply Phase16? The aggregate shows that the source includes both credit_card_csv and visa_credit_card, which might be duplicates. I really need to ensure that I'm using source-specific counts with SQL. Let's clarify this to get accurate data!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtplttDDFLlpHi64Ivt_6sQatkB5hCnxGKPdP45m4rDiaUcqc1FFsozBJoJTdyobxDOPWK6hKZLTaaHfMIJvl6VyMjmvmj_pdZnkPebzukopT4c1u5UOzMsWWSsFw7AtjTaPSmKwESR-ltrp7rsDJbGCFqlKZCwLkAFoEYWMcPSnVqhUMWEE9tsMQxUbksALCif6uaRlNPXEbOw3gonP3levazOHAiGN-6cBLlKf_EMjc17jHnYMu5XEjWvcPY5ea-TjrJqOe4Q0B29jPC_9cGK5ilP2ifFjBgK5fG5WlnDL9ZSIbwUoGGj0z0dF61xVIMb6gG4ZGPDw61bCwW-LjeKeSYnYxMLO_3vKC0At9sUtT0cSiL_pubfRMgC1DcaigMZ0SdNMKgZbdhh1Y9mcaMfoSOLlfGyKQFAarsgaU10nDjG37iFcDLB0SglvxYl0S5Twk-slPqdNS92b-XhLXJfNaICL7MbynHfvNsJOwWgKVQe6GfE0lRNt-qsB0LmA6V_kcuK4jtvWsnD2ApCiwngDsEH_ZpyBRAZHR6sTXFBzjs9J1nrHaXGL2MMzmSWKg2_FHTkEqzqJKFncPT_wcR8LtVmCvjtuArDlDmQ-NWGMdHZuEOaPspcVG92rNY6MJSwH5_HiKWOGyZFwbamj2ri1MYlQR6Hr3eHlSlde6H0T5FMno5g03HaN6B32RFQwFVqHQCORGylu1lctVW2GK5y96uQ5grcqiBiLnQu3NB4klo_lGhOldcK8u8-APVL7fNU89BwQaArekUz0qX8hlzuKSiRyVhOTgH06lsSSnq-ty4e4N8bM3uCb7WkADL30kDFh-uSJ5ozQwTLWC9PmyKbE7NQ0a_FcjoJxvySJNqJS5_whC9fDbCnnuz11ckqwNMMKSIpKJl5b5AAa1nLyyaiwDpy5K7FX5G7SpvgKwNhKjetpgy7_7ViavKsuh7xfFcwChIq2AgN-V4OmZElVcI8PjhX4DBzJeHf2ZZTNpFI1Xueutc4HK7NIP2ZPWA2BmLGq_sipJVSEehyHV3cHe2-GQC_12Eqig9i991niM8_UyAaiAX2kbUTH_rkWoGtdUhwu-M3hNnNz2Nz8qN-_wjktgW5TWtf75wu0c0zhR3FuhHQ0A5l5EMOhWaeV8X6Io2kfz1DyTpI8azYlKW8FktraDCAVud2vQuL8myBL0QDcUZG7675_uZSp8m5NXSXPUhPxsjMP7TSSFrAQpSJaihau39QFm8nOjOh7IZfVqxaI5voskiF50MTR64h4QJ5PbDWkUtAO2fJvfiaZ-oLsEuYK3Vu4QVndiF6pICzRGzRCJyR2zAScuhs1USS97KAjrAa3wL0sdZHEufz19Mrup9Ac23qZhPeHW9ixm3X4bC2BBXjvSW7SAfueaIfpc0ZppJldjrrIcflftnPCTCHLMviKJWTbEwWk1yVYgD133SsFgZp9GyPrQTZ5bHwbYitOSFq9dN06cOAciNvyN4gsv9jVO4h8HNuIwq2BcjnqpFq-grUdpq0WmNf9VoSKHlT2w7pEj0uHplqS5j2qty5j4WyAgZYuwJBF3lHlwXM-RKhkFg2bMbxmNuijOlbXPx6EQM-upsc7GA-gt-16oq49-wmmQdvQxlUlvEnY_R_8wlcjDWC_H_6S-N_YJW6YsDQpeMT2huNnSTTrgBdDZnQHeEzN2ZECkoYn0VtcicWRm5gMtkCNeACv0MZ2sjCIevm-JNey6nt8PHYcohXcGSl5Z0Eiq96DZEOg2aVNRr7OGXM29M9a9mfL-02ODSSmdXhPYLmvUeorpyscqjIyX60Yof-OMRWOr5JsRu6lIUnkvoIlafkFndGSWwlB_famg6ZvNRmgK-EDJFz-t-7Qg2tr0ssPgthNoGxFph514xrqknwwbWJssg2SaW56_m_3st-DmC_4e6SpmAy3N6rAh6KvSv4Mme5zpSQr6mJpPDrIXDAbs37CK8bPecW6zflzYT85SwytI-4YLoN0EzVrn8dVsHg7CVICuSLIsbFkcdrg_KwQWcq9hg3PEUKGLNoKb_2x_XHzlNHTR6vTkPEKzR0rt14z4Dm4K7BM41iT7kEpjC1wGC2ZSJmeq1CK9YFZOKbNs1sc4WqM24Np4HknckXJ_r32ABJrcx5NIpu749IGUwLaehTk4BjwN7lUe5gnHJ52YF9j6zouX1QKOprpVA8tVz67EOGXBIIRaoumCDkeltLsbrj7uQAf5WaNbBhGxZzqXB2qcnHxxkUQJIUoj4gPqF_MDfeq7kGKSMkoJSNs-zwvcmYZ_nhW3gsH6qN4JDD_uXMgAFcNzIlTI0TXEp9bwpauIxk5Jcb87AAq3jLaLsk2lA37rqoTI_6hltYQUhQXtAv0e5fmV3TXaApB5rsqZRDNILST1WNnUs9ORv6nxpLOGqlk3PvFCLQb1s3ZMgiApLgg39uAuj2dA6szChFEr6-JYz_aHmqqqRA1UAFFs3Cjkn1p2VoH60j7prLM4U0GMps99mZdtF-nFs9-LMbxQxBCyd1CQrBZn23dEWYpafZ9T1aN3aTXFAXnxTtZ2FRiO7gJCQCObp2xSUkG-YnKheNV6WKpCBYmBCbNLBr97SkfgwmtFDThdBl2D21woDJEUgvvt0dpLOHobG1FKQ6cIXooYKbeJKAvqIlHVATM710P9RhzXCQDKrjv8G2I2aIcqhNh_KZLVAbA4_pH-vGXjWkbFRwLK9nhTSt_cveS339f6hz8S8n_71j8F4JgX5m63f50L3XzbdW5xENrI0IPPba3_g==",
          "id": "rs_09aa95dd40d653f4016a0ada58f1e8819181686bd2ecf8ef50",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Analyzing data classifications**\n\nI’m looking at the data classifications in v2 and thinking about the subscriptions like subscription_auto, card_uncategorized, covered_by_migros, and galaxus_review. I wonder if there's no auto_transport because the new profile didn't apply Phase16? The aggregate shows that the source includes both credit_card_csv and visa_credit_card, which might be duplicates. I really need to ensure that I'm using source-specific counts with SQL. Let's clarify this to get accurate data!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_U503ANAIvzWMgwwtg7GWflKH",
          "call_id": "call_U503ANAIvzWMgwwtg7GWflKH",
          "response_item_id": "fc_09aa95dd40d653f4016a0ada65195481918044c7194b59ae24",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3, json\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\nfor source in ['visa_credit_card','migros_receipts','raiffeisen_bank','akb_bank']:\\n rows=cur.execute(\\\"select status, classification, count(*) c from budget_transaction_candidates where source_type=? group by status, classification order by c desc\\\", (source,)).fetchall()\\n print(json.dumps({'source':source,'groups':[dict(r) for r in rows]}, ensure_ascii=False))\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{\\\"source\\\": \\\"visa_credit_card\\\", \\\"groups\\\": [{\\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"card_uncategorized\\\", \\\"c\\\": 914}, {\\\"status\\\": \\\"covered_by_migros\\\", \\\"classification\\\": \\\"covered_by_migros\\\", \\\"c\\\": 269}, {\\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"galaxus_review\\\", \\\"c\\\": 119}, {\\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"subscription_auto\\\", \\\"c\\\": 74}]}\\n{\\\"source\\\": \\\"migros_receipts\\\", \\\"groups\\\": [{\\\"status\\\": \\\"duplicate_candidate\\\", \\\"classification\\\": \\\"migros_receipt_food_household\\\", \\\"c\\\": 49}]}\\n{\\\"source\\\": \\\"raiffeisen_bank\\\", \\\"groups\\\": [{\\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"bank_review\\\", \\\"c\\\": 37}, {\\\"status\\\": \\\"transfer_candidate\\\", \\\"classification\\\": \\\"transfer_candidate\\\", \\\"c\\\": 10}]}\\n{\\\"source\\\": \\\"akb_bank\\\", \\\"groups\\\": [{\\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"bank_review\\\", \\\"c\\\": 281}, {\\\"status\\\": \\\"transfer_candidate\\\", \\\"classification\\\": \\\"transfer_candidate\\\", \\\"c\\\": 51}]}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_U503ANAIvzWMgwwtg7GWflKH"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Evaluating VISA subscriptions**\n\nIt seems that VISA subscriptions are under review because there's no assigned category. I need to query to check if a category can be assigned, and verify that it's safe for the subscription. Maybe we can use a UI to change it to \"Abos\" or \"Freizeit / Ausflüge / Abos.\" If a category is missing, manual assignment might be part of UAT, which I should confirm. For Migros v2, duplicate candidates are likely because of legacy issues, so I won't confirm duplicates.\n**Testing Migros duplicate recognition**\n\nI need to test Migros duplicate recognition without confirming to avoid double counting. The goal is to confirm some VISA transactions as safe, but I should choose two clear expenses that aren't from Galaxus. Since all VISA transactions are currently uncategorized and under review, I need to look at merchants known for safe categories, perhaps restaurants. I can use patterns to assign categories, but I'd have to manually map them. I must ensure I'm checking the right dates for active confirmations—only 2026 transactions.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Evaluating VISA subscriptions**\n\nIt seems that VISA subscriptions are under review because there's no assigned category. I need to query to check if a category can be assigned, and verify that it's safe for the subscription. Maybe we can use a UI to change it to \"Abos\" or \"Freizeit / Ausflüge / Abos.\" If a category is missing, manual assignment might be part of UAT, which I should confirm. For Migros v2, duplicate candidates are likely because of legacy issues, so I won't confirm duplicates.\n**Testing Migros duplicate recognition**\n\nI need to test Migros duplicate recognition without confirming to avoid double counting. The goal is to confirm some VISA transactions as safe, but I should choose two clear expenses that aren't from Galaxus. Since all VISA transactions are currently uncategorized and under review, I need to look at merchants known for safe categories, perhaps restaurants. I can use patterns to assign categories, but I'd have to manually map them. I must ensure I'm checking the right dates for active confirmations—only 2026 transactions.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtp33wenYzrLa7tZlqIqNwgsfH-ZWPMQrKnsvKY9FJQ8ezkchgIEm1kCTMHhvxLJIlF3SFbmKOGMdFolDisyOLpXR8P50f3mwnmsBp1Anh1-ATy1ivn9G_1nU_JYHJY9zjRJ1FEOLp2mo8XbPSSrv_fsDoiIMAm9Vfx8czFOZaoM43Jcx2_6UCp5f03a0YZRVGOBFSOW97yfQKj7cet9V4kSnJNwZHEVy4zmBUFie5zDpt2f65crOSL5_r2g2GLA1bXpUic03Lnn2pfJOWGddRjmQXzyW1CHcj6Y0lUZgkZujJLMqczBtAVhevFmDd5aQe0seT7JOkn_EqPxG-ZGykoq--FKCSfUSkcsnuiMvdfkuapzXqoXl7MapCye6Ssi3rA_jR4S_EbbPSSrBnU1eSI2G4WrCzrVgQtXEZnv0u0eu7SpGvPAuE6Q138CK3phbd0qlN5BdfgDHoIgleDpTWvKRlmxC62I19amh67PPNKFxhNF9i6CH3ONY4E2J4TxhLWxxUMY9031o5u6bdOpwRj2QRbNuzY8B07rp2WkWaYNbs8m4_TFTZq8r56XHKrdrXUU9Nu9R-sQPBEY4CiRi7rDFBiM3sCXyj9Tu_H5xAc1v5R6U8s5Exm0ltra7Z4JfUBJ7LxmrpqvXUWjJa3jBCMvwecpOC0H7M7rLPtuydFWvqlJne_5ZEsYT6VYRP28O6fTM4RIbHAEAT9PTc_PEcC7Ggx_vlAfwEn0YYWZ9OEUYgzwyEqbfiLssEeaWm8a2_Iu3RCMgEFHfTe44Cwbu2v5Zwz6SZxTqVb2JY3V97hhLmAEMX-UlDV4t5g2lTT5Q2OtZYmYpz27qkiyFrS3bR9SR1JpYraVuWMO15TcEyF6hf029hLVFsArMAHqvQSyVDbwPzp8oYEdh1Eil4ztfV-HzMztx3M6sf1gS4KEwrLudlnhHXUllKvdssSEBh1-wuON1s8S-l1wqoTPCRsJ6Cze4p35wrSMdZOl5ECOAWsv4a2abP_VoNEjdKluhBO_7_Syz7rUVQ7B7VvV1pgEltEHNolu6MNNCXbWlQ6nY60RfKNuWra5Bg-XuiB7npLJNV-jU5Tzp8qQPpqGSZOpFF7Zkk6qj6puB_IMc-W_Pp0dzD3viYyO-H8EhadoJX_Y1PYUt3oTV4QEf7Yywk3gQzGEh2mGTJqClkDGUxqwHOFRhbPMCnSRnbWvj5swyj0eVhQ2vrs8uNx4DhDLMe4waD_mJeaD5GW7dLBXH8Ryc0CzngKGSO7zsoKp0fqTB2-u3LotjqTTUvInYoXujkFWp-njpr49FH18Oc4Y9DjeRy_V8_XHF4xbKAIQw9H83Nc1xSJwrn5229VeJ-Yqq5Bx77TIMsBVY_2_3qIZEqLNUQJ5bmjJdWItbnsALB88PdALtea57yV9I0shvh5hVojTBfza8uJwXf2nrO180l4pgfRp7Z5pIS0x0haVwZZyImvrTJorezbnW3fW5XzmC3LU1TZOhL0YOkeJQV4tlLn6qDCjhcJl3hr1n4zAVPGr1SlAAbrh5ya0AMd4jb4uQWUfvCabSxRw6Se0SvERY2MkoqwE1sFCv2mfnekKKGN8fBg5Q_Wqk-KbIL6MyY64gpAnmbsLyOHzehjWBIyRiM-hA9igZyLo3N2EIw_DNHIKh7WiHLmNjT52eOBKT3x8JAa5ulhDAUHHoVxIzLHCsRWSxtz9E2CDHVSFDWe8cpV6DZtO9fT0LCSPKADLG98d5Imfww5YGsUikViXjmLZd9VKsONwA2jW5OJOSIgpLc-NOBhYN3hW75W2aIK_9BV1xSCV7AQL9QQ2kP_AZM6hrQm5L23__o1BSmDlZKjxFFxi19prl5V5eBexgCrfwFIZHFHcAV4R1qeJP9x7Q_qGg82PLaXHrxYTMqbRJEfR_yKRUzccNKo0Kt71MDVMsFNuPDhOsg2RsyXi6aLHfs5_wN2k1U1BVE_vU5sdDApdUBK2YlqiXijbxof4Dcbo3H8JOJSEbxYfm1DualEtBm3Lrh2pglc8TnJqejssDaTUG3w-fy9Vyc8frayGHYfYqt0p859xlHShdsFzdTCUJiW_p0I6_7RIXwwX32QxCULa7rVa3J-0UJ3RWNvcv4jNMU3_h9RKa77I3_D7lcrPHZvFVJ4dxC64Z9GkGc8HkWL7XZAQaTsmf9JIoiW6lAhQjBe1Airs3CCs9z-82fnCk4A4t08yckTNOiXwCmsjilxlCd-fkBMo0HwVcX0haDScIkARGzRY7TVDlyc1I66ZE7rjGMcYjAekAG6hmYqfnVcdsu-r-_QVUXmA1_NjYp6nMnIeRHKpmHQZhErZiNZ8KoFp2DxQ3mPOBXASUSTHxsKQBiosb__Kb0A04beFw2XNBJ8g1BAADLWPsIc1TpWhmNzeYHXS9R4AosIgOr5imWw32C5_EHBI6Fwi1YZYvhLg5T9h0K5YXnH6S-Gk1RGOnV-dJ2D1yFPtnFGt6ktOziBfkqZ9Ns4Cf4xUhp2t0RChcdgcBVvBjlTOm5Ns95UXDG5SF8c2a3Pfi5y1RiPKGy5T7AvayA5DHrWnF1UX2Qi4yAGEXCzfEgfsnFsTiEOqDC9Ytdwz5jnVT9bDqqD6zC-qx44-GmnfaUFzC39Vhbt6Id-opQrYjJWacV4rL7_Pgx_vtHxLkyARMvJHBiUKFysnY04c6ZE4yQ7Q6jw-CfpujNzkOIhlkHrbgb4IihhQqy75-BXUhXmo5H40PNJkVkeFvVdPYVD_7Hkk3tSOmgzpbLspYiY47nXC0cU9WeOXcOuEEHdlON57745RhK98MigpLpxDtpqsO6yKfbvGbsuC_AnQPtGz_BS5L1Ya-_5ED-wbABWngcMzV_Xv3jeDK5-3EIfYD_5tN3RZmvK5EqdStzNw1Cz9R0y5_xowsY-uO68RKu7MatA6DjxEHXz_j46_1-XKdI0iRpaAl6TVwtjSGza0S7OpUiDVc1TulSY9OQSiIW5jm7NtruAc8o2kdog7S7zZH8S5OymUgN0RbTbuKfn5GfX7VO1hj2p8MUPdTLPFKYXGnw9ZT56XI-p3B_5MHMMejEIULNUEoiNsqE1ywArXdmXS7r1f2zg6jgI1zWQz2ypphC12e7fjPpY9uZMWxy-5W0zkTznO4EAs3d5TKg3ooI-nDPsYBHBJLa38tAauSdvMHcXguiU=",
          "id": "rs_09aa95dd40d653f4016a0ada6dde10819198a9d5ef8d75a9ed",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Evaluating VISA subscriptions**\n\nIt seems that VISA subscriptions are under review because there's no assigned category. I need to query to check if a category can be assigned, and verify that it's safe for the subscription. Maybe we can use a UI to change it to \"Abos\" or \"Freizeit / Ausflüge / Abos.\" If a category is missing, manual assignment might be part of UAT, which I should confirm. For Migros v2, duplicate candidates are likely because of legacy issues, so I won't confirm duplicates."
