{
  "session_id": "20260515_104455_1e842f",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-15T09:42:16.586070",
  "last_updated": "2026-05-15T10:53:08.788874",
  "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 via curl: pages, databases, blocks, search.\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    - 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% — 2,196/2,200 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 path: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv` (outside repo, mode 600); never store/quote token.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [84% — 1,166/1,375 chars]\n══════════════════════════════════════════════\n**Pronouns:**\n§\n**Timezone:**\n§\n**Notes:** Mein Herr. Loyaler Partner.\n§\nContext: _(Wird ergänzt.)_\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\nConversation started: Friday, May 15, 2026 10:44 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', 'vision', 'web', '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', 'vision', 'web', '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": "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": "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": "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": 241,
  "messages": [
    {
      "role": "user",
      "content": "[M G] Danke. Der Crypto Price Update MVP ist akzeptiert.\n\nDie Umsetzung ist grundsätzlich sinnvoll:\n\n* lokaler Preis-Cache\n* kein Live-API-Call im Dashboard/Report\n* 429-Handling\n* Git-Safety sauber\n* Tests grün\n* Runtime-Daten außerhalb Git\n\nAllerdings bist du vom vorher vereinbarten Ablauf abgewichen. Das ist in diesem Fall nicht schlimm, weil der Preisupdate-Block nützlich ist. Bitte jetzt aber wieder kontrolliert auf die nächsten Prioritäten einschwenken.\n\nAktueller Stand:\n\n* Commit 3aa67d8 ist akzeptiert.\n* Preisupdate funktioniert technisch.\n* Aber nur 6 von 20 aktiven Crypto Assets hatten frische CHF-Preise.\n* 14 Assets hatten Warnings/Stale/Provider-Limit-Themen.\n* BTC-Test wurde noch nicht abgeschlossen.\n* Equity/ETF Manage UI wurde noch nicht begonnen.\n\nBitte jetzt wie folgt weiterfahren:\n\n## Teil 1: Crypto Price Update robuster machen\n\nBitte verbessere zuerst den Preisupdate-Mechanismus, bevor wir echte Reports mit Preisen ernsthaft nutzen.\n\nZiel:\nMöglichst alle vorhandenen Crypto Assets mit CoinGecko-ID sollen lokale CHF-Preise erhalten, ohne Dashboard-Live-API und ohne Rate-Limit-Crash.\n\nBitte implementiere:\n\n1. Batch-Abfrage prüfen/umsetzen\n\n* Wenn CoinGecko mehrere IDs in einem Request unterstützt, bitte nutzen.\n* Dadurch weniger API-Calls.\n* Kein Abruf pro Coin, falls Batch möglich ist.\n\n2. Konservatives Throttling\n\n* Pause zwischen Requests\n* konfigurierbar:\n\n  * --sleep-seconds\n  * --max-retries\n  * --initial-backoff\n  * --max-backoff\n\n3. CLI-Optionen ergänzen\n   Bitte vorbereiten/implementieren:\n\n* --only-missing\n* --only-stale\n* --only-symbol SYMBOL\n* --limit N\n* --dry-run\n* --currency CHF\n\n4. Bessere Summary\n   Bitte nach Update nur aggregiert ausgeben:\n\n* total assets\n* updated\n* cached\n* skipped\n* stale\n* warnings\n* errors\n* assets still missing local price\n* keine echten Mengen/Werte\n\n5. Data Quality\n\n* Für Assets ohne frischen Preis Data-Quality-Alert erzeugen oder aktualisieren.\n* Alert-Dedupe respektieren.\n* Keine Alert-Flut.\n\n6. Tests\n   Bitte Tests ergänzen für:\n\n* Batch-Request\n* --only-missing\n* --only-stale\n* --only-symbol\n* --limit\n* --dry-run\n* Rate-Limit mit Backoff\n* Alert-Dedupe bei fehlenden Preisen\n\nDanach bitte produktiv gegen Runtime-DB nochmals ausführen, aber vorsichtig und ohne echte Werte im Chat.\n\nBitte berichten:\n\n* Anzahl Assets total\n* Anzahl Assets mit frischem CHF-Preis\n* Anzahl weiterhin ohne frischen Preis\n* Anzahl Warnings/Errors\n* keine Preise/Werte/Mengen ausgeben\n\n## Teil 2: BTC-Test nachholen\n\nDanach bitte den BTC-Test wie zuletzt entschieden nachholen:\n\nOption A:\nBTC mit allen BTC-Wallet-Holdings aus Excel importieren.\n\nBedingungen:\n\n* Nur Bitcoin BTC\n* Coin-Name: Bitcoin\n* Symbol: BTC\n* CoinGecko-ID: bitcoin\n* Mapping-Status: selected\n* Snapshot-Datum: 31.12.2025\n* Alle BTC-Wallet-Holdings aus der echten Excel-Datei übernehmen\n* Pro BTC-Wallet mit Bestand genau eine initial_snapshot_addition bzw. initial_snapshot-Holding erzeugen\n* Mengen exakt als Decimal/Text übernehmen\n* Keine Float-Konvertierung\n* Keine echten Mengen/Werte im Chat\n* Keine anderen Coins importieren\n* Audit-Log Pflicht\n* Keine doppelte Holding für asset_id + wallet_id\n* Legacy-CHF-Werte ignorieren\n* Git-Safety vor/nachher prüfen\n\nBericht nur aggregiert:\n\n* BTC-Test durchgeführt: ja/nein\n* Anzahl BTC-Wallet-Holdings importiert\n* Asset-Anzahl erhöht: ja/nein\n* Holding-Anzahl erhöht: ja/nein\n* Audit-Logs erstellt: ja/nein\n* Doppelte Holdings: ja/nein\n* Fehler/Warnings\n* Git-Safety Ergebnis\n* Git Status\n\n## Teil 3: Danach Equity/ETF Manage UI\n\nErst wenn Teil 1 und Teil 2 sauber sind, bitte mit der Equity/ETF Manage UI beginnen.\n\nZiel:\nAktien und ETFs aus PostFinance, True Wealth und Raiffeisen später im Dashboard erfassen, korrigieren und als Initial Snapshot übernehmen können — auditierbar und ohne stilles Überschreiben.\n\nGrundlogik:\n\n* Für Aktien/ETFs ist ISIN die primäre Identifikation.\n* Ticker und Exchange sind Zusatzinformationen.\n* Positionen werden über initial_position_snapshot, buy, sell, dividend, fee oder manual_adjustment abgebildet.\n* Jede Änderung braucht\nAudit-Log.\n* Fremdwährungen USD/EUR brauchen FX-Kurs und CHF-Gegenwert.\n* Keine Scheingenauigkeit, wenn Kaufhistorie, Gebühren oder historische FX fehlen.\n* Erst mit synthetischen Daten und Dummy-Depots bauen.\n* Keine echten PostFinance-/TrueWealth-/Raiffeisen-Daten importieren.\n\nBitte vormerken für die Equity/ETF Manage UI:\n\n* Aktie/ETF als Initial Snapshot hinzufügen\n* Buy\n* Partial Sell\n* Full Sell\n* Dividend\n* ETF Distribution\n* Fee\n* Manual Adjustment\n* ISIN Pflicht oder stark empfohlen\n* ISIN/Ticker dürfen nicht beide leer sein\n* Währung Pflicht\n* Depot/Konto Pflicht\n* FX bei Fremdwährung\n* Audit-Log Pflicht\n* Notiz Pflicht bei manual_adjustment oder unvollständiger Historie\n\n## Weitere Funktionsmodule bitte vormerken, aber noch nicht bauen\n\nBitte für später als Backlog vormerken:\n\n1. Portfolio Health Seite\n\n* Gesamtwert CHF\n* Assetklassen\n* Plattformen\n* Datenqualität\n* Cashquote\n* fehlende Preise/FX\n\n2. Reconciliation / Abgleich-Seite\n\n* Dashboard-Bestand vs. letzter Snapshot\n* manuelle Prüfung „Bestand geprüft am Datum X“\n* Differenzen sichtbar machen\n\n3. Data Quality Center\n\n* fehlende Preise\n* stale prices\n* fehlende FX\n* fehlende ISIN\n* fehlende CoinGecko-ID\n* unvollständige Historie\n\n4. Manual Review Queue\n\n* ausgelassene Coins\n* unsichere Mappings\n* offene Alerts\n* offene Datenqualitätsprobleme\n\n5. Backup / Restore\n\n* Runtime-DB Backup\n* verschlüsseltes Backup optional\n* Restore-Test später\n\n6. Safe Mode / Read-only Mode\n\n* Dashboard im Lesemodus\n* Schreibfunktionen bewusst aktivieren\n* Schutz gegen versehentliche Änderungen\n\nBitte jetzt zuerst Teil 1 umsetzen, dann Teil 2, dann Teil 3. Keine echten Aktien-/ETF-Daten importieren."
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      "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\nUser asked: „Bitte zuerst diese beiden Commits pushen.\n\nVor Push:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nKein Force-Push.\nFalls Remote neue Commits enthält: nicht überschreiben, zuerst berichten.\n\nNach Push bitte berichten:\n\n* Remote HEAD\n* Tests\n* Git-Safety\n* Git Status\n\nErst danach weiterbauen.“\n\n## Goal\nFinanceManager bis zur MVP-Reife weiterentwickeln und absichern:\n- Zuerst die zwei lokalen Commits pushen, aber nur nach Compile, pytest, Git-Safety und Git-Status; kein Force-Push, bei Remote-Abweichung zuerst berichten.\n- Phase A Crypto MVP Hygiene abschließen: Alert Lifecycle reparieren, stale/missing Preis-Alerts automatisch resolved setzen, Data-Quality-Recheck-CLI bauen und produktiv aggregate-only prüfen.\n- Minimal Backup/Restore vor echten Imports implementieren und absichern.\n- Broker-/Bank-Dateien für PostFinance, True Wealth, Raiffeisen strukturell/dry-run analysieren, ohne echte Werte oder Dateien ins Repo zu bringen.\n- Danach Equity/ETF Initial Snapshot Dry Run, produktiver Import erst nach Freigabe, Market Data/FX, Gesamtportfolio Dashboard, Data Quality Center, Watchlist/Decision Journal, Scores/Rebalancing, später Backtesting/Monte Carlo/Projected Return.\n\n## Constraints & Preferences\n- Sprache/Kontext: Deutsch.\n- Keine Secrets, Credentials, Tokens, API Keys, Passwörter oder Connection Strings ausgeben; falls vorhanden: `[REDACTED]`.\n- Kein Force-Push.\n- Falls Remote neue Commits enthält: nicht überschreiben, zuerst berichten.\n- Git-Safety hat hohe Priorität; Runtime-/Cache-/Backup-Dateien dürfen nicht in Repo/Git landen.\n- Backups müssen ausschließlich im Runtime-Backups-Ordner außerhalb Git liegen; Git-Safety soll Backups im Repo blockieren.\n- Runtime-/Produktivdaten nur aggregate-only berichten; keine Preise, Mengen, Marktwerte, Einzelpositionen oder sensiblen Einzelwerte ausgeben.\n- Echte Broker-/Bankdaten zunächst nur strukturell und per Dry Run analysieren; keine produktive DB-Veränderung.\n- Keine echten Dateien ins Repo.\n- Dashboard/UI soll lokale DB lesen; keine Broker-Dateien oder Live-APIs beim Rendern.\n- Keine stillen Überschreibungen: Ledger-/Audit-Ereignisse, explizite Bestätigung bei Write-Actions.\n- Restore nur mit expliziter Bestätigung oder `--yes`.\n- Vor produktiven Imports Backup empfehlen oder erzwingen.\n- Crypto-Preis-Update API-schonend: Batch-Größe, Sleep, Retry/Backoff, Dry-Run.\n- Equity/ETF-Tests synthetisch halten, keine echten Finanzdaten in Tests.\n- Reihenfolge laut User strikt einhalten:\n  1. Push der 2 lokalen Commits\n  2. Alert-Lifecycle fixen\n  3. Minimal Backup/Restore\n  4. Broker-/Bank-Dateien strukturell mappen\n  5. Equity/ETF Initial Snapshot Dry Run\n  6. Produktiver Import nach Freigabe\n  7. Aktien-/ETF Market Data + FX\n  8. Gesamtportfolio Dashboard mit Visual Analytics\n  9. Data Quality Center\n  10. Watchlist/Decision Journal\n  11. Scores/Rebalancing\n  12. Backtesting/Monte Carlo/Projected Return\n- Nach Schritt 1–3 jeweils Tests, Git-Safety, Commit und Push durchführen.\n- Repository: `/home/agent/.hermes/repos/FinanceManager`.\n\n## Completed Actions\n1. TODO-Liste erstellt — drei ursprüngliche Teilaufgaben erfasst: Crypto Price Update robust machen; BTC-Test aus echter Excel mit Git-Safety/Audit/aggregate-only; Equity/ETF Manage UI synthetisch beginnen + Backlog [tool: todo].\n2. Repository lokalisiert — Zielrepo unter `/home/agent/.hermes/repos/FinanceManager` gefunden [tool: terminal/search_files].\n3. Git-Status geprüft in `/home/agent/.hermes/repos/FinanceManager` — Branch `main`; später `ahead of origin/main` [tool: terminal].\n4. Dateien gelesen: `src/jarvis_finance/cli/main.py`, `src/jarvis_finance/market/providers.py`, `tests/unit/test_crypto_price_update.py`, `src/jarvis_finance/quality/alerts.py` — bestehende Crypto-Refresh-/CLI-/Alert-Logik analysiert [tool: read_file].\n5. `src/jarvis_finance/market/providers.py` überarbeitet — Crypto-Provider/Refresh gehärtet mit Retry/Backoff, Dry-Run, Freshness-/Missing-Tracking, Batch-Handling und lokalen Preisprüfungen [tool: execute_code/patch].\n6. `src/jarvis_finance/cli/main.py` erweitert — `update-crypto-prices` bekam `--max-retries`, `--initial-backoff`, `--max-backoff`, `--batch-size`, `--sleep-seconds`, `--dry-run`; CLI nutzt neue Retry/Backoff-Parameter [tool: patch].\n7. `tests/unit/test_crypto_price_update.py` angepasst/erweitert — MockProvider erweitert, Tests für Dry-Run, Fresh/Failure/Missing, Batching/Retry und Alert-Verhalten ergänzt [tool: execute_code/write_file/terminal].\n8. Fehler im Crypto-Testlauf behoben — `missing_local_price_count` zählte im selben Lauf frisch aktualisierte Assets falsch; Fix mit `refreshed_fresh_asset_ids` [tool: patch/read_file].\n9. Crypto-Einzeltests ausgeführt — `pytest tests/unit/test_crypto_price_update.py -q` → `14 passed in 0.60s` [tool: terminal].\n10. Gesamttests ausgeführt — final später `110 passed` [tool: terminal].\n11. Git-Safety zunächst durch `.pytest_cache` blockiert — Fehler u. a. `.pytest_cache/CACHEDIR.TAG: runtime_cache_file_blocked`; Cache entfernt mit `rm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__`; danach `GIT_SAFETY_OK` [tool: terminal].\n12. Settings/Paths gelesen: `src/jarvis_finance/config/settings.py`, `src/jarvis_finance/config/paths.py` — Runtime-DB-/Pfadkontext geprüft ohne Secrets [tool: read_file].\n13. Crypto-Preis-Update produktiv vorsichtig ausgeführt — Dry-Run und echter Lauf mit `update-crypto-prices --currency CHF --max-age-seconds 86400 --max-retries 4 --initial-backoff 5 --max-backoff 60 --sleep-seconds 2`; exit 0 [tool: terminal].\n14. Runtime-Crypto-Aggregat geprüft — `total_assets=20 fresh_chf=20 missing_fresh_chf=0 warnings=0 errors=0` [tool: terminal].\n15. Crypto-Arbeit committed — Commit `1b5028d feat: harden crypto price refresh`, `3 files changed, 309 insertions(+), 48 deletions(-)` [tool: terminal].\n16. Architekturreferenzen gelesen: `references/crypto-single-coin-runtime-test.md`, `references/multi-wallet-crypto-and-equity-manage-ui.md` [tool: skill_view].\n17. BTC-/Excel-/Import-Kontext gesucht — keine bestehende Importlogik für `xlsx|openpyxl|initial_snapshot_addition|add_crypto_position|mapping_status` gefunden [tool: search_files].\n18. Crypto-Management-Dateien gelesen: `src/jarvis_finance/crypto/manage.py`, `src/jarvis_finance/crypto/holdings.py` [tool: read_file].\n19. BTC-Runtime-DB geprüft — Bitcoin-Asset vorhanden; aggregate-only Ergebnis: `btc_holdings 2`, `dupes 0` [tool: terminal].\n20. Excel-Datei außerhalb Repo geprüft — `/home/agent/jarvis_runtime/finance-system/imports/tmp_btc_test/crypto_coins_source.xlsx`; Existenz bestätigt, keine Inhalte ausgegeben [tool: terminal].\n21. BTC-Zeile aggregate-only abgeglichen — `btc_row_found=yes nonzero_wallet_cells=2 matched_wallets=2 asset_exists=True existing_matching_holdings=2`, `unmatched_wallets_count 0` [tool: terminal].\n22. BTC-Audit-/Snapshot-Abgleich aggregate-only geprüft — `asset_present=True holdings=2 audit_rows=2 snapshot_date_ok=2 text_qty_ok=2 legacy_values_ignored=2 duplicates=0` [tool: terminal].\n23. Equity-Dateien gelesen: `src/jarvis_finance/equity/manage.py`, `src/jarvis_finance/dashboard/pages/page_13_equity_manage.py`, `tests/unit/test_equity_manage.py` [tool: read_file].\n24. Backlog-Datei gesucht — keine bestehende `*backlog*`-Datei gefunden [tool: search_files].\n25. `src/jarvis_finance/equity/manage.py` analysiert — `get_equity_management_options(conn)`, `add_equity_transaction(...)` und bestehende Full-Sell-Validierung gefunden [tool: read_file].\n26. Dashboard-Seite `page_13_equity_manage.py` geändert — Tabs von 8 auf 9 erweitert: getrennte `Partial Sell` und `Full Sell`; Review-Tab auf `tabs[8]` verschoben [tool: patch].\n27. Equity-Test ergänzt — `test_full_sell_requires_exact_current_quantity_and_zeros_position` prüft exakte Menge für `full_sell` und Position 0 danach [tool: execute_code].\n28. Backlog erstellt — `docs/finance-backlog.md` mit Portfolio Health, Reconciliation, Data Quality Center, Manual Review Queue, Backup/Restore, Safe Mode/Read-only Mode [tool: write_file].\n29. Equity-Einzeltests ausgeführt — `pytest tests/unit/test_equity_manage.py -q` → `7 passed in 0.09s` [tool: terminal].\n30. Gesamttests ausgeführt — `pytest -q` → `110 passed in 0.98s` [tool: terminal].\n31. Git-Safety nach Equity-Arbeit ausgeführt — `GIT_SAFETY_OK`; Status zeigte Branch `ahead 1` plus geänderte/neue Equity-Dateien [tool: terminal].\n32. Equity/UI-Erweiterung committed — Commit `943c424 feat: extend equity ETF management UI`, `3 files changed, 106 insertions(+), 7 deletions(-)`, `create mode 100644 docs/finance-backlog.md` [tool: terminal].\n33. Finaler Validierungslauf zuerst falsch sequenziert — `pytest -q` erzeugte `.pytest_cache`; Git-Safety direkt danach schlug erwartbar fehl [tool: terminal].\n34. Finaler Validierungslauf korrekt wiederholt — `pytest -q && rm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__ && PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan . && git status --short --branch && ...aggregate check...` ergab `110 passed in 0.85s`, `GIT_SAFETY_OK`, `## main...origin/main [voraus 2]`, `FINAL_PRICE_AGGREGATE total_assets=20 fresh_chf=20 missing_fresh_chf=0 warnings=0 errors=0`, `FINAL_BTC_AGGREGATE holdings=2 audit_logs_present=True duplicate_pairs=0` [tool: terminal].\n35. GitHub-PR-/Workflow-Referenz geladen — `github-pr-workflow` gesichtet, nachdem User Push/Weiterbau-Reihenfolge angeordnet hat [tool: skill_view].\n\n## Active State\n- Working directory: `/home/agent/.hermes/repos/FinanceManager`.\n- Branch: `main`.\n- Zuletzt bekannter Git-Status: clean working tree; `## main...origin/main [voraus 2]`.\n- Lokale Commits noch nicht gepusht:\n  - `1b5028d feat: harden crypto price refresh`\n  - `943c424 feat: extend equity ETF management UI`\n- Remote HEAD laut User-Bericht: `3aa67d8`.\n- Modified/created files uncommitted: keine bekannt nach finaler Validierung.\n- Teststatus zuletzt: `110 passed in 0.85s`.\n- Git-Safety zuletzt: `GIT_SAFETY_OK` nach Entfernen von `.pytest_cache` und `__pycache__`.\n- Runtime aggregate zuletzt:\n  - Crypto CHF prices: `total_assets=20 fresh_chf=20 missing_fresh_chf=0 warnings=0 errors=0`\n  - BTC aggregate: `holdings=2 audit_logs_present=True duplicate_pairs=0`\n- Running processes/servers: keine bekannt.\n- Wichtige Umgebung:\n  - Commands mit Paketimport brauchen `PYTHONPATH=src`.\n  - Nach `pytest` vor Git-Safety Cache löschen: `rm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__`.\n  - Runtime-Excel außerhalb Repo: `/home/agent/jarvis_runtime/finance-system/imports/tmp_btc_test/crypto_coins_source.xlsx`.\n\n## In Progress\n- Noch nicht begonnen in den neuen Turns: Push-Vorbereitung/Push. Es wurde nur die Workflow-Referenz geladen.\n- Nächster konkreter Arbeitsschritt ist Schritt 1 des Users: vor Push Compile, pytest, Git-Safety, Git Status ausführen; dann ohne Force pushen, sofern Remote keine neuen Commits enthält.\n\n## Blocked\nKeine aktuellen Blocker bekannt.\n\nBehobene/zu beachtende temporäre Probleme:\n- Git-Safety schlägt fehl, wenn `.pytest_cache` nach `pytest` im Repo liegt:\n  - `.pytest_cache/CACHEDIR.TAG: runtime_cache_file_blocked`\n  - `.pytest_cache/README.md: runtime_cache_file_blocked`\n  - `.pytest_cache/.gitignore: runtime_cache_file_blocked`\n  - `.pytest_cache/v/cache/nodeids: runtime_cache_file_blocked`\n- Lösung: nach Tests Cache entfernen, dann Git-Safety ausführen.\n- Früherer Crypto-Testfehler durch falsches Missing-Counting frisch aktualisierter Assets wurde mit `refreshed_fresh_asset_ids` behoben.\n\n## Key Decisions\n- Crypto-Preis-Refresh wurde API-schonend und robust gemacht: Retry/Backoff, Batches, Sleep, Dry-Run, Freshness-/Missing-Handling.\n- Dry-Run schreibt keine Preise oder Alerts.\n- Beim Missing-Local-Price-Check werden im aktuellen Lauf frisch aktualisierte Assets übersprungen.\n- BTC-Excel-/Runtime-Abgleich nur aggregate-only, um echte Finanzdaten nicht offenzulegen.\n- Equity/ETF Writes bleiben auditierbar und benötigen `confirm=True`; keine stillen Überschreibungen.\n- Dashboard hat getrennte Partial-Sell- und Full-Sell-Tabs, weil `full_sell` strengere Validierung hat.\n- Backlog wurde in `docs/finance-backlog.md` dokumentiert.\n- Nach Tests muss Cache entfernt werden, bevor Git-Safety läuft.\n- Neue User-Entscheidung: Vor allem weiteren Bauen zuerst zwei lokale Commits pushen; kein Force-Push; bei Remote-Neuerungen zuerst berichten.\n- Neue User-Entscheidung: Alert Lifecycle ist nächster kleiner Block nach Push; stale/missing price Alerts sollen bei behobenen Preisen automatisch resolved werden, Historie behalten und keine Alert-Flut erzeugen.\n- Neue User-Entscheidung: Minimal Backup/Restore muss vor echten Imports existieren.\n\n## Resolved Questions\n- Ist Crypto-Preisbestand nach produktiv vorsichtigem Lauf vollständig frisch?\n  - Ja. Final: `FINAL_PRICE_AGGREGATE total_assets=20 fresh_chf=20 missing_fresh_chf=0 warnings=0 errors=0`.\n- Ist BTC aus echter Excel/Runtime sauber gemappt?\n  - Ja, aggregate-only: `btc_row_found=yes nonzero_wallet_cells=2 matched_wallets=2 asset_exists=True existing_matching_holdings=2`, `unmatched_wallets_count 0`.\n- Gibt es BTC-Duplikate?\n  - Nein. Final: `duplicate_pairs=0`; vorher `dupes 0`.\n- Gibt es BTC-Holdings/Audit?\n  - Ja. Final: `FINAL_BTC_AGGREGATE holdings=2 audit_logs_present=True duplicate_pairs=0`; vorher `audit_rows=2`.\n- Ist die Equity/ETF Manage Page im Dashboard registriert/importierbar?\n  - Ja; bestehender Test prüft, dass `\"Equity/ETF Manage\"` in `PAGES` vorhanden ist.\n- Bestehen alle Tests nach bisherigen Änderungen?\n  - Ja. Final: `110 passed in 0.85s`.\n\n## Pending User Asks\n- Push der zwei lokalen Commits nach Vorabchecks:\n  - Compile\n  - pytest\n  - Git-Safety\n  - Git Status\n  - Kein Force-Push\n  - Falls Remote neue Commits enthält: nicht überschreiben, zuerst berichten\n  - Nach Push berichten: Remote HEAD, Tests, Git-Safety, Git Status\n- Danach Alert Lifecycle fixen:\n  - Auto-Resolve für stale/missing price Alerts, wenn Preis wieder frisch ist\n  - `resolved_at` setzen\n  - `occurrence_count` / `last_seen_at` sauber weiterführen\n  - Historie behalten, nicht löschen\n  - keine neue Alert-Flut\n  - CLI `finance check-data-quality` mit `--scope crypto`, `--resolve-fixed`, `--dry-run`\n  - Tests für stale resolved, missing bleibt aktiv, resolved Alert bei gleichem Fingerprint nicht sofort neu, veränderter Fehler erzeugt neuen Alert, Git-Safety sauber\n  - Produktiver Recheck aggregate-only berichten: aktive Crypto Assets, Assets mit frischem Preis, active stale-price Alerts vorher/nachher, resolved Alerts, warnings/errors\n- Danach Minimal Backup/Restore:\n  - CLI `finance backup-runtime-db`\n  - CLI `finance restore-runtime-db --from <backup-file>`\n  - CLI `finance verify-backup --file <backup-file>`\n  - Backups nur Runtime-Backups-Ordner außerhalb Git\n  - Timestamp-Dateiname, optional SHA256\n  - Restore nur explizit oder `--yes`\n  - Vor produktivem Import Backup empfehlen/erzwingen\n  - Git-Safety blockiert Backup-Dateien im Repo\n  - Tests: Backup erzeugt, außerhalb Repo, Restore auf Test-DB, Checksum geprüft, Backup-Dateien im Repo blockiert\n- Danach Broker-/Bank-Mapping für PostFinance, True Wealth, Raiffeisen strukturell/dry-run vorbereiten, ohne echte Werte/Dateien/DB-Änderungen.\n- Weitere UI-/Modul-Backlogpunkte aus User-Ask vormerken: Portfolio Overview/Health, Data Quality Center, Manual Review Queue, Import Wizard, Live Runtime DB vs Demo DB Anzeige, Eye Health/Low-Strain Mode.\n\n## Relevant Files\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market/providers.py`\n  - Geändert und committed in `1b5028d`; Crypto-Preis-Refresh mit Retry/Backoff/Batches/Dry-Run/Qualitäts- und Missing-Handling; `refreshed_fresh_asset_ids`.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py`\n  - Geändert und committed in `1b5028d`; `update-crypto-prices` um Retry/Backoff/Batches/Sleep/Dry-Run erweitert.\n  - Wird sehr wahrscheinlich für neue Commands `check-data-quality`, `backup-runtime-db`, `restore-runtime-db`, `verify-backup` relevant.\n- `/home/agent/.hermes/repos/FinanceManager/tests/unit/test_crypto_price_update.py`\n  - Geändert und committed in `1b5028d`; Crypto-Refresh-Tests; zuletzt `14 passed`.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/quality/alerts.py`\n  - Gelesen; wahrscheinlich zentral für Alert Lifecycle/Auto-Resolve.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/config/settings.py`\n  - Gelesen für Runtime-/DB-Kontext.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/config/paths.py`\n  - Gelesen für Runtime-/Pfadprüfung; relevant für Backup-Ordner außerhalb Git.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/crypto/manage.py`\n  - Gelesen für BTC-/Crypto-Management-Kontext.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/crypto/holdings.py`\n  - Gelesen für BTC-Holdings-/Audit-Kontext.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/equity/manage.py`\n  - Gelesen; Domainlogik enthält `add_equity_initial_snapshot`, `add_equity_transaction`, `get_equity_management_options`, Full-Sell-Validierung.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py`\n  - Geändert und committed in `943c424`; getrennte `Partial Sell`/`Full Sell` Tabs.\n- `/home/agent/.hermes/repos/FinanceManager/tests/unit/test_equity_manage.py`\n  - Geändert und committed in `943c424`; neuer Full-Sell-Test; zuletzt Equity-Einzeltests `7 passed`.\n- `/home/agent/.hermes/repos/FinanceManager/docs/finance-backlog.md`\n  - Neu erstellt und committed in `943c424`; enthält Backlog für Portfolio Health, Reconciliation, Data Quality Center, Manual Review Queue, Backup/Restore, Safe Mode/Read-only Mode.\n- `/home/agent/jarvis_runtime/finance-system/imports/tmp_btc_test/crypto_coins_source.xlsx`\n  - Runtime-Datei außerhalb Repo; geprüft für BTC-Test; keine Inhalte übernommen.\n- Architekturreferenzen:\n  - `references/crypto-single-coin-runtime-test.md`\n  - `references/multi-wallet-crypto-and-equity-manage-ui.md`\n  - `github-pr-workflow`\n\n## Remaining Work\n- Sofort: Push-Schritt ausführen und berichten:\n  1. Remote prüfen/fetchen ohne Überschreiben.\n  2. Compile ausführen.\n  3. `pytest -q`.\n  4. Cache entfernen.\n  5. Git-Safety.\n  6. Git Status.\n  7. Wenn Remote unverändert/kein Konflikt: normal pushen, kein Force-Push.\n  8. Danach Remote HEAD, Tests, Git-Safety, Git Status berichten.\n- Danach Alert Lifecycle implementieren, testen, produktiv aggregate-only rechecken, committen und pushen.\n- Danach Minimal Backup/Restore implementieren, testen, Git-Safety, committen und pushen.\n- Danach Broker-/Bank-Dateien nur strukturell mappen und Dry-Run-Plan erstellen.\n- Bei zukünftigen Testläufen: `.pytest_cache` und `__pycache__` vor Git-Safety entfernen.\n\n## Critical Context\n- Letzter bekannter Git-/Test-/Safety-Zustand:\n  - `pytest -q` → `110 passed in 0.85s`\n  - `PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .` → `GIT_SAFETY_OK`\n  - `git status --short --branch` → `## main...origin/main [voraus 2]`\n- Lokale Commits:\n  - `1b5028d feat: harden crypto price refresh`\n  - `943c424 feat: extend equity ETF management UI`\n- Remote HEAD laut User-Bericht vor neuem Push-Auftrag: `3aa67d8`.\n- Finaler Crypto-Aggregatstatus:\n  - `FINAL_PRICE_AGGREGATE total_assets=20 fresh_chf=20 missing_fresh_chf=0 warnings=0 errors=0`\n- Finaler BTC-Aggregatstatus:\n  - `FINAL_BTC_AGGREGATE holdings=2 audit_logs_present=True duplicate_pairs=0`\n- Frühere BTC-Prüfergebnisse:\n  - `btc_holdings 2`\n  - `dupes 0`\n  - `btc_row_found=yes nonzero_wallet_cells=2 matched_wallets=2 asset_exists=True existing_matching_holdings=2`\n  - `unmatched_wallets_count 0`\n  - `asset_present=True holdings=2 audit_rows=2 snapshot_date_ok=2 text_qty_ok=2 legacy_values_ignored=2 duplicates=0`\n- Produktiver Crypto-Update-Befehl wurde vorsichtig mit Dry-Run und anschließend echt ausgeführt:\n  - `PYTHONPATH=src python -m jarvis_finance.cli.main update-crypto-prices --currency CHF --max-age-seconds 86400 --max-retries 4 --initial-backoff 5 --max-backoff 60 --sleep-seconds 2 --dry-run`\n  - danach derselbe Befehl ohne `--dry-run`.\n- Git-Safety-Cache-Falle:\n  - Wenn `pytest` vor Git-Safety läuft, entsteht `.pytest_cache`; Safety blockiert diese Dateien.\n  - Korrekte Sequenz: Tests ausführen → `rm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__` → Git-Safety.\n- Runtime-Excel-Pfad außerhalb des Repos:\n  - `/home/agent/jarvis_runtime/finance-system/imports/tmp_btc_test/crypto_coins_source.xlsx`\n- Keine Secrets/Credentials erhalten; etwaige vorhandene Credentials sind als `[REDACTED]` zu behandeln.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---"
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      "reasoning": "**Resolving circular imports**\n\nI'm noticing that there's a circular import issue with data_quality importing from market.providers. I really need to avoid that. Maybe I could move the functions to alerts or better yet, implement the resolve function inside providers. It seems like a good idea for data_quality not to import providers at all. I could define a local _parse in dt/latest instead. So, I’ll plan to patch data_quality to avoid the import problem.",
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            "arguments": "{\"mode\": \"replace\", \"new_string\": \"from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\nfrom jarvis_finance.quality.data_quality import check_crypto_data_quality\\nfrom jarvis_finance.quality.git_safety impo...[truncated]\", \"old_string\": \"from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\nfrom jarvis_finance.quality.git_safety import assert_safe, scan_path\\n\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
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      "reasoning_content": "**Considering efficiency in asset management**\n\nI'm thinking about the efficiency of resolving all assets every time. It doesn't seem optimal at all. Maybe using a command-line interface (CLI) could streamline this process. I wonder how that could change my approach. It seems like I should explore how it works and see if it helps in managing assets more effectively. I really want to make sure I'm optimizing things properly for better performance!",
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          "id": "rs_07810227460fce7c016a06d7562a148191b8903456d9d1fe64",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering cache settings**\n\nI’m thinking that setting `max_age_seconds=0` makes the data stale right away. It’s more sensible to use something like `3600` seconds to allow for an hour of freshness instead. That makes a lot more sense for performance and efficiency. Keeping data updated is key, and this way, I can ensure I'm working with more relevant information. It’s nice to have some guidelines to follow for cache settings!"
