{
  "session_id": "20260515_214220_1e2ab2",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-15T20:07:33.178179",
  "last_updated": "2026-05-15T21:53:05.221384",
  "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) [98% — 1,350/1,375 chars]\n══════════════════════════════════════════════\n**Notes:** Mein Herr. Loyaler Partner.\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\n**Beziehung:** Loyaler Partner\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n§\nFinance-system preference: phased execution/safety gates; no mass imports without approval; aggregate-only reporting; never expose real values/rows; User Mode should be polished dashboard UX: cards/charts, readable labels, hide IDs/raw debug.\n\nConversation started: Friday, May 15, 2026 09:42 PM\nModel: gpt-5.5\nProvider: openai-codex",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "browser_back",
        "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_click",
        "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
            }
          },
          "required": [
            "ref"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_console",
        "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
        "parameters": {
          "type": "object",
          "properties": {
            "clear": {
              "type": "boolean",
              "default": false,
              "description": "If true, clear the message buffers after reading"
            },
            "expression": {
              "type": "string",
              "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_get_images",
        "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_navigate",
        "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
        "parameters": {
          "type": "object",
          "properties": {
            "url": {
              "type": "string",
              "description": "The URL to navigate to (e.g., 'https://example.com')"
            }
          },
          "required": [
            "url"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_press",
        "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "key": {
              "type": "string",
              "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
            }
          },
          "required": [
            "key"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_scroll",
        "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "direction": {
              "type": "string",
              "enum": [
                "up",
                "down"
              ],
              "description": "Direction to scroll"
            }
          },
          "required": [
            "direction"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_snapshot",
        "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
        "parameters": {
          "type": "object",
          "properties": {
            "full": {
              "type": "boolean",
              "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
              "default": false
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_type",
        "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e3')"
            },
            "text": {
              "type": "string",
              "description": "The text to type into the field"
            }
          },
          "required": [
            "ref",
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_vision",
        "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA:<screenshot_path> in your response. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "What you want to know about the page visually. Be specific about what you're looking for."
            },
            "annotate": {
              "type": "boolean",
              "default": false,
              "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "clarify",
        "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "The question to present to the user."
            },
            "choices": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 4,
              "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "cronjob",
        "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "description": "One of: create, list, update, pause, resume, remove, run"
            },
            "job_id": {
              "type": "string",
              "description": "Required for update/pause/resume/remove/run"
            },
            "prompt": {
              "type": "string",
              "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
            },
            "schedule": {
              "type": "string",
              "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
            },
            "name": {
              "type": "string",
              "description": "Optional human-friendly name"
            },
            "repeat": {
              "type": "integer",
              "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
            },
            "deliver": {
              "type": "string",
              "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
            },
            "skills": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
            },
            "model": {
              "type": "object",
              "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
              "properties": {
                "provider": {
                  "type": "string",
                  "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:<name>' for a provider defined in custom_providers config — always include the ':<name>' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
                },
                "model": {
                  "type": "string",
                  "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
                }
              },
              "required": [
                "model"
              ]
            },
            "script": {
              "type": "string",
              "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
            },
            "no_agent": {
              "type": "boolean",
              "default": false,
              "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
            },
            "context_from": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
            },
            "enabled_toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
            },
            "workdir": {
              "type": "string",
              "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "delegate_task",
        "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
        "parameters": {
          "type": "object",
          "properties": {
            "goal": {
              "type": "string",
              "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
            },
            "context": {
              "type": "string",
              "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
            },
            "toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
            },
            "tasks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "goal": {
                    "type": "string",
                    "description": "Task goal"
                  },
                  "context": {
                    "type": "string",
                    "description": "Task-specific context"
                  },
                  "toolsets": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', '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": 135,
  "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": "[M G] Sehr gut. Crypto ist jetzt erfolgreich vervollständigt. Für Aktien/ETFs möchte ich noch keinen definitiven Import aus den PostFinance-/True-Wealth-DOCX-Dateien freigeben.\n\nDer Dry Run zeigt:\n\n* 42 Positionen erkannt\n* nur 7 mit ISIN\n* 35 ohne ISIN\n* 39 blockierte Positionen\n* keine Cost Basis erkannt\n* keine vollständige Transaktionshistorie\n\nDas ist zu unsicher für einen direkten produktiven Import.\n\nBitte starte deshalb jetzt keinen finalen Aktien-/ETF-Import, sondern baue zuerst einen kontrollierten Instrument-Resolver und Mapping-Review-Workflow.\n\nZiel:\nAus PostFinance und True Wealth sollen Aktien-/ETF-Positionen zunächst als Review-Kandidaten extrahiert werden. Erst nach manueller Bestätigung werden sie als Initial Snapshot importiert.\n\nWichtige Regeln:\n\n* Keine echten Broker-Dateien ins Git-Repo.\n* Keine echten Mengen/Werte im Chat.\n* Keine produktive Buchung ohne Bestätigung.\n* Keine erfundene ISIN.\n* Keine erfundene Transaktionshistorie.\n* Wenn keine Kaufhistorie vorhanden ist: Initial Snapshot.\n* Cost Basis fehlt → cost_basis_uncertain.\n* Marktwert aus Broker-DOCX nicht als aktuelle Bewertung übernehmen.\n* Aktuelle Bewertung später über Market-Data-Provider.\n* Jede finale Buchung braucht Audit-Log.\n* Runtime-Daten bleiben außerhalb Git.\n\n## 1. Lokales Qwen nur als Extraktionshilfe verwenden\n\nDu darfst das lokal laufende Qwen-Modell über llama.cpp für die Auswertung der PostFinance-/True-Wealth-DOCX-Dateien verwenden, aber nur als assistiven Parser.\n\nErlaubt:\n\n* Tabellen/Textblöcke aus DOCX analysieren\n* mögliche Positionen extrahieren\n* Name, Ticker, Währung, Menge, Plattform/Konto erkennen\n* mögliche ISINs erkennen, falls im Text vorhanden\n* unklare Zeilen markieren\n* Mapping-Vorschläge formulieren\n\nNicht erlaubt:\n\n* finale Instrument-ID entscheiden\n* ISIN raten\n* Position produktiv importieren\n* Ledger direkt schreiben\n* Kurse oder Performance final berechnen\n\nAlle Qwen-Ergebnisse müssen in eine Review Queue / Staging-Tabelle und deterministisch validiert werden.\n\n## 2. Review-/Staging-Modell für Aktien/ETFs bauen\n\nBitte erstelle oder nutze eine Staging-Struktur für Import-Kandidaten, z.B.:\n\ninstrument_import_candidates\n\nFelder:\n\n* candidate_id\n* source_file\n* platform\n* account\n* source_row_number\n* raw_name\n* raw_ticker\n* raw_isin\n* raw_currency\n* raw_quantity\n* raw_asset_class\n* extracted_by: deterministic_parser / qwen_local / manual\n* extraction_confidence\n* proposed_name\n* proposed_ticker\n* proposed_isin\n* proposed_exchange\n* proposed_currency\n* proposed_asset_class\n* provider\n* provider_symbol\n* mapping_status:\n\n  * exact_isin_match\n  * probable\n  * needs_manual_review\n  * rejected\n  * confirmed\n* review_note\n* created_at\n* updated_at\n\nKeine echten Werte ins Repo.\n\n## 3. Instrument-Resolver bauen\n\nBitte baue einen Instrument Resolver für Aktien/ETFs.\n\nPriorität der Identifikation:\n\n1. ISIN, falls vorhanden\n2. ISIN + Name\n3. Ticker + Exchange + Currency\n4. Name-Suche mit Kandidatenliste\n5. manuelle Bestätigung\n\nSymbol/Ticker allein darf nie automatisch eindeutig sein.\n\nDer Resolver soll später APIs verwenden können, z.B.:\n\n* OpenFIGI für Identifier-/FIGI-Mapping\n* Finnhub/FMP/TwelveData/Stooq/Yahoo-Fallback für Provider-Symbole und Preise\n* manuelles Mapping, falls API nicht eindeutig ist\n\nFür MVP:\n\n* Resolver kann zunächst Kandidaten erzeugen und Review verlangen\n* nur eindeutig bestätigte Mappings dürfen produktiv importiert werden\n\n## 4. Dashboard: Instrument Search / Add Position UI\n\nBitte baue eine UI, mit der ich Aktien/ETFs später manuell hinzufügen kann.\n\nWorkflow:\n\n### Suche\n\nEingabe:\n\n* ISIN oder Name oder Ticker\n\nOptionale Filter:\n\n* Assetklasse: Aktie / ETF\n* Börsenplatz\n* Währung\n* Land\n* Anbieter/Provider\n\nErgebnisliste:\n\n* Name\n* ISIN\n* Ticker\n* Exchange\n* Währung\n* Assetklasse\n* Provider-Symbol\n* Mapping-Status\n* Datenquelle\n\nAktion:\n\n* Auswählen\n* Details anzeigen\n* Manuell anlegen, falls kein Treffer\n\n### Position hinzufügen\n\nNach Auswahl:\n\n* Depot/Konto auswählen: PostFinance / True Wealth / Raiffeisen\n* Menge eingeben\n* Snapshot-Datum\n* Währung\n* Einstand / Cost Basis optional\n*\nWenn Cost Basis fehlt: cost_basis_uncertain\n* Notiz\n* Review\n* Bestätigen\n\nSpeicherung:\n\n* Instrument anlegen/aktualisieren\n* initial_position_snapshot erzeugen\n* Audit-Log schreiben\n* keine stille Überschreibung\n\n## 5. Mapping Review Queue\n\nBitte baue eine Review-Ansicht für importierte Kandidaten aus PostFinance/True Wealth.\n\nAnzeige:\n\n* Quelle: PostFinance / True Wealth\n* erkannter Name\n* erkannter Ticker\n* erkannte ISIN, falls vorhanden\n* Währung\n* Assetklasse\n* vorgeschlagene Kandidaten\n* Status\n\nAktionen:\n\n* Kandidat bestätigen\n* Kandidat ablehnen\n* Instrument manuell suchen\n* ISIN manuell ergänzen\n* Ticker/Börse/Währung manuell korrigieren\n* als später prüfen markieren\n\nErst confirmed Kandidaten dürfen importiert werden.\n\n## 6. Erneuter Dry Run für PostFinance/True Wealth\n\nBitte nach Bau des Review-Workflows die beiden DOCX-Dateien erneut strukturell analysieren.\n\nZiel:\n\n* Kandidaten in Review Queue erzeugen\n* nichts produktiv importieren\n* keine echten Werte im Chat\n\nBericht aggregiert:\n\n* Anzahl Kandidaten\n* Anzahl mit ISIN\n* Anzahl ohne ISIN\n* Anzahl mit Ticker\n* Anzahl mit Währung\n* Anzahl exact/probable/needs_review\n* Anzahl bestätigungsfähig\n* Anzahl blockiert\n* ob Qwen geholfen hat\n* ob Parser und Qwen übereinstimmen\n\n## 7. Definitiver Import erst später\n\nNach dem Review will ich entscheiden:\n\nOption A:\nNur bestätigte Kandidaten importieren.\n\nOption B:\nIch ergänze fehlende ISINs im Dashboard.\n\nOption C:\nIch liefere bessere Broker-Exports, z.B. CSV/XLSX mit ISIN, Menge, Währung, Marktwert.\n\nBitte empfehle nach dem erneuten Dry Run, welche Option am saubersten ist.\n\n## 8. Tests\n\nBitte Tests ergänzen für:\n\n* Qwen-Extraktion erzeugt nur Kandidaten, keine Buchungen\n* deterministischer Parser erzeugt Kandidaten\n* Kandidat ohne ISIN bleibt needs_manual_review\n* Kandidat mit ISIN kann exact_isin_match werden\n* Ticker allein importiert nicht automatisch\n* manuelle Bestätigung setzt confirmed\n* bestätigter Kandidat kann Initial Snapshot erzeugen\n* unbestätigter Kandidat kann nicht produktiv importiert werden\n* Cost Basis fehlt → cost_basis_uncertain\n* Audit-Log bei finalem Import\n* keine echten Daten im Repo\n* Git-Safety bleibt sauber\n\nBitte nach Abschluss:\n\n* Compile\n* pytest\n* Git-Safety\n* Commit\n* Push\n\nBericht:\n\n* Qwen verwendet: ja/nein\n* Review Queue gebaut: ja/nein\n* Instrument Resolver gebaut: ja/nein\n* UI-Suche gebaut: ja/nein\n* Kandidaten aus PostFinance/True Wealth erzeugt: ja/nein\n* aggregierte Dry-Run-Resultate\n* Tests\n* Git-Safety\n* Commit-Hash\n* Push-Status\n* offene Entscheidungen\n\nWichtig:\nKein produktiver Aktien-/ETF-Import ohne meine spätere Freigabe."
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\\\"trading_currency\\\": \\\"TEXT\\\",\\n    24|    \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n    25|    \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n    26|    \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n    27|    \\\"split_or_corporate_action_review_required\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n    28|}\\n    29|\\n    30|TEXT_AFFINITY_COLUMNS = {\\n    31|    \\\"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    32|    \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n    33|    \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n    34|    \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n    35|    \\\"fx_rates\\\": {\\\"rate\\\"},\\n    36|    \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\\n    37|}\\n    38|\\n    39|\\n    40|def utc_now() -> str:\\n    41|    return datetime.now(timezone.utc).isoformat()\\n    42|\\n    43|\\n    44|def checksum_sql(sql: str) -> str:\\n    45|    return hashlib.sha256(sql.encode(\\\"utf-8\\\")).hexdigest()\\n    46|\\n    47|\\n    48|def get_schema_version(conn: Connection) -> int:\\n    49|    row = conn.execute(\\\"SELECT MAX(version) AS version FROM schema_migrations\\\").fetchone()\\n    50|    return int(row[\\\"version\\\"] or 0) if row else 0\\n    51|\\n    52|\\n    53|def _table_columns(conn: Connection, table: str) -> dict[str, str]:\\n    54|    return {row[\\\"name\\\"]: (row[\\\"type\\\"] or \\\"\\\") for row in conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()}\\n    55|\\n    56|\\n    57|def _add_missing_instrument_columns(conn: Connection) -> None:\\n    58|    existing = _table_columns(conn, \\\"instruments\\\")\\n    59|    for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():\\n    60|        if name not in existing:\\n    61|            conn.execute(f\\\"ALTER TABLE instruments ADD COLUMN {name} {col_type}\\\")\\n    62|\\n    63|\\n    64|def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:\\n    65|    cols = conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()\\n    66|    if not cols:\\n    67|        return\\n    68|    needs_rebuild = any(row[\\\"name\\\"] in text_columns and (row[\\\"type\\\"] or \\\"\\\").upper() != \\\"TEXT\\\" for row in cols)\\n    69|    if not needs_rebuild:\\n    70|        return\\n    71|    tmp = f\\\"{table}__text_migration\\\"\\n    72|    col_defs: list[str] = []\\n    73|    pk_cols = [row[\\\"name\\\"] for row in cols if row[\\\"pk\\\"]]\\n    74|    for row in cols:\\n    75|        name = row[\\\"name\\\"]\\n    76|        col_type = \\\"TEXT\\\" if name in text_columns else (row[\\\"type\\\"] or \\\"TEXT\\\")\\n    77|        parts = [name, col_type]\\n    78|        if row[\\\"pk\\\"] and len(pk_cols) == 1:\\n    79|            parts.append(\\\"PRIMARY KEY\\\")\\n    80|        if row[\\\"notnull\\\"]:\\n    81|            parts.append(\\\"NOT NULL\\\")\\n    82|        if row[\\\"dflt_value\\\"] is not None:\\n    83|            parts.append(f\\\"DEFAULT {row['dflt_value']}\\\")\\n    84|        col_defs.append(\\\" \\\".join(parts))\\n    85|    if len(pk_cols) > 1:\\n    86|        col_defs.append(\\\"PRIMARY KEY (\\\" + \\\", \\\".join(pk_cols) + \\\")\\\")\\n    87|    conn.execute(f\\\"DROP TABLE IF EXISTS {tmp}\\\")\\n    88|    conn.execute(f\\\"CREATE TABLE 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{name} {col_type}\\\")\\n   103|\\n   104|\\n   105|def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n   106|    conn.executescript(\\n   107|        \\\"\\\"\\\"\\n   108|        CREATE TABLE IF NOT EXISTS instrument_mappings (\\n   109|            mapping_id TEXT PRIMARY KEY,\\n   110|            source_name TEXT,\\n   111|            source_platform TEXT NOT NULL,\\n   112|            source_account TEXT,\\n   113|            source_label TEXT NOT NULL,\\n   114|            normalized_name TEXT NOT NULL,\\n   115|            isin TEXT,\\n   116|            ticker TEXT,\\n   117|            exchange TEXT,\\n   118|            currency TEXT,\\n   119|            asset_class TEXT NOT NULL DEFAULT 'other',\\n   120|            source_instrument_name TEXT,\\n   121|            source_isin TEXT,\\n   122|            source_ticker TEXT,\\n   123|            source_exchange TEXT,\\n   124|            source_currency TEXT,\\n   125|            instrument_id TEXT REFERENCES instruments(instrument_id),\\n   126|            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n   127|            confidence TEXT NOT NULL DEFAULT '0',\\n   128|            quality_flags_json TEXT,\\n   129|            notes TEXT,\\n   130|            created_at TEXT NOT NULL,\\n   131|            updated_at TEXT\\n   132|        );\\n   133|\\n   134|        CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n   135|            mapping_id TEXT PRIMARY KEY,\\n   136|            source_name TEXT,\\n   137|            source_platform TEXT NOT NULL,\\n   138|            source_platform_label TEXT,\\n   139|            source_account_label TEXT NOT NULL,\\n   140|            normalized_platform TEXT NOT NULL,\\n   141|            normalized_account_name TEXT NOT NULL,\\n   142|            source_account_type TEXT,\\n   143|            account_type TEXT NOT NULL DEFAULT 'other',\\n   144|            source_currency TEXT,\\n   145|            currency TEXT,\\n   146|            platform_id TEXT REFERENCES platforms(platform_id),\\n   147|            account_id TEXT REFERENCES accounts(account_id),\\n   148|            internal_platform_id TEXT REFERENCES platforms(platform_id),\\n   149|            internal_account_id TEXT REFERENCES accounts(account_id),\\n   150|            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n   151|            quality_flags_json TEXT,\\n   152|            notes TEXT,\\n   153|            created_at TEXT NOT NULL,\\n   154|            updated_at TEXT\\n   155|        );\\n   156|\\n   157|        CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n   158|            dry_run_id TEXT PRIMARY KEY,\\n   159|            source_name TEXT,\\n   160|            source_platform TEXT NOT NULL,\\n   161|            source_file_label TEXT,\\n   162|            source_file_type TEXT NOT NULL,\\n   163|            source_hash TEXT,\\n   164|            source_filename_hash TEXT,\\n   165|            detected_snapshot_date TEXT,\\n   166|            snapshot_date_status TEXT NOT NULL DEFAULT 'missing',\\n   167|            detected_sections_json TEXT NOT NULL,\\n   168|            field_coverage_json TEXT,\\n   169|            rows_total INTEGER NOT NULL DEFAULT 0,\\n   170|            rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n   171|            rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n   172|            candidate_positions INTEGER NOT NULL DEFAULT 0,\\n   173|            candidate_cash_rows INTEGER NOT NULL DEFAULT 0,\\n   174|            mapped_positions INTEGER NOT NULL DEFAULT 0,\\n   175|            blocked_positions INTEGER NOT NULL DEFAULT 0,\\n   176|            warnings_count INTEGER NOT NULL DEFAULT 0,\\n   177|            errors_count INTEGER NOT NULL DEFAULT 0,\\n   178|            quality_flags_json TEXT NOT NULL,\\n   179|            summary_json TEXT NOT NULL DEFAULT '{}',\\n   180|            created_at TEXT NOT NULL,\\n   181|            notes TEXT\\n   182|        );\\n   183|        \\\"\\\"\\\"\\n   184|    )\\n   185|    _add_missing_columns(conn, \\\"instrument_mappings\\\", {\\n   186|        \\\"source_name\\\": \\\"TEXT\\\",\\n   187|        \\\"source_platform\\\": \\\"TEXT\\\",\\n   188|        \\\"source_account\\\": \\\"TEXT\\\",\\n   189|        \\\"source_label\\\": \\\"TEXT\\\",\\n   190|        \\\"normalized_name\\\": \\\"TEXT\\\",\\n   191|        \\\"isin\\\": \\\"TEXT\\\",\\n   192|        \\\"ticker\\\": \\\"TEXT\\\",\\n   193|        \\\"exchange\\\": \\\"TEXT\\\",\\n   194|        \\\"currency\\\": \\\"TEXT\\\",\\n   195|        \\\"asset_class\\\": \\\"TEXT DEFAULT 'other'\\\",\\n   196|        \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\n   197|    })\\n   198|    _add_missing_columns(conn, \\\"platform_account_mappings\\\", {\\n   199|        \\\"source_platform\\\": \\\"TEXT\\\",\\n   200|        \\\"normalized_platform\\\": \\\"TEXT\\\",\\n   201|        \\\"normalized_account_name\\\": \\\"TEXT\\\",\\n   202|        \\\"account_type\\\": \\\"TEXT DEFAULT 'other'\\\",\\n   203|        \\\"currency\\\": \\\"TEXT\\\",\\n   204|        \\\"internal_platform_id\\\": \\\"TEXT\\\",\\n   205|        \\\"internal_account_id\\\": \\\"TEXT\\\",\\n   206|    })\\n   207|    _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\n   208|        \\\"source_platform\\\": \\\"TEXT\\\",\\n   209|        \\\"source_filename_hash\\\": \\\"TEXT\\\",\\n   210|        \\\"detected_snapshot_date\\\": \\\"TEXT\\\",\\n   211|        \\\"snapshot_date_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n   212|        \\\"candidate_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n   213|        \\\"candidate_cash_rows\\\": \\\"INTEGER DEFAULT 0\\\",\\n   214|        \\\"mapped_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n   215|        \\\"blocked_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n   216|        \\\"warnings_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n   217|        \\\"errors_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n   218|        \\\"summary_json\\\": \\\"TEXT DEFAULT '{}'\\\",\\n   219|        \\\"session_status\\\": \\\"TEXT DEFAULT 'active'\\\",\\n   220|        \\\"is_current\\\": \\\"INTEGER DEFAULT 0\\\",\\n   221|        \\\"archived_at\\\": \\\"TEXT\\\",\\n   222|        \\\"discarded_at\\\": \\\"TEXT\\\",\\n   223|    })\\n   224|\\n   225|\\n   226|def _create_broker_import_review_items(conn: Connection) -> None:\\n   227|    conn.executescript(\\n   228|        \\\"\\\"\\\"\\n   229|        CREATE TABLE IF NOT EXISTS broker_import_review_items (\\n   230|            review_item_id TEXT PRIMARY KEY,\\n   231|            dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n   232|            source_platform TEXT NOT NULL,\\n   233|            source_file_type TEXT NOT NULL,\\n   234|            source_row_ref TEXT NOT NULL,\\n   235|            row_hash TEXT NOT NULL,\\n   236|            source_label TEXT,\\n   237|            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      "content": "{\"content\": \"   260|        \\\"snapshot_date_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n   261|        \\\"ticker_exchange_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n   262|        \\\"account_mapping_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n   263|    })\\n   264|\\n   265|def _create_broker_import_execution_plans(conn: Connection) -> None:\\n   266|    conn.executescript(\\n   267|        \\\"\\\"\\\"\\n   268|        CREATE TABLE IF NOT EXISTS broker_import_execution_plans (\\n   269|            execution_plan_id TEXT PRIMARY KEY,\\n   270|            dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n   271|            review_item_id TEXT NOT NULL REFERENCES broker_import_review_items(review_item_id),\\n   272|            source_platform TEXT NOT NULL,\\n   273|            target_account_id TEXT NOT NULL REFERENCES accounts(account_id),\\n   274|            target_instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n   275|            transaction_type TEXT NOT NULL DEFAULT 'initial_position_snapshot',\\n   276|            snapshot_date TEXT,\\n   277|            payload_status TEXT NOT NULL,\\n   278|            payload_quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n   279|            source_row_hash TEXT NOT NULL,\\n   280|            planned_write_summary_json TEXT NOT NULL DEFAULT '{}',\\n   281|            execution_status TEXT NOT NULL DEFAULT 'planned',\\n   282|            transaction_id TEXT REFERENCES transactions(transaction_id),\\n   283|            created_at TEXT NOT NULL,\\n   284|            updated_at TEXT,\\n   285|            executed_at TEXT,\\n   286|            notes TEXT\\n   287|        );\\n   288|        CREATE UNIQUE INDEX IF NOT EXISTS idx_broker_execution_plan_review_item ON broker_import_execution_plans(review_item_id);\\n   289|        CREATE UNIQUE INDEX IF NOT EXISTS idx_broker_execution_plan_source_hash ON broker_import_execution_plans(source_row_hash, target_account_id, target_instrument_id, transaction_type);\\n   290|        \\\"\\\"\\\"\\n   291|    )\\n   292|\\n   293|def _add_transaction_void_columns(conn: Connection) -> None:\\n   294|    _add_missing_columns(conn, \\\"transactions\\\", {\\n   295|        \\\"is_voided\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n   296|        \\\"voided_at\\\": \\\"TEXT\\\",\\n   297|        \\\"void_reason\\\": \\\"TEXT\\\",\\n   298|        \\\"voided_by\\\": \\\"TEXT\\\",\\n   299|        \\\"correction_of_transaction_id\\\": \\\"TEXT REFERENCES transactions(transaction_id)\\\",\\n   300|        \\\"correction_reason\\\": \\\"TEXT\\\",\\n   301|    })\\n   302|    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_voided ON transactions(is_voided)\\\")\\n   303|    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_correction_of ON transactions(correction_of_transaction_id)\\\")\\n   304|\\n   305|\\n   306|def _create_fx_market_data_tables(conn: Connection) -> None:\\n   307|    conn.executescript(\\n   308|        \\\"\\\"\\\"\\n   309|        CREATE TABLE IF NOT EXISTS instrument_price_mappings (\\n   310|            mapping_id TEXT PRIMARY KEY,\\n   311|            instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n   312|            isin TEXT,\\n   313|            ticker TEXT,\\n   314|            exchange TEXT,\\n   315|            currency TEXT,\\n   316|            provider TEXT NOT NULL,\\n   317|            provider_symbol TEXT,\\n   318|            provider_market TEXT,\\n   319|            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n   320|            confidence TEXT,\\n   321|            notes TEXT,\\n   322|            created_at TEXT NOT NULL,\\n   323|            updated_at TEXT,\\n   324|            UNIQUE(instrument_id, provider)\\n   325|        );\\n   326|        CREATE INDEX IF NOT EXISTS idx_instrument_price_mappings_status ON instrument_price_mappings(mapping_status);\\n   327|        CREATE INDEX IF NOT EXISTS idx_instrument_price_mappings_provider_symbol ON instrument_price_mappings(provider, provider_symbol);\\n   328|        \\\"\\\"\\\"\\n   329|    )\\n   330|    _add_missing_columns(conn, \\\"market_prices\\\", {\\n   331|        \\\"provider_market\\\": \\\"TEXT\\\",\\n   332|        \\\"error_message\\\": \\\"TEXT\\\",\\n   333|        \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n   334|    })\\n   335|    _add_missing_columns(conn, \\\"fx_rates\\\", {\\n   336|        \\\"error_status\\\": \\\"TEXT\\\",\\n   337|        \\\"error_message\\\": \\\"TEXT\\\",\\n   338|    })\\n   339|    _add_missing_columns(conn, \\\"instrument_price_mappings\\\", {\\n   340|        \\\"hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n   341|        \\\"is_currency_hedged\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n   342|        \\\"hedged_to_currency\\\": \\\"TEXT\\\",\\n   343|        \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n   344|        \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n   345|        \\\"trading_currency\\\": \\\"TEXT\\\",\\n   346|        \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n   347|    })\\n   348|    conn.executescript(\\n   349|        \\\"\\\"\\\"\\n   350|        CREATE TABLE IF NOT EXISTS instrument_catalog_entries (\\n   351|            catalog_entry_id TEXT PRIMARY KEY,\\n   352|            asset_class TEXT NOT NULL,\\n   353|            name TEXT NOT NULL,\\n   354|            normalized_name TEXT NOT NULL,\\n   355|            isin TEXT,\\n   356|            ticker TEXT,\\n   357|            exchange TEXT,\\n   358|            trading_currency TEXT,\\n   359|            instrument_currency TEXT,\\n   360|            provider TEXT,\\n   361|            provider_symbol TEXT,\\n   362|            provider_market TEXT,\\n   363|            country TEXT,\\n   364|            sector TEXT,\\n   365|            issuer TEXT,\\n   366|            fund_type TEXT,\\n   367|            is_currency_hedged INTEGER,\\n   368|            hedged_to_currency TEXT,\\n   369|            hedge_status TEXT NOT NULL DEFAULT 'unknown',\\n   370|            instrument_status TEXT NOT NULL DEFAULT 'unknown',\\n   371|            valuation_policy TEXT NOT NULL DEFAULT 'live_price',\\n   372|            source TEXT NOT NULL DEFAULT 'manual',\\n   373|            source_confidence TEXT NOT NULL DEFAULT 'low',\\n   374|            last_verified_at TEXT,\\n   375|            notes TEXT,\\n   376|            created_at TEXT NOT NULL,\\n   377|            updated_at TEXT\\n   378|        );\\n   379|        CREATE INDEX IF NOT EXISTS idx_catalog_isin ON instrument_catalog_entries(isin);\\n   380|        CREATE INDEX IF NOT EXISTS idx_catalog_ticker_exchange ON instrument_catalog_entries(ticker, exchange, trading_currency);\\n   381|        CREATE INDEX IF NOT EXISTS idx_catalog_provider_symbol ON instrument_catalog_entries(provider, provider_symbol);\\n   382|        CREATE INDEX IF NOT EXISTS idx_catalog_normalized_name ON instrument_catalog_entries(normalized_name);\\n   383|        \\\"\\\"\\\"\\n   384|    )\\n   385|    conn.executescript(\\n   386|        \\\"\\\"\\\"\\n   387|        CREATE TABLE IF NOT EXISTS instrument_price_mapping_candidates (\\n   388|            candidate_id TEXT PRIMARY KEY,\\n   389|            instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n   390|            isin TEXT,\\n   391|            candidate_provider TEXT NOT NULL,\\n   392|            candidate_provider_symbol TEXT NOT NULL,\\n   393|            candidate_exchange TEXT,\\n   394|            candidate_currency TEXT,\\n   395|            candidate_name TEXT,\\n   396|            candidate_asset_class TEXT,\\n   397|            candidate_is_hedged INTEGER,\\n   398|            candidate_hedged_to_currency TEXT,\\n   399|            candidate_hedge_status TEXT NOT NULL DEFAULT 'unknown',\\n   400|            candidate_instrument_status TEXT NOT NULL DEFAULT 'unknown',\\n   401|            candidate_valuation_policy TEXT NOT NULL DEFAULT 'live_price',\\n   402|            ranking_score INTEGER NOT NULL DEFAULT 0,\\n   403|            ranking_reason TEXT,\\n   404|            risk_flags TEXT,\\n   405|            recommended_action TEXT NOT NULL DEFAULT 'needs_manual_review',\\n   406|            confidence TEXT NOT NULL DEFAULT 'low',\\n   407|            evidence_source TEXT,\\n   408|            evidence_note TEXT,\\n   409|            review_status TEXT NOT NULL DEFAULT 'proposed',\\n   410|            created_at TEXT NOT NULL,\\n   411|            updated_at TEXT\\n   412|        );\\n   413|        CREATE INDEX IF NOT EXISTS idx_ipmc_instrument ON instrument_price_mapping_candidates(instrument_id);\\n   414|        CREATE INDEX IF NOT EXISTS idx_ipmc_review_status ON instrument_price_mapping_candidates(review_status);\\n   415|        CREATE INDEX IF NOT EXISTS idx_ipmc_confidence ON instrument_price_mapping_candidates(confidence);\\n   416|        \\\"\\\"\\\"\\n   417|    )\\n   418|    _add_missing_columns(conn, \\\"instrument_price_mapping_candidates\\\", {\\n   419|        \\\"candidate_asset_class\\\": \\\"TEXT\\\",\\n   420|        \\\"candidate_hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n   421|        \\\"candidate_valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n   422|        \\\"ranking_score\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n   423|        \\\"ranking_reason\\\": \\\"TEXT\\\",\\n   424|        \\\"risk_flags\\\": \\\"TEXT\\\",\\n   425|        \\\"recommended_action\\\": \\\"TEXT NOT NULL DEFAULT 'needs_manual_review'\\\",\\n   426|    })\\n   427|    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_ipmc_ranking_score ON instrument_price_mapping_candidates(ranking_score)\\\")\\n   428|    conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)\\\")\\n   429|    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)\\\")\\n   430|    conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_fx_rates_unique_provider_date ON fx_rates(base_currency, quote_currency, rate_date, provider, rate_type)\\\")\\n   431|    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\\n   432|\\n   433|\\n   434|def _apply_compat_migrations(conn: Connection) -> None:\\n   435|    _add_missing_instrument_columns(conn)\\n   436|    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n   437|        _rebuild_table_with_text_columns(conn, table, text_columns)\\n   438|    _create_broker_bank_mapping_tables(conn)\\n   439|    _create_broker_import_review_items(conn)\\n   440|    _create_broker_import_execution_plans(conn)\\n   441|    _add_transaction_void_columns(conn)\\n   442|    _create_fx_market_data_tables(conn)\\n   443|\\n   444|\\n   445|def apply_migrations(conn: Connection) -> None:\\n   446|    conn.executescript(INITIAL_SCHEMA_SQL)\\n   447|    existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n   448|    if not existing_initial:\\n   449|        conn.execute(\\n   450|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   451|            (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n   452|        )\\n   453|    _apply_compat_migrations(conn)\\n   454|    existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n   455|    if not existing:\\n   456|        conn.execute(\\n   457|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   458|            (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n   459|        )\\n   460|    conn.commit()\\n   461|\", \"total_lines\": 460, \"file_size\": 20441, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from dataclasses import dataclass, field\\n     4|from decimal import Decimal, InvalidOperation\\n     5|from sqlite3 import Connection\\n     6|\\n     7|from jarvis_finance.audit.log import record_audit_event\\n     8|from jarvis_finance.imports.common import stable_id, utc_now\\n     9|from jarvis_finance.market_data.catalog import CatalogEntryInput, upsert_catalog_entry\\n    10|from jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality\\n    11|from jarvis_finance.ledger.positions import calculate_positions\\n    12|from jarvis_finance.quality.alerts import create_alert\\n    13|\\n    14|VALID_ASSET_CLASSES = {\\\"stock\\\", \\\"etf\\\"}\\n    15|VALID_CURRENCIES = {\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"}\\n    16|VALID_CATEGORIES = {\\\"Core\\\", \\\"Opportunity\\\", \\\"Unknown\\\"}\\n    17|VALID_TRANSACTION_TYPES = {\\\"buy\\\", \\\"partial_sell\\\", \\\"full_sell\\\", \\\"dividend\\\", \\\"etf_distribution\\\", \\\"fee\\\", \\\"manual_adjustment\\\", \\\"initial_snapshot\\\", \\\"initial_position_snapshot\\\"}\\n    18|VALID_FX_STATUSES = {\\\"ok\\\", \\\"not_needed\\\", \\\"missing\\\", \\\"manual_override\\\", \\\"manual_override_required\\\"}\\n    19|\\n    20|\\n    21|@dataclass(frozen=True)\\n    22|class EquityManageResult:\\n    23|    instrument_id: str\\n    24|    account_id: str\\n    25|    transaction_id: str\\n    26|    warnings: list[str] = field(default_factory=list)\\n    27|\\n    28|\\n    29|def parse_decimal_text(value: str, *, field_name: str) -> Decimal:\\n    30|    text = str(value).strip()\\n    31|    if not text:\\n    32|        raise ValueError(f\\\"{field_name} is required\\\")\\n    33|    try:\\n    34|        dec = Decimal(text)\\n    35|    except (InvalidOperation, ValueError) as exc:\\n    36|        raise ValueError(f\\\"{field_name} must be a Decimal string\\\") from exc\\n    37|    if not dec.is_finite():\\n    38|        raise ValueError(f\\\"{field_name} must be finite\\\")\\n    39|    return dec\\n    40|\\n    41|\\n    42|def decimal_text(value: Decimal | None, places: str | None = None) -> str | None:\\n    43|    if value is None:\\n    44|        return None\\n    45|    if places is not None:\\n    46|        value = value.quantize(Decimal(places))\\n    47|    return format(value, \\\"f\\\")\\n    48|\\n    49|\\n    50|def _require_confirm(confirm: bool) -> None:\\n    51|    if not confirm:\\n    52|        raise ValueError(\\\"explicit confirm is required before saving\\\")\\n    53|\\n    54|\\n    55|def _require_date(value: str) -> str:\\n    56|    text = str(value).strip()\\n    57|    parts = text.split(\\\"-\\\")\\n    58|    if len(parts) != 3 or not all(part.isdigit() for part in parts):\\n    59|        raise ValueError(\\\"date must be ISO YYYY-MM-DD\\\")\\n    60|    return text\\n    61|\\n    62|\\n    63|def _require_account(conn: Connection, account_id: str) -> str:\\n    64|    account_id = str(account_id).strip()\\n    65|    if not account_id:\\n    66|        raise ValueError(\\\"account is required\\\")\\n    67|    row = conn.execute(\\\"SELECT account_id FROM accounts WHERE account_id=?\\\", (account_id,)).fetchone()\\n    68|    if row is None:\\n    69|        raise ValueError(\\\"account not found\\\")\\n    70|    return account_id\\n    71|\\n    72|\\n    73|def _require_instrument(conn: Connection, instrument_id: str) -> str:\\n    74|    instrument_id = str(instrument_id).strip()\\n    75|    row = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE instrument_id=?\\\", (instrument_id,)).fetchone()\\n    76|    if row is None:\\n    77|        raise ValueError(\\\"instrument not found\\\")\\n    78|    return instrument_id\\n    79|\\n    80|\\n    81|def _normalize_asset_class(asset_class: str) -> str:\\n    82|    value = str(asset_class).strip().lower()\\n    83|    if value not in VALID_ASSET_CLASSES:\\n    84|        raise ValueError(\\\"asset_class must be stock or ETF\\\")\\n    85|    return value\\n    86|\\n    87|\\n    88|def _require_currency(currency: str) -> str:\\n    89|    value = str(currency).strip().upper()\\n    90|    if value not in VALID_CURRENCIES:\\n    91|        raise ValueError(\\\"currency must be CHF, EUR or USD\\\")\\n    92|    return value\\n    93|\\n    94|\\n    95|def _require_note(note: str, *, reason: str) -> str:\\n    96|    text = str(note or \\\"\\\").strip()\\n    97|    if not text:\\n    98|        raise ValueError(f\\\"note is required for {reason}\\\")\\n    99|    return text\\n   100|\\n   101|\\n   102|def _find_instrument(conn: Connection, *, isin: str, ticker: str, name: str, currency: str) -> str | None:\\n   103|    if isin:\\n   104|        row = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE isin=?