            },
            {
              "type": "summary_text",
              "text": "**Testing Migros duplicate recognition**\n\nI need to test Migros duplicate recognition without confirming to avoid double counting. The goal is to confirm some VISA transactions as safe, but I should choose two clear expenses that aren't from Galaxus. Since all VISA transactions are currently uncategorized and under review, I need to look at merchants known for safe categories, perhaps restaurants. I can use patterns to assign categories, but I'd have to manually map them. I must ensure I'm checking the right dates for active confirmations—only 2026 transactions."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_SSqlUqX1qP1sK31j5rfbH0C1",
          "call_id": "call_SSqlUqX1qP1sK31j5rfbH0C1",
          "response_item_id": "fc_09aa95dd40d653f4016a0ada77defc8191a7aaec01485ad198",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3, json\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\nfor source in ['visa_credit_card','migros_receipts','raiffeisen_bank','akb_bank']:\\n rows=cur.execute(\\\"select substr(transaction_date,1,4) y, status, classification, count(*) c from budget_transaction_candidates where source_type=? group by y,status,classification order by y,status,classification\\\", (source,)).fetchall()\\n print(json.dumps({'source':source,'groups':[dict(r) for r in rows]}, ensure_ascii=False))\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{\\\"source\\\": \\\"visa_credit_card\\\", \\\"groups\\\": [{\\\"y\\\": \\\"2024\\\", \\\"status\\\": \\\"covered_by_migros\\\", \\\"classification\\\": \\\"covered_by_migros\\\", \\\"c\\\": 88}, {\\\"y\\\": \\\"2024\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"card_uncategorized\\\", \\\"c\\\": 345}, {\\\"y\\\": \\\"2024\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"galaxus_review\\\", \\\"c\\\": 58}, {\\\"y\\\": \\\"2024\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"subscription_auto\\\", \\\"c\\\": 23}, {\\\"y\\\": \\\"2025\\\", \\\"status\\\": \\\"covered_by_migros\\\", \\\"classification\\\": \\\"covered_by_migros\\\", \\\"c\\\": 129}, {\\\"y\\\": \\\"2025\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"card_uncategorized\\\", \\\"c\\\": 438}, {\\\"y\\\": \\\"2025\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"galaxus_review\\\", \\\"c\\\": 44}, {\\\"y\\\": \\\"2025\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"subscription_auto\\\", \\\"c\\\": 28}, {\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"covered_by_migros\\\", \\\"classification\\\": \\\"covered_by_migros\\\", \\\"c\\\": 52}, {\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"card_uncategorized\\\", \\\"c\\\": 131}, {\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"galaxus_review\\\", \\\"c\\\": 17}, {\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"subscription_auto\\\", \\\"c\\\": 23}]}\\n{\\\"source\\\": \\\"migros_receipts\\\", \\\"groups\\\": [{\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"duplicate_candidate\\\", \\\"classification\\\": \\\"migros_receipt_food_household\\\", \\\"c\\\": 49}]}\\n{\\\"source\\\": \\\"raiffeisen_bank\\\", \\\"groups\\\": [{\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"bank_review\\\", \\\"c\\\": 37}, {\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"transfer_candidate\\\", \\\"classification\\\": \\\"transfer_candidate\\\", \\\"c\\\": 10}]}\\n{\\\"source\\\": \\\"akb_bank\\\", \\\"groups\\\": [{\\\"y\\\": \\\"2025\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"bank_review\\\", \\\"c\\\": 168}, {\\\"y\\\": \\\"2025\\\", \\\"status\\\": \\\"transfer_candidate\\\", \\\"classification\\\": \\\"transfer_candidate\\\", \\\"c\\\": 30}, {\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"needs_review\\\", \\\"classification\\\": \\\"bank_review\\\", \\\"c\\\": 113}, {\\\"y\\\": \\\"2026\\\", \\\"status\\\": \\\"transfer_candidate\\\", \\\"classification\\\": \\\"transfer_candidate\\\", \\\"c\\\": 21}]}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_SSqlUqX1qP1sK31j5rfbH0C1"
    },
    {
      "role": "assistant",
      "content": "Ich wähle das UAT-Set rein aus 2026-v2-Quellen. Da Migros-v2 aktuell als Duplikatkandidaten erkannt ist, werde ich Migros nicht produktiv doppelt buchen; das ist exakt der Sinn der Duplikatsperre. Jetzt erstelle ich eine interne Auswahl + Previews.",
      "reasoning": "**Considering transfer classification**\n\nI can preview and possibly mark a transfer if it already exists. To validate that a transfer isn't counted mistakenly as an expense or income, I might confirm one transfer as a productive mutation that the user permits. I think using internal descriptions, like a bank transfer, could help clarify. I wonder if I can confirm one as a transaction type of transfer to create a confirmed budget transaction status. I also need to verify there’s no budget status to avoid risks, especially since the user wanted controlled confirmations first.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering transfer classification**\n\nI can preview and possibly mark a transfer if it already exists. To validate that a transfer isn't counted mistakenly as an expense or income, I might confirm one transfer as a productive mutation that the user permits. I think using internal descriptions, like a bank transfer, could help clarify. I wonder if I can confirm one as a transaction type of transfer to create a confirmed budget transaction status. I also need to verify there’s no budget status to avoid risks, especially since the user wanted controlled confirmations first.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtqMI9MaM2DXET_OfLRvWweCi4IF3Rf1RUEOK6uucu7WwZARCAXMw5Axs2-NwlkucQoIDMK_uIzFK1MZRxZ4glp7mKcHnpmUWwZht3206BRGezY0zHnnIZ85Ts_h0faONyJ2g3KQ0RdnvHRXK6fe_WF0adtLoL2cREYdRsYXYv79Jls2I-lx6r0l0cWl0lepObN4dAOTpUXUnIttY_IZyj8i0jXBvps46OMSIoYd_hPRbNNshgvLMzvza9jNjmuz-DHjeBFqkNEW0JvC3--QNdXHs2lmuYAIlgYhQVaGTOEF-clAFSuu1sb8j5kwmauAH6EhLnxrQdDq7le64cg2Uxz67gZ3k9wlNbV8RIoku4n86lOrFdxCOtU-yjWoc4RCaEcO3-4xvRLJV4eVOzVdWOITBI9KaArhWPmdc4PpuGOqm91lFNM2xLXmwCl-g-xNWCxBS21zQDZ0rHgCL7osMe7zQI5AzkCO3hPx_h8q_QEOT0vr2P2kLYhrZevEnCsTraMSLoBsvUTiC5ai8BnNUJ72vp6wkRZnqTHBXOTqGTO3BVbJNDGCW87HpfHbkg_T_6FlQVbt7sQWwVUa3vl7Jp4ZDRbQ0ayF0OLi_HARZ7gpBpXxy39KmVNPLPP6LnuDPZJ-nNpKYzdw7ZcuOxMK2bvO0oSfqCB_ab64vVSo-8hyu-kzoQl8814fNaK4jlbOZKAYJDpK3sOIf9fVMG9p5nuY7iwvUBnS0jj_AW_zvOMK8k-xV-WgkvcJ9qxzuR8UHNNax6RsfqQ-WBGxv1TSAlYVKFj0q_oRk6D2LhCvHEje5ESJVRXbKzcKmlVHuhY8gKZUIBMltpY2uKDtHqREMnmcegozH_ryVVo_K4qKH-svcujBAVGP18GRZJpNZgz9R56Edp25E7LdGrBKT1_2zKjmTvpZQJAx0v7nqzeJEozL_aR6XzCNkDVDF-_nmA6ZV243l8cA2_6RSEmVTHi774MXOnwe2oUTBlKfyjLl6sigtYoPzxbR7SpwUb3DHsPht0RagTP_KnMzHLIhGU9243UKBZnfhJEs5-ICeJZwtV7-q3RuqSMz0Hmwa1rEtOTTwCuabI7zn9XG-c8dUh0Iue1BAurFuvUBETe1bv9asS0li6Occ5fW1SbdpPkSrgQ3hQ66iKAYbSEx_o05BInaSnYnsprwVxo_k6s9Qs8DL-wYseGy58wIPoUkxZc6kReve0PkqmgaAjp406Wa2HKG4xM2vVIDqkqWzsSVoNSG8K1YLBRDY1AT8pgclU2rXNA-dSqcrESER-pYOdUoGvWWUt_ixPGGhnZ3JtYKmpeNevW5sc4csShcnPKOj1NX0YK2H-Enuf625MeoCWhtfi_21O6Xs1tOUAJLo1cUy7T7blgnT4S6yJhumCXdl7Pm48vEVjbQ6oaDu2qwZ2Zmq_9ukG1dh5xQNRig8CxqYHuu29Jr-Abs1_Yh_3-zMZuIngODq6F1haQAxSCkjCNN5lL1i_rOjQGUHa4wurrjiysltuR_gzpJ7o2e0e1BlhQUO9ogqu39qVf8d54JKilC_7RSN5bc6YztY93zIpmAxZrPzNhJU0l0sfqVXRgdnqOvhCwNRKqHxqQT839NyZ0UcZBoN8NIkurIK9HFCOmTZ4kztByD7rM6Tpifj-WjJZC3WcvUr1gDFmbuOfAm9ZcIZq4Jyw1MWv_cN5lv9v0BXbJaRMEpExaKnXoot24tSVjQv2W2nvQPkcXn9I-SZpSHzOAHiknlXCA8WE4kGDIrLgOlgP7YmmJaq2V14x1czMokyhX7ylmObbnaPCeD9mojzNHNMx6YelrBC8jyvOCzIfKfVXw6jFBvHQk7G-rFzoMteqENfan6pGukgnW4pgy9M6oI33noVJ4SpE69s6b6Tz6EmspMzUlGj9WzMYGZ8BW6REwDAejxJYORFU1dVuRtL-4xOqdOonxROht0SpDQ6cM8-rofcCgYm8AHCw1jrBIk-p0ObZEX6RabkXISn8JhxfCSpDDL-DI_RsW73kDVtOVIbmWKGsP5KLjcbaVk9bSUz1BEAiL0hejb6za2aaeEC0UIqGjtovaI3mn8PkCepAuacdjjN5C39KumvlBZ5XERNjWpAmHGmyoVc3Ebd21NxmnddNR1ztpIU5Go8Q7RbUs7JKeOJ7MF8q7lxMfC8fwk28R0IKXrWp0lyTLItcVMSoQTcXgMzUgOmLqpavYAC--gB0abubw5_Qt2rKBNGRc7P9wqJVNxxT9-vU1Za1cPiqA5Zbt8yxTeIp3uDR1S0FP6DauwbUed-gJghrGhVe6MHnE6VaKijJCVfhV4zpsgUSr86hHK1ghXItNCCcL-VC_QMzXKH3P0vNHhoGc9qFVG2lzgKraKGGVBG70487DTB0frPj4Lv-4tydiWuXYWusvhFcty90kQM0NDtgnyLVLZWkz3I_qXMWgrYdYQ40SZUIbclTTYa4stlP-uQN57Tk9R_xiVPc04oK08uj_7wLJLiyHdhdwZmev1wVPe1revSpTyvyMhkWwY8rXL5SZX9IQ4LWYI-HOx3DK4Dhc97YFpaxQE-BvzNJjtxyiu8vUVBHD_eDnrr_TirDJnUxRSyaiI1Y66waWSr6x4fpLGzjyeTAgQLrdT0qCIKgdYblthnvD2dLs6rJ541SxLubi1U8xPPCwOYpPHIlsUOuhbo5lawTU6JVmUpnTmT6WG5Ljq_RiCGYGIEJbQ-SxmnRWKx-htrY-HarUHZtqagpmolaTtet5HrOjhSHgchYK2Sdn6AEV8PyrIMO-elEUmQ89q3sGXTljX8MlvyxqQkTF23GWIcAnTL-BAqpQZ5vXgfAKu--fcTLib7F_hjYtLdvd5SwKmnQX4H5NteNMeI_SM4zSNlUkMk5XKEeWAoxQEfT1--zpx1mFEb11bLxtnz9wRJphbLri0pnJ8SUtCPR-muWUNWbxR6cpD9clVAe5R_tNN9wDK1W4wTyzPNtNiEthyup9wNsTBadLpdyCa52m9RQjlK1-E1x2le8oQGTHzgagV0MMSo0HdhYS9xYFdsyPbFUKqiqTz5dcKmqQQCmgWJborqs_T6LRQFgB1ki0axvvXQgh6Z00l_FrqKM43BmFU3nhVJuVKY_Zt-vMoID3Xwr33TLtxvaxYCa1kSY0N8t3f7a1tso0PliBxIVbmfX0Br83ZxMiFX2PSKYqPZhIYtlULarmCxDnQUCkZMfM_asWgfMHVrsO3xWwCRrPj__nB5335RQL_s-5uyRtxaHaSFuuHRdl9sfpDt6at3Vfd_7tw1V5bG_ZHlkSit3zQkcpESEggvH5irn4R7L6n9vmvNWLo66mwCaifSxzBMredIzNka49kUgyPh7Q5k75BUEUophxPT9OGB7furqr_RcOsyOwAkhPJyzSBkYlQYYQKvIF4oT62mA8HsvvsNG11hJ-mGHlfCc6Cu8zEqibacBZufpPdDDKXkbtf4ibL5rhAHjJzZdSj9BvIf9IQvRIgVyUDiS94FzvrpyAQj-szmXNYjRKXwOUiw1NWKknARHrTKrzdZexmqZDJdbhC-Q-hct6pxto2dwoW7K0KxNg5Db_Y-UmR04AB7f7unWeHDywnbV8SLGI7vZCHdrgJccCbDR6d9bwu3MtBQEHD_p2csGaCti-rWrEIFgg-0Bun6KYvBbukg21m989dsDi4oydQsxConjv3WJT5nsjXa_OZ0NR-eL_LF3BBxgNZfSblcl3ejRZ7sL7BFgdRMtt_ETRYi9H3jeBszys0Cq6D1eOEcfBYfgqEv0YMRS80X5QDdZgyJD2_K5yTCS6YF9UEP0UDa-J3IgTHjOeATFvg1-ViglTfT1j06B9maniCSFppjUSbgywngtUr4sO6EWjHGxqGSsf2ptz00ldyKwOb09wr2E2YL_wc1DaQk1YKpSvDcNXSkUoS95c1TI3hhErj3ySWffwKTuWi4wBcLtv6QP6SlcAAw-Ft7u0tJ8MBiMvBNuEpvgv73Tj9YrZTGwxB1x4PFE_CV8dwxhc4Q65T0BCW-f2bBUR9fMCMgLcI_h-RR_ez3symSsrjojtcSOPBD6psAWfwxhEuZ5eA5PjSio9_NkM5oWMANZS8U2aAA2_WYzedgYLgVs5KgWtDHNLFZLTzlmpgNCAVT62s7IzpT8pXTvOKHJOIV6I11M4W1MIKS1OT51Vb6H0dqRWCqLZ4fRLAcp9VZ28ufu58a-oQwKhFduXpcun-k2BwDxJ2LV_AtnxfgpY0dxPmx6PYk_avcoiZeiyHrAN6eZtBBk9JzTUWKJqUUbFXdfQCl5PBY9abxmEvAaBNgzgWUpfEbO6awGE0kyGx7KHW44Uj2FLWY7wkEVnQB8EzB_gTF4vTcOYFG5D6vGlslQBT1FZAfenDJcRqO3YGduQEKSg32H2KxzhnKJ3Tz7CwlbU8Yq7an_r4dddJ835-mB8KgPgKEcgqaQmRAyhFj7T3OSa8AwDZCHqln4L5ONUTapgVPsbRCW1SR7qS35Zic9e2hv8r_Yma2QBkhAd5sMltU67SaRfD4nQEEc4pNQdVqM-5kYLvYhO6MjSIlxsHBKHZdbbeh1CEmSUL9Pn1M6FDBFQ79O2epij9JFj_EQGS-sb80wiK_A1f1krrl6_tg26CF83_ruCpAIhM_9Cl4U91bm2ZyI7KxlWVcKindAtcW5NQ3ZbTY_b7f14vJ7d3L5xtNUG99DsFyxGWbzuQ6HtcjVKhlme1zZ35KmQQVgsRj3tsUKk-TVcCuoRsXNGi8CQMPxjTLkJn0BbBwNX_tbe9m8DaeOwGKMwv1AZV9mi7aLwSmI7VHD8KbcrJh2zU3ZGr0Gw7g0k8ymKfRlK6v2rDaIjGat6Zm5CIfdcSa-GrOjRBSsDaFJtiITPXnzJKrSGIS5jgeR6bwLrT-qBvj1yESXGnpOJPPGduRlxLAHP2P_yNtofpqkuQlGgfhNu9M_ez3aUzPMLb3dtOjFafcesDIakzY8Bj2TRLgwyT2y4DCeGnwnbs3tT5b4fp8UWLnmsQ-PAaE74kxiqkMaEmpieuG9baErnKN0zJU-UahWNUp8GeMLKJ749gawrEGOhKgnuV8b_UZCjgtUTywNJGXKV6YqLGXqYQeWpz61sTxQnXxI2Pc4B9qMYaJu--9R0rGqgKtRLsbWLPqHHtScIohLdYQNGHNNmyGcK177dMLQtwVfsV9Acp-wNl7saNtQ3ou9BCdQRuwAs-3gsAUzzCkLFtQb9Y0XUYMNhhNorGfmRXv7prtPTA09SU8DX_GV4hp5nrPWQVKU54XtVu8pGEaEHaN40GVXyfkBjTunRfqh8umNvMNeJl4xzo-sbsXiJpipiTDlnCEdDoHHgxe_0XJfyk4aEZmSL6l5nZIeVWJZRXoIoutdgbWaF1_TqPolGDtDs7hrmiUyMkhrCAco7rysiG8YcCIvQgYwN9zu8CyKcP4SRDqR74PCdK9OL25fi9IUuXzWnApeTCqqeJSEdzsZZZg802FlTCAkLd2pV-03_Ya0m9he2cSQydDPwyNKFwhWWeFKuZevtMv2Ps6rLFX2RvlzZnkatLGA8h2TehZGKJbxMjSJIHA_6SVkwU1MYR2MiRdQo-sNFhKouKIYhD0kycmqYXt-f4iC5RbtfjBLmIiRUsFFPEEjdnxU3tiHQURP0D0mbBSZ1MFtkL6JgA7_B4ePJEcEKFBDjNHBb8VojCHQn9l47FaidVTyxRYqD4rEPYVmjPfq35RU2VnZYKD0Ef87Qj4f3C5MCUeXPq4x6QcVK18qcH58nxTXFqawRrn8MYYt_hJdQrEzq0chdMZE85c0QawiiiPR9kXq6rOGkP2n3iiVnE_bMrTSOxMiI4M6Gy6tOT4K0So9cgmWJ3mkNNUW8CqLs=",
          "id": "rs_09aa95dd40d653f4016a0ada7c5b748191a95ab8ec398a5859",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering transfer classification**\n\nI can preview and possibly mark a transfer if it already exists. To validate that a transfer isn't counted mistakenly as an expense or income, I might confirm one transfer as a productive mutation that the user permits. I think using internal descriptions, like a bank transfer, could help clarify. I wonder if I can confirm one as a transaction type of transfer to create a confirmed budget transaction status. I also need to verify there’s no budget status to avoid risks, especially since the user wanted controlled confirmations first."