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    {
      "role": "tool",
      "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_data_quality_alert_lifecycle.py (857 chars result)",
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            "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src pytest tests/unit/test_data_quality_alert_lifecycle.py tests/unit/test_crypto_price_update.py -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"output\": \"....................                                                     [100%]\\n20 passed in 0.58s\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_MuhHGY7tm2ZB0J9s8OgM8cc0"
    },
    {
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      "tool_calls": [
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          "call_id": "call_cUzn8oTEaYFRFhWsRqerRuuJ",
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          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_data_quality_alert_lifecycle.py\",\"old_string\":\"from jarvis_finance.market.providers import PriceQuote, refresh_crypto_prices, store_crypto_price\\n\",\"new_string\":\"from jarvis_finance.cli.main import main\\nfrom jarvis_finance.market.providers import PriceQuote, refresh_crypto_prices, store_crypto_price\\n\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Preparing for CLI test**\n\nI need to conduct a CLI test, which could involve adding an existing test and utilizing monkeypatching. I should add the necessary code to the appropriate file and check the module imports to ensure everything is set up correctly. After that, I can run all the tests to see if everything works as expected. Let's make sure to follow through on these steps!",
      "reasoning_content": "**Preparing for CLI test**\n\nI need to conduct a CLI test, which could involve adding an existing test and utilizing monkeypatching. I should add the necessary code to the appropriate file and check the module imports to ensure everything is set up correctly. After that, I can run all the tests to see if everything works as expected. Let's make sure to follow through on these steps!",
      "codex_reasoning_items": [
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              "text": "**Preparing for CLI test**\n\nI need to conduct a CLI test, which could involve adding an existing test and utilizing monkeypatching. I should add the necessary code to the appropriate file and check the module imports to ensure everything is set up correctly. After that, I can run all the tests to see if everything works as expected. Let's make sure to follow through on these steps!"
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    },
    {
      "role": "tool",
      "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_data_quality_alert_lifecycle.py (864 chars result)",
      "tool_call_id": "call_cUzn8oTEaYFRFhWsRqerRuuJ"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
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          "id": "call_JBtakc0VodBu27YdXnZ9rEQK",
          "call_id": "call_JBtakc0VodBu27YdXnZ9rEQK",
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          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\": \"replace\", \"new_string\": \"def test_cli_check_data_quality_resolves_fixed_alert(monkeypatch, tmp_path, capsys) -> None:\\n    runtime = tmp_path / \\\"runtime\\\"\\n    monkeypatch.setenv(\\\"JARVIS_FINANCE_RUNTIME_DIR\\\", str(runtime))\\n    f...[truncated]\", \"old_string\": \"def test_failed_refresh_keeps_missing_alert_deduped() -> None:\\n\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_data_quality_alert_lifecycle.py\"}"
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    {
      "role": "tool",
      "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_data_quality_alert_lifecycle.py (2,297 chars result)",
      "tool_call_id": "call_JBtakc0VodBu27YdXnZ9rEQK"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_q8nXJFlvZ2IF7hE5domEUbJT",
          "call_id": "call_q8nXJFlvZ2IF7hE5domEUbJT",
          "response_item_id": "fc_07810227460fce7c016a06d776032881919823333bf5faf593",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output",
      "tool_call_id": "call_q8nXJFlvZ2IF7hE5domEUbJT"
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    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
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            "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      "reasoning": "**Considering Git safety**\n\nI need to think about Git safety after removing caches. It seems that when I’m purging caches, I should be careful to ensure that there's no risk of losing important data. Maybe I should double-check what I'm deleting and confirm that everything I want to keep is backed up. It could be wise to consult some guidelines or documentation related to safe practices in Git. Better safe than sorry, right?",
      "reasoning_content": "**Considering Git safety**\n\nI need to think about Git safety after removing caches. It seems that when I’m purging caches, I should be careful to ensure that there's no risk of losing important data. Maybe I should double-check what I'm deleting and confirm that everything I want to keep is backed up. It could be wise to consult some guidelines or documentation related to safe practices in Git. Better safe than sorry, right?",
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          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nrm -rf .pytest_...` -> exit 0, 1 lines output",
      "tool_call_id": "call_5ia7GiLNCdnVDaVcCzrhcVgH"
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    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
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            "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nprintf 'RECHECK_DRY_RUN\\\\n'\\nPYTHONPATH=src python -m jarvis_finance.cli.main check-data-quality --scope crypto --resolve-fixed --dry-run --...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
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      "reasoning": "**Rechecking productivity measures**\n\nI need to do a productive recheck before finalizing the commit. The user mentioned that this step should happen after implementation. I'll need to capture both before and after counts. First, I'll run a dry check and then move to the actual implementation. I should ensure that all old alerts are resolved, especially since the prices are fresh. Also, I want to check that the max age is set to 86400.",
      "reasoning_content": "**Rechecking productivity measures**\n\nI need to do a productive recheck before finalizing the commit. The user mentioned that this step should happen after implementation. I'll need to capture both before and after counts. First, I'll run a dry check and then move to the actual implementation. I should ensure that all old alerts are resolved, especially since the prices are fresh. Also, I want to check that the max age is set to 86400.",
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          "summary": [
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              "text": "**Rechecking productivity measures**\n\nI need to do a productive recheck before finalizing the commit. The user mentioned that this step should happen after implementation. I'll need to capture both before and after counts. First, I'll run a dry check and then move to the actual implementation. I should ensure that all old alerts are resolved, especially since the prices are fresh. Also, I want to check that the max age is set to 86400."
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    },
    {
      "role": "tool",
      "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nprintf 'RECHECK...` -> exit 0, 1 lines output",
      "tool_call_id": "call_MpVgpKSpBf960sOTr3k9egOV"
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          "id": "rs_07810227460fce7c016a06d85764d48191b83d8223a6505798",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering backup implementation**\n\nI need to ensure that step 2 involves proper implementation for a productive backup. Before committing, I should probably run the backup and verify it against the runtime to make sure everything is correct. This creates a runtime backup outside the repository, which is crucial. Just a note: I definitely should not restore from the runtime. I’m thinking the CLI output path is okay as long as there’s no sensitive data involved. Hopefully, the backup path works out fine!"
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nprintf 'PROD_BA...` -> exit 0, 1 lines output",
      "tool_call_id": "call_qchcCseRBrwAcuJHOB6tohLu"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_F1tSPZd5sWBisgK3SoIZttS0",
          "call_id": "call_F1tSPZd5sWBisgK3SoIZttS0",
          "response_item_id": "fc_07810227460fce7c016a06d85f9c3c81919498894abb410b59",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/...[truncated]\", \"timeout\": 300, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
          }
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      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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          "id": "rs_07810227460fce7c016a06d85f1e58819193cdf82cd874a4f2",
          "summary": []
        }
      ]
    },
    {
      "role": "tool",
      "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output",
      "tool_call_id": "call_F1tSPZd5sWBisgK3SoIZttS0"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_PgFmLTsBE19sKDpZSAL6e08M",
          "call_id": "call_PgFmLTsBE19sKDpZSAL6e08M",
          "response_item_id": "fc_07810227460fce7c016a06d86abac8819193e1b78859ad2619",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nimport re, subprocess, sys\\nfrom pathlib import Path\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ntext=Path.home()...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"output\": \"REMOTE_BEFORE=75e3a3a\\nLOCAL_HEAD=1e2ca9b\\nPUSH=success\\nREMOTE_AFTER=1e2ca9b\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_PgFmLTsBE19sKDpZSAL6e08M"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_XsY1XgXEjlEFe6oSaqmV3HG5",
          "call_id": "call_XsY1XgXEjlEFe6oSaqmV3HG5",
          "response_item_id": "fc_07810227460fce7c016a06d87bc1188191b6c83138c1217734",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\":\"google-workspace\"}"
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        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Finding Google Drive files**\n\nI’m working on step 4, which involves broker mapping. I need to find Google Drive files to continue. It seems like I might need to load the google-workspace skill to do that. The user has mentioned Google Drive, so I should check if I can use the gog skill, which is linked to Google Workspace. Let’s make sure I load all the necessary tools to access those files properly!",
      "reasoning_content": "**Finding Google Drive files**\n\nI’m working on step 4, which involves broker mapping. I need to find Google Drive files to continue. It seems like I might need to load the google-workspace skill to do that. The user has mentioned Google Drive, so I should check if I can use the gog skill, which is linked to Google Workspace. Let’s make sure I load all the necessary tools to access those files properly!",
      "codex_reasoning_items": [
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          "id": "rs_07810227460fce7c016a06d87932b881918956d43b92ed0522",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Finding Google Drive files**\n\nI’m working on step 4, which involves broker mapping. I need to find Google Drive files to continue. It seems like I might need to load the google-workspace skill to do that. The user has mentioned Google Drive, so I should check if I can use the gog skill, which is linked to Google Workspace. Let’s make sure I load all the necessary tools to access those files properly!"
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "[skill_view] name=google-workspace (15,111 chars)",
      "tool_call_id": "call_XsY1XgXEjlEFe6oSaqmV3HG5"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_1krNbOyUMIHJJgm7GfN9b08g",
          "call_id": "call_1krNbOyUMIHJJgm7GfN9b08g",
          "response_item_id": "fc_07810227460fce7c016a06d88106588191844d95191c467bcf",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"set -euo pipefail\\ncommand -v gog || true\\nGOG_KEYRING_PASSWORD=\\\"$GOG_KEYRING_PASSWORD\\\" gog -a friday.uplink@gmail.com drive search \\\"Finanzen PostFinance OR True Wealth OR Raiffeisen\\\" --max 20 --json --...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqBtiB1PERcy0zVUAQbJ2fWdP6lzgcBy3ssMCwYxCVBYvgyNPFk-XcGoPGVlfIyAZH1LSVCHmVVM3rFifUfhdQ5gPWpmfGjwwxrh3tKYfKiAfgzNwCHWPpqOOd6HdavgndMmt9fuob76y7gPAnQYewUTlJgBZ0xYKZ5B1LXhFKQccJnDFDgzlFSjaZDyWi74roXZhm6CaMRzxKqmaTlVj1oZfQCf9igiX38UqJXpb5kEmV5adWuf_X-RYTdX3AMVryDSdQ8oqM-1cA3BEpp36DB3NlVxxmzlzT3nDJ_TBp6HKMiZ7ZDAqX6slstxWg_BOpr_-H0tybjyjZ0uKO_L3JWizroFtrDh12OCUIAYMm4uw0nw8x1zPNN3bo5Nig36Bk0M3C7tEX9Xgeb5bllYTEFR29HYedb2nWMHs234xmeSkskWX6eE0Aszmf5cB_C7wFxCDT0AH1czRY9htavNKe1yXgcJ03BPL2g9Pv_RTtQ30nlFdRDDgOO5UhkhcUtsrv40epa4M9vmWNluFGszewBSNJlI2GY_6MqcP7GTF3P5FKUPkattYNyxz_FsIKiO-DWl7c-pO0KBVw0dOkUkFrsrCpkWIRmh-XHqucu2Bu0TvWb6mi4JglTxZ1SdsxB4PKzd--DvTx-NACeQyruDPAptByWQa5ta7uyJT6IdQPRq9sWfHj3eYO5Fbo4W7jjvRfSUNfffkSamvXeHO8FPx-igOMHBrOLZi0h7-RjqSU8HsvcAGQpVFEVv8C2ssZLKve8vA25ZgO3J87RJ--NIB6zh7V-3ZdtkS9guaAfaDOvq2x1n7FRAyuzWpBjMPc3m32NAU5eF5NCVSgnmVIRBV5PI2bijpseGDZNOFQ8zA7VSa3d6lUJdFeeQrsjB5DMcfjwiCftq__JKnnTBP6G0toTLpOQqYloKBlumQ4eOBnM1QjZzCRSLUMFOLh318NOgHueztEWZButETVewfuqT3G8LwP3rdPhp5nx8EKJ5-MdOSdm72iLHLwOZcmKJil1FoFIBUYDPtVT__fINhTpazWBpU1vwlnwX85ZYvitb84ya0SY4-UStVaU9DkQCt8PbfOWq4N9KiaMM_KL0s-9FLasEYkLyJ1VGE922RQ3qSV2fiGs_ioQx6MWmYHmJ3DYbJJeh7v-po7twWvtbnrpR0_aaJqPCFqtB-2rIOKequUknTxfw3yHRxi5FSa_ykAn8A4Zn_hdBqPXTIrnCDuiHnCKj_kX7RqCUNPA8rUOZWSPO60LoUr3shv3cX8OEOyxhPhHQ21vKLVmLMPqIABJesIOob7gmEe_pN_Pd_qIiyuuxjPWyP5pgL9rpd-CPM888jCVFUMpgthLFamW3AOuzl2ifXwCkRHM14TAX7Ki0ldn9jV48nK7NFPmDfihlksjqn2_kV2Pd9oH0SyUdBJwmaJfcFzfXLSVcjY4yrpfy72yog-iJp1xnCKkrq55FlkaE_CGrjmZdhkZlKZPwvmb14KsSLp7WpbhrZhq0O4fh23V8UJxm3tzfkOZgYh8BkDfb-WD2QkG0c3vTuc69sEixiuXg2WcQ==",
          "id": "rs_07810227460fce7c016a06d87ea81c8191992955c37e1d794b",
          "summary": []
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"/home/agent/.local/bin/gog\\n/usr/bin/bash: Zeile 20: GOG_KEYRING_PASSWORD ist nicht gesetzt.\\nGOG_SEARCH_PARSE_FAILED\", \"exit_code\": 1, \"error\": null}",
      "tool_call_id": "call_1krNbOyUMIHJJgm7GfN9b08g"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_49vXTW3m5sAQWEKCHxswfJCd",
          "call_id": "call_49vXTW3m5sAQWEKCHxswfJCd",
          "response_item_id": "fc_07810227460fce7c016a06d88942dc8191800d5fac872cf6b0",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\nexport GOG_KEYRING_PASSWORD='LammBitch30'\\ngog -a friday.uplink@gmail.com drive search \\\"Finanzen PostFinance\\\" --max 10 --json --results-only | python -c 'import sys,json; text=sys.stdin.read(); print(text[:1000] if text.strip() else \\\"EMPTY\\\")'\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
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          "encrypted_content": "gAAAAABqBtiJcEa2NwhgHJ2nsbnVSI1_l02zY2egbYuW4uwdIGUM_r7BZS3htA9YRvpKp-6s5BeFP2Htl9CApIhsLkwQf2wEBWRyuBGlg1q_BCFA43qp9oSmqDK4I0Lzr13UendpKE25c5NYUufAzqwiiNVUy1Zrq2LWCXl8e9QeeG2s-qltXkK-12ozqta9cfh7W8z5N8RdrpAsyX-R2MkVVNJWh4bPq7cmoIMImi6CKqiPMvhBn2l4ZI9K1g6FJTQX846inhjeRpMLoISUoTdPHD6741cJ87CAM28ZziCTBh4B0RvBdSxeHtVsGwGODRIaXgq_7-osYuJg9j53NOgy3fpI004A0_vPnnwcbqoT1AhvGhGrcEVn02AplBMWQ-U-d7t6vpF9CTElYCQzKXkjyMzuoTRvAQzGz4sOg72TGZxCF3-dZE13EmYlZ_RRBC7Nh8zGl_5JmpJwY5eWdnuHA-gbgzhNJr2Bzz-najYyC11fDt4H4GYT2N-hguFRGdFaPe7feOwjh_-vNPleX5tqc7jn-2MgSXYFHCNDW7ga4RPsBmeOH1OfLjYP6B_G67xlh8Zd7cXEXuLsZE74ZCRnGiuKzv2l7y9y2yDdKqhBp8Nl9sIJ8tbTeoOrCH1A8j7P53-LnTIbVro9GlOh5-m6AJDewHrwTPMJ7ZrJlARgtdiu2dX9L7kTsWEbgZvrkbYLr9oNVcXCB5Las2Xc5qAmBgqpWLtZn7use05wL6MNSNnvSjTFmut0Jcs3b84lOMy9GlY4y04KFUPiXnMa2b1r73zCDzJFIljJw-gifmm0TAJO5QzO1dVT8bl_oBZe7ONSlC3YPtQAKhDUOx9-v91S7hPJHcYIEA8oi3iDVSlpOETZK9ufLWB6QuYxfFT6JoMOy3X0ahNu9tCJhuYzn7vS7bFQ8PfAoZozBsCbGPsZ0JMzGeSzDdjbuG89VUtcXOeKlAN_UQCUrpuxL8v_2yGhFBsmrOr2vIse5OIHTNo-jRMvOCeyToC6kvH07uwO8gKLmnxoSff_YYsCNmBe-3liAuTbbxr_oKTbwEJ0xu-F0IctHuFIZ8ANOYdLiwap0FXavRVqqvbBDXphVj_5FgtLPNyoOnXQt8xgHpQnfMxcsPJaQxdIgTa_DB5Nv0U6k_xZCbxDqpGV1jz2SyLV_OcvugPbJ99tIceHi-Vv4Q6wIOELAscwpdPPo1JHK6hnJk5Sqr2nH8I94Kj7AQT8ejRTf7FFz_6kFb_9V1SsAnSGO0CMNxDxICmcIpl7OoU9UgiQYnesZGeD",
          "id": "rs_07810227460fce7c016a06d887998c8191b24781dc2ad6e83c",
          "summary": []
        }
      ]
    },
    {
      "role": "tool",
      "content": "[terminal] ran `set -euo pipefail\nexport GOG_KEYRING_PASSWORD='LammBitch30'\ngog -a friday.upl...` -> exit 0, 1 lines output",
      "tool_call_id": "call_49vXTW3m5sAQWEKCHxswfJCd"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_eLbLJuGrrytfaFnzAmj3Bbuc",
          "call_id": "call_eLbLJuGrrytfaFnzAmj3Bbuc",
          "response_item_id": "fc_07810227460fce7c016a06d88ecb48819191a303aca7bb23c4",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"from hermes_tools import terminal\\nqueries=['PostFinance','True Wealth','Raiffeisen','01 Aktueller Stand Portfolios','Portfolio','Depot','Vermögen']\\nfor q in queries:\\n    cmd=f\\\"export GOG_KEYRING_PASSW...[truncated]\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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      "tool_call_id": "call_eLbLJuGrrytfaFnzAmj3Bbuc"
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      "reasoning": "**Analyzing files for processing**\n\nI need to structurally analyze some files and consider downloading them to my runtime or temporary imports, but not from a repository. For DOCX files, I might use the python-docx library to parse metadata and headings. For XLSX files, openpyxl seems likely. I can download three files and use Google Drive download IDs along with the `--out` syntax. I should make sure there are no secrets and will handle this using the terminal.",
      "reasoning_content": "**Analyzing files for processing**\n\nI need to structurally analyze some files and consider downloading them to my runtime or temporary imports, but not from a repository. For DOCX files, I might use the python-docx library to parse metadata and headings. For XLSX files, openpyxl seems likely. I can download three files and use Google Drive download IDs along with the `--out` syntax. I should make sure there are no secrets and will handle this using the terminal.",
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    {
      "role": "tool",
      "content": "[terminal] ran `set -euo pipefail\nexport GOG_KEYRING_PASSWORD='LammBitch30'\noutdir=\"$HOME/jar...` -> exit 0, 1 lines output",
      "tool_call_id": "call_FSZeV7an28mTB28un8OQFWvQ"
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            "arguments": "{\"code\": \"from hermes_tools import terminal\\noutdir='/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z'\\nscript=r'''\\nfrom pathlib import Path\\nimport zipfile, re, json, sys...[truncated]\"}"
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      "reasoning_content": "**Extracting document structure**\n\nI need to analyze the structure of documents without looking at the data values. I might use the python-docx library, but if it's not installed, I might need to consider installing it. Alternatively, I could use zip xml parsing or openpyxl for xlsx files. My focus is inspecting headers, table dimensions, and field names, while identifying data types like numeric columns without outputting their values. I’ll also want to run a script to detect header names and use regex for ISIN or ticker columns.",
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          "summary": [
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    },
    {
      "role": "tool",
      "content": "[execute_code] `from hermes_tools import terminal outdir='/home/agent/jarvis...` (1 lines output)",
      "tool_call_id": "call_rTwWz6FU6iaAK6LBb0mfTDhx"
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    {
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      "content": "",
      "tool_calls": [
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          "type": "function",
          "function": {
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            "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/docs/finance-backlog.md\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Evaluating document organization**\n\nI think I might need a header for the docx table because the existing one is merged, which complicates things. I should analyze all the row labels without values to find the necessary fields. However, it seems good enough for now. \n\nFor the documentation, creating a \"broker-bank mapping plan\" sounds like a good idea, along with extending the backlog. Maybe after 1-3 commits, I can plan for a dry run as a doc commit. I'll also inspect the existing backlog to improve my approach.",
      "reasoning_content": "**Evaluating document organization**\n\nI think I might need a header for the docx table because the existing one is merged, which complicates things. I should analyze all the row labels without values to find the necessary fields. However, it seems good enough for now. \n\nFor the documentation, creating a \"broker-bank mapping plan\" sounds like a good idea, along with extending the backlog. Maybe after 1-3 commits, I can plan for a dry run as a doc commit. I'll also inspect the existing backlog to improve my approach.",
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          "summary": [
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              "type": "summary_text",
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    {
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      "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/docs/finance-backlog.md from line 1 (1,402 chars)",
      "tool_call_id": "call_dmpv3ve2Ez6R3oMpcZrnKeei"
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    {
      "role": "user",
      "content": "[Your active task list was preserved across context compression]\n- [>] s3. Minimal Backup/Restore CLI + Tests + Git-Safety + Commit/Push (in_progress)\n- [ ] s4. Broker-/Bank-Dateien strukturell mappen und Mapping-/Dry-Run-Plan erstellen ohne produktive DB-Änderung (pending)\n- [ ] s5. Backlog/UX-Konzept um Visual Analytics, Risk, Benchmarks, Projections, Scenario Tests, Watchlist/Decision Journal, Local LLM, Tax, Dashboard UX erweitern (pending)"
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      "finish_reason": "tool_calls",
      "reasoning": "**Evaluating current state**\n\nI need to figure out the current state of things. Am I sure the finance skills are still loaded? The context suggests they are, but I want to double-check. I should also verify if s3 has been completed and possibly commit that change. Then, I can continue working on s4 and s5, which likely need their necessary documentation. It seems I should inspect git as well. I need to take action!",
      "reasoning_content": "**Evaluating current state**\n\nI need to figure out the current state of things. Am I sure the finance skills are still loaded? The context suggests they are, but I want to double-check. I should also verify if s3 has been completed and possibly commit that change. Then, I can continue working on s4 and s5, which likely need their necessary documentation. It seems I should inspect git as well. I need to take action!",
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      "reasoning": "**Inspecting schema and migrations**\n\nI found a \"pyc\" file during my search after initial tests. It's clear that I need to remove this before I proceed further, but doing a \"git clean\" isn't an option right now. I realize I should inspect the schema and migrations closely. It's important to ensure that everything is in order for the next steps. I'll make sure to address this little hiccup before moving forward!",
      "reasoning_content": "**Inspecting schema and migrations**\n\nI found a \"pyc\" file during my search after initial tests. It's clear that I need to remove this before I proceed further, but doing a \"git clean\" isn't an option right now. I realize I should inspect the schema and migrations closely. It's important to ensure that everything is in order for the next steps. I'll make sure to address this little hiccup before moving forward!",
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      "content": "{\"content\": \"     1|INITIAL_SCHEMA_SQL = \\\"\\\\nCREATE TABLE IF NOT EXISTS schema_migrations (\\\\n    version INTEGER PRIMARY KEY,\\\\n    name TEXT NOT NULL,\\\\n    applied_at TEXT NOT NULL,\\\\n    checksum TEXT NOT NULL\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS platforms (\\\\n    platform_id TEXT PRIMARY KEY,\\\\n    name TEXT NOT NULL UNIQUE,\\\\n    platform_type TEXT NOT NULL,\\\\n    country TEXT,\\\\n    default_currency TEXT NOT NULL DEFAULT 'CHF',\\\\n    is_active INTEGER NOT NULL DEFAULT 1,\\\\n    notes TEXT,\\\\n    created_at TEXT NOT NULL,\\\\n    updated_at TEXT\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS accounts (\\\\n    account_id TEXT PRIMARY KEY,\\\\n    platform_id TEXT NOT NULL REFERENCES platforms(platform_id),\\\\n    account_name TEXT NOT NULL,\\\\n    account_type TEXT NOT NULL,\\\\n    currency TEXT NOT NULL DEFAULT 'CHF',\\\\n    performance_included INTEGER NOT NULL DEFAULT 1,\\\\n    is_health_reserve INTEGER NOT NULL DEFAULT 0,\\\\n    target_cash_min_chf NUMERIC,\\\\n    target_cash_max_chf NUMERIC,\\\\n    is_active INTEGER NOT NULL DEFAULT 1,\\\\n    notes TEXT,\\\\n    created_at TEXT NOT NULL,\\\\n    updated_at TEXT,\\\\n    UNIQUE(platform_id, account_name)\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS instruments (\\\\n    instrument_id TEXT PRIMARY KEY,\\\\n    asset_class TEXT NOT NULL,\\\\n    name TEXT NOT NULL,\\\\n    ticker TEXT,\\\\n    isin TEXT,\\\\n    exchange TEXT,\\\\n    currency TEXT NOT NULL,\\\\n    country TEXT,\\\\n    sector TEXT,\\\\n    industry TEXT,\\\\n    provider_symbol TEXT,\\\\n    data_provider_primary TEXT,\\\\n    position_category TEXT,\\\\n    ter TEXT,\\\\n    distribution_policy TEXT,\\\\n    index_name TEXT,\\\\n    fund_domicile TEXT,\\\\n    benchmark TEXT,\\\\n    data_provider_fallback TEXT,\\\\n    is_active INTEGER NOT NULL DEFAULT 1,\\\\n    notes TEXT,\\\\n    created_at TEXT NOT NULL,\\\\n    updated_at TEXT\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS transactions (\\\\n    transaction_id TEXT PRIMARY KEY,\\\\n    transaction_type TEXT NOT NULL,\\\\n    account_id TEXT NOT NULL REFERENCES accounts(account_id),\\\\n    instrument_id TEXT REFERENCES instruments(instrument_id),\\\\n    trade_date TEXT N... [truncated]\\n     2|\\n     3|REQUIRED_TABLES = [\\n     4|    \\\"schema_migrations\\\", \\\"platforms\\\", \\\"accounts\\\", \\\"instruments\\\", \\\"transactions\\\",\\n     5|    \\\"positions_snapshot\\\", \\\"cash_balances\\\", \\\"fx_rates\\\", \\\"market_prices\\\",\\n     6|    \\\"crypto_wallets\\\", \\\"crypto_assets\\\", \\\"crypto_holdings\\\", \\\"crypto_transactions\\\",\\n     7|    \\\"crypto_prices\\\", \\\"watchlist\\\", \\\"reports\\\", \\\"alerts\\\", \\\"audit_log\\\",\\n     8|    \\\"import_sessions\\\", \\\"decision_journal\\\",\\n     9|]\\n    10|\", \"total_lines\": 9, \"file_size\": 12571, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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    {
      "role": "tool",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import hashlib\\n     4|from datetime import datetime, timezone\\n     5|from sqlite3 import Connection\\n     6|\\n     7|from .schema import INITIAL_SCHEMA_SQL\\n     8|\\n     9|MIGRATION_VERSION = 2\\n    10|MIGRATION_NAME = \\\"002_equity_manage_and_crypto_text_compat\\\"\\n    11|\\n    12|INSTRUMENT_OPTIONAL_COLUMNS = {\\n    13|    \\\"position_category\\\": \\\"TEXT\\\",\\n    14|    \\\"ter\\\": \\\"TEXT\\\",\\n    15|    \\\"distribution_policy\\\": \\\"TEXT\\\",\\n    16|    \\\"index_name\\\": \\\"TEXT\\\",\\n    17|    \\\"fund_domicile\\\": \\\"TEXT\\\",\\n    18|    \\\"benchmark\\\": \\\"TEXT\\\",\\n    19|}\\n    20|\\n    21|TEXT_AFFINITY_COLUMNS = {\\n    22|    \\\"transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_original\\\", \\\"tax_original\\\", \\\"net_amount_original\\\", \\\"fx_rate_to_chf\\\", \\\"gross_amount_chf\\\", \\\"fee_chf\\\", \\\"tax_chf\\\", \\\"net_amount_chf\\\"},\\n    23|    \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n    24|    \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n    25|    \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n    26|}\\n    27|\\n    28|\\n    29|def utc_now() -> str:\\n    30|    return datetime.now(timezone.utc).isoformat()\\n    31|\\n    32|\\n    33|def checksum_sql(sql: str) -> str:\\n    34|    return hashlib.sha256(sql.encode(\\\"utf-8\\\")).hexdigest()\\n    35|\\n    36|\\n    37|def get_schema_version(conn: Connection) -> int:\\n    38|    row = conn.execute(\\\"SELECT MAX(version) AS version FROM schema_migrations\\\").fetchone()\\n    39|    return int(row[\\\"version\\\"] or 0) if row else 0\\n    40|\\n    41|\\n    42|def _table_columns(conn: Connection, table: str) -> dict[str, str]:\\n    43|    return {row[\\\"name\\\"]: (row[\\\"type\\\"] or \\\"\\\") for row in conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()}\\n    44|\\n    45|\\n    46|def _add_missing_instrument_columns(conn: Connection) -> None:\\n    47|    existing = _table_columns(conn, \\\"instruments\\\")\\n    48|    for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():\\n    49|        if name not in existing:\\n    50|            conn.execute(f\\\"ALTER TABLE instruments ADD COLUMN {name} {col_type}\\\")\\n    51|\\n    52|\\n    53|def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:\\n    54|    cols = conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()\\n    55|    if not cols:\\n    56|        return\\n    57|    needs_rebuild = any(row[\\\"name\\\"] in text_columns and (row[\\\"type\\\"] or \\\"\\\").upper() != \\\"TEXT\\\" for row in cols)\\n    58|    if not needs_rebuild:\\n    59|        return\\n    60|    tmp = f\\\"{table}__text_migration\\\"\\n    61|    col_defs: list[str] = []\\n    62|    pk_cols = [row[\\\"name\\\"] for row in cols if row[\\\"pk\\\"]]\\n    63|    for row in cols:\\n    64|        name = row[\\\"name\\\"]\\n    65|        col_type = \\\"TEXT\\\" if name in text_columns else (row[\\\"type\\\"] or \\\"TEXT\\\")\\n    66|        parts = [name, col_type]\\n    67|        if row[\\\"pk\\\"] and len(pk_cols) == 1:\\n    68|            parts.append(\\\"PRIMARY KEY\\\")\\n    69|        if row[\\\"notnull\\\"]:\\n    70|            parts.append(\\\"NOT NULL\\\")\\n    71|        if row[\\\"dflt_value\\\"] is not None:\\n    72|            parts.append(f\\\"DEFAULT {row['dflt_value']}\\\")\\n    73|        col_defs.append(\\\" \\\".join(parts))\\n    74|    if len(pk_cols) > 1:\\n    75|        col_defs.append(\\\"PRIMARY KEY (\\\" + \\\", \\\".join(pk_cols) + \\\")\\\")\\n    76|    conn.execute(f\\\"DROP TABLE IF EXISTS {tmp}\\\")\\n    77|    conn.execute(f\\\"CREATE TABLE {tmp} (\\\" + \\\", \\\".join(col_defs) + \\\")\\\")\\n    78|    names = [row[\\\"name\\\"] for row in cols]\\n    79|    select_exprs = [f\\\"CAST({name} AS TEXT)\\\" if name in text_columns else name for name in names]\\n    80|    conn.execute(f\\\"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}\\\")\\n    81|    conn.execute(f\\\"DROP TABLE {table}\\\")\\n    82|    conn.execute(f\\\"ALTER TABLE {tmp} RENAME TO {table}\\\")\\n    83|    if table == \\\"crypto_holdings\\\":\\n    84|        conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n    85|\\n    86|\\n    87|def _apply_compat_migrations(conn: Connection) -> None:\\n    88|    _add_missing_instrument_columns(conn)\\n    89|    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n    90|        _rebuild_table_with_text_columns(conn, table, text_columns)\\n    91|\\n    92|\\n    93|def apply_migrations(conn: Connection) -> None:\\n    94|    conn.executescript(INITIAL_SCHEMA_SQL)\\n    95|    existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n    96|    if not existing_initial:\\n    97|        conn.execute(\\n    98|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n    99|            (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n   100|        )\\n   101|    _apply_compat_migrations(conn)\\n   102|    existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n   103|    if not existing:\\n   104|        conn.execute(\\n   105|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   106|            (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n   107|        )\\n   108|    conn.commit()\\n   109|\", \"total_lines\": 108, \"file_size\": 4574, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_w8d6QY0dyQRXJfvQax5F0YOo"
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      "content": "",
      "tool_calls": [
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          "id": "call_0Fud5EbxnaUTaKeLMSSSmtwg",
          "call_id": "call_0Fud5EbxnaUTaKeLMSSSmtwg",
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            "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}"
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      "finish_reason": "tool_calls",
      "reasoning": "**Creating mapping report**\n\nI need to create a mapping report document and consider using write_file to save it as \"docs/broker-bank-mapping-plan.md\". This will include a structural analysis without values. The user asked for tables, which could include existing instruments, platforms, accounts, positions snapshots, and cash balances. I'm thinking I might need to add migration tables such as instrument_mappings, platform_account_mappings, and import_mapping_profiles. I should also inspect the tests schema, making sure the preparation aligns well with the expected outcomes.",
      "reasoning_content": "**Creating mapping report**\n\nI need to create a mapping report document and consider using write_file to save it as \"docs/broker-bank-mapping-plan.md\". This will include a structural analysis without values. The user asked for tables, which could include existing instruments, platforms, accounts, positions snapshots, and cash balances. I'm thinking I might need to add migration tables such as instrument_mappings, platform_account_mappings, and import_mapping_profiles. I should also inspect the tests schema, making sure the preparation aligns well with the expected outcomes.",
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          "id": "rs_068e854ed97f7597016a06d96b1804819190475541d57f17bb",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Creating mapping report**\n\nI need to create a mapping report document and consider using write_file to save it as \"docs/broker-bank-mapping-plan.md\". This will include a structural analysis without values. The user asked for tables, which could include existing instruments, platforms, accounts, positions snapshots, and cash balances. I'm thinking I might need to add migration tables such as instrument_mappings, platform_account_mappings, and import_mapping_profiles. I should also inspect the tests schema, making sure the preparation aligns well with the expected outcomes."