\\\", (isin,)).fetchone()\\n   105|        if row:\\n   106|            return row[\\\"instrument_id\\\"]\\n   107|    if ticker:\\n   108|        row = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE upper(ticker)=upper(?) AND currency=?\\\", (ticker, currency)).fetchone()\\n   109|        if row:\\n   110|            return row[\\\"instrument_id\\\"]\\n   111|    row = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE name=? AND currency=?\\\", (name, currency)).fetchone()\\n   112|    return row[\\\"instrument_id\\\"] if row else None\\n   113|\\n   114|\\n   115|def _ensure_instrument(\\n   116|    conn: Connection,\\n   117|    *,\\n   118|    asset_class: str,\\n   119|    name: str,\\n   120|    isin: str,\\n   121|    ticker: str,\\n   122|    exchange: str,\\n   123|    currency: str,\\n   124|    category: str,\\n   125|    note: str,\\n   126|    ter_text: str | None = None,\\n   127|    distribution_policy: str | None = None,\\n   128|    index_name: str | None = None,\\n   129|    fund_domicile: str | None = None,\\n   130|    benchmark: str | None = None,\\n   131|) -> str:\\n   132|    isin = str(isin or \\\"\\\").strip().upper()\\n   133|    ticker = str(ticker or \\\"\\\").strip().upper()\\n   134|    name = str(name or \\\"\\\").strip()\\n   135|    if not name:\\n   136|        raise ValueError(\\\"name is required\\\")\\n   137|    if not isin and not ticker:\\n   138|        raise ValueError(\\\"ISIN or ticker is required\\\")\\n   139|    if category not in VALID_CATEGORIES:\\n   140|        raise ValueError(\\\"category must be Core, Opportunity or Unknown\\\")\\n   141|    ter = None\\n   142|    if ter_text not in {None, \\\"\\\"}:\\n   143|        ter = decimal_text(parse_decimal_text(str(ter_text), field_name=\\\"TER\\\"))\\n   144|    existing = _find_instrument(conn, isin=isin, ticker=ticker, name=name, currency=currency)\\n   145|    now = utc_now()\\n   146|    if existing:\\n   147|        conn.execute(\\n   148|            \\\"\\\"\\\"\\n   149|            UPDATE instruments\\n   150|            SET name=COALESCE(NULLIF(?, ''), name), ticker=COALESCE(NULLIF(?, ''), ticker),\\n   151|                exchange=COALESCE(NULLIF(?, ''), exchange), position_category=?, ter=COALESCE(?, ter),\\n   152|                distribution_policy=COALESCE(NULLIF(?, ''), distribution_policy), index_name=COALESCE(NULLIF(?, ''), index_name),\\n   153|                fund_domicile=COALESCE(NULLIF(?, ''), fund_domicile), benchmark=COALESCE(NULLIF(?, ''), benchmark),\\n   154|                updated_at=?\\n   155|            WHERE instrument_id=?\\n   156|            \\\"\\\"\\\",\\n   157|            (name, ticker, exchange, category, ter, distribution_policy or \\\"\\\", index_name or \\\"\\\", fund_domicile or \\\"\\\", benchmark or \\\"\\\", now, existing),\\n   158|        )\\n   159|        return existing\\n   160|    instrument_id = stable_id(\\\"instrument\\\", isin or ticker or name, currency)\\n   161|    conn.execute(\\n   162|        \\\"\\\"\\\"\\n   163|        INSERT INTO instruments(\\n   164|            instrument_id, asset_class, name, ticker, isin, exchange, currency,\\n   165|            notes, position_category, ter, distribution_policy, index_name, fund_domicile, benchmark, created_at\\n   166|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   167|        \\\"\\\"\\\",\\n   168|        (instrument_id, asset_class, name, ticker, isin, exchange, currency, note, category, ter, distribution_policy, index_name, fund_domicile, benchmark, now),\\n   169|    )\\n   170|    return instrument_id\\n   171|\\n   172|\\n   173|def _fx_values(conn: Connection, *, currency: str, gross: Decimal, fee: Decimal, tax: Decimal, fx_rate_text: str | None, fx_source: str | None, fx_status: str, entity_hint: str) -> tuple[str, str | None, str | None, str | None, str | None, list[str]]:\\n   174|    warnings: list[str] = []\\n   175|    if currency == \\\"CHF\\\":\\n   176|        fx = Decimal(\\\"1\\\")\\n   177|        status = \\\"ok\\\"\\n   178|        source = fx_source or \\\"CHF base currency\\\"\\n   179|    else:\\n   180|        status = str(fx_status or \\\"\\\").strip().lower()\\n   181|        if fx_rate_text:\\n   182|            fx = parse_decimal_text(fx_rate_text, field_name=\\\"fx_rate_to_chf\\\")\\n   183|            if fx <= 0:\\n   184|                raise ValueError(\\\"fx_rate_to_chf must be > 0\\\")\\n   185|            status = \\\"ok\\\"\\n   186|            source = fx_source or \\\"manual\\\"\\n   187|        elif status in {\\\"missing\\\", \\\"manual_override_required\\\"}:\\n   188|            fx = None\\n   189|            source = fx_source or status\\n   190|            warnings.append(\\\"missing_fx\\\")\\n   191|            create_alert(\\n   192|                conn,\\n   193|                priority=\\\"kritisch\\\",\\n   194|                category=\\\"equity\\\",\\n   195|                entity_type=\\\"instrument\\\",\\n   196|                entity_id=entity_hint,\\n   197|                rule_id=\\\"missing_fx\\\",\\n   198|                message=\\\"Historic FX is missing; CHF value is incomplete.\\\",\\n   199|                evidence={\\\"currency\\\": currency},\\n   200|                fingerprint=\\\"missing_fx\\\",\\n   201|            )\\n   202|        else:\\n   203|            raise ValueError(\\\"FX rate is required for foreign currency unless fx_status=missing/manual_override_required\\\")\\n   204|    if fx is None:\\n   205|        return status or \\\"missing\\\", None, source, None, None, warnings\\n   206|    gross_chf = gross * fx\\n   207|    fee_chf = fee * fx\\n   208|    tax_chf = tax * fx\\n   209|    net_chf = gross_chf - fee_chf - tax_chf\\n   210|    return status or \\\"ok\\\", decimal_text(fx), source, decimal_text(gross_chf, \\\"0.0001\\\"), decimal_text(net_chf, \\\"0.0001\\\"), warnings\\n   211|\\n   212|\\n   213|def _insert_transaction(\\n   214|    conn: Connection,\\n   215|    *,\\n   216|    transaction_type: str,\\n   217|    account_id: str,\\n   218|    instrument_id: str,\\n   219|    trade_date: str,\\n   220|    quantity: Decimal | None,\\n   221|    gross: Decimal,\\n   222|    fee: Decimal,\\n   223|    tax: Decimal,\\n   224|    currency: str,\\n   225|    fx_rate_to_chf_text: str | None,\\n   226|    fx_source: str | None,\\n   227|    fx_status: str,\\n   228|    note: str,\\n   229|) -> tuple[str, list[str]]:\\n   230|    now = utc_now()\\n   231|    status, fx_text, fx_source_value, gross_chf, net_chf, warnings = _fx_values(\\n   232|        conn,\\n   233|        currency=currency,\\n   234|        gross=gross,\\n   235|        fee=fee,\\n   236|        tax=tax,\\n   237|        fx_rate_text=fx_rate_to_chf_text,\\n   238|        fx_source=fx_source,\\n   239|        fx_status=fx_status,\\n   240|        entity_hint=instrument_id,\\n   241|    )\\n   242|    tx_id = stable_id(\\\"tx\\\", transaction_type, account_id, instrument_id, trade_date, decimal_text(quantity) if quantity is not None else \\\"\\\", decimal_text(gross), now)\\n   243|    conn.execute(\\n   244|        \\\"\\\"\\\"\\n   245|        INSERT INTO transactions(\\n   246|            transaction_id, transaction_type, account_id, instrument_id, trade_date,\\n   247|            quantity, gross_amount_original, fee_original, tax_original, net_amount_original,\\n   248|            currency_original, fx_rate_to_chf, fx_source, fx_status, gross_amount_chf,\\n   249|            fee_chf, tax_chf, net_amount_chf, source_type, source_id, is_confirmed,\\n   250|            quality_status, notes, created_at\\n   251|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'manual_dashboard', ?, 1, ?, ?, ?)\\n   252|        \\\"\\\"\\\",\\n   253|        (\\n   254|            tx_id,\\n   255|            transaction_type,\\n   256|            account_id,\\n   257|            instrument_id,\\n   258|            trade_date,\\n   259|            decimal_text(quantity) if quantity is not None else None,\\n   260|            decimal_text(gross),\\n   261|\", \"total_lines\": 642, \"file_size\": 25987, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 642 lines)\", \"is_binary\": false, \"is_image\": false}",
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          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":260,\"offset\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/equity/manage.py\"}"
          }
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      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"   260|            decimal_text(gross),\\n   261|            decimal_text(fee),\\n   262|            decimal_text(tax),\\n   263|            decimal_text(gross - fee - tax),\\n   264|            currency,\\n   265|            fx_text,\\n   266|            fx_source_value,\\n   267|            status,\\n   268|            gross_chf,\\n   269|            decimal_text(fee * Decimal(fx_text), \\\"0.0001\\\") if fx_text else None,\\n   270|            decimal_text(tax * Decimal(fx_text), \\\"0.0001\\\") if fx_text else None,\\n   271|            net_chf,\\n   272|            tx_id,\\n   273|            \\\"incomplete\\\" if warnings else \\\"ok\\\",\\n   274|            note,\\n   275|            now,\\n   276|        ),\\n   277|    )\\n   278|    return tx_id, warnings\\n   279|\\n   280|\\n   281|def add_equity_initial_snapshot(\\n   282|    conn: Connection,\\n   283|    *,\\n   284|    account_id: str,\\n   285|    asset_class: str,\\n   286|    name: str,\\n   287|    isin: str = \\\"\\\",\\n   288|    ticker: str = \\\"\\\",\\n   289|    exchange: str = \\\"\\\",\\n   290|    currency: str,\\n   291|    quantity_text: str,\\n   292|    cost_basis_original_text: str,\\n   293|    snapshot_date: str,\\n   294|    category: str = \\\"Unknown\\\",\\n   295|    note: str,\\n   296|    confirm: bool,\\n   297|    fx_rate_to_chf_text: str | None = None,\\n   298|    fx_source: str | None = None,\\n   299|    fx_status: str = \\\"ok\\\",\\n   300|    ter_text: str | None = None,\\n   301|    distribution_policy: str | None = None,\\n   302|    index_name: str | None = None,\\n   303|    fund_domicile: str | None = None,\\n   304|    benchmark: str | None = None,\\n   305|) -> EquityManageResult:\\n   306|    _require_confirm(confirm)\\n   307|    account_id = _require_account(conn, account_id)\\n   308|    asset_class = _normalize_asset_class(asset_class)\\n   309|    currency = _require_currency(currency)\\n   310|    snapshot_date = _require_date(snapshot_date)\\n   311|    note = _require_note(note, reason=\\\"initial_position_snapshot with incomplete history\\\")\\n   312|    qty = parse_decimal_text(quantity_text, field_name=\\\"quantity\\\")\\n   313|    if qty <= 0:\\n   314|        raise ValueError(\\\"quantity must be > 0\\\")\\n   315|    gross = parse_decimal_text(cost_basis_original_text, field_name=\\\"cost basis\\\")\\n   316|    if gross < 0:\\n   317|        raise ValueError(\\\"cost basis must be >= 0\\\")\\n   318|    instrument_id = _ensure_instrument(\\n   319|        conn,\\n   320|        asset_class=asset_class,\\n   321|        name=name,\\n   322|        isin=isin,\\n   323|        ticker=ticker,\\n   324|        exchange=exchange,\\n   325|        currency=currency,\\n   326|        category=category,\\n   327|        note=note,\\n   328|        ter_text=ter_text,\\n   329|        distribution_policy=distribution_policy,\\n   330|        index_name=index_name,\\n   331|        fund_domicile=fund_domicile,\\n   332|        benchmark=benchmark,\\n   333|    )\\n   334|    existing_position = calculate_positions(conn).positions.get((account_id, instrument_id))\\n   335|    if existing_position and existing_position.quantity != 0:\\n   336|        raise ValueError(\\\"initial snapshot would overwrite an existing position; use manual_adjustment\\\")\\n   337|    tx_id, warnings = _insert_transaction(\\n   338|        conn,\\n   339|        transaction_type=\\\"initial_position_snapshot\\\",\\n   340|        account_id=account_id,\\n   341|        instrument_id=instrument_id,\\n   342|        trade_date=snapshot_date,\\n   343|        quantity=qty,\\n   344|        gross=gross,\\n   345|        fee=Decimal(\\\"0\\\"),\\n   346|        tax=Decimal(\\\"0\\\"),\\n   347|        currency=currency,\\n   348|        fx_rate_to_chf_text=fx_rate_to_chf_text,\\n   349|        fx_source=fx_source,\\n   350|        fx_status=fx_status,\\n   351|        note=note,\\n   352|    )\\n   353|    record_audit_event(\\n   354|        conn,\\n   355|        source=\\\"equity_manage\\\",\\n   356|        action=\\\"equity_initial_position_snapshot\\\",\\n   357|        entity_type=\\\"transaction\\\",\\n   358|        entity_id=tx_id,\\n   359|        new_values={\\\"account_id\\\": account_id, \\\"instrument_id\\\": instrument_id, \\\"transaction_type\\\": \\\"initial_position_snapshot\\\"},\\n   360|        user_text_note=note,\\n   361|        confirmed=True,\\n   362|        created_by=\\\"dashboard\\\",\\n   363|    )\\n   364|    conn.commit()\\n   365|    return EquityManageResult(instrument_id=instrument_id, account_id=account_id, transaction_id=tx_id, warnings=warnings)\\n   366|\\n   367|\\n   368|def add_equity_transaction(\\n   369|    conn: Connection,\\n   370|    *,\\n   371|    account_id: str,\\n   372|    instrument_id: str,\\n   373|    transaction_type: str,\\n   374|    trade_date: str,\\n   375|    quantity_text: str,\\n   376|    gross_amount_original_text: str,\\n   377|    currency: str,\\n   378|    note: str,\\n   379|    confirm: bool,\\n   380|    fee_original_text: str = \\\"0\\\",\\n   381|    tax_original_text: str = \\\"0\\\",\\n   382|    fx_rate_to_chf_text: str | None = None,\\n   383|    fx_source: str | None = None,\\n   384|    fx_status: str = \\\"ok\\\",\\n   385|) -> EquityManageResult:\\n   386|    _require_confirm(confirm)\\n   387|    account_id = _require_account(conn, account_id)\\n   388|    instrument_id = _require_instrument(conn, instrument_id)\\n   389|    transaction_type = str(transaction_type).strip()\\n   390|    if transaction_type not in VALID_TRANSACTION_TYPES:\\n   391|        raise ValueError(\\\"unsupported equity transaction type\\\")\\n   392|    trade_date = _require_date(trade_date)\\n   393|    currency = _require_currency(currency)\\n   394|    if transaction_type == \\\"manual_adjustment\\\":\\n   395|        note = _require_note(note, reason=\\\"manual_adjustment\\\")\\n   396|    else:\\n   397|        note = str(note or \\\"\\\").strip() or f\\\"manual {transaction_type}\\\"\\n   398|    qty = parse_decimal_text(quantity_text, field_name=\\\"quantity\\\")\\n   399|    gross = parse_decimal_text(gross_amount_original_text, field_name=\\\"gross amount\\\")\\n   400|    fee = parse_decimal_text(fee_original_text, field_name=\\\"fee\\\")\\n   401|    tax = parse_decimal_text(tax_original_text, field_name=\\\"tax\\\")\\n   402|    if transaction_type in {\\\"buy\\\", \\\"partial_sell\\\", \\\"full_sell\\\", \\\"initial_position_snapshot\\\"} and qty <= 0:\\n   403|        raise ValueError(\\\"quantity must be > 0\\\")\\n   404|    if transaction_type in {\\\"dividend\\\", \\\"etf_distribution\\\", \\\"fee\\\"}:\\n   405|        qty = Decimal(\\\"0\\\")\\n   406|    if transaction_type in {\\\"partial_sell\\\", \\\"full_sell\\\"}:\\n   407|        current = calculate_positions(conn).positions.get((account_id, instrument_id))\\n   408|        current_qty = current.quantity if current else Decimal(\\\"0\\\")\\n   409|        if qty > current_qty:\\n   410|            raise ValueError(\\\"sell would create negative position\\\")\\n   411|        if transaction_type == \\\"full_sell\\\" and qty != current_qty:\\n   412|            raise ValueError(\\\"full_sell quantity must match current position\\\")\\n   413|    tx_id, warnings = _insert_transaction(\\n   414|        conn,\\n   415|        transaction_type=transaction_type,\\n   416|        account_id=account_id,\\n   417|        instrument_id=instrument_id,\\n   418|        trade_date=trade_date,\\n   419|        quantity=qty,\\n   420|        gross=gross,\\n   421|        fee=fee,\\n   422|        tax=tax,\\n   423|        currency=currency,\\n   424|        fx_rate_to_chf_text=fx_rate_to_chf_text,\\n   425|        fx_source=fx_source,\\n   426|        fx_status=fx_status,\\n   427|        note=note,\\n   428|    )\\n   429|    record_audit_event(\\n   430|        conn,\\n   431|        source=\\\"equity_manage\\\",\\n   432|        action=f\\\"equity_{transaction_type}\\\",\\n   433|        entity_type=\\\"transaction\\\",\\n   434|        entity_id=tx_id,\\n   435|        new_values={\\\"account_id\\\": account_id, \\\"instrument_id\\\": instrument_id, \\\"transaction_type\\\": transaction_type},\\n   436|        user_text_note=note,\\n   437|        confirmed=True,\\n   438|        created_by=\\\"dashboard\\\",\\n   439|    )\\n   440|    conn.commit()\\n   441|    return EquityManageResult(instrument_id=instrument_id, account_id=account_id, transaction_id=tx_id, warnings=warnings)\\n   442|\\n   443|\\n   444|def _ensure_instrument_from_catalog(conn: Connection, *, catalog_entry_id: str, note: str) -> str:\\n   445|    row = conn.execute(\\\"SELECT * FROM instrument_catalog_entries WHERE catalog_entry_id=?\\\", (catalog_entry_id,)).fetchone()\\n   446|    if row is None:\\n   447|        raise ValueError(\\\"catalog entry not found\\\")\\n   448|    asset_class = \\\"etf\\\" if row[\\\"asset_class\\\"] == \\\"etf\\\" else \\\"stock\\\"\\n   449|    currency = _require_currency(row[\\\"instrument_currency\\\"] or row[\\\"trading_currency\\\"] or \\\"CHF\\\")\\n   450|    isin = (row[\\\"isin\\\"] or \\\"\\\").strip().upper()\\n   451|    ticker = (row[\\\"ticker\\\"] or \\\"\\\").strip().upper()\\n   452|    exchange = (row[\\\"exchange\\\"] or \\\"\\\").strip().upper()\\n   453|    existing = None\\n   454|    if isin:\\n   455|        existing = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE isin=? AND COALESCE(exchange,'')=? AND currency=?\\\", (isin, exchange, currency)).fetchone()\\n   456|    if existing is None and ticker and exchange:\\n   457|        existing = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE upper(ticker)=upper(?) AND COALESCE(exchange,'')=? AND currency=?\\\", (ticker, exchange, currency)).fetchone()\\n   458|    if existing:\\n   459|        instrument_id = existing[\\\"instrument_id\\\"]\\n   460|    else:\\n   461|        instrument_id = stable_id(\\\"instrument\\\", isin or ticker or row[\\\"name\\\"], exchange, currency)\\n   462|        conn.execute(\\n   463|            \\\"\\\"\\\"\\n   464|            INSERT INTO instruments(\\n   465|                instrument_id, asset_class, name, ticker, isin, exchange, currency,\\n   466|                notes, is_currency_hedged, hedged_to_currency, hedge_status,\\n   467|                trading_currency, instrument_status, valuation_policy, created_at\\n   468|            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   469|            \\\"\\\"\\\",\\n   470|            (\\n   471|                instrument_id, asset_class, row[\\\"name\\\"], ticker, isin, exchange, currency, note,\\n   472|                (1 if row[\\\"is_currency_hedged\\\"] else 0), row[\\\"hedged_to_currency\\\"], row[\\\"hedge_status\\\"] or \\\"unknown\\\",\\n   473|                row[\\\"trading_currency\\\"], row[\\\"instrument_status\\\"] or \\\"unknown\\\", row[\\\"valuation_policy\\\"] or \\\"live_price\\\", utc_now(),\\n   474|            ),\\n   475|        )\\n   476|    if row[\\\"provider_symbol\\\"]:\\n   477|        from jarvis_finance.market_data.mappings import confirm_instrument_price_mapping\\n   478|        confirm_instrument_price_mapping(\\n   479|            conn,\\n   480|            instrument_id=instrument_id,\\n   481|            provider=row[\\\"provider\\\"] or \\\"manual\\\",\\n   482|            provider_symbol=row[\\\"provider_symbol\\\"],\\n   483|            provider_market=row[\\\"provider_market\\\"] or exchange,\\n   484|            confidence=row[\\\"source_confidence\\\"] or \\\"low\\\",\\n   485|            note=note,\\n   486|            exchange=exchange,\\n   487|            currency=row[\\\"trading_currency\\\"] or currency,\\n   488|            hedge_status=row[\\\"hedge_status\\\"] if row[\\\"hedge_status\\\"] != \\\"unknown\\\" else None,\\n   489|            hedged_to_currency=row[\\\"hedged_to_currency\\\"],\\n   490|            instrument_status=row[\\\"instrument_status\\\"] if row[\\\"instrument_status\\\"] != \\\"unknown\\\" else None,\\n   491|            valuation_policy=row[\\\"valuation_policy\\\"],\\n   492|            trading_currency=row[\\\"trading_currency\\\"] or currency,\\n   493|            created_by=\\\"dashboard\\\",\\n   494|        )\\n   495|    else:\\n   496|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"Manual catalog position has no provider symbol; market price unavailable.\\\", evidence={\\\"catalog_entry_id\\\": catalog_entry_id}, fingerprint=\\\"missing_provider_symbol\\\")\\n   497|    ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)\\n   498|    return instrument_id\\n   499|\\n   500|\\n   501|def add_manual_position_from_catalog(\\n   502|    conn: Connection,\\n   503|    *,\\n   504|    catalog_entry_id: str,\\n   505|    account_id: str,\\n   506|    position_type: str,\\n   507|    quantity_text: str,\\n   508|    trade_date: str,\\n   509|    currency: str,\\n   510|    note: str,\\n   511|    confirm: bool,\\n   512|    cost_basis_original_text: str | None = None,\\n   513|    fx_status: str = \\\"missing\\\",\\n   514|    fx_rate_to_chf_text: str | None = None,\\n   515|    fx_source: str | None = None,\\n   516|) -> EquityManageResult:\\n   517|    _require_confirm(confirm)\\n   518|    note = _require_note(note, reason=\\\"manual position add\\\")\\n   519|    account_id = _require_account(conn, account_id)\\n   520|\", \"total_lines\": 642, \"file_size\": 25987, \"truncated\": true, \"hint\": \"Use offset=520 to continue reading (showing 260-519 of 642 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_xqi5oYd0dOPM6fZ8FApV33Eu"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_gkzZGZlMHZNOfAJypHXJQBbA",
          "call_id": "call_gkzZGZlMHZNOfAJypHXJQBbA",
          "response_item_id": "fc_0791577ebb536a40016a077680d90c8191b9fb061d59971251",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":160,\"offset\":520,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/equity/manage.py\"}"
          }
        }
      ]
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    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"   520|    position_type = str(position_type or \\\"\\\").strip()\\n   521|    if position_type == \\\"initial_snapshot\\\":\\n   522|        transaction_type = \\\"initial_position_snapshot\\\"\\n   523|    elif position_type in {\\\"buy\\\", \\\"manual_adjustment\\\"}:\\n   524|        transaction_type = position_type\\n   525|    else:\\n   526|        raise ValueError(\\\"position_type must be initial_snapshot, buy or manual_adjustment\\\")\\n   527|    if fx_status not in VALID_FX_STATUSES:\\n   528|        raise ValueError(\\\"invalid fx_status\\\")\\n   529|    currency = _require_currency(currency)\\n   530|    trade_date = _require_date(trade_date)\\n   531|    qty = parse_decimal_text(quantity_text, field_name=\\\"quantity\\\")\\n   532|    if qty <= 0:\\n   533|        raise ValueError(\\\"quantity must be > 0\\\")\\n   534|    warnings: list[str] = []\\n   535|    if cost_basis_original_text in {None, \\\"\\\"}:\\n   536|        gross = Decimal(\\\"0\\\")\\n   537|        warnings.append(\\\"cost_basis_uncertain\\\")\\n   538|    else:\\n   539|        gross = parse_decimal_text(str(cost_basis_original_text), field_name=\\\"cost basis\\\")\\n   540|    instrument_id = _ensure_instrument_from_catalog(conn, catalog_entry_id=catalog_entry_id, note=note)\\n   541|    if transaction_type == \\\"initial_position_snapshot\\\":\\n   542|        existing_position = calculate_positions(conn).positions.get((account_id, instrument_id))\\n   543|        if existing_position and existing_position.quantity != 0:\\n   544|            raise ValueError(\\\"initial snapshot would overwrite an existing position; use manual_adjustment\\\")\\n   545|    tx_id, tx_warnings = _insert_transaction(\\n   546|        conn,\\n   547|        transaction_type=transaction_type,\\n   548|        account_id=account_id,\\n   549|        instrument_id=instrument_id,\\n   550|        trade_date=trade_date,\\n   551|        quantity=qty,\\n   552|        gross=gross,\\n   553|        fee=Decimal(\\\"0\\\"),\\n   554|        tax=Decimal(\\\"0\\\"),\\n   555|        currency=currency,\\n   556|        fx_rate_to_chf_text=fx_rate_to_chf_text,\\n   557|        fx_source=fx_source,\\n   558|        fx_status=\\\"ok\\\" if currency == \\\"CHF\\\" and fx_status == \\\"not_needed\\\" else fx_status,\\n   559|        note=note,\\n   560|    )\\n   561|    warnings.extend(tx_warnings)\\n   562|    if \\\"cost_basis_uncertain\\\" in warnings:\\n   563|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"equity\\\", entity_type=\\\"transaction\\\", entity_id=tx_id, rule_id=\\\"cost_basis_uncertain\\\", message=\\\"Cost basis is missing for manual position; performance metrics are incomplete.\\\", evidence={\\\"instrument_id\\\": instrument_id}, fingerprint=\\\"cost_basis_uncertain\\\")\\n   564|    create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_market_price\\\", message=\\\"Market price is missing for manually added instrument until mapping/price update is confirmed.\\\", evidence={}, fingerprint=\\\"missing_market_price\\\")\\n   565|    record_audit_event(\\n   566|        conn,\\n   567|        source=\\\"instrument_search_add_position\\\",\\n   568|        action=\\\"manual_position_add\\\",\\n   569|        entity_type=\\\"transaction\\\",\\n   570|        entity_id=tx_id,\\n   571|        new_values={\\\"account_id\\\": account_id, \\\"instrument_id\\\": instrument_id, \\\"transaction_type\\\": transaction_type, \\\"catalog_entry_id\\\": catalog_entry_id},\\n   572|        user_text_note=note,\\n   573|        confirmed=True,\\n   574|        created_by=\\\"dashboard\\\",\\n   575|    )\\n   576|    conn.commit()\\n   577|    return EquityManageResult(instrument_id=instrument_id, account_id=account_id, transaction_id=tx_id, warnings=warnings)\\n   578|\\n   579|\\n   580|def create_manual_catalog_entry(\\n   581|    conn: Connection,\\n   582|    *,\\n   583|    asset_class: str,\\n   584|    name: str,\\n   585|    isin: str = \\\"\\\",\\n   586|    ticker: str = \\\"\\\",\\n   587|    exchange: str = \\\"\\\",\\n   588|    currency: str,\\n   589|    provider: str = \\\"manual\\\",\\n   590|    provider_symbol: str = \\\"\\\",\\n   591|    hedge_status: str = \\\"unknown\\\",\\n   592|    instrument_status: str = \\\"unknown\\\",\\n   593|    valuation_policy: str = \\\"live_price\\\",\\n   594|    note: str,\\n   595|) -> str:\\n   596|    note = _require_note(note, reason=\\\"manual catalog entry\\\")\\n   597|    return upsert_catalog_entry(\\n   598|        conn,\\n   599|        CatalogEntryInput(\\n   600|            asset_class=\\\"etf\\\" if asset_class.lower() == \\\"etf\\\" else \\\"equity\\\",\\n   601|            name=name,\\n   602|            isin=isin,\\n   603|            ticker=ticker,\\n   604|            exchange=exchange,\\n   605|            trading_currency=currency,\\n   606|            instrument_currency=currency,\\n   607|            provider=provider or \\\"manual\\\",\\n   608|            provider_symbol=provider_symbol or None,\\n   609|            provider_market=exchange or None,\\n   610|            hedge_status=hedge_status,\\n   611|            instrument_status=instrument_status,\\n   612|            valuation_policy=valuation_policy,\\n   613|            source=\\\"manual\\\",\\n   614|            source_confidence=\\\"medium\\\" if isin and exchange else \\\"low\\\",\\n   615|        ),\\n   616|        note=note,\\n   617|        created_by=\\\"dashboard\\\",\\n   618|    )\\n   619|\\n   620|\\n   621|def get_equity_management_options(conn: Connection) -> dict[str, list[dict[str, str]]]:\\n   622|    accounts = [\\n   623|        {\\n   624|            \\\"account_id\\\": row[\\\"account_id\\\"],\\n   625|            \\\"account_name\\\": row[\\\"account_name\\\"],\\n   626|            \\\"platform_name\\\": row[\\\"platform_name\\\"],\\n   627|            \\\"currency\\\": row[\\\"currency\\\"],\\n   628|        }\\n   629|        for row in conn.execute(\\n   630|            \\\"\\\"\\\"\\n   631|            SELECT a.account_id, a.account_name, p.name AS platform_name, a.currency\\n   632|            FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n   633|            WHERE a.is_active=1\\n   634|            ORDER BY p.name, a.account_name\\n   635|            \\\"\\\"\\\"\\n   636|        ).fetchall()\\n   637|    ]\\n   638|    instruments = [\\n   639|        {\\\"instrument_id\\\": row[\\\"instrument_id\\\"], \\\"name\\\": row[\\\"name\\\"], \\\"isin\\\": row[\\\"isin\\\"] or \\\"\\\", \\\"ticker\\\": row[\\\"ticker\\\"] or \\\"\\\", \\\"currency\\\": row[\\\"currency\\\"]}\\n   640|        for row in conn.execute(\\\"SELECT instrument_id, name, isin, ticker, currency FROM instruments WHERE is_active=1 ORDER BY name\\\").fetchall()\\n   641|    ]\\n   642|    return {\\\"accounts\\\": accounts, \\\"instruments\\\": instruments}\\n   643|\", \"total_lines\": 642, \"file_size\": 25987, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_gkzZGZlMHZNOfAJypHXJQBbA"
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      "finish_reason": "tool_calls",
      "reasoning_content": "**Planning model integration**\n\nI’m working on how to add a staging candidate model to the existing manual add system. Maybe I can use a delegate to check Qwen’s availability. It seems building a deterministic model might be possible, and I could explore a llama.cpp endpoint too. I’ll need to create a migration table and a few modules, including a parser for DOCX using Qwen. Plus, there might be a need to utilize an existing UI page for search and add functionalities.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqB3aJY6_hWavEAJ_IjQ3chVBTQYqErMQ-9Q4MH71iNCeSr5P48LxWd1kee-SmyPQ5XYBAI3OgI1oQ3Udb_VNWxp37EoEXKLXfgLaGl5AGI-B2ZSx7dDrPnWDAHrbu84UNkC_WpabN3_m-Uu-6q2CRZwpeGNWHv2x4BwSepXf9Ravhn91n0xmjEE38nzNisZpq9GP_JRknxiBG-FjBpxamsrBYRmmwByKrEZ8fWRxAHfY3oY4J5r7KuxaWcspMPB_WwuoRr7IXG-JiqZfpWYFoDx18YKQcExqEij9gxBreBsnmWNmVoQn4C9kQ5TsYs3xQbJtmyjO6Z-H4c8EWGzWfthdaCyF49FfgXQAcJkQ-ZVlmP2T24ke11WLuOoBKXs7dslfto69qROSzbmtTnUaFGEzdmej-QB3YWCEIyeg99-ut-B4henARPyUbTilhUpyVuOrNh78ZfBNb_9Ppv2VAhlW_lPCwA8mO0LhocSaGeuUKEyAfGPOZ2ZqZt4qP0XUCA5oTuuBE78f4jqbBZX3kHMqk5zg9AHQrrv9JY-vyG4F7Yfxf1PYp0IWxvUtKk5hoqKmwc9q67J_YnmJWnwv8-oUFZzMqyRnB7mtY7Hcj6PT5Bv5iLdSzHPak6HxE2oNjXXeRn-WDxg5b2P3mk4hjH1lPeghlwJEAqyNSh-G-RsiQgFE-AAyQUxcbIUGkXrjN8rnRQgPHJJKGZ532Pj4n3MkWu1I40V3vg7VhYsqEIV20m8H_dOgUDYZ54bcXs-UNfZdurGr9_8d6t9-tvwyH3yeJt4GJf9qkhBVixbCQ5WgH8HXYNbaKZK6cRZNjXpnbpqqRRlt7jOPJzihtdaf2EHq2f2eW8Xp6SuvO-I-FEKZhXiwl9pq-omaZ3RqEu18NBSsDOWkKk_l36RpQw8mm51viQzL8MaZqeTfGl4Q4wJQomtHOir-extjtS4503ZFh67cWr0SAY-erIVQ-EYMWom8KuNQGs0HEj13Ew5NLSnSCkNfGhCFzCJ-qlckqmz3K1gFCIC_mpVrYlKYBgL3OhEXmAJhHi0-qyQGELLK_mXPGnawKGQmeRq9RNX7N0HeNR9CjcK8tP2vqOr96Lf7xMA8jeOoKIf7Pk1T8d78C31p6G-74ByjtdBPex5pq2IRlK6cryN9G2NyGa7WTcaccf9fYQKg5UBWpqVR4BZdNRXsw18_1w7qvuSQBTBnAzr1HeIAxxsWub8dhZmMxb9G15SZEB3icx4nol9d7FEA0dFLf7aAdH1_Yv0PHNp1WZtIVcZHfGAokz4b-BZDYwmpFBIJ4CcLAM4oemn6lp3-Bnk9oWip_8_cG5mKLzKFogynJ9UP9oH7IXDYypytZnMwC6oB2XfCGOWPzIKaFznqxrp-wla_Tg3L40gbZpbc68PeLiZ9JbM7IgR9wVHbjrsRgWZxDo3m7pK4GvnGppiac0icmkv08eiTiXMwtR1mOliTiqrEWW1PC_LbZCyT1yv3u2ENanfTA6ZRMzA26nHF3Q-OkZymKHnqGigF6rRV9pa-uZHbwXH5RgOG1r4d1hLkgPlOMCdrZY1I2x2XaxFgYEXl8tEGQoKEVETB2eqkaZln6S7vcjbv-KFHQMEp4fWEtZyTyqkoTvpWv1XnRzc-kJn2yciHfVTWahG1wF47OPBuPl4eIWbwvJSSmdG9ra1m1dq6bc4s8lMTwNAHk6pJ08aFEaN0HYQdZmDwGGBXWCtBOk1aD8St8PhNBoukqZw0rPNCrs1p2MJCigjubtCnu4Wk48CBMTl4NNImwGCCBeXZJyDPTbP9HNHsmUDTQmKmL3QnZWkR7hUUFl2N2Thc1Pk2DHMradvWGZI_LFaW4KsvNIwui37EmDsQfbw1fIrffWej37FbW6F49t-7vOg89SUJ2UK9drdXat-VQKd5wqqRx6X7n",
          "id": "rs_0791577ebb536a40016a077684fb908191932d03b374959549",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Planning model integration**\n\nI’m working on how to add a staging candidate model to the existing manual add system. Maybe I can use a delegate to check Qwen’s availability. It seems building a deterministic model might be possible, and I could explore a llama.cpp endpoint too. I’ll need to create a migration table and a few modules, including a parser for DOCX using Qwen. Plus, there might be a need to utilize an existing UI page for search and add functionalities."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_mMSyAFLToX6uNUZOJYcMiqyx",
          "call_id": "call_mMSyAFLToX6uNUZOJYcMiqyx",
          "response_item_id": "fc_0791577ebb536a40016a0776893210819198bb43c7d41ca992",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|from jarvis_finance.dashboard import data\\n     6|from jarvis_finance.dashboard.components.tables import show_table\\n     7|from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, add_manual_position_from_catalog, create_manual_catalog_entry, get_equity_management_options\\n     8|from jarvis_finance.fx.overrides import set_manual_fx_override\\n     9|from jarvis_finance.market_data.candidates import reject_mapping_candidate, select_mapping_candidate\\n    10|\\n    11|PAGE_TITLE = \\\"Equity/ETF Manage\\\"\\n    12|\\n    13|\\n    14|def _account_label(row: dict[str, str]) -> str:\\n    15|    return f\\\"{row['platform_name']} / {row['account_name']} [{row['currency']} ]\\\"\\n    16|\\n    17|\\n    18|def _instrument_label(row: dict[str, str]) -> str:\\n    19|    suffix = row.get(\\\"isin\\\") or row.get(\\\"ticker\\\") or row[\\\"instrument_id\\\"]\\n    20|    return f\\\"{row['name']} ({suffix})\\\"\\n    21|\\n    22|\\n    23|def _selected(rows: list[dict[str, str]], label: str | None, label_fn) -> dict[str, str] | None:\\n    24|    if not label:\\n    25|        return None\\n    26|    for row in rows:\\n    27|        if label_fn(row) == label:\\n    28|            return row\\n    29|    return None\\n    30|\\n    31|\\n    32|def render(st, conn) -> None:\\n    33|    st.title(\\\"Equity/ETF Manage\\\")\\n    34|    st.caption(\\\"Auditierbare manuelle Aktien-/ETF-Erfassung. Dashboard liest lokal; keine Broker-Dateien oder Live-APIs beim Rendern.\\\")\\n    35|    st.warning(\\\"Keine stillen Überschreibungen: Initial Snapshots, Transaktionen und Korrekturen werden als bestätigte Ledger-Ereignisse mit Audit-Log gespeichert.\\\")\\n    36|\\n    37|    options = get_equity_management_options(conn)\\n    38|    account_labels = [_account_label(row) for row in options[\\\"accounts\\\"]]\\n    39|    instrument_labels = [_instrument_label(row) for row in options[\\\"instruments\\\"]]\\n    40|    tabs = st.tabs([\\\"Instrument Search / Add Position\\\", \\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\\n    41|\\n    42|    with tabs[0]:\\n    43|        st.subheader(\\\"Instrument Search / Add Position\\\")\\n    44|        st.caption(\\\"Lokaler Katalog zuerst; externe Lookups nur über freigegebene Provider. Mehrere Listings bleiben Auswahlpflicht.\\\")\\n    45|        summary = data.get_instrument_catalog_summary(conn)\\n    46|        st.write(summary)\\n    47|        query = st.text_input(\\\"Suche nach ISIN, Symbol, Name, Provider-Symbol, Exchange oder Currency\\\", key=\\\"catalog_search_query\\\")\\n    48|        class_filter = st.selectbox(\\\"Filter\\\", [\\\"\\\", \\\"equity\\\", \\\"etf\\\", \\\"crypto\\\", \\\"cash\\\"], key=\\\"catalog_search_class\\\")\\n    49|        catalog_rows = data.get_instrument_catalog_entries(conn, query=query or None, asset_class=class_filter or None)\\n    50|        show_table(st, catalog_rows)\\n    51|        st.divider()\\n    52|        st.subheader(\\\"Katalogeintrag manuell anlegen\\\")\\n    53|        c_asset = st.selectbox(\\\"Assetklasse\\\", [\\\"equity\\\", \\\"etf\\\"], key=\\\"catalog_new_asset\\\")\\n    54|        c_name = st.text_input(\\\"Name\\\", key=\\\"catalog_new_name\\\")\\n    55|        c_isin = st.text_input(\\\"ISIN\\\", key=\\\"catalog_new_isin\\\")\\n    56|        c_ticker = st.text_input(\\\"Ticker/Symbol\\\", key=\\\"catalog_new_ticker\\\")\\n    57|        c_exchange = st.text_input(\\\"Exchange\\\", key=\\\"catalog_new_exchange\\\")\\n    58|        c_currency = st.selectbox(\\\"Trading/Instrument Currency\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"catalog_new_currency\\\")\\n    59|        c_provider = st.text_input(\\\"Provider\\\", value=\\\"manual\\\", key=\\\"catalog_new_provider\\\")\\n    60|        c_provider_symbol = st.text_input(\\\"Provider-Symbol\\\", key=\\\"catalog_new_provider_symbol\\\")\\n    61|        c_hedge = st.selectbox(\\\"Hedge Status\\\", [\\\"unknown\\\", \\\"hedged\\\", \\\"unhedged\\\"], key=\\\"catalog_new_hedge\\\")\\n    62|        c_status = st.selectbox(\\\"Instrument Status\\\", [\\\"unknown\\\", \\\"active\\\", \\\"suspended\\\", \\\"delisted\\\", \\\"merged\\\", \\\"inactive\\\"], key=\\\"catalog_new_status\\\")\\n    63|        c_policy = st.selectbox(\\\"Valuation Policy\\\", [\\\"live_price\\\", \\\"last_known_price\\\", \\\"manual_value\\\", \\\"exclude_from_auto_price_update\\\"], key=\\\"catalog_new_policy\\\")\\n    64|        c_note = st.text_area(\\\"Katalog-Notiz (Pflicht)\\\", key=\\\"catalog_new_note\\\")\\n    65|        if st.button(\\\"Katalogeintrag speichern\\\", key=\\\"catalog_new_save\\\"):\\n    66|            try:\\n    67|                cid = create_manual_catalog_entry(conn, asset_class=c_asset, name=c_name, isin=c_isin, ticker=c_ticker, exchange=c_exchange, currency=c_currency, provider=c_provider, provider_symbol=c_provider_symbol, hedge_status=c_hedge, instrument_status=c_status, valuation_policy=c_policy, note=c_note)\\n    68|                st.success(\\\"Katalogeintrag gespeichert; Audit-Log geschrieben.\\\")\\n    69|                st.write({\\\"catalog_entry_id\\\": cid})\\n    70|            except Exception as exc:\\n    71|                st.error(f\\\"Katalogspeicherung abgelehnt: {exc}\\\")\\n    72|        st.divider()\\n    73|        st.subheader(\\\"Position aus Katalog hinzufügen\\\")\\n    74|        entry_labels = [f\\\"{r.get('catalog_entry_id')} | {r.get('ticker') or ''} | {r.get('name')} | {r.get('isin') or ''} | {r.get('exchange') or ''} | {r.get('trading_currency') or ''}\\\" for r in catalog_rows]\\n    75|        entry_label = st.selectbox(\\\"Katalog-Kandidat auswählen\\\", entry_labels, key=\\\"catalog_position_entry\\\") if entry_labels else None\\n    76|        pos_account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=\\\"catalog_position_account\\\") if account_labels else None\\n    77|        pos_type = st.selectbox(\\\"Positionstyp\\\", [\\\"initial_snapshot\\\", \\\"buy\\\", \\\"manual_adjustment\\\"], key=\\\"catalog_position_type\\\")\\n    78|        pos_qty = st.text_input(\\\"Menge als Decimal-Text\\\", key=\\\"catalog_position_qty\\\")\\n    79|        pos_date = st.date_input(\\\"Datum\\\", key=\\\"catalog_position_date\\\")\\n    80|        pos_currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"catalog_position_currency\\\")\\n    81|        pos_cost = st.text_input(\\\"Einstandspreis / Cost Basis optional\\\", key=\\\"catalog_position_cost\\\")\\n    82|        pos_fx_status = st.selectbox(\\\"FX-Status\\\", [\\\"not_needed\\\", \\\"missing\\\", \\\"manual_override\\\", \\\"manual_override_required\\\"], key=\\\"catalog_position_fx_status\\\")\\n    83|        pos_fx_rate = st.text_input(\\\"FX-Rate optional\\\", key=\\\"catalog_position_fx_rate\\\")\\n    84|        pos_fx_source = st.text_input(\\\"FX-Quelle optional\\\", key=\\\"catalog_position_fx_source\\\")\\n    85|        pos_note = st.text_area(\\\"Review-/Bestätigungsnotiz\\\", key=\\\"catalog_position_note\\\")\\n    86|        pos_confirm = st.checkbox(\\\"Ich bestätige diese einzelne Katalog-Position\\\", key=\\\"catalog_position_confirm\\\")\\n    87|        selected_pos_account = _selected(options[\\\"accounts\\\"], pos_account_label, _account_label)\\n    88|        if st.button(\\\"Position aus Katalog speichern\\\", key=\\\"catalog_position_save\\\", type=\\\"primary\\\"):\\n    89|            try:\\n    90|                if not entry_label or not selected_pos_account:\\n    91|                    raise ValueError(\\\"catalog entry and account are required\\\")\\n    92|                result = add_manual_position_from_catalog(conn, catalog_entry_id=entry_label.split(\\\" | \\\", 1)[0], account_id=selected_pos_account[\\\"account_id\\\"], position_type=pos_type, quantity_text=pos_qty, trade_date=str(pos_date), currency=pos_currency, cost_basis_original_text=pos_cost or None, fx_status=pos_fx_status, fx_rate_to_chf_text=pos_fx_rate or None, fx_source=pos_fx_source or None, note=pos_note, confirm=bool(pos_confirm))\\n    93|                st.success(\\\"Position gespeichert und auditierbar erfasst.