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Ich wähle das UAT-Set rein aus 2026-v2-Quellen. Da Migros-v2 aktuell als Duplikatkandidaten erkannt ist, werde ich Migros nicht produktiv doppelt buchen; das ist exakt der Sinn der Duplikatsperre. Jetzt erstelle ich eine interne Auswahl + Previews."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0ada8c702c8191a6a43ee2a3516222",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_kdFO6skU5tFVcR24kxwjRqhu",
          "call_id": "call_kdFO6skU5tFVcR24kxwjRqhu",
          "response_item_id": "fc_09aa95dd40d653f4016a0ada8e06008191a7787088f789cb46",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3, json, re\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\ncat={r['name']: r['category_id'] for r in cur.execute(\\\"select category_id,name from budget_categories where is_active=1\\\")}\\naccount=cur.execute(\\\"select budget_account_id from budget_accounts where is_active=1 order by created_at limit 1\\\").fetchone()['budget_account_id']\\nsel={}\\nsel['visa_subscriptions']=[r['transaction_candidate_id'] for r in cur.execute(\\\"select transaction_candidate_id from budget_transaction_candidates where source_type='visa_credit_card' and substr(transaction_date,1,4)='2026' and status!='confirmed' and classification='subscription_auto' order by transaction_date limit 3\\\")]\\n# clear visa non-galaxus by known food/transport patterns, excluding migros/galaxus/digitec/subs/covered\\nfood_terms=['coop','denner','aldi','lidl','restaurant','mcdonald','burger','felfel']\\ntransport_terms=['sbb','parking','parkhaus','easypark','shell','avia','agrola','tamoil','migrol']\\nrows=cur.execute(\\\"select transaction_candidate_id, lower(coalesce(description,'')||' '||coalesce(merchant,'')) txt from budget_transaction_candidates where source_type='visa_credit_card' and substr(transaction_date,1,4)='2026' and status='needs_review' and classification='card_uncategorized' order by transaction_date\\\").fetchall()\\nclear=[]\\nfor r in rows:\\n    txt=r['txt']\\n    if any(x in txt for x in ['galaxus','digitec','migros','cumulus']):\\n        continue\\n    if any(x in txt for x in food_terms):\\n        clear.append((r['transaction_candidate_id'], cat.get('Essen & Haushalt')))\\n    elif any(x in txt for x in transport_terms):\\n        clear.append((r['transaction_candidate_id'], cat.get('Auto / Transport') or cat.get('Mobilität')))\\n    if len(clear)>=2: break\\nsel['visa_clear_expenses']=[{'id':cid,'category_id':cid_cat} for cid,cid_cat in clear if cid_cat]\\nsel['galaxus_review']=[r['transaction_candidate_id'] for r in cur.execute(\\\"select transaction_candidate_id from budget_transaction_candidates where source_type='visa_credit_card' and substr(transaction_date,1,4)='2026' and classification='galaxus_review' and status!='confirmed' order by transaction_date limit 1\\\")]\\nsel['migros_duplicates']=[r['transaction_candidate_id'] for r in cur.execute(\\\"select transaction_candidate_id from budget_transaction_candidates where source_type='migros_receipts' and substr(transaction_date,1,4)='2026' and classification='migros_receipt_food_household' order by transaction_date limit 3\\\")]\\nsel['transfer_review']=[r['transaction_candidate_id'] for r in cur.execute(\\\"select transaction_candidate_id from budget_transaction_candidates where source_type in ('akb_bank','raiffeisen_bank') and substr(transaction_date,1,4)='2026' and status='transfer_candidate' order by source_type, transaction_date limit 1\\\")]\\nsel['credit_card_payment_review']=[r['transaction_candidate_id'] for r in cur.execute(\\\"select transaction_candidate_id from budget_transaction_candidates where source_type in ('akb_bank','raiffeisen_bank') and substr(transaction_date,1,4)='2026' and classification='credit_card_payment' limit 1\\\")]\\nsel['investment_transfer_review']=[r['transaction_candidate_id'] for r in cur.execute(\\\"select transaction_candidate_id from budget_transaction_candidates where source_type in ('akb_bank','raiffeisen_bank') and substr(transaction_date,1,4)='2026' and classification='investment_transfer' limit 1\\\")]\\nsel['income_review']=[r['transaction_candidate_id'] for r in cur.execute(\\\"select transaction_candidate_id from budget_transaction_candidates where source_type in ('akb_bank','raiffeisen_bank') and substr(transaction_date,1,4)='2026' and classification in ('income','income_candidate') limit 1\\\")]\\nprint(json.dumps({'account_selected': bool(account), 'category_available': {k: bool(v) for k,v in {'abo':cat.get('Freizeit / Ausflüge / Abos'), 'food':cat.get('Essen & Haushalt'), 'shopping':cat.get('Shopping / Kleidung & Elektronik'), 'transport':cat.get('Auto / Transport')}.items()}, 'selection_counts': {k:len(v) for k,v in sel.items()}, 'selection_file':'/tmp/budget_uat_v2_selection.json'}, indent=2, ensure_ascii=False))\\nopen('/tmp/budget_uat_v2_selection.json','w').write(json.dumps({'account_id':account,'categories':cat,'selection':sel}, ensure_ascii=False))\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{\\n  \\\"account_selected\\\": true,\\n  \\\"category_available\\\": {\\n    \\\"abo\\\": false,\\n    \\\"food\\\": true,\\n    \\\"shopping\\\": true,\\n    \\\"transport\\\": false\\n  },\\n  \\\"selection_counts\\\": {\\n    \\\"visa_subscriptions\\\": 3,\\n    \\\"visa_clear_expenses\\\": 2,\\n    \\\"galaxus_review\\\": 1,\\n    \\\"migros_duplicates\\\": 3,\\n    \\\"transfer_review\\\": 1,\\n    \\\"credit_card_payment_review\\\": 0,\\n    \\\"investment_transfer_review\\\": 0,\\n    \\\"income_review\\\": 0\\n  },\\n  \\\"selection_file\\\": \\\"/tmp/budget_uat_v2_selection.json\\\"\\n}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_kdFO6skU5tFVcR24kxwjRqhu"
    },
    {
      "role": "assistant",
      "content": "UAT-Auswahl steht: 3 VISA-Abos, 2 klare VISA-Ausgaben, 1 Galaxus-Review, 3 Migros-Duplikat-Bons, 1 Transfer-Review. Es gibt keine v2-Kandidaten für Kreditkartenausgleich, True Wealth oder Einnahmen im aktuellen Runtime-Set. Für Abos ermittle ich jetzt die passende vorhandene Kategorie, statt eine neue anzulegen.",
      "reasoning": "**Searching for categories**\n\nI’m trying to locate the right category for subscriptions since the options I found don’t seem to match exactly. I wonder if maybe there's an issue with the format, like a slash that’s preventing it from showing. It's possible that categories like Freizeit, Ausflüge, or even Abos are relevant but not available. So, I think I’ll need to search through the available categories more thoroughly to find the right fit.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Searching for categories**\n\nI’m trying to locate the right category for subscriptions since the options I found don’t seem to match exactly. I wonder if maybe there's an issue with the format, like a slash that’s preventing it from showing. It's possible that categories like Freizeit, Ausflüge, or even Abos are relevant but not available. So, I think I’ll need to search through the available categories more thoroughly to find the right fit.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtqko4SgpaDm7MnIz2xoYFjupbxwUa5kV3K7NmdqXvbxszUTUXeNxsZJ0fDagDGXlhpYq35NmDK_ZRDExo6X2_YcqBdezo6QJLr7JYiMD4aIE-s6bgHWUTHyapiLkskLh9ewkBSpcSHPN2zdAMlk-1DEed7nOPdPmRakryqTG-zImPDEbg7zx_7_FySXUYG5kIOv9n-xHhS-wDgd5tCChLBm0ZcCgXDs2tdkQwLpwMV-QEd3csEIt3H-kBjSKa4F3PjLduReS22Z0Ip_d28ih04mH-LdrROIc209dJP8Y7BXUUvdc1KNu9pr1zSb7ZtDbPoLDjB09ivAWrXv--Yz_OpMcwqGtM0DX3m3K0F1cKWNKelr61GIkmGveB9kWbPh40dDbMzrsupxvXMYFvPOaRUtlBbG9FXFOtxF8xo_6G1wkIGjsTMSXcTyTnS4UQ2lnpDu9-85iRhq4gb8BpmRa76xYTptEzJ8ML2hSru_br2Okedtgit6DB7nfMM-CXa8ScV7dL9jUoxoLN8wMjeg6JAI0UaB2ygtw4nx-eJmq1pSpGWgv4v4Ex7lMmO6iPY88Lej4V_y7hzwvqwUJyC7lZJORW-ztH8BxYiJ8YeQGg_CZFMaBNepVstZeEBsz2FwmnDbwTKr5kMuebatKUoCH1dAxRyfU0e9br-E683KQtfGnpDJEsHDFsrSH6q6CA7VN_ZG28VQwlJMlQ37SVPcBoq33tmVcvn7TimSjHAywmCXLPaT-aBJeqrJnOprfAOEfXJBZbLiJPoy_cOvOpkGf2ppxBTGJ-yGNWwcEYkHcwy_mduFKHpJq6pinzSdsxBIxNdDyIojqIoN6MAVKUGOJ_lUgTsDD9OXB2OSOKjEuYPvUZC8dE9z8rq0cDp16cF3BdPvJERFJsqzsO-crelRkeMjxn61XfXsqami_za7mBLYo1lPuzxxKW2aD6c84DDP7J0rA_PfUybLMSyXb5_86Lhq1xolDYUx-iSKwEOu1-vOj1StshTKoJhgYWOn1zzjYEKAslaGDxu6shFXvklyFN_LzJto4ZIJtJ-Hh43hZTPo28e-fQoE8TKiVWEe6Nd4l3YOBbMTVUy_DrU_lXCwLDZ-BjfL3oCHPaP7BQOWuFvsns_pwUaqIOipAInFeE4MMppju4AdpWAwtEEv5ih2llHbrA==",
          "id": "rs_09aa95dd40d653f4016a0adaa269f081918166c7f4003b2746",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Searching for categories**\n\nI’m trying to locate the right category for subscriptions since the options I found don’t seem to match exactly. I wonder if maybe there's an issue with the format, like a slash that’s preventing it from showing. It's possible that categories like Freizeit, Ausflüge, or even Abos are relevant but not available. So, I think I’ll need to search through the available categories more thoroughly to find the right fit."
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "UAT-Auswahl steht: 3 VISA-Abos, 2 klare VISA-Ausgaben, 1 Galaxus-Review, 3 Migros-Duplikat-Bons, 1 Transfer-Review. Es gibt keine v2-Kandidaten für Kreditkartenausgleich, True Wealth oder Einnahmen im aktuellen Runtime-Set. Für Abos ermittle ich jetzt die passende vorhandene Kategorie, statt eine neue anzulegen."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0adaa4aa8c8191a0a17b4ff81709d7",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_5Tk1ZLa8N6IpAdj08d8AmeB6",
          "call_id": "call_5Tk1ZLa8N6IpAdj08d8AmeB6",
          "response_item_id": "fc_09aa95dd40d653f4016a0adaa564c881919616982ae97041bc",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3, json\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\nfor kw in ['abo','freizeit','ausflug','stream','sonstig','shopping','kommunikation','entertain']:\\n rows=cur.execute(\\\"select category_id,name,category_type from budget_categories where is_active=1 and lower(name) like ? order by name\\\", (f'%{kw}%',)).fetchall()\\n if rows:\\n   print(kw, [dict(r) for r in rows])\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=120)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"abo [{'category_id': 'bcat_expensefreizeitabosausflüge', 'name': 'Freizeit / Abos / Ausflüge', 'category_type': 'expense'}, {'category_id': 'bcat_leisure_subs', 'name': 'Freizeit/Abos', 'category_type': 'expense'}]\\nfreizeit [{'category_id': 'bcat_expensefreizeitabosausflüge', 'name': 'Freizeit / Abos / Ausflüge', 'category_type': 'expense'}, {'category_id': 'bcat_leisure_subs', 'name': 'Freizeit/Abos', 'category_type': 'expense'}]\\nsonstig [{'category_id': 'bcat_73be2f95230c462c', 'name': 'Sonstige Einnahmen', 'category_type': 'income'}, {'category_id': 'bcat_expensesonstigesadministration', 'name': 'Sonstiges / Administration', 'category_type': 'expense'}]\\nshopping [{'category_id': 'bcat_expenseshoppingkleidungundelektronik', 'name': 'Shopping / Kleidung & Elektronik', 'category_type': 'expense'}]\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_5Tk1ZLa8N6IpAdj08d8AmeB6"
    },
    {
      "role": "assistant",
      "content": "Ich führe jetzt die UAT-Aktionen kontrolliert aus: Kategorie-Override für 5 sichere VISA-Kandidaten, Preview, Einzel-Confirm, Migros nur Preview/Duplikatsperre, Galaxus nur Split-Draft/Review, Transfer nur Preview/Review. Keine Bulk-Confirms.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtq6g9w0KYbIGKbpT27zmVMB420Fvnnx94H1hRsI_wGGsnhd61PGaqjB6dWzjO73xVvxZjnlNp2aDvLEJyUhs6eUKQ0VWuCJE7Rke-rMegIlY1hqUqs8Pusg5eAopF7vBteTy9MwFNStjhiwavHuAMbN5Qk6lMx60jY0LGNztgre4HOO9a-Z4Azg9UHaKGefqe1cgCm1hSFmcteVnM05zC9ry-cPuNLGDkoO86b5wAIxjOwZo1mSMPDxIRLhpCFr28jAOCgXKhVqhJIqDyMvdHijlCuNvQ50O3CvR-kyf2jVDIi3a1u8QEfE5qTAralC31upbv-lqFu92-SL6Ubv0Nz4iWXGx8zaDbJ4hLcb2OSyCNBsvP4F80NBk4wl2ykOPQ43SfRjf2QJgGQsPIH5rm6nWkv9rXTgOivaoMQi9V4kBdmy6o0OX8btkNv-YcUci6TXw5Wr0BN7HrSOc6s1i8qzB9YrUnj5SOtNPc0vZaGlui0Cbe10QXGDDHcNY8EcVeXq-y5ZLZ5iypqXp-xbztDog_fz0w3Y2zH-0RzEKREjhn7ULc3rGLqE8ambfvZuc2RqPoojZXVLw8zSzVYzN05mz3leaLcxUzu3LYUPV9KA3b2AL9HxoU-DjrIEaaimLkxIfXHKFfmoKKal_KP0Nzd1VbnO9IUK5CCriPOvl1aoT6VBnVnzK_0fzdNw8qQ3S6WdEpEX5PMwviStZKuR4Zu8sD7YqiJNg3UV4E7HYVZfwIhRZB52mHFt-z7OVaJyp9BtuoloGSXklsERt9CBRpejq07a9t4a9HD-sQ9QiJlOwHfWZhUVq5Yfy3LbKS1UBZIbabAxDsOi1FhaAh-Kzls7W-DOuzhwIrh3zBLXYeipBkXRJY_gjXsC1gRa-xHQSYH5iZGjKUp0OhEkUFasCrJhhiHTHBUKqVNBgmKbJ6ii92GK6FnT27PPeG7S42-Cz5tltnF5hTZWhIEVUT14YapqBHzqpTN0iguSTklgQnOA_gFAa734AXjmH0_URVasZAgxYrr8Gre3Cyz2YLG3Z-c44P2CZiMAgCf257KYPB-WY8kbE_fcJZ-DM3fCPFz6upQvD8Qro7Xgnj8QALD4mRsuvUsfTQOi9bUJdnqWO1uFs2G7YZOM3D4kzLFX2mn8HjT2Bwa7FxdsCiVU72-QbbYJFn9gHB720egOhk4wt6mdrPfpukaCs2m07xd95iwzTimU9dv97IEe8ZFzHw1MovOgdIp--XB6CacOmj2Dr5OAjm2fxMwU6P5QpEdeE19vVZ8TK0iZm_y9XFrfB4Dy-hl5sS9YwyddYfK8U1OM80Ep5R3Eg9LfV06zaL2lgl0pJht0kTZ3j90bIPCqBLuPPvD9zTUd86LX48XmZy2AdUiVWszk-korC_SqHrVT7SSUy7N2PXk9aFZxCd-kSwFGirQH7ZL2ch2_-dgWPI3p337zUc2jex_pHUzb5By7lavJsIy8PgrAoufoUxXeTyUiFIGrXoFrJMUJ8cx1B3h2DACKiwNXi9c3SqD-8M_VkRqdqbZq1biam7-LE7_wbYRVvk2Pzu1XkTJSwmv7uX_H1zd9yzIIkCqOhyLIraUlp4kxQv7z9un9IInf4TECSl4iYBDvfX2s-uOVHIJEwRVnGdZBBunR9rbTxREOTfYy01kmGVciRIchAjimzixfhn30Q--gyShr_iSedV2ZCc-nfXRf3GhgVqcZBLr58W2jJae4ZwI0ZTr7lzxdguxm3n9rPUuaPOHX04w1Vv4OU_ywMFT1RjXnxG_Smu3aD49rnEf59yRSrUloWtFxpo1WHXjpeqdXKm016Vw2P1BJTrhBffgWE6tOGwlGfl_iki7y-LFWcMq_OUYnqCs5eSO97oDVHzIKsAZ_ptCAwAcfzTXnyAHyNNX8BQuPbRn-aEud9OmGeIHcs0JhvfERYwmfNKHapE1bYWX07Ibk9mmuMuuse5Z58mVano2BJAQg_Vqanta0MM0FgpZOyB7NTmX92m9YQql5_EnOToEf8ZBvzz-IN8Az326Eign-3Tg2LZPdnR-yPgFtvcU02Dwah4L7yWMJjMSMVkzMFQUpiMR21dXHH43nAs2d-AgHeagJRyOXK1GGZWuQ6PQT-2exfqkMfyxVGk0oaXxJr0kpY9eomeHTmTDVnYPnFXAXVO6jg_dbAsGCDKqJPMk0d6CW77y8PWsq0FnPkD4ggCp2vfvpOxzfcg0iMaD9W4P8nIJemFN3E86OdQruG82yW0ra_Caa7MPvqONAa26AJb2LnG5mMQHBhUNKra2dTxXWOoejDdcZYRwMY0GFnSt7O5_Y6M-lW2Dryjhpgv86H20kNsTUynhdHiWUgfVlsMEdva1SI3gOjP82uI7T_Bq029UNM3lN_8c0WIfKmYfXCG85VNapn5RuGSn1YAeWbTaUFpxyCwVa9OwBgdmLhKXFm5D3J6KkKeDuJsL1071vV25ANqcNoorEXj2QEyAGvckUJ5maCt4oDOOVNGsJrRJQYDWdoUcE0fwI7lSHLuanN7rZQr56x_f6Jih6EJYppFjCWB2bBi7FbrjLjmot_JY0dJSq3B6C-oa8GwMeVcci8qZnaB6MlddDednYcVs3mq63s8-Ikg32KJOCRLoxcjJCVjN_uGGu-ykxejRoNtVnKPEFtXEfqiyWq1MFvR6LV5iZszIsnOGSmSPTJvXvBOlwZu2TJpMcw9FFb7n8jbLcuCClyG6Sb-HRG3KcEXYJu8RdKuPAWB87XaciD9vP7Ktfg0c7yITvPmC67e5yNjFgE1FSAdmH37MB08hmVusMbMzL67PCxh7e3yHNx-I7beJT44z6R3dWorfcvuvLMMDvYXzFR8Wp3TY1pQE1iBV6i8QzGxOlW-HBrjdthwv8QZwHvWSXO4neRDw5kPuXCmeaaDSBhDpSp-KS97TT6oRKrsVhvKrxwSpuv0nlAhdA6fGdWPgUCmOZlr52nQ0CDV4Pwk_OEZ2PCX9BEKT2_g53hJwcS0IA-GW5n6B2aj6n4MZrrLF2FyMHaYYlkXd4graAY-DdQQQ38Y6F3o0eBxf0fwsdVe5kEdAyG65ytRPDb-_9DSzYWKlWLTbgd6N3_6que1gnD_Q-NZHykbGhTG8yuiKOIWmdrQtPBC1J7sJWER8KuU5xZ2mhKpvbps8xTjZ3KkvzwBLpRahKwg_EfgJfmaAibp-RNPpXJ_E9_xZhhFb1SMJoKwzp0V6-gZcK2BzR4q2x0NJSbCVScmM2rBbGXldCfESxZLVmoqNO-FEIbl9AWItTjtywgZlYhihxGikrZAuvhp7OEKa1VH7RAOza7pSykVP_4bqbSFAUkF5-RWdq8NX3UDI5kX64Lhk_-zbNAmRz28mwf-qGhUcWsopp4lkvtUkPN35ueKZks0vVfquQ-nz0bWefg2nGavoc89sdbAvk3tYXw-dDMaJP7hBzGyJvKLnWOJd19gv4w4lSDeR1eU7tc8ruCRrCpPyc5PUwPfHkeeWzyGvLWJAjmzx0LFUVnwtsp6jkcMGSyDc9hVUP1cgAouR0WnAyv0cZ3z_LTk6rnIhcosQ8bfSS6iFz_6A1BLz6cWq71_rYn7KIhRnA9sB0rlfAcN9hN4DCEdhzgBamkddycSktRud7I-cxeuBziVsv7_d0o-QdCbZ3DdL0E_dv7JLlzpeCT-dzv3smgLi0VkoqNIq2Y5_pUXMtkhYZXuwSFpukr_9pE8xPAmYbxPhbyoWnx9t8Aq6-PBbSIJPf9m5xS0KoaG4o9KtW8Z0gRCWXXGsgX4xq5yTR3xNc13xqIBdmP_YoiumGP_D7XCi9jBQRS1t_4ukiUhe6Xp0Dmt55TN-5Q7vs0lvbnQDeu85kuZuH43ZTdBYLTBIp9SRwy3lmIZgH5OBOGKPVT0Ec1JpFKRmCbWyy7Wc4iawEGtWwH_-7AZVDAUoWNntB2ZhwviSg5sFwgHPN9HqLIA-WkK9VT19Icr4ZuHwe6tyZFu2kcFkZ6yByyh_uhzqEeXqEly6dSNF4cR9xZUoYbRWB_bMPcZXd4B8CM0bdqD7uF5h6dIDGOfkcjVGHQwVM6kswqiJNtldzmF-7yCZHRombfvH1Ox5lshuuMKF7WxddFP-Q78VWV1tQNmlCijyqXGfhw4dRISSGh1zmdaMnYUkdCG3yfc0pHpj7-lNkUcHdcChG2LycAgBmKUmjcyVEKujurrMcAm-cq48_SlumOhrz5SAthhlkSyb9SdPeBo3WUB7c33_9avJzOsw5Y9107LZ-9bMeUjfdf7WO8D_q_47IE_PqPuAEM8vJiMFkCBdLoU6cOWBsh0PfJ3XVl7hrkYbQaz7my6NYkxQ21proWbBKsb0ALvs0Dd6qAA1EoThYeNnSKjTnEd4u33XJ-1it2D9M-icfm1DXDVqOQ1x5GDaOIw7CKuBZWpzhOkgM",
          "id": "rs_09aa95dd40d653f4016a0adaac79ac8191aef39dd16f3d7b80",
          "summary": []
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Ich führe jetzt die UAT-Aktionen kontrolliert aus: Kategorie-Override für 5 sichere VISA-Kandidaten, Preview, Einzel-Confirm, Migros nur Preview/Duplikatsperre, Galaxus nur Split-Draft/Review, Transfer nur Preview/Review. Keine Bulk-Confirms."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0adabaed0c8191b0558934677ed14f",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_A6Na1SwUu5tXGA4mvmFQnH0x",
          "call_id": "call_A6Na1SwUu5tXGA4mvmFQnH0x",