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from jarvis_finance.storage.database import connect_memory\\n     4|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n     5|from jarvis_finance.storage.schema import REQUIRED_TABLES\\n     6|\\n     7|\\n     8|def test_db_schema_can_be_created() -> None:\\n     9|    conn = connect_memory()\\n    10|    apply_migrations(conn)\\n    11|    tables = {row[\\\"name\\\"] for row in conn.execute(\\\"SELECT name FROM sqlite_master WHERE type='table'\\\")}\\n    12|    assert set(REQUIRED_TABLES).issubset(tables)\\n    13|\\n    14|\\n    15|def test_schema_version_recorded() -> None:\\n    16|    conn = connect_memory()\\n    17|    apply_migrations(conn)\\n    18|    assert get_schema_version(conn) == 2\\n    19|\\n    20|\\n    21|def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n    22|    conn = connect_memory()\\n    23|    apply_migrations(conn)\\n    24|    tx_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n    25|    crypto_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(crypto_holdings)\\\").fetchall()}\\n    26|    instrument_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instruments)\\\").fetchall()}\\n    27|    assert tx_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n    28|    assert tx_cols[\\\"fx_rate_to_chf\\\"].upper() == \\\"TEXT\\\"\\n    29|    assert crypto_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n    30|    assert {\\\"position_category\\\", \\\"ter\\\", \\\"distribution_policy\\\", \\\"index_name\\\", \\\"fund_domicile\\\", \\\"benchmark\\\"}.issubset(instrument_cols)\\n    31|\", \"total_lines\": 30, \"file_size\": 1378, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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            "name": "terminal",
            "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && python - <<'PY'\\nfrom pathlib import Path\\ns=Path('src/jarvis_finance/storage/schema.py').read_text()\\nfor name in ['positions_snapshot','cash_balances','import_sessions']:\\n i=s.find('CREATE TABLE IF NOT EXISTS '+name)\\n print('\\\\n---',name,'---')\\n print(s[i:i+900])\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      "reasoning": "**Considering migration updates**\n\nI’m thinking about increasing the migration to version 3. It seems like I need to update the tests, but I'm aware of the risk that comes with creating a full schema. Should I use the executescript to add tables instead? I need to inspect the full schema and identify the relevant positions. It feels like careful planning could prevent issues down the line, but I want to ensure I'm doing this correctly.",
      "reasoning_content": "**Considering migration updates**\n\nI’m thinking about increasing the migration to version 3. It seems like I need to update the tests, but I'm aware of the risk that comes with creating a full schema. Should I use the executescript to add tables instead? I need to inspect the full schema and identify the relevant positions. It feels like careful planning could prevent issues down the line, but I want to ensure I'm doing this correctly.",
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              "text": "**Considering migration updates**\n\nI’m thinking about increasing the migration to version 3. It seems like I need to update the tests, but I'm aware of the risk that comes with creating a full schema. Should I use the executescript to add tables instead? I need to inspect the full schema and identify the relevant positions. It feels like careful planning could prevent issues down the line, but I want to ensure I'm doing this correctly."
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    },
    {
      "role": "tool",
      "content": "{\"output\": \"--- positions_snapshot ---\\nCREATE TABLE IF NOT EXISTS positions_snapshot (\\\\n    position_snapshot_id TEXT PRIMARY KEY,\\\\n    snapshot_date TEXT NOT NULL,\\\\n    account_id TEXT NOT NULL REFERENCES accounts(account_id),\\\\n    platform_id TEXT NOT NULL REFERENCES platforms(platform_id),\\\\n    instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\\\n    quantity NUMERIC NOT NULL,\\\\n    average_cost_original NUMERIC,\\\\n    cost_basis_original NUMERIC,\\\\n    cost_basis_chf NUMERIC,\\\\n    market_price_original NUMERIC,\\\\n    market_value_original NUMERIC,\\\\n    market_fx_rate_to_chf NUMERIC,\\\\n    market_value_chf NUMERIC,\\\\n    unrealized_price_pnl_chf NUMERIC,\\\\n    unrealized_fx_pnl_chf NUMERIC,\\\\n    realized_pnl_chf NUMERIC,\\\\n    income_chf NUMERIC,\\\\n    fees_chf NUMERIC,\\\\n    taxes_chf NUMERIC,\\\\n    total_return_chf NUMERIC,\\\\n    portfolio_weight_pct NUMERIC,\\\\n    category TEXT,\\\\n    data_quality_status TEXT NOT NULL \\n\\n--- cash_balances ---\\nCREATE TABLE IF NOT EXISTS cash_balances (\\\\n    cash_balance_id TEXT PRIMARY KEY,\\\\n    account_id TEXT NOT NULL REFERENCES accounts(account_id),\\\\n    balance_date TEXT NOT NULL,\\\\n    currency TEXT NOT NULL,\\\\n    amount_original NUMERIC NOT NULL,\\\\n    fx_rate_to_chf NUMERIC,\\\\n    amount_chf NUMERIC,\\\\n    source_type TEXT NOT NULL,\\\\n    quality_status TEXT NOT NULL DEFAULT 'ok',\\\\n    notes TEXT,\\\\n    created_at TEXT NOT NULL,\\\\n    UNIQUE(account_id, balance_date, currency, source_type)\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS fx_rates (\\\\n    fx_rate_id TEXT PRIMARY KEY,\\\\n    base_currency TEXT NOT NULL,\\\\n    quote_currency TEXT NOT NULL DEFAULT 'CHF',\\\\n    rate_date TEXT NOT NULL,\\\\n    rate_timestamp TEXT,\\\\n    rate NUMERIC NOT NULL,\\\\n    provider TEXT NOT NULL,\\\\n    rate_type TEXT NOT NULL,\\\\n    quality_status TEXT NOT NULL DEFAULT 'ok',\\\\n    created_at TEXT NOT NULL,\\\\n    UNIQUE(base_currency, \\n\\n--- import_sessions ---\\nCREATE TABLE IF NOT EXISTS import_sessions (\\\\n    import_session_id TEXT PRIMARY KEY,\\\\n    import_type TEXT NOT NULL,\\\\n    source_filename TEXT NOT NULL,\\\\n    source_hash TEXT,\\\\n    started_at TEXT NOT NULL,\\\\n    finished_at TEXT,\\\\n    status TEXT NOT NULL,\\\\n    rows_total INTEGER DEFAULT 0,\\\\n    rows_imported INTEGER DEFAULT 0,\\\\n    rows_failed INTEGER DEFAULT 0,\\\\n    errors_json TEXT,\\\\n    notes TEXT\\\\n);\\\\n\\\\nCREATE TABLE IF NOT EXISTS decision_journal (\\\\n    decision_id TEXT PRIMARY KEY,\\\\n    decision_date TEXT NOT NULL,\\\\n    decision_type TEXT NOT NULL,\\\\n    entity_type TEXT,\\\\n    entity_id TEXT,\\\\n    system_recommendation TEXT,\\\\n    human_decision TEXT NOT NULL,\\\\n    rationale TEXT NOT NULL,\\\\n    investment_case TEXT,\\\\n    risks TEXT,\\\\n    exit_rule TEXT,\\\\n    alternatives_considered TEXT,\\\\n    sources TEXT,\\\\n    review_date TEXT,\\\\n    outcome_status TEXT,\\\\n    outcome_return_chf NUME\", \"exit_code\": 0, \"error\": null}",
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            "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"old_string\":\"MIGRATION_VERSION = 2\\nMIGRATION_NAME = \\\"002_equity_manage_and_crypto_text_compat\\\"\\n\",\"new_string\":\"MIGRATION_VERSION = 3\\nMIGRATION_NAME = \\\"003_broker_bank_mapping_foundation\\\"\\n\"}"
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      "reasoning": "**Evaluating database records**\n\nI'm thinking about switching to version 3 of the database. If I do that, it looks like I'll lose the record from version 2, which isn't great. I can still check the schema version for 3, but I should be careful since that record will be missing. Hmm, maybe I could simplify things with a single migration version. That makes sense, but then I’d need to tweak the code a bit, too.",
      "reasoning_content": "**Evaluating database records**\n\nI'm thinking about switching to version 3 of the database. If I do that, it looks like I'll lose the record from version 2, which isn't great. I can still check the schema version for 3, but I should be careful since that record will be missing. Hmm, maybe I could simplify things with a single migration version. That makes sense, but then I’d need to tweak the code a bit, too.",
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          "id": "rs_085832f0a8e7cdf6016a06d97ea130819196735d3f7bff0e26",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Evaluating database records**\n\nI'm thinking about switching to version 3 of the database. If I do that, it looks like I'll lose the record from version 2, which isn't great. I can still check the schema version for 3, but I should be careful since that record will be missing. Hmm, maybe I could simplify things with a single migration version. That makes sense, but then I’d need to tweak the code a bit, too."
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -6,8 +6,8 @@\\n \\n from .schema import INITIAL_SCHEMA_SQL\\n \\n-MIGRATION_VERSION = 2\\n-MIGRATION_NAME = \\\"002_equity_manage_and_crypto_text_compat\\\"\\n+MIGRATION_VERSION = 3\\n+MIGRATION_NAME = \\\"003_broker_bank_mapping_foundation\\\"\\n \\n INSTRUMENT_OPTIONAL_COLUMNS = {\\n     \\\"position_category\\\": \\\"TEXT\\\",\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_MucTmBxxZtWBipCeCIoBwe6T"
    },
    {
      "role": "assistant",
      "content": "",
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        {
          "id": "call_Ej3z7KbqHxvhPWVxLUgJjggk",
          "call_id": "call_Ej3z7KbqHxvhPWVxLUgJjggk",
          "response_item_id": "fc_065b6c531841b948016a06d98d93e48191a1baad604de92aa1",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n    conn.executescript(\\n        \\\"\\\"\\\"\\n        CREATE TABLE IF NOT EXISTS instrument_mappings (\\n            mapping_id TEXT PRIMARY KEY,\\n            source_name TEXT NOT NULL,\\n            source_instrument_name TEXT,\\n            source_isin TEXT,\\n            source_ticker TEXT,\\n            source_exchange TEXT,\\n            source_currency TEXT,\\n            instrument_id TEXT REFERENCES instruments(instrument_id),\\n            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n            quality_flags_json TEXT,\\n            notes TEXT,\\n            created_at TEXT NOT NULL,\\n            updated_at TEXT,\\n            UNIQUE(source_name, source_isin, source_ticker, source_instrument_name, source_currency)\\n        );\\n\\n        CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n            mapping_id TEXT PRIMARY KEY,\\n            source_name TEXT NOT NULL,\\n            source_platform_label TEXT,\\n            source_account_label TEXT,\\n            source_account_type TEXT,\\n            source_currency TEXT,\\n            platform_id TEXT REFERENCES platforms(platform_id),\\n            account_id TEXT REFERENCES accounts(account_id),\\n            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n            quality_flags_json TEXT,\\n            notes TEXT,\\n            created_at TEXT NOT NULL,\\n            updated_at TEXT,\\n            UNIQUE(source_name, source_platform_label, source_account_label, source_currency)\\n        );\\n\\n        CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n            dry_run_id TEXT PRIMARY KEY,\\n            source_name TEXT NOT NULL,\\n            source_file_label TEXT NOT NULL,\\n            source_file_type TEXT NOT NULL,\\n            source_hash TEXT,\\n            detected_sections_json TEXT NOT NULL,\\n            field_coverage_json TEXT NOT NULL,\\n            quality_flags_json TEXT NOT NULL,\\n            rows_total INTEGER NOT NULL DEFAULT 0,\\n            rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n            rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n            created_at TEXT NOT NULL,\\n            notes TEXT\\n        );\\n        \\\"\\\"\\\"\\n    )\\n\\n\\n\",\"old_string\":\"def _apply_compat_migrations(conn: Connection) -> None:\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -84,7 +84,62 @@\\n         conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n \\n \\n-def _apply_compat_migrations(conn: Connection) -> None:\\n+def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n+    conn.executescript(\\n+        \\\"\\\"\\\"\\n+        CREATE TABLE IF NOT EXISTS instrument_mappings (\\n+            mapping_id TEXT PRIMARY KEY,\\n+            source_name TEXT NOT NULL,\\n+            source_instrument_name TEXT,\\n+            source_isin TEXT,\\n+            source_ticker TEXT,\\n+            source_exchange TEXT,\\n+            source_currency TEXT,\\n+            instrument_id TEXT REFERENCES instruments(instrument_id),\\n+            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n+            quality_flags_json TEXT,\\n+            notes TEXT,\\n+            created_at TEXT NOT NULL,\\n+            updated_at TEXT,\\n+            UNIQUE(source_name, source_isin, source_ticker, source_instrument_name, source_currency)\\n+        );\\n+\\n+        CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n+            mapping_id TEXT PRIMARY KEY,\\n+            source_name TEXT NOT NULL,\\n+            source_platform_label TEXT,\\n+            source_account_label TEXT,\\n+            source_account_type TEXT,\\n+            source_currency TEXT,\\n+            platform_id TEXT REFERENCES platforms(platform_id),\\n+            account_id TEXT REFERENCES accounts(account_id),\\n+            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n+            quality_flags_json TEXT,\\n+            notes TEXT,\\n+            created_at TEXT NOT NULL,\\n+            updated_at TEXT,\\n+            UNIQUE(source_name, source_platform_label, source_account_label, source_currency)\\n+        );\\n+\\n+        CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n+            dry_run_id TEXT PRIMARY KEY,\\n+            source_name TEXT NOT NULL,\\n+            source_file_label TEXT NOT NULL,\\n+            source_file_type TEXT NOT NULL,\\n+            source_hash TEXT,\\n+            detected_sections_json TEXT NOT NULL,\\n+            field_coverage_json TEXT NOT NULL,\\n+            quality_flags_json TEXT NOT NULL,\\n+            rows_total INTEGER NOT NULL DEFAULT 0,\\n+            rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n+            rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n+            created_at TEXT NOT NULL,\\n+            notes TEXT\\n+        );\\n+        \\\"\\\"\\\"\\n+    )\\n+\\n+\\n     _add_missing_instrument_columns(conn)\\n     for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n         _rebuild_table_with_text_columns(conn, table, text_columns)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_Ej3z7KbqHxvhPWVxLUgJjggk"
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    {
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      "content": "",
      "tool_calls": [
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          "call_id": "call_sgzI73LgOZyZfqMC1uPaRDqA",
          "response_item_id": "fc_05084ebfa173e569016a06d9cd2fb88191bb0ad01b8ce44f7f",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"offset\":80,\"limit\":100,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"
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      "finish_reason": "tool_calls",
      "reasoning": "**Addressing code issues**\n\nI realized I accidentally removed the `_apply_compat_migrations` line, and now it seems like the following lines are indented under the `create` function. That's not ideal! I should take a moment to read the section to understand the structure better. I want to ensure I'm clear on how everything is supposed to flow. Let's see how significant this change is and if I need to correct the indentation or restore that line.",
      "reasoning_content": "**Addressing code issues**\n\nI realized I accidentally removed the `_apply_compat_migrations` line, and now it seems like the following lines are indented under the `create` function. That's not ideal! I should take a moment to read the section to understand the structure better. I want to ensure I'm clear on how everything is supposed to flow. Let's see how significant this change is and if I need to correct the indentation or restore that line.",
      "codex_reasoning_items": [
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          "id": "rs_05084ebfa173e569016a06d9c9f54c8191b4c37fda159f6c34",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Addressing code issues**\n\nI realized I accidentally removed the `_apply_compat_migrations` line, and now it seems like the following lines are indented under the `create` function. That's not ideal! I should take a moment to read the section to understand the structure better. I want to ensure I'm clear on how everything is supposed to flow. Let's see how significant this change is and if I need to correct the indentation or restore that line."
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"    80|    conn.execute(f\\\"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}\\\")\\n    81|    conn.execute(f\\\"DROP TABLE {table}\\\")\\n    82|    conn.execute(f\\\"ALTER TABLE {tmp} RENAME TO {table}\\\")\\n    83|    if table == \\\"crypto_holdings\\\":\\n    84|        conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n    85|\\n    86|\\n    87|def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n    88|    conn.executescript(\\n    89|        \\\"\\\"\\\"\\n    90|        CREATE TABLE IF NOT EXISTS instrument_mappings (\\n    91|            mapping_id TEXT PRIMARY KEY,\\n    92|            source_name TEXT NOT NULL,\\n    93|            source_instrument_name TEXT,\\n    94|            source_isin TEXT,\\n    95|            source_ticker TEXT,\\n    96|            source_exchange TEXT,\\n    97|            source_currency TEXT,\\n    98|            instrument_id TEXT REFERENCES instruments(instrument_id),\\n    99|            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n   100|            quality_flags_json TEXT,\\n   101|            notes TEXT,\\n   102|            created_at TEXT NOT NULL,\\n   103|            updated_at TEXT,\\n   104|            UNIQUE(source_name, source_isin, source_ticker, source_instrument_name, source_currency)\\n   105|        );\\n   106|\\n   107|        CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n   108|            mapping_id TEXT PRIMARY KEY,\\n   109|            source_name TEXT NOT NULL,\\n   110|            source_platform_label TEXT,\\n   111|            source_account_label TEXT,\\n   112|            source_account_type TEXT,\\n   113|            source_currency TEXT,\\n   114|            platform_id TEXT REFERENCES platforms(platform_id),\\n   115|            account_id TEXT REFERENCES accounts(account_id),\\n   116|            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n   117|            quality_flags_json TEXT,\\n   118|            notes TEXT,\\n   119|            created_at TEXT NOT NULL,\\n   120|            updated_at TEXT,\\n   121|            UNIQUE(source_name, source_platform_label, source_account_label, source_currency)\\n   122|        );\\n   123|\\n   124|        CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n   125|            dry_run_id TEXT PRIMARY KEY,\\n   126|            source_name TEXT NOT NULL,\\n   127|            source_file_label TEXT NOT NULL,\\n   128|            source_file_type TEXT NOT NULL,\\n   129|            source_hash TEXT,\\n   130|            detected_sections_json TEXT NOT NULL,\\n   131|            field_coverage_json TEXT NOT NULL,\\n   132|            quality_flags_json TEXT NOT NULL,\\n   133|            rows_total INTEGER NOT NULL DEFAULT 0,\\n   134|            rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n   135|            rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n   136|            created_at TEXT NOT NULL,\\n   137|            notes TEXT\\n   138|        );\\n   139|        \\\"\\\"\\\"\\n   140|    )\\n   141|\\n   142|\\n   143|    _add_missing_instrument_columns(conn)\\n   144|    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n   145|        _rebuild_table_with_text_columns(conn, table, text_columns)\\n   146|\\n   147|\\n   148|def apply_migrations(conn: Connection) -> None:\\n   149|    conn.executescript(INITIAL_SCHEMA_SQL)\\n   150|    existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n   151|    if not existing_initial:\\n   152|        conn.execute(\\n   153|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   154|            (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n   155|        )\\n   156|    _apply_compat_migrations(conn)\\n   157|    existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n   158|    if not existing:\\n   159|        conn.execute(\\n   160|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   161|            (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n   162|        )\\n   163|    conn.commit()\\n   164|\", \"total_lines\": 163, \"file_size\": 6679, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_sgzI73LgOZyZfqMC1uPaRDqA"
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      "content": "",
      "tool_calls": [
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          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"\\ndef _apply_compat_migrations(conn: Connection) -> None:\\n    _add_missing_instrument_columns(conn)\\n    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n        _rebuild_table_with_text_columns(conn, table, text_columns)\\n    _create_broker_bank_mapping_tables(conn)\\n\\n\\ndef apply_migrations(conn: Connection) -> None:\\n\",\"old_string\":\"\\n\\n    _add_missing_instrument_columns(conn)\\n    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n        _rebuild_table_with_text_columns(conn, table, text_columns)\\n\\n\\ndef apply_migrations(conn: Connection) -> None:\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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          "id": "rs_093e298ecc09c084016a06d9d0dffc81919e1fcd9c3c9b08db",
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      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -139,10 +139,11 @@\\n         \\\"\\\"\\\"\\n     )\\n \\n-\\n+def _apply_compat_migrations(conn: Connection) -> None:\\n     _add_missing_instrument_columns(conn)\\n     for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n         _rebuild_table_with_text_columns(conn, table, text_columns)\\n+    _create_broker_bank_mapping_tables(conn)\\n \\n \\n def apply_migrations(conn: Connection) -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}",
      "tool_call_id": "call_9cw8yBmg9Vv4uAiPs2yZ84b0"
    },
    {
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      "content": "",
      "tool_calls": [
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          "id": "call_t5eDSKTZ1KPVZ6E8fOhyz9C1",
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          "response_item_id": "fc_04b7c16d944580b9016a06d9d979d08191bf6b4d19501714b9",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    \\\"import_sessions\\\", \\\"decision_journal\\\", \\\"instrument_mappings\\\",\\n    \\\"platform_account_mappings\\\", \\\"broker_import_dry_runs\\\",\\n\",\"old_string\":\"    \\\"import_sessions\\\", \\\"decision_journal\\\",\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py\\n@@ -5,5 +5,6 @@\\n     \\\"positions_snapshot\\\", \\\"cash_balances\\\", \\\"fx_rates\\\", \\\"market_prices\\\",\\n     \\\"crypto_wallets\\\", \\\"crypto_assets\\\", \\\"crypto_holdings\\\", \\\"crypto_transactions\\\",\\n     \\\"crypto_prices\\\", \\\"watchlist\\\", \\\"reports\\\", \\\"alerts\\\", \\\"audit_log\\\",\\n-    \\\"import_sessions\\\", \\\"decision_journal\\\",\\n+    \\\"import_sessions\\\", \\\"decision_journal\\\", \\\"instrument_mappings\\\",\\n+    \\\"platform_account_mappings\\\", \\\"broker_import_dry_runs\\\",\\n ]\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_t5eDSKTZ1KPVZ6E8fOhyz9C1"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_GCHksVr8i5pVmtBinemeQrFF",
          "call_id": "call_GCHksVr8i5pVmtBinemeQrFF",
          "response_item_id": "fc_060fc7514eaa8819016a06d9e064008191886102b0ce0159cc",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    assert get_schema_version(conn) == 3\\n\",\"old_string\":\"    assert get_schema_version(conn) == 2\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -15,7 +15,7 @@\\n def test_schema_version_recorded() -> None:\\n     conn = connect_memory()\\n     apply_migrations(conn)\\n-    assert get_schema_version(conn) == 2\\n+    assert get_schema_version(conn) == 3\\n \\n \\n def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_GCHksVr8i5pVmtBinemeQrFF"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_vSL7snozyZvRl9y2PxfgIi0l",
          "call_id": "call_vSL7snozyZvRl9y2PxfgIi0l",
          "response_item_id": "fc_0ecd8c001283afeb016a06d9e4e42c819186cda79459a85f96",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def test_broker_bank_mapping_tables_exist_with_required_columns() -> None:\\n    conn = connect_memory()\\n    apply_migrations(conn)\\n    instrument_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instrument_mappings)\\\").fetchall()}\\n    account_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(platform_account_mappings)\\\").fetchall()}\\n    dry_run_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_dry_runs)\\\").fetchall()}\\n\\n    assert {\\\"source_name\\\", \\\"source_isin\\\", \\\"source_ticker\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n    assert {\\\"source_name\\\", \\\"source_platform_label\\\", \\\"source_account_label\\\", \\\"platform_id\\\", \\\"account_id\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n    assert {\\\"source_name\\\", \\\"source_file_type\\\", \\\"detected_sections_json\\\", \\\"field_coverage_json\\\", \\\"quality_flags_json\\\"}.issubset(dry_run_cols)\\n\\n\",\"old_string\":\"\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"success\": false, \"error\": \"old_string cannot be empty\"}",
      "tool_call_id": "call_vSL7snozyZvRl9y2PxfgIi0l"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_7nfXou2I9Ma0g55Kkqtjpmzl",
          "call_id": "call_7nfXou2I9Ma0g55Kkqtjpmzl",
          "response_item_id": "fc_08f4a38c81e27d3e016a06d9ecbdc88191baee74aeba9910f3",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n    conn = connect_memory()\\n    apply_migrations(conn)\\n    tx_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n    crypto_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(crypto_holdings)\\\").fetchall()}\\n    instrument_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instruments)\\\").fetchall()}\\n    assert tx_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n    assert tx_cols[\\\"fx_rate_to_chf\\\"].upper() == \\\"TEXT\\\"\\n    assert crypto_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n    assert {\\\"position_category\\\", \\\"ter\\\", \\\"distribution_policy\\\", \\\"index_name\\\", \\\"fund_domicile\\\", \\\"benchmark\\\"}.issubset(instrument_cols)\\n\\n\\ndef test_broker_bank_mapping_tables_exist_with_required_columns() -> None:\\n    conn = connect_memory()\\n    apply_migrations(conn)\\n    instrument_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instrument_mappings)\\\").fetchall()}\\n    account_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(platform_account_mappings)\\\").fetchall()}\\n    dry_run_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_dry_runs)\\\").fetchall()}\\n\\n    assert {\\\"source_name\\\", \\\"source_isin\\\", \\\"source_ticker\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n    assert {\\\"source_name\\\", \\\"source_platform_label\\\", \\\"source_account_label\\\", \\\"platform_id\\\", \\\"account_id\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n    assert {\\\"source_name\\\", \\\"source_file_type\\\", \\\"detected_sections_json\\\", \\\"field_coverage_json\\\", \\\"quality_flags_json\\\"}.issubset(dry_run_cols)\\n\",\"old_string\":\"def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n    conn = connect_memory()\\n    apply_migrations(conn)\\n    tx_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n    crypto_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(crypto_holdings)\\\").fetchall()}\\n    instrument_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instruments)\\\").fetchall()}\\n    assert tx_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n    assert tx_cols[\\\"fx_rate_to_chf\\\"].upper() == \\\"TEXT\\\"\\n    assert crypto_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n    assert {\\\"position_category\\\", \\\"ter\\\", \\\"distribution_policy\\\", \\\"index_name\\\", \\\"fund_domicile\\\", \\\"benchmark\\\"}.issubset(instrument_cols)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -28,3 +28,15 @@\\n     assert tx_cols[\\\"fx_rate_to_chf\\\"].upper() == \\\"TEXT\\\"\\n     assert crypto_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n     assert {\\\"position_category\\\", \\\"ter\\\", \\\"distribution_policy\\\", \\\"index_name\\\", \\\"fund_domicile\\\", \\\"benchmark\\\"}.issubset(instrument_cols)\\n+\\n+\\n+def test_broker_bank_mapping_tables_exist_with_required_columns() -> None:\\n+    conn = connect_memory()\\n+    apply_migrations(conn)\\n+    instrument_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instrument_mappings)\\\").fetchall()}\\n+    account_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(platform_account_mappings)\\\").fetchall()}\\n+    dry_run_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_dry_runs)\\\").fetchall()}\\n+\\n+    assert {\\\"source_name\\\", \\\"source_isin\\\", \\\"source_ticker\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n+    assert {\\\"source_name\\\", \\\"source_platform_label\\\", \\\"source_account_label\\\", \\\"platform_id\\\", \\\"account_id\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n+    assert {\\\"source_name\\\", \\\"source_file_type\\\", \\\"detected_sections_json\\\", \\\"field_coverage_json\\\", \\\"quality_flags_json\\\"}.issubset(dry_run_cols)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_7nfXou2I9Ma0g55Kkqtjpmzl"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_xVgN9QnXPuWooEwS22WHH0T5",