\\\")\\n    94|                st.write({\\\"instrument_id\\\": result.instrument_id, \\\"transaction_id\\\": result.transaction_id, \\\"warnings\\\": result.warnings})\\n    95|            except Exception as exc:\\n    96|                st.error(f\\\"Positionsspeicherung abgelehnt: {exc}\\\")\\n    97|\\n    98|    with tabs[1]:\\n    99|        st.subheader(\\\"Aktie/ETF als Initial Snapshot hinzufügen\\\")\\n   100|        account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=\\\"equity_add_account\\\") if account_labels else None\\n   101|        asset_class = st.selectbox(\\\"Assetklasse\\\", [\\\"stock\\\", \\\"ETF\\\"], key=\\\"equity_add_class\\\")\\n   102|        name = st.text_input(\\\"Name\\\", key=\\\"equity_add_name\\\")\\n   103|        isin = st.text_input(\\\"ISIN (primäre Identifikation)\\\", key=\\\"equity_add_isin\\\")\\n   104|        ticker = st.text_input(\\\"Ticker optional\\\", key=\\\"equity_add_ticker\\\")\\n   105|        exchange = st.text_input(\\\"Exchange optional\\\", key=\\\"equity_add_exchange\\\")\\n   106|        currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"equity_add_currency\\\")\\n   107|        quantity = st.text_input(\\\"Menge als Decimal-Text\\\", key=\\\"equity_add_qty\\\")\\n   108|        cost_basis = st.text_input(\\\"Einstandspreis / Cost Basis Originalwährung\\\", key=\\\"equity_add_cost\\\")\\n   109|        fx_rate = st.text_input(\\\"FX-Kurs zu CHF (bei EUR/USD)\\\", key=\\\"equity_add_fx\\\")\\n   110|        fx_source = st.text_input(\\\"FX-Quelle\\\", key=\\\"equity_add_fx_source\\\")\\n   111|        fx_status = st.selectbox(\\\"FX-Status\\\", [\\\"ok\\\", \\\"missing\\\"], key=\\\"equity_add_fx_status\\\")\\n   112|        snapshot_date = st.date_input(\\\"Snapshot-Datum\\\", key=\\\"equity_add_date\\\")\\n   113|        category = st.selectbox(\\\"Kategorie\\\", [\\\"Core\\\", \\\"Opportunity\\\", \\\"Unknown\\\"], key=\\\"equity_add_category\\\")\\n   114|        note = st.text_area(\\\"Notiz (Pflicht bei unvollständiger Historie)\\\", key=\\\"equity_add_note\\\")\\n   115|        with st.expander(\\\"ETF-spezifische Felder\\\"):\\n   116|            ter = st.text_input(\\\"TER optional\\\", key=\\\"equity_add_ter\\\")\\n   117|            distribution_policy = st.text_input(\\\"ausschüttend/thesaurierend optional\\\", key=\\\"equity_add_distribution\\\")\\n   118|            index_name = st.text_input(\\\"Index optional\\\", key=\\\"equity_add_index\\\")\\n   119|            fund_domicile = st.text_input(\\\"Fondsdomizil optional\\\", key=\\\"equity_add_domicile\\\")\\n   120|            benchmark = st.text_input(\\\"Benchmark optional\\\", key=\\\"equity_add_benchmark\\\")\\n   121|        confirm = st.checkbox(\\\"Ich bestätige diese einzelne Änderung\\\", key=\\\"equity_add_confirm\\\")\\n   122|        selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n   123|        st.write({\\\"Aktion\\\": \\\"initial_position_snapshot\\\", \\\"Name\\\": name, \\\"ISIN\\\": isin or \\\"<fehlt>\\\", \\\"Ticker\\\": ticker or \\\"<fehlt>\\\", \\\"Währung\\\": currency, \\\"Datum\\\": str(snapshot_date), \\\"Hinweis\\\": \\\"Keine Massenänderung; Speicherung erst nach Bestätigung.\\\"})\\n   124|        if st.button(\\\"Bestätigt speichern\\\", key=\\\"equity_add_save\\\", type=\\\"primary\\\"):\\n   125|            try:\\n   126|                if not selected_account:\\n   127|                    raise ValueError(\\\"account is required\\\")\\n   128|                result = add_equity_initial_snapshot(\\n   129|                    conn,\\n   130|                    account_id=selected_account[\\\"account_id\\\"],\\n   131|                    asset_class=asset_class,\\n   132|                    name=name,\\n   133|                    isin=isin,\\n   134|                    ticker=ticker,\\n   135|                    exchange=exchange,\\n   136|                    currency=currency,\\n   137|                    quantity_text=quantity,\\n   138|                    cost_basis_original_text=cost_basis,\\n   139|                    snapshot_date=str(snapshot_date),\\n   140|                    category=category,\\n   141|                    note=note,\\n   142|                    fx_rate_to_chf_text=fx_rate or None,\\n   143|                    fx_source=fx_source or None,\\n   144|                    fx_status=fx_status,\\n   145|                    ter_text=ter or None,\\n   146|                    distribution_policy=distribution_policy or None,\\n   147|                    index_name=index_name or None,\\n   148|                    fund_domicile=fund_domicile or None,\\n   149|                    benchmark=benchmark or None,\\n   150|                    confirm=bool(confirm),\\n   151|                )\\n   152|                st.success(\\\"Initial Snapshot gespeichert und auditierbar erfasst.\\\")\\n   153|                st.write({\\\"instrument_id\\\": result.instrument_id, \\\"transaction_id\\\": result.transaction_id, \\\"warnings\\\": result.warnings})\\n   154|            except Exception as exc:\\n   155|                st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n   156|\\n   157|    def transaction_form(tab, title: str, tx_type: str) -> None:\\n   158|        with tab:\\n   159|            st.subheader(title)\\n   160|            account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=f\\\"equity_{tx_type}_account\\\") if account_labels else None\\n   161|            instrument_label = st.selectbox(\\\"Instrument\\\", instrument_labels, key=f\\\"equity_{tx_type}_instrument\\\") if instrument_labels else None\\n   162|            date_value = st.date_input(\\\"Datum\\\", key=f\\\"equity_{tx_type}_date\\\")\\n   163|            qty_default = \\\"0\\\" if tx_type in {\\\"dividend\\\", \\\"etf_distribution\\\", \\\"fee\\\"} else \\\"\\\"\\n   164|            quantity = st.text_input(\\\"Menge als Decimal-Text\\\", value=qty_default, key=f\\\"equity_{tx_type}_qty\\\")\\n   165|            gross = st.text_input(\\\"Brutto/Cost/Proceeds Originalwährung\\\", key=f\\\"equity_{tx_type}_gross\\\")\\n   166|            currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=f\\\"equity_{tx_type}_currency\\\")\\n   167|            fx_rate = st.text_input(\\\"FX-Kurs zu CHF (bei EUR/USD)\\\", key=f\\\"equity_{tx_type}_fx\\\")\\n   168|            fx_source = st.text_input(\\\"FX-Quelle\\\", key=f\\\"equity_{tx_type}_fx_source\\\")\\n   169|            fx_status = st.selectbox(\\\"FX-Status\\\", [\\\"ok\\\", \\\"missing\\\"], key=f\\\"equity_{tx_type}_fx_status\\\")\\n   170|            note = st.text_area(\\\"Notiz / Grund\\\", key=f\\\"equity_{tx_type}_note\\\")\\n   171|            confirm = st.checkbox(\\\"Ich bestätige diese Änderung\\\", key=f\\\"equity_{tx_type}_confirm\\\")\\n   172|            selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n   173|            selected_instrument = _selected(options[\\\"instruments\\\"], instrument_label, _instrument_label)\\n   174|            st.write({\\\"Aktion\\\": tx_type, \\\"Instrument\\\": instrument_label, \\\"Datum\\\": str(date_value), \\\"FX-Status\\\": fx_status})\\n   175|            if st.button(\\\"Bestätigt speichern\\\", key=f\\\"equity_{tx_type}_save\\\"):\\n   176|                try:\\n   177|                    if not selected_account or not selected_instrument:\\n   178|                        raise ValueError(\\\"account and instrument are required\\\")\\n   179|                    result = add_equity_transaction(\\n   180|                        conn,\\n   181|                        account_id=selected_account[\\\"account_id\\\"],\\n   182|                        instrument_id=selected_instrument[\\\"instrument_id\\\"],\\n   183|                        transaction_type=tx_type,\\n   184|                        trade_date=str(date_value),\\n   185|                        quantity_text=quantity,\\n   186|                        gross_amount_original_text=gross,\\n   187|                        currency=currency,\\n   188|                        fx_rate_to_chf_text=fx_rate or None,\\n   189|                        fx_source=fx_source or None,\\n   190|                        fx_status=fx_status,\\n   191|                        note=note,\\n   192|                        confirm=bool(confirm),\\n   193|                    )\\n   194|                    st.success(\\\"Transaktion gespeichert und auditierbar erfasst.\\\")\\n   195|                    st.write({\\\"transaction_id\\\": result.transaction_id, \\\"warnings\\\": result.warnings})\\n   196|                except Exception as exc:\\n   197|                    st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n   198|\\n   199|    transaction_form(tabs[2], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n   200|    transaction_form(tabs[3], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n   201|    transaction_form(tabs[4], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n   202|    transaction_form(tabs[5], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n   203|    transaction_form(tabs[6], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n   204|    transaction_form(tabs[7], \\\"Fee erfassen\\\", \\\"fee\\\")\\n   205|    transaction_form(tabs[8], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n   206|\\n   207|    with tabs[9]:\\n   208|        st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n   209|        show_table(st, data.get_positions(conn))\\n   210|        st.divider()\\n   211|        st.subheader(\\\"Instrument Price Mapping Review\\\")\\n   212|        st.caption(\\\"Runtime-Review: Kandidaten ansehen und manuell bestätigen. Keine Live-API und keine Positionsänderung beim Rendern.\\\")\\n   213|        review_rows = data.get_instrument_mapping_review(conn)\\n   214|        show_table(st, review_rows)\\n   215|        candidates_all = data.get_instrument_mapping_candidates(conn)\\n   216|        provider_filter = st.selectbox(\\\"Filter Provider\\\", [\\\"\\\"] + sorted({c.get(\\\"candidate_provider\\\", \\\"\\\") for c in candidates_all if c.get(\\\"candidate_provider\\\")}), key=\\\"mapping_candidate_provider_filter\\\") if candidates_all else \\\"\\\"\\n   217|        exchange_filter = st.selectbox(\\\"Filter Exchange\\\", [\\\"\\\"] + sorted({c.get(\\\"candidate_exchange\\\", \\\"\\\") for c in candidates_all if c.get(\\\"candidate_exchange\\\")}), key=\\\"mapping_candidate_exchange_filter\\\") if candidates_all else \\\"\\\"\\n   218|        currency_filter = st.selectbox(\\\"Filter Währung\\\", [\\\"\\\"] + sorted({c.get(\\\"candidate_currency\\\", \\\"\\\") for c in candidates_all if c.get(\\\"candidate_currency\\\")}), key=\\\"mapping_candidate_currency_filter\\\") if candidates_all else \\\"\\\"\\n   219|        confidence_filter = st.selectbox(\\\"Filter Confidence\\\", [\\\"\\\", \\\"high\\\", \\\"medium\\\", \\\"low\\\"], key=\\\"mapping_candidate_confidence_filter\\\") if candidates_all else \\\"\\\"\\n   220|        hedge_filter = st.selectbox(\\\"Filter Hedge-Status\\\", [\\\"\\\"] + sorted({c.get(\\\"candidate_hedge_status\\\", \\\"\\\") for c in candidates_all if c.get(\\\"candidate_hedge_status\\\")}), key=\\\"mapping_candidate_hedge_filter\\\") if candidates_all else \\\"\\\"\\n   221|        candidates = [c for c in candidates_all if (not provider_filter or c.get(\\\"candidate_provider\\\") == provider_filter) and (not exchange_filter or c.get(\\\"candidate_exchange\\\") == exchange_filter) and (not currency_filter or c.get(\\\"candidate_currency\\\") == currency_filter) and (not confidence_filter or c.get(\\\"confidence\\\") == confidence_filter) and (not hedge_filter or c.get(\\\"candidate_hedge_status\\\") == hedge_filter)]\\n   222|        show_table(st, candidates)\\n   223|        candidate_labels = [f\\\"{c['candidate_id']} | {c['candidate_provider']} | {c['candidate_provider_symbol']} | {c['candidate_exchange']} | {c['candidate_currency']} | score={c.get('ranking_score','')} | {c.get('ranking_mark','')} | {c['confidence']} | {c['review_status']}\\\" for c in candidates]\\n   224|        selected_candidate_label = st.selectbox(\\\"Mapping-Kandidat auswählen\\\", candidate_labels, key=\\\"mapping_candidate_select\\\") if candidate_labels else None\\n   225|        mapping_note = st.text_area(\\\"Bestätigungsnotiz für Mapping-Auswahl\\\", key=\\\"mapping_candidate_note\\\")\\n   226|        st.info(\\\"Aktionen: Kandidat auswählen, Kandidat ablehnen, manuell erfassen über Tab 'Instrument Search / Add Position', oder später prüfen durch Nicht-Auswahl.\\\")\\n   227|        if st.button(\\\"Ausgewählten Mapping-Kandidaten bestätigen\\\", key=\\\"mapping_candidate_confirm\\\"):\\n   228|            try:\\n   229|                if not selected_candidate_label:\\n   230|                    raise ValueError(\\\"candidate is required\\\")\\n   231|                candidate_id = selected_candidate_label.split(\\\" | \\\", 1)[0]\\n   232|                mapping_id = select_mapping_candidate(conn, candidate_id=candidate_id, note=mapping_note, created_by=\\\"dashboard\\\")\\n   233|                st.success(\\\"Mapping-Kandidat bestätigt; Audit-Log geschrieben.\\\")\\n   234|                st.write({\\\"mapping_id\\\": mapping_id})\\n   235|            except Exception as exc:\\n   236|                st.error(f\\\"Mapping-Auswahl abgelehnt: {exc}\\\")\\n   237|        if st.button(\\\"Ausgewählten Mapping-Kandidaten ablehnen\\\", key=\\\"mapping_candidate_reject\\\"):\\n   238|            try:\\n   239|                if not selected_candidate_label:\\n   240|                    raise ValueError(\\\"candidate is required\\\")\\n   241|                candidate_id = selected_candidate_label.split(\\\" | \\\", 1)[0]\\n   242|                reject_mapping_candidate(conn, candidate_id=candidate_id, note=mapping_note, created_by=\\\"dashboard\\\")\\n   243|                st.success(\\\"Mapping-Kandidat abgelehnt; Audit-Log geschrieben.\\\")\\n   244|            except Exception as exc:\\n   245|                st.error(f\\\"Mapping-Ablehnung abgelehnt: {exc}\\\")\\n   246|        st.caption(\\\"Manuell erfassen: neuen Katalogeintrag im Tab 'Instrument Search / Add Position' speichern. Keine Portfolio-Transaktion wird durch Mapping Review geändert.\\\")\\n   247|        st.divider()\\n   248|        st.subheader(\\\"FX Override Review\\\")\\n   249|        st.caption(\\\"Historische FX-Rates nur manuell mit Quelle/Notiz erfassen. Keine Rates ohne bewusste Speicherung.\\\")\\n   250|        fx_rows = data.get_fx_override_requirements(conn)\\n   251|        show_table(st, fx_rows)\\n   252|        fx_labels = [f\\\"{r['base_currency']}/{r['quote_currency']} {r['rate_date']} ({r['fx_status']})\\\" for r in fx_rows]\\n   253|        fx_label = st.selectbox(\\\"FX-Paar/Datum\\\", fx_labels, key=\\\"fx_override_select\\\") if fx_labels else None\\n   254|        fx_rate = st.text_input(\\\"FX-Rate zu CHF\\\", key=\\\"fx_override_rate\\\")\\n   255|        fx_note = st.text_area(\\\"FX-Quelle/Notiz (Pflicht)\\\", key=\\\"fx_override_note\\\")\\n   256|        if st.button(\\\"Manual FX Override speichern\\\", key=\\\"fx_override_save\\\"):\\n   257|            try:\\n   258|                if not fx_label:\\n   259|                    raise ValueError(\\\"fx pair/date is required\\\")\\n   260|                pair, date_part = fx_label.split(\\\" \\\", 1)\\n   261|\", \"total_lines\": 266, \"file_size\": 20120, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 266 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_mMSyAFLToX6uNUZOJYcMiqyx"
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      "reasoning": "**Considering UI enhancements**\n\nI’m looking at the current UI setup and thinking about possible changes. I need to add a review queue, maybe in page 15, which sounds like a good idea. However, I realize I also need data functions to ensure everything works smoothly. It's important to keep the user experience in mind as I make these adjustments, so what can I do to make this addition seamless for users? Let's figure this out!",
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      "reasoning_content": "**Considering UI enhancements**\n\nI’m looking at the current UI setup and thinking about possible changes. I need to add a review queue, maybe in page 15, which sounds like a good idea. However, I realize I also need data functions to ensure everything works smoothly. It's important to keep the user experience in mind as I make these adjustments, so what can I do to make this addition seamless for users? Let's figure this out!",
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          "id": "rs_0791577ebb536a40016a07768cda9c8191897c4609f2d95cfd",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering UI enhancements**\n\nI’m looking at the current UI setup and thinking about possible changes. I need to add a review queue, maybe in page 15, which sounds like a good idea. However, I realize I also need data functions to ensure everything works smoothly. It's important to keep the user experience in mind as I make these adjustments, so what can I do to make this addition seamless for users? Let's figure this out!"
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          "call_id": "call_4uA1XEefTYjJPWcY76Apzl01",
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          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":280,\"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 grouped_number(value: Decimal | int | str, places: str = \\\"0.01\\\") -> str:\\n    36|    text = dec_text(value, places)\\n    37|    whole, _, frac = text.partition(\\\".\\\")\\n    38|    sign = \\\"-\\\" if whole.startswith(\\\"-\\\") else \\\"\\\"\\n    39|    whole = whole.lstrip(\\\"-\\\")\\n    40|    groups: list[str] = []\\n    41|    while whole:\\n    42|        groups.append(whole[-3:])\\n    43|        whole = whole[:-3]\\n    44|    grouped = \\\"'\\\".join(reversed(groups)) if groups else \\\"0\\\"\\n    45|    return f\\\"{sign}{grouped}{('.' + frac) if frac else ''}\\\"\\n    46|\\n    47|\\n    48|def chf_text(value: Decimal | int | str | None) -> str:\\n    49|    if value is None:\\n    50|        return \\\"nicht bewertet\\\"\\n    51|    return f\\\"CHF {grouped_number(value)}\\\"\\n    52|\\n    53|\\n    54|def date_text(value: str | None) -> str:\\n    55|    if not value:\\n    56|        return \\\"\\\"\\n    57|    raw = str(value)\\n    58|    if \\\"T\\\" in raw:\\n    59|        return raw.split(\\\"T\\\", 1)[0]\\n    60|    return raw[:10]\\n    61|\\n    62|\\n    63|def money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n    64|    if currency.upper() == \\\"CHF\\\":\\n    65|        return chf_text(value)\\n    66|    if value is None:\\n    67|        return f\\\"n/a {currency}\\\"\\n    68|    return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n    69|\\n    70|\\n    71|STATUS_LABELS = {\\n    72|    \\\"missing_market_price\\\": \\\"Preis fehlt\\\",\\n    73|    \\\"missing_provider_symbol\\\": \\\"Mapping fehlt\\\",\\n    74|    \\\"missing_price\\\": \\\"Preis fehlt\\\",\\n    75|    \\\"missing_fx\\\": \\\"FX-Kurs fehlt\\\",\\n    76|    \\\"cost_basis_uncertain\\\": \\\"Einstand unvollständig\\\",\\n    77|    \\\"incomplete\\\": \\\"Unvollständig\\\",\\n    78|    \\\"snapshot_only\\\": \\\"Snapshot-only\\\",\\n    79|    \\\"fresh\\\": \\\"Aktuell\\\",\\n    80|    \\\"stale\\\": \\\"Veraltet\\\",\\n    81|    \\\"missing\\\": \\\"Preis fehlt\\\",\\n    82|    \\\"unknown\\\": \\\"Ungeklärt\\\",\\n    83|    \\\"mapped\\\": \\\"Zugeordnet\\\",\\n    84|    \\\"confirmed\\\": \\\"Bestätigt\\\",\\n    85|    \\\"user_confirmed\\\": \\\"Bestätigt\\\",\\n    86|    \\\"ok\\\": \\\"Aktuell\\\",\\n    87|    \\\"warning\\\": \\\"Hinweis\\\",\\n    88|    \\\"critical\\\": \\\"Kritisch\\\",\\n    89|    \\\"kritisch\\\": \\\"Kritisch\\\",\\n    90|    \\\"warnung\\\": \\\"Wichtig\\\",\\n    91|    \\\"info\\\": \\\"Info\\\",\\n    92|    \\\"active\\\": \\\"Aktiv\\\",\\n    93|    \\\"inactive\\\": \\\"Inaktiv\\\",\\n    94|    \\\"verified\\\": \\\"Verifiziert\\\",\\n    95|}\\n    96|\\n    97|\\n    98|def translate_status(status: str | None) -> str:\\n    99|    if not status:\\n   100|        return \\\"Ungeklärt\\\"\\n   101|    return STATUS_LABELS.get(str(status), str(status).replace(\\\"_\\\", \\\" \\\").capitalize())\\n   102|\\n   103|\\n   104|def is_technical_note(text: str | None) -> bool:\\n   105|    if not text:\\n   106|        return False\\n   107|    lowered = text.lower()\\n   108|    markers = [\\\"productive initial crypto snapshot import\\\", \\\"no wallet address from xlsx\\\", \\\"initial crypto snapshot import\\\"]\\n   109|    return any(marker in lowered for marker in markers)\\n   110|\\n   111|\\n   112|def user_note(text: str | None) -> str:\\n   113|    return \\\"\\\" if is_technical_note(text) else (text or \\\"\\\")\\n   114|\\n   115|\\n   116|def visible_user_columns(row: dict[str, str]) -> list[str]:\\n   117|    hidden = {\\\"asset_id\\\", \\\"wallet_id\\\", \\\"instrument_id\\\", \\\"entity_id\\\", \\\"rule_id\\\", \\\"source_id\\\", \\\"provider_symbol_status\\\", \\\"hedge_status\\\", \\\"dedup_key\\\", \\\"fingerprint\\\", \\\"raw_json\\\"}\\n   118|    return [k for k in row if not k.startswith(\\\"_\\\") and k not in hidden]\\n   119|\\n   120|\\n   121|def percent_text(value: Decimal | None) -> str:\\n   122|    if value is None:\\n   123|        return \\\"\\\"\\n   124|    return f\\\"{dec_text(value, '0.01')}%\\\"\\n   125|\\n   126|\\n   127|def price_status(price: dict[str, str] | None) -> str:\\n   128|    if not price:\\n   129|        return \\\"missing\\\"\\n   130|    return price.get(\\\"quality_status\\\") or \\\"missing\\\"\\n   131|\\n   132|\\n   133|def _latest_price_time(conn: Connection, *, currency: str = \\\"CHF\\\") -> str:\\n   134|    row = conn.execute(\\n   135|        \\\"\\\"\\\"\\n   136|        SELECT COALESCE(MAX(provider_timestamp), MAX(fetched_at)) AS ts\\n   137|        FROM crypto_prices WHERE price_currency=?\\n   138|        \\\"\\\"\\\",\\n   139|        (currency.upper(),),\\n   140|    ).fetchone()\\n   141|    return row[\\\"ts\\\"] if row and row[\\\"ts\\\"] else \\\"\\\"\\n   142|\\n   143|\\n   144|def _crypto_value_rows(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, object]]:\\n   145|    holdings = calculate_crypto_holdings(conn)\\n   146|    rows: list[dict[str, object]] = []\\n   147|    for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n   148|        asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n   149|        if not asset:\\n   150|            continue\\n   151|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   152|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   153|        value = holding.quantity * price_dec if price_dec is not None else None\\n   154|        wallets = {wid for (wid, aid), wh in holdings.wallet_holdings.items() if aid == asset_id and wh.quantity != 0}\\n   155|        rows.append({\\n   156|            \\\"asset_id\\\": asset_id,\\n   157|            \\\"coin\\\": asset[\\\"coin_name\\\"],\\n   158|            \\\"symbol\\\": asset[\\\"symbol\\\"],\\n   159|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n   160|            \\\"quantity\\\": holding.quantity,\\n   161|            \\\"price\\\": price_dec,\\n   162|            \\\"value\\\": value,\\n   163|            \\\"wallet_count\\\": len(wallets),\\n   164|            \\\"price_status\\\": price_status(price),\\n   165|            \\\"last_price_update\\\": (price[\\\"provider_timestamp\\\"] or price[\\\"fetched_at\\\"]) if price else \\\"\\\",\\n   166|        })\\n   167|    return rows\\n   168|\\n   169|\\n   170|def rowdicts(rows) -> list[dict[str, str]]:\\n   171|    return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n   172|\\n   173|\\n   174|def db_exists(path: str | Path) -> bool:\\n   175|    return Path(path).expanduser().exists()\\n   176|\\n   177|\\n   178|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n   179|    try:\\n   180|        settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n   181|        return False\\n   182|    except ValueError:\\n   183|        return True\\n   184|\\n   185|\\n   186|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:\\n   187|    row = conn.execute(\\n   188|        \\\"\\\"\\\"\\n   189|        SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider\\n   190|        FROM crypto_prices\\n   191|        WHERE asset_id=? AND price_currency=?\\n   192|        ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1\\n   193|        \\\"\\\"\\\",\\n   194|        (asset_id, currency.upper()),\\n   195|    ).fetchone()\\n   196|    if not row:\\n   197|        return None\\n   198|    item = dict(row)\\n   199|    ts = item.get(\\\"provider_timestamp\\\") or item.get(\\\"fetched_at\\\")\\n   200|    if item.get(\\\"quality_status\\\") == \\\"fresh\\\" and is_price_stale(ts, max_age_seconds=max_age_seconds):\\n   201|        item[\\\"quality_status\\\"] = \\\"stale\\\"\\n   202|    return item\\n   203|\\n   204|\\n   205|def get_crypto_summary_cards(conn: Connection, *, price_max_age_seconds: int = 86_400) -> dict[str, str]:\\n   206|    rows = _crypto_value_rows(conn, price_max_age_seconds=price_max_age_seconds)\\n   207|    holdings = calculate_crypto_holdings(conn)\\n   208|    total_value = sum((r[\\\"value\\\"] for r in rows if r[\\\"value\\\"] is not None), Decimal(\\\"0\\\"))\\n   209|    missing = sum(1 for r in rows if r[\\\"price_status\\\"] == \\\"missing\\\")\\n   210|    stale = sum(1 for r in rows if r[\\\"price_status\\\"] == \\\"stale\\\")\\n   211|    wallets_with_holdings = {wid for (wid, _aid), holding in holdings.wallet_holdings.items() if holding.quantity != 0}\\n   212|    status = \\\"ok\\\" if missing == 0 and stale == 0 else (\\\"warning\\\" if missing or stale else \\\"ok\\\")\\n   213|    return {\\n   214|        \\\"total_value_chf\\\": dec_text(total_value),\\n   215|        \\\"coin_count\\\": str(len(rows)),\\n   216|        \\\"wallets_with_holdings\\\": str(len(wallets_with_holdings)),\\n   217|        \\\"holding_count\\\": str(sum(1 for h in holdings.wallet_holdings.values() if h.quantity != 0)),\\n   218|        \\\"coins_without_price\\\": str(missing),\\n   219|        \\\"stale_price_count\\\": str(stale),\\n   220|        \\\"last_price_update_at\\\": _latest_price_time(conn),\\n   221|        \\\"data_quality_status\\\": status,\\n   222|    }\\n   223|\\n   224|\\n   225|def _wallet_names_for_asset(conn: Connection, asset_id: str) -> list[str]:\\n   226|    holdings = calculate_crypto_holdings(conn)\\n   227|    names: list[str] = []\\n   228|    for (wallet_id, aid), holding in holdings.wallet_holdings.items():\\n   229|        if aid == asset_id and holding.quantity != 0:\\n   230|            row = conn.execute(\\\"SELECT wallet_name FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n   231|            if row:\\n   232|                names.append(row[\\\"wallet_name\\\"])\\n   233|    return sorted(names)\\n   234|\\n   235|\\n   236|def get_crypto_coin_summary(\\n   237|    conn: Connection,\\n   238|    *,\\n   239|    admin_mode: bool = False,\\n   240|    price_max_age_seconds: int = 86_400,\\n   241|    sort_by: str = \\\"Wert absteigend\\\",\\n   242|    search: str | None = None,\\n   243|    status_filter: str | None = None,\\n   244|    wallet_filter: str | None = None,\\n   245|) -> list[dict[str, str]]:\\n   246|    raw = _crypto_value_rows(conn, price_max_age_seconds=price_max_age_seconds)\\n   247|    total = sum((r[\\\"value\\\"] for r in raw if r[\\\"value\\\"] is not None), Decimal(\\\"0\\\"))\\n   248|    out: list[dict[str, str]] = []\\n   249|    for r in sorted(raw, key=lambda item: item[\\\"value\\\"] or Decimal(\\\"-1\\\"), reverse=True):\\n   250|        value = r[\\\"value\\\"]\\n   251|        share = ((value / total) * Decimal(\\\"100\\\")) if value is not None and total else None\\n   252|        item = {\\n   253|            \\\"coin\\\": str(r[\\\"coin\\\"]),\\n   254|            \\\"symbol\\\": str(r[\\\"symbol\\\"]),\\n   255|            \\\"gesamtmenge\\\": dec_text(r[\\\"quantity\\\"]),\\n   256|            \\\"kurs_chf\\\": chf_text(r[\\\"price\\\"]) if r[\\\"price\\\"] is not None else \\\"nicht bewertet\\\",\\n   257|            \\\"gesamtwert_chf\\\": chf_text(value) if value is not None else \\\"nicht bewertet\\\",\\n   258|            \\\"anteil\\\": percent_text(share),\\n   259|            \\\"wallets\\\": str(r[\\\"wallet_count\\\"]),\\n   260|            \\\"status\\\": translate_status(str(r[\\\"price_status\\\"])),\\n   261|            \\\"_sort_value_chf\\\": dec_text(value or Decimal(\\\"0\\\"), \\\"0.01\\\"),\\n   262|            \\\"_last_price_update\\\": date_text(str(r[\\\"last_price_update\\\"])),\\n   263|            \\\"_asset_id\\\": str(r[\\\"asset_id\\\"]),\\n   264|            \\\"_wallet_names\\\": \\\" | \\\".join(_wallet_names_for_asset(conn, str(r[\\\"asset_id\\\"]))),\\n   265|        }\\n   266|        if admin_mode:\\n   267|            item.update({\\\"asset_id\\\": str(r[\\\"asset_id\\\"]), \\\"coingecko_id\\\": str(r[\\\"coingecko_id\\\"]), \\\"price_status\\\": str(r[\\\"price_status\\\"]), \\\"last_price_update\\\": str(r[\\\"last_price_update\\\"])})\\n   268|        out.append(item)\\n   269|    if search:\\n   270|        needle = search.lower()\\n   271|        out = [row for row in out if needle in row[\\\"coin\\\"].lower() or needle in row[\\\"symbol\\\"].lower()]\\n   272|    if status_filter and status_filter != \\\"Alle\\\":\\n   273|        out = [row for row in out if row[\\\"status\\\"] == status_filter]\\n   274|    if wallet_filter and wallet_filter != \\\"Alle\\\":\\n   275|        out = [row for row in out if wallet_filter in row.get(\\\"_wallet_names\\\", \\\"\\\")]\\n   276|    sorters = {\\n   277|        \\\"Wert absteigend\\\": lambda row: (d(row[\\\"_sort_value_chf\\\"]), row[\\\"coin\\\"]),\\n   278|        \\\"Wert aufsteigend\\\": lambda row: (d(row[\\\"_sort_value_chf\\\"]), row[\\\"coin\\\"]),\\n   279|        \\\"Name A–Z\\\": lambda row: row[\\\"coin\\\"].lower(),\\n   280|        \\\"Anteil\\\": lambda row: (d(row[\\\"anteil\\\"].replace(\\\"%\\\", \\\"\\\")), row[\\\"coin\\\"]),\\n   281|\", \"total_lines\": 1064, \"file_size\": 57329, \"truncated\": true, \"hint\": \"Use offset=281 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      "content": "{\"content\": \"   650|def resolve_alert_entity_label(conn: Connection, entity_type: str | None, entity_id: str | None) -> str:\\n   651|    if not entity_id:\\n   652|        return entity_type or \\\"Portfolio\\\"\\n   653|    if entity_type == \\\"instrument\\\" or str(entity_id).startswith(\\\"instrument-\\\"):\\n   654|        row = conn.execute(\\\"SELECT name, ticker FROM instruments WHERE instrument_id=?\\\", (entity_id,)).fetchone()\\n   655|        if row:\\n   656|            return f\\\"{row['name']} ({row['ticker']})\\\" if row[\\\"ticker\\\"] else row[\\\"name\\\"]\\n   657|        return \\\"Unbekanntes Instrument\\\"\\n   658|    if entity_type == \\\"crypto_asset\\\":\\n   659|        row = conn.execute(\\\"SELECT coin_name, symbol FROM crypto_assets WHERE asset_id=?\\\", (entity_id,)).fetchone()\\n   660|        if row:\\n   661|            return f\\\"{row['coin_name']} ({row['symbol']})\\\"\\n   662|    if entity_type == \\\"crypto_wallet\\\":\\n   663|        row = conn.execute(\\\"SELECT wallet_name FROM crypto_wallets WHERE wallet_id=?\\\", (entity_id,)).fetchone()\\n   664|        if row:\\n   665|            return row[\\\"wallet_name\\\"]\\n   666|    return entity_type or \\\"Portfolio\\\"\\n   667|\\n   668|\\n   669|def alert_title(rule_id: str, message: str = \\\"\\\", entity: str = \\\"\\\") -> str:\\n   670|    labels = {\\n   671|        \\\"missing_fx\\\": \\\"FX-Kurs fehlt\\\",\\n   672|        \\\"stale_fx\\\": \\\"FX-Kurs veraltet\\\",\\n   673|        \\\"missing_market_price\\\": \\\"Marktpreis fehlt\\\",\\n   674|        \\\"stale_market_price\\\": \\\"Marktpreis veraltet\\\",\\n   675|        \\\"missing_provider_symbol\\\": \\\"Marktdaten-Zuordnung fehlt\\\",\\n   676|        \\\"manual_fx_override_required\\\": \\\"Manueller FX-Kurs nötig\\\",\\n   677|        \\\"historical_fx_unavailable\\\": \\\"Historischer FX-Kurs fehlt\\\",\\n   678|        \\\"candidate_review_required\\\": \\\"Mapping muss geprüft werden\\\",\\n   679|        \\\"cost_basis_uncertain\\\": \\\"Einstand unvollständig\\\",\\n   680|        \\\"snapshot_only\\\": \\\"Nur Snapshot-Historie vorhanden\\\",\\n   681|        \\\"missing_crypto_price\\\": \\\"Crypto-Preis fehlt\\\",\\n   682|        \\\"crypto_price_missing\\\": \\\"Crypto-Preis fehlt\\\",\\n   683|    }\\n   684|    title = labels.get(rule_id, translate_status(rule_id))\\n   685|    return f\\\"{title} für {entity}\\\" if entity else title\\n   686|\\n   687|\\n   688|def alert_description(rule_id: str, message: str = \\\"\\\") -> str:\\n   689|    descriptions = {\\n   690|        \\\"missing_fx\\\": \\\"Ein historischer FX-Kurs fehlt. CHF-Performance ist daher unvollständig.\\\",\\n   691|        \\\"stale_fx\\\": \\\"Ein FX-Kurs ist veraltet und sollte aktualisiert werden.\\\",\\n   692|        \\\"missing_market_price\\\": \\\"Für diese Position fehlt ein lokaler Marktpreis. Bewertung bleibt unvollständig.\\\",\\n   693|        \\\"stale_market_price\\\": \\\"Der lokale Marktpreis ist veraltet. Bitte Preisupdate ausführen.\\\",\\n   694|        \\\"missing_provider_symbol\\\": \\\"Für diese Position fehlt oder fehlt noch die bestätigte Marktdaten-Zuordnung.\\\",\\n   695|        \\\"candidate_review_required\\\": \\\"Es gibt Marktdaten-Kandidaten, die manuell bestätigt werden müssen.\\\",\\n   696|        \\\"cost_basis_uncertain\\\": \\\"Die Kaufhistorie oder Einstandsdaten sind unvollständig.\\\",\\n   697|        \\\"snapshot_only\\\": \\\"Diese Position basiert auf einem Snapshot und nicht auf kompletter Historie.\\\",\\n   698|    }\\n   699|    return descriptions.get(rule_id, message.replace(\\\"_\\\", \\\" \\\") if message else \\\"Bitte im Review-Bereich prüfen.\\\")\\n   700|\\n   701|\\n   702|def get_alert_summary_cards(conn: Connection) -> dict[str, str]:\\n   703|    rows = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n   704|    out = {\\\"kritisch\\\": \\\"0\\\", \\\"wichtig\\\": \\\"0\\\", \\\"info\\\": \\\"0\\\"}\\n   705|    for row in rows:\\n   706|        key = \\\"kritisch\\\" if row[\\\"priority\\\"] == \\\"kritisch\\\" else (\\\"info\\\" if row[\\\"priority\\\"] == \\\"info\\\" else \\\"wichtig\\\")\\n   707|        out[key] = str(int(out[key]) + int(row[\\\"c\\\"] or 0))\\n   708|    return out\\n   709|\\n   710|\\n   711|def get_alert_cards(conn: Connection, limit: int = 5) -> list[dict[str, str]]:\\n   712|    rows = conn.execute(\\n   713|        \\\"\\\"\\\"\\n   714|        SELECT priority, category, entity_type, entity_id, rule_id, message, occurrence_count, last_seen_at\\n   715|        FROM alerts WHERE status='active'\\n   716|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, last_seen_at DESC, created_at DESC\\n   717|        LIMIT ?\\n   718|        \\\"\\\"\\\",\\n   719|        (limit,),\\n   720|    ).fetchall()\\n   721|    cards = []\\n   722|    for row in rows:\\n   723|        affected = resolve_alert_entity_label(conn, row[\\\"entity_type\\\"], row[\\\"entity_id\\\"])\\n   724|        cards.append({\\n   725|            \\\"title\\\": alert_title(row[\\\"rule_id\\\"], row[\\\"message\\\"], affected),\\n   726|            \\\"description\\\": alert_description(row[\\\"rule_id\\\"], row[\\\"message\\\"]),\\n   727|            \\\"affected\\\": affected,\\n   728|            \\\"severity\\\": translate_status(row[\\\"priority\\\"]),\\n   729|            \\\"last_seen\\\": date_text(row[\\\"last_seen_at\\\"]),\\n   730|            \\\"actions\\\": \\\"Prüfen · Ignorieren · Details\\\",\\n   731|        })\\n   732|    return cards\\n   733|\\n   734|\\n   735|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n   736|    return rowdicts(conn.execute(\\n   737|        \\\"\\\"\\\"\\n   738|        SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n   739|               occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n   740|        FROM alerts\\n   741|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n   742|        \\\"\\\"\\\"\\n   743|    ).fetchall())\\n   744|\\n   745|\\n   746|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   747|    rows = conn.execute(\\n   748|        \\\"\\\"\\\"\\n   749|        SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n   750|               confirmed, created_by, quality_status\\n   751|        FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n   752|        \\\"\\\"\\\", (limit,)\\n   753|    ).fetchall()\\n   754|    out: list[dict[str, str]] = []\\n   755|    for row in rows:\\n   756|        item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n   757|        for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n   758|            if item[key]:\\n   759|                try:\\n   760|                    item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n   761|                except json.JSONDecodeError:\\n   762|                    pass\\n   763|        out.append(item)\\n   764|    return out\\n   765|\\n   766|\\n   767|def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\n   768|    items: list[dict[str, str]] = []\\n   769|    checks = [\\n   770|        (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n   771|        (\\\"fehlende/stale FX Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx','historical_fx_unavailable','manual_override_required')\\\", \\\"kritisch\\\"),\\n   772|        (\\\"historical FX unavailable\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='historical_fx_unavailable'\\\", \\\"kritisch\\\"),\\n   773|        (\\\"manual override required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_override_required'\\\", \\\"kritisch\\\"),\\n   774|        (\\\"fehlende Provider-Symbole\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n   775|        (\\\"provider lookup unavailable\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='provider_lookup_unavailable'\\\", \\\"warnung\\\"),\\n   776|        (\\\"ambiguous_provider_mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_provider_mapping'\\\", \\\"warnung\\\"),\\n   777|        (\\\"multiple_listings_same_isin\\\", \\\"SELECT COUNT(*) AS c FROM (SELECT isin FROM instrument_price_mapping_candidates WHERE COALESCE(isin,'')<>'' AND review_status IN ('proposed','needs_manual_review') GROUP BY isin HAVING COUNT(DISTINCT COALESCE(candidate_exchange,'') || ':' || COALESCE(candidate_currency,''))>1)\\\", \\\"warnung\\\"),\\n   778|        (\\\"currency_mismatch\\\", \\\"SELECT COUNT(*) AS c FROM instrument_price_mapping_candidates WHERE review_status IN ('proposed','needs_manual_review') AND risk_flags LIKE '%currency_mismatch%'\\\", \\\"warnung\\\"),\\n   779|        (\\\"hedge_status_unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='hedge_status_unknown'\\\", \\\"warnung\\\"),\\n   780|        (\\\"instrument_status_unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='instrument_status_unknown'\\\", \\\"warnung\\\"),\\n   781|        (\\\"provider_symbol_missing\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n   782|        (\\\"candidate_review_required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='candidate_review_required'\\\", \\\"warnung\\\"),\\n   783|        (\\\"valuation_not_ready\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_provider_symbol','missing_market_price','missing_fx','hedge_status_unknown','instrument_status_unknown','candidate_review_required')\\\", \\\"warnung\\\"),\\n   784|        (\\\"instrument status unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='instrument_status_unknown'\\\", \\\"warnung\\\"),\\n   785|        (\\\"manual FX override required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('manual_override_required','manual_fx_override_required')\\\", \\\"kritisch\\\"),\\n   786|        (\\\"fehlende Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'\\\", \\\"warnung\\\"),\\n   787|        (\\\"stale Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'\\\", \\\"warnung\\\"),\\n   788|        (\\\"ambiguous Instrument Mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'\\\", \\\"warnung\\\"),\\n   789|        (\\\"price currency mismatch\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'\\\", \\\"warnung\\\"),\\n   790|        (\\\"hedge status unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='hedge_status_unknown'\\\", \\\"warnung\\\"),\\n   791|        (\\\"stale valuation\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_valuation'\\\", \\\"warnung\\\"),\\n   792|        (\\\"corporate action suspected\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='corporate_action_suspected'\\\", \\\"warnung\\\"),\\n   793|        (\\\"split/corporate action review\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='split_or_corporate_action_review_required'\\\", \\\"warnung\\\"),\\n   794|        (\\\"delisted/suspended\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='delisted_or_suspended'\\\", \\\"warnung\\\"),\\n   795|        (\\\"snapshot_only Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'\\\", \\\"info\\\"),\\n   796|        (\\\"cost_basis_uncertain Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'\\\", \\\"warnung\\\"),\\n   797|        (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\n   798|        (\\\"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   799|        (\\\"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   800|        (\\\"Catalog Instrumente ohne ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE asset_class IN ('equity','stock','etf') AND (isin IS NULL OR isin='')\\\", \\\"warnung\\\"),\\n   801|        (\\\"Catalog Ticker ohne Exchange\\\", \\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE COALESCE(ticker,'')<>'' AND COALESCE(exchange,'')=''\\\", \\\"warnung\\\"),\\n   802|        (\\\"Catalog mehrere Listings gleicher ISIN\\\", \\\"SELECT COUNT(*) AS c FROM (SELECT isin FROM instrument_catalog_entries WHERE COALESCE(isin,'')<>'' GROUP BY isin HAVING COUNT(DISTINCT COALESCE(exchange,'') || ':' || COALESCE(trading_currency,''))>1)\\\", \\\"info\\\"),\\n   803|        (\\\"Manual Review needed\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_review_needed'\\\", \\\"warnung\\\"),\\n   804|        (\\\"Mapping-Kandidaten unbestätigt\\\", \\\"SELECT COUNT(*) AS c FROM instrument_price_mapping_candidates WHERE review_status IN ('proposed','needs_manual_review')\\\", \\\"warnung\\\"),\\n   805|        (\\\"Instrumente mit mehreren Mapping-Kandidaten\\\", \\\"SELECT COUNT(*) AS c FROM (SELECT instrument_id FROM instrument_price_mapping_candidates WHERE review_status IN ('proposed','needs_manual_review') GROUP BY instrument_id HAVING COUNT(*) > 1)\\\", \\\"warnung\\\"),\\n   806|        (\\\"Valuation not ready\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_provider_symbol','missing_market_price','missing_fx','hedge_status_unknown','instrument_status_unknown')\\\", \\\"warnung\\\"),\\n   807|        (\\\"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   808|        (\\\"snapshot_only Positionen\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'\\\", \\\"info\\\"),\\n   809|        (\\\"cost_basis_uncertain\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   810|        (\\\"aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active'\\\", \\\"warnung\\\"),\\n   811|        (\\\"resolved Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'\\\", \\\"ok\\\"),\\n   812|        (\\\"alte aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')\\\", \\\"info\\\"),\\n   813|    ]\\n   814|    for label, sql, severity in checks:\\n   815|        row = conn.execute(sql).fetchone()\\n   816|        count = int(row[\\\"c\\\"] or 0) if row else 0\\n   817|        sev = severity if count else \\\"ok\\\"\\n   818|        items.append({\\\"check\\\": label, \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   819|    for flag_row in get_review_quality_flag_counts(conn):\\n   820|        count = int(flag_row[\\\"open_items\\\"] or 0)\\n   821|        items.append({\\\"check\\\": f\\\"Review Flag: {flag_row['quality_flag']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   822|    for ready in get_review_readiness_counts(conn):\\n   823|        count = int(ready[\\\"count\\\"] or 0)\\n   824|        sev = \\\"ok\\\" if ready[\\\"readiness_status\\\"] in {\\\"ready_for_import\\\", \\\"ignored\\\"} else (\\\"warnung\\\" if count else \\\"ok\\\")\\n   825|        items.append({\\\"check\\\": f\\\"Review Readiness: {ready['readiness_status']}\\\", \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   826|    for source in get_ready_for_import_by_source(conn):\\n   827|        if int(source[\\\"total\\\"] or 0) and int(source[\\\"ready_for_import\\\"] or 0) == 0:\\n   828|            items.append({\\\"check\\\": f\\\"Quelle ohne ready_for_import: {source['source_platform']}\\\", \\\"count\\\": source[\\\"total\\\"], \\\"severity\\\": \\\"warnung\\\"})\\n   829|    missing_snapshot = conn.execute(\\\"SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'\\\").fetchone()\\n   830|    count = int(missing_snapshot[\\\"c\\\"] or 0) if missing_snapshot else 0\\n   831|    items.append({\\\"check\\\": \\\"Dry Runs ohne Snapshot Date\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   832|    return items\\n   833|\\n   834|\\n   835|def get_instrument_catalog_entries(conn: Connection, query: str | None = None, asset_class: str | None = None) -> list[dict[str, str]]:\\n   836|    if query:\\n   837|        from jarvis_finance.market_data.catalog import search_local_catalog\\n   838|        return [r.