          "response_item_id": "fc_09aa95dd40d653f4016a0adabb641c81919c508564dca7fd26",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nimport sqlite3, json, sys\\nfrom pathlib import Path\\nfrom jarvis_finance.services.budget_imports import update_transaction_candidate_category, preview_transaction_candidate, confirm_transaction_candidate, create_candidate_split, mark_candidate_type\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\nsel=json.loads(Path('/tmp/budget_uat_v2_selection.json').read_text())\\naccount_id=sel['account_id']; cats=sel['categories']; s=sel['selection']\\nabo_cat=cats.get('Freizeit / Abos / Ausflüge') or cats.get('Freizeit/Abos')\\nfood_cat=cats.get('Essen & Haushalt')\\nshopping_cat=cats.get('Shopping / Kleidung & Elektronik')\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row\\ncur=con.cursor()\\ndef scalar(q, params=()): return cur.execute(q, params).fetchone()[0]\\nbefore={\\n 'transactions': scalar('select count(*) from budget_transactions'),\\n 'confirmed_candidates': scalar(\\\"select count(*) from budget_transaction_candidates where status='confirmed'\\\"),\\n 'audit': scalar('select count(*) from audit_log'),\\n}\\nresults={'confirmed':[], 'previews':[], 'category_updates':0, 'migros_duplicate_previews':0, 'migros_confirm_blocked':0, 'galaxus_split_draft':0, 'transfer_preview':0, 'transfer_confirmed':0, 'errors':[]}\\n# VISA subscriptions: category -> preview -> confirm one by one\\nfor cid in s['visa_subscriptions']:\\n    try:\\n        update_transaction_candidate_category(con, cid, abo_cat, 'UAT v2: sichere Abo-Kategorie geprüft')\\n        results['category_updates']+=1\\n        pr=preview_transaction_candidate(con, cid, {'account_id':account_id, 'category_id':abo_cat, 'budget_year':'2026'})\\n        results['previews'].append({'kind':'visa_subscription','ok':bool(pr.get('preview_id'))})\\n        res=confirm_transaction_candidate(con, cid, {'account_id':account_id, 'category_id':abo_cat, 'budget_year':'2026'})\\n        results['confirmed'].append({'kind':'visa_subscription','candidate_id':cid,'transaction_id':res['entity_id'],'audit_id':res['audit_id']})\\n    except Exception as e:\\n        results['errors'].append({'kind':'visa_subscription','candidate_id':cid,'error':str(getattr(e,'detail',e))})\\n# clear VISA expenses: category -> preview -> confirm\\nfor item in s['visa_clear_expenses']:\\n    cid=item['id']; cat_id=item['category_id'] or food_cat\\n    try:\\n        update_transaction_candidate_category(con, cid, cat_id, 'UAT v2: sichere VISA-Ausgabe Kategorie geprüft')\\n        results['category_updates']+=1\\n        pr=preview_transaction_candidate(con, cid, {'account_id':account_id, 'category_id':cat_id, 'budget_year':'2026'})\\n        results['previews'].append({'kind':'visa_clear_expense','ok':bool(pr.get('preview_id'))})\\n        res=confirm_transaction_candidate(con, cid, {'account_id':account_id, 'category_id':cat_id, 'budget_year':'2026'})\\n        results['confirmed'].append({'kind':'visa_clear_expense','candidate_id':cid,'transaction_id':res['entity_id'],'audit_id':res['audit_id']})\\n    except Exception as e:\\n        results['errors'].append({'kind':'visa_clear_expense','candidate_id':cid,'error':str(getattr(e,'detail',e))})\\n# Migros duplicate previews and confirm-block probe without allow_duplicate; rollback? no, call confirm throws before write.\\nfor cid in s['migros_duplicates']:\\n    try:\\n        preview_transaction_candidate(con, cid, {'account_id':account_id, 'category_id':food_cat, 'budget_year':'2026'})\\n        results['migros_duplicate_previews']+=1\\n        try:\\n            confirm_transaction_candidate(con, cid, {'account_id':account_id, 'category_id':food_cat, 'budget_year':'2026'})\\n        except Exception as e:\\n            detail=str(getattr(e,'detail',e))\\n            if 'duplicate' in detail.lower():\\n                results['migros_confirm_blocked']+=1\\n            else:\\n                results['errors'].append({'kind':'migros_duplicate_confirm_probe','candidate_id':cid,'error':detail})\\n    except Exception as e:\\n        results['errors'].append({'kind':'migros_duplicate_preview','candidate_id':cid,'error':str(getattr(e,'detail',e))})\\n# Galaxus split draft only, one split equal to full amount into shopping, no confirm\\nfor cid in s['galaxus_review'][:1]:\\n    try:\\n        row=cur.execute('select amount_original from budget_transaction_candidates where transaction_candidate_id=?',(cid,)).fetchone()\\n        create_candidate_split(con, cid, [{'category_id': shopping_cat, 'amount_original': row['amount_original'], 'notes':'UAT v2 split draft only; no productive split confirm'}])\\n        results['galaxus_split_draft']+=1\\n    except Exception as e:\\n        results['errors'].append({'kind':'galaxus_split_draft','candidate_id':cid,'error':str(getattr(e,'detail',e))})\\n# Transfer preview only, no confirm\\nfor cid in s['transfer_review'][:1]:\\n    try:\\n        mark_candidate_type(con, cid, 'transfer', 'UAT v2 transfer review only; no productive confirm')\\n        preview_transaction_candidate(con, cid, {'account_id':account_id, 'transaction_type':'transfer', 'budget_year':'2026'})\\n        results['transfer_preview']+=1\\n    except Exception as e:\\n        results['errors'].append({'kind':'transfer_preview','candidate_id':cid,'error':str(getattr(e,'detail',e))})\\nafter={\\n 'transactions': scalar('select count(*) from budget_transactions'),\\n 'confirmed_candidates': scalar(\\\"select count(*) from budget_transaction_candidates where status='confirmed'\\\"),\\n 'audit': scalar('select count(*) from audit_log'),\\n}\\n# verification per confirmed\\nverify=[]\\nfor x in results['confirmed']:\\n    cid=x['candidate_id']; tid=x['transaction_id']\\n    row=cur.execute('select status, confirmed_transaction_id from budget_transaction_candidates where transaction_candidate_id=?',(cid,)).fetchone()\\n    tx=cur.execute('select transaction_type, source_type, source_candidate_id, status from budget_transactions where budget_transaction_id=?',(tid,)).fetchone()\\n    aud=scalar(\\\"select count(*) from audit_log where entity_id in (?,?)\\\", (cid,tid))\\n    verify.append({'kind':x['kind'],'candidate_confirmed': row['status']=='confirmed', 'linked': row['confirmed_transaction_id']==tid, 'tx_exists': tx is not None, 'tx_type': tx['transaction_type'] if tx else None, 'tx_source_ok': tx and tx['source_type']=='import_candidate' and tx['source_candidate_id']==cid, 'audit_count': aud})\\nline_items=scalar(\\\"select count(*) from budget_import_line_items li join budget_transaction_candidates c on c.transaction_candidate_id=li.transaction_candidate_id where c.source_type='migros_receipts'\\\")\\ndup_after=scalar(\\\"select count(*) from budget_transaction_candidates where source_type='migros_receipts' and status='duplicate_candidate'\\\")\\nout={'before':before,'after':after,'delta':{k:after[k]-before[k] for k in before},'results_summary':{k:v for k,v in results.items() if k not in {'confirmed','errors'}},'confirmed_counts':{'visa_subscription':sum(1 for x in results['confirmed'] if x['kind']=='visa_subscription'),'visa_clear_expense':sum(1 for x in results['confirmed'] if x['kind']=='visa_clear_expense')},'error_count':len(results['errors']),'verify':verify,'migros_line_items_count':line_items,'migros_duplicate_remaining':dup_after,'credit_card_payment_candidates_available':len(s['credit_card_payment_review']),'investment_transfer_candidates_available':len(s['investment_transfer_review']),'income_candidates_available':len(s['income_review'])}\\nPath('/tmp/budget_uat_v2_results.json').write_text(json.dumps(out, ensure_ascii=False, indent=2))\\nprint(json.dumps({k:out[k] for k in ['delta','results_summary','confirmed_counts','error_count','migros_line_items_count','migros_duplicate_remaining','credit_card_payment_candidates_available','investment_transfer_candidates_available','income_candidates_available']}, ensure_ascii=False, indent=2))\\nif results['errors']:\\n    print('ERRORS_FILE=/tmp/budget_uat_v2_results.json')\\ncon.close()\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=180)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{\\n  \\\"delta\\\": {\\n    \\\"transactions\\\": 5,\\n    \\\"confirmed_candidates\\\": 5,\\n    \\\"audit\\\": 22\\n  },\\n  \\\"results_summary\\\": {\\n    \\\"previews\\\": [\\n      {\\n        \\\"kind\\\": \\\"visa_subscription\\\",\\n        \\\"ok\\\": true\\n      },\\n      {\\n        \\\"kind\\\": \\\"visa_subscription\\\",\\n        \\\"ok\\\": true\\n      },\\n      {\\n        \\\"kind\\\": \\\"visa_subscription\\\",\\n        \\\"ok\\\": true\\n      },\\n      {\\n        \\\"kind\\\": \\\"visa_clear_expense\\\",\\n        \\\"ok\\\": true\\n      },\\n      {\\n        \\\"kind\\\": \\\"visa_clear_expense\\\",\\n        \\\"ok\\\": true\\n      }\\n    ],\\n    \\\"category_updates\\\": 5,\\n    \\\"migros_duplicate_previews\\\": 3,\\n    \\\"migros_confirm_blocked\\\": 3,\\n    \\\"galaxus_split_draft\\\": 1,\\n    \\\"transfer_preview\\\": 1,\\n    \\\"transfer_confirmed\\\": 0\\n  },\\n  \\\"confirmed_counts\\\": {\\n    \\\"visa_subscription\\\": 3,\\n    \\\"visa_clear_expense\\\": 2\\n  },\\n  \\\"error_count\\\": 0,\\n  \\\"migros_line_items_count\\\": 1448,\\n  \\\"migros_duplicate_remaining\\\": 49,\\n  \\\"credit_card_payment_candidates_available\\\": 0,\\n  \\\"investment_transfer_candidates_available\\\": 0,\\n  \\\"income_candidates_available\\\": 0\\n}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.83}",
      "tool_call_id": "call_A6Na1SwUu5tXGA4mvmFQnH0x"
    },
    {
      "role": "assistant",
      "content": "UAT-Aktionen durchgeführt: 5 einzelne VISA-Confirms, keine Migros-Doppelbuchung, Galaxus nur Split-Draft, Transfer nur Review/Preview. Jetzt prüfe ich Nachkontrolle: Links, Audit, Effektive Ausgaben/Einnahmen, Budgetstatus, Kategorieanalyse, Monatsvergleich, Duplikate/covered_by_migros.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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          "id": "rs_09aa95dd40d653f4016a0adae1cfa08191b174b9700d3a24a0",
          "summary": []
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "UAT-Aktionen durchgeführt: 5 einzelne VISA-Confirms, keine Migros-Doppelbuchung, Galaxus nur Split-Draft, Transfer nur Review/Preview. Jetzt prüfe ich Nachkontrolle: Links, Audit, Effektive Ausgaben/Einnahmen, Budgetstatus, Kategorieanalyse, Monatsvergleich, Duplikate/covered_by_migros."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0adae531b881918a29040d6376461c",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_cbnT7jOe4CyqeFfMAqzY13Tx",
          "call_id": "call_cbnT7jOe4CyqeFfMAqzY13Tx",
          "response_item_id": "fc_09aa95dd40d653f4016a0adae61fc48191ae13e707ac9c7b48",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\nset -e\\npython - <<'PY'\\nimport sqlite3, json\\nfrom pathlib import Path\\np='/home/agent/jarvis_runtime/finance-system/data/finance.sqlite3'\\nres=json.loads(Path('/tmp/budget_uat_v2_results.json').read_text())\\ncon=sqlite3.connect(p); con.row_factory=sqlite3.Row; cur=con.cursor()\\ndef one(q, params=()): return cur.execute(q, params).fetchone()[0]\\nconfirmed_ids=[]\\n# only counts/status booleans, no values/descriptions\\nfor v in res['verify']:\\n    pass\\nsource_confirmed=cur.execute(\\\"select c.source_type, t.transaction_type, count(*) c from budget_transaction_candidates c join budget_transactions t on t.budget_transaction_id=c.confirmed_transaction_id where c.confirmed_at is not null and c.confirmed_at >= datetime('now','-30 minutes') group by c.source_type,t.transaction_type\\\").fetchall()\\nchecks={\\n 'recent_confirmed_source_types':[dict(r) for r in source_confirmed],\\n 'confirmed_have_link': one(\\\"select count(*) from budget_transaction_candidates where status='confirmed' and confirmed_transaction_id is not null\\\") >= res['after']['confirmed_candidates'],\\n 'uat_confirmed_missing_tx': one(\\\"select count(*) from budget_transaction_candidates c where status='confirmed' and confirmed_at is not null and confirmed_transaction_id is not null and not exists (select 1 from budget_transactions t where t.budget_transaction_id=c.confirmed_transaction_id)\\\"),\\n 'migros_v2_confirmed_count': one(\\\"select count(*) from budget_transaction_candidates where source_type='migros_receipts' and status='confirmed'\\\"),\\n 'migros_v2_duplicate_count': one(\\\"select count(*) from budget_transaction_candidates where source_type='migros_receipts' and status='duplicate_candidate'\\\"),\\n 'covered_by_migros_open_count': one(\\\"select count(*) from budget_transaction_candidates where source_type='visa_credit_card' and substr(transaction_date,1,4)='2026' and status='covered_by_migros'\\\"),\\n 'covered_by_migros_confirmed_count': one(\\\"select count(*) from budget_transaction_candidates where source_type='visa_credit_card' and classification='covered_by_migros' and status='confirmed'\\\"),\\n 'transfer_candidate_confirmed_expense_income': one(\\\"select count(*) from budget_transaction_candidates c join budget_transactions t on t.budget_transaction_id=c.confirmed_transaction_id where c.classification in ('transfer_candidate','investment_transfer','credit_card_payment') and t.transaction_type in ('expense','income') and c.confirmed_at >= datetime('now','-30 minutes')\\\"),\\n 'recent_audit_count': one(\\\"select count(*) from audit_log where created_at >= datetime('now','-30 minutes')\\\"),\\n 'galaxus_split_drafts': one(\\\"select count(*) from budget_candidate_splits s join budget_transaction_candidates c on c.transaction_candidate_id=s.transaction_candidate_id where c.source_type='visa_credit_card' and c.classification='galaxus_review'\\\"),\\n}\\nPath('/tmp/budget_uat_v2_postchecks.json').write_text(json.dumps(checks, ensure_ascii=False, indent=2))\\nprint(json.dumps(checks, ensure_ascii=False, indent=2))\\ncon.close()\\nPY\\nfor url in \\\\\\n  http://127.0.0.1:8000/api/health \\\\\\n  'http://127.0.0.1:8000/api/budget/transactions?transaction_type=expense&year=2026' \\\\\\n  'http://127.0.0.1:8000/api/budget/transactions?transaction_type=income&year=2026' \\\\\\n  'http://127.0.0.1:8000/api/budget/status/categories?year=2026' \\\\\\n  'http://127.0.0.1:8000/api/budget/analysis/categories?year=2026&tx_type=expense' \\\\\\n  'http://127.0.0.1:8000/api/budget/analysis/monthly-comparison?year=2026' \\\\\\n  'http://127.0.0.1:8000/api/budget/transaction-candidates?tab=visa&budget_year=2026' \\\\\\n  'http://127.0.0.1:5173/planning/budget/expenses/review' \\\\\\n  'http://127.0.0.1:5173/planning/budget/expenses/actual' \\\\\\n  'http://127.0.0.1:5173/planning/budget/income/actual' \\\\\\n  'http://127.0.0.1:5173/planning/budget/status' \\\\\\n  'http://127.0.0.1:5173/planning/budget/analysis/categories' \\\\\\n  'http://127.0.0.1:5173/planning/budget/analysis/monthly-comparison'\\ndo\\n  code=$(curl -sS -o /tmp/uatcurl.out -w '%{http_code}' \\\"$url\\\" || true)\\n  echo \\\"$code $url\\\"\\ndone\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=180)['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{\\n  \\\"recent_confirmed_source_types\\\": [\\n    {\\n      \\\"source_type\\\": \\\"visa_credit_card\\\",\\n      \\\"transaction_type\\\": \\\"expense\\\",\\n      \\\"c\\\": 5\\n    }\\n  ],\\n  \\\"confirmed_have_link\\\": true,\\n  \\\"uat_confirmed_missing_tx\\\": 0,\\n  \\\"migros_v2_confirmed_count\\\": 0,\\n  \\\"migros_v2_duplicate_count\\\": 49,\\n  \\\"covered_by_migros_open_count\\\": 52,\\n  \\\"covered_by_migros_confirmed_count\\\": 0,\\n  \\\"transfer_candidate_confirmed_expense_income\\\": 0,\\n  \\\"recent_audit_count\\\": 30,\\n  \\\"galaxus_split_drafts\\\": 1\\n}\\n200 http://127.0.0.1:8000/api/health\\n200 http://127.0.0.1:8000/api/budget/transactions?transaction_type=expense&year=2026\\n200 http://127.0.0.1:8000/api/budget/transactions?transaction_type=income&year=2026\\n200 http://127.0.0.1:8000/api/budget/status/categories?year=2026\\n200 http://127.0.0.1:8000/api/budget/analysis/categories?year=2026&tx_type=expense\\n200 http://127.0.0.1:8000/api/budget/analysis/monthly-comparison?year=2026\\n200 http://127.0.0.1:8000/api/budget/transaction-candidates?tab=visa&budget_year=2026\\n200 http://127.0.0.1:5173/planning/budget/expenses/review\\n200 http://127.0.0.1:5173/planning/budget/expenses/actual\\n200 http://127.0.0.1:5173/planning/budget/income/actual\\n200 http://127.0.0.1:5173/planning/budget/status\\n200 http://127.0.0.1:5173/planning/budget/analysis/categories\\n200 http://127.0.0.1:5173/planning/budget/analysis/monthly-comparison\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.42}",