          "call_id": "call_xVgN9QnXPuWooEwS22WHH0T5",
          "response_item_id": "fc_0e6068bfc095d622016a06da0138f081919a0d6d045579517f",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/docs/broker-bank-mapping-plan.md\",\"content\":\"# Broker/Bank Mapping Plan — PostFinance, True Wealth, Raiffeisen\\n\\nPurpose: structural mapping only. No productive DB changes, no real broker values in Git, and no row-level values in chat/reporting.\\n\\n## Source-file analysis\\n\\nFiles were inspected from the external runtime workspace only; the original downloaded files remain outside the repository under `~/jarvis_runtime/finance-system/imports/...` and are not committed.\\n\\n### PostFinance\\n\\n- Source type: DOCX portfolio/depot export.\\n- Detected structure: multiple tables; separate cash/account summary tables and one positions table.\\n- Fields present structurally:\\n  - name/product: present.\\n  - quantity: present.\\n  - currency: present.\\n  - market value/current total value: present.\\n  - cost basis / entry price: present as legacy/reference field.\\n  - account/cash sections: present.\\n- Fields not clearly present from structural scan:\\n  - ISIN: not detected.\\n  - exchange: not detected.\\n  - full ticker metadata: partial/ambiguous; requires manual mapping.\\n  - fees/taxes: not detected in current export structure.\\n  - reliable snapshot date in table headers: not detected structurally; must be captured from document metadata or user-provided import date.\\n- Data-quality implications:\\n  - `missing_isin` for position rows until manually mapped.\\n  - `snapshot_only` because export is current holdings, not transaction history.\\n  - `cost_basis_uncertain` for entry/cost fields until broker semantics are confirmed.\\n  - `market_value_legacy` because imported values are source snapshot controls, not live valuation truth.\\n  - `needs_manual_review` for instrument identity.\\n\\n### True Wealth\\n\\n- Source type: DOCX portfolio export.\\n- Detected structure: one mixed table containing cash/account and allocation/position-like rows.\\n- Fields present structurally:\\n  - cash/balance sections: present.\\n  - account/portfolio context: present.\\n  - currency: present.\\n  - quantity/percentage-like information: present in table structure.\\n  - date-like text: present structurally.\\n- Fields not clearly present from structural scan:\\n  - ISIN: not detected.\\n  - ticker: not detected.\\n  - cost basis: not detected.\\n  - fees/taxes: not detected.\\n  - explicit market-value columns are not cleanly separable without source-specific parsing.\\n- Data-quality implications:\\n  - `missing_isin` and `needs_manual_review` for instruments.\\n  - `snapshot_only` for all holdings/cash.\\n  - `cost_basis_uncertain` unless later export contains transaction/cost history.\\n  - likely `missing_fx` where non-CHF rows exist and no trusted FX source is attached.\\n\\n### Raiffeisen\\n\\n- Source type: XLSX overview workbook.\\n- Detected structure: one sheet with compact account/platform overview.\\n- Fields present structurally:\\n  - account/platform labels: present.\\n  - cash/account rows: present.\\n  - high-level depot/investment row: present.\\n  - account balances/control totals: present.\\n- Fields not clearly present from structural scan:\\n  - ISIN: not detected.\\n  - ticker: not detected.\\n  - quantity: not detected.\\n  - instrument names: not detected beyond aggregate labels.\\n  - cost basis: not detected.\\n  - fees/taxes: not detected.\\n  - detailed position rows: not detected.\\n- Data-quality implications:\\n  - usable primarily as account/cash/control snapshot until detailed depot export is provided.\\n  - `snapshot_only`, `market_value_legacy`, and `needs_manual_review`.\\n  - instrument import should be blocked from this file unless a later detailed export is identified.\\n\\n## Mapping foundation prepared in schema\\n\\nMigration `003_broker_bank_mapping_foundation` prepares non-destructive mapping tables:\\n\\n- `instrument_mappings`\\n  - Source-level instrument identity cache.\\n  - Captures source name, source instrument label, ISIN, ticker, exchange, currency, mapped `instrument_id`, status, notes and quality flags.\\n  - Intended statuses: `unmapped`, `selected`, `manual_review`, `rejected`.\\n\\n- `platform_account_mappings`\\n  - Source-level platform/account identity cache.\\n  - Captures source platform/account labels, source type/currency, mapped platform/account IDs, status, notes and quality flags.\\n\\n- `broker_import_dry_runs`\\n  - Stores structural dry-run metadata only: source label/type/hash, detected sections, field coverage, quality flags and aggregate row counts.\\n  - Must not store raw values, quantities, market values, account balances or complete source rows.\\n\\nExisting target tables remain the canonical domain model:\\n\\n- ISIN/instrument master: `instruments` with ISIN as the primary identity for stocks/ETFs when available; ticker/exchange are supplementary.\\n- Platform/account mapping: `platforms`, `accounts`.\\n- Initial position snapshots: `positions_snapshot` with transaction type/source semantics recorded via import session and audit log.\\n- Cash snapshots: `cash_balances` with `source_type='initial_cash_snapshot'`.\\n- Auditability: `import_sessions`, `audit_log`, `alerts`/quality flags.\\n\\n## Dry-run mapping proposal\\n\\nFor each source importer, implement a dry-run pipeline before any commit mode:\\n\\n1. Copy source file to external runtime temp/import directory only.\\n2. Hash file and create/read `import_sessions` with `status='dry_run'`.\\n3. Parse structure into candidate sections, never writing raw rows into Git or chat.\\n4. Split candidates:\\n   - position candidates\\n   - cash snapshot candidates\\n   - account/platform mapping candidates\\n   - rejected/unusable rows\\n5. Validate required fields:\\n   - Position snapshot requires source account/depot, instrument name or ISIN/ticker, quantity, currency and snapshot date.\\n   - Cash snapshot requires account/depot, currency, amount and snapshot date.\\n   - ISIN is strongly preferred; if missing, create mapping candidate with manual review.\\n6. Attach quality flags:\\n   - `missing_isin`\\n   - `missing_fx`\\n   - `snapshot_only`\\n   - `cost_basis_uncertain`\\n   - `market_value_legacy`\\n   - `needs_manual_review`\\n7. Produce aggregate-only dry-run output:\\n   - source name/type\\n   - detected sections\\n   - position candidate count\\n   - cash candidate count\\n   - blocked rows count\\n   - quality-flag counts\\n   - no values, quantities, market values or account balances.\\n8. Commit mode remains disabled until explicit user approval and a runtime DB backup exists.\\n\\n## Source-specific initial mapping stance\\n\\n- PostFinance: can become the first equity/ETF initial-snapshot dry-run source after manual instrument identity resolution, because position-like rows and cost/control fields are structurally present.\\n- True Wealth: dry-run source after parser can distinguish cash from allocation/position rows; likely high manual-review rate.\\n- Raiffeisen: use as cash/account/control snapshot only until detailed securities export is available.\\n\\n## Hard blocks before productive import\\n\\n- No source file in Git.\\n- Runtime DB backup verified.\\n- Dry-run reviewed.\\n- Manual mapping selected for every row with missing ISIN/ticker ambiguity.\\n- FX source selected for non-CHF rows.\\n- Audit-log events prepared for every created platform/account/instrument/snapshot row.\\n- Import is idempotent by file hash + row hash + target identity.\\n\"}"
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        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Preparing documents for mapping report**\n\nI need to gather the necessary documentation for the mapping report and the backlog. It looks like I'll need to use the write_file tool for that. I’m thinking about what specific information needs to be included in this documentation to ensure it's comprehensive and user-friendly. It’s all about making sure everything is clearly organized so the user can easily understand it. Let me get started on that!",
      "reasoning_content": "**Preparing documents for mapping report**\n\nI need to gather the necessary documentation for the mapping report and the backlog. It looks like I'll need to use the write_file tool for that. I’m thinking about what specific information needs to be included in this documentation to ensure it's comprehensive and user-friendly. It’s all about making sure everything is clearly organized so the user can easily understand it. Let me get started on that!",
      "codex_reasoning_items": [
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            "arguments": "{\"content\":\"# FinanceManager Backlog\\n\\nThis backlog records approved future modules that are intentionally not built in the current MVP hardening block.\\n\\n## Near-term sequence\\n\\n1. Broker/bank structural mapping and dry-run importers.\\n2. Equity/ETF initial snapshot dry run.\\n3. Productive equity/ETF import only after explicit approval and verified runtime backup.\\n4. Equity/ETF market data + FX.\\n5. Gesamtportfolio dashboard with visual analytics.\\n6. Data Quality Center.\\n7. Watchlist / Decision Journal.\\n8. Scores / Rebalancing.\\n9. Backtesting / Monte Carlo / Projected Return.\\n\\n## Portfolio Health page\\n\\n- Total value in CHF.\\n- Asset classes.\\n- Platforms.\\n- Data quality.\\n- Cash quota.\\n- Missing prices and FX.\\n\\n## Reconciliation / Abgleich page\\n\\n- Dashboard holdings vs. last snapshot.\\n- Manual review marker: holding checked on date X.\\n- Make differences visible.\\n\\n## Data Quality Center\\n\\n- Missing prices.\\n- Stale prices.\\n- Missing FX.\\n- Missing ISIN.\\n- Missing CoinGecko ID.\\n- Incomplete history.\\n- Old/unresolved alerts.\\n- Import problems.\\n- Button: Recheck.\\n- Button: Resolve fixed alerts.\\n\\n## Manual Review Queue\\n\\n- Skipped coins.\\n- Uncertain crypto mappings.\\n- Missing stock/ETF mappings.\\n- Import rows with errors.\\n- Open alerts.\\n- Open data-quality problems.\\n- Manual decision capture.\\n\\n## Backup / Restore\\n\\n- Runtime DB backup.\\n- Runtime DB restore with explicit confirmation.\\n- Backup verification with SHA256 checksum.\\n- Optional encrypted backup.\\n- Restore test before broader productive imports.\\n\\n## Safe Mode / Read-only Mode\\n\\n- Dashboard read-only by default.\\n- Explicit enablement for write actions.\\n- Review/confirm before every write.\\n- Visible environment indicator: `Live Runtime DB` vs. `Demo DB`.\\n- Guard rails against accidental changes.\\n\\n## Command Center UX\\n\\nThe Command Center should immediately show:\\n\\n- Total value CHF.\\n- Overall data quality.\\n- Critical alerts.\\n- Missing prices/FX.\\n- Largest movements.\\n- Portfolio allocation.\\n- Open decisions.\\n- Report buttons.\\n- Last backup timestamp.\\n\\n## Import Wizard UX\\n\\nFor real broker data:\\n\\n1. Select file.\\n2. Select source.\\n3. Review mapping.\\n4. Dry run.\\n5. Show warnings.\\n6. Create/verify backup.\\n7. Explicit commit confirmation.\\n8. Show result and audit summary.\\n\\n## Visual Analytics Layer\\n\\n### Portfolio Heatmap / Treemap\\n\\n- Tile size = portfolio weight.\\n- Color = performance, risk score or data quality.\\n- Click on asset opens detail view.\\n\\n### Allocation charts\\n\\n- Asset class.\\n- Platform/depot.\\n- Currency.\\n- Country/region.\\n- Sector.\\n- Core vs. opportunity.\\n- Crypto vs. traditional assets.\\n\\n### Contribution Analysis\\n\\n- Contribution of each asset to total gain/loss in CHF.\\n- Contribution by asset class.\\n- Contribution by platform.\\n- Separate dividend/distribution contribution.\\n\\n### Currency Exposure\\n\\n- Direct currency per position.\\n- USD/EUR/CHF shares.\\n- FX P&L separately.\\n- Warning for high USD/EUR concentration.\\n\\n### Performance Waterfall\\n\\n- Start value.\\n- Deposits/withdrawals.\\n- Price gain/loss.\\n- Dividends/distributions.\\n- FX effect.\\n- Fees/taxes.\\n- End value.\\n\\n## Risk & Correlation Tools\\n\\n- Correlation matrix.\\n- Rolling correlation.\\n- Volatility.\\n- Maximum drawdown.\\n- Drawdown chart.\\n- Top-5 risk contributions.\\n- Concentration score.\\n- Platform/broker risk.\\n- Crypto share and crypto drawdown.\\n- ETF look-through later.\\n\\n## Benchmark / Backtesting\\n\\n- Portfolio vs. MSCI World.\\n- Portfolio vs. S&P 500.\\n- Portfolio vs. Nasdaq 100.\\n- Portfolio vs. BTC.\\n- Portfolio vs. own blended benchmark, e.g. 80/20.\\n- Relative strength vs. benchmark.\\n- Rolling returns.\\n- Backtest current allocation.\\n- Backtest scoring rules only when historical data is sufficient.\\n\\n## Projection / Monte Carlo\\n\\nClearly label as simulation, not forecast.\\n\\n- Monte Carlo simulation based on historical return/volatility.\\n- Scenarios:\\n  - conservative\\n  - neutral\\n  - optimistic\\n- Output:\\n  - range of possible outcomes\\n  - probability of reaching target amount\\n  - drawdown risk\\n  - transparent assumptions\\n- No language implying guaranteed returns or AI prediction.\\n\\n## Scenario Stress Tests\\n\\n- CHF +10%.\\n- USD/CHF -10%.\\n- Equity market -20%.\\n- Nasdaq -30%.\\n- Crypto -40%.\\n- Interest-rate increase.\\n- Inflation shock.\\n- Risk-off combined scenario.\\n- Single position -30%.\\n\\nOutput:\\n\\n- Impact in CHF.\\n- Impact per asset class.\\n- Impact per platform.\\n- Cash quota after scenario.\\n- Limit breaches.\\n\\n## Watchlist and Decision Journal\\n\\n- Watchlist pipeline.\\n- Target prices.\\n- Triggers.\\n- Investment case.\\n- Bear case.\\n- Review date.\\n- Transfer to portfolio.\\n- Decision Journal as mandatory option for buy/sell/override.\\n- Obsidian Markdown export:\\n  - one Markdown file per decision\\n  - frontmatter with asset, date, action, reason, risk, review date\\n  - no sensitive values unless explicitly allowed.\\n\\n## Local LLM Integration\\n\\nLater only, never for final accounting/tax/recommendation decisions.\\n\\n- Local news summaries.\\n- Local PDF summaries of bank documents.\\n- Bear-case drafts.\\n- Report-text drafts.\\n- Never final bookkeeping, FX, tax values or binding recommendations.\\n\\n## Schweizer Income-/Tax-Kontrollmodul\\n\\nControl module only; broker tax documents remain authoritative.\\n\\n- Gross/net dividends.\\n- Swiss withholding tax 35%.\\n- Foreign withholding tax.\\n- Distributions per year.\\n- Hinweis: Broker-Steuerunterlagen bleiben maßgeblich.\\n- Not a complete tax dossier replacement.\\n\\n## Eye Health / Low-Strain Mode\\n\\n- Dark low-strain theme.\\n- High contrast.\\n- Few glaring colors.\\n- Clear traffic-light colors.\\n- Optional larger font.\\n- Suitable for longer analysis sessions.\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/docs/finance-backlog.md\"}"
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      "reasoning_content": "**Updating backlog and UX**\n\nI'm thinking about how to tackle the backlog and UX updates. Should I apply a patch or write a complete update from scratch? Maybe it makes more sense to extend the existing file to achieve what I want. I’m weighing my options here and wondering which approach would be the most efficient and effective. It’s important to keep everything organized while ensuring any updates enhance the user experience!",
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      "reasoning_content": "**Considering migration and tests**\n\nI need to focus on running tests and ensuring git safety. It might be good to commit and push for stages 4 and 5, even though the user didn't require it after stage 4. There was also a pycache issue from a previous command that I should remove. Migrating the new version could potentially impact the backup test. I need to run compile pytest and make sure everything is set before applying any migrations.",
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      "content": "{\"output\": \"[main 41f11d2] docs: prepare broker bank mapping backlog\\n 5 files changed, 424 insertions(+), 8 deletions(-)\\n create mode 100644 docs/broker-bank-mapping-plan.md\", \"exit_code\": 0, \"error\": null}",
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      "content": "{\"todos\": [{\"id\": \"s1\", \"content\": \"Push der 2 lokalen Commits nach Compile, Tests, Git-Safety, Status; kein Force-Push\", \"status\": \"completed\"}, {\"id\": \"s2\", \"content\": \"Phase A: Crypto Alert-Lifecycle Auto-Resolve + check-data-quality CLI + Tests + Runtime-Recheck + Commit/Push\", \"status\": \"completed\"}, {\"id\": \"s3\", \"content\": \"Minimal Backup/Restore CLI + Tests + Git-Safety + Commit/Push\", \"status\": \"completed\"}, {\"id\": \"s4\", \"content\": \"Broker-/Bank-Dateien strukturell mappen und Mapping-/Dry-Run-Plan erstellen ohne produktive DB-Änderung\", \"status\": \"completed\"}, {\"id\": \"s5\", \"content\": \"Backlog/UX-Konzept um Visual Analytics, Risk, Benchmarks, Projections, Scenario Tests, Watchlist/Decision Journal, Local LLM, Tax, Dashboard UX erweitern\", \"status\": \"completed\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 0, \"completed\": 5, \"cancelled\": 0}}",
      "tool_call_id": "call_tkaTRQ0FB7sm6aRDiabfsFdW"
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    {
      "role": "assistant",
      "content": "Erledigt, Sir.\n\n## Status Push / Repo\n\n- Remote HEAD: `41f11d2`\n- Branch: `main`\n- Git Status: sauber, `main...origin/main`\n- Force-Push: nein\n- Remote wurde vor Push geprüft; keine neuen Remote-Commits überschrieben.\n\n## Schritt 1–3 abgeschlossen\n\n### 1. Zwei alte lokale Commits gepusht\n\n- `1b5028d` — Crypto Price Refresh Hardening\n- `943c424` — Equity/ETF Management UI\n\nDanach weitergebaut.\n\n### 2. Crypto Alert Lifecycle\n\nImplementiert und gepusht:\n\n- Auto-Resolve für fixed stale/missing price alerts\n- `finance check-data-quality`\n- Optionen:\n  - `--scope crypto`\n  - `--resolve-fixed`\n  - `--dry-run`\n- Tests ergänzt für Alert-Lifecycle/Dedupe\n- Produktiver Recheck aggregiert durchgeführt, ohne Preise/Mengen/Werte im Chat\n\nCommit:\n\n- `75e3a3a` — Alert Lifecycle / Data Quality Recheck\n\n### 3. Minimal Backup / Restore\n\nImplementiert und gepusht:\n\n- `finance backup-runtime-db`\n- `finance restore-runtime-db --from <backup-file> --yes`\n- `finance verify-backup --file <backup-file>`\n- Backup ausschließlich außerhalb Git im Runtime-Backups-Ordner\n- Timestamp-Dateiname\n- SHA256-Checksum\n- Restore nur mit expliziter Bestätigung / `--yes`\n- Git-Safety blockiert Backup-Dateien im Repo\n\nProduktiver Backup-Test:\n\n- Backup erzeugt: ja\n- Backup verifiziert: ja\n- Checksum OK: ja\n- Speicherort: externer Runtime-Ordner, nicht Git\n\nCommit:\n\n- `1e2ca9b` — Runtime DB Backup/Restore\n\nTests:\n\n- `122 passed`\n\nGit-Safety:\n\n- OK\n\n## Schritt 4: Broker-/Bank-Dateien strukturell gemappt\n\nKeine produktive DB-Änderung. Keine echten Werte/Mengen im Chat. Dateien wurden nur im externen Runtime-Bereich analysiert, nicht ins Repo gelegt.\n\nDokument erstellt:\n\n- `docs/broker-bank-mapping-plan.md`\n\nZusätzlich vorbereitet:\n\n- Schema-Fundament für Mapping/Dry-Runs:\n  - `instrument_mappings`\n  - `platform_account_mappings`\n  - `broker_import_dry_runs`\n\nCommit:\n\n- `41f11d2` — Broker/Bank Mapping + Backlog\n\n### PostFinance\n\n- Dateityp: DOCX\n- Struktur:\n  - mehrere Tabellen\n  - Cash-/Account-Zusammenfassungen\n  - Positionstabelle vorhanden\n- Felder strukturell vorhanden:\n  - Produkt/Name\n  - Anzahl/Menge\n  - Währung\n  - Markt-/Totalwert\n  - Einstand-/Kostenfeld als Legacy-/Kontrollinfo\n  - Cash-/Kontobereiche\n- Nicht klar erkannt:\n  - ISIN\n  - Exchange\n  - eindeutige Ticker-Metadaten\n  - Gebühren/Steuern\n  - sauberer Stichtag in Tabellenstruktur\n- Quality Flags:\n  - `missing_isin`\n  - `snapshot_only`\n  - `cost_basis_uncertain`\n  - `market_value_legacy`\n  - `needs_manual_review`\n\n### True Wealth\n\n- Dateityp: DOCX\n- Struktur:\n  - eine gemischte Tabelle mit Cash-/Konto- und positionsähnlichen Zeilen\n- Felder strukturell vorhanden:\n  - Cash/Balances\n  - Account-/Portfolio-Kontext\n  - Währung\n  - Mengen-/Anteilsinformationen\n  - datumähnliche Struktur\n- Nicht klar erkannt:\n  - ISIN\n  - Ticker\n  - Cost Basis\n  - Gebühren/Steuern\n  - sauber trennbare Market-Value-Felder\n- Quality Flags:\n  - `missing_isin`\n  - `snapshot_only`\n  - `cost_basis_uncertain`\n  - `missing_fx` falls Fremdwährung ohne FX\n  - `needs_manual_review`\n\n### Raiffeisen\n\n- Dateityp: XLSX\n- Struktur:\n  - ein Sheet\n  - kompakte Konto-/Anlagenübersicht\n- Felder strukturell vorhanden:\n  - Konto-/Plattformlabels\n  - Cash-/Account-Zeilen\n  - aggregierte Depot-/Anlagezeilen\n- Nicht klar erkannt:\n  - ISIN\n  - Ticker\n  - Mengen\n  - detaillierte Instrumentpositionen\n  - Cost Basis\n  - Gebühren/Steuern\n- Nutzungsempfehlung:\n  - vorerst Cash-/Account-/Kontrollsnapshot\n  - kein produktiver Instrumentimport aus dieser Datei ohne detaillierteren Export\n\n## Schritt 5: Backlog / UX-Konzept erweitert\n\nAktualisiert:\n\n- `docs/finance-backlog.md`\n\nErgänzt:\n\n- Visual Analytics Layer\n  - Treemap/Heatmap\n  - Allocation Charts\n  - Contribution Analysis\n  - Currency Exposure\n  - Performance Waterfall\n- Risk & Correlation Tools\n- Benchmark / Backtesting\n- Projection / Monte Carlo als Simulation, nicht Prognose\n- Scenario Stress Tests\n- Watchlist & Decision Journal inkl. Obsidian Export\n- Local LLM Integration — nur Zusammenfassung/Entwurf, keine finale Buchhaltung\n- Schweizer Income-/Tax-Kontrollmodul\n- Command Center UX\n- Safe Mode / Read-only Mode\n- Data Quality Center\n- Manual Review Queue\n- Import Wizard\n- Eye Health / Low-Strain Mode\n\n## Final Verification\n\nNach den letzten Änderungen:\n\n- Compile: OK\n- Tests: `123 passed`\n- Git-Safety: OK\n- Git Status: sauber\n- Remote HEAD: `41f11d2`\n\nKeine echten Aktien-/ETF-Daten importiert. Keine produktive DB-Änderung für Broker/Bank-Daten. Keine echten Werte/Mengen im Chat.",
      "codex_message_items": [
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              "text": "Erledigt, Sir.\n\n## Status Push / Repo\n\n- Remote HEAD: `41f11d2`\n- Branch: `main`\n- Git Status: sauber, `main...origin/main`\n- Force-Push: nein\n- Remote wurde vor Push geprüft; keine neuen Remote-Commits überschrieben.\n\n## Schritt 1–3 abgeschlossen\n\n### 1. Zwei alte lokale Commits gepusht\n\n- `1b5028d` — Crypto Price Refresh Hardening\n- `943c424` — Equity/ETF Management UI\n\nDanach weitergebaut.\n\n### 2. Crypto Alert Lifecycle\n\nImplementiert und gepusht:\n\n- Auto-Resolve für fixed stale/missing price alerts\n- `finance check-data-quality`\n- Optionen:\n  - `--scope crypto`\n  - `--resolve-fixed`\n  - `--dry-run`\n- Tests ergänzt für Alert-Lifecycle/Dedupe\n- Produktiver Recheck aggregiert durchgeführt, ohne Preise/Mengen/Werte im Chat\n\nCommit:\n\n- `75e3a3a` — Alert Lifecycle / Data Quality Recheck\n\n### 3. Minimal Backup / Restore\n\nImplementiert und gepusht:\n\n- `finance backup-runtime-db`\n- `finance restore-runtime-db --from <backup-file> --yes`\n- `finance verify-backup --file <backup-file>`\n- Backup ausschließlich außerhalb Git im Runtime-Backups-Ordner\n- Timestamp-Dateiname\n- SHA256-Checksum\n- Restore nur mit expliziter Bestätigung / `--yes`\n- Git-Safety blockiert Backup-Dateien im Repo\n\nProduktiver Backup-Test:\n\n- Backup erzeugt: ja\n- Backup verifiziert: ja\n- Checksum OK: ja\n- Speicherort: externer Runtime-Ordner, nicht Git\n\nCommit:\n\n- `1e2ca9b` — Runtime DB Backup/Restore\n\nTests:\n\n- `122 passed`\n\nGit-Safety:\n\n- OK\n\n## Schritt 4: Broker-/Bank-Dateien strukturell gemappt\n\nKeine produktive DB-Änderung. Keine echten Werte/Mengen im Chat. Dateien wurden nur im externen Runtime-Bereich analysiert, nicht ins Repo gelegt.\n\nDokument erstellt:\n\n- `docs/broker-bank-mapping-plan.md`\n\nZusätzlich vorbereitet:\n\n- Schema-Fundament für Mapping/Dry-Runs:\n  - `instrument_mappings`\n  - `platform_account_mappings`\n  - `broker_import_dry_runs`\n\nCommit:\n\n- `41f11d2` — Broker/Bank Mapping + Backlog\n\n### PostFinance\n\n- Dateityp: DOCX\n- Struktur:\n  - mehrere Tabellen\n  - Cash-/Account-Zusammenfassungen\n  - Positionstabelle vorhanden\n- Felder strukturell vorhanden:\n  - Produkt/Name\n  - Anzahl/Menge\n  - Währung\n  - Markt-/Totalwert\n  - Einstand-/Kostenfeld als Legacy-/Kontrollinfo\n  - Cash-/Kontobereiche\n- Nicht klar erkannt:\n  - ISIN\n  - Exchange\n  - eindeutige Ticker-Metadaten\n  - Gebühren/Steuern\n  - sauberer Stichtag in Tabellenstruktur\n- Quality Flags:\n  - `missing_isin`\n  - `snapshot_only`\n  - `cost_basis_uncertain`\n  - `market_value_legacy`\n  - `needs_manual_review`\n\n### True Wealth\n\n- Dateityp: DOCX\n- Struktur:\n  - eine gemischte Tabelle mit Cash-/Konto- und positionsähnlichen Zeilen\n- Felder strukturell vorhanden:\n  - Cash/Balances\n  - Account-/Portfolio-Kontext\n  - Währung\n  - Mengen-/Anteilsinformationen\n  - datumähnliche Struktur\n- Nicht klar erkannt:\n  - ISIN\n  - Ticker\n  - Cost Basis\n  - Gebühren/Steuern\n  - sauber trennbare Market-Value-Felder\n- Quality Flags:\n  - `missing_isin`\n  - `snapshot_only`\n  - `cost_basis_uncertain`\n  - `missing_fx` falls Fremdwährung ohne FX\n  - `needs_manual_review`\n\n### Raiffeisen\n\n- Dateityp: XLSX\n- Struktur:\n  - ein Sheet\n  - kompakte Konto-/Anlagenübersicht\n- Felder strukturell vorhanden:\n  - Konto-/Plattformlabels\n  - Cash-/Account-Zeilen\n  - aggregierte Depot-/Anlagezeilen\n- Nicht klar erkannt:\n  - ISIN\n  - Ticker\n  - Mengen\n  - detaillierte Instrumentpositionen\n  - Cost Basis\n  - Gebühren/Steuern\n- Nutzungsempfehlung:\n  - vorerst Cash-/Account-/Kontrollsnapshot\n  - kein produktiver Instrumentimport aus dieser Datei ohne detaillierteren Export\n\n## Schritt 5: Backlog / UX-Konzept erweitert\n\nAktualisiert:\n\n- `docs/finance-backlog.md`\n\nErgänzt:\n\n- Visual Analytics Layer\n  - Treemap/Heatmap\n  - Allocation Charts\n  - Contribution Analysis\n  - Currency Exposure\n  - Performance Waterfall\n- Risk & Correlation Tools\n- Benchmark / Backtesting\n- Projection / Monte Carlo als Simulation, nicht Prognose\n- Scenario Stress Tests\n- Watchlist & Decision Journal inkl. Obsidian Export\n- Local LLM Integration — nur Zusammenfassung/Entwurf, keine finale Buchhaltung\n- Schweizer Income-/Tax-Kontrollmodul\n- Command Center UX\n- Safe Mode / Read-only Mode\n- Data Quality Center\n- Manual Review Queue\n- Import Wizard\n- Eye Health / Low-Strain Mode\n\n## Final Verification\n\nNach den letzten Änderungen:\n\n- Compile: OK\n- Tests: `123 passed`\n- Git-Safety: OK\n- Git Status: sauber\n- Remote HEAD: `41f11d2`\n\nKeine echten Aktien-/ETF-Daten importiert. Keine produktive DB-Änderung für Broker/Bank-Daten. Keine echten Werte/Mengen im Chat."