__dict__ for r in search_local_catalog(conn, query, asset_class)]\\n   839|    sql = \\\"\\\"\\\"\\n   840|        SELECT catalog_entry_id, asset_class, name, isin, ticker, exchange, trading_currency,\\n   841|               instrument_currency, provider, provider_symbol, provider_market, hedge_status,\\n   842|               instrument_status, valuation_policy, source, source_confidence, last_verified_at\\n   843|        FROM instrument_catalog_entries\\n   844|    \\\"\\\"\\\"\\n   845|    params: list[object] = []\\n   846|    if asset_class:\\n   847|        sql += \\\" WHERE asset_class=?\\\"\\n   848|        params.append(asset_class.lower())\\n   849|    sql += \\\" ORDER BY name, exchange, trading_currency LIMIT 100\\\"\\n   850|    return rowdicts(conn.execute(sql, tuple(params)).fetchall())\\n   851|\\n   852|\\n   853|def get_instrument_catalog_summary(conn: Connection) -> dict[str, str]:\\n   854|    total = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries\\\").fetchone()[\\\"c\\\"]\\n   855|    multi = conn.execute(\\\"SELECT COUNT(*) AS c FROM (SELECT isin FROM instrument_catalog_entries WHERE COALESCE(isin,'')<>'' GROUP BY isin HAVING COUNT(DISTINCT COALESCE(exchange,'') || ':' || COALESCE(trading_currency,''))>1)\\\").fetchone()[\\\"c\\\"]\\n   856|    no_provider = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE COALESCE(provider_symbol,'')='' \\\").fetchone()[\\\"c\\\"]\\n   857|    manual = conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('manual_review_needed','missing_provider_symbol','ambiguous_provider_mapping')\\\").fetchone()[\\\"c\\\"]\\n   858|    return {\\\"catalog_entries\\\": str(total or 0), \\\"multiple_listings\\\": str(multi or 0), \\\"without_provider_symbol\\\": str(no_provider or 0), \\\"manual_review_required\\\": str(manual or 0)}\\n   859|\\n   860|\\n   861|def get_instrument_mapping_review(conn: Connection) -> list[dict[str, str]]:\\n   862|    rows = conn.execute(\\n   863|        \\\"\\\"\\\"\\n   864|        SELECT i.instrument_id, i.isin, i.name, i.ticker, i.exchange, i.currency,\\n   865|               i.hedge_status, i.instrument_status, i.valuation_policy,\\n   866|               COALESCE(m.mapping_status, 'missing_provider_symbol') AS mapping_status,\\n   867|               COALESCE(m.provider, '') AS provider,\\n   868|               COALESCE(m.provider_symbol, '') AS provider_symbol,\\n   869|               COUNT(c.candidate_id) AS candidate_count\\n   870|        FROM instruments i\\n   871|        JOIN transactions t ON t.instrument_id=i.instrument_id\\n   872|        LEFT JOIN instrument_price_mappings m ON m.instrument_id=i.instrument_id AND m.mapping_status='mapped'\\n   873|        LEFT JOIN instrument_price_mapping_candidates c ON c.instrument_id=i.instrument_id AND c.review_status IN ('proposed','needs_manual_review')\\n   874|        WHERE t.transaction_type='initial_position_snapshot'\\n   875|          AND t.source_type='broker_import_reviewed_snapshot'\\n   876|          AND COALESCE(t.is_voided,0)=0\\n   877|        GROUP BY i.instrument_id\\n   878|        ORDER BY i.isin, i.name\\n   879|        \\\"\\\"\\\"\\n   880|    ).fetchall()\\n   881|    return rowdicts(rows)\\n   882|\\n   883|\\n   884|def get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\\n   885|    if instrument_id:\\n   886|        rows = conn.execute(\\n   887|            \\\"\\\"\\\"\\n   888|            SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n   889|                   candidate_exchange, candidate_currency, candidate_name, candidate_asset_class,\\n   890|                   candidate_is_hedged, candidate_hedged_to_currency, candidate_hedge_status,\\n   891|                   candidate_instrument_status, candidate_valuation_policy, confidence,\\n   892|                   ranking_score, ranking_reason, risk_flags, recommended_action,\\n   893|                   CASE\\n   894|                       WHEN recommended_action='select_candidate' OR ranking_score >= 75 THEN 'wahrscheinlich passend'\\n   895|                       WHEN recommended_action='reject_candidate' OR ranking_score < 40 THEN 'wahrscheinlich falsch'\\n   896|                       ELSE 'unsicher'\\n   897|                   END AS ranking_mark,\\n   898|                   candidate_currency AS closing_currency,\\n   899|                   evidence_source, evidence_note, review_status, created_at\\n   900|            FROM instrument_price_mapping_candidates WHERE instrument_id=?\\n   901|            ORDER BY ranking_score DESC, CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider\\n   902|            \\\"\\\"\\\",\\n   903|            (instrument_id,),\\n   904|        ).fetchall()\\n   905|    else:\\n   906|        rows = conn.execute(\\n   907|            \\\"\\\"\\\"\\n   908|            SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n   909|                   candidate_exchange, candidate_currency, candidate_name, candidate_asset_class,\\n   910|\", \"total_lines\": 1064, \"file_size\": 57329, \"truncated\": true, \"hint\": \"Use offset=910 to continue reading (showing 650-909 of 1064 lines)\", \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import argparse\\n     4|from decimal import Decimal\\n     5|from pathlib import Path\\n     6|\\n     7|from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n     8|from jarvis_finance.fx.providers import MockFxProvider\\n     9|from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\n    10|from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n    11|from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_decision_pack, export_mapping_review_template, generate_mapping_candidates, recalculate_candidate_rankings\\n    12|from jarvis_finance.market_data.catalog import prepare_catalog_from_instruments\\n    13|from jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices\\n    14|from jarvis_finance.quality.data_quality import check_crypto_data_quality\\n    15|from jarvis_finance.quality.git_safety import assert_safe, scan_path\\n    16|from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup\\n    17|from jarvis_finance.storage.database import connect\\n    18|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n    19|\\n    20|\\n    21|def main(argv: list[str] | None = None) -> int:\\n    22|    parser = argparse.ArgumentParser(prog=\\\"finance\\\")\\n    23|    sub = parser.add_subparsers(dest=\\\"command\\\", required=True)\\n    24|    sub.add_parser(\\\"init-db\\\")\\n    25|    sub.add_parser(\\\"migrate\\\")\\n    26|    scan = sub.add_parser(\\\"git-safety-scan\\\")\\n    27|    scan.add_argument(\\\"path\\\", nargs=\\\"?\\\", default=\\\".\\\")\\n    28|    prices = sub.add_parser(\\\"update-crypto-prices\\\")\\n    29|    prices.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n    30|    prices.add_argument(\\\"--max-age-seconds\\\", type=int, default=3600)\\n    31|    prices.add_argument(\\\"--sleep-seconds\\\", type=float, default=0.0)\\n    32|    prices.add_argument(\\\"--max-retries\\\", type=int, default=2)\\n    33|    prices.add_argument(\\\"--initial-backoff\\\", type=float, default=1.0)\\n    34|    prices.add_argument(\\\"--max-backoff\\\", type=float, default=8.0)\\n    35|    prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    36|    prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    37|    prices.add_argument(\\\"--only-symbol\\\")\\n    38|    prices.add_argument(\\\"--limit\\\", type=int)\\n    39|    prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    40|    dq = sub.add_parser(\\\"check-data-quality\\\")\\n    41|    dq.add_argument(\\\"--scope\\\", choices=[\\\"crypto\\\"], default=\\\"crypto\\\")\\n    42|    dq.add_argument(\\\"--resolve-fixed\\\", action=\\\"store_true\\\")\\n    43|    dq.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    44|    dq.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n    45|    dq.add_argument(\\\"--max-age-seconds\\\", type=int, default=86_400)\\n    46|    fx = sub.add_parser(\\\"update-fx-rates\\\")\\n    47|    fx.add_argument(\\\"--date\\\", dest=\\\"rate_date\\\")\\n    48|    fx.add_argument(\\\"--latest\\\", action=\\\"store_true\\\")\\n    49|    fx.add_argument(\\\"--missing-only\\\", action=\\\"store_true\\\")\\n    50|    fx.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    51|    fx.add_argument(\\\"--currency\\\", action=\\\"append\\\", dest=\\\"currencies\\\")\\n    52|    fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\\n    53|    fx.add_argument(\\\"--recheck-transactions\\\", action=\\\"store_true\\\")\\n    54|    fx.add_argument(\\\"--source-type\\\")\\n    55|    market_prices = sub.add_parser(\\\"update-market-prices\\\")\\n    56|    market_prices.add_argument(\\\"--asset-class\\\", choices=[\\\"etf\\\", \\\"equity\\\"], required=True)\\n    57|    market_prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    58|    market_prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    59|    market_prices.add_argument(\\\"--only-isin\\\")\\n    60|    market_prices.add_argument(\\\"--limit\\\", type=int)\\n    61|    market_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    62|    market_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n    63|    market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n    64|    catalog = sub.add_parser(\\\"prepare-instrument-catalog\\\")\\n    65|    catalog.add_argument(\\\"--source\\\", default=\\\"true_wealth\\\")\\n    66|    catalog.add_argument(\\\"--limit\\\", type=int)\\n    67|    candidates = sub.add_parser(\\\"generate-mapping-candidates\\\")\\n    68|    candidates.add_argument(\\\"--source\\\", default=\\\"true_wealth\\\")\\n    69|    candidates.add_argument(\\\"--limit\\\", type=int)\\n    70|    candidates.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    71|    candidates.add_argument(\\\"--public-lookup\\\", action=\\\"store_true\\\")\\n    72|    candidates.add_argument(\\\"--export-template\\\", action=\\\"store_true\\\")\\n    73|    candidates.add_argument(\\\"--template-path\\\")\\n    74|    candidates.add_argument(\\\"--dedupe-missing-provider-alerts\\\", action=\\\"store_true\\\")\\n    75|    rank_candidates = sub.add_parser(\\\"rank-mapping-candidates\\\")\\n    76|    rank_candidates.add_argument(\\\"--export-decision-pack\\\", action=\\\"store_true\\\")\\n    77|    rank_candidates.add_argument(\\\"--decision-pack-path\\\")\\n    78|    rank_candidates.add_argument(\\\"--top-n\\\", type=int, default=5)\\n    79|    sub.add_parser(\\\"backup-runtime-db\\\")\\n    80|    restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n    81|    restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n    82|    restore.add_argument(\\\"--yes\\\", action=\\\"store_true\\\")\\n    83|    verify = sub.add_parser(\\\"verify-backup\\\")\\n    84|    verify.add_argument(\\\"--file\\\", required=True)\\n    85|    args = parser.parse_args(argv)\\n    86|\\n    87|    if args.command in {\\\"init-db\\\", \\\"migrate\\\"}:\\n    88|        settings = load_settings()\\n    89|        ensure_runtime_dirs(settings)\\n    90|        conn = connect(settings.db_path)\\n    91|        apply_migrations(conn)\\n    92|        print(f\\\"SCHEMA_VERSION={get_schema_version(conn)}\\\")\\n    93|        return 0\\n    94|    if args.command == \\\"git-safety-scan\\\":\\n    95|        findings = scan_path(Path(args.path))\\n    96|        if findings:\\n    97|            for finding in findings:\\n    98|                print(f\\\"{finding.path}: {finding.reason}\\\")\\n    99|            return 1\\n   100|        assert_safe(Path(args.path))\\n   101|        print(\\\"GIT_SAFETY_OK\\\")\\n   102|        return 0\\n   103|    if args.command == \\\"update-crypto-prices\\\":\\n   104|        settings = load_settings()\\n   105|        ensure_runtime_dirs(settings)\\n   106|        conn = connect(settings.db_path)\\n   107|        try:\\n   108|            apply_migrations(conn)\\n   109|            result = refresh_crypto_prices(\\n   110|                conn,\\n   111|                provider=CoinGeckoClient(\\n   112|                    max_retries=args.max_retries,\\n   113|                    initial_backoff_seconds=args.initial_backoff,\\n   114|                    max_backoff_seconds=args.max_backoff,\\n   115|                ),\\n   116|                currency=args.currency,\\n   117|                max_age_seconds=args.max_age_seconds,\\n   118|                only_missing=args.only_missing,\\n   119|                only_stale=args.only_stale,\\n   120|                only_symbol=args.only_symbol,\\n   121|                limit=args.limit,\\n   122|                dry_run=args.dry_run,\\n   123|                sleep_seconds=args.sleep_seconds,\\n   124|            )\\n   125|            print(\\n   126|                \\\"CRYPTO_PRICE_UPDATE \\\"\\n   127|                f\\\"currency={result.currency} total_assets={result.total_assets} \\\"\\n   128|                f\\\"updated={result.updated_count} cached={result.cached_count} \\\"\\n   129|                f\\\"skipped={result.skipped_count} stale={result.stale_count} \\\"\\n   130|                f\\\"warnings={result.warning_count} errors={result.error_count} \\\"\\n   131|                f\\\"assets_still_missing_local_price={result.missing_local_price_count} \\\"\\n   132|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   133|            )\\n   134|            return 1 if result.error_count else 0\\n   135|        finally:\\n   136|            conn.close()\\n   137|    if args.command == \\\"update-fx-rates\\\":\\n   138|        settings = load_settings()\\n   139|        ensure_runtime_dirs(settings)\\n   140|        conn = connect(settings.db_path)\\n   141|        try:\\n   142|            apply_migrations(conn)\\n   143|            if args.recheck_transactions:\\n   144|                result = recheck_transaction_fx_status(conn, source_type=args.source_type, dry_run=args.dry_run)\\n   145|                print(\\n   146|                    \\\"FX_RECHECK \\\"\\n   147|                    f\\\"transactions={result.transaction_count} chf_positions={result.chf_positions} \\\"\\n   148|                    f\\\"foreign_currency_positions={result.foreign_currency_positions} \\\"\\n   149|                    f\\\"justified_missing_fx_alerts={result.justified_missing_fx_alerts} \\\"\\n   150|                    f\\\"false_positive_missing_fx_alerts={result.false_positive_missing_fx_alerts} \\\"\\n   151|                    f\\\"corrected_transactions={result.corrected_transactions} resolved_alerts={result.resolved_alerts} \\\"\\n   152|                    f\\\"audit_events={result.audit_events} dry_run={str(result.dry_run).lower()}\\\"\\n   153|                )\\n   154|                return 0\\n   155|            if not args.rate_date and not args.latest:\\n   156|                parser.error(\\\"update-fx-rates requires --date or --latest unless --recheck-transactions is used\\\")\\n   157|            mock_rates: dict[tuple[str, str, str], Decimal | None] = {}\\n   158|            for item in args.mock_rate:\\n   159|                base, rate = item.split(\\\"=\\\", 1)\\n   160|                mock_rates[(base.upper(), \\\"CHF\\\", args.rate_date or \\\"latest\\\")] = Decimal(rate)\\n   161|            currencies = args.currencies or sorted({r[\\\"currency_original\\\"] for r in conn.execute(\\\"SELECT DISTINCT currency_original FROM transactions WHERE currency_original IS NOT NULL\\\").fetchall()})\\n   162|            provider = MockFxProvider(mock_rates)\\n   163|            result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or \\\"latest\\\", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)\\n   164|            print(\\n   165|                \\\"FX_RATE_UPDATE \\\"\\n   166|                f\\\"updated={result.updated_count} cached={result.cached_count} skipped={result.skipped_count} \\\"\\n   167|                f\\\"warnings={result.warning_count} errors={result.error_count} resolved_alerts={result.resolved_alerts} \\\"\\n   168|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   169|            )\\n   170|            return 1 if result.error_count else 0\\n   171|        finally:\\n   172|            conn.close()\\n   173|    if args.command == \\\"update-market-prices\\\":\\n   174|        settings = load_settings()\\n   175|        ensure_runtime_dirs(settings)\\n   176|        conn = connect(settings.db_path)\\n   177|        try:\\n   178|            apply_migrations(conn)\\n   179|            prices = {}\\n   180|            for item in args.mock_price:\\n   181|                symbol, price = item.split(\\\"=\\\", 1)\\n   182|                prices[symbol] = Decimal(price)\\n   183|            result = refresh_market_prices(\\n   184|                conn,\\n   185|                provider=MockEquityPriceProvider(prices),\\n   186|                asset_class=args.asset_class,\\n   187|                price_date=args.price_date,\\n   188|                only_missing=args.only_missing,\\n   189|                only_stale=args.only_stale,\\n   190|                only_isin=args.only_isin,\\n   191|                limit=args.limit,\\n   192|                dry_run=args.dry_run,\\n   193|            )\\n   194|            print(\\n   195|                \\\"MARKET_PRICE_UPDATE \\\"\\n   196|                f\\\"asset_class={result.asset_class} total_mappings={result.total_mappings} updated={result.updated_count} \\\"\\n   197|                f\\\"cached={result.cached_count} skipped={result.skipped_count} stale={result.stale_count} \\\"\\n   198|                f\\\"warnings={result.warning_count} errors={result.error_count} dry_run={str(result.dry_run).lower()}\\\"\\n   199|            )\\n   200|            return 1 if result.error_count else 0\\n   201|        finally:\\n   202|            conn.close()\\n   203|    if args.command == \\\"prepare-instrument-catalog\\\":\\n   204|        settings = load_settings()\\n   205|        ensure_runtime_dirs(settings)\\n   206|        conn = connect(settings.db_path)\\n   207|        try:\\n   208|            apply_migrations(conn)\\n   209|            rows = conn.execute(\\n   210|                \\\"\\\"\\\"\\n   211|                SELECT DISTINCT t.instrument_id\\n   212|                FROM transactions t JOIN instruments i ON i.instrument_id=t.instrument_id\\n   213|                WHERE t.transaction_type='initial_position_snapshot'\\n   214|                  AND t.source_type='broker_import_reviewed_snapshot'\\n   215|                  AND COALESCE(t.is_voided,0)=0\\n   216|                  AND t.instrument_id IS NOT NULL\\n   217|                ORDER BY i.isin, i.name\\n   218|                \\\"\\\"\\\"\\n   219|            ).fetchall()\\n   220|            ids = [r[\\\"instrument_id\\\"] for r in rows]\\n   221|\", \"total_lines\": 359, \"file_size\": 18729, \"truncated\": true, \"hint\": \"Use offset=221 to continue reading (showing 1-220 of 359 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_AOALOAZUGfh4k9CoAcay6Kpi"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_HRdm272Rdd60AdHqaICY7vAg",
          "call_id": "call_HRdm272Rdd60AdHqaICY7vAg",
          "response_item_id": "fc_0d7144a8ff76dd71016a077724da5c8191ad7528b901a5e5b5",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\":180,\"offset\":221,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"   221|            if args.limit is not None:\\n   222|                ids = ids[:args.limit]\\n   223|            summary = prepare_catalog_from_instruments(conn, instrument_ids=ids, source=args.source)\\n   224|            print(\\n   225|                \\\"INSTRUMENT_CATALOG_PREP \\\"\\n   226|                f\\\"instruments_total={summary['instruments_total']} catalog_entries_created={summary['catalog_entries_created']} \\\"\\n   227|                f\\\"multiple_listings={summary['multiple_listings']} manual_review_required={summary['manual_review_required']} \\\"\\n   228|                f\\\"hedge_unknown={summary['hedge_unknown']} instrument_status_unknown={summary['instrument_status_unknown']} \\\"\\n   229|                f\\\"valuation_ready={summary['valuation_ready']}\\\"\\n   230|            )\\n   231|            return 0\\n   232|        finally:\\n   233|            conn.close()\\n   234|    if args.command == \\\"generate-mapping-candidates\\\":\\n   235|        settings = load_settings()\\n   236|        ensure_runtime_dirs(settings)\\n   237|        conn = connect(settings.db_path)\\n   238|        try:\\n   239|            apply_migrations(conn)\\n   240|            if args.dedupe_missing_provider_alerts:\\n   241|                resolved = dedupe_missing_provider_symbol_alerts(conn)\\n   242|            else:\\n   243|                resolved = 0\\n   244|            provider = CompositePublicLookupProvider() if args.public_lookup else EmptyLookupProvider()\\n   245|            result = generate_mapping_candidates(conn, provider=provider, source=args.source, limit=args.limit, dry_run=args.dry_run)\\n   246|            template = None\\n   247|            if args.export_template:\\n   248|                template_path = args.template_path or str(settings.runtime_paths.exports_dir / \\\"true_wealth_mapping_review_template.csv\\\")\\n   249|                template = export_mapping_review_template(conn, output_path=template_path)\\n   250|            print(\\n   251|                \\\"MAPPING_CANDIDATES \\\"\\n   252|                f\\\"instruments_total={result.instruments_total} candidates_found={result.candidates_found} \\\"\\n   253|                f\\\"high={result.high_confidence} medium={result.medium_confidence} low={result.low_confidence} \\\"\\n   254|                f\\\"instruments_without_candidate={result.instruments_without_candidate} \\\"\\n   255|                f\\\"hedge_unknown={result.instruments_with_hedge_unknown} instrument_status_unknown={result.instruments_with_status_unknown} \\\"\\n   256|                f\\\"provider_lookup_unavailable={result.provider_lookup_unavailable} ambiguous={result.ambiguous_provider_mapping} \\\"\\n   257|                f\\\"deduped_missing_provider_alerts={resolved} \\\"\\n   258|                f\\\"template_updated={str(bool(template)).lower()} template_instruments={template['instrument_count'] if template else 0} template_candidates={template['candidate_rows'] if template else 0} \\\"\\n   259|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   260|            )\\n   261|            return 0\\n   262|        finally:\\n   263|            conn.close()\\n   264|    if args.command == \\\"rank-mapping-candidates\\\":\\n   265|        settings = load_settings()\\n   266|        ensure_runtime_dirs(settings)\\n   267|        conn = connect(settings.db_path)\\n   268|        try:\\n   269|            apply_migrations(conn)\\n   270|            summary = recalculate_candidate_rankings(conn)\\n   271|            decision = None\\n   272|            if args.export_decision_pack:\\n   273|                decision_path = args.decision_pack_path or str(settings.runtime_paths.exports_dir / \\\"mapping_candidate_decision_pack.md\\\")\\n   274|                decision = export_mapping_decision_pack(conn, output_path=decision_path, top_n=args.top_n)\\n   275|            print(\\n   276|                \\\"MAPPING_CANDIDATE_RANKING \\\"\\n   277|                f\\\"candidates_total={summary['candidates_total']} rank_high={summary['rank_high']} \\\"\\n   278|                f\\\"rank_medium={summary['rank_medium']} rank_low={summary['rank_low']} \\\"\\n   279|                f\\\"multiple_listings_same_isin={summary['multiple_listings_same_isin']} \\\"\\n   280|                f\\\"currency_mismatch={summary['currency_mismatch']} hedge_status_unknown={summary['hedge_status_unknown']} \\\"\\n   281|                f\\\"instrument_status_unknown={summary['instrument_status_unknown']} \\\"\\n   282|                f\\\"candidate_review_required={summary['candidate_review_required']} \\\"\\n   283|                f\\\"decision_pack_created={str(bool(decision)).lower()} \\\"\\n   284|                f\\\"decision_pack_instruments={decision['instrument_count'] if decision else 0} \\\"\\n   285|                f\\\"decision_pack_candidates={decision['candidate_rows'] if decision else 0} \\\"\\n   286|                f\\\"top_candidates_present={str(bool(decision and decision['top_candidates_present'])).lower()}\\\"\\n   287|            )\\n   288|            return 0\\n   289|        finally:\\n   290|            conn.close()\\n   291|    if args.command == \\\"check-data-quality\\\":\\n   292|        settings = load_settings()\\n   293|        ensure_runtime_dirs(settings)\\n   294|        conn = connect(settings.db_path)\\n   295|        try:\\n   296|            apply_migrations(conn)\\n   297|            result = check_crypto_data_quality(\\n   298|                conn,\\n   299|                currency=args.currency,\\n   300|                max_age_seconds=args.max_age_seconds,\\n   301|                resolve_fixed=args.resolve_fixed,\\n   302|                dry_run=args.dry_run,\\n   303|            )\\n   304|            print(\\n   305|                \\\"DATA_QUALITY_CHECK \\\"\\n   306|                f\\\"scope={result.scope} active_crypto_assets={result.active_crypto_assets} \\\"\\n   307|                f\\\"fresh_price_assets={result.fresh_price_assets} \\\"\\n   308|                f\\\"active_stale_price_alerts_before={result.active_stale_price_alerts_before} \\\"\\n   309|                f\\\"active_stale_price_alerts_after={result.active_stale_price_alerts_after} \\\"\\n   310|                f\\\"resolved_alerts={result.resolved_alerts} \\\"\\n   311|                f\\\"warnings={result.warnings} errors={result.errors} \\\"\\n   312|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   313|            )\\n   314|            return 1 if result.errors else 0\\n   315|        finally:\\n   316|            conn.close()\\n   317|    if args.command == \\\"backup-runtime-db\\\":\\n   318|        settings = load_settings()\\n   319|        ensure_runtime_dirs(settings)\\n   320|        result = backup_runtime_db(\\n   321|            db_path=settings.db_path,\\n   322|            backups_dir=settings.runtime_paths.backups_dir,\\n   323|            repo_root=Path.cwd(),\\n   324|        )\\n   325|        print(\\n   326|            \\\"RUNTIME_DB_BACKUP \\\"\\n   327|            f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n   328|            f\\\"sha256={result.sha256} size_bytes={result.size_bytes}\\\"\\n   329|        )\\n   330|        return 0\\n   331|    if args.command == \\\"verify-backup\\\":\\n   332|        result = verify_backup(backup_file=Path(args.file), repo_root=Path.cwd())\\n   333|        print(\\n   334|            \\\"BACKUP_VERIFY \\\"\\n   335|            f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n   336|            f\\\"exists={str(result.exists).lower()} checksum_ok={str(result.checksum_ok).lower()} \\\"\\n   337|            f\\\"sha256={result.sha256}\\\"\\n   338|        )\\n   339|        return 0 if result.exists and result.checksum_ok else 1\\n   340|    if args.command == \\\"restore-runtime-db\\\":\\n   341|        settings = load_settings()\\n   342|        ensure_runtime_dirs(settings)\\n   343|        result = restore_runtime_db(\\n   344|            backup_file=Path(args.backup_file),\\n   345|            db_path=settings.db_path,\\n   346|            repo_root=Path.cwd(),\\n   347|            yes=args.yes,\\n   348|        )\\n   349|        print(\\n   350|            \\\"RUNTIME_DB_RESTORE \\\"\\n   351|            f\\\"source_file={result.source_file} restored_to={result.restored_to} \\\"\\n   352|            f\\\"verified={str(result.verified).lower()}\\\"\\n   353|        )\\n   354|        return 0\\n   355|    return 2\\n   356|\\n   357|\\n   358|if __name__ == \\\"__main__\\\":\\n   359|    raise SystemExit(main())\\n   360|\", \"total_lines\": 359, \"file_size\": 18729, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_HRdm272Rdd60AdHqaICY7vAg"
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    {
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      "content": "",
      "reasoning": null,
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      "codex_reasoning_items": [
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          "id": "rs_07b151563657d265016a077728b1588191ab261604073e20e5",
          "summary": []
        }
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      "tool_calls": [
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          "function": {
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            "arguments": "{\"file_glob\":\"test_*.py\",\"limit\":80,\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests\",\"pattern\":\"equity|catalog|broker_import|mapping|qwen|snapshot\",\"target\":\"content\"}"
          }
        }
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    },
    {
      "role": "tool",
      "name": "search_files",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_Siq1XuwTfzeVGZ7T3sEynzau"
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      "role": "assistant",
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      "tool_calls": [
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          "type": "function",
          "function": {
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            "arguments": "{\"limit\":60,\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests\",\"pattern\":\"*.py\",\"target\":\"files\"}"
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    {
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import pytest\\n     4|\\n     5|from jarvis_finance.dashboard.pages import page_13_equity_manage\\n     6|from jarvis_finance.equity.manage import add_manual_position_from_catalog, create_manual_catalog_entry\\n     7|from jarvis_finance.market_data.catalog import (\\n     8|    CatalogEntryInput,\\n     9|    UnavailableCatalogLookupProvider,\\n    10|    search_instruments,\\n    11|    search_local_catalog,\\n    12|    upsert_catalog_entry,\\n    13|)\\n    14|from jarvis_finance.storage.database import connect_memory\\n    15|from jarvis_finance.storage.migrations import apply_migrations\\n    16|\\n    17|\\n    18|class FakeTab:\\n    19|    def __enter__(self): return self\\n    20|    def __exit__(self, *args): return False\\n    21|\\n    22|\\n    23|class FakeSt:\\n    24|    def title(self, *args, **kwargs): pass\\n    25|    def caption(self, *args, **kwargs): pass\\n    26|    def warning(self, *args, **kwargs): pass\\n    27|    def subheader(self, *args, **kwargs): pass\\n    28|    def write(self, *args, **kwargs): pass\\n    29|    def success(self, *args, **kwargs): pass\\n    30|    def error(self, *args, **kwargs): pass\\n    31|    def info(self, *args, **kwargs): pass\\n    32|    def divider(self, *args, **kwargs): pass\\n    33|    def dataframe(self, *args, **kwargs): pass\\n    34|    def table(self, *args, **kwargs): pass\\n    35|    def tabs(self, labels): return [FakeTab() for _ in labels]\\n    36|    def selectbox(self, label, options, **kwargs): return options[0] if options else None\\n    37|    def text_input(self, *args, **kwargs): return kwargs.get(\\\"value\\\", \\\"\\\")\\n    38|    def text_area(self, *args, **kwargs): return \\\"\\\"\\n    39|    def date_input(self, *args, **kwargs): return \\\"2025-12-31\\\"\\n    40|    def checkbox(self, *args, **kwargs): return False\\n    41|    def expander(self, *args, **kwargs): return FakeTab()\\n    42|    def button(self, *args, **kwargs): return False\\n    43|\\n    44|\\n    45|def setup_conn():\\n    46|    conn = connect_memory()\\n    47|    apply_migrations(conn)\\n    48|    conn.execute(\\\"INSERT INTO platforms(platform_id,name,platform_type,default_currency,created_at) VALUES('p1','Manual Broker','broker','CHF','now')\\\")\\n    49|    conn.execute(\\\"INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Depot','brokerage','CHF','now')\\\")\\n    50|    return conn\\n    51|\\n    52|\\n    53|def add_catalog_entries(conn):\\n    54|    first = upsert_catalog_entry(conn, CatalogEntryInput(asset_class='etf', name='Sample ETF CHF', isin='CH0000000001', ticker='SAMP', exchange='SWX', trading_currency='CHF', instrument_currency='CHF', provider='manual', provider_symbol='SAMP.SW', hedge_status='unknown', instrument_status='unknown', source_confidence='high'), note='test catalog entry')\\n    55|    second = upsert_catalog_entry(conn, CatalogEntryInput(asset_class='etf', name='Sample ETF EUR', isin='CH0000000001', ticker='SAMP', exchange='XETRA', trading_currency='EUR', instrument_currency='EUR', provider='manual', provider_symbol='SAMP.DE', hedge_status='unhedged', instrument_status='active', source_confidence='high'), note='test catalog entry')\\n    56|    return first, second\\n    57|\\n    58|\\n    59|def test_local_instrument_search_by_isin() -> None:\\n    60|    conn = setup_conn(); add_catalog_entries(conn)\\n    61|    rows = search_local_catalog(conn, 'CH0000000001', 'etf')\\n    62|    assert len(rows) == 2\\n    63|    assert {r.exchange for r in rows} == {'SWX', 'XETRA'}\\n    64|\\n    65|\\n    66|def test_local_instrument_search_by_symbol() -> None:\\n    67|    conn = setup_conn(); add_catalog_entries(conn)\\n    68|    rows = search_local_catalog(conn, 'SAMP')\\n    69|    assert len(rows) == 2\\n    70|\\n    71|\\n    72|def test_multiple_listings_same_isin_are_kept() -> None:\\n    73|    conn = setup_conn(); add_catalog_entries(conn)\\n    74|    count = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE isin='CH0000000001'\\\").fetchone()['c']\\n    75|    assert count == 2\\n    76|\\n    77|\\n    78|def test_symbol_without_exchange_is_not_unique_auto_mapping() -> None:\\n    79|    conn = setup_conn()\\n    80|    upsert_catalog_entry(conn, CatalogEntryInput(asset_class='etf', name='No Exchange ETF', isin='CH1', ticker='AMB', trading_currency='CHF', instrument_currency='CHF'), note='test')\\n    81|    row = search_local_catalog(conn, 'AMB')[0]\\n    82|    assert row.exchange is None\\n    83|    assert row.confidence == 'low'\\n    84|\\n    85|\\n    86|def test_manual_candidate_selection_writes_audit() -> None:\\n    87|    conn = setup_conn(); cid, _ = add_catalog_entries(conn)\\n    88|    result = add_manual_position_from_catalog(conn, catalog_entry_id=cid, account_id='a1', position_type='initial_snapshot', quantity_text='1.23', trade_date='2025-12-31', currency='CHF', cost_basis_original_text='100', fx_status='not_needed', note='manual selected candidate', confirm=True)\\n    89|    assert result.transaction_id\\n    90|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='manual_position_add'\\\").fetchone()['c'] == 1\\n    91|\\n    92|\\n    93|def test_missing_provider_symbol_creates_data_quality_hint() -> None:\\n    94|    conn = setup_conn()\\n    95|    cid = create_manual_catalog_entry(conn, asset_class='etf', name='No Provider ETF', isin='CH2', ticker='NOP', exchange='SWX', currency='CHF', provider_symbol='', note='manual catalog')\\n    96|    add_manual_position_from_catalog(conn, catalog_entry_id=cid, account_id='a1', position_type='initial_snapshot', quantity_text='1', trade_date='2025-12-31', currency='CHF', cost_basis_original_text='10', fx_status='not_needed', note='manual add', confirm=True)\\n    97|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'\\\").fetchone()['c'] == 1\\n    98|\\n    99|\\n   100|def test_hedge_status_unknown_creates_warning() -> None:\\n   101|    conn = setup_conn(); cid, _ = add_catalog_entries(conn)\\n   102|    add_manual_position_from_catalog(conn, catalog_entry_id=cid, account_id='a1', position_type='initial_snapshot', quantity_text='1', trade_date='2025-12-31', currency='CHF', cost_basis_original_text='10', fx_status='not_needed', note='manual add', confirm=True)\\n   103|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='hedge_status_unknown' AND status='active'\\\").fetchone()['c'] == 1\\n   104|\\n   105|\\n   106|def test_manual_position_initial_snapshot_creates_ledger_transaction() -> None:\\n   107|    conn = setup_conn(); cid, _ = add_catalog_entries(conn)\\n   108|    add_manual_position_from_catalog(conn, catalog_entry_id=cid, account_id='a1', position_type='initial_snapshot', quantity_text='1.2345', trade_date='2025-12-31', currency='CHF', cost_basis_original_text='10', fx_status='not_needed', note='manual add', confirm=True)\\n   109|    row = conn.execute(\\\"SELECT quantity, transaction_type FROM transactions\\\").fetchone()\\n   110|    assert row['quantity'] == '1.2345'\\n   111|    assert row['transaction_type'] == 'initial_position_snapshot'\\n   112|\\n   113|\\n   114|def test_cost_basis_missing_alert() -> None:\\n   115|    conn = setup_conn(); cid, _ = add_catalog_entries(conn)\\n   116|    result = add_manual_position_from_catalog(conn, catalog_entry_id=cid, account_id='a1', position_type='initial_snapshot', quantity_text='1', trade_date='2025-12-31', currency='CHF', cost_basis_original_text=None, fx_status='not_needed', note='manual add missing cost', confirm=True)\\n   117|    assert 'cost_basis_uncertain' in result.warnings\\n   118|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='cost_basis_uncertain' AND status='active'\\\").fetchone()['c'] == 1\\n   119|\\n   120|\\n   121|def test_fx_missing_alert() -> None:\\n   122|    conn = setup_conn(); _, cid = add_catalog_entries(conn)\\n   123|    result = add_manual_position_from_catalog(conn, catalog_entry_id=cid, account_id='a1', position_type='initial_snapshot', quantity_text='1', trade_date='2025-12-31', currency='EUR', cost_basis_original_text='10', fx_status='missing', note='manual add missing fx', confirm=True)\\n   124|    assert 'missing_fx' in result.warnings\\n   125|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_fx' AND status='active'\\\").fetchone()['c'] == 1\\n   126|\\n   127|\\n   128|def test_dashboard_renders_without_live_api() -> None:\\n   129|    conn = setup_conn(); add_catalog_entries(conn)\\n   130|    page_13_equity_manage.render(FakeSt(), conn)\\n   131|\\n   132|\\n   133|def test_provider_lookup_failure_does_not_crash() -> None:\\n   134|    conn = setup_conn()\\n   135|    results, warnings = search_instruments(conn, 'ABC', providers=[UnavailableCatalogLookupProvider()])\\n   136|    assert results == []\\n   137|    assert 'provider_lookup_unavailable' in warnings\\n   138|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='provider_lookup_unavailable'\\\").fetchone()['c'] == 1\\n   139|\", \"total_lines\": 138, \"file_size\": 7955, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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          "encrypted_content": "gAAAAABqB3dF6i96wXFos0khlW4VmQMMEm89y1ZFfTWB3l4y1ylxAHYPQ9WkYTwnoREac28L58v1COR5OIOrkYf46k_NuvG4adE9datUCy-018aUH3VkeTfJ9mSp9nRdLSYgaSMpGWR32bk8zpCG7TUIFIZ2aIZ2WZgSdXaiIDZbThAUu0OAlV6wFNzxYfQnCbNBnNgn_N9HvwF_EM5h-aKS_3KLJq_r9BfW7qFqqsNevBw7ouBNZAZ5QYC0hzBGmBLtp_9ZcKRzsm0SX7vfWy2UesxS05eo-EzHgnKE1lEf4575NgW6ET00-q0dU7jXGSuJbfMHdUR6eKvqNuyEPABAc9gedVYOQ8cMO85QN4mCIEjcDJRTgwAeRS9d6bSd2w4JkeL9Y_zfTZ5HxBC78YZHSVCZaFQgktsY2CpDM2X7hf7ygPBixYiH0Olf_PsEJESlAp3Y8m2P2WFyyeXIaY4lw5cP4FvyBjvnHZaP-qH7CB3Ts5NUGzgJQl_8S1pPobR1vJ_DEcNxjEzzAt21gd7DYJBlzkwACuSvo9NSjsQ6kEAt7Aa8xZZlCwcANMcZlAlTwbkPoH_eEu2xNTEMc4mMFqLsgk2EwvPJsG9mc6lsUajYrzBQD3zS5wdfnqz-N2zk7CJSLpT1N9qPOb_U6o24x7Qs2FChbXPxYpSs9pqoAQp0FkMWUY395SlfaL0t3Y97QtgyRG-MdCMFQP6LoiwHS_gnODjuxEBbc6f1wBa9lDSbQOtHlaLxzXP8LSFVBIFbAsDbcFC79I5T9KIf58OvkYcEHAU9Xmiu8QFZi-QJHLXpm4Uli72c4wU6URB6WPneDp2dfKHVFLcxQRN4t8h2XTvmFCjUk6-1X1kUhzLfFsDtVksnDSC8eAs88bY4mfc-_0vW3sds-b-9IGz-5Qq7G5CjhcOYsWIrhWHYB14qT6xhFB19IM9Mvct29wgtI647TC3Ot2SM4sxYO5CWZuRWI3UHclyLkbHRFwhnpx5DqXBXmwg9mDRNcme70F6UFqz21EprwRjGftIx6cTVRBpOhTVc1N8Mf9I63Rqnrwurq-EzW0wP4UcdA4PcNu2sQfwQ6-Ke31uhJkqTKRvN6kcTMbauNfuUwgJVNAGs0XQJihsVp0y_DeVsb1CTMX_0GGNppUFu32xg5m1m0yoCSW7HmGRvgqjI8vtTnq9fghvx9HXp7byyhfnYWydrhufuSSZut-QkANXD",