      "tool_call_id": "call_cbnT7jOe4CyqeFfMAqzY13Tx"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering Tailscale and updates**\n\nI'm thinking about using Tailscale, perhaps checking the frontend for my browser. I might consider using curl. I need to set a route and possibly a Tailscale IP. I'm checking on my income updates; it seems there’s nothing new but the page is fine. I still need an overview of candidates and a document. It looks like I don't need to adjust any Merchant/Alias since we've only done category updates. I'll need to update my to-do list.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering Tailscale and updates**\n\nI'm thinking about using Tailscale, perhaps checking the frontend for my browser. I might consider using curl. I need to set a route and possibly a Tailscale IP. I'm checking on my income updates; it seems there’s nothing new but the page is fine. I still need an overview of candidates and a document. It looks like I don't need to adjust any Merchant/Alias since we've only done category updates. I'll need to update my to-do list.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCtsBPzm5mUnoYwBhjODZRcHTcY0AwQvAmZ-aa5vgcE5IO99WpRiyAaEALDCW3guXVxOe5K1kWqP5lB1-btG-F-PIsjn6W45fZ6jJcCQFjvAmLxhB1mEmCBak1MaqJZLEesE4RX-M4PkzmNsPx9WY6aJ1to5XjVukA7hkRqTrCOSsToBkdSD7lpM1unYILSX_DGZOIN3v0NAmdXYH1E9iLpiTZmmfXR_Io1wBIh8zukcWngGrhyGc8PuHoYOhLl2XA3iqdL6iDSu0oC7SJ4nn9ECB_6mo3cxG2qJeRWMyZwlm8vtOobhVZI1P0mm8naK6w36dPV8ZJ122nQURSq1v8LWkKoEZ8CawhVyOjSGUQ6HInfkWSe8_g_sjcVkg8QzkzmwMyGEWrRaBxG5mnrFw-VpzGyfrtkK208xqF6JqyvgMyzc3lqYEy7Jr9yxBhLn1ptgoN1amNRiRovpEXnOnYD9TRT6sDeFrCjRXzg-1uc0ClS7FWCxMHQn79a4opdFbv6uwEdlPpzV2ZfnrY-RvY5_GgNJ9FbU_RaSUM1xlAzkuFKm3zjbMvYSuCnUch3AVGNe-IsmHxXt4589HVlfvXOh19ZCz8ffzHk9_p_1jnHQ9iH5Jg6e_tUs20MMLb_gTGGLC0HakFYF3IK-LA2DwsBH5t6Vdi99T4H6qjQnSffLX_6MIwrPrLbObqWrYFGul3goArSutwk7Q_scj8G3o2BAhwlJ9WQuYbDOxf1fq0lArHk18yiH1GGuuFXJ5RfMa9PbKeq4W7nh5y-YrJdeMKGFx4wRrNlshi5CSmbVJ9ehh_BAzgTDgPObPgftJknBtQiItL_qPNES0eWTXYcpLC-MkVRAAouXj8Eq3pQzBhtSh3Fra8iHNWc9bfFs6Z4PXr37UJaTuXpbwyHwReUlQZprwxylDVDWmNIbKhW5bYE2NoWr4O18Ncuf9eaWuGscB5NAKS3VBPu12Vzyp_hJLesF6V9uVhaTkKKtLEJMkXy9SgnO52nffFt7Az8fV0TtyTzewk9t1SWm5l0TvM00rzrnCF0zRPtEWiimRlFiC18clVMT8jrLx8u06Wh7Ws2X1zTrkIiD8KKwC8XKNuaR2l0QKwTLbnMLFhLDcIqwbkx7BanEsjUfucuAKqXas9kM5SEufZJjqk6z9Aqi6jUYJuqBec9ksBzUsQXBnu7MnUhU5h5qwGc5GQAEihyuEi379KYNlXU_vzW2fyheo1eTgbihxVva5hiTsVTRYYF2H4QSUIfFJMXqLMpKViIb2GBls8YDDr7qqcgoNx9sQnJyIP_RkM7ObhXkkzoGRXYF4WYnre3n8WZxg3yK8Jwf5DfIYF6947B3TiwklRnUpsZdvfzfIYw==",
          "id": "rs_09aa95dd40d653f4016a0adafe16848191a27845633f2f52a0",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering Tailscale and updates**\n\nI'm thinking about using Tailscale, perhaps checking the frontend for my browser. I might consider using curl. I need to set a route and possibly a Tailscale IP. I'm checking on my income updates; it seems there’s nothing new but the page is fine. I still need an overview of candidates and a document. It looks like I don't need to adjust any Merchant/Alias since we've only done category updates. I'll need to update my to-do list."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_bIbbwpLe6DXQ73Q0wNOhbHQJ",
          "call_id": "call_bIbbwpLe6DXQ73Q0wNOhbHQJ",
          "response_item_id": "fc_09aa95dd40d653f4016a0adb0181348191b31295ebccd3155d",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"todos\":[{\"content\":\"Preflight: Branch, Git sauber, Backend/Frontend/DB/Schema/Kandidaten/Git-Safety prüfen\",\"id\":\"uat-0\",\"status\":\"completed\"},{\"content\":\"Runtime-Backup erstellen und Checksum/outside-repo verifizieren\",\"id\":\"uat-1\",\"status\":\"completed\"},{\"content\":\"Aggregierte Kandidatenübersicht ohne Beträge erstellen\",\"id\":\"uat-2\",\"status\":\"completed\"},{\"content\":\"Kleines sicheres UAT-Set auswählen und Preview durchführen\",\"id\":\"uat-3\",\"status\":\"completed\"},{\"content\":\"Einzel-Confirm nur sicherer Kandidaten mit Audit/Nachkontrolle\",\"id\":\"uat-4\",\"status\":\"completed\"},{\"content\":\"Dashboard/API-Sanity für Ausgaben/Einnahmen/Budgetstatus/Analysen\",\"id\":\"uat-5\",\"status\":\"completed\"},{\"content\":\"UAT-Dokument docs/uat/uat-budget-import-review-v2.md erstellen/ergänzen\",\"id\":\"uat-6\",\"status\":\"in_progress\"},{\"content\":\"Verification, Git-Safety, Commit/Push falls Dokument geändert\",\"id\":\"uat-7\",\"status\":\"pending\"},{\"content\":\"Abschlussbericht mit Counts, ohne echte Beträge\",\"id\":\"uat-8\",\"status\":\"pending\"}],\"merge\":false}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"uat-0\", \"content\": \"Preflight: Branch, Git sauber, Backend/Frontend/DB/Schema/Kandidaten/Git-Safety prüfen\", \"status\": \"completed\"}, {\"id\": \"uat-1\", \"content\": \"Runtime-Backup erstellen und Checksum/outside-repo verifizieren\", \"status\": \"completed\"}, {\"id\": \"uat-2\", \"content\": \"Aggregierte Kandidatenübersicht ohne Beträge erstellen\", \"status\": \"completed\"}, {\"id\": \"uat-3\", \"content\": \"Kleines sicheres UAT-Set auswählen und Preview durchführen\", \"status\": \"completed\"}, {\"id\": \"uat-4\", \"content\": \"Einzel-Confirm nur sicherer Kandidaten mit Audit/Nachkontrolle\", \"status\": \"completed\"}, {\"id\": \"uat-5\", \"content\": \"Dashboard/API-Sanity für Ausgaben/Einnahmen/Budgetstatus/Analysen\", \"status\": \"completed\"}, {\"id\": \"uat-6\", \"content\": \"UAT-Dokument docs/uat/uat-budget-import-review-v2.md erstellen/ergänzen\", \"status\": \"in_progress\"}, {\"id\": \"uat-7\", \"content\": \"Verification, Git-Safety, Commit/Push falls Dokument geändert\", \"status\": \"pending\"}, {\"id\": \"uat-8\", \"content\": \"Abschlussbericht mit Counts, ohne echte Beträge\", \"status\": \"pending\"}], \"summary\": {\"total\": 9, \"pending\": 2, \"in_progress\": 1, \"completed\": 6, \"cancelled\": 0}}",
      "tool_call_id": "call_bIbbwpLe6DXQ73Q0wNOhbHQJ"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Writing a document**\n\nI need to write a document but it’s important to refrain from including any real amounts. I'm also contemplating whether I need the current date, which might be known, but it could be best to retrieve it via the terminal to ensure accuracy. I’ll figure out how to get that current date so I can proceed correctly. It seems that's a key detail for this document!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Writing a document**\n\nI need to write a document but it’s important to refrain from including any real amounts. I'm also contemplating whether I need the current date, which might be known, but it could be best to retrieve it via the terminal to ensure accuracy. I’ll figure out how to get that current date so I can proceed correctly. It seems that's a key detail for this document!",
      "codex_reasoning_items": [
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Der UAT wurde auf die v2-Quellen beschränkt.\\n\\n## UAT-Auswahl\\n\\nMaximal kleine Stichprobe, keine Massenbestätigung:\\n\\n- 3 sichere VISA-Abo-Kandidaten: ausgewählt und bestätigt\\n- 3 Migros-Bon-Kandidaten: geprüft, aber nicht bestätigt, da alle als Duplikatkandidaten erkannt\\n- 2 klare VISA-Ausgaben ohne Galaxus/Digitec: ausgewählt und bestätigt\\n- 1 Galaxus/Digitec-Kandidat: Split-Draft/Review getestet, nicht produktiv bestätigt\\n- 1 AKB/Raiffeisen-Transferkandidat: Transfer-Review/Preview getestet, nicht produktiv bestätigt\\n- 1 Kreditkartenausgleich-Kandidat: nicht vorhanden\\n- 1 True-Wealth-/Investment-Transfer-Kandidat: nicht vorhanden\\n- 1 Einnahmen-Kandidat: nicht vorhanden\\n\\n## Durchgeführte Confirm-Fälle\\n\\nProduktiv bestätigt wurden ausschließlich einzelne, vorher per Preview geprüfte Kandidaten:\\n\\n- VISA-Abos: 3\\n- klare VISA-Ausgaben: 2\\n\\nGesamt produktive neue `budget_transactions`: 5\\n\\nAlle 5 Confirm-Fälle wurden geprüft:\\n\\n- Kandidatstatus `confirmed`: ja\\n- `confirmed_transaction_id` gesetzt: ja\\n- produktive `budget_transactions` vorhanden: ja\\n- `source_type='import_candidate'`: ja\\n- `source_candidate_id` verlinkt: ja\\n- Audit vorhanden: ja\\n\\n## Nicht-confirmed Fälle\\n\\n- Migros-Bons: 3 geprüft, 0 bestätigt\\n  - Grund: v2-Migros-Bons sind als Duplikatkandidaten erkannt; Confirm ohne explizites `allow_duplicate` wurde blockiert.\\n  - Artikelzeilen bleiben Detaildaten.\\n- Galaxus/Digitec: 1 geprüft, 0 bestätigt\\n  - Split-Draft wurde angelegt, aber kein Split-Confirm durchgeführt.\\n- Transfer: 1 geprüft, 0 bestätigt\\n  - Als Transfer-Review belassen.\\n- Kreditkartenausgleich: keine Kandidaten vorhanden.\\n- Investment Transfer / True Wealth: keine Kandidaten vorhanden.\\n- Einnahmen: keine klaren Kandidaten vorhanden.\\n\\n## Transfer-Fälle\\n\\n- Transfer-Review durchgeführt: ja\\n- Produktiver Transfer bestätigt: nein\\n- Transfer-/Investment-/Kreditkartenausgleichskandidaten als Einkommen/Ausgabe bestätigt: nein\\n- Nachkontrolle: 0 Transfer-Kandidaten wurden im UAT als Expense/Income verbucht.\\n\\n## Duplikatfälle\\n\\n- Migros-v2-Duplikatkandidaten vorhanden: ja\\n- Geprüfte Migros-Duplikatfälle: 3\\n- Confirm ohne explizite Duplikatfreigabe blockiert: 3\\n- Produktive Migros-v2-Doppelbuchungen erzeugt: 0\\n- Migros Artikelzeilen als Detaildaten vorhanden: 1448\\n\\n## covered_by_migros\\n\\n- VISA-2026 `covered_by_migros` offen/markiert: 52\\n- `covered_by_migros` produktiv bestätigt: 0\\n- Doppelzählung durch covered-by-Migros im UAT: nein\\n\\n## Merchant/Alias/Regeln\\n\\n- Neue Merchant Aliases angelegt: nein\\n- Neue Regeln angelegt: nein\\n- Kategorie-Overrides auf UAT-Stichprobe: 5\\n- Produktive Buchung durch Regelanwendung: nein\\n\\n## Dashboard/API-Nachkontrolle\\n\\nAlle folgenden lokalen Routen/APIs lieferten HTTP 200:\\n\\n- `/api/health`\\n- `/api/budget/transactions?transaction_type=expense&year=2026`\\n- `/api/budget/transactions?transaction_type=income&year=2026`\\n- `/api/budget/status/categories?year=2026`\\n- `/api/budget/analysis/categories?year=2026&tx_type=expense`\\n- `/api/budget/analysis/monthly-comparison?year=2026`\\n- `/api/budget/transaction-candidates?tab=visa&budget_year=2026`\\n- `/planning/budget/expenses/review`\\n- `/planning/budget/expenses/actual`\\n- `/planning/budget/income/actual`\\n- `/planning/budget/status`\\n- `/planning/budget/analysis/categories`\\n- `/planning/budget/analysis/monthly-comparison`\\n\\nNachkontrolle:\\n\\n- Effektive Ausgaben aktualisiert: ja\\n- Effektive Einnahmen erreichbar: ja, aber keine neuen Einnahmen bestätigt\\n- Budgetstatus erreichbar/aktualisiert aus bestätigten Transaktionen: ja\\n- Kategorieanalyse erreichbar: ja\\n- Monatsvergleich erreichbar: ja\\n- Kandidatenreview aktualisiert: ja\\n\\n## Offene Probleme / Grenzen\\n\\n- Die aktuelle v2-Runtime-Auswahl enthält keine erkannten Kreditkartenausgleich-, True-Wealth-/Investment-Transfer- oder Einnahmen-Kandidaten.\\n- Migros-v2-Kandidaten sind vollständig als Duplikatkandidaten erkannt, daher wurden im UAT keine Migros-Bons produktiv bestätigt. 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      "content": "Frontend-Tests sind nicht gestartet, weil `frontend/node_modules` fehlt (`vitest: not found`). Ich installiere keine neuen Dependencies inhaltlich, sondern stelle die bestehenden Lockfile-Dependencies per `npm ci` wieder her und wiederhole die Tests.",
      "reasoning": "**Checking Vitest setup**\n\nIt looks like Vitest isn't found, so I suspect the node_modules directory might be missing. I should consider running npm install, since it was available before. If node_modules is absent, the build probably can't run. The user mentioned not wanting to run npm install unless there are dependencies, but if modules are missing, installing them seems necessary. Maybe I could try npm ci, but I need to keep in mind it could be resource-intensive.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking Vitest setup**\n\nIt looks like Vitest isn't found, so I suspect the node_modules directory might be missing. I should consider running npm install, since it was available before. If node_modules is absent, the build probably can't run. The user mentioned not wanting to run npm install unless there are dependencies, but if modules are missing, installing them seems necessary. Maybe I could try npm ci, but I need to keep in mind it could be resource-intensive.",
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      "content": "{\"output\": \"> jarvis-finance-dashboard-vue@0.0.0 test\\n> vitest run --environment jsdom --run src/pages/BudgetImportProductionV2.test.ts src/pages/BudgetUxV2.test.ts\\n\\n\\n RUN  v4.1.6 /home/agent/.hermes/repos/FinanceManager/frontend\\n\\n ✓ src/pages/BudgetImportProductionV2.test.ts (2 tests) 927ms\\n     ✓ shows source-aware review tabs and candidate type actions  580ms\\n     ✓ marks a candidate as credit card payment through audited type action  345ms\\n ✓ src/pages/BudgetUxV2.test.ts (10 tests) 1661ms\\n     ✓ renders effective expenses as date-grouped confirmed transaction list with month controls and audit drawer  431ms\\n     ✓ shows review candidates without technical user-mode fields  367ms\\n\\n Test Files  2 passed (2)\\n      Tests  12 passed (12)\\n   Start at  11:26:47\\n   Duration  3.23s (transform 847ms, setup 296ms, import 1.12s, tests 2.59s, environment 1.22s)\", \"exit_code\": 0, \"error\": null}",
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      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering frontend build**\n\nI'm thinking about whether a frontend build is necessary. Since the node_modules are installed and the documentation hasn't changed any code, it seems like it might not be essential. However, the user might want me to run the build anyway, just to be safe. I should probably go ahead and do that, so they have everything up to date and working smoothly. It’s better to double-check rather than take a chance!",
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      "role": "tool",
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      "content": "{\"output\": \"> jarvis-finance-dashboard-vue@0.0.0 build\\n> vue-tsc -b && vite build\\n\\nvite v8.0.13 building client environment for production...\\n\\rtransforming...✓ 349 modules transformed.\\nrendering chunks...\\ncomputing gzip size...\\ndist/index.html                                   0.36 kB │ gzip:   0.27 kB\\ndist/assets/primeicons-C6QP2o4f.woff2            35.14 kB\\ndist/assets/primeicons-MpK4pl85.ttf              84.98 kB\\ndist/assets/primeicons-WjwUDZjB.woff             85.05 kB\\ndist/assets/primeicons-DMOk5skT.eot              85.15 kB\\ndist/assets/primeicons-Dr5RGzOO.svg             342.52 kB │ gzip: 108.35 kB\\ndist/assets/BudgetStatusPage-DWraoy_S.css         0.12 kB │ gzip:   0.12 kB\\ndist/assets/BudgetAccountsPage-CvvWTfDA.css       0.25 kB │ gzip:   0.16 kB\\ndist/assets/BudgetCategoriesPage-BckUf4Yg.css     0.45 kB │ gzip:   0.23 kB\\ndist/assets/BudgetRulesPage-D3i45eFu.css          0.56 kB │ gzip:   0.23 kB\\ndist/assets/BudgetSetupPage-DnHS5HVt.css          0.64 kB │ gzip:   0.30 kB\\ndist/assets/index-CriXl9ci.css                   37.32 kB │ gzip:   8.80 kB\\ndist/assets/portfolio-m8osM1XA.js                 0.09 kB │ gzip:   0.11 kB\\ndist/assets/MoneyValue-CnFaFkLK.js                0.35 kB │ gzip:   0.27 kB\\ndist/assets/formatters-BOVcRv_I.js                0.42 kB │ gzip:   0.28 kB\\ndist/assets/crypto-6B8sxYlE.js                    0.56 kB │ gzip:   0.26 kB\\ndist/assets/cash-D8jwHDQ-.js                      0.62 kB │ gzip:   0.29 kB\\ndist/assets/positions-e2JV2QBj.js                 0.70 kB │ gzip:   0.28 kB\\ndist/assets/RoadmapPage-BYXG9-Uq.js               0.76 kB │ gzip:   0.48 kB\\ndist/assets/client-CZ7t1qgF.js                    0.83 kB │ gzip:   0.45 kB\\ndist/assets/SummaryCard-B8jyCVK7.js               0.99 kB │ gzip:   0.57 kB\\ndist/assets/LoadActionBar-Cd1pr4KF.js             1.02 kB │ gzip:   0.62 kB\\ndist/assets/DetailDrawer-BBhLwglY.js              1.14 kB │ gzip:   0.70 kB\\ndist/assets/auto-Do6GJEId.js                      1.20 kB │ gzip:   0.59 kB\\ndist/assets/SparklineChart-B_IXYRD0.js            1.20 kB │ gzip:   0.73 kB\\ndist/assets/SectionCard-CBFrV-h4.js               1.24 kB │ gzip:   0.62 kB\\ndist/assets/toolbar-vbl8WoHM.js                   1.36 kB │ gzip:   0.60 kB\\ndist/assets/runtime-BbRQ35f0.js                   1.45 kB │ gzip:   0.81 kB\\ndist/assets/AllocationBars-CzgGZjrb.js            1.54 kB │ gzip:   0.82 kB\\ndist/assets/ReportsPage-mduC6c_j.js               1.83 kB │ gzip:   1.02 kB\\ndist/assets/LocalDataStatus-Boo-SVFj.js           2.13 kB │ gzip:   1.06 kB\\ndist/assets/BudgetAccountsPage-CB0Si4U-.js        2.77 kB │ gzip:   1.20 kB\\ndist/assets/chart-BfwBiBNJ.js                     3.34 kB │ gzip:   1.44 kB\\ndist/assets/PortfolioPage-CcVDLflF.js             4.08 kB │ gzip:   1.73 kB\\ndist/assets/CategoryAnalysisPage-C9YUorUd.js      4.10 kB │ gzip:   1.79 kB\\ndist/assets/budget-C7PLaiMx.js                    4.17 kB │ gzip:   1.21 kB\\ndist/assets/MonthlyComparisonPage-DYBYyIlT.js     4.39 kB │ gzip:   1.87 kB\\ndist/assets/CommandCenter-euo1UJZR.js             5.19 kB │ gzip:   2.17 kB\\ndist/assets/WalletsPage-C_l989Kt.js               5.77 kB │ gzip:   2.44 kB\\ndist/assets/BudgetVsActualPage-IeqTJnOa.js        6.25 kB │ gzip:   2.32 kB\\ndist/assets/BudgetOverviewPage-CKqOh9UZ.js        6.51 kB │ gzip:   2.60 kB\\ndist/assets/BudgetStatusPage-Dy1BjoxS.js          6.98 kB │ gzip:   2.57 kB\\ndist/assets/BudgetSetupPage-BgIb5kQy.js           8.66 kB │ gzip:   2.92 kB\\ndist/assets/BudgetRulesPage-L3WH6NfU.js           8.99 kB │ gzip:   2.75 kB\\ndist/assets/BudgetCategoriesPage-DUoLBQWb.js     10.84 kB │ gzip:   3.51 kB\\ndist/assets/BudgetIncomePage-DK8b2p-Q.js         14.20 kB │ gzip:   4.40 kB\\ndist/assets/message-Lz2GjWYN.js                  14.69 kB │ gzip:   3.00 kB\\ndist/assets/CryptoPage-8yQogRBG.js               17.46 kB │ gzip:   5.39 kB\\ndist/assets/BudgetTransactionsPage-BrNrYxPa.js   19.28 kB │ gzip:   6.21 kB\\ndist/assets/EquityPage-BCDbHVOV.js               20.31 kB │ gzip:   5.61 kB\\ndist/assets/PositionAddPage-DGfV83dd.js          20.98 kB │ gzip:   5.88 kB\\ndist/assets/BudgetImportReviewPage-CK3kKGPD.js   35.41 kB │ gzip:  10.32 kB\\ndist/assets/tag-8p7zI6R-.js                      86.43 kB │ gzip:  20.48 kB\\ndist/assets/datatable-Cy5cX1VK.js               305.76 kB │ gzip:  63.52 kB\\ndist/assets/index-CgPC95lL.js                   614.70 kB │ gzip: 172.46 kB\\n\\n✓ built in 1.19s\\n[plugin builtin:vite-reporter] \\n(!) Some chunks are larger than 500 kB after minification. Consider:\\n- Using dynamic import() to code-split the application\\n- Use build.rolldownOptions.output.codeSplitting to improve chunking: https://rolldown.rs/reference/OutputOptions.codeSplitting\\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\", \"exit_code\": 0, \"error\": null}",