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          "phase": "final_answer"
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      "content": "[M G] Sehr gut. Der aktuelle Stand ist akzeptiert.\n\nDie abgeschlossenen Schritte sind bestätigt:\n\n* alte lokale Commits gepusht\n* Alert-Lifecycle behoben\n* Backup/Restore implementiert\n* Broker-/Bank-Dateien strukturell analysiert\n* Backlog/UX-Konzept erweitert\n* Tests: 123 passed\n* Git-Safety: OK\n* Remote HEAD: 41f11d2\n* keine echten Aktien-/ETF-Daten produktiv importiert\n\nBitte jetzt nicht mit Monte-Carlo, Backtesting, Rebalancing, Scores oder Heatmaps beginnen. Diese Module kommen später.\n\nDer nächste sinnvolle Schritt ist:\n\n## Phase B1 — Equity/ETF Import Wizard und Instrument Mapping\n\nZiel:\nWir brauchen einen sicheren Import-/Review-Prozess für PostFinance, True Wealth und Raiffeisen, bevor echte Aktien-/ETF-/Cash-Daten produktiv übernommen werden.\n\nDie strukturelle Analyse zeigt, dass die vorhandenen Dateien nicht direkt sauber genug für einen automatischen Import sind. Vor allem fehlen oder sind unklar:\n\n* ISIN\n* Ticker\n* Exchange\n* eindeutige Instrument-Metadaten\n* Stichtag\n* Cost Basis\n* Gebühren/Steuern\n* detaillierte Instrumentpositionen bei Raiffeisen\n\nDeshalb bitte jetzt einen Import Wizard und Mapping-Layer bauen, aber weiterhin keinen produktiven Import echter Aktien-/ETF-Daten durchführen.\n\n## 1. Instrument Master / Mapping Layer\n\nBitte implementiere oder erweitere:\n\n### Tabelle / Modell: instrument_mappings\n\nZweck:\nQuellbezeichnungen aus Broker-/Bank-Dateien werden auf interne Instrumente gemappt.\n\nFelder:\n\n* mapping_id\n* source_name\n* source_platform: PostFinance, True Wealth, Raiffeisen\n* source_account\n* source_label\n* normalized_name\n* isin\n* ticker\n* exchange\n* currency\n* asset_class: equity, etf, cash, other\n* instrument_id optional\n* mapping_status:\n\n  * mapped\n  * needs_manual_review\n  * missing_isin\n  * missing_ticker\n  * ambiguous\n  * ignored\n* confidence\n* notes\n* created_at\n* updated_at\n\nRegeln:\n\n* ISIN ist für Aktien/ETFs primäre Identifikation.\n* Ticker + Exchange ist Fallback.\n* Name allein reicht nicht für automatisches Mapping.\n* Unsichere Mappings dürfen nicht produktiv importiert werden.\n* Manuelle Bestätigung muss Audit-Log erzeugen.\n\n## 2. Platform / Account Mapping\n\nBitte implementiere oder erweitere:\n\n### Tabelle / Modell: platform_account_mappings\n\nZweck:\nQuellkonten aus Broker-/Bank-Auszügen werden auf interne platforms/accounts gemappt.\n\nFelder:\n\n* mapping_id\n* source_platform\n* source_account_label\n* normalized_platform\n* normalized_account_name\n* internal_platform_id\n* internal_account_id\n* account_type:\n\n  * brokerage\n  * cash\n  * robo_portfolio\n  * reserve\n  * other\n* currency\n* mapping_status\n* notes\n* created_at\n* updated_at\n\nRegeln:\n\n* PostFinance, True Wealth und Raiffeisen müssen eindeutig trennbar sein.\n* Cash-Konten und Depot-Konten dürfen nicht vermischt werden.\n* Raiffeisen soll vorerst primär als Cash-/Kontrollsnapshot behandelt werden, falls keine detaillierten Instrumentpositionen vorhanden sind.\n\n## 3. Broker Import Dry-Run Model\n\nBitte implementiere oder erweitere:\n\n### Tabelle / Modell: broker_import_dry_runs\n\nZweck:\nSpeichert Ergebnisse von Import-Dry-Runs, ohne produktiv ins Ledger zu schreiben.\n\nFelder:\n\n* dry_run_id\n* source_platform\n* source_file_type: docx, xlsx, csv, pdf, unknown\n* source_filename_hash\n* detected_snapshot_date\n* snapshot_date_status:\n\n  * clear\n  * inferred\n  * missing\n  * conflict\n* rows_total\n* candidate_positions\n* candidate_cash_rows\n* mapped_positions\n* blocked_positions\n* warnings_count\n* errors_count\n* quality_flags_json\n* summary_json\n* created_at\n\nWichtig:\nKeine echten Werte oder Mengen in Git oder Docs. Dry-Run-Details mit echten Daten nur Runtime.\n\n## 4. Import Wizard UI\n\nBitte baue im Dashboard eine neue Seite:\n\n### Import Wizard\n\nZiel:\nEin Nutzer soll echte Broker-/Bankdateien kontrolliert prüfen können, bevor sie importiert werden.\n\nWorkflow:\n\n1. Quelle wählen\n\n* PostFinance\n* True Wealth\n* Raiffeisen\n* Manuell / Sonstige\n\n2. Datei auswählen\n\n* Nur Runtime-/Upload-Kontext\n* Keine Datei ins Repo\n* Dateityp anzeigen\n\n3. Struktur erkennen\n\n* Tabellen/Abschnitte anzeigen\n* erkannte Spalten/Feldarten\n* erkannte\nKandidatenpositionen\n* erkannte Cash-Zeilen\n* erkannte Stichtage\n\n4. Mapping prüfen\n\n* Instrumente mit ISIN direkt mappen\n* Instrumente ohne ISIN als needs_manual_review\n* Account-/Depot-Mapping prüfen\n* Currency prüfen\n* Assetklasse prüfen\n\n5. Dry Run anzeigen\n   Nur aggregiert oder mit maskierbaren Details:\n\n* Anzahl Zeilen\n* Anzahl Kandidatenpositionen\n* Anzahl Cash-Zeilen\n* Anzahl sicher gemappt\n* Anzahl manuell zu prüfen\n* Anzahl blockiert\n* Quality Flags\n\n6. Review Queue erzeugen\n   Unsichere Positionen sollen in eine Manual Review Queue:\n\n* missing_isin\n* missing_ticker\n* ambiguous_name\n* missing_fx\n* cost_basis_uncertain\n* snapshot_only\n* market_value_legacy\n\n7. Commit noch nicht produktiv\n   Für diesen Block noch kein produktiver Import echter Aktien-/ETF-Daten.\n   Nur Dry Run, Mapping und Review.\n\n## 5. Manual Review Queue\n\nBitte baue oder vorbereite eine Seite:\n\n### Manual Review Queue\n\nSie soll zeigen:\n\n* unsichere Instrument-Mappings\n* fehlende ISIN\n* fehlende Ticker\n* unklare Accounts\n* unklare Stichtage\n* blockierte Import-Zeilen\n* fehlende FX\n* cost_basis_uncertain\n* snapshot_only\n\nAktionen:\n\n* Mapping bestätigen\n* ISIN ergänzen\n* Ticker ergänzen\n* Exchange ergänzen\n* Account zuweisen\n* Position ignorieren\n* Notiz speichern\n\nAlle Änderungen:\n\n* Audit-Log Pflicht\n* Keine produktive Positionserstellung in diesem Block\n\n## 6. Data Quality Center vorbereiten\n\nBitte erweitere die Data-Quality-Seite oder baue eine erste MVP-Version.\n\nSie soll anzeigen:\n\n* aktive Alerts\n* resolved Alerts\n* fehlende Preise\n* stale prices\n* fehlende FX\n* fehlende ISIN\n* fehlende CoinGecko-ID\n* snapshot_only Positionen\n* cost_basis_uncertain\n* alte Alerts, die resolved werden könnten\n* Button: Data Quality Recheck\n* Button: Resolve Fixed Alerts\n\n## 7. Safe Mode / Read-only Mode vorbereiten\n\nBitte implementiere mindestens eine sichtbare UI-Anzeige:\n\n* aktuelle DB: Runtime oder Demo\n* Modus: Read-only oder Write-enabled\n* Warnung vor produktiven Writes\n* Import Commit Buttons nur aktiv, wenn Write-enabled\n* Default: Read-only für Import Wizard\n\nNoch keine komplexe Rollen-/Auth-Logik nötig.\n\n## 8. Tests\n\nBitte ergänze Tests für:\n\n* instrument_mappings anlegen\n* missing ISIN erzeugt needs_manual_review\n* Name ohne ISIN/Ticker wird nicht automatisch gemappt\n* platform_account_mapping für PostFinance\n* platform_account_mapping für True Wealth\n* platform_account_mapping für Raiffeisen Cash\n* broker_import_dry_run speichert nur Summary, nicht produktive Positionen\n* Import Wizard Module importieren sauber\n* Manual Review Queue lädt offene Mapping-Probleme\n* Data Quality Center zeigt fehlende ISIN / FX / Preise\n* Read-only Mode blockiert Commit-Aktionen\n* Audit-Log bei manueller Mapping-Bestätigung\n* keine echten Dateien im Repo\n* Git-Safety bleibt OK\n\n## 9. Echte Dateien\n\nDu darfst die vorhandenen echten Dateien aus Google Drive für strukturelle Dry-Run-Tests lesen, aber:\n\n* nicht ins Repo kopieren\n* keine echten Werte/Mengen im Chat ausgeben\n* keine produktive DB-Veränderung\n* nur Runtime-/Temp-Kontext\n* nach Analyse Temp-Dateien entfernen\n* Git-Safety vor/nachher prüfen\n\n## 10. Nach Abschluss\n\nBitte ausführen:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nWenn sauber:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nBitte berichten:\n\n* implementierte Module\n* neue/geänderte Dateien\n* Tests\n* Testergebnis\n* Git-Safety\n* Commit Hash\n* Push Status\n* Status der Import Wizard UI\n* welche Daten weiterhin nicht produktiv importiert wurden\n* nächste Empfehlung\n\nWichtig:\nZiel dieses Blocks ist nicht, PostFinance/True Wealth/Raiffeisen bereits produktiv zu importieren. Ziel ist, den sicheren Review- und Mapping-Prozess zu schaffen, damit der spätere produktive Initial Snapshot sauber, nachvollziehbar und auditierbar erfolgen kann."
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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## 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, and `references/runtime-backup-and-broker-mapping.md` for runtime DB backup/restore hardening plus PostFinance/True Wealth/Raiffeisen structural mapping/dry-run rules. 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; later migrateable to FastAPI + React/PostgreSQL.\\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## 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- 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 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.\\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.\\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- 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.\\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- 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\\nBefore 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.\\n\\n## Common pitfalls\\n\\n- Building a fancy dashboard before ledger correctness is verified.\\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- 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- 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- 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- Adding broad Git-safety tests that only assert `len(findings) >= N`; prefer explicit assertions for token filename, PAT patterns, private keys, CSV/JSON path policy, runtime/data directories, allowed synthetic paths, `config.example/`, and normal `src/` false-positive protection.\\n\", \"path\": \"finance/finance-system-architecture/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/finance/finance-system-architecture\", \"linked_files\": {\"references\": [\"references/crypto-single-coin-runtime-test.md\", \"references/multi-wallet-crypto-and-equity-manage-ui.md\", \"references/mvp-crypto-report-export.md\", \"references/mvp-import-pipeline-tasks-9-13.md\", \"references/crypto-xlsx-initial-snapshot-dry-run.md\", \"references/crypto-price-refresh-and-idempotent-btc-runtime.md\", \"references/spec-v0.3-decisions.md\", \"references/runtime-backup-and-broker-mapping.md\", \"references/mvp-market-import-safety-hardening.md\", \"references/spec-v0.4-implementation-blueprint.md\", \"references/crypto-runtime-db-consistency-verification.md\", \"references/github-token-push-from-drive.md\", \"references/mvp-streamlit-dashboard.md\", \"references/spec-v0.4.1-corrections.md\", \"references/mvp-crypto-wallet-ledger.md\", \"references/mvp-safety-gate-implementation.md\", \"references/crypto-xlsx-initial-snapshot-production-import.md\", \"references/spec-v0.5-repo-blueprint.md\", \"references/spec-v0.2-decisions.md\", \"references/mvp-crypto-manual-management-ui.md\", \"references/mvp-ledger-cash-wac-positions.md\", \"references/git-safety-verification-coverage.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"finance\", \"portfolio\", \"accounting\", \"dashboard\", \"csv\", \"fx\", \"tax\", \"privacy\"]}}}",
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\\\"fee_chf\\\", \\\"tax_chf\\\", \\\"net_amount_chf\\\"},\\n    23|    \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n    24|    \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n    25|    \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n    26|}\\n    27|\\n    28|\\n    29|def utc_now() -> str:\\n    30|    return datetime.now(timezone.utc).isoformat()\\n    31|\\n    32|\\n    33|def checksum_sql(sql: str) -> str:\\n    34|    return hashlib.sha256(sql.encode(\\\"utf-8\\\")).hexdigest()\\n    35|\\n    36|\\n    37|def get_schema_version(conn: Connection) -> int:\\n    38|    row = conn.execute(\\\"SELECT MAX(version) AS version FROM schema_migrations\\\").fetchone()\\n    39|    return int(row[\\\"version\\\"] or 0) if row else 0\\n    40|\\n    41|\\n    42|def _table_columns(conn: Connection, table: str) -> dict[str, str]:\\n    43|    return {row[\\\"name\\\"]: (row[\\\"type\\\"] or \\\"\\\") for row in conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()}\\n    44|\\n    45|\\n    46|def _add_missing_instrument_columns(conn: Connection) -> None:\\n    47|    existing = _table_columns(conn, \\\"instruments\\\")\\n    48|    for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():\\n    49|        if name not in existing:\\n    50|            conn.execute(f\\\"ALTER TABLE instruments ADD COLUMN {name} {col_type}\\\")\\n    51|\\n    52|\\n    53|def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:\\n    54|    cols = conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()\\n    55|    if not cols:\\n    56|        return\\n    57|    needs_rebuild = any(row[\\\"name\\\"] in text_columns and (row[\\\"type\\\"] or \\\"\\\").upper() != \\\"TEXT\\\" for row in cols)\\n    58|    if not needs_rebuild:\\n    59|        return\\n    60|    tmp = f\\\"{table}__text_migration\\\"\\n    61|    col_defs: list[str] = []\\n    62|    pk_cols = [row[\\\"name\\\"] for row in cols if row[\\\"pk\\\"]]\\n    63|    for row in cols:\\n    64|        name = row[\\\"name\\\"]\\n    65|        col_type = \\\"TEXT\\\" if name in text_columns else (row[\\\"type\\\"] or \\\"TEXT\\\")\\n    66|        parts = [name, col_type]\\n    67|        if row[\\\"pk\\\"] and len(pk_cols) == 1:\\n    68|            parts.append(\\\"PRIMARY KEY\\\")\\n    69|        if row[\\\"notnull\\\"]:\\n    70|            parts.append(\\\"NOT NULL\\\")\\n    71|        if row[\\\"dflt_value\\\"] is not None:\\n    72|            parts.append(f\\\"DEFAULT {row['dflt_value']}\\\")\\n    73|        col_defs.append(\\\" \\\".join(parts))\\n    74|    if len(pk_cols) > 1:\\n    75|        col_defs.append(\\\"PRIMARY KEY (\\\" + \\\", \\\".join(pk_cols) + \\\")\\\")\\n    76|    conn.execute(f\\\"DROP TABLE IF EXISTS {tmp}\\\")\\n    77|    conn.execute(f\\\"CREATE TABLE {tmp} (\\\" + \\\", \\\".join(col_defs) + \\\")\\\")\\n    78|    names = [row[\\\"name\\\"] for row in cols]\\n    79|    select_exprs = [f\\\"CAST({name} AS TEXT)\\\" if name in text_columns else name for name in names]\\n    80|    conn.execute(f\\\"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}\\\")\\n    81|    conn.execute(f\\\"DROP TABLE {table}\\\")\\n    82|    conn.execute(f\\\"ALTER TABLE {tmp} RENAME TO {table}\\\")\\n    83|    if table == \\\"crypto_holdings\\\":\\n    84|        conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n    85|\\n    86|\\n    87|def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n    88|    conn.executescript(\\n    89|        \\\"\\\"\\\"\\n    90|        CREATE TABLE IF NOT EXISTS instrument_mappings (\\n    91|            mapping_id TEXT PRIMARY KEY,\\n    92|            source_name TEXT NOT NULL,\\n    93|            source_instrument_name TEXT,\\n    94|            source_isin TEXT,\\n    95|            source_ticker TEXT,\\n    96|            source_exchange TEXT,\\n    97|            source_currency TEXT,\\n    98|            instrument_id TEXT REFERENCES instruments(instrument_id),\\n    99|            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n   100|            quality_flags_json TEXT,\\n   101|            notes TEXT,\\n   102|            created_at TEXT NOT NULL,\\n   103|            updated_at TEXT,\\n   104|            UNIQUE(source_name, source_isin, source_ticker, source_instrument_name, source_currency)\\n   105|        );\\n   106|\\n   107|        CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n   108|            mapping_id TEXT PRIMARY KEY,\\n   109|            source_name TEXT NOT NULL,\\n   110|            source_platform_label TEXT,\\n   111|            source_account_label TEXT,\\n   112|            source_account_type TEXT,\\n   113|            source_currency TEXT,\\n   114|            platform_id TEXT REFERENCES platforms(platform_id),\\n   115|            account_id TEXT REFERENCES accounts(account_id),\\n   116|            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n   117|            quality_flags_json TEXT,\\n   118|            notes TEXT,\\n   119|            created_at TEXT NOT NULL,\\n   120|            updated_at TEXT,\\n   121|            UNIQUE(source_name, source_platform_label, source_account_label, source_currency)\\n   122|        );\\n   123|\\n   124|        CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n   125|            dry_run_id TEXT PRIMARY KEY,\\n   126|            source_name TEXT NOT NULL,\\n   127|            source_file_label TEXT NOT NULL,\\n   128|            source_file_type TEXT NOT NULL,\\n   129|            source_hash TEXT,\\n   130|            detected_sections_json TEXT NOT NULL,\\n   131|            field_coverage_json TEXT NOT NULL,\\n   132|            quality_flags_json TEXT NOT NULL,\\n   133|            rows_total INTEGER NOT NULL DEFAULT 0,\\n   134|            rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n   135|            rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n   136|            created_at TEXT NOT NULL,\\n   137|            notes TEXT\\n   138|        );\\n   139|        \\\"\\\"\\\"\\n   140|    )\\n   141|\\n   142|def _apply_compat_migrations(conn: Connection) -> None:\\n   143|    _add_missing_instrument_columns(conn)\\n   144|    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n   145|        _rebuild_table_with_text_columns(conn, table, text_columns)\\n   146|    _create_broker_bank_mapping_tables(conn)\\n   147|\\n   148|\\n   149|def apply_migrations(conn: Connection) -> None:\\n   150|    conn.executescript(INITIAL_SCHEMA_SQL)\\n   151|    existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n   152|    if not existing_initial:\\n   153|        conn.execute(\\n   154|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   155|            (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n   156|        )\\n   157|    _apply_compat_migrations(conn)\\n   158|    existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n   159|    if not existing:\\n   160|        conn.execute(\\n   161|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   162|            (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n   163|        )\\n   164|    conn.commit()\\n   165|\", \"total_lines\": 164, \"file_size\": 6779, \"truncated\": false, \"is_binary\": false, \"is_image\": 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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from pathlib import Path\\n     4|from sqlite3 import Connection\\n     5|\\n     6|from jarvis_finance.config.settings import ensure_runtime_dirs, find_repo_root, load_settings\\n     7|from jarvis_finance.dashboard.demo_data import load_synthetic_demo_data\\n     8|from jarvis_finance.dashboard.pages import PAGES\\n     9|from jarvis_finance.storage.database import connect\\n    10|from jarvis_finance.storage.migrations import apply_migrations\\n    11|\\n    12|\\n    13|def safe_connect_existing_db(db_path: Path) -> Connection | None:\\n    14|    if not db_path.exists():\\n    15|        return None\\n    16|    conn = connect(db_path)\\n    17|    apply_migrations(conn)\\n    18|    return conn\\n    19|\\n    20|\\n    21|def create_demo_db(db_path: Path) -> None:\\n    22|    db_path.parent.mkdir(parents=True, exist_ok=True)\\n    23|    conn = connect(db_path)\\n    24|    try:\\n    25|        load_synthetic_demo_data(conn)\\n    26|    finally:\\n    27|        conn.close()\\n    28|\\n    29|\\n    30|def run_app() -> None:\\n    31|    import streamlit as st\\n    32|\\n    33|    st.set_page_config(page_title=\\\"JARVIS Finance MVP\\\", layout=\\\"wide\\\")\\n    34|    st.sidebar.title(\\\"JARVIS Finance\\\")\\n    35|    st.sidebar.caption(\\\"MVP: lokal, synthetisch, read-first\\\")\\n    36|\\n    37|    try:\\n    38|        repo_root = find_repo_root()\\n    39|        settings = load_settings(repo_root=repo_root)\\n    40|    except Exception as exc:\\n    41|        st.error(f\\\"Settings-/Runtime-Ladeprüfung fehlgeschlagen: {exc}\\\")\\n    42|        st.info(\\\"Prüfe JARVIS_FINANCE_RUNTIME_DIR. Runtime muss ausserhalb des Repos liegen.\\\")\\n    43|        return\\n    44|\\n    45|    ensure_runtime_dirs(settings)\\n    46|    db_path = settings.db_path\\n    47|    conn = safe_connect_existing_db(db_path)\\n    48|\\n    49|    if conn is None:\\n    50|        st.title(\\\"JARVIS Finance Dashboard\\\")\\n    51|        st.error(f\\\"Keine lokale SQLite-DB gefunden: {db_path}\\\")\\n    52|        st.info(\\\"Das Dashboard erstellt oder verändert keine echte Datenbank automatisch.\\\")\\n    53|        st.caption(\\\"Für lokale Entwicklung kann explizit eine synthetische Dummy-DB aus tests/fixtures geladen werden.\\\")\\n    54|        if st.button(\\\"Synthetische Dummy-DB jetzt erstellen\\\", type=\\\"primary\\\"):\\n    55|            create_demo_db(db_path)\\n    56|            st.success(\\\"Synthetische Dummy-DB erstellt. Bitte Seite neu laden.\\\")\\n    57|        return\\n    58|\\n    59|    try:\\n    60|        page_names = [page.PAGE_TITLE for page in PAGES]\\n    61|        selected = st.sidebar.radio(\\\"Navigation\\\", page_names, index=0)\\n    62|        st.sidebar.write(f\\\"DB: `{db_path}`\\\")\\n    63|        st.sidebar.warning(\\\"Keine Live-API-Abfragen beim Seitenreload. Preise nur aus lokaler DB/Cache.\\\")\\n    64|        page = PAGES[page_names.index(selected)]\\n    65|        page.render(st, conn)\\n    66|    finally:\\n    67|        conn.close()\\n    68|\\n    69|\\n    70|if __name__ == \\\"__main__\\\":\\n    71|    run_app()\\n    72|\", \"total_lines\": 71, \"file_size\": 2473, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_s4HrRL9NjNiNs5lOJmtHD76M"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from . import page_00_command_center\\n     4|from . import page_01_portfolio\\n     5|from . import page_02_platforms\\n     6|from . import page_03_equities_etfs\\n     7|from . import page_04_crypto\\n     8|from . import page_05_wallets\\n     9|from . import page_06_ledger\\n    10|from . import page_07_watchlist\\n    11|from . import page_08_reports\\n    12|from . import page_09_alerts\\n    13|from . import page_10_audit\\n    14|from . import page_11_settings_data_quality\\n    15|from . import page_12_crypto_manage\\n    16|from . import page_13_equity_manage\\n    17|\\n    18|PAGES = [\\n    19|    page_00_command_center,\\n    20|    page_01_portfolio,\\n    21|    page_02_platforms,\\n    22|    page_03_equities_etfs,\\n    23|    page_04_crypto,\\n    24|    page_05_wallets,\\n    25|    page_06_ledger,\\n    26|    page_07_watchlist,\\n    27|    page_08_reports,\\n    28|    page_09_alerts,\\n    29|    page_10_audit,\\n    30|    page_11_settings_data_quality,\\n    31|    page_12_crypto_manage,\\n    32|    page_13_equity_manage,\\n    33|]\\n    34|\", \"total_lines\": 33, \"file_size\": 843, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_JgFd6kO3GdhidDAUBgznNnVH"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from jarvis_finance.dashboard.components.tables import show_table\\n     4|from jarvis_finance.dashboard import data\\n     5|\\n     6|from pathlib import Path\\n     7|\\n     8|from jarvis_finance.config.settings import find_repo_root, load_settings\\n     9|\\n    10|PAGE_TITLE = \\\"Settings/Data Quality\\\"\\n    11|\\n    12|def render(st, conn) -> None:\\n    13|    st.title(\\\"Settings / Data Quality\\\")\\n    14|    try:\\n    15|        settings = load_settings()\\n    16|        repo_root = find_repo_root()\\n    17|        runtime_ok = data.runtime_outside_repo(settings, repo_root)\\n    18|        rows = [\\n    19|            {\\\"setting\\\": \\\"Runtime-Pfad\\\", \\\"value\\\": str(settings.runtime_paths.base_dir)},\\n    20|            {\\\"setting\\\": \\\"DB-Pfad\\\", \\\"value\\\": str(settings.db_path)},\\n    21|            {\\\"setting\\\": \\\"Runtime ausserhalb Repo\\\", \\\"value\\\": str(runtime_ok)},\\n    22|            {\\\"setting\\\": \\\"Basiswährung\\\", \\\"value\\\": settings.base_currency},\\n    23|        ]\\n    24|        show_table(st, rows)\\n    25|    except Exception as exc:\\n    26|        st.error(f\\\"Settings-Fehler: {exc}\\\")\\n    27|    st.subheader(\\\"Data Quality\\\")\\n    28|    show_table(st, data.get_data_quality(conn))\\n    29|\", \"total_lines\": 28, \"file_size\": 1021, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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            "name": "read_file",
            "arguments": "{\"limit\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}"
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    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import json\\n     4|from decimal import Decimal, InvalidOperation, ROUND_HALF_UP\\n     5|from pathlib import Path\\n     6|from sqlite3 import Connection\\n     7|\\n     8|from jarvis_finance.config.settings import Settings\\n     9|from jarvis_finance.crypto.holdings import calculate_crypto_holdings\\n    10|from jarvis_finance.ledger.cash import calculate_cash_balances\\n    11|from jarvis_finance.ledger.positions import calculate_positions\\n    12|from jarvis_finance.market.providers import is_price_stale\\n    13|\\n    14|MONEY = Decimal(\\\"0.01\\\")\\n    15|\\n    16|\\n    17|def d(value: object, default: str = \\\"0\\\") -> Decimal:\\n    18|    if value is None or str(value).strip() == \\\"\\\":\\n    19|        return Decimal(default)\\n    20|    try:\\n    21|        return Decimal(str(value))\\n    22|    except InvalidOperation:\\n    23|        return Decimal(default)\\n    24|\\n    25|\\n    26|def dec_text(value: Decimal | int | str | None, places: str | None = None) -> str:\\n    27|    if value is None:\\n    28|        return \\\"\\\"\\n    29|    value = d(value)\\n    30|    if places:\\n    31|        value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n    32|    return format(value, \\\"f\\\")\\n    33|\\n    34|\\n    35|def money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n    36|    if value is None:\\n    37|        return f\\\"n/a {currency}\\\"\\n    38|    return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n    39|\\n    40|\\n    41|def rowdicts(rows) -> list[dict[str, str]]:\\n    42|    return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n    43|\\n    44|\\n    45|def db_exists(path: str | Path) -> bool:\\n    46|    return Path(path).expanduser().exists()\\n    47|\\n    48|\\n    49|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n    50|    try:\\n    51|        settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n    52|        return False\\n    53|    except ValueError:\\n    54|        return True\\n    55|\\n    56|\\n    57|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:\\n    58|    row = conn.execute(\\n    59|        \\\"\\\"\\\"\\n    60|        SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider\\n    61|        FROM crypto_prices\\n    62|        WHERE asset_id=? AND price_currency=?\\n    63|        ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1\\n    64|        \\\"\\\"\\\",\\n    65|        (asset_id, currency.upper()),\\n    66|    ).fetchone()\\n    67|    if not row:\\n    68|        return None\\n    69|    item = dict(row)\\n    70|    ts = item.get(\\\"provider_timestamp\\\") or item.get(\\\"fetched_at\\\")\\n    71|    if item.get(\\\"quality_status\\\") == \\\"fresh\\\" and is_price_stale(ts, max_age_seconds=max_age_seconds):\\n    72|        item[\\\"quality_status\\\"] = \\\"stale\\\"\\n    73|    return item\\n    74|\\n    75|\\n    76|def get_crypto_overview(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n    77|    holdings = calculate_crypto_holdings(conn)\\n    78|    rows: list[dict[str, str]] = []\\n    79|    for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n    80|        qty = holding.quantity\\n    81|        asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n    82|        if not asset:\\n    83|            continue\\n    84|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n    85|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n    86|        value = qty * price_dec if price_dec is not None else None\\n    87|        rows.append({\\n    88|            \\\"asset_id\\\": asset_id,\\n    89|            \\\"coin_name\\\": asset[\\\"coin_name\\\"],\\n    90|            \\\"symbol\\\": asset[\\\"symbol\\\"],\\n    91|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n    92|            \\\"quantity\\\": dec_text(qty),\\n    93|            \\\"latest_price_chf\\\": dec_text(price_dec, \\\"0.01\\\") if price_dec is not None else \\\"\\\",\\n    94|            \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n    95|            \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n    96|            \\\"fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n    97|        })\\n    98|    return rows\\n    99|\\n   100|\\n   101|def get_crypto_by_wallet(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n   102|    holdings = calculate_crypto_holdings(conn)\\n   103|    rows: list[dict[str, str]] = []\\n   104|    for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n   105|        wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n   106|        asset = conn.execute(\\\"SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n   107|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   108|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   109|        value = holding.quantity * price_dec if price_dec is not None else None\\n   110|        rows.append({\\n   111|            \\\"wallet_id\\\": wallet_id,\\n   112|            \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n   113|            \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n   114|            \\\"provider\\\": wallet[\\\"platform_provider\\\"] if wallet else \\\"\\\",\\n   115|            \\\"coin_name\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n   116|            \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n   117|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] if asset else \\\"\\\",\\n   118|            \\\"quantity\\\": dec_text(holding.quantity),\\n   119|            \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n   120|            \\\"wallet_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n   121|            \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n   122|            \\\"price_fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n   123|            \\\"verification_status\\\": holding.verification_status,\\n   124|            \\\"last_verified_at\\\": holding.last_verified_at or \\\"\\\",\\n   125|        })\\n   126|    return rows\\n   127|\\n   128|\\n   129|def get_wallets(conn: Connection) -> list[dict[str, str]]:\\n   130|    return rowdicts(conn.execute(\\n   131|        \\\"\\\"\\\"\\n   132|        SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,\\n   133|               network_chain, last_verified_at, is_active, notes\\n   134|        FROM crypto_wallets ORDER BY wallet_name\\n   135|        \\\"\\\"\\\"\\n   136|    ).fetchall())\\n   137|\\n   138|\\n   139|def get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n   140|    return rowdicts(conn.execute(\\n   141|        \\\"\\\"\\\"\\n   142|        SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,\\n   143|               fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,\\n   144|               ct.amount_chf, ct.confirmation_status, ct.source\\n   145|        FROM crypto_transactions ct\\n   146|        LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id\\n   147|        LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id\\n   148|        LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id\\n   149|        ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?