          "id": "rs_02555addbe0deb93016a07774350d08191a499b5b7f713ed32",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Planning CLI implementation**\n\nI’m focusing on implementing the CLI to analyze instrument candidates with file arguments and possibly using --qwen. It seems I might need to report if the qwen endpoint failed—but skipping raw quantities in the output is a priority. I should ensure we only produce a summary. So, I'll get to work on writing a new module for this purpose. Also, a table migration is necessary to support the implementation smoothly."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_JqSRan7mBfK5u1laG5btPa7A",
          "call_id": "call_JqSRan7mBfK5u1laG5btPa7A",
          "response_item_id": "fc_02555addbe0deb93016a077745d720819188d914dd29e2cb03",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\",\"content\":\"from __future__ import annotations\\n\\nimport hashlib\\nimport json\\nimport os\\nimport re\\nimport zipfile\\nfrom dataclasses import dataclass, field\\nfrom decimal import Decimal, InvalidOperation\\nfrom pathlib import Path\\nfrom sqlite3 import Connection\\nfrom urllib import request, error\\nimport xml.etree.ElementTree as ET\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.equity.manage import add_manual_position_from_catalog\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.market_data.catalog import CatalogEntryInput, upsert_catalog_entry\\nfrom jarvis_finance.quality.alerts import create_alert\\n\\nVALID_MAPPING_STATUS = {\\\"exact_isin_match\\\", \\\"probable\\\", \\\"needs_manual_review\\\", \\\"rejected\\\", \\\"confirmed\\\"}\\nVALID_EXTRACTORS = {\\\"deterministic_parser\\\", \\\"qwen_local\\\", \\\"manual\\\"}\\nISIN_RE = re.compile(r\\\"\\\\b[A-Z]{2}[A-Z0-9]{9}[0-9]\\\\b\\\")\\nCURRENCY_RE = re.compile(r\\\"\\\\b(CHF|USD|EUR|GBP|JPY|CAD|AUD)\\\\b\\\", re.I)\\nTICKER_RE = re.compile(r\\\"\\\\b[A-Z0-9]{1,6}(?:[.:-][A-Z0-9]{1,4})?\\\\b\\\")\\nDECIMAL_RE = re.compile(r\\\"(?<![A-Z0-9])[-+]?\\\\d{1,3}(?:[ '\\\\u00a0]\\\\d{3})*(?:[.,]\\\\d+)?|(?<![A-Z0-9])[-+]?\\\\d+(?:[.,]\\\\d+)?\\\")\\n\\n\\n@dataclass(frozen=True)\\nclass CandidateInput:\\n    source_file: str\\n    platform: str\\n    account: str = \\\"\\\"\\n    source_row_number: str = \\\"\\\"\\n    raw_name: str = \\\"\\\"\\n    raw_ticker: str = \\\"\\\"\\n    raw_isin: str = \\\"\\\"\\n    raw_currency: str = \\\"\\\"\\n    raw_quantity: str = \\\"\\\"\\n    raw_asset_class: str = \\\"\\\"\\n    extracted_by: str = \\\"deterministic_parser\\\"\\n    extraction_confidence: str = \\\"low\\\"\\n    proposed_name: str = \\\"\\\"\\n    proposed_ticker: str = \\\"\\\"\\n    proposed_isin: str = \\\"\\\"\\n    proposed_exchange: str = \\\"\\\"\\n    proposed_currency: str = \\\"\\\"\\n    proposed_asset_class: str = \\\"\\\"\\n    provider: str = \\\"\\\"\\n    provider_symbol: str = \\\"\\\"\\n    mapping_status: str = \\\"needs_manual_review\\\"\\n    review_note: str = \\\"\\\"\\n\\n\\n@dataclass(frozen=True)\\nclass CandidateSummary:\\n    candidates_total: int = 0\\n    with_isin: int = 0\\n    without_isin: int = 0\\n    with_ticker: int = 0\\n    with_currency: int = 0\\n    exact_isin_match: int = 0\\n    probable: int = 0\\n    needs_manual_review: int = 0\\n    confirmed: int = 0\\n    rejected: int = 0\\n    importable_confirmed: int = 0\\n    blocked: int = 0\\n    qwen_used: bool = False\\n    parser_qwen_agree: int = 0\\n    parser_qwen_disagree: int = 0\\n    transactions_written: int = 0\\n    audit_logs_written: int = 0\\n    warnings: int = 0\\n    errors: int = 0\\n    dry_run: bool = False\\n    qwen_available: bool = False\\n\\n\\ndef _norm_space(text: str) -> str:\\n    return re.sub(r\\\"\\\\s+\\\", \\\" \\\", str(text or \\\"\\\")).strip()\\n\\n\\ndef _source_label(source_file: str) -> str:\\n    p = Path(source_file)\\n    return hashlib.sha256(str(p.name).encode(\\\"utf-8\\\")).hexdigest()[:12]\\n\\n\\ndef _candidate_id(inp: CandidateInput) -> str:\\n    return stable_id(\\n        \\\"instrument_candidate\\\",\\n        _source_label(inp.source_file), inp.platform, inp.account, inp.source_row_number,\\n        inp.raw_name, inp.raw_isin, inp.raw_ticker, inp.raw_currency, inp.raw_quantity,\\n    )\\n\\n\\ndef _file_label(path: str | Path) -> str:\\n    return Path(path).name\\n\\n\\ndef extract_docx_text(path: str | Path) -> list[str]:\\n    \\\"\\\"\\\"Return sanitized paragraph/table text lines from a DOCX without storing broker content in repo.\\\"\\\"\\\"\\n    with zipfile.ZipFile(path) as zf:\\n        xml = zf.read(\\\"word/document.xml\\\")\\n    root = ET.fromstring(xml)\\n    ns = {\\\"w\\\": \\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"}\\n    lines: list[str] = []\\n    for para in root.findall(\\\".//w:p\\\", ns):\\n        text = _norm_space(\\\"\\\".join(node.text or \\\"\\\" for node in para.findall(\\\".//w:t\\\", ns)))\\n        if text:\\n            lines.append(text)\\n    return lines\\n\\n\\ndef _looks_position_line(line: str) -> bool:\\n    up = line.upper()\\n    if any(stop in up for stop in (\\\"TOTAL\\\", \\\"SUMME\\\", \\\"CASH\\\", \\\"LIQUIDIT\\\", \\\"KONTO\\\", \\\"MARKTWERT\\\", \\\"PERFORMANCE\\\")):\\n        return False\\n    has_identifier = bool(ISIN_RE.search(up) or CURRENCY_RE.search(up))\\n    has_quantity_like = len(DECIMAL_RE.findall(line)) >= 1\\n    has_name = len(re.sub(r\\\"[^A-Za-z]\\\", \\\"\\\", line)) >= 4\\n    return has_identifier and has_quantity_like and has_name\\n\\n\\ndef _asset_class(line: str) -> str:\\n    up = line.upper()\\n    if \\\"ETF\\\" in up or \\\"FUND\\\" in up or \\\"FONDS\\\" in up:\\n        return \\\"etf\\\"\\n    return \\\"equity\\\"\\n\\n\\ndef _extract_ticker(line: str, isin: str, currency: str) -> str:\\n    words = [m.group(0).upper() for m in TICKER_RE.finditer(line.upper())]\\n    ignored = {isin, currency, \\\"CHF\\\", \\\"USD\\\", \\\"EUR\\\", \\\"GBP\\\", \\\"ETF\\\", \\\"FUND\\\", \\\"ISIN\\\"}\\n    for w in words:\\n        if w not in ignored and not w.isdigit() and len(w) <= 8:\\n            return w\\n    return \\\"\\\"\\n\\n\\ndef _extract_quantity(line: str) -> str:\\n    # Keep as source text; callers must not print values to chat. Prefer the first decimal after an identifier-ish row.\\n    vals = DECIMAL_RE.findall(line)\\n    return _norm_space(vals[0]).replace(\\\"'\\\", \\\"\\\").replace(\\\"\\\\u00a0\\\", \\\" \\\") if vals else \\\"\\\"\\n\\n\\ndef deterministic_parse_docx(path: str | Path, *, platform: str, account: str = \\\"\\\") -> list[CandidateInput]:\\n    lines = extract_docx_text(path)\\n    out: list[CandidateInput] = []\\n    for idx, line in enumerate(lines, start=1):\\n        if not _looks_position_line(line):\\n            continue\\n        raw = _norm_space(line)\\n        isin = (ISIN_RE.search(raw.upper()).group(0) if ISIN_RE.search(raw.upper()) else \\\"\\\")\\n        curr_match = CURRENCY_RE.search(raw.upper())\\n        currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n        ticker = _extract_ticker(raw, isin, currency)\\n        # Redact obvious numeric/value clutter from name; quantity is stored separately in staging only.\\n        name = DECIMAL_RE.sub(\\\" \\\", raw)\\n        if isin:\\n            name = name.replace(isin, \\\" \\\")\\n        if currency:\\n            name = re.sub(rf\\\"\\\\b{re.escape(currency)}\\\\b\\\", \\\" \\\", name, flags=re.I)\\n        name = _norm_space(name)[:240]\\n        status = \\\"exact_isin_match\\\" if isin else \\\"needs_manual_review\\\"\\n        confidence = \\\"high\\\" if isin else (\\\"medium\\\" if ticker and currency else \\\"low\\\")\\n        out.append(CandidateInput(\\n            source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n            raw_name=name or raw[:240], raw_ticker=ticker, raw_isin=isin, raw_currency=currency,\\n            raw_quantity=_extract_quantity(raw), raw_asset_class=_asset_class(raw), extracted_by=\\\"deterministic_parser\\\",\\n            extraction_confidence=confidence, proposed_name=name or raw[:240], proposed_ticker=ticker,\\n            proposed_isin=isin, proposed_currency=currency, proposed_asset_class=_asset_class(raw),\\n            mapping_status=status, review_note=\\\"deterministic DOCX staging candidate; no productive booking\\\",\\n        ))\\n    return out\\n\\n\\ndef qwen_extract_candidates(text_lines: list[str], *, source_file: str, platform: str, account: str = \\\"\\\", endpoint: str | None = None, model: str | None = None, timeout: int = 20) -> tuple[list[CandidateInput], bool]:\\n    \\\"\\\"\\\"Use local OpenAI-compatible Qwen as assistive parser. It returns staging candidates only.\\\"\\\"\\\"\\n    endpoint = endpoint or os.getenv(\\\"QWEN_OPENAI_BASE_URL\\\") or os.getenv(\\\"LOCAL_QWEN_BASE_URL\\\") or \\\"http://127.0.0.1:11435/v1\\\"\\n    model = model or os.getenv(\\\"QWEN_MODEL\\\", \\\"qwen\\\")\\n    payload = {\\n        \\\"model\\\": model,\\n        \\\"temperature\\\": 0,\\n        \\\"messages\\\": [\\n            {\\\"role\\\": \\\"system\\\", \\\"content\\\": \\\"Extract broker equity/ETF position candidates as JSON only. Do not invent ISIN, history, prices, or IDs. Output {\\\\\\\"positions\\\\\\\":[{name,ticker,isin,currency,quantity,asset_class,row_number,confidence,note}]}\\\"},\\n            {\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"\\\\n\\\".join(f\\\"{i+1}: {line}\\\" for i, line in enumerate(text_lines[:300]))},\\n        ],\\n    }\\n    req = request.Request(f\\\"{endpoint.rstrip('/')}/chat/completions\\\", data=json.dumps(payload).encode(\\\"utf-8\\\"), headers={\\\"Content-Type\\\": \\\"application/json\\\"})\\n    try:\\n        with request.urlopen(req, timeout=timeout) as resp:\\n            data = json.loads(resp.read().decode(\\\"utf-8\\\"))\\n    except (OSError, error.URLError, TimeoutError, json.JSONDecodeError):\\n        return [], False\\n    content = data.get(\\\"choices\\\", [{}])[0].get(\\\"message\\\", {}).get(\\\"content\\\", \\\"\\\")\\n    match = re.search(r\\\"\\\\{.*\\\\}\\\", content, re.S)\\n    if not match:\\n        return [], True\\n    try:\\n        parsed = json.loads(match.group(0))\\n    except json.JSONDecodeError:\\n        return [], True\\n    out: list[CandidateInput] = []\\n    for pos in parsed.get(\\\"positions\\\", []):\\n        isin = str(pos.get(\\\"isin\\\") or \\\"\\\").strip().upper()\\n        if isin and not ISIN_RE.fullmatch(isin):\\n            isin = \\\"\\\"\\n        ticker = str(pos.get(\\\"ticker\\\") or \\\"\\\").strip().upper()\\n        currency = str(pos.get(\\\"currency\\\") or \\\"\\\").strip().upper()\\n        status = \\\"exact_isin_match\\\" if isin else \\\"needs_manual_review\\\"\\n        out.append(CandidateInput(\\n            source_file=_file_label(source_file), platform=platform, account=account,\\n            source_row_number=str(pos.get(\\\"row_number\\\") or \\\"\\\"), raw_name=_norm_space(str(pos.get(\\\"name\\\") or \\\"\\\"))[:240],\\n            raw_ticker=ticker, raw_isin=isin, raw_currency=currency, raw_quantity=str(pos.get(\\\"quantity\\\") or \\\"\\\"),\\n            raw_asset_class=str(pos.get(\\\"asset_class\\\") or \\\"\\\").lower() or \\\"equity\\\", extracted_by=\\\"qwen_local\\\",\\n            extraction_confidence=str(pos.get(\\\"confidence\\\") or \\\"low\\\"), proposed_name=_norm_space(str(pos.get(\\\"name\\\") or \\\"\\\"))[:240],\\n            proposed_ticker=ticker, proposed_isin=isin, proposed_currency=currency,\\n            proposed_asset_class=str(pos.get(\\\"asset_class\\\") or \\\"\\\").lower() or \\\"equity\\\", mapping_status=status,\\n            review_note=_norm_space(str(pos.get(\\\"note\\\") or \\\"qwen assistive extraction; review required\\\")),\\n        ))\\n    return out, True\\n\\n\\ndef upsert_candidate(conn: Connection, inp: CandidateInput, *, dry_run: bool = False) -> str:\\n    if inp.extracted_by not in VALID_EXTRACTORS:\\n        raise ValueError(\\\"invalid extractor\\\")\\n    if inp.mapping_status not in VALID_MAPPING_STATUS:\\n        raise ValueError(\\\"invalid mapping status\\\")\\n    cid = _candidate_id(inp)\\n    if dry_run:\\n        return cid\\n    now = utc_now()\\n    conn.execute(\\n        \\\"\\\"\\\"\\n        INSERT INTO instrument_import_candidates(\\n            candidate_id, source_file, platform, account, source_row_number, raw_name, raw_ticker,\\n            raw_isin, raw_currency, raw_quantity, raw_asset_class, extracted_by, extraction_confidence,\\n            proposed_name, proposed_ticker, proposed_isin, proposed_exchange, proposed_currency,\\n            proposed_asset_class, provider, provider_symbol, mapping_status, review_note, created_at, updated_at\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        ON CONFLICT(candidate_id) DO UPDATE SET\\n            raw_name=excluded.raw_name, raw_ticker=excluded.raw_ticker, raw_isin=excluded.raw_isin,\\n            raw_currency=excluded.raw_currency, raw_quantity=excluded.raw_quantity, raw_asset_class=excluded.raw_asset_class,\\n            extraction_confidence=excluded.extraction_confidence, proposed_name=excluded.proposed_name,\\n            proposed_ticker=excluded.proposed_ticker, proposed_isin=excluded.proposed_isin,\\n            proposed_exchange=excluded.proposed_exchange, proposed_currency=excluded.proposed_currency,\\n            proposed_asset_class=excluded.proposed_asset_class, provider=excluded.provider,\\n            provider_symbol=excluded.provider_symbol,\\n            mapping_status=CASE WHEN instrument_import_candidates.mapping_status='confirmed' THEN 'confirmed' ELSE excluded.mapping_status END,\\n            review_note=excluded.review_note, updated_at=excluded.updated_at\\n        \\\"\\\"\\\",\\n        (\\n            cid, inp.source_file, inp.platform, inp.account, inp.source_row_number, inp.raw_name, inp.raw_ticker,\\n            inp.raw_isin, inp.raw_currency, inp.raw_quantity, inp.raw_asset_class, inp.extracted_by, inp.extraction_confidence,\\n            inp.proposed_name, inp.proposed_ticker, inp.proposed_isin, inp.proposed_exchange, inp.proposed_currency,\\n            inp.proposed_asset_class, inp.provider, inp.provider_symbol, inp.mapping_status, inp.review_note, now, now,\\n        ),\\n    )\\n    if inp.mapping_status != \\\"confirmed\\\":\\n        create_alert(conn, priority=\\\"warnung\\\", category=\\\"equity\\\", entity_type=\\\"instrument_import_candidate\\\", entity_id=cid, rule_id=\\\"instrument_candidate_review_required\\\", message=\\\"Instrument import candidate requires manual review before booking.\\\", evidence={\\\"platform\\\": inp.platform, \\\"has_isin\\\": bool(inp.raw_isin or inp.proposed_isin)}, fingerprint=\\\"instrument_candidate_review_required\\\")\\n    return cid\\n\\n\\ndef stage_docx_candidates(conn: Connection, files: list[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\\n    qwen_used = False\\n    qwen_available = False\\n    parser_signatures: set[tuple[str, str, str]] = set()\\n    qwen_signatures: set[tuple[str, str, str]] = set()\\n    staged = 0\\n    warnings = 0\\n    errors = 0\\n    for path in files:\\n        p = Path(path)\\n        platform = \\\"true_wealth\\\" if \\\"true\\\" in p.name.lower() else (\\\"postfinance\\\" if \\\"post\\\" in p.name.lower() else \\\"unknown\\\")\\n        try:\\n            parser_candidates = deterministic_parse_docx(p, platform=platform)\\n            for c in parser_candidates:\\n                staged += 1\\n                parser_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                upsert_candidate(conn, c, dry_run=dry_run)\\n            if use_qwen:\\n                lines = extract_docx_text(p)\\n                q_candidates, available = qwen_extract_candidates(lines, source_file=p.name, platform=platform)\\n                qwen_available = qwen_available or available\\n                qwen_used = qwen_used or bool(q_candidates)\\n                for c in q_candidates:\\n                    staged += 1\\n                    qwen_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                    upsert_candidate(conn, c, dry_run=dry_run)\\n        except Exception:\\n            errors += 1\\n    if not dry_run:\\n        conn.commit()\\n    summary = summarize_candidates(conn, dry_run=dry_run)\\n    agree = len((parser_signatures - {('', '', '')}) & (qwen_signatures - {('', '', '')}))\\n    disagree = len((parser_signatures ^ qwen_signatures) - {('', '', '')}) if qwen_signatures else 0\\n    return CandidateSummary(**{**summary.__dict__, \\\"candidates_total\\\": staged if dry_run else summary.candidates_total, \\\"qwen_used\\\": qwen_used, \\\"qwen_available\\\": qwen_available, \\\"parser_qwen_agree\\\": agree, \\\"parser_qwen_disagree\\\": disagree, \\\"warnings\\\": warnings, \\\"errors\\\": errors, \\\"dry_run\\\": dry_run})\\n\\n\\ndef summarize_candidates(conn: Connection, *, dry_run: bool = False) -> CandidateSummary:\\n    def count(where: str = \\\"1=1\\\") -> int:\\n        return int(conn.execute(f\\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE {where}\\\").fetchone()[\\\"c\\\"] or 0)\\n    return CandidateSummary(\\n        candidates_total=count(),\\n        with_isin=count(\\\"COALESCE(proposed_isin, raw_isin, '')<>''\\\"),\\n        without_isin=count(\\\"COALESCE(proposed_isin, raw_isin, '')=''\\\"),\\n        with_ticker=count(\\\"COALESCE(proposed_ticker, raw_ticker, '')<>''\\\"),\\n        with_currency=count(\\\"COALESCE(proposed_currency, raw_currency, '')<>''\\\"),\\n        exact_isin_match=count(\\\"mapping_status='exact_isin_match'\\\"),\\n        probable=count(\\\"mapping_status='probable'\\\"),\\n        needs_manual_review=count(\\\"mapping_status='needs_manual_review'\\\"),\\n        confirmed=count(\\\"mapping_status='confirmed'\\\"),\\n        rejected=count(\\\"mapping_status='rejected'\\\"),\\n        importable_confirmed=count(\\\"mapping_status='confirmed' AND COALESCE(raw_quantity,'')<>'' AND COALESCE(proposed_currency,raw_currency,'')<>''\\\"),\\n        blocked=count(\\\"mapping_status!='confirmed'\\\"),\\n        dry_run=dry_run,\\n    )\\n\\n\\ndef resolve_candidate(conn: Connection, candidate_id: str) -> dict[str, str]:\\n    row = conn.execute(\\\"SELECT * FROM instrument_import_candidates WHERE candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if row is None:\\n        raise ValueError(\\\"candidate not found\\\")\\n    item = dict(row)\\n    isin = (item.get(\\\"proposed_isin\\\") or item.get(\\\"raw_isin\\\") or \\\"\\\").upper()\\n    ticker = (item.get(\\\"proposed_ticker\\\") or item.get(\\\"raw_ticker\\\") or \\\"\\\").upper()\\n    exchange = (item.get(\\\"proposed_exchange\\\") or \\\"\\\").upper()\\n    currency = (item.get(\\\"proposed_currency\\\") or item.get(\\\"raw_currency\\\") or \\\"\\\").upper()\\n    status = \\\"needs_manual_review\\\"\\n    if isin:\\n        matches = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE isin=?\\\", (isin,)).fetchone()[\\\"c\\\"]\\n        status = \\\"exact_isin_match\\\" if int(matches or 0) == 1 else \\\"needs_manual_review\\\"\\n    elif ticker and exchange and currency:\\n        matches = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries WHERE upper(ticker)=? AND upper(exchange)=? AND upper(COALESCE(trading_currency,instrument_currency,''))=?\\\", (ticker, exchange, currency)).fetchone()[\\\"c\\\"]\\n        status = \\\"probable\\\" if int(matches or 0) == 1 else \\\"needs_manual_review\\\"\\n    conn.execute(\\\"UPDATE instrument_import_candidates SET mapping_status=?, updated_at=? WHERE candidate_id=? AND mapping_status!='confirmed'\\\", (status, utc_now(), candidate_id))\\n    conn.commit()\\n    return {\\\"candidate_id\\\": candidate_id, \\\"mapping_status\\\": status}\\n\\n\\ndef confirm_candidate(conn: Connection, candidate_id: str, *, note: str, proposed_isin: str | None = None, proposed_ticker: str | None = None, proposed_exchange: str | None = None, proposed_currency: str | None = None) -> None:\\n    note = _norm_space(note)\\n    if not note:\\n        raise ValueError(\\\"review note is required\\\")\\n    row = conn.execute(\\\"SELECT * FROM instrument_import_candidates WHERE candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if row is None:\\n        raise ValueError(\\\"candidate not found\\\")\\n    isin = (proposed_isin if proposed_isin is not None else row[\\\"proposed_isin\\\"] or row[\\\"raw_isin\\\"] or \\\"\\\").strip().upper()\\n    ticker = (proposed_ticker if proposed_ticker is not None else row[\\\"proposed_ticker\\\"] or row[\\\"raw_ticker\\\"] or \\\"\\\").strip().upper()\\n    exchange = (proposed_exchange if proposed_exchange is not None else row[\\\"proposed_exchange\\\"] or \\\"\\\").strip().upper()\\n    currency = (proposed_currency if proposed_currency is not None else row[\\\"proposed_currency\\\"] or row[\\\"raw_currency\\\"] or \\\"\\\").strip().upper()\\n    if not isin and not (ticker and exchange and currency):\\n        raise ValueError(\\\"confirmed candidate requires ISIN or ticker+exchange+currency\\\")\\n    conn.execute(\\n        \\\"UPDATE instrument_import_candidates SET proposed_isin=?, proposed_ticker=?, proposed_exchange=?, proposed_currency=?, mapping_status='confirmed', review_note=?, updated_at=? WHERE candidate_id=?\\\",\\n        (isin, ticker, exchange, currency, note, utc_now(), candidate_id),\\n    )\\n    record_audit_event(conn, source=\\\"instrument_import_review\\\", action=\\\"confirm_candidate\\\", entity_type=\\\"instrument_import_candidate\\\", entity_id=candidate_id, new_values={\\\"mapping_status\\\": \\\"confirmed\\\", \\\"has_isin\\\": bool(isin)}, user_text_note=note, confirmed=True, created_by=\\\"dashboard\\\")\\n    conn.commit()\\n\\n\\ndef reject_candidate(conn: Connection, candidate_id: str, *, note: str) -> None:\\n    note = _norm_space(note)\\n    if not note:\\n        raise ValueError(\\\"review note is required\\\")\\n    conn.execute(\\\"UPDATE instrument_import_candidates SET mapping_status='rejected', review_note=?, updated_at=? WHERE candidate_id=?\\\", (note, utc_now(), candidate_id))\\n    record_audit_event(conn, source=\\\"instrument_import_review\\\", action=\\\"reject_candidate\\\", entity_type=\\\"instrument_import_candidate\\\", entity_id=candidate_id, new_values={\\\"mapping_status\\\": \\\"rejected\\\"}, user_text_note=note, confirmed=True, created_by=\\\"dashboard\\\")\\n    conn.commit()\\n\\n\\ndef import_confirmed_candidate_snapshot(conn: Connection, candidate_id: str, *, account_id: str, snapshot_date: str, note: str, confirm: bool) -> str:\\n    if not confirm:\\n        raise ValueError(\\\"explicit confirm is required\\\")\\n    row = conn.execute(\\\"SELECT * FROM instrument_import_candidates WHERE candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if row is None:\\n        raise ValueError(\\\"candidate not found\\\")\\n    if row[\\\"mapping_status\\\"] != \\\"confirmed\\\":\\n        raise ValueError(\\\"only confirmed candidates can be imported\\\")\\n    isin = (row[\\\"proposed_isin\\\"] or row[\\\"raw_isin\\\"] or \\\"\\\").strip().upper()\\n    ticker = (row[\\\"proposed_ticker\\\"] or row[\\\"raw_ticker\\\"] or \\\"\\\").strip().upper()\\n    exchange = (row[\\\"proposed_exchange\\\"] or \\\"\\\").strip().upper()\\n    currency = (row[\\\"proposed_currency\\\"] or row[\\\"raw_currency\\\"] or \\\"CHF\\\").strip().upper()\\n    name = _norm_space(row[\\\"proposed_name\\\"] or row[\\\"raw_name\\\"] or \\\"Reviewed instrument\\\")\\n    if not isin and not (ticker and exchange and currency):\\n        raise ValueError(\\\"confirmed import requires ISIN or ticker+exchange+currency\\\")\\n    try:\\n        Decimal(str(row[\\\"raw_quantity\\\"]).replace(\\\"'\\\", \\\"\\\").replace(\\\" \\\", \\\"\\\").replace(\\\",\\\", \\\".\\\"))\\n    except (InvalidOperation, ValueError) as exc:\\n        raise ValueError(\\\"candidate quantity must be Decimal text\\\") from exc\\n    cid = upsert_catalog_entry(conn, CatalogEntryInput(asset_class=\\\"etf\\\" if row[\\\"proposed_asset_class\\\"] == \\\"etf\\\" else \\\"equity\\\", name=name, isin=isin, ticker=ticker, exchange=exchange, trading_currency=currency, instrument_currency=currency, provider=row[\\\"provider\\\"] or \\\"manual\\\", provider_symbol=row[\\\"provider_symbol\\\"] or None, source=\\\"broker_review\\\", source_confidence=\\\"high\\\" if isin else \\\"medium\\\"), note=note)\\n    result = add_manual_position_from_catalog(conn, catalog_entry_id=cid, account_id=account_id, position_type=\\\"initial_snapshot\\\", quantity_text=str(row[\\\"raw_quantity\\\"]).replace(\\\"'\\\", \\\"\\\").replace(\\\" \\\", \\\"\\\").replace(\\\",\\\", \\\".\\\"), trade_date=snapshot_date, currency=currency, cost_basis_original_text=None, fx_status=\\\"not_needed\\\" if currency == \\\"CHF\\\" else \\\"missing\\\", note=note, confirm=True)\\n    conn.execute(\\\"UPDATE transactions SET source_type='broker_import_reviewed_snapshot', source_id=? WHERE transaction_id=?\\\", (candidate_id, result.transaction_id))\\n    record_audit_event(conn, source=\\\"instrument_import_review\\\", action=\\\"import_confirmed_candidate_snapshot\\\", entity_type=\\\"transaction\\\", entity_id=result.transaction_id, new_values={\\\"candidate_id\\\": candidate_id, \\\"cost_basis_uncertain\\\": True}, user_text_note=note, confirmed=True, created_by=\\\"dashboard\\\")\\n    conn.commit()\\n    return result.transaction_id\\n\"}"
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      "role": "tool",
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -151,7 +151,8 @@\\n         if not _looks_position_line(line):\\n             continue\\n         raw = _norm_space(line)\\n-        isin = (ISIN_RE.search(raw.upper()).group(0) if ISIN_RE.search(raw.upper()) else \\\"\\\")\\n+        isin_match = ISIN_RE.search(raw.upper())\\n+        isin = isin_match.group(0) if isin_match else \\\"\\\"\\n         curr_match = CURRENCY_RE.search(raw.upper())\\n         currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n         ticker = _extract_ticker(raw, isin, currency)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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          "call_id": "call_KIaCas4K01r9n3kCfaNJeJl8",
          "response_item_id": "fc_050d8748f6b874ac016a0777c9bf4c8191a0ef95904dd1f30c",
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            "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"old_string\":\"MIGRATION_VERSION = 14\\nMIGRATION_NAME = \\\"014_candidate_ranking_decision_pack\\\"\",\"new_string\":\"MIGRATION_VERSION = 15\\nMIGRATION_NAME = \\\"015_instrument_import_candidates\\\"\"}"
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    },
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      "name": "patch",
      "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 = 14\\n-MIGRATION_NAME = \\\"014_candidate_ranking_decision_pack\\\"\\n+MIGRATION_VERSION = 15\\n+MIGRATION_NAME = \\\"015_instrument_import_candidates\\\"\\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\": \"\"}, \"_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.\"}",
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            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def _create_instrument_import_candidates(conn: Connection) -> None:\\n    conn.executescript(\\n        \\\"\\\"\\\"\\n        CREATE TABLE IF NOT EXISTS instrument_import_candidates (\\n            candidate_id TEXT PRIMARY KEY,\\n            source_file TEXT NOT NULL,\\n            platform TEXT NOT NULL,\\n            account TEXT,\\n            source_row_number TEXT,\\n            raw_name TEXT,\\n            raw_ticker TEXT,\\n            raw_isin TEXT,\\n            raw_currency TEXT,\\n            raw_quantity TEXT,\\n            raw_asset_class TEXT,\\n            extracted_by TEXT NOT NULL DEFAULT 'deterministic_parser',\\n            extraction_confidence TEXT NOT NULL DEFAULT 'low',\\n            proposed_name TEXT,\\n            proposed_ticker TEXT,\\n            proposed_isin TEXT,\\n            proposed_exchange TEXT,\\n            proposed_currency TEXT,\\n            proposed_asset_class TEXT,\\n            provider TEXT,\\n            provider_symbol TEXT,\\n            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n            review_note TEXT,\\n            created_at TEXT NOT NULL,\\n            updated_at TEXT\\n        );\\n        CREATE INDEX IF NOT EXISTS idx_instrument_import_candidates_status ON instrument_import_candidates(mapping_status);\\n        CREATE INDEX IF NOT EXISTS idx_instrument_import_candidates_platform ON instrument_import_candidates(platform);\\n        CREATE INDEX IF NOT EXISTS idx_instrument_import_candidates_isin ON instrument_import_candidates(proposed_isin, raw_isin);\\n        \\\"\\\"\\\"\\n    )\\n    _add_missing_columns(conn, \\\"instrument_import_candidates\\\", {\\n        \\\"account\\\": \\\"TEXT\\\",\\n        \\\"provider\\\": \\\"TEXT\\\",\\n        \\\"provider_symbol\\\": \\\"TEXT\\\",\\n        \\\"review_note\\\": \\\"TEXT\\\",\\n    })\\n\\n\\n\\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    _create_broker_import_review_items(conn)\\n    _create_broker_import_execution_plans(conn)\\n    _add_transaction_void_columns(conn)\\n    _create_fx_market_data_tables(conn)\\n    _create_instrument_import_candidates(conn)\",\"old_string\":\"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    _create_broker_import_review_items(conn)\\n    _create_broker_import_execution_plans(conn)\\n    _add_transaction_void_columns(conn)\\n    _create_fx_market_data_tables(conn)\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"
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        }
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    {
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      "name": "patch",
      "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@@ -431,6 +431,50 @@\\n     conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\\n \\n \\n+def _create_instrument_import_candidates(conn: Connection) -> None:\\n+    conn.executescript(\\n+        \\\"\\\"\\\"\\n+        CREATE TABLE IF NOT EXISTS instrument_import_candidates (\\n+            candidate_id TEXT PRIMARY KEY,\\n+            source_file TEXT NOT NULL,\\n+            platform TEXT NOT NULL,\\n+            account TEXT,\\n+            source_row_number TEXT,\\n+            raw_name TEXT,\\n+            raw_ticker TEXT,\\n+            raw_isin TEXT,\\n+            raw_currency TEXT,\\n+            raw_quantity TEXT,\\n+            raw_asset_class TEXT,\\n+            extracted_by TEXT NOT NULL DEFAULT 'deterministic_parser',\\n+            extraction_confidence TEXT NOT NULL DEFAULT 'low',\\n+            proposed_name TEXT,\\n+            proposed_ticker TEXT,\\n+            proposed_isin TEXT,\\n+            proposed_exchange TEXT,\\n+            proposed_currency TEXT,\\n+            proposed_asset_class TEXT,\\n+            provider TEXT,\\n+            provider_symbol TEXT,\\n+            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n+            review_note TEXT,\\n+            created_at TEXT NOT NULL,\\n+            updated_at TEXT\\n+        );\\n+        CREATE INDEX IF NOT EXISTS idx_instrument_import_candidates_status ON instrument_import_candidates(mapping_status);\\n+        CREATE INDEX IF NOT EXISTS idx_instrument_import_candidates_platform ON instrument_import_candidates(platform);\\n+        CREATE INDEX IF NOT EXISTS idx_instrument_import_candidates_isin ON instrument_import_candidates(proposed_isin, raw_isin);\\n+        \\\"\\\"\\\"\\n+    )\\n+    _add_missing_columns(conn, \\\"instrument_import_candidates\\\", {\\n+        \\\"account\\\": \\\"TEXT\\\",\\n+        \\\"provider\\\": \\\"TEXT\\\",\\n+        \\\"provider_symbol\\\": \\\"TEXT\\\",\\n+        \\\"review_note\\\": \\\"TEXT\\\",\\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@@ -440,6 +484,7 @@\\n     _create_broker_import_execution_plans(conn)\\n     _add_transaction_void_columns(conn)\\n     _create_fx_market_data_tables(conn)\\n+    _create_instrument_import_candidates(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\": \"\"}}",
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n@@ -806,7 +806,8 @@\\n         (\\\"Valuation not ready\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_provider_symbol','missing_market_price','missing_fx','hedge_status_unknown','instrument_status_unknown')\\\", \\\"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+        (\\\"Instrument Import Kandidaten unbestätigt\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE mapping_status NOT IN ('confirmed','rejected')\\\", \\\"warnung\\\"),\\n+        (\\\"Instrument Import Kandidaten ohne ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE COALESCE(proposed_isin, raw_isin, '')='' AND mapping_status!='rejected'\\\", \\\"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\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}",
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            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def get_instrument_import_candidates(conn: Connection, status: str | None = None) -> list[dict[str, str]]:\\n    sql = \\\"\\\"\\\"\\n        SELECT candidate_id, source_file, platform, account, source_row_number,\\n               raw_name, raw_ticker, raw_isin, raw_currency,\\n               CASE WHEN COALESCE(raw_quantity,'')<>'' THEN '<present>' ELSE '' END AS raw_quantity_present,\\n               raw_asset_class, extracted_by, extraction_confidence,\\n               proposed_name, proposed_ticker, proposed_isin, proposed_exchange,\\n               proposed_currency, proposed_asset_class, provider, provider_symbol,\\n               mapping_status, review_note, created_at, updated_at\\n        FROM instrument_import_candidates\\n    \\\"\\\"\\\"\\n    params: list[object] = []\\n    if status:\\n        sql += \\\" WHERE mapping_status=?\\\"\\n        params.append(status)\\n    sql += \\\" ORDER BY CASE mapping_status WHEN 'needs_manual_review' THEN 0 WHEN 'probable' THEN 1 WHEN 'exact_isin_match' THEN 2 WHEN 'confirmed' THEN 3 ELSE 4 END, platform, source_row_number\\\"\\n    return rowdicts(conn.execute(sql, tuple(params)).fetchall())\\n\\n\\ndef get_instrument_import_candidate_summary(conn: Connection) -> dict[str, str]:\\n    def c(where: str) -> str:\\n        row = conn.execute(f\\\"SELECT COUNT(*) AS n FROM instrument_import_candidates WHERE {where}\\\").fetchone()\\n        return str(row[\\\"n\\\"] or 0)\\n    return {\\n        \\\"candidates_total\\\": c(\\\"1=1\\\"),\\n        \\\"with_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')<>''\\\"),\\n        \\\"without_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')=''\\\"),\\n        \\\"with_ticker\\\": c(\\\"COALESCE(proposed_ticker, raw_ticker, '')<>''\\\"),\\n        \\\"with_currency\\\": c(\\\"COALESCE(proposed_currency, raw_currency, '')<>''\\\"),\\n        \\\"exact_isin_match\\\": c(\\\"mapping_status='exact_isin_match'\\\"),\\n        \\\"probable\\\": c(\\\"mapping_status='probable'\\\"),\\n        \\\"needs_manual_review\\\": c(\\\"mapping_status='needs_manual_review'\\\"),\\n        \\\"confirmed\\\": c(\\\"mapping_status='confirmed'\\\"),\\n        \\\"blocked\\\": c(\\\"mapping_status!='confirmed'\\\"),\\n    }\\n\\n\\ndef get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\",\"old_string\":\"def get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}"
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      "role": "tool",
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n@@ -882,6 +882,43 @@\\n     return rowdicts(rows)\\n \\n \\n+def get_instrument_import_candidates(conn: Connection, status: str | None = None) -> list[dict[str, str]]:\\n+    sql = \\\"\\\"\\\"\\n+        SELECT candidate_id, source_file, platform, account, source_row_number,\\n+               raw_name, raw_ticker, raw_isin, raw_currency,\\n+               CASE WHEN COALESCE(raw_quantity,'')<>'' THEN '<present>' ELSE '' END AS raw_quantity_present,\\n+               raw_asset_class, extracted_by, extraction_confidence,\\n+               proposed_name, proposed_ticker, proposed_isin, proposed_exchange,\\n+               proposed_currency, proposed_asset_class, provider, provider_symbol,\\n+               mapping_status, review_note, created_at, updated_at\\n+        FROM instrument_import_candidates\\n+    \\\"\\\"\\\"\\n+    params: list[object] = []\\n+    if status:\\n+        sql += \\\" WHERE mapping_status=?\\\"\\n+        params.append(status)\\n+    sql += \\\" ORDER BY CASE mapping_status WHEN 'needs_manual_review' THEN 0 WHEN 'probable' THEN 1 WHEN 'exact_isin_match' THEN 2 WHEN 'confirmed' THEN 3 ELSE 4 END, platform, source_row_number\\\"\\n+    return rowdicts(conn.execute(sql, tuple(params)).fetchall())\\n+\\n+\\n+def get_instrument_import_candidate_summary(conn: Connection) -> dict[str, str]:\\n+    def c(where: str) -> str:\\n+        row = conn.execute(f\\\"SELECT COUNT(*) AS n FROM instrument_import_candidates WHERE {where}\\\").fetchone()\\n+        return str(row[\\\"n\\\"] or 0)\\n+    return {\\n+        \\\"candidates_total\\\": c(\\\"1=1\\\"),\\n+        \\\"with_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')<>''\\\"),\\n+        \\\"without_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')=''\\\"),\\n+        \\\"with_ticker\\\": c(\\\"COALESCE(proposed_ticker, raw_ticker, '')<>''\\\"),\\n+        \\\"with_currency\\\": c(\\\"COALESCE(proposed_currency, raw_currency, '')<>''\\\"),\\n+        \\\"exact_isin_match\\\": c(\\\"mapping_status='exact_isin_match'\\\"),\\n+        \\\"probable\\\": c(\\\"mapping_status='probable'\\\"),\\n+        \\\"needs_manual_review\\\": c(\\\"mapping_status='needs_manual_review'\\\"),\\n+        \\\"confirmed\\\": c(\\\"mapping_status='confirmed'\\\"),\\n+        \\\"blocked\\\": c(\\\"mapping_status!='confirmed'\\\"),\\n+    }\\n+\\n+\\n def get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\\n     if instrument_id:\\n         rows = conn.execute(\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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              "text": "**Reviewing UI imports**\n\nI need to take a look at the UI imports for the patch. It sounds like I should also review the tab labels related to the queue. Okay, so I'll make sure everything is properly set up and organized. I wonder if there are any issues that might come up during this review. I just want to ensure that everything is functioning smoothly! Time to dive into the details and see what needs fixing."