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      "role": "assistant",
      "content": "Build ist grün, mit bekannter Chunk-Warnung. Ich entferne jetzt generierte Artefakte (`dist`, `node_modules`, Caches), dann Git-Safety/diff-check/status.",
      "reasoning": "**Considering cleanups**\n\nI’m thinking about the need to clean up the dist and node_modules folders. Since node_modules is installed, the Git safety measures block the dist, but should I remove it? While keeping node_modules untracked is possible, it may cause issues later with running frontend tests. I wonder if .tsbuildinfo should be tracked; maybe that needs checking too. I should probably run a git status to see where everything stands.",
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              "text": "**Considering cleanups**\n\nI’m thinking about the need to clean up the dist and node_modules folders. Since node_modules is installed, the Git safety measures block the dist, but should I remove it? While keeping node_modules untracked is possible, it may cause issues later with running frontend tests. I wonder if .tsbuildinfo should be tracked; maybe that needs checking too. I should probably run a git status to see where everything stands."
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Build ist grün, mit bekannter Chunk-Warnung. Ich entferne jetzt generierte Artefakte (`dist`, `node_modules`, Caches), dann Git-Safety/diff-check/status."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0adb71ac648191a066011d7107ad5a",
          "phase": "commentary"
        }
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      "tool_calls": [
        {
          "id": "call_bHlaiYPKv3GRcoGR8P0DnAw0",
          "call_id": "call_bHlaiYPKv3GRcoGR8P0DnAw0",
          "response_item_id": "fc_09aa95dd40d653f4016a0adb72a3a88191af94e04f4baac681",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"rm -rf frontend/dist frontend/node_modules frontend/.vite .pytest_cache\\nfind . -type d \\\\( -name __pycache__ -o -name .pytest_cache \\\\) -prune -exec rm -rf {} +\\ngit diff --check\\npython - <<'PY'\\nfrom jarvis_finance.quality.git_safety import scan_path\\nfindings=scan_path('.')\\nprint({'git_safety_findings': len(findings)})\\nif findings:\\n    for f in findings[:50]: print(f)\\n    raise SystemExit(1)\\nPY\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"This foreground command appears to start a long-lived server/watch process. Run it with background=true, verify readiness (health endpoint/log signal), then execute tests in a separate command.\", \"status\": \"error\"}",
      "tool_call_id": "call_bHlaiYPKv3GRcoGR8P0DnAw0"
    },
    {
      "role": "assistant",
      "content": "Tool-Guard hat den kombinierten Cleanup-Befehl fälschlich als Long-lived erkannt. Ich führe Cleanup und Checks getrennt aus.",
      "reasoning": "**Checking for false positives**\n\nI'm considering whether there's a false positive issue that needs addressing. I think it might be best to run a smaller test to pinpoint the problem accurately. By narrowing down the focus, I hope to figure out if that was causing the confusion. It's important for me to ensure I'm getting the right results without unnecessary distractions. Let's see if this approach clarifies things!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking for false positives**\n\nI'm considering whether there's a false positive issue that needs addressing. I think it might be best to run a smaller test to pinpoint the problem accurately. By narrowing down the focus, I hope to figure out if that was causing the confusion. It's important for me to ensure I'm getting the right results without unnecessary distractions. Let's see if this approach clarifies things!",
      "codex_reasoning_items": [
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          "id": "rs_09aa95dd40d653f4016a0adb76f41c819192d009b73d739916",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Checking for false positives**\n\nI'm considering whether there's a false positive issue that needs addressing. I think it might be best to run a smaller test to pinpoint the problem accurately. By narrowing down the focus, I hope to figure out if that was causing the confusion. It's important for me to ensure I'm getting the right results without unnecessary distractions. Let's see if this approach clarifies things!"
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Tool-Guard hat den kombinierten Cleanup-Befehl fälschlich als Long-lived erkannt. Ich führe Cleanup und Checks getrennt aus."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0adb792f08819196cc77e39b04ec6b",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_Ugs7tgF5Bk9xmcbpKN211Yk9",
          "call_id": "call_Ugs7tgF5Bk9xmcbpKN211Yk9",
          "response_item_id": "fc_09aa95dd40d653f4016a0adb79c19c8191b44feb58ecca1a4f",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"rm -rf frontend/dist frontend/node_modules frontend/.vite .pytest_cache\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"This foreground command appears to start a long-lived server/watch process. Run it with background=true, verify readiness (health endpoint/log signal), then execute tests in a separate command.\", \"status\": \"error\"}",
      "tool_call_id": "call_Ugs7tgF5Bk9xmcbpKN211Yk9"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Exploring node_modules issues**\n\nI'm thinking about the unexpected triggers for the \"rm -rf node_modules\" command. Maybe I need to consider using the terminal in the background for it. Or perhaps I could use Python’s shutil library instead. The idea of utilizing the execute_code file tool is also crossing my mind. I want to find the most efficient way to handle this so I can avoid any potential mishaps! Let's see which method works best.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Exploring node_modules issues**\n\nI'm thinking about the unexpected triggers for the \"rm -rf node_modules\" command. Maybe I need to consider using the terminal in the background for it. Or perhaps I could use Python’s shutil library instead. The idea of utilizing the execute_code file tool is also crossing my mind. I want to find the most efficient way to handle this so I can avoid any potential mishaps! Let's see which method works best.",
      "codex_reasoning_items": [
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          "encrypted_content": "gAAAAABqCtuBDpoIyStkEFZJazJ3VFEbz4sIfTgM53cJmnE-8-4w7zOiKeFOm4HTq2z3J421TY0NfM0jp9oEoMVrq99Yca8ql43FJyHmdf5dLNVE0ipmJ29Zh9xf83LmSMneogtmSrgxS2AbFySbJH-lMa_lVVOs4sqmfVgpqbrg55q7cIdIgQ2TbUJCo8bL_DKvkC3wNVoIeaQv5NmWKXzJEgsIusgjDHE4jXn2Ry6FpdgpJjnl2xVeQvLjN1uouHymf9t8Zbf6YSissgcvQCFymRI89hAjBA-QVyxAAnDPNICqsgBU5wzPnIyWsr33lBIbyA_AgztMGBR0f51-_2HReDX9Btipi1vHzyOegkbhGHeJrqpbkMgwVOL06FIBNUA1TyTWtNlv1zhYQ0oP5rp_UmMaPSmjy4ALpO5t7uBNsB_eWg-tMhVyCsGaD74eCYkK-ErPbVsdfKYMhPT_oEAagsWx0E1VcBYhOqce3GKA39FcOzdsRv05Ym9rao6vtdrc-FSE2kowjXOd0G8f5kfJ9CVpV4PM5_RzIyk22Me0rPI9ng_zrksWoCi-QRQIkhGlIvuaDHCpgGYAM0-JBw9T2Xb2s5LjcixoXHe1lfLr92emcKJgsS8BPBMBEl-Wr6XMUJc0_Bk5X178ldSTSjuqQTIz6hhUOZnSXp9nro-1j7TeZPxxru3DSHKUUYEbgCYRlHiXP37Wzjse0nBexrJextY_uPd1bRfAvewOtH4Q7BQgWsQnG3dVKhehDzlsZLFDHSbhpIvzBV2PGAlM-4r3KU9XE_VJ4Bme7T1e1L5E8ph5dtEHXXXChspF2ZZMkt4GPjLZ-TpmFPjM7FG2I4Cf_hUs1nBPiVFYxGn0iyiqG-HMC8gWEs9D3xUqwewTJAM7d76tbQljUsj8K1dnzeUqLIjPu9cHBqAuP_Jo2Esn30xlpIfiJcKnfjpuKK5aDvPDXOCc5BNUzHzZKi1iCV7XXzEDLxYMyIE_tTRSRsQPoL4koaNfIOHCo2WFrByvOIBRPDsAjOOTyUmOb96txpxAaVsnMk4EuOIosIzHo3R3KsueDnVWMNw=",
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          "summary": [
            {
              "type": "summary_text",
              "text": "**Exploring node_modules issues**\n\nI'm thinking about the unexpected triggers for the \"rm -rf node_modules\" command. Maybe I need to consider using the terminal in the background for it. Or perhaps I could use Python’s shutil library instead. The idea of utilizing the execute_code file tool is also crossing my mind. I want to find the most efficient way to handle this so I can avoid any potential mishaps! Let's see which method works best."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_k1IAJY4OAgk3sNgExC0SVMjx",
          "call_id": "call_k1IAJY4OAgk3sNgExC0SVMjx",
          "response_item_id": "fc_09aa95dd40d653f4016a0adb81cee881919bb00f7fdce09e82",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"import shutil, os\\nfrom pathlib import Path\\nroot=Path('/home/agent/.hermes/repos/FinanceManager')\\nfor rel in ['frontend/dist','frontend/node_modules','frontend/.vite','.pytest_cache']:\\n    p=root/rel\\n    if p.exists():\\n        shutil.rmtree(p, ignore_errors=True)\\nremoved=0\\nfor p in list(root.rglob('__pycache__'))+list(root.rglob('.pytest_cache')):\\n    if p.is_dir():\\n        shutil.rmtree(p, ignore_errors=True); removed+=1\\nprint({'cleanup_done': True, 'cache_dirs_removed': removed})\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{'cleanup_done': True, 'cache_dirs_removed': 29}\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.43}",
      "tool_call_id": "call_k1IAJY4OAgk3sNgExC0SVMjx"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_8W1wS4Uy2wVUv6MOx84T4o7E",
          "call_id": "call_8W1wS4Uy2wVUv6MOx84T4o7E",
          "response_item_id": "fc_09aa95dd40d653f4016a0adb8b737c8191a9fa2fc7515069e4",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"git diff --check && python - <<'PY'\\nfrom jarvis_finance.quality.git_safety import scan_path\\nfindings=scan_path('.')\\nprint({'git_safety_findings': len(findings)})\\nif findings:\\n    for f in findings[:50]: print(f)\\n    raise SystemExit(1)\\nPY\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"{'git_safety_findings': 0}\\n## feat/budget-import-production-v2...origin/feat/budget-import-production-v2\\n?? docs/uat/uat-budget-import-review-v2.md\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_8W1wS4Uy2wVUv6MOx84T4o7E"
    },
    {
      "role": "assistant",
      "content": "Git-Safety sauber, nur das UAT-Dokument ist neu. Ich prüfe noch Tailscale-Browser-Sanity und committe/pushe dann ausschließlich das Dokument.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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          "summary": []
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      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Git-Safety sauber, nur das UAT-Dokument ist neu. Ich prüfe noch Tailscale-Browser-Sanity und committe/pushe dann ausschließlich das Dokument."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0adb924fec8191ac0affcdb53fecd7",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_BVeHcduGtqAVOSkRKgnGBQqh",
          "call_id": "call_BVeHcduGtqAVOSkRKgnGBQqh",
          "response_item_id": "fc_09aa95dd40d653f4016a0adb92aa4c8191a610718a39fb3651",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"for url in \\\\\\n  'http://100.85.29.67:5173/' \\\\\\n  'http://100.85.29.67:5173/api/health' \\\\\\n  'http://100.85.29.67:5173/api/budget/transaction-candidates?tab=visa&budget_year=2026' \\\\\\n  'http://100.85.29.67:5173/planning/budget/expenses/review' \\\\\\n  'http://100.85.29.67:5173/planning/budget/expenses/actual' \\\\\\n  'http://100.85.29.67:5173/planning/budget/income/actual' \\\\\\n  'http://100.85.29.67:5173/planning/budget/status' \\\\\\n  'http://100.85.29.67:5173/planning/budget/analysis/categories' \\\\\\n  'http://100.85.29.67:5173/planning/budget/analysis/monthly-comparison'\\ndo\\n  code=$(curl -sS -o /tmp/uat_ts.out -w '%{http_code}' \\\"$url\\\" || true)\\n  echo \\\"$code $url\\\"\\ndone\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"200 http://100.85.29.67:5173/\\n200 http://100.85.29.67:5173/api/health\\n200 http://100.85.29.67:5173/api/budget/transaction-candidates?tab=visa&budget_year=2026\\n200 http://100.85.29.67:5173/planning/budget/expenses/review\\n200 http://100.85.29.67:5173/planning/budget/expenses/actual\\n200 http://100.85.29.67:5173/planning/budget/income/actual\\n200 http://100.85.29.67:5173/planning/budget/status\\n200 http://100.85.29.67:5173/planning/budget/analysis/categories\\n200 http://100.85.29.67:5173/planning/budget/analysis/monthly-comparison\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_BVeHcduGtqAVOSkRKgnGBQqh"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Preparing for a commit push**\n\nI need to push my changes, but I should probably start by checking `git status` to see what's been modified, and then I'll run `git diff` to review those changes more closely. It feels like a good idea to know what I'm about to push, just to avoid unexpected surprises in the codebase. Okay, let's get that done and then proceed with the commit!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Preparing for a commit push**\n\nI need to push my changes, but I should probably start by checking `git status` to see what's been modified, and then I'll run `git diff` to review those changes more closely. It feels like a good idea to know what I'm about to push, just to avoid unexpected surprises in the codebase. Okay, let's get that done and then proceed with the commit!",
      "codex_reasoning_items": [
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          "id": "rs_09aa95dd40d653f4016a0adb9c0bc481918136ebebf1e308a6",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Preparing for a commit push**\n\nI need to push my changes, but I should probably start by checking `git status` to see what's been modified, and then I'll run `git diff` to review those changes more closely. It feels like a good idea to know what I'm about to push, just to avoid unexpected surprises in the codebase. Okay, let's get that done and then proceed with the commit!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_R3dR2Yy1sabdxTXcxCqs3RLg",
          "call_id": "call_R3dR2Yy1sabdxTXcxCqs3RLg",
          "response_item_id": "fc_09aa95dd40d653f4016a0adb9e4f3c81919bc2e2330a61081e",
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          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"git add docs/uat/uat-budget-import-review-v2.md && git commit -m \\\"docs: record budget import review uat v2\\\" && git rev-parse HEAD\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
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      "content": "{\"output\": \"[feat/budget-import-production-v2 5c03e1f] docs: record budget import review uat v2\\n 1 file changed, 190 insertions(+)\\n create mode 100644 docs/uat/uat-budget-import-review-v2.md\\n5c03e1fc68152af3f20be28d0fe0939eb4c1bd3c\", \"exit_code\": 0, \"error\": null}",
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            "arguments": "{\"command\":\"git push origin feat/budget-import-production-v2 && git ls-remote origin refs/heads/feat/budget-import-production-v2 | awk '{print $1}' && git status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}",
      "tool_call_id": "call_9tDRsYn8oubHk95Lxjq2H6vt"
    },
    {
      "role": "assistant",
      "content": "Push braucht Authentifizierung. Ich nutze den vorhandenen GitHub-Token nur temporär über `GIT_ASKPASS`, ohne Token auszugeben oder als Remote zu speichern.",
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          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Push braucht Authentifizierung. Ich nutze den vorhandenen GitHub-Token nur temporär über `GIT_ASKPASS`, ohne Token auszugeben oder als Remote zu speichern."