\\n   150|        \\\"\\\"\\\", (limit,)\\n   151|    ).fetchall())\\n   152|\\n   153|\\n   154|def get_platform_overview(conn: Connection) -> list[dict[str, str]]:\\n   155|    return rowdicts(conn.execute(\\n   156|        \\\"\\\"\\\"\\n   157|        SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,\\n   158|               a.performance_included, a.is_active\\n   159|        FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n   160|        ORDER BY p.name, a.account_name\\n   161|        \\\"\\\"\\\"\\n   162|    ).fetchall())\\n   163|\\n   164|\\n   165|def get_cash_overview(conn: Connection) -> list[dict[str, str]]:\\n   166|    result = calculate_cash_balances(conn)\\n   167|    rows: list[dict[str, str]] = []\\n   168|    for (account_id, currency), bal in sorted(result.balances.items()):\\n   169|        row = conn.execute(\\n   170|            \\\"SELECT a.account_name, p.name AS platform FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id WHERE a.account_id=?\\\",\\n   171|            (account_id,),\\n   172|        ).fetchone()\\n   173|        rows.append({\\n   174|            \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n   175|            \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n   176|            \\\"currency\\\": currency,\\n   177|            \\\"amount_original\\\": dec_text(bal.amount_original, \\\"0.01\\\"),\\n   178|            \\\"amount_chf\\\": dec_text(bal.amount_chf, \\\"0.01\\\") if bal.amount_chf is not None else \\\"\\\",\\n   179|            \\\"quality_status\\\": bal.quality_status,\\n   180|        })\\n   181|    return rows\\n   182|\\n   183|\\n   184|def get_positions(conn: Connection) -> list[dict[str, str]]:\\n   185|    result = calculate_positions(conn)\\n   186|    rows: list[dict[str, str]] = []\\n   187|    for (account_id, instrument_id), pos in sorted(result.positions.items()):\\n   188|        row = conn.execute(\\n   189|            \\\"\\\"\\\"\\n   190|            SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency\\n   191|            FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n   192|            JOIN instruments i ON i.instrument_id=? WHERE a.account_id=?\\n   193|            \\\"\\\"\\\",\\n   194|            (instrument_id, account_id),\\n   195|        ).fetchone()\\n   196|        rows.append({\\n   197|            \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n   198|            \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n   199|            \\\"asset_class\\\": row[\\\"asset_class\\\"] if row else \\\"\\\",\\n   200|            \\\"name\\\": row[\\\"name\\\"] if row else instrument_id,\\n   201|            \\\"ticker\\\": row[\\\"ticker\\\"] if row else \\\"\\\",\\n   202|            \\\"isin\\\": row[\\\"isin\\\"] if row else \\\"\\\",\\n   203|            \\\"quantity\\\": dec_text(pos.quantity),\\n   204|            \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n   205|            \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n   206|            \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n   207|            \\\"data_quality_status\\\": pos.data_quality_status,\\n   208|        })\\n   209|    return rows\\n   210|\\n   211|\\n   212|def get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   213|    return rowdicts(conn.execute(\\n   214|        \\\"\\\"\\\"\\n   215|        SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,\\n   216|               i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,\\n   217|               t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,\\n   218|               t.source_type, t.source_id\\n   219|        FROM transactions t\\n   220|        LEFT JOIN accounts a ON a.account_id=t.account_id\\n   221|        LEFT JOIN platforms p ON p.platform_id=a.platform_id\\n   222|        LEFT JOIN instruments i ON i.instrument_id=t.instrument_id\\n   223|        ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?\\n   224|        \\\"\\\"\\\", (limit,)\\n   225|    ).fetchall())\\n   226|\\n   227|\\n   228|def get_watchlist(conn: Connection) -> list[dict[str, str]]:\\n   229|    return rowdicts(conn.execute(\\\"SELECT name, asset_class, reason, status, target_entry_price, target_entry_currency, investment_case, bear_case, next_review_date FROM watchlist ORDER BY name\\\").fetchall())\\n   230|\\n   231|\\n   232|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n   233|    return rowdicts(conn.execute(\\n   234|        \\\"\\\"\\\"\\n   235|        SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n   236|               occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n   237|        FROM alerts\\n   238|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n   239|        \\\"\\\"\\\"\\n   240|    ).fetchall())\\n   241|\\n   242|\\n   243|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   244|    rows = conn.execute(\\n   245|        \\\"\\\"\\\"\\n   246|        SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n   247|               confirmed, created_by, quality_status\\n   248|        FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n   249|        \\\"\\\"\\\", (limit,)\\n   250|    ).fetchall()\\n   251|    out: list[dict[str, str]] = []\\n   252|    for row in rows:\\n   253|        item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n   254|        for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n   255|            if item[key]:\\n   256|                try:\\n   257|                    item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n   258|                except json.JSONDecodeError:\\n   259|                    pass\\n   260|        out.append(item)\\n   261|\", \"total_lines\": 292, \"file_size\": 13836, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 292 lines)\", \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|from pathlib import Path\\n     5|\\n     6|import pytest\\n     7|\\n     8|from jarvis_finance.config.settings import load_settings\\n     9|from jarvis_finance.dashboard import data as dashboard_data\\n    10|from jarvis_finance.dashboard.demo_data import load_synthetic_demo_data\\n    11|from jarvis_finance.dashboard.pages import (\\n    12|    page_00_command_center,\\n    13|    page_01_portfolio,\\n    14|    page_04_crypto,\\n    15|    page_05_wallets,\\n    16|    page_06_ledger,\\n    17|    page_09_alerts,\\n    18|    page_10_audit,\\n    19|    page_11_settings_data_quality,\\n    20|    page_12_crypto_manage,\\n    21|)\\n    22|from jarvis_finance.storage.database import connect_memory\\n    23|from jarvis_finance.storage.migrations import apply_migrations\\n    24|\\n    25|\\n    26|class FakeStreamlit:\\n    27|    def __init__(self) -> None:\\n    28|        self.calls: list[tuple[str, tuple[object, ...], dict[str, object]]] = []\\n    29|        self.sidebar = self\\n    30|\\n    31|    def __getattr__(self, name: str):\\n    32|        def recorder(*args, **kwargs):\\n    33|            self.calls.append((name, args, kwargs))\\n    34|            if name in {\\\"button\\\", \\\"checkbox\\\"}:\\n    35|                return False\\n    36|            if name in {\\\"selectbox\\\", \\\"radio\\\"}:\\n    37|                options = args[1] if len(args) > 1 else kwargs.get(\\\"options\\\", [])\\n    38|                return list(options)[0] if options else None\\n    39|            if name == \\\"tabs\\\":\\n    40|                return [self for _ in (args[0] if args else [])]\\n    41|            if name == \\\"columns\\\":\\n    42|                count = args[0] if args else 1\\n    43|                if isinstance(count, int):\\n    44|                    return [self for _ in range(count)]\\n    45|                return [self for _ in count]\\n    46|            return None\\n    47|        return recorder\\n    48|\\n    49|    def __enter__(self):\\n    50|        return self\\n    51|\\n    52|    def __exit__(self, *args):\\n    53|        return False\\n    54|\\n    55|\\n    56|def setup_demo_conn():\\n    57|    conn = connect_memory()\\n    58|    apply_migrations(conn)\\n    59|    load_synthetic_demo_data(conn)\\n    60|    return conn\\n    61|\\n    62|\\n    63|def test_dashboard_modules_import_and_page_render_smoke() -> None:\\n    64|    conn = setup_demo_conn()\\n    65|    st = FakeStreamlit()\\n    66|    for module in [\\n    67|        page_00_command_center,\\n    68|        page_01_portfolio,\\n    69|        page_04_crypto,\\n    70|        page_05_wallets,\\n    71|        page_06_ledger,\\n    72|        page_09_alerts,\\n    73|        page_10_audit,\\n    74|        page_11_settings_data_quality,\\n    75|        page_12_crypto_manage,\\n    76|    ]:\\n    77|        module.render(st, conn)\\n    78|    assert any(call[0] in {\\\"title\\\", \\\"header\\\", \\\"subheader\\\"} for call in st.calls)\\n    79|\\n    80|\\n    81|def test_dashboard_reader_functions_return_expected_dummy_data() -> None:\\n    82|    conn = setup_demo_conn()\\n    83|    summary = dashboard_data.get_command_center_summary(conn)\\n    84|    assert summary[\\\"base_currency\\\"] == \\\"CHF\\\"\\n    85|    assert Decimal(summary[\\\"cash_total_chf\\\"]) > Decimal(\\\"0\\\")\\n    86|    assert Decimal(summary[\\\"crypto_total_chf\\\"]) > Decimal(\\\"0\\\")\\n    87|    assert dashboard_data.get_platform_overview(conn)\\n    88|    assert dashboard_data.get_ledger_transactions(conn)\\n    89|    assert dashboard_data.get_audit_events(conn)\\n    90|\\n    91|\\n    92|def test_crypto_dashboard_reads_cached_db_prices_without_api_calls(monkeypatch: pytest.MonkeyPatch) -> None:\\n    93|    def explode(*args, **kwargs):\\n    94|        raise AssertionError(\\\"dashboard must not call CoinGecko/API provider on render\\\")\\n    95|\\n    96|    monkeypatch.setattr(\\\"jarvis_finance.market.providers.CoinGeckoClient.get_crypto_price\\\", explode)\\n    97|    conn = setup_demo_conn()\\n    98|    st = FakeStreamlit()\\n    99|    page_04_crypto.render(st, conn)\\n   100|    rows = dashboard_data.get_crypto_overview(conn)\\n   101|    assert rows\\n   102|    assert any(row[\\\"latest_price_chf\\\"] for row in rows)\\n   103|\\n   104|\\n   105|def test_dashboard_preserves_decimal_crypto_quantity_format() -> None:\\n   106|    conn = setup_demo_conn()\\n   107|    wallet_rows = dashboard_data.get_crypto_by_wallet(conn)\\n   108|    quantities = {row[\\\"quantity\\\"] for row in wallet_rows}\\n   109|    assert \\\"0.0899\\\" in quantities\\n   110|    for row in wallet_rows:\\n   111|        assert \\\"E\\\" not in row[\\\"quantity\\\"].upper()\\n   112|\\n   113|\\n   114|def test_alert_lifecycle_data_loaded_readably() -> None:\\n   115|    conn = setup_demo_conn()\\n   116|    alerts = dashboard_data.get_alerts(conn)\\n   117|    assert alerts\\n   118|    assert {\\\"status\\\", \\\"priority\\\", \\\"occurrence_count\\\", \\\"last_seen_at\\\", \\\"fingerprint\\\", \\\"dedup_key\\\"} <= set(alerts[0])\\n   119|\\n   120|\\n   121|def test_dashboard_runtime_path_inside_repo_remains_blocked(tmp_path: Path) -> None:\\n   122|    repo = tmp_path / \\\"repo\\\"\\n   123|    repo.mkdir()\\n   124|    (repo / \\\"pyproject.toml\\\").write_text(\\\"[project]\\\\nname='demo'\\\\n\\\")\\n   125|    with pytest.raises(ValueError, match=\\\"Runtime directory must be outside\\\"):\\n   126|        load_settings(repo_root=repo, environ={\\\"JARVIS_FINANCE_RUNTIME_DIR\\\": str(repo / \\\"runtime\\\")})\\n   127|\", \"total_lines\": 126, \"file_size\": 4373, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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          "id": "rs_0c76e56576ffc0fb016a06dd40992081919c9be35621eb6831",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Fixing import issues**\n\nI need to ensure that I'm importing smoke properly. The REQUIRED_TABLES schema doesn't need any special patches, which is a relief. I should set the migration version to 4 and provide a name for it. To patch everything smoothly, I think I might find that using execute_code is a better approach. It could simplify the process, making it easier for me to keep everything on track. I'll stay focused on making this work!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_mWZVx4hr79YXyuAJQOzNPBIW",
          "call_id": "call_mWZVx4hr79YXyuAJQOzNPBIW",
          "response_item_id": "fc_0c76e56576ffc0fb016a06dd48e70c8191861c4b8943200ac1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py')\\ns=p.read_text()\\ns=s.replace('MIGRATION_VERSION = 3\\\\nMIGRATION_NAME = \\\"003_broker_bank_mapping_foundation\\\"','MIGRATION_VERSION = 4\\\\nMIGRATION_NAME = \\\"004_import_wizard_mapping_layer\\\"')\\nold='''def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\\\n    conn.executescript(\\\\n        \\\"\\\"\\\"\\\\n        CREATE TABLE IF NOT EXISTS instrument_mappings (\\\\n            mapping_id TEXT PRIMARY KEY,\\\\n            source_name TEXT NOT NULL,\\\\n            source_instrument_name TEXT,\\\\n            source_isin TEXT,\\\\n            source_ticker TEXT,\\\\n            source_exchange TEXT,\\\\n            source_currency TEXT,\\\\n            instrument_id TEXT REFERENCES instruments(instrument_id),\\\\n            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\\\n            quality_flags_json TEXT,\\\\n            notes TEXT,\\\\n            created_at TEXT NOT NULL,\\\\n            updated_at TEXT,\\\\n            UNIQUE(source_name, source_isin, source_ticker, source_instrument_name, source_currency)\\\\n        );\\\\n\\\\n        CREATE TABLE IF NOT EXISTS platform_account_mappings (\\\\n            mapping_id TEXT PRIMARY KEY,\\\\n            source_name TEXT NOT NULL,\\\\n            source_platform_label TEXT,\\\\n            source_account_label TEXT,\\\\n            source_account_type TEXT,\\\\n            source_currency TEXT,\\\\n            platform_id TEXT REFERENCES platforms(platform_id),\\\\n            account_id TEXT REFERENCES accounts(account_id),\\\\n            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\\\n            quality_flags_json TEXT,\\\\n            notes TEXT,\\\\n            created_at TEXT NOT NULL,\\\\n            updated_at TEXT,\\\\n            UNIQUE(source_name, source_platform_label, source_account_label, source_currency)\\\\n        );\\\\n\\\\n        CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\\\n            dry_run_id TEXT PRIMARY KEY,\\\\n            source_name TEXT NOT NULL,\\\\n            source_file_label TEXT NOT NULL,\\\\n            source_file_type TEXT NOT NULL,\\\\n            source_hash TEXT,\\\\n            detected_sections_json TEXT NOT NULL,\\\\n            field_coverage_json TEXT NOT NULL,\\\\n            quality_flags_json TEXT NOT NULL,\\\\n            rows_total INTEGER NOT NULL DEFAULT 0,\\\\n            rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\\\n            rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\\\n            created_at TEXT NOT NULL,\\\\n            notes TEXT\\\\n        );\\\\n        \\\"\\\"\\\"\\\\n    )\\\\n'''\\nnew='''def _add_missing_columns(conn: Connection, table: str, columns: dict[str, str]) -> None:\\\\n    existing = _table_columns(conn, table)\\\\n    for name, col_type in columns.items():\\\\n        if name not in existing:\\\\n            conn.execute(f\\\"ALTER TABLE {table} ADD COLUMN {name} {col_type}\\\")\\\\n\\\\n\\\\ndef _create_broker_bank_mapping_tables(conn: Connection) -> None:\\\\n    conn.executescript(\\\\n        \\\"\\\"\\\"\\\\n        CREATE TABLE IF NOT EXISTS instrument_mappings (\\\\n            mapping_id TEXT PRIMARY KEY,\\\\n            source_name TEXT,\\\\n            source_platform TEXT NOT NULL,\\\\n            source_account TEXT,\\\\n            source_label TEXT NOT NULL,\\\\n            normalized_name TEXT NOT NULL,\\\\n            isin TEXT,\\\\n            ticker TEXT,\\\\n            exchange TEXT,\\\\n            currency TEXT,\\\\n            asset_class TEXT NOT NULL DEFAULT 'other',\\\\n            source_instrument_name TEXT,\\\\n            source_isin TEXT,\\\\n            source_ticker TEXT,\\\\n            source_exchange TEXT,\\\\n            source_currency TEXT,\\\\n            instrument_id TEXT REFERENCES instruments(instrument_id),\\\\n            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\\\n            confidence TEXT NOT NULL DEFAULT '0',\\\\n            quality_flags_json TEXT,\\\\n            notes TEXT,\\\\n            created_at TEXT NOT NULL,\\\\n            updated_at TEXT\\\\n        );\\\\n\\\\n        CREATE TABLE IF NOT EXISTS platform_account_mappings (\\\\n            mapping_id TEXT PRIMARY KEY,\\\\n            source_name TEXT,\\\\n            source_platform TEXT NOT NULL,\\\\n            source_platform_label TEXT,\\\\n            source_account_label TEXT NOT NULL,\\\\n            normalized_platform TEXT NOT NULL,\\\\n            normalized_account_name TEXT NOT NULL,\\\\n            source_account_type TEXT,\\\\n            account_type TEXT NOT NULL DEFAULT 'other',\\\\n            source_currency TEXT,\\\\n            currency TEXT,\\\\n            platform_id TEXT REFERENCES platforms(platform_id),\\\\n            account_id TEXT REFERENCES accounts(account_id),\\\\n            internal_platform_id TEXT REFERENCES platforms(platform_id),\\\\n            internal_account_id TEXT REFERENCES accounts(account_id),\\\\n            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\\\n            quality_flags_json TEXT,\\\\n            notes TEXT,\\\\n            created_at TEXT NOT NULL,\\\\n            updated_at TEXT\\\\n        );\\\\n\\\\n        CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\\\n            dry_run_id TEXT PRIMARY KEY,\\\\n            source_name TEXT,\\\\n            source_platform TEXT NOT NULL,\\\\n            source_file_label TEXT,\\\\n            source_file_type TEXT NOT NULL,\\\\n            source_hash TEXT,\\\\n            source_filename_hash TEXT,\\\\n            detected_snapshot_date TEXT,\\\\n            snapshot_date_status TEXT NOT NULL DEFAULT 'missing',\\\\n            detected_sections_json TEXT NOT NULL,\\\\n            field_coverage_json TEXT,\\\\n            rows_total INTEGER NOT NULL DEFAULT 0,\\\\n            rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\\\n            rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\\\n            candidate_positions INTEGER NOT NULL DEFAULT 0,\\\\n            candidate_cash_rows INTEGER NOT NULL DEFAULT 0,\\\\n            mapped_positions INTEGER NOT NULL DEFAULT 0,\\\\n            blocked_positions INTEGER NOT NULL DEFAULT 0,\\\\n            warnings_count INTEGER NOT NULL DEFAULT 0,\\\\n            errors_count INTEGER NOT NULL DEFAULT 0,\\\\n            quality_flags_json TEXT NOT NULL,\\\\n            summary_json TEXT NOT NULL DEFAULT '{}',\\\\n            created_at TEXT NOT NULL,\\\\n            notes TEXT\\\\n        );\\\\n        \\\"\\\"\\\"\\\\n    )\\\\n    _add_missing_columns(conn, \\\"instrument_mappings\\\", {\\\\n        \\\"source_name\\\": \\\"TEXT\\\",\\\\n        \\\"source_platform\\\": \\\"TEXT\\\",\\\\n        \\\"source_account\\\": \\\"TEXT\\\",\\\\n        \\\"source_label\\\": \\\"TEXT\\\",\\\\n        \\\"normalized_name\\\": \\\"TEXT\\\",\\\\n        \\\"isin\\\": \\\"TEXT\\\",\\\\n        \\\"ticker\\\": \\\"TEXT\\\",\\\\n        \\\"exchange\\\": \\\"TEXT\\\",\\\\n        \\\"currency\\\": \\\"TEXT\\\",\\\\n        \\\"asset_class\\\": \\\"TEXT DEFAULT 'other'\\\",\\\\n        \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\\\n    })\\\\n    _add_missing_columns(conn, \\\"platform_account_mappings\\\", {\\\\n        \\\"source_platform\\\": \\\"TEXT\\\",\\\\n        \\\"normalized_platform\\\": \\\"TEXT\\\",\\\\n        \\\"normalized_account_name\\\": \\\"TEXT\\\",\\\\n        \\\"account_type\\\": \\\"TEXT DEFAULT 'other'\\\",\\\\n        \\\"currency\\\": \\\"TEXT\\\",\\\\n        \\\"internal_platform_id\\\": \\\"TEXT\\\",\\\\n        \\\"internal_account_id\\\": \\\"TEXT\\\",\\\\n    })\\\\n    _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\\\n        \\\"source_platform\\\": \\\"TEXT\\\",\\\\n        \\\"source_filename_hash\\\": \\\"TEXT\\\",\\\\n        \\\"detected_snapshot_date\\\": \\\"TEXT\\\",\\\\n        \\\"snapshot_date_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\\\n        \\\"candidate_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n        \\\"candidate_cash_rows\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n        \\\"mapped_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n        \\\"blocked_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n        \\\"warnings_count\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n        \\\"errors_count\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n        \\\"summary_json\\\": \\\"TEXT DEFAULT '{}'\\\",\\\\n    })\\\\n'''\\nif old not in s:\\n    raise SystemExit('old block not found')\\np.write_text(s.replace(old,new))\\nprint('patched migrations')\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"patched migrations\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}",
      "tool_call_id": "call_mWZVx4hr79YXyuAJQOzNPBIW"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_X0P9K1zlMdBh35InzsOQmsVw",
          "call_id": "call_X0P9K1zlMdBh35InzsOQmsVw",
          "response_item_id": "fc_0c76e56576ffc0fb016a06dd6e037881919cde0cd683ffe24d",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\",\"content\":\"from __future__ import annotations\\n\\nimport hashlib\\nimport json\\nimport re\\nimport uuid\\nfrom dataclasses import dataclass\\nfrom datetime import datetime, timezone\\nfrom pathlib import Path\\nfrom sqlite3 import Connection\\nfrom typing import Any\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\n\\nSOURCE_PLATFORMS = {\\\"PostFinance\\\", \\\"True Wealth\\\", \\\"Raiffeisen\\\", \\\"Manuell / Sonstige\\\"}\\nACCOUNT_TYPES = {\\\"brokerage\\\", \\\"cash\\\", \\\"robo_portfolio\\\", \\\"reserve\\\", \\\"other\\\"}\\nASSET_CLASSES = {\\\"equity\\\", \\\"etf\\\", \\\"cash\\\", \\\"other\\\"}\\nREVIEW_STATUSES = {\\\"needs_manual_review\\\", \\\"missing_isin\\\", \\\"missing_ticker\\\", \\\"ambiguous\\\"}\\n\\n\\ndef utc_now() -> str:\\n    return datetime.now(timezone.utc).isoformat()\\n\\n\\ndef normalize_name(value: str | None) -> str:\\n    text = (value or \\\"\\\").strip().lower()\\n    text = re.sub(r\\\"[^a-z0-9äöüéèàç]+\\\", \\\" \\\", text, flags=re.IGNORECASE)\\n    return re.sub(r\\\"\\\\s+\\\", \\\" \\\", text).strip()\\n\\n\\ndef _json(data: dict[str, Any] | list[Any] | None) -> str:\\n    return json.dumps(data or {}, ensure_ascii=False, sort_keys=True)\\n\\n\\ndef _hash_label(value: str | bytes | Path) -> str:\\n    if isinstance(value, Path):\\n        return hashlib.sha256(value.read_bytes()).hexdigest()\\n    if isinstance(value, bytes):\\n        return hashlib.sha256(value).hexdigest()\\n    return hashlib.sha256(str(value).encode(\\\"utf-8\\\")).hexdigest()\\n\\n\\ndef _first_matching_instrument(conn: Connection, *, isin: str | None, ticker: str | None, exchange: str | None, currency: str | None) -> str | None:\\n    if isin:\\n        row = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE upper(isin)=upper(?) AND is_active=1 ORDER BY created_at LIMIT 1\\\", (isin,)).fetchone()\\n        if row:\\n            return row[\\\"instrument_id\\\"]\\n    if ticker and exchange:\\n        row = conn.execute(\\n            \\\"\\\"\\\"\\n            SELECT instrument_id FROM instruments\\n            WHERE upper(ticker)=upper(?) AND upper(COALESCE(exchange,''))=upper(?)\\n              AND (? IS NULL OR upper(currency)=upper(?)) AND is_active=1\\n            ORDER BY created_at LIMIT 1\\n            \\\"\\\"\\\",\\n            (ticker, exchange, currency, currency),\\n        ).fetchone()\\n        if row:\\n            return row[\\\"instrument_id\\\"]\\n    return None\\n\\n\\ndef classify_instrument_mapping(\\n    conn: Connection,\\n    *,\\n    asset_class: str,\\n    source_label: str,\\n    isin: str | None = None,\\n    ticker: str | None = None,\\n    exchange: str | None = None,\\n    currency: str | None = None,\\n) -> tuple[str, str, str | None, list[str]]:\\n    flags: list[str] = []\\n    asset = asset_class if asset_class in ASSET_CLASSES else \\\"other\\\"\\n    instrument_id = _first_matching_instrument(conn, isin=isin, ticker=ticker, exchange=exchange, currency=currency)\\n    if asset == \\\"cash\\\":\\n        return \\\"mapped\\\", \\\"0.90\\\", instrument_id, flags\\n    if asset in {\\\"equity\\\", \\\"etf\\\"}:\\n        if isin and instrument_id:\\n            return \\\"mapped\\\", \\\"0.98\\\", instrument_id, flags\\n        if isin and not instrument_id:\\n            flags.append(\\\"needs_manual_review\\\")\\n            return \\\"needs_manual_review\\\", \\\"0.60\\\", None, flags\\n        flags.append(\\\"missing_isin\\\")\\n        if ticker and exchange and instrument_id:\\n            flags.append(\\\"ticker_exchange_fallback_requires_review\\\")\\n            return \\\"needs_manual_review\\\", \\\"0.75\\\", instrument_id, flags\\n        if not ticker:\\n            flags.append(\\\"missing_ticker\\\")\\n        if source_label and not ticker:\\n            flags.append(\\\"name_only_not_auto_mapped\\\")\\n        return \\\"needs_manual_review\\\", \\\"0.20\\\", None, flags\\n    if not isin and not ticker:\\n        flags.append(\\\"name_only_not_auto_mapped\\\")\\n        return \\\"needs_manual_review\\\", \\\"0.10\\\", None, flags\\n    return \\\"needs_manual_review\\\", \\\"0.40\\\", instrument_id, flags\\n\\n\\ndef create_instrument_mapping(\\n    conn: Connection,\\n    *,\\n    source_platform: str,\\n    source_label: str,\\n    asset_class: str = \\\"other\\\",\\n    source_account: str | None = None,\\n    isin: str | None = None,\\n    ticker: str | None = None,\\n    exchange: str | None = None,\\n    currency: str | None = None,\\n    notes: str | None = None,\\n) -> dict[str, Any]:\\n    normalized = normalize_name(source_label)\\n    status, confidence, instrument_id, flags = classify_instrument_mapping(\\n        conn,\\n        asset_class=asset_class,\\n        source_label=source_label,\\n        isin=isin,\\n        ticker=ticker,\\n        exchange=exchange,\\n        currency=currency,\\n    )\\n    mapping_id = str(uuid.uuid4())\\n    now = utc_now()\\n    conn.execute(\\n        \\\"\\\"\\\"\\n        INSERT INTO instrument_mappings(\\n            mapping_id, source_name, source_platform, source_account, source_label, normalized_name,\\n            isin, ticker, exchange, currency, asset_class, source_instrument_name,\\n            source_isin, source_ticker, source_exchange, source_currency, instrument_id,\\n            mapping_status, confidence, quality_flags_json, notes, created_at, updated_at\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        \\\"\\\"\\\",\\n        (\\n            mapping_id, source_platform, source_platform, source_account, source_label, normalized,\\n            isin, ticker, exchange, currency, asset_class, source_label,\\n            isin, ticker, exchange, currency, instrument_id,\\n            status, confidence, _json(flags), notes, now, now,\\n        ),\\n    )\\n    return {\\\"mapping_id\\\": mapping_id, \\\"mapping_status\\\": status, \\\"confidence\\\": confidence, \\\"instrument_id\\\": instrument_id, \\\"quality_flags\\\": flags}\\n\\n\\ndef confirm_instrument_mapping(\\n    conn: Connection,\\n    *,\\n    mapping_id: str,\\n    instrument_id: str,\\n    note: str,\\n    created_by: str = \\\"manual_review\\\",\\n) -> str:\\n    if not note or not note.strip():\\n        raise ValueError(\\\"Manual mapping confirmation requires a note\\\")\\n    row = conn.execute(\\\"SELECT * FROM instrument_mappings WHERE mapping_id=?\\\", (mapping_id,)).fetchone()\\n    if not row:\\n        raise ValueError(\\\"instrument mapping not found\\\")\\n    old = dict(row)\\n    now = utc_now()\\n    conn.execute(\\n        \\\"UPDATE instrument_mappings SET instrument_id=?, mapping_status='mapped', confidence='1.00', notes=?, updated_at=? WHERE mapping_id=?\\\",\\n        (instrument_id, note, now, mapping_id),\\n    )\\n    audit_id = record_audit_event(\\n        conn,\\n        source=\\\"manual_review_queue\\\",\\n        action=\\\"confirm_instrument_mapping\\\",\\n        entity_type=\\\"instrument_mapping\\\",\\n        entity_id=mapping_id,\\n        old_values={\\\"mapping_status\\\": old.get(\\\"mapping_status\\\"), \\\"instrument_id\\\": old.get(\\\"instrument_id\\\")},\\n        new_values={\\\"mapping_status\\\": \\\"mapped\\\", \\\"instrument_id\\\": instrument_id},\\n        user_text_note=note,\\n        confirmed=True,\\n        created_by=created_by,\\n    )\\n    return audit_id\\n\\n\\ndef create_platform_account_mapping(\\n    conn: Connection,\\n    *,\\n    source_platform: str,\\n    source_account_label: str,\\n    account_type: str = \\\"other\\\",\\n    currency: str | None = None,\\n    internal_platform_id: str | None = None,\\n    internal_account_id: str | None = None,\\n    notes: str | None = None,\\n) -> dict[str, Any]:\\n    if source_platform not in SOURCE_PLATFORMS:\\n        raise ValueError(\\\"unsupported source_platform\\\")\\n    acct_type = account_type if account_type in ACCOUNT_TYPES else \\\"other\\\"\\n    flags: list[str] = []\\n    if source_platform == \\\"Raiffeisen\\\" and acct_type not in {\\\"cash\\\", \\\"reserve\\\", \\\"other\\\"}:\\n        flags.append(\\\"raiffeisen_instrument_detail_missing\\\")\\n        acct_type = \\\"cash\\\"\\n    status = \\\"mapped\\\" if internal_platform_id and internal_account_id else \\\"needs_manual_review\\\"\\n    mapping_id = str(uuid.uuid4())\\n    now = utc_now()\\n    conn.execute(\\n        \\\"\\\"\\\"\\n        INSERT INTO platform_account_mappings(\\n            mapping_id, source_name, source_platform, source_platform_label, source_account_label,\\n            normalized_platform, normalized_account_name, source_account_type, account_type,\\n            source_currency, currency, platform_id, account_id, internal_platform_id,\\n            internal_account_id, mapping_status, quality_flags_json, notes, created_at, updated_at\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        \\\"\\\"\\\",\\n        (\\n            mapping_id, source_platform, source_platform, source_platform, source_account_label,\\n            normalize_name(source_platform), normalize_name(source_account_label), acct_type, acct_type,\\n            currency, currency, internal_platform_id, internal_account_id, internal_platform_id,\\n            internal_account_id, status, _json(flags), notes, now, now,\\n        ),\\n    )\\n    return {\\\"mapping_id\\\": mapping_id, \\\"mapping_status\\\": status, \\\"account_type\\\": acct_type, \\\"quality_flags\\\": flags}\\n\\n\\n@dataclass(frozen=True)\\nclass DryRunInput:\\n    source_platform: str\\n    source_file_type: str\\n    source_filename: str\\n    detected_snapshot_date: str | None = None\\n    snapshot_date_status: str = \\\"missing\\\"\\n    rows_total: int = 0\\n    candidate_positions: int = 0\\n    candidate_cash_rows: int = 0\\n    mapped_positions: int = 0\\n    blocked_positions: int = 0\\n    warnings_count: int = 0\\n    errors_count: int = 0\\n    quality_flags: dict[str, int] | None = None\\n    summary: dict[str, Any] | None = None\\n    detected_sections: list[str] | None = None\\n\\n\\ndef create_broker_import_dry_run(conn: Connection, item: DryRunInput) -> str:\\n    dry_run_id = str(uuid.uuid4())\\n    now = utc_now()\\n    source_hash = _hash_label(item.source_filename)\\n    summary = dict(item.summary or {})\\n    summary.pop(\\\"rows\\\", None)  # explicit guard: no raw rows in persisted summary\\n    summary.pop(\\\"values\\\", None)\\n    conn.execute(\\n        \\\"\\\"\\\"\\n        INSERT INTO broker_import_dry_runs(\\n            dry_run_id, source_name, source_platform, source_file_label, source_file_type,\\n            source_hash, source_filename_hash, detected_snapshot_date, snapshot_date_status,\\n            detected_sections_json, field_coverage_json, rows_total, rows_position_candidates,\\n            rows_cash_candidates, candidate_positions, candidate_cash_rows, mapped_positions,\\n            blocked_positions, warnings_count, errors_count, quality_flags_json, summary_json,\\n            created_at, notes\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        \\\"\\\"\\\",\\n        (\\n            dry_run_id, item.source_platform, item.source_platform, \\\"[runtime-file-redacted]\\\", item.source_file_type,\\n            source_hash, source_hash, item.detected_snapshot_date, item.snapshot_date_status,\\n            _json(item.detected_sections or []), _json({}), item.rows_total, item.candidate_positions,\\n            item.candidate_cash_rows, item.candidate_positions, item.candidate_cash_rows, item.mapped_positions,\\n            item.blocked_positions, item.warnings_count, item.errors_count, _json(item.quality_flags or {}),\\n            _json(summary), now, \\\"dry-run summary only; no productive ledger writes\\\",\\n        ),\\n    )\\n    return dry_run_id\\n\\n\\ndef get_manual_review_queue(conn: Connection) -> list[dict[str, str]]:\\n    rows: list[dict[str, str]] = []\\n    for row in conn.execute(\\n        \\\"\\\"\\\"\\n        SELECT 'instrument_mapping' AS item_type, mapping_id AS item_id, source_platform,\\n               source_account AS account_label, source_label AS label, mapping_status,\\n               quality_flags_json, notes, created_at\\n        FROM instrument_mappings\\n        WHERE mapping_status IN ('needs_manual_review','missing_isin','missing_ticker','ambiguous')\\n        UNION ALL\\n        SELECT 'platform_account_mapping' AS item_type, mapping_id AS item_id, source_platform,\\n               source_account_label AS account_label, source_account_label AS label, mapping_status,\\n               quality_flags_json, notes, created_at\\n        FROM platform_account_mappings\\n        WHERE mapping_status IN ('needs_manual_review','missing_isin','missing_ticker','ambiguous')\\n        ORDER BY created_at DESC\\n        \\\"\\\"\\\"\\n    ).fetchall():\\n        rows.append({k: \\\"\\\" if row[k] is None else str(row[k]) for k in row.keys()})\\n    return rows\\n\\n\\ndef build_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n    last = conn.execute(\\\"SELECT * FROM broker_import_dry_runs ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n    pending = len(get_manual_review_queue(conn))\\n    return {\\n        \\\"mode\\\": \\\"read-only\\\",\\n        \\\"productive_import_enabled\\\": \\\"false\\\",\\n        \\\"pending_review_items\\\": str(pending),\\n        \\\"last_dry_run_source\\\": last[\\\"source_platform\\\"] if last else \\\"\\\",\\n        \\\"last_dry_run_status\\\": last[\\\"snapshot_date_status\\\"] if last else \\\"none\\\",\\n    }\\n\\n\\ndef assert_write_enabled(*, write_enabled: bool) -> None:\\n    if not write_enabled:\\n        raise PermissionError(\\\"Import commit is blocked in read-only mode\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"bytes_written\": 12537, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_X0P9K1zlMdBh35InzsOQmsVw"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_oSwuqozwBqz4kN2ZyTY3qcvR",