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            "arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, add_manual_position_from_catalog, create_manual_catalog_entry, get_equity_management_options\\nfrom jarvis_finance.fx.overrides import set_manual_fx_override\\nfrom jarvis_finance.imports.instrument_candidates import confirm_candidate, reject_candidate, resolve_candidate\\nfrom jarvis_finance.market_data.candidates import reject_mapping_candidate, select_mapping_candidate\",\"old_string\":\"from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, add_manual_position_from_catalog, create_manual_catalog_entry, get_equity_management_options\\nfrom jarvis_finance.fx.overrides import set_manual_fx_override\\nfrom jarvis_finance.market_data.candidates import reject_mapping_candidate, select_mapping_candidate\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n@@ -6,6 +6,7 @@\\n from jarvis_finance.dashboard.components.tables import show_table\\n from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, add_manual_position_from_catalog, create_manual_catalog_entry, get_equity_management_options\\n from jarvis_finance.fx.overrides import set_manual_fx_override\\n+from jarvis_finance.imports.instrument_candidates import confirm_candidate, reject_candidate, resolve_candidate\\n from jarvis_finance.market_data.candidates import reject_mapping_candidate, select_mapping_candidate\\n \\n PAGE_TITLE = \\\"Equity/ETF Manage\\\"\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}",
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          "call_id": "call_BYHrtyz9mvOBc2oonuBepSqz",
          "response_item_id": "fc_0b1602dae7e165eb016a07780e0c14819183ed4179bd368147",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    tabs = st.tabs([\\\"Instrument Search / Add Position\\\", \\\"Mapping Review Queue\\\", \\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\",\"old_string\":\"    tabs = st.tabs([\\\"Instrument Search / Add Position\\\", \\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"}"
          }
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      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n@@ -38,7 +38,7 @@\\n     options = get_equity_management_options(conn)\\n     account_labels = [_account_label(row) for row in options[\\\"accounts\\\"]]\\n     instrument_labels = [_instrument_label(row) for row in options[\\\"instruments\\\"]]\\n-    tabs = st.tabs([\\\"Instrument Search / Add Position\\\", \\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\\n+    tabs = st.tabs([\\\"Instrument Search / Add Position\\\", \\\"Mapping Review Queue\\\", \\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\\n \\n     with tabs[0]:\\n         st.subheader(\\\"Instrument Search / Add Position\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    with tabs[1]:\\n        st.subheader(\\\"Mapping Review Queue: PostFinance / True Wealth\\\")\\n        st.caption(\\\"Staging-Kandidaten aus Broker-DOCX. Mengen sind nur als '<present>' sichtbar; keine produktive Buchung ohne confirmed + separate Import-Freigabe.\\\")\\n        st.write(data.get_instrument_import_candidate_summary(conn))\\n        status_filter = st.selectbox(\\\"Status\\\", [\\\"\\\", \\\"needs_manual_review\\\", \\\"exact_isin_match\\\", \\\"probable\\\", \\\"confirmed\\\", \\\"rejected\\\"], key=\\\"instrument_candidate_status_filter\\\")\\n        candidate_rows = data.get_instrument_import_candidates(conn, status=status_filter or None)\\n        show_table(st, candidate_rows)\\n        labels = [f\\\"{r['candidate_id']} | {r['platform']} | {r.get('raw_ticker','')} | {r.get('raw_isin','')} | {r['mapping_status']}\\\" for r in candidate_rows]\\n        selected_label = st.selectbox(\\\"Kandidat auswählen\\\", labels, key=\\\"instrument_candidate_select\\\") if labels else None\\n        review_note = st.text_area(\\\"Review-Notiz (Pflicht für Confirm/Reject)\\\", key=\\\"instrument_candidate_note\\\")\\n        manual_isin = st.text_input(\\\"ISIN manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_isin\\\")\\n        manual_ticker = st.text_input(\\\"Ticker manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_ticker\\\")\\n        manual_exchange = st.text_input(\\\"Exchange manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_exchange\\\")\\n        manual_currency = st.selectbox(\\\"Währung manuell ergänzen/korrigieren\\\", [\\\"\\\", \\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"instrument_candidate_currency\\\")\\n        st.info(\\\"Ticker allein reicht nie für Auto-Import. ISIN oder Ticker+Exchange+Währung werden für confirmed verlangt.\\\")\\n        if st.button(\\\"Resolver erneut anwenden\\\", key=\\\"instrument_candidate_resolve\\\"):\\n            try:\\n                if not selected_label:\\n                    raise ValueError(\\\"candidate is required\\\")\\n                result = resolve_candidate(conn, selected_label.split(\\\" | \\\", 1)[0])\\n                st.success(\\\"Resolver ausgeführt; Status aktualisiert.\\\")\\n                st.write(result)\\n            except Exception as exc:\\n                st.error(f\\\"Resolver abgelehnt: {exc}\\\")\\n        if st.button(\\\"Kandidat bestätigen\\\", key=\\\"instrument_candidate_confirm\\\"):\\n            try:\\n                if not selected_label:\\n                    raise ValueError(\\\"candidate is required\\\")\\n                confirm_candidate(conn, selected_label.split(\\\" | \\\", 1)[0], note=review_note, proposed_isin=manual_isin or None, proposed_ticker=manual_ticker or None, proposed_exchange=manual_exchange or None, proposed_currency=manual_currency or None)\\n                st.success(\\\"Kandidat bestätigt; Audit-Log geschrieben. Noch keine Portfolio-Buchung.\\\")\\n            except Exception as exc:\\n                st.error(f\\\"Bestätigung abgelehnt: {exc}\\\")\\n        if st.button(\\\"Kandidat ablehnen\\\", key=\\\"instrument_candidate_reject\\\"):\\n            try:\\n                if not selected_label:\\n                    raise ValueError(\\\"candidate is required\\\")\\n                reject_candidate(conn, selected_label.split(\\\" | \\\", 1)[0], note=review_note)\\n                st.success(\\\"Kandidat abgelehnt; Audit-Log geschrieben.\\\")\\n            except Exception as exc:\\n                st.error(f\\\"Ablehnung abgelehnt: {exc}\\\")\\n        st.caption(\\\"Finaler Initial-Snapshot-Import bleibt absichtlich außerhalb dieser Review-Aktion und braucht separate Freigabe.\\\")\\n\\n    with tabs[2]:\",\"old_string\":\"    with tabs[1]:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n@@ -97,6 +97,48 @@\\n                 st.error(f\\\"Positionsspeicherung abgelehnt: {exc}\\\")\\n \\n     with tabs[1]:\\n+        st.subheader(\\\"Mapping Review Queue: PostFinance / True Wealth\\\")\\n+        st.caption(\\\"Staging-Kandidaten aus Broker-DOCX. Mengen sind nur als '<present>' sichtbar; keine produktive Buchung ohne confirmed + separate Import-Freigabe.\\\")\\n+        st.write(data.get_instrument_import_candidate_summary(conn))\\n+        status_filter = st.selectbox(\\\"Status\\\", [\\\"\\\", \\\"needs_manual_review\\\", \\\"exact_isin_match\\\", \\\"probable\\\", \\\"confirmed\\\", \\\"rejected\\\"], key=\\\"instrument_candidate_status_filter\\\")\\n+        candidate_rows = data.get_instrument_import_candidates(conn, status=status_filter or None)\\n+        show_table(st, candidate_rows)\\n+        labels = [f\\\"{r['candidate_id']} | {r['platform']} | {r.get('raw_ticker','')} | {r.get('raw_isin','')} | {r['mapping_status']}\\\" for r in candidate_rows]\\n+        selected_label = st.selectbox(\\\"Kandidat auswählen\\\", labels, key=\\\"instrument_candidate_select\\\") if labels else None\\n+        review_note = st.text_area(\\\"Review-Notiz (Pflicht für Confirm/Reject)\\\", key=\\\"instrument_candidate_note\\\")\\n+        manual_isin = st.text_input(\\\"ISIN manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_isin\\\")\\n+        manual_ticker = st.text_input(\\\"Ticker manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_ticker\\\")\\n+        manual_exchange = st.text_input(\\\"Exchange manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_exchange\\\")\\n+        manual_currency = st.selectbox(\\\"Währung manuell ergänzen/korrigieren\\\", [\\\"\\\", \\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"instrument_candidate_currency\\\")\\n+        st.info(\\\"Ticker allein reicht nie für Auto-Import. ISIN oder Ticker+Exchange+Währung werden für confirmed verlangt.\\\")\\n+        if st.button(\\\"Resolver erneut anwenden\\\", key=\\\"instrument_candidate_resolve\\\"):\\n+            try:\\n+                if not selected_label:\\n+                    raise ValueError(\\\"candidate is required\\\")\\n+                result = resolve_candidate(conn, selected_label.split(\\\" | \\\", 1)[0])\\n+                st.success(\\\"Resolver ausgeführt; Status aktualisiert.\\\")\\n+                st.write(result)\\n+            except Exception as exc:\\n+                st.error(f\\\"Resolver abgelehnt: {exc}\\\")\\n+        if st.button(\\\"Kandidat bestätigen\\\", key=\\\"instrument_candidate_confirm\\\"):\\n+            try:\\n+                if not selected_label:\\n+                    raise ValueError(\\\"candidate is required\\\")\\n+                confirm_candidate(conn, selected_label.split(\\\" | \\\", 1)[0], note=review_note, proposed_isin=manual_isin or None, proposed_ticker=manual_ticker or None, proposed_exchange=manual_exchange or None, proposed_currency=manual_currency or None)\\n+                st.success(\\\"Kandidat bestätigt; Audit-Log geschrieben. Noch keine Portfolio-Buchung.\\\")\\n+            except Exception as exc:\\n+                st.error(f\\\"Bestätigung abgelehnt: {exc}\\\")\\n+        if st.button(\\\"Kandidat ablehnen\\\", key=\\\"instrument_candidate_reject\\\"):\\n+            try:\\n+                if not selected_label:\\n+                    raise ValueError(\\\"candidate is required\\\")\\n+                reject_candidate(conn, selected_label.split(\\\" | \\\", 1)[0], note=review_note)\\n+                st.success(\\\"Kandidat abgelehnt; Audit-Log geschrieben.\\\")\\n+            except Exception as exc:\\n+                st.error(f\\\"Ablehnung abgelehnt: {exc}\\\")\\n+        st.caption(\\\"Finaler Initial-Snapshot-Import bleibt absichtlich außerhalb dieser Review-Aktion und braucht separate Freigabe.\\\")\\n+\\n+    with tabs[2]:\\n         st.subheader(\\\"Aktie/ETF als Initial Snapshot hinzufügen\\\")\\n         account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=\\\"equity_add_account\\\") if account_labels else None\\n         asset_class = st.selectbox(\\\"Assetklasse\\\", [\\\"stock\\\", \\\"ETF\\\"], key=\\\"equity_add_class\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_XjoykTuLxTGPv2AecXwShrXt"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Fixing nested structure**\n\nI think I’ve encountered a nested duplication issue. It looks like the new patch was inserted inside the old one with tabs [1] and [2]. I still need to manage the indices to keep the transaction calls as old, from 2 to 8. I’ve got to adjust the tab shift to 3 to 9, which means that my review of old tabs should now consider that tabs [9] should actually be [10]. Plus, the initial snapshot for tabs [2] indicates that transaction_form should start with tabs [3].",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Fixing nested structure**\n\nI think I’ve encountered a nested duplication issue. It looks like the new patch was inserted inside the old one with tabs [1] and [2]. I still need to manage the indices to keep the transaction calls as old, from 2 to 8. I’ve got to adjust the tab shift to 3 to 9, which means that my review of old tabs should now consider that tabs [9] should actually be [10]. Plus, the initial snapshot for tabs [2] indicates that transaction_form should start with tabs [3].",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqB3gsHNnIypYqbDefgdm8uJpJrp-hulMRQfyN5OStaHzRbdQ94vqN4KhIBqLFtMNTsb9D3__qufNHms_tRU9eCXA06XM0E6OlA5lz_LcZVwc6Sa3US8D_bQoOOW4IrRwkXcH8lhO5JOIcuHdYXOGK0Q_Pij7ghvP9O5NveOOMpEtt0MB-oEyj_oSZwGyb2vXgux7JT1B1c1TQstxMum-JXGDdPR-_t6RIqkcM0EsZssKEbi5EM0T4Jc-o0--rR5oSdpCO0xZKbw3InXenpzH1n8FXidyp7MzKaqSt0H8JCrboBi8Iueiy9JPHVHTtShufviOryfCoJf5dkEZQMnHmpngzAF4tpgJBPsZsWR66J_-UakGKW2o1e_X0Fbv189zGzBM9WJkLcDFi8wj9BJpHN3sxbmmKqEo7MIwPapHLZkRnA1XOap-KUZLNpg5vDtwheFjBk5fGsks8yZQFzmfzvyWTX1pXu3KMVitWIYxg2vLXimvwsoeMJ4Up5a36Q_DdDtn-HwQ1ZO7H0-DxSTNuUGXVsq5XhYKkmZac3l8xBmbUHpEDBkbwDsNBcDCNX0B4-048tOrjBi62JZIe8PZ9SaSNCP9GIwF32n8gOHHC3xhDkJFLo6PFU3rdBz6X4dCv2bhSKUGO5SvnsNl7woQJH9q6kBV36soFb_vIWgd32V5G-IR6Tzzijx-WqdQaMBcpVMqF_vGHr646FeWNvPbE6TpEIbtv6yNYlmKRhzA8iFnCZwBV4XJEhpugaGrBFvPXnOBZfUO4W7HP5fQQCttBwgx746n8ep3k9N_OPn7ib6260RADEpXUdfFh_kRBeZcXI5bXrrU3qdG2klmWWfztgtCZDJwz1L1lfeNd5Aw2ZF4vtgrYV9zY3geQzJbVIppc8aNMtDHvj_Jn2QP4-Hwc2lWbOCTz_NZlTLKoJw-LdHC6O_nUcdpxTbz1J7Ne5DUg5U-kcuzuiGi3v7mXLier_3Zc3jwUT8SdV6ozASKyovO4yb9mMVfsqUoI_-9iok4eBIE1DxzUS53sErqtUFwxSG9cHUwgQckRIrE0GUkgdPUqoylZsjfoqWuoWjh4jxAcGwjcXAk1u94dAuf56P8YqyrvO001C5sRcAAM1Bu21vQz9sRZIMb4e-VxcT7fl3O7IsUuumZ2_-deQFF0lxXhRd6ePv5_1BL0XbNY3CTOlgBfKFoGvYeh-FJ1y67iqxC1srvml-yav6amHwRyzgtINaq8zT4aCUli4CL4Ch2eILvxjw7Wk39LNpQj_X6bPVhkCYVCGCa-8lof1iRYq3ceaTC7Lg==",
          "id": "rs_045623c505f2037c016a0778290ce48191b3825319eaa552f7",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Fixing nested structure**\n\nI think I’ve encountered a nested duplication issue. It looks like the new patch was inserted inside the old one with tabs [1] and [2]. I still need to manage the indices to keep the transaction calls as old, from 2 to 8. I’ve got to adjust the tab shift to 3 to 9, which means that my review of old tabs should now consider that tabs [9] should actually be [10]. Plus, the initial snapshot for tabs [2] indicates that transaction_form should start with tabs [3]."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_v1N9d0pC1JXT1lQXw7hfSlBn",
          "call_id": "call_v1N9d0pC1JXT1lQXw7hfSlBn",
          "response_item_id": "fc_045623c505f2037c016a07782c7ba08191ac3d12b2b1f90a9f",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    transaction_form(tabs[3], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n    transaction_form(tabs[4], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n    transaction_form(tabs[5], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n    transaction_form(tabs[6], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n    transaction_form(tabs[7], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n    transaction_form(tabs[8], \\\"Fee erfassen\\\", \\\"fee\\\")\\n    transaction_form(tabs[9], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n\\n    with tabs[10]:\",\"old_string\":\"    transaction_form(tabs[2], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n    transaction_form(tabs[3], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n    transaction_form(tabs[4], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n    transaction_form(tabs[5], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n    transaction_form(tabs[6], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n    transaction_form(tabs[7], \\\"Fee erfassen\\\", \\\"fee\\\")\\n    transaction_form(tabs[8], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n\\n    with tabs[9]:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n@@ -239,15 +239,15 @@\\n                 except Exception as exc:\\n                     st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n \\n-    transaction_form(tabs[2], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n-    transaction_form(tabs[3], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n-    transaction_form(tabs[4], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n-    transaction_form(tabs[5], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n-    transaction_form(tabs[6], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n-    transaction_form(tabs[7], \\\"Fee erfassen\\\", \\\"fee\\\")\\n-    transaction_form(tabs[8], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n-\\n-    with tabs[9]:\\n+    transaction_form(tabs[3], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n+    transaction_form(tabs[4], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n+    transaction_form(tabs[5], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n+    transaction_form(tabs[6], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n+    transaction_form(tabs[7], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n+    transaction_form(tabs[8], \\\"Fee erfassen\\\", \\\"fee\\\")\\n+    transaction_form(tabs[9], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n+\\n+    with tabs[10]:\\n         st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n         show_table(st, data.get_positions(conn))\\n         st.divider()\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_v1N9d0pC1JXT1lQXw7hfSlBn"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqB3g189BBfuBFrBhQkvraE2lxV4qFrEEt5ByNqjYyl82rl3SSL9BlzZDnyrXlZgHLNz6JFy70GOAMYS99MPvht7JVCGKkZXUhFAEh9XAk-4hDF4XxkNYOPWr6ZnVQt3oBVTGE_Mc1xW8K42SgGQmSZ_VLNtjL63g7UUmtY5zatTUiloBGbJZ1PkUPEVHL0dZwmCjrA3nUttS-QpqAJv2ZcWB6_JLxsNqfTqHoX-aKoMzASGsIy_GMaIX30wraHr6DFX02tmp0W6Px5Q-28qnAHKd3iVT-JcBZeM7WyY70iyAMd_tmxlsMT4MKXZ29ZhMEBtxgkpA0oHlYxSUPCuz4ItJnG5wQvXodAl3NYjhJf-7awwOXIwPP5jmHokHND2eWhdmFCrLQvD51Ryr88bEfFflTHhTr5VbYEs4wZcb_3t9eqfXW5iyWJDGK7ZJjhCWckTPnkv92g5Gy90lTiJTXQc3MOSLiE-gBxT7NBJtdIGHTltYPrlmZXuUWZro7HrQynqssoPXK76YBNXxV25Ylquq1TgLb3pXr4WW7dJZeah8xpmwR6VpAv1SfkeNrc7X8G6ivNC4P9DoGZ-uOxGoyEyTh8yoO1yJl_MSgcQ4bnTOTNSmKCVym08vXdnIe7KCywTR06Cw37LpSfdRiFxg7rFiMPP5r-k17-FCKfGEScsNFJCQKbcUcJ94RvSUliCGUSjUqVlHJsgOwUHNLoCq7drc2APRlMzc1-dFeRmObRGjoVQv9sIVdWrEcS9csL2zodXvs83HYZNcrU1A7CemAc26sXKypMvRig7Y_oWAd8g6gI4KeVe0bZz6rpvmD9gRNSktP61cfHX965RfguRGz3lS677ZXO6plAItGbzyZhkfSS6CfjuF3PsA8KGBIz36DHKoiZjPR3blLmvjAJdrT899uvBfGyIUqo50TlPmiEZg5zF6wdk2hDnqwcrduCu7LMfxo",
          "id": "rs_068ed6fbcf094967016a077834f39481919f93af0b06ae220a",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_lIkwDXiurnC59ADL4eOqTZ3F",
          "call_id": "call_lIkwDXiurnC59ADL4eOqTZ3F",
          "response_item_id": "fc_068ed6fbcf094967016a07783578b48191b4c508dc0db33941",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.fx.providers import MockFxProvider\\nfrom jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\nfrom jarvis_finance.imports.instrument_candidates import stage_docx_candidates\",\"old_string\":\"from jarvis_finance.fx.providers import MockFxProvider\\nfrom jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -7,6 +7,7 @@\\n from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n from jarvis_finance.fx.providers import MockFxProvider\\n from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\n+from jarvis_finance.imports.instrument_candidates import stage_docx_candidates\\n from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_decision_pack, export_mapping_review_template, generate_mapping_candidates, recalculate_candidate_rankings\\n from jarvis_finance.market_data.catalog import prepare_catalog_from_instruments\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}",
      "tool_call_id": "call_lIkwDXiurnC59ADL4eOqTZ3F"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_WHaUkbRAmB1Q4UhmK4VdGFGp",
          "call_id": "call_WHaUkbRAmB1Q4UhmK4VdGFGp",
          "response_item_id": "fc_07ec612375305e71016a07783cc448819198021120cd9ea9ca",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    q = sub.add_parser(\\\"stage-instrument-candidates\\\")\\n    q.add_argument(\\\"files\\\", nargs=\\\"+\\\", help=\\\"Broker DOCX files outside git repo\\\")\\n    q.add_argument(\\\"--qwen\\\", action=\\\"store_true\\\")\\n    q.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    q.add_argument(\\\"--allow-repo-files\\\", action=\\\"store_true\\\")\\n    sub.add_parser(\\\"backup-runtime-db\\\")\",\"old_string\":\"    sub.add_parser(\\\"backup-runtime-db\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -77,6 +77,11 @@\\n     rank_candidates.add_argument(\\\"--export-decision-pack\\\", action=\\\"store_true\\\")\\n     rank_candidates.add_argument(\\\"--decision-pack-path\\\")\\n     rank_candidates.add_argument(\\\"--top-n\\\", type=int, default=5)\\n+    q = sub.add_parser(\\\"stage-instrument-candidates\\\")\\n+    q.add_argument(\\\"files\\\", nargs=\\\"+\\\", help=\\\"Broker DOCX files outside git repo\\\")\\n+    q.add_argument(\\\"--qwen\\\", action=\\\"store_true\\\")\\n+    q.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n+    q.add_argument(\\\"--allow-repo-files\\\", action=\\\"store_true\\\")\\n     sub.add_parser(\\\"backup-runtime-db\\\")\\n     restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n     restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_WHaUkbRAmB1Q4UhmK4VdGFGp"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_g5qEk1bkmNPWRkG71hncPkTQ",
          "call_id": "call_g5qEk1bkmNPWRkG71hncPkTQ",
          "response_item_id": "fc_0768a34b646aff40016a0778434bf0819193d36c1eb82242cd",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    if args.command == \\\"stage-instrument-candidates\\\":\\n        settings = load_settings()\\n        ensure_runtime_dirs(settings)\\n        repo_root = Path.cwd().resolve()\\n        files = [Path(f).expanduser().resolve() for f in args.files]\\n        if not args.allow_repo_files:\\n            for f in files:\\n                try:\\n                    f.relative_to(repo_root)\\n                    parser.error(\\\"Broker files must stay outside git repo; pass runtime import paths, not repo files\\\")\\n                except ValueError:\\n                    pass\\n        conn = connect(settings.db_path)\\n        try:\\n            apply_migrations(conn)\\n            result = stage_docx_candidates(conn, files, use_qwen=args.qwen, dry_run=args.dry_run)\\n            print(\\n                \\\"INSTRUMENT_CANDIDATE_STAGING \\\"\\n                f\\\"candidates_total={result.candidates_total} with_isin={result.with_isin} without_isin={result.without_isin} \\\"\\n                f\\\"with_ticker={result.with_ticker} with_currency={result.with_currency} \\\"\\n                f\\\"exact_isin_match={result.exact_isin_match} probable={result.probable} needs_manual_review={result.needs_manual_review} \\\"\\n                f\\\"confirmed={result.confirmed} importable_confirmed={result.importable_confirmed} blocked={result.blocked} \\\"\\n                f\\\"qwen_requested={str(args.qwen).lower()} qwen_used={str(result.qwen_used).lower()} qwen_available={str(result.qwen_available).lower()} \\\"\\n                f\\\"parser_qwen_agree={result.parser_qwen_agree} parser_qwen_disagree={result.parser_qwen_disagree} \\\"\\n                f\\\"warnings={result.warnings} errors={result.errors} dry_run={str(result.dry_run).lower()}\\\"\\n            )\\n            return 1 if result.errors else 0\\n        finally:\\n            conn.close()\\n    if args.command == \\\"check-data-quality\\\":\",\"old_string\":\"    if args.command == \\\"check-data-quality\\\":\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -294,6 +294,35 @@\\n             return 0\\n         finally:\\n             conn.close()\\n+    if args.command == \\\"stage-instrument-candidates\\\":\\n+        settings = load_settings()\\n+        ensure_runtime_dirs(settings)\\n+        repo_root = Path.cwd().resolve()\\n+        files = [Path(f).expanduser().resolve() for f in args.files]\\n+        if not args.allow_repo_files:\\n+            for f in files:\\n+                try:\\n+                    f.relative_to(repo_root)\\n+                    parser.error(\\\"Broker files must stay outside git repo; pass runtime import paths, not repo files\\\")\\n+                except ValueError:\\n+                    pass\\n+        conn = connect(settings.db_path)\\n+        try:\\n+            apply_migrations(conn)\\n+            result = stage_docx_candidates(conn, files, use_qwen=args.qwen, dry_run=args.dry_run)\\n+            print(\\n+                \\\"INSTRUMENT_CANDIDATE_STAGING \\\"\\n+                f\\\"candidates_total={result.candidates_total} with_isin={result.with_isin} without_isin={result.without_isin} \\\"\\n+                f\\\"with_ticker={result.with_ticker} with_currency={result.with_currency} \\\"\\n+                f\\\"exact_isin_match={result.exact_isin_match} probable={result.probable} needs_manual_review={result.needs_manual_review} \\\"\\n+                f\\\"confirmed={result.confirmed} importable_confirmed={result.importable_confirmed} blocked={result.blocked} \\\"\\n+                f\\\"qwen_requested={str(args.qwen).lower()} qwen_used={str(result.qwen_used).lower()} qwen_available={str(result.qwen_available).lower()} \\\"\\n+                f\\\"parser_qwen_agree={result.parser_qwen_agree} parser_qwen_disagree={result.parser_qwen_disagree} \\\"\\n+                f\\\"warnings={result.warnings} errors={result.errors} dry_run={str(result.dry_run).lower()}\\\"\\n+            )\\n+            return 1 if result.errors else 0\\n+        finally:\\n+            conn.close()\\n     if args.command == \\\"check-data-quality\\\":\\n         settings = load_settings()\\n         ensure_runtime_dirs(settings)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\\">\\nERROR [312:50] Argument of type \\\"list[Path]\\\" cannot be assigned to parameter \\\"files\\\" of type \\\"list[str | Path]\\\" in function \\\"stage_docx_candidates\\\"\\n  \\\"list[Path]\\\" is not assignable to \\\"list[str | Path]\\\"\\n    Type parameter \\\"_T@list\\\" is invariant, but \\\"Path\\\" is not the same as \\\"str | Path\\\"\\n    Consider switching from \\\"list\\\" to \\\"Sequence\\\" which is covariant [reportArgumentType] (Pyright)\\n</diagnostics>\"}",
      "tool_call_id": "call_g5qEk1bkmNPWRkG71hncPkTQ"
    },
    {
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      "content": "",
      "reasoning": null,
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          "id": "rs_0da59d8cd4ab95c2016a07784fde7c8191b98c20835081148c",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_j8j8JHK1nKs6Pa5SpIH8tjRf",
          "call_id": "call_j8j8JHK1nKs6Pa5SpIH8tjRf",
          "response_item_id": "fc_0da59d8cd4ab95c2016a0778505e6c81918f6e90e3e1c9f45a",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"from pathlib import Path\\nfrom sqlite3 import Connection\\nfrom typing import Sequence\",\"old_string\":\"from pathlib import Path\\nfrom sqlite3 import Connection\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -9,6 +9,7 @@\\n from decimal import Decimal, InvalidOperation\\n from pathlib import Path\\n from sqlite3 import Connection\\n+from typing import Sequence\\n from urllib import request, error\\n import xml.etree.ElementTree as ET\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_j8j8JHK1nKs6Pa5SpIH8tjRf"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_4i6NkhgqnOLo7N13u66tO78x",
          "call_id": "call_4i6NkhgqnOLo7N13u66tO78x",
          "response_item_id": "fc_0927c8647affbe47016a077855649c8191b4214b7a8798aba5",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def stage_docx_candidates(conn: Connection, files: Sequence[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\",\"old_string\":\"def stage_docx_candidates(conn: Connection, files: list[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -264,7 +264,7 @@\\n     return cid\\n \\n \\n-def stage_docx_candidates(conn: Connection, files: list[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\\n+def stage_docx_candidates(conn: Connection, files: Sequence[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\\n     qwen_used = False\\n     qwen_available = False\\n     parser_signatures: set[tuple[str, str, str]] = set()\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_4i6NkhgqnOLo7N13u66tO78x"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Checking XML tests**\n\nI need to conduct some tests using the XML docx helper. I’m considering whether to import the page_13 path or if that might interfere with importing pages—there’s definitely a package structure I need to clarify. It's a bit tricky since I want to ensure everything works smoothly without throwing errors. I’ll take a closer look to confirm the best approach here. It's essential to get this right for the project!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking XML tests**\n\nI need to conduct some tests using the XML docx helper. I’m considering whether to import the page_13 path or if that might interfere with importing pages—there’s definitely a package structure I need to clarify. It's a bit tricky since I want to ensure everything works smoothly without throwing errors. I’ll take a closer look to confirm the best approach here. It's essential to get this right for the project!",
      "codex_reasoning_items": [
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          "id": "rs_00ed4d1c253641ad016a07785b40108191af92f47cc06ca40d",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Checking XML tests**\n\nI need to conduct some tests using the XML docx helper. I’m considering whether to import the page_13 path or if that might interfere with importing pages—there’s definitely a package structure I need to clarify. It's a bit tricky since I want to ensure everything works smoothly without throwing errors. I’ll take a closer look to confirm the best approach here. It's essential to get this right for the project!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_bKDgS5E35nq45gdCHcnePEuB",
          "call_id": "call_bKDgS5E35nq45gdCHcnePEuB",
          "response_item_id": "fc_00ed4d1c253641ad016a07785f6964819189f25937da6709d4",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"content\":\"from __future__ import annotations\\n\\nimport zipfile\\nfrom pathlib import Path\\n\\nimport pytest\\n\\nfrom jarvis_finance.imports.instrument_candidates import (\\n    CandidateInput,\\n    confirm_candidate,\\n    deterministic_parse_docx,\\n    import_confirmed_candidate_snapshot,\\n    qwen_extract_candidates,\\n    resolve_candidate,\\n    stage_docx_candidates,\\n    upsert_candidate,\\n)\\nfrom jarvis_finance.market_data.catalog import CatalogEntryInput, upsert_catalog_entry\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations\\n\\n\\ndef setup_conn():\\n    conn = connect_memory()\\n    apply_migrations(conn)\\n    conn.execute(\\\"INSERT INTO platforms(platform_id,name,platform_type,default_currency,created_at) VALUES('p1','PostFinance','broker','CHF','now')\\\")\\n    conn.execute(\\\"INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Depot','brokerage','CHF','now')\\\")\\n    return conn\\n\\n\\ndef make_docx(path: Path, lines: list[str]) -> Path:\\n    body = \\\"\\\".join(f\\\"<w:p><w:r><w:t>{line}</w:t></w:r></w:p>\\\" for line in lines)\\n    xml = f'''<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"yes\\\"?>\\n<w:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"><w:body>{body}</w:body></w:document>'''\\n    with zipfile.ZipFile(path, \\\"w\\\") as zf:\\n        zf.writestr(\\\"word/document.xml\\\", xml)\\n    return path\\n\\n\\ndef candidate(**overrides) -> CandidateInput:\\n    data = dict(\\n        source_file=\\\"broker.docx\\\",\\n        platform=\\\"postfinance\\\",\\n        source_row_number=\\\"1\\\",\\n        raw_name=\\\"Sample ETF\\\",\\n        raw_ticker=\\\"SAMP\\\",\\n        raw_isin=\\\"\\\",\\n        raw_currency=\\\"CHF\\\",\\n        raw_quantity=\\\"1.2345\\\",\\n        raw_asset_class=\\\"etf\\\",\\n        proposed_name=\\\"Sample ETF\\\",\\n        proposed_ticker=\\\"SAMP\\\",\\n        proposed_currency=\\\"CHF\\\",\\n        proposed_asset_class=\\\"etf\\\",\\n        mapping_status=\\\"needs_manual_review\\\",\\n    )\\n    data.update(overrides)\\n    return CandidateInput(**data)\\n\\n\\ndef test_deterministic_parser_creates_candidates(tmp_path: Path) -> None:\\n    docx = make_docx(tmp_path / \\\"Postfinance.docx\\\", [\\\"Sample ETF CH0000000001 CHF 12.345\\\"])\\n    rows = deterministic_parse_docx(docx, platform=\\\"postfinance\\\")\\n    assert len(rows) == 1\\n    assert rows[0].raw_isin == \\\"CH0000000001\\\"\\n    assert rows[0].mapping_status == \\\"exact_isin_match\\\"\\n\\n\\ndef test_qwen_extraction_creates_only_candidates_no_bookings(monkeypatch) -> None:\\n    class FakeResponse:\\n        def __enter__(self): return self\\n        def __exit__(self, *args): return False\\n        def read(self):\\n            return b'{\\\"choices\\\":[{\\\"message\\\":{\\\"content\\\":\\\"{\\\\\\\\\\\\\\\"positions\\\\\\\\\\\\\\\":[{\\\\\\\\\\\\\\\"name\\\\\\\\\\\\\\\":\\\\\\\\\\\\\\\"Q ETF\\\\\\\\\\\\\\\",\\\\\\\\\\\\\\\"ticker\\\\\\\\\\\\\\\":\\\\\\\\\\\\\\\"QETF\\\\\\\\\\\\\\\",\\\\\\\\\\\\\\\"currency\\\\\\\\\\\\\\\":\\\\\\\\\\\\\\\"CHF\\\\\\\\\\\\\\\",\\\\\\\\\\\\\\\"quantity\\\\\\\\\\\\\\\":\\\\\\\\\\\\\\\"1.23\\\\\\\\\\\\\\\",\\\\\\\\\\\\\\\"asset_class\\\\\\\\\\\\\\\":\\\\\\\\\\\\\\\"etf\\\\\\\\\\\\\\\",\\\\\\\\\\\\\\\"row_number\\\\\\\\\\\\\\\":2,\\\\\\\\\\\\\\\"confidence\\\\\\\\\\\\\\\":\\\\\\\\\\\\\\\"medium\\\\\\\\\\\\\\\"}]}\\\"}}]}'\\n    monkeypatch.setattr(\\\"jarvis_finance.imports.instrument_candidates.request.urlopen\\\", lambda *a, **k: FakeResponse())\\n    conn = setup_conn()\\n    rows, available = qwen_extract_candidates([\\\"Q ETF CHF 1.23\\\"], source_file=\\\"True.docx\\\", platform=\\\"true_wealth\\\")\\n    assert available is True\\n    assert len(rows) == 1\\n    upsert_candidate(conn, rows[0])\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_import_candidates\\\").fetchone()[\\\"c\\\"] == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM transactions\\\").fetchone()[\\\"c\\\"] == 0\\n\\n\\ndef test_candidate_without_isin_stays_needs_manual_review() -> None:\\n    conn = setup_conn()\\n    cid = upsert_candidate(conn, candidate(raw_isin=\\\"\\\", proposed_isin=\\\"\\\", proposed_exchange=\\\"\\\"))\\n    result = resolve_candidate(conn, cid)\\n    assert result[\\\"mapping_status\\\"] == \\\"needs_manual_review\\\"\\n\\n\\ndef test_candidate_with_isin_can_be_exact_isin_match() -> None:\\n    conn = setup_conn()\\n    upsert_catalog_entry(conn, CatalogEntryInput(asset_class=\\\"etf\\\", name=\\\"Sample ETF\\\", isin=\\\"CH0000000001\\\", ticker=\\\"SAMP\\\", exchange=\\\"SWX\\\", trading_currency=\\\"CHF\\\", instrument_currency=\\\"CHF\\\"), note=\\\"test\\\")\\n    cid = upsert_candidate(conn, candidate(raw_isin=\\\"CH0000000001\\\", proposed_isin=\\\"CH0000000001\\\"))\\n    result = resolve_candidate(conn, cid)\\n    assert result[\\\"mapping_status\\\"] == \\\"exact_isin_match\\\"\\n\\n\\ndef test_ticker_alone_does_not_confirm_or_import() -> None:\\n    conn = setup_conn()\\n    cid = upsert_candidate(conn, candidate(raw_isin=\\\"\\\", proposed_isin=\\\"\\\", proposed_exchange=\\\"\\\", proposed_ticker=\\\"SAMP\\\"))\\n    with pytest.raises(ValueError):\\n        confirm_candidate(conn, cid, note=\\\"manual review confirms\\\", proposed_ticker=\\\"SAMP\\\")\\n    with pytest.raises(ValueError):\\n        import_confirmed_candidate_snapshot(conn, cid, account_id=\\\"a1\\\", snapshot_date=\\\"2025-12-31\\\", note=\\\"no\\\", confirm=True)\\n\\n\\ndef test_manual_confirmation_sets_confirmed() -> None:\\n    conn = setup_conn()\\n    cid = upsert_candidate(conn, candidate())\\n    confirm_candidate(conn, cid, note=\\\"manual review confirms\\\", proposed_ticker=\\\"SAMP\\\", proposed_exchange=\\\"SWX\\\", proposed_currency=\\\"CHF\\\")\\n    row = conn.execute(\\\"SELECT mapping_status FROM instrument_import_candidates WHERE candidate_id=?\\\", (cid,)).fetchone()\\n    assert row[\\\"mapping_status\\\"] == \\\"confirmed\\\"\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='confirm_candidate'\\\").fetchone()[\\\"c\\\"] == 1\\n\\n\\ndef test_confirmed_candidate_can_create_initial_snapshot_with_uncertain_cost_basis() -> None:\\n    conn = setup_conn()\\n    cid = upsert_candidate(conn, candidate(raw_isin=\\\"CH0000000001\\\", proposed_isin=\\\"CH0000000001\\\"))\\n    confirm_candidate(conn, cid, note=\\\"manual review confirms\\\", proposed_isin=\\\"CH0000000001\\\", proposed_ticker=\\\"SAMP\\\", proposed_exchange=\\\"SWX\\\", proposed_currency=\\\"CHF\\\")\\n    tx_id = import_confirmed_candidate_snapshot(conn, cid, account_id=\\\"a1\\\", snapshot_date=\\\"2025-12-31\\\", note=\\\"approved import\\\", confirm=True)\\n    row = conn.execute(\\\"SELECT transaction_type, source_type, quantity FROM transactions WHERE transaction_id=?\\\", (tx_id,)).fetchone()\\n    assert row[\\\"transaction_type\\\"] == \\\"initial_position_snapshot\\\"\\n    assert row[\\\"source_type\\\"] == \\\"broker_import_reviewed_snapshot\\\"\\n    assert row[\\\"quantity\\\"] == \\\"1.2345\\\"\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='cost_basis_uncertain'\\\").fetchone()[\\\"c\\\"] == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='import_confirmed_candidate_snapshot'\\\").fetchone()[\\\"c\\\"] == 1\\n\\n\\ndef test_unconfirmed_candidate_cannot_productively_import() -> None:\\n    conn = setup_conn()\\n    cid = upsert_candidate(conn, candidate())\\n    with pytest.raises(ValueError):\\n        import_confirmed_candidate_snapshot(conn, cid, account_id=\\\"a1\\\", snapshot_date=\\\"2025-12-31\\\", note=\\\"blocked\\\", confirm=True)\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM transactions\\\").fetchone()[\\\"c\\\"] == 0\\n\\n\\ndef test_stage_docx_candidates_dry_run_writes_no_rows(tmp_path: Path) -> None:\\n    conn = setup_conn()\\n    docx = make_docx(tmp_path / \\\"True_Wealth.docx\\\", [\\\"Sample ETF CH0000000001 CHF 12.345\\\"])\\n    result = stage_docx_candidates(conn, [docx], dry_run=True)\\n    assert result.candidates_total == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_import_candidates\\\").fetchone()[\\\"c\\\"] == 0\\n\\n\\ndef test_no_real_data_in_repo_git_safety_placeholder(tmp_path: Path) -> None:\\n    repo_docx = tmp_path / \\\"repo\\\" / \\\"broker.docx\\\"\\n    repo_docx.parent.mkdir()\\n    make_docx(repo_docx, [\\\"Synthetic ETF CH0000000001 CHF 1\\\"])\\n    # The module can parse synthetic fixtures, while the CLI blocks repo files unless explicitly allowed.\\n    assert deterministic_parse_docx(repo_docx, platform=\\\"test\\\")\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_instrument_import_candidates.py\"}"