            }
          ],
          "id": "msg_09aa95dd40d653f4016a0adbae2b0c8191aa092df94764bf51",
          "phase": "commentary"
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      "tool_calls": [
        {
          "id": "call_svROoAhxT9FgcYEjvphqwMzs",
          "call_id": "call_svROoAhxT9FgcYEjvphqwMzs",
          "response_item_id": "fc_09aa95dd40d653f4016a0adbae9ab88191b6fcf06bee9dcaeb",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nwd='/home/agent/.hermes/repos/FinanceManager'\\ncmd=r'''\\npython - <<'PY'\\nfrom pathlib import Path\\nimport csv, os, subprocess, stat, tempfile, sys\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ntoken_file=Path('/home/agent/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv')\\ntext=token_file.read_text(encoding='utf-8', errors='ignore')\\ntoken=None\\nfor row in csv.reader(text.splitlines()):\\n    for cell in row:\\n        c=cell.strip()\\n        if c.startswith('github_pat_') or c.startswith('ghp_'):\\n            token=c\\n            break\\n    if token: break\\nif not token:\\n    raise SystemExit('token_not_found')\\naskpass=Path(tempfile.mkdtemp(prefix='git-askpass-'))/'askpass.sh'\\naskpass.write_text('#!/bin/sh\\\\ncase \\\"$1\\\" in\\\\n*Username*) printf \\\"%s\\\" \\\"x-access-token\\\" ;;\\\\n*Password*) printf \\\"%s\\\" \\\"$GITHUB_TOKEN\\\" ;;\\\\n*) printf \\\"%s\\\" \\\"$GITHUB_TOKEN\\\" ;;\\\\nesac\\\\n', encoding='utf-8')\\naskpass.chmod(0o700)\\nenv=os.environ.copy(); env['GIT_ASKPASS']=str(askpass); env['GITHUB_TOKEN']=token; env['GIT_TERMINAL_PROMPT']='0'\\ntry:\\n    push=subprocess.run(['git','push','origin','feat/budget-import-production-v2'], cwd=repo, env=env, text=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, timeout=180)\\n    print({'push_exit': push.returncode, 'push_output_sanitized': '\\\\n'.join(line for line in push.stdout.splitlines() if 'github_pat_' not in line and 'ghp_' not in line)})\\n    if push.returncode != 0: raise SystemExit(push.returncode)\\n    local=subprocess.check_output(['git','rev-parse','HEAD'], cwd=repo, text=True).strip()\\n    remote=subprocess.check_output(['git','ls-remote','origin','refs/heads/feat/budget-import-production-v2'], cwd=repo, env=env, text=True).split()[0]\\n    print({'local': local, 'remote': remote, 'match': local==remote})\\nfinally:\\n    try: askpass.unlink()\\n    except FileNotFoundError: pass\\n    try: askpass.parent.rmdir()\\n    except OSError: pass\\nPY\\n'''\\nprint(terminal(cmd, workdir=wd, timeout=240)['output'])\"}"
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      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"{'push_exit': 0, 'push_output_sanitized': 'To https://github.com/Gamexgit/FinanceManager.git\\\\n   a4a1a75..5c03e1f  feat/budget-import-production-v2 -> feat/budget-import-production-v2'}\\n{'local': '5c03e1fc68152af3f20be28d0fe0939eb4c1bd3c', 'remote': '5c03e1fc68152af3f20be28d0fe0939eb4c1bd3c', 'match': True}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 2.64}",
      "tool_call_id": "call_svROoAhxT9FgcYEjvphqwMzs"
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    {
      "role": "assistant",
      "content": "Push erfolgreich und Remote-Hash verifiziert. Ich mache den finalen Status-/Remote-Safety-Check.",
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          "role": "assistant",
          "status": "completed",
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            {
              "type": "output_text",
              "text": "Push erfolgreich und Remote-Hash verifiziert. Ich mache den finalen Status-/Remote-Safety-Check."
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          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"git status --short --branch && git remote -v | sed -E 's#(https://)[^/@]+@#\\\\1[redacted]@#g' && python - <<'PY'\\nfrom jarvis_finance.quality.git_safety import scan_path\\nfindings=scan_path('.')\\nprint({'git_safety_findings': len(findings)})\\nif findings:\\n    raise SystemExit(1)\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"## feat/budget-import-production-v2...origin/feat/budget-import-production-v2\\norigin\\thttps://github.com/Gamexgit/FinanceManager.git (fetch)\\norigin\\thttps://github.com/Gamexgit/FinanceManager.git (push)\\n{'git_safety_findings': 0}\", \"exit_code\": 0, \"error\": null}",
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      "role": "assistant",
      "content": "",
      "reasoning": "**Finalizing updates**\n\nI need to update the completed tasks and provide a concise summary with counts. I'll indicate that the productive runtime has changed by +5, but I won't include specific amounts. It's essential to mention the backup and tests, and I should note that npm ci was temporarily installed but then cleaned. \n\nI might include that the migrations table has 23 records and that the database is reachable, stating that the user_version is 0. I’ll avoid saying “schema current” since I’m not sure. We didn't run the full tests, just targeted ones. Alright, let’s finalize this!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Finalizing updates**\n\nI need to update the completed tasks and provide a concise summary with counts. I'll indicate that the productive runtime has changed by +5, but I won't include specific amounts. It's essential to mention the backup and tests, and I should note that npm ci was temporarily installed but then cleaned. \n\nI might include that the migrations table has 23 records and that the database is reachable, stating that the user_version is 0. I’ll avoid saying “schema current” since I’m not sure. We didn't run the full tests, just targeted ones. Alright, let’s finalize this!",
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          "summary": [
            {
              "type": "summary_text",
              "text": "**Finalizing updates**\n\nI need to update the completed tasks and provide a concise summary with counts. I'll indicate that the productive runtime has changed by +5, but I won't include specific amounts. It's essential to mention the backup and tests, and I should note that npm ci was temporarily installed but then cleaned. \n\nI might include that the migrations table has 23 records and that the database is reachable, stating that the user_version is 0. I’ll avoid saying “schema current” since I’m not sure. We didn't run the full tests, just targeted ones. Alright, let’s finalize this!"
            }
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        }
      ],
      "tool_calls": [
        {
          "id": "call_4eYDz3gNymNEQtYbvz1afmyu",
          "call_id": "call_4eYDz3gNymNEQtYbvz1afmyu",
          "response_item_id": "fc_09aa95dd40d653f4016a0adbd060788191a90bb03e9f9a0e19",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"UAT-Dokument docs/uat/uat-budget-import-review-v2.md erstellen/ergänzen\",\"id\":\"uat-6\",\"status\":\"completed\"},{\"content\":\"Verification, Git-Safety, Commit/Push falls Dokument geändert\",\"id\":\"uat-7\",\"status\":\"completed\"},{\"content\":\"Abschlussbericht mit Counts, ohne echte Beträge\",\"id\":\"uat-8\",\"status\":\"completed\"}]}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"uat-0\", \"content\": \"Preflight: Branch, Git sauber, Backend/Frontend/DB/Schema/Kandidaten/Git-Safety prüfen\", \"status\": \"completed\"}, {\"id\": \"uat-1\", \"content\": \"Runtime-Backup erstellen und Checksum/outside-repo verifizieren\", \"status\": \"completed\"}, {\"id\": \"uat-2\", \"content\": \"Aggregierte Kandidatenübersicht ohne Beträge erstellen\", \"status\": \"completed\"}, {\"id\": \"uat-3\", \"content\": \"Kleines sicheres UAT-Set auswählen und Preview durchführen\", \"status\": \"completed\"}, {\"id\": \"uat-4\", \"content\": \"Einzel-Confirm nur sicherer Kandidaten mit Audit/Nachkontrolle\", \"status\": \"completed\"}, {\"id\": \"uat-5\", \"content\": \"Dashboard/API-Sanity für Ausgaben/Einnahmen/Budgetstatus/Analysen\", \"status\": \"completed\"}, {\"id\": \"uat-6\", \"content\": \"UAT-Dokument docs/uat/uat-budget-import-review-v2.md erstellen/ergänzen\", \"status\": \"completed\"}, {\"id\": \"uat-7\", \"content\": \"Verification, Git-Safety, Commit/Push falls Dokument geändert\", \"status\": \"completed\"}, {\"id\": \"uat-8\", \"content\": \"Abschlussbericht mit Counts, ohne echte Beträge\", \"status\": \"completed\"}], \"summary\": {\"total\": 9, \"pending\": 0, \"in_progress\": 0, \"completed\": 9, \"cancelled\": 0}}",
      "tool_call_id": "call_4eYDz3gNymNEQtYbvz1afmyu"
    },
    {
      "role": "assistant",
      "content": "## Budget Import Review UAT v2 — abgeschlossen, Sir\n\n**Status:** kontrollierter UAT-Lauf durchgeführt.  \n**Kein neuer Feature-Sprint. Keine Massenbestätigung. Keine Beträge im Chat.**\n\n- **Branch:** `feat/budget-import-production-v2`\n- **Basis-Commit vor UAT:** `a4a1a75aec47e1ac398337d92b73b58aab3cb7cc`\n- **UAT-Doku-Commit:** `5c03e1fc68152af3f20be28d0fe0939eb4c1bd3c`\n- **Push-Status:** erfolgreich\n- **Remote-Hash:** verifiziert, Match mit lokalem HEAD\n\n---\n\n## 1. Preflight\n\n- **Aktueller Branch korrekt:** ja — `feat/budget-import-production-v2`\n- **Backend läuft:** ja — HTTP `200`\n- **Frontend läuft:** ja — HTTP `200`\n- **Runtime-DB erreichbar:** ja\n- **Runtime-DB außerhalb Repo:** ja\n- **Schema/Migrationen erreichbar:** ja — `schema_migrations`: 23 Einträge\n- **Neue Kandidaten vorhanden:** ja\n- **Git working tree vor UAT sauber:** ja\n- **Git-Safety vor UAT sauber:** ja\n\n---\n\n## 2. Runtime Backup\n\n- **Runtime Backup erstellt:** ja\n- **Checksum verifiziert:** ja\n- **Backup außerhalb Repo:** ja\n- **Backup-Datei:**  \n  `/home/agent/jarvis_runtime/finance-system/backups/finance-runtime-db-budget-import-review-uat-v2-20260518T092019Z.sqlite3`\n- **Checksum-Datei:**  \n  `/home/agent/jarvis_runtime/finance-system/backups/finance-runtime-db-budget-import-review-uat-v2-20260518T092019Z.sqlite3.sha256`\n\n---\n\n## 3. Kandidatenübersicht, aggregiert\n\n**Gesamtbestand Kandidaten:** 13274\n\nV2-Quellen:\n\n- **VISA:** 1376\n- **Migros:** 49\n- **Raiffeisen:** 47\n- **AKB:** 332\n\nAggregiert über alle Kandidaten:\n\n- **Auto-kategorisiert / mit Kategorie-Vorschlag:** 9208\n- **Review nötig:** 2695\n- **Transfers:** 61\n- **Investment Transfers / True Wealth:** 0\n- **Kreditkartenausgleich:** 0\n- **covered_by_migros:** 540\n- **Duplikat-Kandidaten:** 49\n- **Einnahmen-Kandidaten:** 0\n- **Unklare Kandidaten:** 592\n\nHinweis: Es gibt weiterhin Legacy-/superseded-/Reference-Kandidaten aus älteren Budgetphasen. Der UAT wurde auf die v2-Quellen beschränkt.\n\n---\n\n## 4. UAT durchgeführt\n\n**UAT durchgeführt:** ja  \n**Produktive Runtime verändert:** ja — kontrolliert, nur durch Einzel-Confirm nach Preview.\n\n### Bestätigt\n\n- **VISA-Abos bestätigt:** 3\n- **klare VISA-Ausgaben bestätigt:** 2\n- **Migros bestätigt:** 0\n- **Einnahmen bestätigt:** 0\n- **Transfers bestätigt:** 0\n- **Kreditkartenausgleiche bestätigt:** 0\n- **Investment Transfers bestätigt:** 0\n\n**Neue produktive `budget_transactions`:** 5\n\nAlle 5 bestätigten Fälle geprüft:\n\n- `budget_transaction` erstellt: ja\n- Kandidatstatus `confirmed`: ja\n- `confirmed_transaction_id` gesetzt: ja\n- `source_type='import_candidate'`: ja\n- `source_candidate_id` korrekt verlinkt: ja\n- Audit vorhanden: ja\n\n---\n\n## 5. Nicht bestätigte / Review-Fälle\n\n- **Migros-Bons geprüft:** 3\n  - **Bestätigt:** 0\n  - Grund: alle v2-Migros-Bons sind als Duplikatkandidaten erkannt.\n  - Confirm ohne explizites `allow_duplicate` wurde korrekt blockiert.\n  - Keine Doppelbuchung. Sehr erfreulich. Buchhaltung muss langweilig sein.\n\n- **Galaxus/Digitec geprüft:** 1\n  - Split-Draft/Review getestet.\n  - Nicht produktiv bestätigt.\n\n- **AKB/Raiffeisen Transfer geprüft:** 1\n  - Transfer-Review/Preview getestet.\n  - Nicht produktiv bestätigt.\n\n- **Kreditkartenausgleich:** keine Kandidaten vorhanden.\n- **True Wealth / Investment Transfer:** keine Kandidaten vorhanden.\n- **Einnahmen:** keine klaren Kandidaten vorhanden.\n\n**Anzahl nicht bestätigte unsichere/geprüfte Kandidaten:** 5  \nDavon:\n\n- 3 Migros-Duplikate\n- 1 Galaxus/Split-Review\n- 1 Transfer-Review\n\n---\n\n## 6. Validierung Importlogik\n\n- **Duplikate erkannt:** ja\n- **covered_by_migros korrekt:** ja\n  - VISA-2026 `covered_by_migros`: 52\n  - davon produktiv bestätigt: 0\n  - Doppelzählung: nein\n- **Migros Artikelzeilen als Detaildaten:** ja\n  - Detailzeilen vorhanden: 1448\n  - keine Artikelzeilen als Hauptbuchungen bestätigt\n- **Transfers zählen nicht als Einnahme/Ausgabe:** ja\n  - UAT-Nachkontrolle: 0 Transfer-Kandidaten als Expense/Income bestätigt\n- **Kreditkartenausgleich erkannt:** keine Kandidaten im aktuellen Runtime-Set vorhanden\n- **Investment Transfers / True Wealth erkannt:** keine Kandidaten im aktuellen Runtime-Set vorhanden\n- **Einkünfte erkannt:** keine klaren Kandidaten im aktuellen Runtime-Set vorhanden\n\n---\n\n## 7. Budgetauswertung / Dashboard\n\n- **Effektive Ausgaben aktualisiert:** ja\n- **Effektive Einnahmen aktualisiert:** keine neuen Einnahmen bestätigt; Seite/API erreichbar\n- **Budgetstatus aktualisiert:** ja\n- **Kategorieanalyse erreichbar/aktualisiert:** ja\n- **Monatsvergleich erreichbar:** ja\n- **Review aktualisiert:** ja\n\nBrowser/API sanity lokal und via Tailscale: OK.\n\nGeprüfte Tailscale-Routen/APIs jeweils HTTP `200`:\n\n- `/`\n- `/api/health`\n- `/api/budget/transaction-candidates?tab=visa&budget_year=2026`\n- `/planning/budget/expenses/review`\n- `/planning/budget/expenses/actual`\n- `/planning/budget/income/actual`\n- `/planning/budget/status`\n- `/planning/budget/analysis/categories`\n- `/planning/budget/analysis/monthly-comparison`\n\n---\n\n## 8. Merchant/Alias / Regeln\n\n- **Merchant/Alias angepasst:** nein\n- **Neue Regel angelegt:** nein\n- **Kategorie-Overrides:** ja — 5 UAT-Kandidaten\n- **Produktive Buchung durch Regelanwendung:** nein\n\nBeobachtung: Die VISA-Abos mussten auf die vorhandene Abo-/Freizeit-Kategorie gesetzt werden, bevor Confirm möglich war. Das spricht für spätere Regel-/Alias-Verfeinerung, aber nicht für neue Feature-Entwicklung in diesem UAT.\n\n---\n\n## 9. UAT-Dokument\n\n**UAT-Dokument erstellt:** ja\n\nPfad:\n\n`docs/uat/uat-budget-import-review-v2.md`\n\nInhalt:\n\n- Datum\n- Branch\n- Runtime Backup\n- getestete Kandidatentypen\n- Confirm-Fälle\n- Nicht-confirmed Fälle\n- Transfer-Fälle\n- Duplikatfälle\n- Merchant/Alias-Anpassungen\n- offene Probleme\n- keine Beträge\n\n---\n\n## 10. Verification\n\n- **Python compile:** OK\n- **Backend kritische Tests:** OK — `20 passed`\n  - `test_budget_import_production_v2.py`\n  - `test_budget_import_production_v1.py`\n  - `test_budget_phase18_core_flow.py`\n  - `test_budget_phase19_review_productivity.py`\n- **Frontend kritische Tests:** OK — `12 passed`\n  - `BudgetImportProductionV2.test.ts`\n  - `BudgetUxV2.test.ts`\n- **Frontend build:** OK\n  - bekannte Chunk-Warnung, kein Build-Fehler\n- **Git-Safety:** OK\n- **git diff --check:** OK\n- **Browser/Tailscale sanity:** OK\n- **Git status final:** sauber\n\nHinweis: `frontend/node_modules` wurde temporär per `npm ci` wiederhergestellt, damit Vitest/Build laufen konnten, danach wieder entfernt. Keine Runtime-/Build-Artefakte im Git.\n\n---\n\n## 11. Git\n\n- **Commit:** `5c03e1fc68152af3f20be28d0fe0939eb4c1bd3c`\n- **Commit Message:** `docs: record budget import review uat v2`\n- **Push-Status:** erfolgreich\n- **Remote-Hash:** verifiziert\n- **Tokenhaltiger Remote gespeichert:** nein\n\n---\n\n## 12. Offene Probleme / Grenzen\n\n- Aktuelles Runtime-Set enthält keine erkannten Kreditkartenausgleich-, True-Wealth-/Investment-Transfer- oder Einnahmen-Kandidaten.\n- Migros-v2-Kandidaten sind vollständig Duplikatkandidaten; daher keine produktive Migros-Buchung im UAT. Das ist korrekt und verhindert Doppelzählung.\n- Galaxus/Digitec braucht fachliche Split-/Kategorieprüfung vor Confirm.\n- Transferkandidaten wurden bewusst nicht produktiv bestätigt, da dieser UAT klein und konservativ bleiben sollte.\n- Keine Bulk-Confirm-Aktion wurde ausgeführt.\n\n## Ergebnis\n\n**UAT erfolgreich.**  \nDie Importlogik hat bei der kontrollierten Erstbestätigung die wichtigsten Sicherheitsgrenzen gehalten: Preview → Confirm → Audit, Duplikatsperre, keine Migros-Doppelzählung, keine Massenbuchung, keine Beträge im Bericht.",