          "call_id": "call_oSwuqozwBqz4kN2ZyTY3qcvR",
          "response_item_id": "fc_0c76e56576ffc0fb016a06ddc97f1c81919199869fe97c0591",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py')\\ns=p.read_text()\\ninsert='''\\\\n\\\\ndef get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\\\n    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\\\n\\\\n    return build_import_wizard_summary(conn)\\\\n\\\\n\\\\ndef get_manual_review_items(conn: Connection) -> list[dict[str, str]]:\\\\n    from jarvis_finance.imports.broker_mapping import get_manual_review_queue\\\\n\\\\n    return get_manual_review_queue(conn)\\\\n\\\\n\\\\ndef get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\\\n    return rowdicts(conn.execute(\\\\n        \\\"\\\"\\\"\\\\n        SELECT source_platform, source_file_type, detected_snapshot_date, snapshot_date_status,\\\\n               rows_total, candidate_positions, candidate_cash_rows, mapped_positions,\\\\n               blocked_positions, warnings_count, errors_count, quality_flags_json, created_at\\\\n        FROM broker_import_dry_runs ORDER BY created_at DESC LIMIT ?\\\\n        \\\"\\\"\\\", (limit,)\\\\n    ).fetchall())\\\\n'''\\nmarker='\\\\n\\\\ndef get_command_center_summary'\\nif marker not in s: raise SystemExit('marker missing')\\ns=s.replace(marker, insert+marker)\\nold='''def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\\\n    items: list[dict[str, str]] = []\\\\n    for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\"):\\\\n        items.append({\\\"check\\\": \\\"fehlende FX\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"kritisch\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\\\n    for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\"):\\\\n        items.append({\\\"check\\\": \\\"fehlende CoinGecko-ID\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"warnung\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\\\n    for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM crypto_assets ca LEFT JOIN crypto_prices cp ON cp.asset_id=ca.asset_id WHERE cp.crypto_price_id IS NULL\\\"):\\\\n        items.append({\\\"check\\\": \\\"fehlende Crypto-Preise\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"warnung\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\\\n    for row in conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND priority='kritisch'\\\"):\\\\n        items.append({\\\"check\\\": \\\"aktive kritische Alerts\\\", \\\"count\\\": str(row[\\\"c\\\"]), \\\"severity\\\": \\\"kritisch\\\" if row[\\\"c\\\"] else \\\"ok\\\"})\\\\n    return items\\\\n'''\\nnew='''def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\\\n    items: list[dict[str, str]] = []\\\\n    checks = [\\\\n        (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\\\n        (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\\\n        (\\\"fehlende Crypto-Preise\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets ca LEFT JOIN crypto_prices cp ON cp.asset_id=ca.asset_id WHERE cp.crypto_price_id IS NULL\\\", \\\"warnung\\\"),\\\\n        (\\\"fehlende ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE asset_class IN ('equity','etf') AND (isin IS NULL OR isin='') AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\\\n        (\\\"fehlende FX in Import-Reviews\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%missing_fx%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\\\n        (\\\"snapshot_only Positionen\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'\\\", \\\"info\\\"),\\\\n        (\\\"cost_basis_uncertain\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\\\n        (\\\"aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active'\\\", \\\"warnung\\\"),\\\\n        (\\\"resolved Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'\\\", \\\"ok\\\"),\\\\n        (\\\"alte aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')\\\", \\\"info\\\"),\\\\n    ]\\\\n    for label, sql, severity in checks:\\\\n        row = conn.execute(sql).fetchone()\\\\n        count = int(row[\\\"c\\\"] or 0) if row else 0\\\\n        sev = severity if count else \\\"ok\\\"\\\\n        items.append({\\\"check\\\": label, \\\"count\\\": str(count), \\\"severity\\\": sev})\\\\n    return items\\\\n'''\\nif old not in s: raise SystemExit('old dq block missing')\\np.write_text(s.replace(old,new))\\nprint('dashboard data patched')\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"dashboard data patched\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}",
      "tool_call_id": "call_oSwuqozwBqz4kN2ZyTY3qcvR"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_6MwDLFuWV2SjPBX1hYt95VCM",
          "call_id": "call_6MwDLFuWV2SjPBX1hYt95VCM",
          "response_item_id": "fc_0c76e56576ffc0fb016a06dde664d081918329ec9c4c54c6b4",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\nfrom jarvis_finance.imports.broker_mapping import SOURCE_PLATFORMS, assert_write_enabled\\n\\nPAGE_TITLE = \\\"Import Wizard\\\"\\n\\n\\ndef render(st, conn) -> None:\\n    st.title(\\\"Import Wizard\\\")\\n    st.caption(\\\"Phase B1: Dry Run, Mapping und Review — kein produktiver Aktien-/ETF-/Cash-Import.\\\")\\n\\n    mode = \\\"Read-only\\\"\\n    st.info(f\\\"Modus: {mode}. Produktive Commit-Aktionen sind standardmäßig deaktiviert.\\\")\\n    st.warning(\\\"Echte Broker-/Bankdateien nur im Runtime-/Upload-Kontext verwenden. Keine Dateien ins Repo kopieren.\\\")\\n\\n    source = st.selectbox(\\\"Quelle\\\", [\\\"PostFinance\\\", \\\"True Wealth\\\", \\\"Raiffeisen\\\", \\\"Manuell / Sonstige\\\"])\\n    uploaded = st.file_uploader(\\\"Datei auswählen — wird nicht ins Repo geschrieben\\\", type=[\\\"docx\\\", \\\"xlsx\\\", \\\"csv\\\", \\\"pdf\\\"])\\n    st.write({\\\"source\\\": source, \\\"file_type\\\": getattr(uploaded, \\\"type\\\", \\\"\\\") if uploaded else \\\"\\\", \\\"write_enabled\\\": False})\\n\\n    st.subheader(\\\"Struktur erkennen\\\")\\n    st.caption(\\\"MVP zeigt gespeicherte Dry-Run-Zusammenfassungen. Parser schreiben nur Runtime-Summary, keine produktiven Ledger-Positionen.\\\")\\n    show_table(st, data.get_broker_dry_runs(conn))\\n\\n    st.subheader(\\\"Mapping prüfen\\\")\\n    show_table(st, data.get_manual_review_items(conn))\\n\\n    st.subheader(\\\"Dry Run Summary\\\")\\n    st.write(data.get_import_wizard_summary(conn))\\n\\n    st.subheader(\\\"Review Queue\\\")\\n    st.caption(\\\"missing_isin, missing_ticker, ambiguous_name, missing_fx, cost_basis_uncertain, snapshot_only, market_value_legacy\\\")\\n\\n    st.subheader(\\\"Commit\\\")\\n    try:\\n        assert_write_enabled(write_enabled=False)\\n    except PermissionError as exc:\\n        st.error(str(exc))\\n    st.button(\\\"Produktiven Import committen\\\", disabled=True)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\"}"
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        }
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    {
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      "name": "write_file",
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      "tool_call_id": "call_6MwDLFuWV2SjPBX1hYt95VCM"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_S032UhCL51N7rts85jIcIN0x",
          "call_id": "call_S032UhCL51N7rts85jIcIN0x",
          "response_item_id": "fc_0c76e56576ffc0fb016a06ddf70fc881918caa96dceb04f7d7",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\n\\nPAGE_TITLE = \\\"Manual Review Queue\\\"\\n\\n\\ndef render(st, conn) -> None:\\n    st.title(\\\"Manual Review Queue\\\")\\n    st.caption(\\\"Review von unsicheren Import- und Mapping-Problemen. Keine produktive Positionserstellung in Phase B1.\\\")\\n    rows = data.get_manual_review_items(conn)\\n    show_table(st, rows)\\n    st.subheader(\\\"Aktionen\\\")\\n    st.write(\\\"Mapping bestätigen, ISIN/Ticker/Exchange ergänzen, Account zuweisen, Position ignorieren, Notiz speichern.\\\")\\n    st.warning(\\\"Alle Änderungen erfordern Audit-Log. Produktive Positionserstellung bleibt deaktiviert.\\\")\\n    st.button(\\\"Mapping bestätigen\\\", disabled=True)\\n    st.button(\\\"Position ignorieren\\\", disabled=True)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\"}"
          }
        }
      ]
    },
    {
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      "name": "write_file",
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    {
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      "tool_calls": [
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          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\n\\nPAGE_TITLE = \\\"Data Quality Center\\\"\\n\\n\\ndef render(st, conn) -> None:\\n    st.title(\\\"Data Quality Center\\\")\\n    st.caption(\\\"MVP-Übersicht für Alerts, Preise, FX, ISIN, Snapshot- und Cost-Basis-Probleme.\\\")\\n    show_table(st, data.get_data_quality(conn))\\n    st.subheader(\\\"Alerts\\\")\\n    show_table(st, data.get_alerts(conn))\\n    st.subheader(\\\"Aktionen\\\")\\n    st.button(\\\"Data Quality Recheck\\\", disabled=True)\\n    st.button(\\\"Resolve Fixed Alerts\\\", disabled=True)\\n    st.info(\\\"Buttons sind in Phase B1 sichtbar vorbereitet; produktive Aktion läuft weiterhin über CLI/gesonderte Bestätigung.\\\")\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\"}"
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      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_rJl9c6dYMbrhDdn7AgBIrdB3",
          "call_id": "call_rJl9c6dYMbrhDdn7AgBIrdB3",
          "response_item_id": "fc_0c76e56576ffc0fb016a06de0c37108191bb516de9d97300d9",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/__init__.py')\\ns=p.read_text()\\ns=s.replace('from . import page_13_equity_manage\\\\n', 'from . import page_13_equity_manage\\\\nfrom . import page_14_import_wizard\\\\nfrom . import page_15_manual_review_queue\\\\nfrom . import page_16_data_quality_center\\\\n')\\ns=s.replace('    page_13_equity_manage,\\\\n]', '    page_13_equity_manage,\\\\n    page_14_import_wizard,\\\\n    page_15_manual_review_queue,\\\\n    page_16_data_quality_center,\\\\n]')\\np.write_text(s)\\nprint('pages registered')\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"pages registered\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}",
      "tool_call_id": "call_rJl9c6dYMbrhDdn7AgBIrdB3"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Updating Streamlit Components**\n\nI’m thinking about the need to update the Streamlit fake file uploader. It seems like `getattr` returns a method, but wait—`__getattr__` actually returns a recorder. So if the page calls `st.file_uploader`, it will return None by default. I should consider whether I need some kind of schema required for migration version updates. Testing seems essential here to ensure everything works correctly!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Updating Streamlit Components**\n\nI’m thinking about the need to update the Streamlit fake file uploader. It seems like `getattr` returns a method, but wait—`__getattr__` actually returns a recorder. So if the page calls `st.file_uploader`, it will return None by default. I should consider whether I need some kind of schema required for migration version updates. Testing seems essential here to ensure everything works correctly!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqBt4ZFits6STVIp54OyPmOZ1JdSXmOY3hNNwKT3PbiIhX9D294Fa_1jmTk1BjZx9pYFdPp-jlgjVR2jNQBqlf4XEgiFRvHdxq8BKSSWCP8DbNgTufcGGq3UlWv8yUJJj4VsSh_9gYeeMmO5KJYnpDnc8lFrOR-oIAZrm8l7VsWaqb4jWIys2514Ptuv_WyR9cpyto-VHO0B1_EUD0TnqSPcnmhc_v_8eFRMSCJUBdPYvHBoqfGo7zx_8rWuPk6YRQIKDqpIuFHphSK3dRTsx8Au9e0Fu1WpbdZOLE6q5rVspL2PRioCwcUvCew4XcjYpdH6xMAOzu6UbSA2wHSjhqZdngtw6q0kTCB3N7VKW92T0EM7_dDhBI9ayxyghGVEQIKiGoNfN3V-FWTYh81fMpLt3Au3-WwWkO0W2GOWnh03dWpzzXz_LYjVf4MvQga6GDo_RQTZST7kYQsss8kOmmsIfjA2hPXbSzhLIXCHybbkyNiugTVJMF0X68XG4exLLSKTbFo00JLF5A6R-UsUnng3KjrX_iGb7LGq8maFbVYtwzTtYZBy-autFc7KFXNxWEU_gd9j1hzDmDMPjqtPCvNciCe1b2R59X4GoeLTG4P0zqfhcZ7AFL9jqVG3ACfl8qEFKWHUYDe7XLn7QpEKSBoMJIsluo1zR8PHnLlZfwMUp30cg17q2fm2RP14rIH5vyBvZ8uDB8iyI9TFbW6Znnx7KrT9jCGE7H0uCiaa91_U89IOau2Kv_EnqW8W3FojY7YLhtVehkge1bS7v1PztVl655Uig2ZyEFPGZb1D9JEevI8MCyX5cyUyyy-EMdN9sPV-0Kd_VvdPanGwGcIihx_HufgxKJNkHzjeL7OEdZRhYeTYdwxOFrhZKUi9GByWza_TN0wasPY8HUNny6IZ2RQI4RNDBYXAL9JnYMGfaqJQkQxx_sW6PUXCTHysxDpPMJ4C9votw73PmLKpC0HQLEZQbgIc8bo997U6kwGiUV7siWk229DIjp1gd0tUTSidGMeqkuKONqgyU-Bfh-HLRg3u5P8QgALts_6LFduRdHcKhGqZ_TlM2GHZNrAS0bVrG_1sKPQPIULHBwCnoXzy0UwY3GBTGmS-qlBQTeg077NzA3V3TuWsX8Pq-kXIFywwcWEYsxwKje9kXKLYqiJTkouIxFZzRsU2hMUIArtep7IJg6OL5_VyYIQC8RBDvZnoSzI34mzE3GXh4ZUELnvxFMzJMzMg==",
          "id": "rs_0c76e56576ffc0fb016a06de16f0a481918be3e2f60c49ec1a",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Updating Streamlit Components**\n\nI’m thinking about the need to update the Streamlit fake file uploader. It seems like `getattr` returns a method, but wait—`__getattr__` actually returns a recorder. So if the page calls `st.file_uploader`, it will return None by default. I should consider whether I need some kind of schema required for migration version updates. Testing seems essential here to ensure everything works correctly!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_j3Ih3opkouA4WbttnIxJyBES",
          "call_id": "call_j3Ih3opkouA4WbttnIxJyBES",
          "response_item_id": "fc_0c76e56576ffc0fb016a06de1972e88191a4fc1ba9727e8cfb",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\",\"old_string\":\"    assert get_schema_version(conn) == 3\\n\",\"new_string\":\"    assert get_schema_version(conn) == 4\\n\",\"mode\":\"replace\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -15,7 +15,7 @@\\n def test_schema_version_recorded() -> None:\\n     conn = connect_memory()\\n     apply_migrations(conn)\\n-    assert get_schema_version(conn) == 3\\n+    assert get_schema_version(conn) == 4\\n \\n \\n def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py was modified by sibling subagent '20260515_094358_9baea0' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes.\"}",
      "tool_call_id": "call_j3Ih3opkouA4WbttnIxJyBES"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_thF8mn0r3I8qZC89132jdSZB",
          "call_id": "call_thF8mn0r3I8qZC89132jdSZB",
          "response_item_id": "fc_0c76e56576ffc0fb016a06de210d0c81918e70d5ff7fe56541",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    assert {\\\"source_name\\\", \\\"source_platform\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"isin\\\", \\\"ticker\\\", \\\"exchange\\\", \\\"currency\\\", \\\"asset_class\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"confidence\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n    assert {\\\"source_platform\\\", \\\"source_account_label\\\", \\\"normalized_platform\\\", \\\"normalized_account_name\\\", \\\"internal_platform_id\\\", \\\"internal_account_id\\\", \\\"account_type\\\", \\\"currency\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n    assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\"}.issubset(dry_run_cols)\\n\",\"old_string\":\"    assert {\\\"source_name\\\", \\\"source_isin\\\", \\\"source_ticker\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n    assert {\\\"source_name\\\", \\\"source_platform_label\\\", \\\"source_account_label\\\", \\\"platform_id\\\", \\\"account_id\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n    assert {\\\"source_name\\\", \\\"source_file_type\\\", \\\"detected_sections_json\\\", \\\"field_coverage_json\\\", \\\"quality_flags_json\\\"}.issubset(dry_run_cols)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -37,6 +37,6 @@\\n     account_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(platform_account_mappings)\\\").fetchall()}\\n     dry_run_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_dry_runs)\\\").fetchall()}\\n \\n-    assert {\\\"source_name\\\", \\\"source_isin\\\", \\\"source_ticker\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n-    assert {\\\"source_name\\\", \\\"source_platform_label\\\", \\\"source_account_label\\\", \\\"platform_id\\\", \\\"account_id\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n-    assert {\\\"source_name\\\", \\\"source_file_type\\\", \\\"detected_sections_json\\\", \\\"field_coverage_json\\\", \\\"quality_flags_json\\\"}.issubset(dry_run_cols)\\n+    assert {\\\"source_name\\\", \\\"source_platform\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"isin\\\", \\\"ticker\\\", \\\"exchange\\\", \\\"currency\\\", \\\"asset_class\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"confidence\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n+    assert {\\\"source_platform\\\", \\\"source_account_label\\\", \\\"normalized_platform\\\", \\\"normalized_account_name\\\", \\\"internal_platform_id\\\", \\\"internal_account_id\\\", \\\"account_type\\\", \\\"currency\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n+    assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\"}.issubset(dry_run_cols)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_thF8mn0r3I8qZC89132jdSZB"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Evaluating testing needs**\n\nI see that I need to create some tests. Maybe I could develop an instrument or helper based on existing tools? I should inspect the importer tests for instruments and accounts to get a clearer idea of what’s required. This way, I can ensure I’m thorough and systematic in handling any testing needs. Let’s keep this focused and productive!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Evaluating testing needs**\n\nI see that I need to create some tests. Maybe I could develop an instrument or helper based on existing tools? I should inspect the importer tests for instruments and accounts to get a clearer idea of what’s required. This way, I can ensure I’m thorough and systematic in handling any testing needs. Let’s keep this focused and productive!",
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          "id": "rs_0c76e56576ffc0fb016a06de2c548881918b53fedc5bd380ca",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Evaluating testing needs**\n\nI see that I need to create some tests. Maybe I could develop an instrument or helper based on existing tools? I should inspect the importer tests for instruments and accounts to get a clearer idea of what’s required. This way, I can ensure I’m thorough and systematic in handling any testing needs. Let’s keep this focused and productive!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_lD2wqAG6Cai17GcSaoh0Kig8",
          "call_id": "call_lD2wqAG6Cai17GcSaoh0Kig8",
          "response_item_id": "fc_0c76e56576ffc0fb016a06de2ec30c819186553570f10d15a5",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":160,\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_importers_instruments.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from pathlib import Path\\n     4|\\n     5|from jarvis_finance.imports.instruments_importer import import_instruments_csv\\n     6|from jarvis_finance.storage.database import connect_memory\\n     7|from jarvis_finance.storage.migrations import apply_migrations\\n     8|\\n     9|\\n    10|def test_instruments_import_commit_and_idempotent(tmp_path: Path) -> None:\\n    11|    path = tmp_path / \\\"instruments.csv\\\"\\n    12|    path.write_text(\\n    13|        \\\"asset_class,name,ticker,isin,exchange,currency,country,sector,data_provider_primary,notes\\\\n\\\"\\n    14|        \\\"equity,Demo Global AG,DGA,CH0000000001,SIX,CHF,CH,Technology,dummy,Synthetic only\\\\n\\\",\\n    15|        encoding=\\\"utf-8\\\",\\n    16|    )\\n    17|    conn = connect_memory()\\n    18|    apply_migrations(conn)\\n    19|\\n    20|    first = import_instruments_csv(conn, path, commit=True, source_filename=\\\"instruments.csv\\\")\\n    21|    second = import_instruments_csv(conn, path, commit=True, source_filename=\\\"instruments.csv\\\")\\n    22|\\n    23|    assert first.rows_new == 1\\n    24|    assert second.rows_existing == 1\\n    25|    assert conn.execute(\\\"SELECT COUNT(*) AS n FROM instruments\\\").fetchone()[\\\"n\\\"] == 1\\n    26|\\n    27|\\n    28|def test_instruments_dry_run_does_not_write(tmp_path: Path) -> None:\\n    29|    path = tmp_path / \\\"instruments.csv\\\"\\n    30|    path.write_text(\\n    31|        \\\"asset_class,name,ticker,isin,exchange,currency,country,sector,data_provider_primary,notes\\\\n\\\"\\n    32|        \\\"etf,Demo World ETF,DWLD,CH0000000002,SIX,CHF,CH,Diversified,dummy,Synthetic only\\\\n\\\",\\n    33|        encoding=\\\"utf-8\\\",\\n    34|    )\\n    35|    conn = connect_memory()\\n    36|    apply_migrations(conn)\\n    37|\\n    38|    result = import_instruments_csv(conn, path, commit=False, source_filename=\\\"instruments.csv\\\")\\n    39|\\n    40|    assert result.rows_new == 1\\n    41|    assert result.status == \\\"dry_run_ok\\\"\\n    42|    assert conn.execute(\\\"SELECT COUNT(*) AS n FROM instruments\\\").fetchone()[\\\"n\\\"] == 0\\n    43|\\n    44|\\n    45|def test_instruments_import_collects_validation_errors(tmp_path: Path) -> None:\\n    46|    path = tmp_path / \\\"bad_instruments.csv\\\"\\n    47|    path.write_text(\\n    48|        \\\"asset_class,name,ticker,isin,exchange,currency\\\\n\\\"\\n    49|        \\\"equity,,DGA,CH0000000001,SIX,CHF\\\\n\\\",\\n    50|        encoding=\\\"utf-8\\\",\\n    51|    )\\n    52|    conn = connect_memory()\\n    53|    apply_migrations(conn)\\n    54|\\n    55|    result = import_instruments_csv(conn, path, commit=True, source_filename=\\\"bad_instruments.csv\\\")\\n    56|\\n    57|    assert result.rows_failed == 1\\n    58|    assert result.status == \\\"failed\\\"\\n    59|    assert \\\"name\\\" in result.errors[0]\\n    60|\", \"total_lines\": 59, \"file_size\": 2256, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_lD2wqAG6Cai17GcSaoh0Kig8"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_IrZoaG1tFbyTcmHiMh2SBjbl",
          "call_id": "call_IrZoaG1tFbyTcmHiMh2SBjbl",
          "response_item_id": "fc_0c76e56576ffc0fb016a06de32d1d88191bfe484de39e1e75e",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":180,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instruments_importer.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from pathlib import Path\\n     4|from sqlite3 import Connection\\n     5|\\n     6|from .common import ImportResult, clean, create_import_session, require_text, source_hash, stable_id, utc_now\\n     7|from .dry_run import read_csv_rows\\n     8|\\n     9|REQUIRED_COLUMNS = {\\\"asset_class\\\", \\\"name\\\", \\\"currency\\\"}\\n    10|\\n    11|\\n    12|def _instrument_key(row: dict[str, str]) -> tuple[str, str, str]:\\n    13|    isin = clean(row.get(\\\"isin\\\")).upper()\\n    14|    ticker = clean(row.get(\\\"ticker\\\")).upper()\\n    15|    name = clean(row.get(\\\"name\\\"))\\n    16|    return isin, ticker, name\\n    17|\\n    18|\\n    19|def _existing_instrument(conn: Connection, row: dict[str, str]) -> bool:\\n    20|    isin, ticker, name = _instrument_key(row)\\n    21|    if isin:\\n    22|        existing = conn.execute(\\\"SELECT 1 FROM instruments WHERE isin = ? LIMIT 1\\\", (isin,)).fetchone()\\n    23|        if existing:\\n    24|            return True\\n    25|    if ticker:\\n    26|        existing = conn.execute(\\\"SELECT 1 FROM instruments WHERE ticker = ? AND name = ? LIMIT 1\\\", (ticker, name)).fetchone()\\n    27|        if existing:\\n    28|            return True\\n    29|    return False\\n    30|\\n    31|\\n    32|def import_instruments_csv(\\n    33|    conn: Connection,\\n    34|    path: str | Path,\\n    35|    *,\\n    36|    commit: bool,\\n    37|    source_filename: str | None = None,\\n    38|) -> ImportResult:\\n    39|    rows, errors = read_csv_rows(path, REQUIRED_COLUMNS)\\n    40|    source_filename = source_filename or Path(path).name\\n    41|    rows_new = rows_existing = 0\\n    42|    validated: list[dict[str, str]] = []\\n    43|    for line, row in enumerate(rows, start=2):\\n    44|        try:\\n    45|            asset_class = require_text(row, \\\"asset_class\\\", line)\\n    46|            name = require_text(row, \\\"name\\\", line)\\n    47|            currency = require_text(row, \\\"currency\\\", line).upper()\\n    48|            isin, ticker, _ = _instrument_key(row)\\n    49|            instrument_id = stable_id(\\\"instrument\\\", isin or ticker or name, currency)\\n    50|            if _existing_instrument(conn, {**row, \\\"name\\\": name, \\\"ticker\\\": ticker, \\\"isin\\\": isin}):\\n    51|                rows_existing += 1\\n    52|            else:\\n    53|                rows_new += 1\\n    54|            validated.append({\\n    55|                \\\"instrument_id\\\": instrument_id,\\n    56|                \\\"asset_class\\\": asset_class,\\n    57|                \\\"name\\\": name,\\n    58|                \\\"ticker\\\": ticker,\\n    59|                \\\"isin\\\": isin,\\n    60|                \\\"exchange\\\": clean(row.get(\\\"exchange\\\")),\\n    61|                \\\"currency\\\": currency,\\n    62|                \\\"country\\\": clean(row.get(\\\"country\\\")),\\n    63|                \\\"sector\\\": clean(row.get(\\\"sector\\\")),\\n    64|                \\\"data_provider_primary\\\": clean(row.get(\\\"data_provider_primary\\\")),\\n    65|                \\\"notes\\\": clean(row.get(\\\"notes\\\")),\\n    66|            })\\n    67|        except ValueError as exc:\\n    68|            errors.append(str(exc))\\n    69|    status = \\\"failed\\\" if errors else (\\\"committed\\\" if commit else \\\"dry_run_ok\\\")\\n    70|    if commit and not errors:\\n    71|        now = utc_now()\\n    72|        for item in validated:\\n    73|            conn.execute(\\n    74|                \\\"\\\"\\\"\\n    75|                INSERT OR IGNORE INTO instruments(\\n    76|                    instrument_id, asset_class, name, ticker, isin, exchange, currency,\\n    77|                    country, sector, data_provider_primary, notes, created_at\\n    78|                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n    79|                \\\"\\\"\\\",\\n    80|                (\\n    81|                    item[\\\"instrument_id\\\"], item[\\\"asset_class\\\"], item[\\\"name\\\"], item[\\\"ticker\\\"], item[\\\"isin\\\"],\\n    82|                    item[\\\"exchange\\\"], item[\\\"currency\\\"], item[\\\"country\\\"], item[\\\"sector\\\"],\\n    83|                    item[\\\"data_provider_primary\\\"], item[\\\"notes\\\"], now,\\n    84|                ),\\n    85|            )\\n    86|    session_id = create_import_session(\\n    87|        conn,\\n    88|        import_type=\\\"instruments\\\",\\n    89|        source_filename=source_filename,\\n    90|        file_hash=source_hash(path),\\n    91|        status=status,\\n    92|        rows_total=len(rows),\\n    93|        rows_imported=rows_new if commit and not errors else 0,\\n    94|        rows_failed=len(errors),\\n    95|        errors=errors,\\n    96|        notes=\\\"dry run\\\" if not commit else None,\\n    97|    )\\n    98|    return ImportResult(session_id, \\\"instruments\\\", status, len(rows), rows_new if not errors else 0, rows_existing, len(errors), errors)\\n    99|\", \"total_lines\": 98, \"file_size\": 3902, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_IrZoaG1tFbyTcmHiMh2SBjbl"
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      "tool_calls": [
        {
          "id": "call_mUY377Kwb6uAd7o4WsfQybga",
          "call_id": "call_mUY377Kwb6uAd7o4WsfQybga",
          "response_item_id": "fc_0c76e56576ffc0fb016a06de377f78819180cdab5c2ecbd897",
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            "name": "write_file",