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      "content": "{\"output\": \"Listing 'src'...\\nListing 'src/jarvis_finance'...\\nCompiling 'src/jarvis_finance/app.py'...\\nListing 'src/jarvis_finance/audit'...\\nCompiling 'src/jarvis_finance/audit/decorators.py'...\\nCompiling 'src/jarvis_finance/audit/validators.py'...\\nListing 'src/jarvis_finance/cli'...\\nCompiling 'src/jarvis_finance/cli/main.py'...\\nListing 'src/jarvis_finance/config'...\\nCompiling 'src/jarvis_finance/config/logging.py'...\\nListing 'src/jarvis_finance/crypto'...\\nCompiling 'src/jarvis_finance/crypto/assets.py'...\\nCompiling 'src/jarvis_finance/crypto/manage.py'...\\nCompiling 'src/jarvis_finance/crypto/transactions.py'...\\nCompiling 'src/jarvis_finance/crypto/validators.py'...\\nCompiling 'src/jarvis_finance/crypto/valuation.py'...\\nCompiling 'src/jarvis_finance/crypto/wallets.py'...\\nListing 'src/jarvis_finance/dashboard'...\\nCompiling 'src/jarvis_finance/dashboard/actions.py'...\\nListing 'src/jarvis_finance/dashboard/components'...\\nCompiling 'src/jarvis_finance/dashboard/components/__init__.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/charts.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/forms.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/tables.py'...\\nCompiling 'src/jarvis_finance/dashboard/components/warnings.py'...\\nCompiling 'src/jarvis_finance/dashboard/data.py'...\\nCompiling 'src/jarvis_finance/dashboard/demo_data.py'...\\nCompiling 'src/jarvis_finance/dashboard/main.py'...\\nListing 'src/jarvis_finance/dashboard/pages'...\\nCompiling 'src/jarvis_finance/dashboard/pages/__init__.py'...\\nListing 'src/jarvis_finance/dashboard/views'...\\nCompiling 'src/jarvis_finance/dashboard/views/__init__.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_00_command_center.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_01_portfolio.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_02_platforms.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_03_equities_etfs.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_04_crypto.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_05_wallets.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_06_ledger.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_07_watchlist.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_08_reports.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_09_alerts.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_10_audit.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_11_settings_data_quality.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_12_crypto_manage.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_13_equity_manage.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_14_import_wizard.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_15_manual_review_queue.py'...\\nCompiling 'src/jarvis_finance/dashboard/views/page_16_data_quality_center.py'...\\nListing 'src/jarvis_finance/equity'...\\nCompiling 'src/jarvis_finance/equity/__init__.py'...\\nCompiling 'src/jarvis_finance/equity/manage.py'...\\nListing 'src/jarvis_finance/fx'...\\nCompiling 'src/jarvis_finance/fx/conversion.py'...\\nCompiling 'src/jarvis_finance/fx/overrides.py'...\\nListing 'src/jarvis_finance/imports'...\\nCompiling 'src/jarvis_finance/imports/accounts_importer.py'...\\nCompiling 'src/jarvis_finance/imports/broker_mapping.py'...\\nCompiling 'src/jarvis_finance/imports/broker_parsers.py'...\\nCompiling 'src/jarvis_finance/imports/cash_balances_importer.py'...\\nCompiling 'src/jarvis_finance/imports/crypto_holdings_importer.py'...\\nCompiling 'src/jarvis_finance/imports/crypto_transactions_importer.py'...\\nCompiling 'src/jarvis_finance/imports/crypto_wallets_importer.py'...\\nCompiling 'src/jarvis_finance/imports/csv_dialect.py'...\\nCompiling 'src/jarvis_finance/imports/dry_run.py'...\\nCompiling 'src/jarvis_finance/imports/execution.py'...\\nCompiling 'src/jarvis_finance/imports/instrument_candidates.py'...\\nCompiling 'src/jarvis_finance/imports/instruments_importer.py'...\\nCompiling 'src/jarvis_finance/imports/row_hash.py'...\\nCompiling 'src/jarvis_finance/imports/transactions_importer.py'...\\nCompiling 'src/jarvis_finance/imports/validators.py'...\\nCompiling 'src/jarvis_finance/imports/watchlist_importer.py'...\\nListing 'src/jarvis_finance/ledger'...\\nCompiling 'src/jarvis_finance/ledger/corrections.py'...\\nCompiling 'src/jarvis_finance/ledger/performance.py'...\\nCompiling 'src/jarvis_finance/ledger/transactions.py'...\\nCompiling 'src/jarvis_finance/ledger/validators.py'...\\nListing 'src/jarvis_finance/market'...\\nListing 'src/jarvis_finance/market_data'...\\nCompiling 'src/jarvis_finance/market_data/cache.py'...\\nCompiling 'src/jarvis_finance/market_data/coingecko.py'...\\nCompiling 'src/jarvis_finance/market_data/providers.py'...\\nCompiling 'src/jarvis_finance/market_data/staleness.py'...\\nListing 'src/jarvis_finance/models'...\\nCompiling 'src/jarvis_finance/models/__init__.py'...\\nCompiling 'src/jarvis_finance/models/datatypes.py'...\\nCompiling 'src/jarvis_finance/models/dto.py'...\\nCompiling 'src/jarvis_finance/models/enums.py'...\\nListing 'src/jarvis_finance/quality'...\\nCompiling 'src/jarvis_finance/quality/checks.py'...\\nCompiling 'src/jarvis_finance/quality/rules.py'...\\nListing 'src/jarvis_finance/reports'...\\nCompiling 'src/jarvis_finance/reports/crypto_pdf.py'...\\nCompiling 'src/jarvis_finance/reports/metadata.py'...\\nCompiling 'src/jarvis_finance/reports/render.py'...\\nListing 'src/jarvis_finance/reports/templates'...\\nCompiling 'src/jarvis_finance/reports/templates/__init__.py'...\\nListing 'src/jarvis_finance/runtime'...\\nListing 'src/jarvis_finance/storage'...\\nCompiling 'src/jarvis_finance/storage/migrations.py'...\\nCompiling 'src/jarvis_finance/storage/repositories.py'...\\nCompiling 'src/jarvis_finance/storage/units_of_work.py'...\\nListing 'src/jarvis_finance.egg-info'...\\nListing 'tests'...\\nCompiling 'tests/conftest.py'...\\nListing 'tests/fixtures'...\\nListing 'tests/integration'...\\nCompiling 'tests/integration/test_dummy_data_load.py'...\\nCompiling 'tests/integration/test_end_to_end_dummy_portfolio.py'...\\nListing 'tests/unit'...\\nCompiling 'tests/unit/test_audit.py'...\\nCompiling 'tests/unit/test_broker_mapping_import_wizard.py'...\\nCompiling 'tests/unit/test_broker_parser_dry_run_pipeline.py'...\\nCompiling 'tests/unit/test_coingecko_provider.py'...\\nCompiling 'tests/unit/test_crypto.py'...\\nCompiling 'tests/unit/test_crypto_core.py'...\\nCompiling 'tests/unit/test_crypto_manage.py'...\\nCompiling 'tests/unit/test_crypto_price_update.py'...\\nCompiling 'tests/unit/test_crypto_report.py'...\\nCompiling 'tests/unit/test_csv_importers_extended.py'...\\nCompiling 'tests/unit/test_dashboard_functional_ux_stabilization.py'...\\nCompiling 'tests/unit/test_dashboard_mvp.py'...\\nCompiling 'tests/unit/test_dashboard_usability_simplification.py'...\\nCompiling 'tests/unit/test_dashboard_ux_sprint2.py'...\\nCompiling 'tests/unit/test_data_quality_alert_lifecycle.py'...\\nCompiling 'tests/unit/test_equity_manage.py'...\\nCompiling 'tests/unit/test_fx.py'...\\nCompiling 'tests/unit/test_fx_logic.py'...\\nCompiling 'tests/unit/test_fx_market_data_phase_c.py'...\\nCompiling 'tests/unit/test_git_safety.py'...\\nCompiling 'tests/unit/test_import_execution_and_corrections.py'...\\nCompiling 'tests/unit/test_importers_instruments.py'...\\nCompiling 'tests/unit/test_importers_platforms_accounts.py'...\\nCompiling 'tests/unit/test_imports.py'...\\nCompiling 'tests/unit/test_instrument_catalog_manual_add.py'...\\nCompiling 'tests/unit/test_instrument_import_candidates.py'...\\nCompiling 'tests/unit/test_ledger_cash.py'...\\nCompiling 'tests/unit/test_ledger_cash_wac_positions.py'...\\nCompiling 'tests/unit/test_ledger_equities.py'...\\nCompiling 'tests/unit/test_market_alerts.py'...\\nCompiling 'tests/unit/test_quality.py'...\\nCompiling 'tests/unit/test_row_hash_dedup.py'...\\nCompiling 'tests/unit/test_runtime_backup.py'...\\nCompiling 'tests/unit/test_schema.py'...\\nCompiling 'tests/unit/test_settings.py'...\\nCompiling 'tests/unit/test_transactions_importer.py'...\\nCompiling 'tests/unit/test_true_wealth_mapping_candidates_c3.py'...\\nCompiling 'tests/unit/test_true_wealth_mapping_candidates_c3d.py'...\\nCompiling 'tests/unit/test_true_wealth_valuation_pilot.py'...\\n......................                                                   [100%]\\n22 passed in 0.52s\", \"exit_code\": 0, \"error\": null}",
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          "id": "rs_066574af3254ae17016a077895013881918c893f942f0dcb8c",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_3WlI1oESprfuazuIk7k9dVkv",
          "call_id": "call_3WlI1oESprfuazuIk7k9dVkv",
          "response_item_id": "fc_066574af3254ae17016a077895c23c8191bd67bec6e29f8759",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"PYTHONPATH=src python -m jarvis_finance.cli.main stage-instrument-candidates \\\\\\n  /home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_True_Wealth.docx \\\\\\n  /home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_Postfinance.docx \\\\\\n  --qwen --dry-run\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"INSTRUMENT_CANDIDATE_STAGING candidates_total=1 with_isin=0 without_isin=0 with_ticker=0 with_currency=0 exact_isin_match=0 probable=0 needs_manual_review=0 confirmed=0 importable_confirmed=0 blocked=0 qwen_requested=true qwen_used=false qwen_available=false parser_qwen_agree=0 parser_qwen_disagree=0 warnings=0 errors=0 dry_run=true\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_3WlI1oESprfuazuIk7k9dVkv"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Improving summary process**\n\nI’m noticing a bug with the dry summary where it’s too strict with only one candidate found, while there were previously 42. I need to inspect the extracted lines that don't have values. Maybe I could count programmatically, avoiding raw outputs and focusing on sanitized data. I should also consider improving the parser by inspecting the structure of docx lines, like separating table lines. Using some form of execution to categorize lines could help too.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Improving summary process**\n\nI’m noticing a bug with the dry summary where it’s too strict with only one candidate found, while there were previously 42. I need to inspect the extracted lines that don't have values. Maybe I could count programmatically, avoiding raw outputs and focusing on sanitized data. I should also consider improving the parser by inspecting the structure of docx lines, like separating table lines. Using some form of execution to categorize lines could help too.",
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          "id": "rs_0746ab4afbee5915016a07789a772c8191a8f17eef9068e0b3",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Improving summary process**\n\nI’m noticing a bug with the dry summary where it’s too strict with only one candidate found, while there were previously 42. I need to inspect the extracted lines that don't have values. Maybe I could count programmatically, avoiding raw outputs and focusing on sanitized data. I should also consider improving the parser by inspecting the structure of docx lines, like separating table lines. Using some form of execution to categorize lines could help too."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_R5YCZGJrEFBfevj80HaogMbY",
          "call_id": "call_R5YCZGJrEFBfevj80HaogMbY",
          "response_item_id": "fc_0746ab4afbee5915016a07789e5a808191a4afb114ee0f4ac1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from pathlib import Path\\nfrom jarvis_finance.imports.instrument_candidates import extract_docx_text, ISIN_RE, CURRENCY_RE, DECIMAL_RE\\nfiles=[Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_True_Wealth.docx'),Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_Postfinance.docx')]\\nfor f in files:\\n    lines=extract_docx_text(f)\\n    print('FILE', f.name, 'lines', len(lines), 'isin_lines', sum(bool(ISIN_RE.search(l.upper())) for l in lines), 'curr_lines', sum(bool(CURRENCY_RE.search(l.upper())) for l in lines), 'dec_lines', sum(bool(DECIMAL_RE.search(l)) for l in lines))\\n    for i,l in enumerate(lines[:80],1):\\n        red=ISIN_RE.sub('<ISIN>', l)\\n        red=DECIMAL_RE.sub('<NUM>', red)\\n        if ISIN_RE.search(l.upper()) or CURRENCY_RE.search(l.upper()) or 'Aktien' in l or 'ETF' in l or 'fonds' in l.lower():\\n            print(i, red[:160])\\n    print('---')\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"error\", \"output\": \"\\n--- stderr ---\\nTraceback (most recent call last):\\n  File \\\"/tmp/hermes_sandbox_ds7ftkil/script.py\\\", line 2, in <module>\\n    from jarvis_finance.imports.instrument_candidates import extract_docx_text, ISIN_RE, CURRENCY_RE, DECIMAL_RE\\nModuleNotFoundError: No module named 'jarvis_finance'\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.24, \"error\": \"Traceback (most recent call last):\\n  File \\\"/tmp/hermes_sandbox_ds7ftkil/script.py\\\", line 2, in <module>\\n    from jarvis_finance.imports.instrument_candidates import extract_docx_text, ISIN_RE, CURRENCY_RE, DECIMAL_RE\\nModuleNotFoundError: No module named 'jarvis_finance'\\n\"}",
      "tool_call_id": "call_R5YCZGJrEFBfevj80HaogMbY"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_HFyRGY2vXf1UXwquSUEIs8w9",
          "call_id": "call_HFyRGY2vXf1UXwquSUEIs8w9",
          "response_item_id": "fc_0af2d3f29d5349d7016a0778a872fc8191ba00ab910e9b3b0b",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"import sys\\nsys.path.insert(0,'/home/agent/.hermes/repos/FinanceManager/src')\\nfrom pathlib import Path\\nfrom jarvis_finance.imports.instrument_candidates import extract_docx_text, ISIN_RE, CURRENCY_RE, DECIMAL_RE\\nfiles=[Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_True_Wealth.docx'),Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_Postfinance.docx')]\\nfor f in files:\\n    lines=extract_docx_text(f)\\n    print('FILE', f.name, 'lines', len(lines), 'isin_lines', sum(bool(ISIN_RE.search(l.upper())) for l in lines), 'curr_lines', sum(bool(CURRENCY_RE.search(l.upper())) for l in lines), 'dec_lines', sum(bool(DECIMAL_RE.search(l)) for l in lines))\\n    shown=0\\n    for i,l in enumerate(lines,1):\\n        if ISIN_RE.search(l.upper()) or CURRENCY_RE.search(l.upper()) or 'Aktien' in l or 'ETF' in l or 'fonds' in l.lower() or 'Position' in l:\\n            red=ISIN_RE.sub('<ISIN>', l)\\n            red=DECIMAL_RE.sub('<NUM>', red)\\n            print(i, red[:160])\\n            shown += 1\\n            if shown >= 30: break\\n    print('---')\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"FILE 260514_Portfolio_True_Wealth.docx lines 87 isin_lines 7 curr_lines 26 dec_lines 46\\n7 Kontostand (in CHF)Anteil\\n9 CHF <NUM>\\n10 CHF <NUM>\\n13 USD <NUM>\\n14 CHF <NUM>\\n17 CHF <NUM>\\n22 Positionswert\\n24 Vanguard Global ex-US Real Estate ETF\\n25 ISIN: <ISIN>\\n27 USD <NUM>\\n28 CHF <NUM>\\n31 CHF <NUM>\\n36 Positionswert\\n38 Swisscanto (CH) Gold ETF EA CHF\\n39 ISIN: <ISIN>\\n41 CHF <NUM>\\n42 CHF <NUM>\\n44 L&G Longer Dated All Commodities UCITS ETF\\n45 ISIN: <ISIN>\\n47 USD <NUM>\\n48 CHF <NUM>\\n51 CHF <NUM>\\n53 Aktien\\n56 Positionswert\\n58 Vanguard US Total Stock Market Shares Index ETF\\n59 ISIN: <ISIN>\\n61 USD <NUM>\\n62 CHF <NUM>\\n64 Vanguard FTSE Emerging Markets ETF\\n65 ISIN: <ISIN>\\n---\\nFILE 260514_Portfolio_Postfinance.docx lines 343 isin_lines 0 curr_lines 34 dec_lines 250\\n2 <NUM>/<NUM>/<NUM>6 <NUM>:<NUM>:<NUM>Konsolidiert in CHF\\n19 Kaufkraft<NUM>VermögensaufteilungVermögenTotalwertKonto %Bargeld<NUM>.<NUM>%Aktien<NUM>.<NUM>%ETFs<NUM>.<NUM>%VermögensaufteilungVermögenTotalwertKonto %Bargeld\\n28 Aktien\\n32 ETFs\\n44 Aktien\\n48 ETFs\\n56 EUR\\n66 Positionswert\\n68 Bewertung CHF\\n70 EUR\\n77 USD\\n84 Gesamt CHF\\n85 Positionen\\n98 G&V CHF\\n99 Totalwert CHF\\n100 Positionen %\\n101 Aktien\\n108 <NUM> USD\\n117 <NUM> USD\\n128 <NUM> EUR\\n138 <NUM> USD\\n148 <NUM> USD\\n153 Page <NUM>/<NUM> Positionen\\n160 G&V CHF\\n161 Totalwert CHF\\n162 Positionen %\\n168 <NUM> USD\\n178 <NUM> USD\\n187 <NUM> USD\\n197 <NUM> USD\\n---\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}",
      "tool_call_id": "call_HFyRGY2vXf1UXwquSUEIs8w9"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
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          "encrypted_content": "gAAAAABqB3i2toR7I159Um3XJMV-AusDX5QE_7qbp-beUMT8yruRYbxfosmoYWTqrQvJ97rTAR-qKvE6vEw8modyWAYexjgJMuzTCuXyyY5nC3jaGgf1SKT9gfFZMc-BWoJWHw31QC0pWN0Z4BYh2D19b8nyXR1OLlp8hwJThw9wMuGJUGjgpGXi2Z41oZCBqnKtwm5lt9f59048wUN4mkb9GF5jvWXyMuHsTIbBNAzFL9IdXxrDzMTN82dB3LxDJtPX8N29ThHoidhCMdn3qoROWhB7_o8t1Pfvz3yFtwj6eBoKRmtiiRO7YcX2S0XkA_it-yF9_WyUvCY5Vzh9pYtPMPBaoNU-aaLW5Cx07r4u4FGuKCKFZu9e0FrIsSHTeIbvaImAvgr2pCO0m20aD7o3U6O__pe9s53d6qmAX_rY-wRiwGX3P7n8s8BMs3VLscTCm-7Aw5Ux7mO56RKYbmdEws-05Mvxlf2V5vW_CW7lh6VXbm6V2hBFCN6lxi1aerzzPnZw_Lr-8GYrNUo0oqw4pix_FNT2SvxhXcsGoLsVJ4hikG-XWveWzKfs2Do_K19jOs7yMGRcl7-5tmYME48RtAYWiH2jwXWjPQX-gL6zQVWJJj5e8Y9vmu3kD2hGgGhROKB4XBjUmhsXYdkWSrTpZMD89ySQ_JzxvnDx4yuCzASfkCTJ-Pn-nro-LC7TSuy2i3UoBz-ENv2SS3-ouJTxhd17dYNdcOHPbFWKfE1OIfD2p3SFQl4vJy4UCzcxPBz3NFShvjb3KWngtOPEmSzZv2xMNoLZVxzVCn-YEsgS_xvSZH71CSohOxL2l1JA6Ub8eRwqVmYkXN60aWXau-qU7n5Jb4Pr0AMYUQAP2gjC19zBBM7zjj_6WIfhQyi7WntBHug7Mh_-drvBvqIBw1qyyRKVl5aKjR3WnRi-JrzkOeaYWCeEDyQ4NyorSmLk9UZvlmxVHuVOftunac670Gw5Z-2paTVmrreHyqmsOESnUt-DxgclLaOUUSzlNqljg6H4Jj9uAB-F7M8f5tsFfsxkOor4WaRfeI40jmneTTd3PZ-YY9jz5dsEfI9o_kh-dVKKC0wIKm4F",
          "id": "rs_0279d77a3d176cb5016a0778b4a50081919724c2c7de491f9e",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_5uFjtO4KBFkDMa7xPsDovK1j",
          "call_id": "call_5uFjtO4KBFkDMa7xPsDovK1j",
          "response_item_id": "fc_0279d77a3d176cb5016a0778b68f8c8191a6883c21e3e7d3b3",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"import sys,re\\nsys.path.insert(0,'/home/agent/.hermes/repos/FinanceManager/src')\\nfrom pathlib import Path\\nfrom jarvis_finance.imports.instrument_candidates import extract_docx_text, ISIN_RE, DECIMAL_RE\\nf=Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_Postfinance.docx')\\nlines=extract_docx_text(f)\\nfor i in range(100,230):\\n    l=lines[i-1]\\n    red=ISIN_RE.sub('<ISIN>', l); red=DECIMAL_RE.sub('<NUM>', red)\\n    print(i, red[:120])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"100 Positionen %\\n101 Aktien\\n102 ADBE\\n103 <NUM>\\n104 <NUM>\\n105 <NUM>\\n106 <NUM>\\n107 <NUM>%\\n108 <NUM> USD\\n109 <NUM> <NUM>%\\n110 <NUM>\\n111 <NUM>\\n112 ANET\\n113 <NUM>\\n114 <NUM>\\n115 <NUM>\\n116 <NUM> <NUM>%\\n117 <NUM> USD\\n118 <NUM>\\n119 <NUM>%\\n120 <NUM>\\n121 <NUM>\\n122 APC\\n123 <NUM>\\n124 <NUM>\\n125 <NUM>\\n126 <NUM>\\n127 <NUM>%\\n128 <NUM> EUR\\n129 <NUM> <NUM>%\\n130 <NUM>\\n131 <NUM>\\n132 APP\\n133 <NUM>\\n134 <NUM>\\n135 <NUM>\\n136 <NUM>\\n137 <NUM>%\\n138 <NUM> USD\\n139 <NUM>\\n140 <NUM>%\\n141 <NUM>\\n142 <NUM>\\n143 AVGO\\n144 <NUM>\\n145 <NUM>\\n146 <NUM>\\n147 <NUM> <NUM>%\\n148 <NUM> USD\\n149 <NUM>\\n150 <NUM>%\\n151 <NUM>\\n152 <NUM>\\n153 Page <NUM>/<NUM> Positionen\\n154 Produkt\\n155 Anzahl\\n156 Einstandskurs\\n157 Totalwert\\n158 Diff. Vortag\\n159 Geldkurs Währung\\n160 G&V CHF\\n161 Totalwert CHF\\n162 Positionen %\\n163 BABA\\n164 <NUM>\\n165 <NUM>\\n166 <NUM>\\n167 <NUM> <NUM>%\\n168 <NUM> USD\\n169 <NUM> <NUM>%\\n170 <NUM>\\n171 <NUM>\\n172 CRWD\\n173 <NUM>\\n174 <NUM>\\n175 <NUM>\\n176 <NUM>\\n177 <NUM>%\\n178 <NUM> USD\\n179 <NUM> <NUM>%\\n180 <NUM>\\n181 <NUM>\\n182 GOOG\\n183 <NUM>\\n184 <NUM>\\n185 <NUM>\\n186 <NUM> <NUM>%\\n187 <NUM> USD\\n188 <NUM> <NUM>%\\n189 <NUM>\\n190 <NUM>\\n191 MCD\\n192 <NUM>\\n193 <NUM>\\n194 <NUM>\\n195 <NUM>\\n196 <NUM>%\\n197 <NUM> USD\\n198 <NUM> <NUM>%\\n199 <NUM>\\n200 <NUM>\\n201 MSFT\\n202 <NUM>\\n203 <NUM>\\n204 <NUM>\\n205 <NUM>\\n206 <NUM>%\\n207 <NUM> USD\\n208 <NUM> <NUM>%\\n209 <NUM>\\n210 <NUM>\\n211 MU\\n212 <NUM>\\n213 <NUM>\\n214 <NUM>\\n215 <NUM>\\n216 <NUM>%\\n217 <NUM> USD\\n218 <NUM> <NUM>%\\n219 <NUM>\\n220 <NUM>\\n221 NOW\\n222 <NUM>\\n223 <NUM>\\n224 <NUM>\\n225 <NUM>\\n226 <NUM>%\\n227 <NUM> USD\\n228 <NUM>\\n229 <NUM>%\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}",
      "tool_call_id": "call_5uFjtO4KBFkDMa7xPsDovK1j"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def deterministic_parse_docx(path: str | Path, *, platform: str, account: str = \\\"\\\") -> list[CandidateInput]:\\n    lines = extract_docx_text(path)\\n    out: list[CandidateInput] = []\\n    seen: set[tuple[str, str, str]] = set()\\n\\n    def add(inp: CandidateInput) -> None:\\n        key = (inp.source_row_number, inp.raw_isin or inp.proposed_isin, inp.raw_ticker or inp.proposed_ticker)\\n        if key not in seen:\\n            seen.add(key)\\n            out.append(inp)\\n\\n    # True Wealth-style blocks: instrument name followed by explicit ISIN and currency/quantity nearby.\\n    for idx, line in enumerate(lines, start=1):\\n        raw = _norm_space(line)\\n        isin_match = ISIN_RE.search(raw.upper())\\n        if not isin_match:\\n            continue\\n        isin = isin_match.group(0)\\n        prev_candidates = [l for l in lines[max(0, idx - 5):idx - 1] if not any(x in l.upper() for x in (\\\"POSITIONSWERT\\\", \\\"ISIN\\\", \\\"CHF \\\", \\\"USD \\\", \\\"EUR \\\"))]\\n        name = _norm_space(prev_candidates[-1] if prev_candidates else raw.replace(isin, \\\"\\\"))[:240]\\n        window = \\\" \\\".join(lines[idx:min(len(lines), idx + 7)])\\n        curr_match = CURRENCY_RE.search(window.upper())\\n        currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n        ticker = _extract_ticker(name, isin, currency)\\n        add(CandidateInput(\\n            source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n            raw_name=name, raw_ticker=ticker, raw_isin=isin, raw_currency=currency,\\n            raw_quantity=_extract_quantity(window), raw_asset_class=_asset_class(name), extracted_by=\\\"deterministic_parser\\\",\\n            extraction_confidence=\\\"high\\\", proposed_name=name, proposed_ticker=ticker,\\n            proposed_isin=isin, proposed_currency=currency, proposed_asset_class=_asset_class(name),\\n            mapping_status=\\\"exact_isin_match\\\", review_note=\\\"deterministic DOCX staging candidate with source ISIN; no productive booking\\\",\\n        ))\\n\\n    # Fallback single-line extraction for synthetic/simple exports.\\n    for idx, line in enumerate(lines, start=1):\\n        if not _looks_position_line(line):\\n            continue\\n        raw = _norm_space(line)\\n        isin_match = ISIN_RE.search(raw.upper())\\n        isin = isin_match.group(0) if isin_match else \\\"\\\"\\n        curr_match = CURRENCY_RE.search(raw.upper())\\n        currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n        ticker = _extract_ticker(raw, isin, currency)\\n        name = DECIMAL_RE.sub(\\\" \\\", raw)\\n        if isin:\\n            name = name.replace(isin, \\\" \\\")\\n        if currency:\\n            name = re.sub(rf\\\"\\\\b{re.escape(currency)}\\\\b\\\", \\\" \\\", name, flags=re.I)\\n        name = _norm_space(name)[:240]\\n        status = \\\"exact_isin_match\\\" if isin else \\\"needs_manual_review\\\"\\n        confidence = \\\"high\\\" if isin else (\\\"medium\\\" if ticker and currency else \\\"low\\\")\\n        add(CandidateInput(\\n            source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n            raw_name=name or raw[:240], raw_ticker=ticker, raw_isin=isin, raw_currency=currency,\\n            raw_quantity=_extract_quantity(raw), raw_asset_class=_asset_class(raw), extracted_by=\\\"deterministic_parser\\\",\\n            extraction_confidence=confidence, proposed_name=name or raw[:240], proposed_ticker=ticker,\\n            proposed_isin=isin, proposed_currency=currency, proposed_asset_class=_asset_class(raw),\\n            mapping_status=status, review_note=\\\"deterministic DOCX staging candidate; no productive booking\\\",\\n        ))\\n\\n    # PostFinance-style split table: ticker-only rows under Produkt; never auto-confirm ticker-only rows.\\n    current_asset_class = \\\"equity\\\"\\n    in_positions = False\\n    headers = {\\\"PRODUKT\\\", \\\"ANZAHL\\\", \\\"EINSTANDSKURS\\\", \\\"TOTALWERT\\\", \\\"DIFF. VORTAG\\\", \\\"GELDKURS WÄHRUNG\\\", \\\"G&V CHF\\\", \\\"TOTALWERT CHF\\\", \\\"POSITIONEN %\\\"}\\n    for idx, line in enumerate(lines, start=1):\\n        up = _norm_space(line).upper()\\n        if up in {\\\"AKTIEN\\\", \\\"ETFS\\\", \\\"ETF\\\"}:\\n            current_asset_class = \\\"etf\\\" if \\\"ETF\\\" in up else \\\"equity\\\"\\n        if up == \\\"PRODUKT\\\":\\n            in_positions = True\\n            continue\\n        if not in_positions or up in headers or up.startswith(\\\"PAGE \\\"):\\n            continue\\n        if not re.fullmatch(r\\\"[A-Z][A-Z0-9.]{0,7}\\\", up):\\n            continue\\n        window = \\\" \\\".join(lines[idx:min(len(lines), idx + 9)])\\n        curr_match = CURRENCY_RE.search(window.upper())\\n        currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n        qty = _extract_quantity(\\\" \\\".join(lines[idx:idx + 3]))\\n        if not qty:\\n            continue\\n        add(CandidateInput(\\n            source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n            raw_name=up, raw_ticker=up, raw_isin=\\\"\\\", raw_currency=currency, raw_quantity=qty,\\n            raw_asset_class=current_asset_class, extracted_by=\\\"deterministic_parser\\\", extraction_confidence=\\\"medium\\\" if currency else \\\"low\\\",\\n            proposed_name=up, proposed_ticker=up, proposed_currency=currency, proposed_asset_class=current_asset_class,\\n            mapping_status=\\\"needs_manual_review\\\", review_note=\\\"ticker-only split-table candidate; manual ISIN/exchange review required\\\",\\n        ))\\n    return out\",\"old_string\":\"def deterministic_parse_docx(path: str | Path, *, platform: str, account: str = \\\"\\\") -> list[CandidateInput]:\\n    lines = extract_docx_text(path)\\n    out: list[CandidateInput] = []\\n    for idx, line in enumerate(lines, start=1):\\n        if not _looks_position_line(line):\\n            continue\\n        raw = _norm_space(line)\\n        isin_match = ISIN_RE.search(raw.upper())\\n        isin = isin_match.group(0) if isin_match else \\\"\\\"\\n        curr_match = CURRENCY_RE.search(raw.upper())\\n        currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n        ticker = _extract_ticker(raw, isin, currency)\\n        # Redact obvious numeric/value clutter from name; quantity is stored separately in staging only.\\n        name = DECIMAL_RE.sub(\\\" \\\", raw)\\n        if isin:\\n            name = name.replace(isin, \\\" \\\")\\n        if currency:\\n            name = re.sub(rf\\\"\\\\b{re.escape(currency)}\\\\b\\\", \\\" \\\", name, flags=re.I)\\n        name = _norm_space(name)[:240]\\n        status = \\\"exact_isin_match\\\" if isin else \\\"needs_manual_review\\\"\\n        confidence = \\\"high\\\" if isin else (\\\"medium\\\" if ticker and currency else \\\"low\\\")\\n        out.append(CandidateInput(\\n            source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n            raw_name=name or raw[:240], raw_ticker=ticker, raw_isin=isin, raw_currency=currency,\\n            raw_quantity=_extract_quantity(raw), raw_asset_class=_asset_class(raw), extracted_by=\\\"deterministic_parser\\\",\\n            extraction_confidence=confidence, proposed_name=name or raw[:240], proposed_ticker=ticker,\\n            proposed_isin=isin, proposed_currency=currency, proposed_asset_class=_asset_class(raw),\\n            mapping_status=status, review_note=\\\"deterministic DOCX staging candidate; no productive booking\\\",\\n        ))\\n    return out\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"}"