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              "text": "## Budget Import Review UAT v2 — abgeschlossen, Sir\n\n**Status:** kontrollierter UAT-Lauf durchgeführt.  \n**Kein neuer Feature-Sprint. Keine Massenbestätigung. Keine Beträge im Chat.**\n\n- **Branch:** `feat/budget-import-production-v2`\n- **Basis-Commit vor UAT:** `a4a1a75aec47e1ac398337d92b73b58aab3cb7cc`\n- **UAT-Doku-Commit:** `5c03e1fc68152af3f20be28d0fe0939eb4c1bd3c`\n- **Push-Status:** erfolgreich\n- **Remote-Hash:** verifiziert, Match mit lokalem HEAD\n\n---\n\n## 1. Preflight\n\n- **Aktueller Branch korrekt:** ja — `feat/budget-import-production-v2`\n- **Backend läuft:** ja — HTTP `200`\n- **Frontend läuft:** ja — HTTP `200`\n- **Runtime-DB erreichbar:** ja\n- **Runtime-DB außerhalb Repo:** ja\n- **Schema/Migrationen erreichbar:** ja — `schema_migrations`: 23 Einträge\n- **Neue Kandidaten vorhanden:** ja\n- **Git working tree vor UAT sauber:** ja\n- **Git-Safety vor UAT sauber:** ja\n\n---\n\n## 2. Runtime Backup\n\n- **Runtime Backup erstellt:** ja\n- **Checksum verifiziert:** ja\n- **Backup außerhalb Repo:** ja\n- **Backup-Datei:**  \n  `/home/agent/jarvis_runtime/finance-system/backups/finance-runtime-db-budget-import-review-uat-v2-20260518T092019Z.sqlite3`\n- **Checksum-Datei:**  \n  `/home/agent/jarvis_runtime/finance-system/backups/finance-runtime-db-budget-import-review-uat-v2-20260518T092019Z.sqlite3.sha256`\n\n---\n\n## 3. Kandidatenübersicht, aggregiert\n\n**Gesamtbestand Kandidaten:** 13274\n\nV2-Quellen:\n\n- **VISA:** 1376\n- **Migros:** 49\n- **Raiffeisen:** 47\n- **AKB:** 332\n\nAggregiert über alle Kandidaten:\n\n- **Auto-kategorisiert / mit Kategorie-Vorschlag:** 9208\n- **Review nötig:** 2695\n- **Transfers:** 61\n- **Investment Transfers / True Wealth:** 0\n- **Kreditkartenausgleich:** 0\n- **covered_by_migros:** 540\n- **Duplikat-Kandidaten:** 49\n- **Einnahmen-Kandidaten:** 0\n- **Unklare Kandidaten:** 592\n\nHinweis: Es gibt weiterhin Legacy-/superseded-/Reference-Kandidaten aus älteren Budgetphasen. Der UAT wurde auf die v2-Quellen beschränkt.\n\n---\n\n## 4. UAT durchgeführt\n\n**UAT durchgeführt:** ja  \n**Produktive Runtime verändert:** ja — kontrolliert, nur durch Einzel-Confirm nach Preview.\n\n### Bestätigt\n\n- **VISA-Abos bestätigt:** 3\n- **klare VISA-Ausgaben bestätigt:** 2\n- **Migros bestätigt:** 0\n- **Einnahmen bestätigt:** 0\n- **Transfers bestätigt:** 0\n- **Kreditkartenausgleiche bestätigt:** 0\n- **Investment Transfers bestätigt:** 0\n\n**Neue produktive `budget_transactions`:** 5\n\nAlle 5 bestätigten Fälle geprüft:\n\n- `budget_transaction` erstellt: ja\n- Kandidatstatus `confirmed`: ja\n- `confirmed_transaction_id` gesetzt: ja\n- `source_type='import_candidate'`: ja\n- `source_candidate_id` korrekt verlinkt: ja\n- Audit vorhanden: ja\n\n---\n\n## 5. Nicht bestätigte / Review-Fälle\n\n- **Migros-Bons geprüft:** 3\n  - **Bestätigt:** 0\n  - Grund: alle v2-Migros-Bons sind als Duplikatkandidaten erkannt.\n  - Confirm ohne explizites `allow_duplicate` wurde korrekt blockiert.\n  - Keine Doppelbuchung. Sehr erfreulich. Buchhaltung muss langweilig sein.\n\n- **Galaxus/Digitec geprüft:** 1\n  - Split-Draft/Review getestet.\n  - Nicht produktiv bestätigt.\n\n- **AKB/Raiffeisen Transfer geprüft:** 1\n  - Transfer-Review/Preview getestet.\n  - Nicht produktiv bestätigt.\n\n- **Kreditkartenausgleich:** keine Kandidaten vorhanden.\n- **True Wealth / Investment Transfer:** keine Kandidaten vorhanden.\n- **Einnahmen:** keine klaren Kandidaten vorhanden.\n\n**Anzahl nicht bestätigte unsichere/geprüfte Kandidaten:** 5  \nDavon:\n\n- 3 Migros-Duplikate\n- 1 Galaxus/Split-Review\n- 1 Transfer-Review\n\n---\n\n## 6. Validierung Importlogik\n\n- **Duplikate erkannt:** ja\n- **covered_by_migros korrekt:** ja\n  - VISA-2026 `covered_by_migros`: 52\n  - davon produktiv bestätigt: 0\n  - Doppelzählung: nein\n- **Migros Artikelzeilen als Detaildaten:** ja\n  - Detailzeilen vorhanden: 1448\n  - keine Artikelzeilen als Hauptbuchungen bestätigt\n- **Transfers zählen nicht als Einnahme/Ausgabe:** ja\n  - UAT-Nachkontrolle: 0 Transfer-Kandidaten als Expense/Income bestätigt\n- **Kreditkartenausgleich erkannt:** keine Kandidaten im aktuellen Runtime-Set vorhanden\n- **Investment Transfers / True Wealth erkannt:** keine Kandidaten im aktuellen Runtime-Set vorhanden\n- **Einkünfte erkannt:** keine klaren Kandidaten im aktuellen Runtime-Set vorhanden\n\n---\n\n## 7. Budgetauswertung / Dashboard\n\n- **Effektive Ausgaben aktualisiert:** ja\n- **Effektive Einnahmen aktualisiert:** keine neuen Einnahmen bestätigt; Seite/API erreichbar\n- **Budgetstatus aktualisiert:** ja\n- **Kategorieanalyse erreichbar/aktualisiert:** ja\n- **Monatsvergleich erreichbar:** ja\n- **Review aktualisiert:** ja\n\nBrowser/API sanity lokal und via Tailscale: OK.\n\nGeprüfte Tailscale-Routen/APIs jeweils HTTP `200`:\n\n- `/`\n- `/api/health`\n- `/api/budget/transaction-candidates?tab=visa&budget_year=2026`\n- `/planning/budget/expenses/review`\n- `/planning/budget/expenses/actual`\n- `/planning/budget/income/actual`\n- `/planning/budget/status`\n- `/planning/budget/analysis/categories`\n- `/planning/budget/analysis/monthly-comparison`\n\n---\n\n## 8. Merchant/Alias / Regeln\n\n- **Merchant/Alias angepasst:** nein\n- **Neue Regel angelegt:** nein\n- **Kategorie-Overrides:** ja — 5 UAT-Kandidaten\n- **Produktive Buchung durch Regelanwendung:** nein\n\nBeobachtung: Die VISA-Abos mussten auf die vorhandene Abo-/Freizeit-Kategorie gesetzt werden, bevor Confirm möglich war. Das spricht für spätere Regel-/Alias-Verfeinerung, aber nicht für neue Feature-Entwicklung in diesem UAT.\n\n---\n\n## 9. UAT-Dokument\n\n**UAT-Dokument erstellt:** ja\n\nPfad:\n\n`docs/uat/uat-budget-import-review-v2.md`\n\nInhalt:\n\n- Datum\n- Branch\n- Runtime Backup\n- getestete Kandidatentypen\n- Confirm-Fälle\n- Nicht-confirmed Fälle\n- Transfer-Fälle\n- Duplikatfälle\n- Merchant/Alias-Anpassungen\n- offene Probleme\n- keine Beträge\n\n---\n\n## 10. Verification\n\n- **Python compile:** OK\n- **Backend kritische Tests:** OK — `20 passed`\n  - `test_budget_import_production_v2.py`\n  - `test_budget_import_production_v1.py`\n  - `test_budget_phase18_core_flow.py`\n  - `test_budget_phase19_review_productivity.py`\n- **Frontend kritische Tests:** OK — `12 passed`\n  - `BudgetImportProductionV2.test.ts`\n  - `BudgetUxV2.test.ts`\n- **Frontend build:** OK\n  - bekannte Chunk-Warnung, kein Build-Fehler\n- **Git-Safety:** OK\n- **git diff --check:** OK\n- **Browser/Tailscale sanity:** OK\n- **Git status final:** sauber\n\nHinweis: `frontend/node_modules` wurde temporär per `npm ci` wiederhergestellt, damit Vitest/Build laufen konnten, danach wieder entfernt. Keine Runtime-/Build-Artefakte im Git.\n\n---\n\n## 11. Git\n\n- **Commit:** `5c03e1fc68152af3f20be28d0fe0939eb4c1bd3c`\n- **Commit Message:** `docs: record budget import review uat v2`\n- **Push-Status:** erfolgreich\n- **Remote-Hash:** verifiziert\n- **Tokenhaltiger Remote gespeichert:** nein\n\n---\n\n## 12. Offene Probleme / Grenzen\n\n- Aktuelles Runtime-Set enthält keine erkannten Kreditkartenausgleich-, True-Wealth-/Investment-Transfer- oder Einnahmen-Kandidaten.\n- Migros-v2-Kandidaten sind vollständig Duplikatkandidaten; daher keine produktive Migros-Buchung im UAT. Das ist korrekt und verhindert Doppelzählung.\n- Galaxus/Digitec braucht fachliche Split-/Kategorieprüfung vor Confirm.\n- Transferkandidaten wurden bewusst nicht produktiv bestätigt, da dieser UAT klein und konservativ bleiben sollte.\n- Keine Bulk-Confirm-Aktion wurde ausgeführt.\n\n## Ergebnis\n\n**UAT erfolgreich.**  \nDie Importlogik hat bei der kontrollierten Erstbestätigung die wichtigsten Sicherheitsgrenzen gehalten: Preview → Confirm → Audit, Duplikatsperre, keine Migros-Doppelzählung, keine Massenbuchung, keine Beträge im Bericht."
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      "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n  • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n  • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n  • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n  • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n  1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n  2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n  3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n     • `references/<topic>.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n     • `templates/<name>.<ext>` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n     • `scripts/<name>.<ext>` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n     Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n  4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n  • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n  • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n  • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n  • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them."
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      "tool_calls": [
        {
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          "call_id": "call_ZomIvvM9UBTB8epoPGtkC1bG",
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            "arguments": "{\"action\":\"write_file\",\"name\":\"finance-system-architecture\",\"file_path\":\"references/budget-import-review-uat.md\",\"file_content\":\"# Budget Import Review UAT\\n\\nUse this reference for controlled first productive confirmation of real Budget/Cashflow CSV import candidates after the regular CSV import workflow has already created review candidates.\\n\\n## Trigger\\n\\nUser asks for a UAT / controlled review run over existing budget import candidates from sources such as VISA, Migros, Raiffeisen, and AKB, and explicitly does not want a new feature sprint.\\n\\n## Core rule\\n\\nThis is an operations/UAT workflow, not implementation work. Do not add import sources, providers, portfolio features, OCR, analytics, or new feature surfaces. Confirm only a tiny, explicitly bounded sample after Preview → Confirm → Audit.\\n\\n## Required sequence\\n\\n1. Preflight the existing repo/runtime state:\\n   - expected feature branch\\n   - backend and frontend reachable\\n   - runtime DB reachable and outside the repo\\n   - schema/migrations readable\\n   - candidates present\\n   - git working tree clean\\n   - Git-safety clean\\n2. Create a runtime DB backup before any productive confirmation:\\n   - backup outside repo\\n   - checksum file written\\n   - checksum verified\\n3. Produce aggregate-only candidate counts:\\n   - total\\n   - by v2 source (`visa_credit_card`, `migros_receipts`, `raiffeisen_bank`, `akb_bank`)\\n   - auto-categorized, review-needed, transfers, investment transfers, credit-card payments, covered-by-Migros, duplicates, income, unclear\\n   - no real amounts or raw rows in chat/docs\\n4. Select a deliberately small UAT set:\\n   - at most 3 safe VISA subscriptions\\n   - at most 3 Migros receipt candidates\\n   - at most 2 clear VISA expenses, excluding Galaxus/Digitec\\n   - 1 Galaxus/Digitec candidate for review/split preview only\\n   - 1 AKB/Raiffeisen transfer candidate for review only\\n   - 1 credit-card settlement / investment transfer / income candidate only if clearly present\\n5. For each productive confirmation:\\n   - ensure category/account/type are explicit\\n   - run preview first\\n   - confirm one-by-one, never bulk-confirm the whole source\\n   - verify candidate status `confirmed`, `confirmed_transaction_id`, productive transaction row, source linkage, and audit rows\\n6. For non-productive review cases:\\n   - Migros duplicate candidates: preview and confirm-block probe are acceptable, but do not use `allow_duplicate` unless the user explicitly approves that specific candidate\\n   - Galaxus/Digitec: open or create split draft/preview, do not confirm unless fachlich eindeutig\\n   - transfers: mark/preview as transfer if useful, but do not book as expense/income\\n   - covered-by-Migros: do not confirm as productive card expense\\n7. Run dashboard/API sanity after UAT:\\n   - review page\\n   - effective expenses\\n   - effective income\\n   - budget status\\n   - category analysis\\n   - monthly comparison\\n   - Tailscale route if dashboard is meant for remote/iPhone use\\n8. Document the UAT under `docs/uat/` with aggregate counts only:\\n   - date, branch, backup path/checksum status\\n   - tested candidate types\\n   - confirmed counts\\n   - non-confirmed counts/reasons\\n   - duplicate/covered-by-Migros/transfer findings\\n   - merchant/rule adjustments\\n   - verification results\\n   - open issues\\n9. If docs/code changed, run verification and commit/push:\\n   - Python compile or critical backend tests\\n   - critical frontend tests/build if touched or requested\\n   - clean generated caches/build artifacts before Git-safety\\n   - Git-safety\\n   - `git diff --check`\\n   - remote hash verification after push\\n\\n## Pitfalls\\n\\n- Do not treat built batch-confirm tooling as permission to mass-confirm real candidates.\\n- Do not force-confirm duplicate Migros receipts during first UAT; a duplicate block is a success signal unless the user approves a specific exception.\\n- Do not count `covered_by_migros` credit-card rows as expenses; they exist to prevent double counting.\\n- Do not confirm transfers as income/expense just to make the UAT more complete.\\n- If credit-card settlement, True Wealth / investment transfer, or income candidates are absent in the current runtime set, report absence rather than fabricating a test case.\\n- Category overrides on a tiny sample are acceptable UAT actions; creating broad merchant/rule automation is not unless explicitly requested.\\n- Keep reports aggregate-only: counts/status/yes-no, no real amounts, raw descriptions, account identifiers, CSV rows, or DB artifacts.\\n\\n## Verification evidence to preserve\\n\\n- Backup path and checksum status (not DB contents)\\n- Candidate-count deltas\\n- Confirmed transaction count by source/type\\n- Duplicate/covered-by-Migros safeguards\\n- Audit count or presence checks\\n- Browser/API route status codes\\n- Commit and remote hash if documentation changed\\n\"}"
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    {
      "role": "tool",
      "name": "skill_manage",
      "content": "{\"success\": true, \"message\": \"File 'references/budget-import-review-uat.md' written to skill 'finance-system-architecture'.\", \"path\": \"/home/agent/.hermes/skills/finance/finance-system-architecture/references/budget-import-review-uat.md\"}",
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      "tool_calls": [
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            "arguments": "{\"action\":\"patch\",\"name\":\"finance-system-architecture\",\"old_string\":\"For Budget/Cashflow regular CSV imports from Google Drive Budget sources, follow `references/budget-csv-import-production-v2.md`: support source-specific profiles for VISA, Migros receipts, Raiffeisen and AKB; keep Drive files temp-only; create candidates via Dry Run → Review → Confirm → Audit; prove idempotency with a second import; classify Migros coverage, internal transfers, True Wealth investment transfers, credit-card settlements and income without producing automatic productive bookings.\\n\",\"new_string\":\"For Budget/Cashflow regular CSV imports from Google Drive Budget sources, follow `references/budget-csv-import-production-v2.md`: support source-specific profiles for VISA, Migros receipts, Raiffeisen and AKB; keep Drive files temp-only; create candidates via Dry Run → Review → Confirm → Audit; prove idempotency with a second import; classify Migros coverage, internal transfers, True Wealth investment transfers, credit-card settlements and income without producing automatic productive bookings.\\n\\nFor controlled first UAT confirmation of existing Budget import candidates, follow `references/budget-import-review-uat.md`: treat it as an operations/UAT pass, not a feature sprint; preflight branch/runtime/Git-safety, create a verified runtime backup, select only a tiny safe sample, confirm one-by-one after Preview → Confirm → Audit, use duplicate/covered-by-Migros/transfer blocks as success signals, document aggregate counts only under `docs/uat/`, and never bulk-confirm real candidates without explicit current-turn approval.\\n\"}"
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      "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'finance-system-architecture' (1 replacement).\"}",
      "tool_call_id": "call_tvJlikzjR84k2g1pt0QNXkRK"
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      "content": "Updated the skill library.\n\n- Added new support reference under existing umbrella skill:\n  - `finance-system-architecture/references/budget-import-review-uat.md`\n- Patched `finance-system-architecture/SKILL.md` to point future Budget Import UAT work to that reference.\n\nCaptured durable workflow lessons:\n- UAT is operations, not a feature sprint.\n- Always preflight runtime/branch/Git-safety and create verified backup before productive confirms.\n- Use tiny, bounded samples only.\n- Confirm one-by-one after Preview → Confirm → Audit.\n- Treat Migros duplicate blocks, `covered_by_migros`, and transfer non-booking as success signals.\n- Report aggregate counts only; no amounts/raw rows.\n- Document under `docs/uat/` and commit/push docs if changed.",
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              "text": "Updated the skill library.\n\n- Added new support reference under existing umbrella skill:\n  - `finance-system-architecture/references/budget-import-review-uat.md`\n- Patched `finance-system-architecture/SKILL.md` to point future Budget Import UAT work to that reference.\n\nCaptured durable workflow lessons:\n- UAT is operations, not a feature sprint.\n- Always preflight runtime/branch/Git-safety and create verified backup before productive confirms.\n- Use tiny, bounded samples only.\n- Confirm one-by-one after Preview → Confirm → Audit.\n- Treat Migros duplicate blocks, `covered_by_migros`, and transfer non-booking as success signals.\n- Report aggregate counts only; no amounts/raw rows.\n- Document under `docs/uat/` and commit/push docs if changed."
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}