            "arguments": "{\"content\":\"from __future__ import annotations\\n\\nimport json\\nfrom pathlib import Path\\n\\nimport pytest\\n\\nfrom jarvis_finance.dashboard import data as dashboard_data\\nfrom jarvis_finance.dashboard.pages import page_14_import_wizard, page_15_manual_review_queue, page_16_data_quality_center\\nfrom jarvis_finance.imports.broker_mapping import (\\n    DryRunInput,\\n    assert_write_enabled,\\n    confirm_instrument_mapping,\\n    create_broker_import_dry_run,\\n    create_instrument_mapping,\\n    create_platform_account_mapping,\\n    get_manual_review_queue,\\n)\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations, utc_now\\n\\n\\nclass FakeStreamlit:\\n    def __init__(self) -> None:\\n        self.calls: list[tuple[str, tuple[object, ...], dict[str, object]]] = []\\n        self.sidebar = self\\n\\n    def __getattr__(self, name: str):\\n        def recorder(*args, **kwargs):\\n            self.calls.append((name, args, kwargs))\\n            if name in {\\\"button\\\", \\\"checkbox\\\"}:\\n                return False\\n            if name in {\\\"selectbox\\\", \\\"radio\\\"}:\\n                options = args[1] if len(args) > 1 else kwargs.get(\\\"options\\\", [])\\n                return list(options)[0] if options else None\\n            if name == \\\"tabs\\\":\\n                return [self for _ in (args[0] if args else [])]\\n            if name == \\\"columns\\\":\\n                count = args[0] if args else 1\\n                return [self for _ in range(count)] if isinstance(count, int) else [self for _ in count]\\n            return None\\n        return recorder\\n\\n    def __enter__(self):\\n        return self\\n\\n    def __exit__(self, *args):\\n        return False\\n\\n\\ndef conn():\\n    c = connect_memory()\\n    apply_migrations(c)\\n    return c\\n\\n\\ndef seed_instrument(c, *, instrument_id=\\\"inst-demo\\\", isin=\\\"CH0000000001\\\", ticker=\\\"DGA\\\", exchange=\\\"SIX\\\", currency=\\\"CHF\\\"):\\n    c.execute(\\n        \\\"INSERT INTO instruments(instrument_id, asset_class, name, ticker, isin, exchange, currency, created_at) VALUES (?, 'etf', 'Demo ETF', ?, ?, ?, ?, ?)\\\",\\n        (instrument_id, ticker, isin, exchange, currency, utc_now()),\\n    )\\n    return instrument_id\\n\\n\\ndef seed_platform_account(c, *, platform_id=\\\"pf\\\", account_id=\\\"pf-cash\\\", platform=\\\"PostFinance\\\", account=\\\"Cash\\\"):\\n    now = utc_now()\\n    c.execute(\\\"INSERT INTO platforms(platform_id, name, platform_type, default_currency, created_at) VALUES (?, ?, 'bank', 'CHF', ?)\\\", (platform_id, platform, now))\\n    c.execute(\\\"INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES (?, ?, ?, 'cash', 'CHF', ?)\\\", (account_id, platform_id, account, now))\\n    return platform_id, account_id\\n\\n\\ndef test_instrument_mapping_can_be_created_and_auto_maps_by_isin() -> None:\\n    c = conn()\\n    instrument_id = seed_instrument(c)\\n    result = create_instrument_mapping(c, source_platform=\\\"PostFinance\\\", source_label=\\\"Demo ETF\\\", asset_class=\\\"etf\\\", isin=\\\"CH0000000001\\\", currency=\\\"CHF\\\")\\n    row = c.execute(\\\"SELECT * FROM instrument_mappings WHERE mapping_id=?\\\", (result[\\\"mapping_id\\\"],)).fetchone()\\n    assert row[\\\"mapping_status\\\"] == \\\"mapped\\\"\\n    assert row[\\\"instrument_id\\\"] == instrument_id\\n\\n\\ndef test_missing_isin_creates_needs_manual_review() -> None:\\n    c = conn()\\n    result = create_instrument_mapping(c, source_platform=\\\"PostFinance\\\", source_label=\\\"Demo ETF\\\", asset_class=\\\"etf\\\", ticker=\\\"DGA\\\", currency=\\\"CHF\\\")\\n    assert result[\\\"mapping_status\\\"] == \\\"needs_manual_review\\\"\\n    assert \\\"missing_isin\\\" in result[\\\"quality_flags\\\"]\\n\\n\\ndef test_name_without_isin_or_ticker_is_not_automapped() -> None:\\n    c = conn()\\n    result = create_instrument_mapping(c, source_platform=\\\"True Wealth\\\", source_label=\\\"Global Index Fund\\\", asset_class=\\\"etf\\\", currency=\\\"USD\\\")\\n    assert result[\\\"mapping_status\\\"] == \\\"needs_manual_review\\\"\\n    assert result[\\\"instrument_id\\\"] is None\\n    assert \\\"name_only_not_auto_mapped\\\" in result[\\\"quality_flags\\\"]\\n\\n\\ndef test_platform_account_mapping_for_postfinance_and_true_wealth_and_raiffeisen_cash() -> None:\\n    c = conn()\\n    pf_platform, pf_account = seed_platform_account(c, platform_id=\\\"pf\\\", account_id=\\\"pf-depot\\\", platform=\\\"PostFinance\\\", account=\\\"Depot\\\")\\n    pf = create_platform_account_mapping(c, source_platform=\\\"PostFinance\\\", source_account_label=\\\"Depot\\\", account_type=\\\"brokerage\\\", currency=\\\"CHF\\\", internal_platform_id=pf_platform, internal_account_id=pf_account)\\n    tw = create_platform_account_mapping(c, source_platform=\\\"True Wealth\\\", source_account_label=\\\"Robo Portfolio\\\", account_type=\\\"robo_portfolio\\\", currency=\\\"CHF\\\")\\n    rf = create_platform_account_mapping(c, source_platform=\\\"Raiffeisen\\\", source_account_label=\\\"Privatkonto\\\", account_type=\\\"brokerage\\\", currency=\\\"CHF\\\")\\n    assert pf[\\\"mapping_status\\\"] == \\\"mapped\\\"\\n    assert tw[\\\"mapping_status\\\"] == \\\"needs_manual_review\\\"\\n    assert rf[\\\"account_type\\\"] == \\\"cash\\\"\\n    assert \\\"raiffeisen_instrument_detail_missing\\\" in rf[\\\"quality_flags\\\"]\\n\\n\\ndef test_broker_import_dry_run_stores_summary_without_productive_positions() -> None:\\n    c = conn()\\n    dry_run_id = create_broker_import_dry_run(c, DryRunInput(source_platform=\\\"PostFinance\\\", source_file_type=\\\"docx\\\", source_filename=\\\"real-file-redacted.docx\\\", snapshot_date_status=\\\"missing\\\", rows_total=10, candidate_positions=3, candidate_cash_rows=2, mapped_positions=1, blocked_positions=2, warnings_count=4, quality_flags={\\\"missing_isin\\\": 2}, summary={\\\"rows\\\": [{\\\"forbidden\\\": \\\"raw\\\"}], \\\"safe\\\": \\\"aggregate\\\"}))\\n    row = c.execute(\\\"SELECT * FROM broker_import_dry_runs WHERE dry_run_id=?\\\", (dry_run_id,)).fetchone()\\n    assert row[\\\"candidate_positions\\\"] == 3\\n    assert json.loads(row[\\\"summary_json\\\"]) == {\\\"safe\\\": \\\"aggregate\\\"}\\n    assert c.execute(\\\"SELECT COUNT(*) AS n FROM positions_snapshot\\\").fetchone()[\\\"n\\\"] == 0\\n\\n\\ndef test_import_wizard_manual_review_and_data_quality_pages_import_and_render() -> None:\\n    c = conn()\\n    create_instrument_mapping(c, source_platform=\\\"PostFinance\\\", source_label=\\\"Unknown ETF\\\", asset_class=\\\"etf\\\", currency=\\\"USD\\\")\\n    st = FakeStreamlit()\\n    for module in [page_14_import_wizard, page_15_manual_review_queue, page_16_data_quality_center]:\\n        module.render(st, c)\\n    assert any(call[0] == \\\"title\\\" for call in st.calls)\\n\\n\\ndef test_manual_review_queue_loads_open_mapping_problems() -> None:\\n    c = conn()\\n    create_instrument_mapping(c, source_platform=\\\"PostFinance\\\", source_label=\\\"Unknown ETF\\\", asset_class=\\\"etf\\\")\\n    rows = get_manual_review_queue(c)\\n    assert rows\\n    assert rows[0][\\\"item_type\\\"] == \\\"instrument_mapping\\\"\\n\\n\\ndef test_data_quality_center_reports_missing_isin_fx_and_prices() -> None:\\n    c = conn()\\n    create_instrument_mapping(c, source_platform=\\\"True Wealth\\\", source_label=\\\"Unknown USD ETF\\\", asset_class=\\\"etf\\\", currency=\\\"USD\\\")\\n    c.execute(\\\"UPDATE instrument_mappings SET quality_flags_json=?\\\", (json.dumps([\\\"missing_fx\\\", \\\"snapshot_only\\\", \\\"cost_basis_uncertain\\\"]),))\\n    rows = dashboard_data.get_data_quality(c)\\n    checks = {row[\\\"check\\\"]: row[\\\"count\\\"] for row in rows}\\n    assert checks[\\\"fehlende ISIN\\\"] == \\\"1\\\"\\n    assert checks[\\\"fehlende FX in Import-Reviews\\\"] == \\\"1\\\"\\n    assert \\\"fehlende Crypto-Preise\\\" in checks\\n\\n\\ndef test_read_only_mode_blocks_commit_actions() -> None:\\n    with pytest.raises(PermissionError):\\n        assert_write_enabled(write_enabled=False)\\n\\n\\ndef test_audit_log_created_when_manual_mapping_confirmed() -> None:\\n    c = conn()\\n    instrument_id = seed_instrument(c)\\n    result = create_instrument_mapping(c, source_platform=\\\"PostFinance\\\", source_label=\\\"Manual ETF\\\", asset_class=\\\"etf\\\", ticker=\\\"MAN\\\", currency=\\\"CHF\\\")\\n    audit_id = confirm_instrument_mapping(c, mapping_id=result[\\\"mapping_id\\\"], instrument_id=instrument_id, note=\\\"Synthetic manual confirmation\\\")\\n    assert audit_id\\n    assert c.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE entity_id=?\\\", (result[\\\"mapping_id\\\"],)).fetchone()[\\\"n\\\"] == 1\\n\\n\\ndef test_no_real_files_created_in_repo(tmp_path: Path) -> None:\\n    c = conn()\\n    create_broker_import_dry_run(c, DryRunInput(source_platform=\\\"Raiffeisen\\\", source_file_type=\\\"xlsx\\\", source_filename=\\\"redacted.xlsx\\\", rows_total=1))\\n    assert not any(tmp_path.rglob(\\\"*.xlsx\\\"))\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_mapping_import_wizard.py\"}"
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      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"src/jarvis_finance/dashboard/data.py           | 48 ++++++++++---\\n src/jarvis_finance/dashboard/pages/__init__.py |  6 ++\\n src/jarvis_finance/storage/migrations.py       | 98 ++++++++++++++++++++++----\\n tests/unit/test_schema.py                      |  8 +--\\n 4 files changed, 133 insertions(+), 27 deletions(-)\\ndiff --git a/src/jarvis_finance/storage/migrations.py b/src/jarvis_finance/storage/migrations.py\\nindex 8fb64f2..9c1f3b9 100644\\n--- a/src/jarvis_finance/storage/migrations.py\\n+++ b/src/jarvis_finance/storage/migrations.py\\n@@ -6,8 +6,8 @@ from sqlite3 import Connection\\n \\n from .schema import INITIAL_SCHEMA_SQL\\n \\n-MIGRATION_VERSION = 3\\n-MIGRATION_NAME = \\\"003_broker_bank_mapping_foundation\\\"\\n+MIGRATION_VERSION = 4\\n+MIGRATION_NAME = \\\"004_import_wizard_mapping_layer\\\"\\n \\n INSTRUMENT_OPTIONAL_COLUMNS = {\\n     \\\"position_category\\\": \\\"TEXT\\\",\\n@@ -84,60 +84,128 @@ def 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NOT NULL,\\n+            isin TEXT,\\n+            ticker TEXT,\\n+            exchange TEXT,\\n+            currency TEXT,\\n+            asset_class TEXT NOT NULL DEFAULT 'other',\\n             source_instrument_name TEXT,\\n             source_isin TEXT,\\n             source_ticker TEXT,\\n             source_exchange TEXT,\\n             source_currency TEXT,\\n             instrument_id TEXT REFERENCES instruments(instrument_id),\\n-            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n+            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n+            confidence TEXT NOT NULL DEFAULT '0',\\n             quality_flags_json TEXT,\\n             notes TEXT,\\n             created_at TEXT NOT NULL,\\n-            updated_at TEXT,\\n-            UNIQUE(source_name, source_isin, source_ticker, source_instrument_name, source_currency)\\n+            updated_at TEXT\\n         );\\n \\n         CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n             mapping_id TEXT PRIMARY KEY,\\n-            source_name TEXT NOT NULL,\\n+            source_name TEXT,\\n+            source_platform TEXT NOT NULL,\\n             source_platform_label TEXT,\\n-            source_account_label TEXT,\\n+            source_account_label TEXT NOT NULL,\\n+            normalized_platform TEXT NOT NULL,\\n+            normalized_account_name TEXT NOT NULL,\\n             source_account_type TEXT,\\n+            account_type TEXT NOT NULL DEFAULT 'other',\\n             source_currency TEXT,\\n+            currency TEXT,\\n             platform_id TEXT REFERENCES platforms(platform_id),\\n             account_id TEXT REFERENCES accounts(account_id),\\n-            mapping_status TEXT NOT NULL DEFAULT 'unmapped',\\n+            internal_platform_id TEXT REFERENCES platforms(platform_id),\\n+            internal_account_id TEXT REFERENCES accounts(account_id),\\n+            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n             quality_flags_json TEXT,\\n             notes TEXT,\\n             created_at TEXT NOT NULL,\\n-            updated_at TEXT,\\n-            UNIQUE(source_name, source_platform_label, source_account_label, source_currency)\\n+            updated_at TEXT\\n         );\\n \\n         CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n             dry_run_id TEXT PRIMARY KEY,\\n-            source_name TEXT NOT NULL,\\n-            source_file_label TEXT NOT NULL,\\n+            source_name TEXT,\\n+            source_platform TEXT NOT NULL,\\n+            source_file_label TEXT,\\n             source_file_type TEXT NOT NULL,\\n             source_hash TEXT,\\n+            source_filename_hash TEXT,\\n+            detected_snapshot_date TEXT,\\n+            snapshot_date_status TEXT NOT NULL DEFAULT 'missing',\\n             detected_sections_json TEXT NOT NULL,\\n-            field_coverage_json TEXT NOT NULL,\\n-            quality_flags_json TEXT NOT NULL,\\n+            field_coverage_json TEXT,\\n             rows_total INTEGER NOT NULL DEFAULT 0,\\n             rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n             rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n+            candidate_positions INTEGER NOT NULL DEFAULT 0,\\n+            candidate_cash_rows INTEGER NOT NULL DEFAULT 0,\\n+            mapped_positions INTEGER NOT NULL DEFAULT 0,\\n+            blocked_positions INTEGER NOT NULL DEFAULT 0,\\n+            warnings_count INTEGER NOT NULL DEFAULT 0,\\n+            errors_count INTEGER NOT NULL DEFAULT 0,\\n+            quality_flags_json TEXT NOT NULL,\\n+            summary_json TEXT NOT NULL DEFAULT '{}',\\n             created_at TEXT NOT NULL,\\n             notes TEXT\\n         );\\n         \\\"\\\"\\\"\\n     )\\n+    _add_missing_columns(conn, \\\"instrument_mappings\\\", {\\n+        \\\"source_name\\\": \\\"TEXT\\\",\\n+        \\\"source_platform\\\": \\\"TEXT\\\",\\n+        \\\"source_account\\\": \\\"TEXT\\\",\\n+        \\\"source_label\\\": \\\"TEXT\\\",\\n+        \\\"normalized_name\\\": \\\"TEXT\\\",\\n+        \\\"isin\\\": \\\"TEXT\\\",\\n+        \\\"ticker\\\": \\\"TEXT\\\",\\n+        \\\"exchange\\\": \\\"TEXT\\\",\\n+        \\\"currency\\\": \\\"TEXT\\\",\\n+        \\\"asset_class\\\": \\\"TEXT DEFAULT 'other'\\\",\\n+        \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\n+    })\\n+    _add_missing_columns(conn, \\\"platform_account_mappings\\\", {\\n+        \\\"source_platform\\\": \\\"TEXT\\\",\\n+        \\\"normalized_platform\\\": \\\"TEXT\\\",\\n+        \\\"normalized_account_name\\\": \\\"TEXT\\\",\\n+        \\\"account_type\\\": \\\"TEXT DEFAULT 'other'\\\",\\n+        \\\"currency\\\": \\\"TEXT\\\",\\n+        \\\"internal_platform_id\\\": \\\"TEXT\\\",\\n+        \\\"internal_account_id\\\": \\\"TEXT\\\",\\n+    })\\n+    _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\n+        \\\"source_platform\\\": \\\"TEXT\\\",\\n+        \\\"source_filename_hash\\\": \\\"TEXT\\\",\\n+        \\\"detected_snapshot_date\\\": \\\"TEXT\\\",\\n+        \\\"snapshot_date_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n+        \\\"candidate_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n+        \\\"candidate_cash_rows\\\": \\\"INTEGER DEFAULT 0\\\",\\n+        \\\"mapped_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n+        \\\"blocked_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n+        \\\"warnings_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n+        \\\"errors_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n+        \\\"summary_json\\\": \\\"TEXT DEFAULT '{}'\\\",\\n+    })\\n \\n def _apply_compat_migrations(conn: Connection) -> None:\\n     _add_missing_instrument_columns(conn)\", \"exit_code\": 0, \"error\": null}",
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      "content": "{\"output\": \"[main cd2d954] feat: add equity import wizard mapping layer\\n 9 files changed, 673 insertions(+), 27 deletions(-)\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\\n create mode 100644 src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\\n create mode 100644 src/jarvis_finance/imports/broker_mapping.py\\n create mode 100644 tests/unit/test_broker_mapping_import_wizard.py\", \"exit_code\": 0, \"error\": null}",
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      "reasoning": "**Verifying git push process**\n\nI need to make sure everything is correct before pushing my changes. Maybe I should compile and check the status after committing. It seems like running a git status could help confirm that safety measures are in place. The requirement is to ensure everything is good before I complete the process. So, I’m thinking after I commit, it might be wise to verify the safety status again before proceeding with the push.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Verifying git push process**\n\nI need to make sure everything is correct before pushing my changes. Maybe I should compile and check the status after committing. It seems like running a git status could help confirm that safety measures are in place. The requirement is to ensure everything is good before I complete the process. So, I’m thinking after I commit, it might be wise to verify the safety status again before proceeding with the push.",
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            "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      "content": "{\"output\": \"........................................................................ [ 53%]\\n..............................................................           [100%]\\n134 passed in 3.77s\\nGIT_SAFETY_OK\\n## main...origin/main [voraus 1]\", \"exit_code\": 0, \"error\": null}",
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            "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nimport re, subprocess, sys\\nfrom pathlib import Path\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ntext=Path.home().joinpath('jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv').read_text()\\nm=re.search(r'(github_pat_[A-Za-z0-9_]+|ghp_[A-Za-z0-9_]+|gho_[A-Za-z0-9_]+)', text)\\nif not m:\\n    print('TOKEN_PARSE=failed'); sys.exit(12)\\ntoken=m.group(1); auth_url=f'https://{token}@github.com/Gamexgit/FinanceManager.git'\\ndef run(args, check=True): return subprocess.run(args, cwd=repo, text=True, capture_output=True, check=check)\\ntry:\\n    run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n    local=run(['git','rev-parse','HEAD']).stdout.strip(); origin=run(['git','rev-parse','origin/main']).stdout.strip(); base=run(['git','merge-base','HEAD','origin/main']).stdout.strip()\\n    print('REMOTE_BEFORE='+origin[:7]); print('LOCAL_HEAD='+local[:7])\\n    if origin != base:\\n        print('REMOTE_HAS_NEW_COMMITS=yes'); sys.exit(3)\\n    push=run(['git','push',auth_url,'main:main'], check=False)\\n    if push.returncode:\\n        print('PUSH=failed'); print((push.stderr or push.stdout).replace(token,'[REDACTED]')[-1000:]); sys.exit(push.returncode)\\n    run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n    print('PUSH=success'); print('REMOTE_AFTER='+run(['git','rev-parse','--short','origin/main']).stdout.strip())\\nfinally:\\n    token=None; auth_url=None\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"REMOTE_BEFORE=41f11d2\\nLOCAL_HEAD=cd2d954\\nPUSH=success\\nREMOTE_AFTER=cd2d954\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}",
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      "tool_calls": [
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          "id": "call_Wy2SRVv4RIxBvjdcSKYHqUhv",
          "call_id": "call_Wy2SRVv4RIxBvjdcSKYHqUhv",
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            "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Compile, pytest, Git-Safety, Status, Commit und Push durchführen\",\"id\":\"b1-4\",\"status\":\"completed\"}]}"
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      "content": "{\"todos\": [{\"id\": \"b1-1\", \"content\": \"Schema/Modelle für Instrument-, Account-Mapping und Broker Dry-Run Phase B1 erweitern\", \"status\": \"completed\"}, {\"id\": \"b1-2\", \"content\": \"Import Wizard, Manual Review Queue, Data Quality Center, Safe Mode UI als Dashboard-Seiten/MVP implementieren\", \"status\": \"completed\"}, {\"id\": \"b1-3\", \"content\": \"Tests für Mapping, Dry-Run, Review, DQ, Read-only, Audit und Git-Safety ergänzen\", \"status\": \"completed\"}, {\"id\": \"b1-4\", \"content\": \"Compile, pytest, Git-Safety, Status, Commit und Push durchführen\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}",
      "tool_call_id": "call_Wy2SRVv4RIxBvjdcSKYHqUhv"
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      "role": "assistant",
      "content": "Erledigt, Sir. Phase B1 ist implementiert, getestet, committed und gepusht.\n\n## Ergebnis\n\n- Commit: `cd2d954`\n- Remote HEAD nach Push: `cd2d954`\n- Push Status: erfolgreich\n- Git Status: sauber, `main...origin/main`\n- Git-Safety: `GIT_SAFETY_OK`\n- Tests: `134 passed`\n- Compile: OK\n\n## Implementierte Module\n\n### 1. Instrument Master / Mapping Layer\n\nNeu/erweitert:\n\n- `instrument_mappings`\n- Mapping-Logik in:\n  - `src/jarvis_finance/imports/broker_mapping.py`\n\nImplementiert:\n\n- `source_platform`\n- `source_account`\n- `source_label`\n- `normalized_name`\n- `isin`\n- `ticker`\n- `exchange`\n- `currency`\n- `asset_class`\n- optionales `instrument_id`\n- `mapping_status`\n- `confidence`\n- `notes`\n- `created_at`\n- `updated_at`\n\nRegeln umgesetzt:\n\n- ISIN ist Primäridentifikation für Aktien/ETFs.\n- Ticker + Exchange nur Fallback und review-pflichtig.\n- Name allein wird nicht automatisch gemappt.\n- Missing ISIN erzeugt `needs_manual_review` mit Quality Flag `missing_isin`.\n- Manuelle Mapping-Bestätigung erzeugt Audit-Log.\n- Unsichere Mappings bleiben blockiert/review-pflichtig.\n\n### 2. Platform / Account Mapping\n\nErweitert:\n\n- `platform_account_mappings`\n\nImplementiert:\n\n- `source_platform`\n- `source_account_label`\n- `normalized_platform`\n- `normalized_account_name`\n- `internal_platform_id`\n- `internal_account_id`\n- `account_type`\n- `currency`\n- `mapping_status`\n- `notes`\n- timestamps\n\nRegeln umgesetzt:\n\n- PostFinance, True Wealth, Raiffeisen werden klar getrennt.\n- Account-Typen vorbereitet:\n  - `brokerage`\n  - `cash`\n  - `robo_portfolio`\n  - `reserve`\n  - `other`\n- Raiffeisen wird ohne detaillierte Instrumentpositionen defensiv als Cash-/Kontrollsnapshot behandelt.\n\n### 3. Broker Import Dry-Run Model\n\nErweitert:\n\n- `broker_import_dry_runs`\n\nImplementiert:\n\n- `source_platform`\n- `source_file_type`\n- `source_filename_hash`\n- `detected_snapshot_date`\n- `snapshot_date_status`\n- `rows_total`\n- `candidate_positions`\n- `candidate_cash_rows`\n- `mapped_positions`\n- `blocked_positions`\n- `warnings_count`\n- `errors_count`\n- `quality_flags_json`\n- `summary_json`\n- `created_at`\n\nWichtig:\n\n- Dry-Run schreibt keine produktiven Positionen.\n- Summary wird ohne raw rows / echte Werte persistiert.\n- Produktiver Ledger-/Snapshot-Import bleibt deaktiviert.\n\n## Dashboard/UI\n\n### Neue Seite: Import Wizard\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n\nStatus:\n\n- eingebaut und registriert\n- Read-only default\n- Quelle auswählbar:\n  - PostFinance\n  - True Wealth\n  - Raiffeisen\n  - Manuell / Sonstige\n- Upload-/Runtime-Hinweis sichtbar\n- Dry-Run-Zusammenfassungen sichtbar\n- Mapping-/Review-Daten sichtbar\n- Commit-Button sichtbar, aber deaktiviert\n\n### Neue Seite: Manual Review Queue\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n\nStatus:\n\n- eingebaut und registriert\n- zeigt offene Mapping-Probleme\n- vorbereitet für:\n  - Mapping bestätigen\n  - ISIN ergänzen\n  - Ticker ergänzen\n  - Exchange ergänzen\n  - Account zuweisen\n  - Position ignorieren\n  - Notiz speichern\n- produktive Positionserstellung bleibt deaktiviert\n\n### Neue Seite: Data Quality Center\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n\nStatus:\n\n- eingebaut und registriert\n- zeigt:\n  - aktive Alerts\n  - resolved Alerts\n  - fehlende Crypto-Preise\n  - fehlende FX\n  - fehlende ISIN\n  - fehlende CoinGecko-ID\n  - `snapshot_only`\n  - `cost_basis_uncertain`\n  - alte aktive Alerts\n- Buttons vorbereitet:\n  - Data Quality Recheck\n  - Resolve Fixed Alerts\n- Buttons sind in Phase B1 sichtbar, aber deaktiviert.\n\n### Safe Mode / Read-only Mode\n\nImplementiert:\n\n- Import Wizard zeigt Read-only Mode.\n- Produktive Commit-Aktionen sind blockiert.\n- `assert_write_enabled(write_enabled=False)` blockiert Commit-Aktionen per `PermissionError`.\n- Commit-Button in UI ist deaktiviert.\n- Keine Rollen-/Auth-Komplexität eingebaut — wie gewünscht.\n\n## Neue/geänderte Dateien\n\nNeu:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_broker_mapping_import_wizard.py`\n\nGeändert:\n\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/__init__.py`\n- `tests/unit/test_schema.py`\n\n## Tests ergänzt\n\nAbgedeckt:\n\n- `instrument_mappings` anlegen\n- ISIN-Mapping auf vorhandenes Instrument\n- fehlende ISIN → `needs_manual_review`\n- Name ohne ISIN/Ticker wird nicht automatisch gemappt\n- Platform-/Account-Mapping für PostFinance\n- Platform-/Account-Mapping für True Wealth\n- Raiffeisen defensiv als Cash/Kontrollsnapshot\n- Broker Import Dry Run speichert nur Summary\n- Dry Run erzeugt keine produktiven Positionen\n- Import Wizard Module importieren/rendern sauber\n- Manual Review Queue lädt offene Mapping-Probleme\n- Data Quality Center zeigt fehlende ISIN / FX / Preise\n- Read-only Mode blockiert Commit-Aktionen\n- Audit-Log bei manueller Mapping-Bestätigung\n- keine echten Dateien im Repo\n- Schema-Version / Tabellenfelder aktualisiert\n\nTestergebnis:\n\n- `134 passed`\n\n## Echte Daten / produktiver Import\n\nNicht durchgeführt:\n\n- keine echten Aktien-/ETF-Daten produktiv importiert\n- keine echten Cash-/Depotwerte produktiv importiert\n- keine produktiven `positions_snapshot`-Writes aus Brokerdateien\n- keine echten Dateien ins Repo kopiert\n- keine echten Werte/Mengen im Chat ausgegeben\n\n## Nächste Empfehlung\n\nAls nächster kontrollierter Schritt wäre sinnvoll:\n\n**Phase B2 — synthetische Parser/Dry-Run-Pipeline pro Quelle**\n\nReihenfolge:\n\n1. PostFinance synthetischer DOCX-/Tabellenparser\n2. True Wealth synthetischer DOCX-/Tabellenparser\n3. Raiffeisen synthetischer XLSX-Kontrollsnapshot-Parser\n4. Dry-Run UI mit aggregierter Summary füttern\n5. Review Queue aus Parser-Ergebnissen erzeugen\n6. weiterhin kein produktiver Import echter Daten ohne separate Freigabe\n\nMonte-Carlo, Backtesting, Rebalancing, Scores und Heatmaps wurden nicht begonnen.",
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              "text": "Erledigt, Sir. Phase B1 ist implementiert, getestet, committed und gepusht.\n\n## Ergebnis\n\n- Commit: `cd2d954`\n- Remote HEAD nach Push: `cd2d954`\n- Push Status: erfolgreich\n- Git Status: sauber, `main...origin/main`\n- Git-Safety: `GIT_SAFETY_OK`\n- Tests: `134 passed`\n- Compile: OK\n\n## Implementierte Module\n\n### 1. Instrument Master / Mapping Layer\n\nNeu/erweitert:\n\n- `instrument_mappings`\n- Mapping-Logik in:\n  - `src/jarvis_finance/imports/broker_mapping.py`\n\nImplementiert:\n\n- `source_platform`\n- `source_account`\n- `source_label`\n- `normalized_name`\n- `isin`\n- `ticker`\n- `exchange`\n- `currency`\n- `asset_class`\n- optionales `instrument_id`\n- `mapping_status`\n- `confidence`\n- `notes`\n- `created_at`\n- `updated_at`\n\nRegeln umgesetzt:\n\n- ISIN ist Primäridentifikation für Aktien/ETFs.\n- Ticker + Exchange nur Fallback und review-pflichtig.\n- Name allein wird nicht automatisch gemappt.\n- Missing ISIN erzeugt `needs_manual_review` mit Quality Flag `missing_isin`.\n- Manuelle Mapping-Bestätigung erzeugt Audit-Log.\n- Unsichere Mappings bleiben blockiert/review-pflichtig.\n\n### 2. Platform / Account Mapping\n\nErweitert:\n\n- `platform_account_mappings`\n\nImplementiert:\n\n- `source_platform`\n- `source_account_label`\n- `normalized_platform`\n- `normalized_account_name`\n- `internal_platform_id`\n- `internal_account_id`\n- `account_type`\n- `currency`\n- `mapping_status`\n- `notes`\n- timestamps\n\nRegeln umgesetzt:\n\n- PostFinance, True Wealth, Raiffeisen werden klar getrennt.\n- Account-Typen vorbereitet:\n  - `brokerage`\n  - `cash`\n  - `robo_portfolio`\n  - `reserve`\n  - `other`\n- Raiffeisen wird ohne detaillierte Instrumentpositionen defensiv als Cash-/Kontrollsnapshot behandelt.\n\n### 3. Broker Import Dry-Run Model\n\nErweitert:\n\n- `broker_import_dry_runs`\n\nImplementiert:\n\n- `source_platform`\n- `source_file_type`\n- `source_filename_hash`\n- `detected_snapshot_date`\n- `snapshot_date_status`\n- `rows_total`\n- `candidate_positions`\n- `candidate_cash_rows`\n- `mapped_positions`\n- `blocked_positions`\n- `warnings_count`\n- `errors_count`\n- `quality_flags_json`\n- `summary_json`\n- `created_at`\n\nWichtig:\n\n- Dry-Run schreibt keine produktiven Positionen.\n- Summary wird ohne raw rows / echte Werte persistiert.\n- Produktiver Ledger-/Snapshot-Import bleibt deaktiviert.\n\n## Dashboard/UI\n\n### Neue Seite: Import Wizard\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n\nStatus:\n\n- eingebaut und registriert\n- Read-only default\n- Quelle auswählbar:\n  - PostFinance\n  - True Wealth\n  - Raiffeisen\n  - Manuell / Sonstige\n- Upload-/Runtime-Hinweis sichtbar\n- Dry-Run-Zusammenfassungen sichtbar\n- Mapping-/Review-Daten sichtbar\n- Commit-Button sichtbar, aber deaktiviert\n\n### Neue Seite: Manual Review Queue\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n\nStatus:\n\n- eingebaut und registriert\n- zeigt offene Mapping-Probleme\n- vorbereitet für:\n  - Mapping bestätigen\n  - ISIN ergänzen\n  - Ticker ergänzen\n  - Exchange ergänzen\n  - Account zuweisen\n  - Position ignorieren\n  - Notiz speichern\n- produktive Positionserstellung bleibt deaktiviert\n\n### Neue Seite: Data Quality Center\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n\nStatus:\n\n- eingebaut und registriert\n- zeigt:\n  - aktive Alerts\n  - resolved Alerts\n  - fehlende Crypto-Preise\n  - fehlende FX\n  - fehlende ISIN\n  - fehlende CoinGecko-ID\n  - `snapshot_only`\n  - `cost_basis_uncertain`\n  - alte aktive Alerts\n- Buttons vorbereitet:\n  - Data Quality Recheck\n  - Resolve Fixed Alerts\n- Buttons sind in Phase B1 sichtbar, aber deaktiviert.\n\n### Safe Mode / Read-only Mode\n\nImplementiert:\n\n- Import Wizard zeigt Read-only Mode.\n- Produktive Commit-Aktionen sind blockiert.\n- `assert_write_enabled(write_enabled=False)` blockiert Commit-Aktionen per `PermissionError`.\n- Commit-Button in UI ist deaktiviert.\n- Keine Rollen-/Auth-Komplexität eingebaut — wie gewünscht.\n\n## Neue/geänderte Dateien\n\nNeu:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_broker_mapping_import_wizard.py`\n\nGeändert:\n\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/__init__.py`\n- `tests/unit/test_schema.py`\n\n## Tests ergänzt\n\nAbgedeckt:\n\n- `instrument_mappings` anlegen\n- ISIN-Mapping auf vorhandenes Instrument\n- fehlende ISIN → `needs_manual_review`\n- Name ohne ISIN/Ticker wird nicht automatisch gemappt\n- Platform-/Account-Mapping für PostFinance\n- Platform-/Account-Mapping für True Wealth\n- Raiffeisen defensiv als Cash/Kontrollsnapshot\n- Broker Import Dry Run speichert nur Summary\n- Dry Run erzeugt keine produktiven Positionen\n- Import Wizard Module importieren/rendern sauber\n- Manual Review Queue lädt offene Mapping-Probleme\n- Data Quality Center zeigt fehlende ISIN / FX / Preise\n- Read-only Mode blockiert Commit-Aktionen\n- Audit-Log bei manueller Mapping-Bestätigung\n- keine echten Dateien im Repo\n- Schema-Version / Tabellenfelder aktualisiert\n\nTestergebnis:\n\n- `134 passed`\n\n## Echte Daten / produktiver Import\n\nNicht durchgeführt:\n\n- keine echten Aktien-/ETF-Daten produktiv importiert\n- keine echten Cash-/Depotwerte produktiv importiert\n- keine produktiven `positions_snapshot`-Writes aus Brokerdateien\n- keine echten Dateien ins Repo kopiert\n- keine echten Werte/Mengen im Chat ausgegeben\n\n## Nächste Empfehlung\n\nAls nächster kontrollierter Schritt wäre sinnvoll:\n\n**Phase B2 — synthetische Parser/Dry-Run-Pipeline pro Quelle**\n\nReihenfolge:\n\n1. PostFinance synthetischer DOCX-/Tabellenparser\n2. True Wealth synthetischer DOCX-/Tabellenparser\n3. Raiffeisen synthetischer XLSX-Kontrollsnapshot-Parser\n4. Dry-Run UI mit aggregierter Summary füttern\n5. Review Queue aus Parser-Ergebnissen erzeugen\n6. weiterhin kein produktiver Import echter Daten ohne separate Freigabe\n\nMonte-Carlo, Backtesting, Rebalancing, Scores und Heatmaps wurden nicht begonnen."
            }
          ],
          "id": "msg_0c76e56576ffc0fb016a06ded8c58c819180f6b9eb997debc9",
          "phase": "final_answer"
        }
      ]
    }
  ]
}