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      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -148,6 +148,37 @@\\n def deterministic_parse_docx(path: str | Path, *, platform: str, account: str = \\\"\\\") -> list[CandidateInput]:\\n     lines = extract_docx_text(path)\\n     out: list[CandidateInput] = []\\n+    seen: set[tuple[str, str, str]] = set()\\n+\\n+    def add(inp: CandidateInput) -> None:\\n+        key = (inp.source_row_number, inp.raw_isin or inp.proposed_isin, inp.raw_ticker or inp.proposed_ticker)\\n+        if key not in seen:\\n+            seen.add(key)\\n+            out.append(inp)\\n+\\n+    # True Wealth-style blocks: instrument name followed by explicit ISIN and currency/quantity nearby.\\n+    for idx, line in enumerate(lines, start=1):\\n+        raw = _norm_space(line)\\n+        isin_match = ISIN_RE.search(raw.upper())\\n+        if not isin_match:\\n+            continue\\n+        isin = isin_match.group(0)\\n+        prev_candidates = [l for l in lines[max(0, idx - 5):idx - 1] if not any(x in l.upper() for x in (\\\"POSITIONSWERT\\\", \\\"ISIN\\\", \\\"CHF \\\", \\\"USD \\\", \\\"EUR \\\"))]\\n+        name = _norm_space(prev_candidates[-1] if prev_candidates else raw.replace(isin, \\\"\\\"))[:240]\\n+        window = \\\" \\\".join(lines[idx:min(len(lines), idx + 7)])\\n+        curr_match = CURRENCY_RE.search(window.upper())\\n+        currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n+        ticker = _extract_ticker(name, isin, currency)\\n+        add(CandidateInput(\\n+            source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n+            raw_name=name, raw_ticker=ticker, raw_isin=isin, raw_currency=currency,\\n+            raw_quantity=_extract_quantity(window), raw_asset_class=_asset_class(name), extracted_by=\\\"deterministic_parser\\\",\\n+            extraction_confidence=\\\"high\\\", proposed_name=name, proposed_ticker=ticker,\\n+            proposed_isin=isin, proposed_currency=currency, proposed_asset_class=_asset_class(name),\\n+            mapping_status=\\\"exact_isin_match\\\", review_note=\\\"deterministic DOCX staging candidate with source ISIN; no productive booking\\\",\\n+        ))\\n+\\n+    # Fallback single-line extraction for synthetic/simple exports.\\n     for idx, line in enumerate(lines, start=1):\\n         if not _looks_position_line(line):\\n             continue\\n@@ -157,7 +188,6 @@\\n         curr_match = CURRENCY_RE.search(raw.upper())\\n         currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n         ticker = _extract_ticker(raw, isin, currency)\\n-        # Redact obvious numeric/value clutter from name; quantity is stored separately in staging only.\\n         name = DECIMAL_RE.sub(\\\" \\\", raw)\\n         if isin:\\n             name = name.replace(isin, \\\" \\\")\\n@@ -166,13 +196,42 @@\\n         name = _norm_space(name)[:240]\\n         status = \\\"exact_isin_match\\\" if isin else \\\"needs_manual_review\\\"\\n         confidence = \\\"high\\\" if isin else (\\\"medium\\\" if ticker and currency else \\\"low\\\")\\n-        out.append(CandidateInput(\\n+        add(CandidateInput(\\n             source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n             raw_name=name or raw[:240], raw_ticker=ticker, raw_isin=isin, raw_currency=currency,\\n             raw_quantity=_extract_quantity(raw), raw_asset_class=_asset_class(raw), extracted_by=\\\"deterministic_parser\\\",\\n             extraction_confidence=confidence, proposed_name=name or raw[:240], proposed_ticker=ticker,\\n             proposed_isin=isin, proposed_currency=currency, proposed_asset_class=_asset_class(raw),\\n             mapping_status=status, review_note=\\\"deterministic DOCX staging candidate; no productive booking\\\",\\n+        ))\\n+\\n+    # PostFinance-style split table: ticker-only rows under Produkt; never auto-confirm ticker-only rows.\\n+    current_asset_class = \\\"equity\\\"\\n+    in_positions = False\\n+    headers = {\\\"PRODUKT\\\", \\\"ANZAHL\\\", \\\"EINSTANDSKURS\\\", \\\"TOTALWERT\\\", \\\"DIFF. VORTAG\\\", \\\"GELDKURS WÄHRUNG\\\", \\\"G&V CHF\\\", \\\"TOTALWERT CHF\\\", \\\"POSITIONEN %\\\"}\\n+    for idx, line in enumerate(lines, start=1):\\n+        up = _norm_space(line).upper()\\n+        if up in {\\\"AKTIEN\\\", \\\"ETFS\\\", \\\"ETF\\\"}:\\n+            current_asset_class = \\\"etf\\\" if \\\"ETF\\\" in up else \\\"equity\\\"\\n+        if up == \\\"PRODUKT\\\":\\n+            in_positions = True\\n+            continue\\n+        if not in_positions or up in headers or up.startswith(\\\"PAGE \\\"):\\n+            continue\\n+        if not re.fullmatch(r\\\"[A-Z][A-Z0-9.]{0,7}\\\", up):\\n+            continue\\n+        window = \\\" \\\".join(lines[idx:min(len(lines), idx + 9)])\\n+        curr_match = CURRENCY_RE.search(window.upper())\\n+        currency = curr_match.group(1).upper() if curr_match else \\\"\\\"\\n+        qty = _extract_quantity(\\\" \\\".join(lines[idx:idx + 3]))\\n+        if not qty:\\n+            continue\\n+        add(CandidateInput(\\n+            source_file=_file_label(path), platform=platform, account=account, source_row_number=str(idx),\\n+            raw_name=up, raw_ticker=up, raw_isin=\\\"\\\", raw_currency=currency, raw_quantity=qty,\\n+            raw_asset_class=current_asset_class, extracted_by=\\\"deterministic_parser\\\", extraction_confidence=\\\"medium\\\" if currency else \\\"low\\\",\\n+            proposed_name=up, proposed_ticker=up, proposed_currency=currency, proposed_asset_class=current_asset_class,\\n+            mapping_status=\\\"needs_manual_review\\\", review_note=\\\"ticker-only split-table candidate; manual ISIN/exchange review required\\\",\\n         ))\\n     return out\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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            "arguments": "{\"mode\":\"replace\",\"new_string\":\"def _summary_from_inputs(items: list[CandidateInput], *, qwen_used: bool, qwen_available: bool, agree: int, disagree: int, warnings: int, errors: int, dry_run: bool) -> CandidateSummary:\\n    return CandidateSummary(\\n        candidates_total=len(items),\\n        with_isin=sum(1 for c in items if c.proposed_isin or c.raw_isin),\\n        without_isin=sum(1 for c in items if not (c.proposed_isin or c.raw_isin)),\\n        with_ticker=sum(1 for c in items if c.proposed_ticker or c.raw_ticker),\\n        with_currency=sum(1 for c in items if c.proposed_currency or c.raw_currency),\\n        exact_isin_match=sum(1 for c in items if c.mapping_status == \\\"exact_isin_match\\\"),\\n        probable=sum(1 for c in items if c.mapping_status == \\\"probable\\\"),\\n        needs_manual_review=sum(1 for c in items if c.mapping_status == \\\"needs_manual_review\\\"),\\n        confirmed=sum(1 for c in items if c.mapping_status == \\\"confirmed\\\"),\\n        rejected=sum(1 for c in items if c.mapping_status == \\\"rejected\\\"),\\n        importable_confirmed=sum(1 for c in items if c.mapping_status == \\\"confirmed\\\" and c.raw_quantity and (c.proposed_currency or c.raw_currency)),\\n        blocked=sum(1 for c in items if c.mapping_status != \\\"confirmed\\\"),\\n        qwen_used=qwen_used,\\n        qwen_available=qwen_available,\\n        parser_qwen_agree=agree,\\n        parser_qwen_disagree=disagree,\\n        warnings=warnings,\\n        errors=errors,\\n        dry_run=dry_run,\\n    )\\n\\n\\ndef stage_docx_candidates(conn: Connection, files: Sequence[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\\n    qwen_used = False\\n    qwen_available = False\\n    parser_signatures: set[tuple[str, str, str]] = set()\\n    qwen_signatures: set[tuple[str, str, str]] = set()\\n    staged_items: list[CandidateInput] = []\\n    warnings = 0\\n    errors = 0\\n    for path in files:\",\"old_string\":\"def stage_docx_candidates(conn: Connection, files: Sequence[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\\n    qwen_used = False\\n    qwen_available = False\\n    parser_signatures: set[tuple[str, str, str]] = set()\\n    qwen_signatures: set[tuple[str, str, str]] = set()\\n    staged = 0\\n    warnings = 0\\n    errors = 0\\n    for path in files:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -323,12 +323,36 @@\\n     return cid\\n \\n \\n+def _summary_from_inputs(items: list[CandidateInput], *, qwen_used: bool, qwen_available: bool, agree: int, disagree: int, warnings: int, errors: int, dry_run: bool) -> CandidateSummary:\\n+    return CandidateSummary(\\n+        candidates_total=len(items),\\n+        with_isin=sum(1 for c in items if c.proposed_isin or c.raw_isin),\\n+        without_isin=sum(1 for c in items if not (c.proposed_isin or c.raw_isin)),\\n+        with_ticker=sum(1 for c in items if c.proposed_ticker or c.raw_ticker),\\n+        with_currency=sum(1 for c in items if c.proposed_currency or c.raw_currency),\\n+        exact_isin_match=sum(1 for c in items if c.mapping_status == \\\"exact_isin_match\\\"),\\n+        probable=sum(1 for c in items if c.mapping_status == \\\"probable\\\"),\\n+        needs_manual_review=sum(1 for c in items if c.mapping_status == \\\"needs_manual_review\\\"),\\n+        confirmed=sum(1 for c in items if c.mapping_status == \\\"confirmed\\\"),\\n+        rejected=sum(1 for c in items if c.mapping_status == \\\"rejected\\\"),\\n+        importable_confirmed=sum(1 for c in items if c.mapping_status == \\\"confirmed\\\" and c.raw_quantity and (c.proposed_currency or c.raw_currency)),\\n+        blocked=sum(1 for c in items if c.mapping_status != \\\"confirmed\\\"),\\n+        qwen_used=qwen_used,\\n+        qwen_available=qwen_available,\\n+        parser_qwen_agree=agree,\\n+        parser_qwen_disagree=disagree,\\n+        warnings=warnings,\\n+        errors=errors,\\n+        dry_run=dry_run,\\n+    )\\n+\\n+\\n def stage_docx_candidates(conn: Connection, files: Sequence[str | Path], *, use_qwen: bool = False, dry_run: bool = False) -> CandidateSummary:\\n     qwen_used = False\\n     qwen_available = False\\n     parser_signatures: set[tuple[str, str, str]] = set()\\n     qwen_signatures: set[tuple[str, str, str]] = set()\\n-    staged = 0\\n+    staged_items: list[CandidateInput] = []\\n     warnings = 0\\n     errors = 0\\n     for path in files:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\\">\\nERROR [364:17] \\\"staged\\\" is possibly unbound [reportPossiblyUnboundVariable] (Pyright)\\nERROR [373:21] \\\"staged\\\" is possibly unbound [reportPossiblyUnboundVariable] (Pyright)\\nERROR [383:72] \\\"staged\\\" is possibly unbound [reportPossiblyUnboundVariable] (Pyright)\\n</diagnostics>\"}",
      "tool_call_id": "call_Lk4xGwKUnXZpQNJIYvjveWfs"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_SReOVfEZsxfTWOLqXALjqvfz",
          "call_id": "call_SReOVfEZsxfTWOLqXALjqvfz",
          "response_item_id": "fc_0e0505a610594720016a0778fd558c8191a6a0c2021b82059d",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"            for c in parser_candidates:\\n                staged_items.append(c)\\n                parser_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                upsert_candidate(conn, c, dry_run=dry_run)\",\"old_string\":\"            for c in parser_candidates:\\n                staged += 1\\n                parser_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                upsert_candidate(conn, c, dry_run=dry_run)\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -361,7 +361,7 @@\\n         try:\\n             parser_candidates = deterministic_parse_docx(p, platform=platform)\\n             for c in parser_candidates:\\n-                staged += 1\\n+                staged_items.append(c)\\n                 parser_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                 upsert_candidate(conn, c, dry_run=dry_run)\\n             if use_qwen:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\\">\\nERROR [373:21] \\\"staged\\\" is unbound [reportUnboundVariable] (Pyright)\\n</diagnostics>\"}",
      "tool_call_id": "call_SReOVfEZsxfTWOLqXALjqvfz"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_lfXhE1h7AhakPm77VHWbhMRO",
          "call_id": "call_lfXhE1h7AhakPm77VHWbhMRO",
          "response_item_id": "fc_0bc945056d0f2a31016a077906ef2c81919c032f6455532957",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"                for c in q_candidates:\\n                    staged_items.append(c)\\n                    qwen_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                    upsert_candidate(conn, c, dry_run=dry_run)\",\"old_string\":\"                for c in q_candidates:\\n                    staged += 1\\n                    qwen_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                    upsert_candidate(conn, c, dry_run=dry_run)\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -370,7 +370,7 @@\\n                 qwen_available = qwen_available or available\\n                 qwen_used = qwen_used or bool(q_candidates)\\n                 for c in q_candidates:\\n-                    staged += 1\\n+                    staged_items.append(c)\\n                     qwen_signatures.add(((c.proposed_isin or c.raw_isin).upper(), (c.proposed_ticker or c.raw_ticker).upper(), (c.proposed_currency or c.raw_currency).upper()))\\n                     upsert_candidate(conn, c, dry_run=dry_run)\\n         except Exception:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\\">\\nERROR [383:72] \\\"staged\\\" is not defined [reportUndefinedVariable] (Pyright)\\n</diagnostics>\"}",
      "tool_call_id": "call_lfXhE1h7AhakPm77VHWbhMRO"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_VYx4jl4ABB6UWvpESLjvtcVA",
          "call_id": "call_VYx4jl4ABB6UWvpESLjvtcVA",
          "response_item_id": "fc_0e7503dbfdf2d9b8016a077913896481918a433f5b10367d41",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    if dry_run:\\n        return _summary_from_inputs(staged_items, qwen_used=qwen_used, qwen_available=qwen_available, agree=agree, disagree=disagree, warnings=warnings, errors=errors, dry_run=True)\\n    return CandidateSummary(**{**summary.__dict__, \\\"qwen_used\\\": qwen_used, \\\"qwen_available\\\": qwen_available, \\\"parser_qwen_agree\\\": agree, \\\"parser_qwen_disagree\\\": disagree, \\\"warnings\\\": warnings, \\\"errors\\\": errors, \\\"dry_run\\\": dry_run})\",\"old_string\":\"    return CandidateSummary(**{**summary.__dict__, \\\"candidates_total\\\": staged if dry_run else summary.candidates_total, \\\"qwen_used\\\": qwen_used, \\\"qwen_available\\\": qwen_available, \\\"parser_qwen_agree\\\": agree, \\\"parser_qwen_disagree\\\": disagree, \\\"warnings\\\": warnings, \\\"errors\\\": errors, \\\"dry_run\\\": dry_run})\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\\n@@ -380,7 +380,9 @@\\n     summary = summarize_candidates(conn, dry_run=dry_run)\\n     agree = len((parser_signatures - {('', '', '')}) & (qwen_signatures - {('', '', '')}))\\n     disagree = len((parser_signatures ^ qwen_signatures) - {('', '', '')}) if qwen_signatures else 0\\n-    return CandidateSummary(**{**summary.__dict__, \\\"candidates_total\\\": staged if dry_run else summary.candidates_total, \\\"qwen_used\\\": qwen_used, \\\"qwen_available\\\": qwen_available, \\\"parser_qwen_agree\\\": agree, \\\"parser_qwen_disagree\\\": disagree, \\\"warnings\\\": warnings, \\\"errors\\\": errors, \\\"dry_run\\\": dry_run})\\n+    if dry_run:\\n+        return _summary_from_inputs(staged_items, qwen_used=qwen_used, qwen_available=qwen_available, agree=agree, disagree=disagree, warnings=warnings, errors=errors, dry_run=True)\\n+    return CandidateSummary(**{**summary.__dict__, \\\"qwen_used\\\": qwen_used, \\\"qwen_available\\\": qwen_available, \\\"parser_qwen_agree\\\": agree, \\\"parser_qwen_disagree\\\": disagree, \\\"warnings\\\": warnings, \\\"errors\\\": errors, \\\"dry_run\\\": dry_run})\\n \\n \\n def summarize_candidates(conn: Connection, *, dry_run: bool = False) -> CandidateSummary:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/instrument_candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_VYx4jl4ABB6UWvpESLjvtcVA"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
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        }
      ],
      "tool_calls": [
        {
          "id": "call_qQxb8SY2uZE1swgwHyClZM1N",
          "call_id": "call_qQxb8SY2uZE1swgwHyClZM1N",
          "response_item_id": "fc_04d042d9cf2c41d7016a07792062d8819196bc99376f886527",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"PYTHONPATH=src python -m jarvis_finance.cli.main stage-instrument-candidates \\\\\\n  /home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_True_Wealth.docx \\\\\\n  /home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_Postfinance.docx \\\\\\n  --qwen --dry-run\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"INSTRUMENT_CANDIDATE_STAGING candidates_total=32 with_isin=7 without_isin=25 with_ticker=31 with_currency=32 exact_isin_match=7 probable=0 needs_manual_review=25 confirmed=0 importable_confirmed=0 blocked=32 qwen_requested=true qwen_used=false qwen_available=false parser_qwen_agree=0 parser_qwen_disagree=0 warnings=0 errors=0 dry_run=true\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_qQxb8SY2uZE1swgwHyClZM1N"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Evaluating row capture**\n\nI'm figuring out the difference between the actual count of 32 vs. the expected 42. The user requested a renewed dry run, but it seems I should have captured 42. Now, I’m considering whether it’s acceptable to have only 32. Maybe I need to focus on parsing only 25 from the finance data because I'm missing rows after 230? It’s crucial to count all the ticker rows accurately.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Evaluating row capture**\n\nI'm figuring out the difference between the actual count of 32 vs. the expected 42. The user requested a renewed dry run, but it seems I should have captured 42. Now, I’m considering whether it’s acceptable to have only 32. Maybe I need to focus on parsing only 25 from the finance data because I'm missing rows after 230? It’s crucial to count all the ticker rows accurately.",
      "codex_reasoning_items": [
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          "id": "rs_05aab7e99a015bd5016a0779255c78819184ed5bfe386d3cef",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Evaluating row capture**\n\nI'm figuring out the difference between the actual count of 32 vs. the expected 42. The user requested a renewed dry run, but it seems I should have captured 42. Now, I’m considering whether it’s acceptable to have only 32. Maybe I need to focus on parsing only 25 from the finance data because I'm missing rows after 230? It’s crucial to count all the ticker rows accurately."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_N6PQ5qOF2ugqs2Gdgtji6sgC",
          "call_id": "call_N6PQ5qOF2ugqs2Gdgtji6sgC",
          "response_item_id": "fc_05aab7e99a015bd5016a077928880081919823568a4288863a",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"import sys,re\\nsys.path.insert(0,'/home/agent/.hermes/repos/FinanceManager/src')\\nfrom pathlib import Path\\nfrom jarvis_finance.imports.instrument_candidates import extract_docx_text, DECIMAL_RE, CURRENCY_RE\\nlines=extract_docx_text('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_Postfinance.docx')\\nheaders={\\\"PRODUKT\\\", \\\"ANZAHL\\\", \\\"EINSTANDSKURS\\\", \\\"TOTALWERT\\\", \\\"DIFF. VORTAG\\\", \\\"GELDKURS WÄHRUNG\\\", \\\"G&V CHF\\\", \\\"TOTALWERT CHF\\\", \\\"POSITIONEN %\\\"}\\ninpos=False; rows=[]\\nfor idx,line in enumerate(lines,1):\\n up=' '.join(str(line).split()).upper()\\n if up=='PRODUKT': inpos=True; continue\\n if not inpos or up in headers or up.startswith('PAGE '): continue\\n if re.fullmatch(r'[A-Z][A-Z0-9.]{0,7}', up):\\n  window=' '.join(lines[idx:min(len(lines),idx+9)])\\n  curr=CURRENCY_RE.search(window.upper())\\n  qty=DECIMAL_RE.search(' '.join(lines[idx:idx+3]))\\n  rows.append((idx,up,bool(curr),bool(qty)))\\nprint('ticker rows',len(rows))\\nprint(rows)\"}"
          }
        }
      ]
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      "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) == 14\\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|\\n    32|\\n    33|def test_broker_bank_mapping_tables_exist_with_required_columns() -> None:\\n    34|    conn = connect_memory()\\n    35|    apply_migrations(conn)\\n    36|    instrument_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instrument_mappings)\\\").fetchall()}\\n    37|    account_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(platform_account_mappings)\\\").fetchall()}\\n    38|    dry_run_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_dry_runs)\\\").fetchall()}\\n    39|\\n    40|    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    41|    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    42|    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\\\", \\\"session_status\\\", \\\"is_current\\\"}.issubset(dry_run_cols)\\n    43|    review_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_review_items)\\\").fetchall()}\\n    44|    assert {\\\"review_item_id\\\", \\\"dry_run_id\\\", \\\"source_platform\\\", \\\"source_row_ref\\\", \\\"row_hash\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"detected_asset_class\\\", \\\"detected_currency\\\", \\\"quality_flags_json\\\", \\\"review_status\\\", \\\"import_readiness_status\\\", \\\"reviewer_confirmed\\\", \\\"snapshot_date_confirmed\\\", \\\"ticker_exchange_confirmed\\\", \\\"account_mapping_status\\\"}.issubset(review_cols)\\n    45|    execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n    46|    assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n    47|    transaction_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n    48|    assert {\\\"is_voided\\\", \\\"voided_at\\\", \\\"void_reason\\\", \\\"voided_by\\\", \\\"correction_of_transaction_id\\\", \\\"correction_reason\\\"}.issubset(transaction_cols)\\n    49|\", \"total_lines\": 48, \"file_size\": 3829, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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        }
      ],
      "tool_calls": [
        {
          "id": "call_SaNdLMCyQgREtcQf0GWmfpc3",
          "call_id": "call_SaNdLMCyQgREtcQf0GWmfpc3",
          "response_item_id": "fc_09cd1bb198d70332016a07798f434c819187ec955afb4e9d6a",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"git diff -- src/jarvis_finance/cli/main.py src/jarvis_finance/dashboard/data.py src/jarvis_finance/dashboard/views/page_13_equity_manage.py src/jarvis_finance/storage/migrations.py tests/unit/test_schema.py src/jarvis_finance/imports/instrument_candidates.py tests/unit/test_instrument_import_candidates.py | sed -n '1,260p'\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"diff --git a/src/jarvis_finance/cli/main.py b/src/jarvis_finance/cli/main.py\\nindex 2f2920a..8b66b15 100644\\n--- a/src/jarvis_finance/cli/main.py\\n+++ b/src/jarvis_finance/cli/main.py\\n@@ -7,6 +7,7 @@ from pathlib import Path\\n from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n from jarvis_finance.fx.providers import MockFxProvider\\n from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\n+from jarvis_finance.imports.instrument_candidates import stage_docx_candidates\\n from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_decision_pack, export_mapping_review_template, generate_mapping_candidates, recalculate_candidate_rankings\\n from jarvis_finance.market_data.catalog import prepare_catalog_from_instruments\\n@@ -76,6 +77,11 @@ def main(argv: list[str] | None = None) -> int:\\n     rank_candidates.add_argument(\\\"--export-decision-pack\\\", action=\\\"store_true\\\")\\n     rank_candidates.add_argument(\\\"--decision-pack-path\\\")\\n     rank_candidates.add_argument(\\\"--top-n\\\", type=int, default=5)\\n+    q = sub.add_parser(\\\"stage-instrument-candidates\\\")\\n+    q.add_argument(\\\"files\\\", nargs=\\\"+\\\", help=\\\"Broker DOCX files outside git repo\\\")\\n+    q.add_argument(\\\"--qwen\\\", action=\\\"store_true\\\")\\n+    q.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n+    q.add_argument(\\\"--allow-repo-files\\\", action=\\\"store_true\\\")\\n     sub.add_parser(\\\"backup-runtime-db\\\")\\n     restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n     restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n@@ -288,6 +294,35 @@ def main(argv: list[str] | None = None) -> int:\\n             return 0\\n         finally:\\n             conn.close()\\n+    if args.command == \\\"stage-instrument-candidates\\\":\\n+        settings = load_settings()\\n+        ensure_runtime_dirs(settings)\\n+        repo_root = Path.cwd().resolve()\\n+        files = [Path(f).expanduser().resolve() for f in args.files]\\n+        if not args.allow_repo_files:\\n+            for f in files:\\n+                try:\\n+                    f.relative_to(repo_root)\\n+                    parser.error(\\\"Broker files must stay outside git repo; pass runtime import paths, not repo files\\\")\\n+                except ValueError:\\n+                    pass\\n+        conn = connect(settings.db_path)\\n+        try:\\n+            apply_migrations(conn)\\n+            result = stage_docx_candidates(conn, files, use_qwen=args.qwen, dry_run=args.dry_run)\\n+            print(\\n+                \\\"INSTRUMENT_CANDIDATE_STAGING \\\"\\n+                f\\\"candidates_total={result.candidates_total} with_isin={result.with_isin} without_isin={result.without_isin} \\\"\\n+                f\\\"with_ticker={result.with_ticker} with_currency={result.with_currency} \\\"\\n+                f\\\"exact_isin_match={result.exact_isin_match} probable={result.probable} needs_manual_review={result.needs_manual_review} \\\"\\n+                f\\\"confirmed={result.confirmed} importable_confirmed={result.importable_confirmed} blocked={result.blocked} \\\"\\n+                f\\\"qwen_requested={str(args.qwen).lower()} qwen_used={str(result.qwen_used).lower()} qwen_available={str(result.qwen_available).lower()} \\\"\\n+                f\\\"parser_qwen_agree={result.parser_qwen_agree} parser_qwen_disagree={result.parser_qwen_disagree} \\\"\\n+                f\\\"warnings={result.warnings} errors={result.errors} dry_run={str(result.dry_run).lower()}\\\"\\n+            )\\n+            return 1 if result.errors else 0\\n+        finally:\\n+            conn.close()\\n     if args.command == \\\"check-data-quality\\\":\\n         settings = load_settings()\\n         ensure_runtime_dirs(settings)\\ndiff --git a/src/jarvis_finance/dashboard/data.py b/src/jarvis_finance/dashboard/data.py\\nindex 56e215b..b3883b0 100644\\n--- a/src/jarvis_finance/dashboard/data.py\\n+++ b/src/jarvis_finance/dashboard/data.py\\n@@ -806,7 +806,8 @@ def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\n         (\\\"Valuation not ready\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_provider_symbol','missing_market_price','missing_fx','hedge_status_unknown','instrument_status_unknown')\\\", \\\"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+        (\\\"Instrument Import Kandidaten unbestätigt\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE mapping_status NOT IN ('confirmed','rejected')\\\", \\\"warnung\\\"),\\n+        (\\\"Instrument Import Kandidaten ohne ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE COALESCE(proposed_isin, raw_isin, '')='' AND mapping_status!='rejected'\\\", \\\"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@@ -881,6 +882,43 @@ def get_instrument_mapping_review(conn: Connection) -> list[dict[str, str]]:\\n     return rowdicts(rows)\\n \\n \\n+def get_instrument_import_candidates(conn: Connection, status: str | None = None) -> list[dict[str, str]]:\\n+    sql = \\\"\\\"\\\"\\n+        SELECT candidate_id, source_file, platform, account, source_row_number,\\n+               raw_name, raw_ticker, raw_isin, raw_currency,\\n+               CASE WHEN COALESCE(raw_quantity,'')<>'' THEN '<present>' ELSE '' END AS raw_quantity_present,\\n+               raw_asset_class, extracted_by, extraction_confidence,\\n+               proposed_name, proposed_ticker, proposed_isin, proposed_exchange,\\n+               proposed_currency, proposed_asset_class, provider, provider_symbol,\\n+               mapping_status, review_note, created_at, updated_at\\n+        FROM instrument_import_candidates\\n+    \\\"\\\"\\\"\\n+    params: list[object] = []\\n+    if status:\\n+        sql += \\\" WHERE mapping_status=?\\\"\\n+        params.append(status)\\n+    sql += \\\" ORDER BY CASE mapping_status WHEN 'needs_manual_review' THEN 0 WHEN 'probable' THEN 1 WHEN 'exact_isin_match' THEN 2 WHEN 'confirmed' THEN 3 ELSE 4 END, platform, source_row_number\\\"\\n+    return rowdicts(conn.execute(sql, tuple(params)).fetchall())\\n+\\n+\\n+def get_instrument_import_candidate_summary(conn: Connection) -> dict[str, str]:\\n+    def c(where: str) -> str:\\n+        row = conn.execute(f\\\"SELECT COUNT(*) AS n FROM instrument_import_candidates WHERE {where}\\\").fetchone()\\n+        return str(row[\\\"n\\\"] or 0)\\n+    return {\\n+        \\\"candidates_total\\\": c(\\\"1=1\\\"),\\n+        \\\"with_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')<>''\\\"),\\n+        \\\"without_isin\\\": c(\\\"COALESCE(proposed_isin, raw_isin, '')=''\\\"),\\n+        \\\"with_ticker\\\": c(\\\"COALESCE(proposed_ticker, raw_ticker, '')<>''\\\"),\\n+        \\\"with_currency\\\": c(\\\"COALESCE(proposed_currency, raw_currency, '')<>''\\\"),\\n+        \\\"exact_isin_match\\\": c(\\\"mapping_status='exact_isin_match'\\\"),\\n+        \\\"probable\\\": c(\\\"mapping_status='probable'\\\"),\\n+        \\\"needs_manual_review\\\": c(\\\"mapping_status='needs_manual_review'\\\"),\\n+        \\\"confirmed\\\": c(\\\"mapping_status='confirmed'\\\"),\\n+        \\\"blocked\\\": c(\\\"mapping_status!='confirmed'\\\"),\\n+    }\\n+\\n+\\n def get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\\n     if instrument_id:\\n         rows = conn.execute(\\ndiff --git a/src/jarvis_finance/dashboard/views/page_13_equity_manage.py b/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\nindex e442849..35444d2 100644\\n--- a/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n+++ b/src/jarvis_finance/dashboard/views/page_13_equity_manage.py\\n@@ -6,6 +6,7 @@ from jarvis_finance.dashboard import data\\n from jarvis_finance.dashboard.components.tables import show_table\\n from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, add_manual_position_from_catalog, create_manual_catalog_entry, get_equity_management_options\\n from jarvis_finance.fx.overrides import set_manual_fx_override\\n+from jarvis_finance.imports.instrument_candidates import confirm_candidate, reject_candidate, resolve_candidate\\n from jarvis_finance.market_data.candidates import reject_mapping_candidate, select_mapping_candidate\\n \\n PAGE_TITLE = \\\"Equity/ETF Manage\\\"\\n@@ -37,7 +38,7 @@ def render(st, conn) -> None:\\n     options = get_equity_management_options(conn)\\n     account_labels = [_account_label(row) for row in options[\\\"accounts\\\"]]\\n     instrument_labels = [_instrument_label(row) for row in options[\\\"instruments\\\"]]\\n-    tabs = st.tabs([\\\"Instrument Search / Add Position\\\", \\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\\n+    tabs = st.tabs([\\\"Instrument Search / Add Position\\\", \\\"Mapping Review Queue\\\", \\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\\n \\n     with tabs[0]:\\n         st.subheader(\\\"Instrument Search / Add Position\\\")\\n@@ -96,6 +97,48 @@ def render(st, conn) -> None:\\n                 st.error(f\\\"Positionsspeicherung abgelehnt: {exc}\\\")\\n \\n     with tabs[1]:\\n+        st.subheader(\\\"Mapping Review Queue: PostFinance / True Wealth\\\")\\n+        st.caption(\\\"Staging-Kandidaten aus Broker-DOCX. Mengen sind nur als '<present>' sichtbar; keine produktive Buchung ohne confirmed + separate Import-Freigabe.\\\")\\n+        st.write(data.get_instrument_import_candidate_summary(conn))\\n+        status_filter = st.selectbox(\\\"Status\\\", [\\\"\\\", \\\"needs_manual_review\\\", \\\"exact_isin_match\\\", \\\"probable\\\", \\\"confirmed\\\", \\\"rejected\\\"], key=\\\"instrument_candidate_status_filter\\\")\\n+        candidate_rows = data.get_instrument_import_candidates(conn, status=status_filter or None)\\n+        show_table(st, candidate_rows)\\n+        labels = [f\\\"{r['candidate_id']} | {r['platform']} | {r.get('raw_ticker','')} | {r.get('raw_isin','')} | {r['mapping_status']}\\\" for r in candidate_rows]\\n+        selected_label = st.selectbox(\\\"Kandidat auswählen\\\", labels, key=\\\"instrument_candidate_select\\\") if labels else None\\n+        review_note = st.text_area(\\\"Review-Notiz (Pflicht für Confirm/Reject)\\\", key=\\\"instrument_candidate_note\\\")\\n+        manual_isin = st.text_input(\\\"ISIN manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_isin\\\")\\n+        manual_ticker = st.text_input(\\\"Ticker manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_ticker\\\")\\n+        manual_exchange = st.text_input(\\\"Exchange manuell ergänzen/korrigieren\\\", key=\\\"instrument_candidate_exchange\\\")\\n+        manual_currency = st.selectbox(\\\"Währung manuell ergänzen/korrigieren\\\", [\\\"\\\", \\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"instrument_candidate_currency\\\")\\n+        st.info(\\\"Ticker allein reicht nie für Auto-Import. ISIN oder Ticker+Exchange+Währung werden für confirmed verlangt.\\\")\\n+        if st.button(\\\"Resolver erneut anwenden\\\", key=\\\"instrument_candidate_resolve\\\"):\\n+            try:\\n+                if not selected_label:\\n+                    raise ValueError(\\\"candidate is required\\\")\\n+                result = resolve_candidate(conn, selected_label.split(\\\" | \\\", 1)[0])\\n+                st.success(\\\"Resolver ausgeführt; Status aktualisiert.\\\")\\n+                st.write(result)\\n+            except Exception as exc:\\n+                st.error(f\\\"Resolver abgelehnt: {exc}\\\")\\n+        if st.button(\\\"Kandidat bestätigen\\\", key=\\\"instrument_candidate_confirm\\\"):\\n+            try:\\n+                if not selected_label:\\n+                    raise ValueError(\\\"candidate is required\\\")\\n+                confirm_candidate(conn, selected_label.split(\\\" | \\\", 1)[0], note=review_note, proposed_isin=manual_isin or None, proposed_ticker=manual_ticker or None, proposed_exchange=manual_exchange or None, proposed_currency=manual_currency or None)\\n+                st.success(\\\"Kandidat bestätigt; Audit-Log geschrieben. Noch keine Portfolio-Buchung.\\\")\\n+            except Exception as exc:\\n+                st.error(f\\\"Bestätigung abgelehnt: {exc}\\\")\\n+        if st.button(\\\"Kandidat ablehnen\\\", key=\\\"instrument_candidate_reject\\\"):\\n+            try:\\n+                if not selected_label:\\n+                    raise ValueError(\\\"candidate is required\\\")\\n+                reject_candidate(conn, selected_label.split(\\\" | \\\", 1)[0], note=review_note)\\n+                st.success(\\\"Kandidat abgelehnt; Audit-Log geschrieben.\\\")\\n+            except Exception as exc:\\n+                st.error(f\\\"Ablehnung abgelehnt: {exc}\\\")\\n+        st.caption(\\\"Finaler Initial-Snapshot-Import bleibt absichtlich außerhalb dieser Review-Aktion und braucht separate Freigabe.\\\")\\n+\\n+    with tabs[2]:\\n         st.subheader(\\\"Aktie/ETF als Initial Snapshot hinzufügen\\\")\\n         account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=\\\"equity_add_account\\\") if account_labels else None\\n         asset_class = st.selectbox(\\\"Assetklasse\\\", [\\\"stock\\\", \\\"ETF\\\"], key=\\\"equity_add_class\\\")\\n@@ -196,15 +239,15 @@ def render(st, conn) -> None:\\n                 except Exception as exc:\\n                     st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n \\n-    transaction_form(tabs[2], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n-    transaction_form(tabs[3], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n-    transaction_form(tabs[4], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n-    transaction_form(tabs[5], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n-    transaction_form(tabs[6], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n-    transaction_form(tabs[7], \\\"Fee erfassen\\\", \\\"fee\\\")\\n-    transaction_form(tabs[8], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n+    transaction_form(tabs[3], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n+    transaction_form(tabs[4], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n+    transaction_form(tabs[5], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n+    transaction_form(tabs[6], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n+    transaction_form(tabs[7], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n+    transaction_form(tabs[8], \\\"Fee erfassen\\\", \\\"fee\\\")\\n+    transaction_form(tabs[9], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n \\n-    with tabs[9]:\\n+    with tabs[10]:\\n         st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n         show_table(st, data.get_positions(conn))\\n         st.divider()\\ndiff --git a/src/jarvis_finance/storage/migrations.py b/src/jarvis_finance/storage/migrations.py\\nindex 554de9b..07f49b1 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 = 14\\n-MIGRATION_NAME = \\\"014_candidate_ranking_decision_pack\\\"\\n+MIGRATION_VERSION = 15\\n+MIGRATION_NAME = \\\"015_instrument_import_candidates\\\"\\n \\n INSTRUMENT_OPTIONAL_COLUMNS = {\\n     \\\"position_category\\\": \\\"TEXT\\\",\\n@@ -431,6 +431,50 @@ def _create_fx_market_data_tables(conn: Connection) -> None:\\n     conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\\n \\n \\n+def _create_instrument_import_candidates(conn: Connection) -> None:\\n+    conn.executescript(\\n+        \\\"\\\"\\\"\\n+        CREATE TABLE IF NOT EXISTS instrument_import_candidates (\\n+            candidate_id TEXT PRIMARY KEY,\\n+            source_file TEXT NOT NULL,\\n+            platform TEXT NOT NULL,\\n+            account TEXT,\\n+            source_row_number TEXT,\\n+            raw_name TEXT,\\n+            raw_ticker TEXT,\\n+            raw_isin TEXT,\\n+            raw_currency TEXT,\\n+            raw_quantity TEXT,\\n+            raw_asset_class TEXT,\\n+            extracted_by TEXT NOT NULL DEFAULT 'deterministic_parser',\\n+            extraction_confidence TEXT NOT NULL DEFAULT 'low',\\n+            proposed_name TEXT,\\n+            proposed_ticker TEXT,\\n+            proposed_isin TEXT,\\n+            proposed_exchange TEXT,\\n+            proposed_currency TEXT,\\n+            proposed_asset_class TEXT,\\n+            provider TEXT,\\n+            provider_symbol TEXT,\\n+            mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n+            review_note TEXT,\\n+            created_at TEXT NOT NULL,\\n+            updated_at TEXT\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_SaNdLMCyQgREtcQf0GWmfpc3"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Reviewing code changes**\n\nI noticed we removed the \"cost_basis_uncertain\" data quality check when we should have added it instead. That's a bit concerning since it might lead to a regression issue. I need to ensure that we re-add this check before finalizing the instrument patch to maintain functionality. It's all about catching these small details to prevent problems down the line! Let's make sure we get it right.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Reviewing code changes**\n\nI noticed we removed the \"cost_basis_uncertain\" data quality check when we should have added it instead. That's a bit concerning since it might lead to a regression issue. I need to ensure that we re-add this check before finalizing the instrument patch to maintain functionality. It's all about catching these small details to prevent problems down the line! Let's make sure we get it right.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqB3mXFRPBNAXKN4VHRP0Lqf0ah32PbwUTa7NodT2koqb6HnBNoVUMPOKetmAdsgKn9GXt_GsKMBqjS0_yoMv37kOnQG_S-dMedumwHgd1LDGqWFAjQtuqQ7zL14hsBodqfgyY5CA5DpA5BXiC3E30xxU2X2cNlEBfm_2Iti98AFnTDtlgGBvlhzMPRiydMuxQnRJo-7CSwNl65dOTPq-xEZlXIik7OJllWmKj0WUUvzQSYdl8E1unAqzmZvN9xyFxRE_WF_0fb7WVE1YJ3uQIRdHtjLKrDXemAQKbu_selXlfDR5bAMu2lNBuMIKf5nPI_bQN-CkGVpqR5ulUQx6-zF5-f97XlwbGH000O_6RnkUwYr0ulJsapi14q0miYybHbqvDwFrfvcsnvWzkCcUc4bOGrZhub9sXHwgcSz47lDxogo2aHOOfvBa7hrw60hWLn_QdxA8N08XMFBFOE6vMDljuu-T2Iz8d5smlheiXIOfXjAODE6MtRXMk_AJrfv5H8sztqntJ0LBGzMIpMUUxxcjY2tyFKDXosi5XM1YlKuq3WVYXzUwemzoO3O80UznmD4-7nY79SbG52JcyppIb9Q375r7ww7JkgXXv5kOrcMOfm09M5FY9Qtl03Zyax3bi4dl9kaNfq-vk9fV5njigT8YtOTAPaZRoUI1_E4AGRGfjuyEWUziYmExtAT5xuzA-J0-xiJPNUYn_BAcxnrJLTDKp-ZRa5Ytu7Ag5RcHhZXXqVIoxfDaCI-mR0_mjsXNByuDFTS6GZlbNuMds_6UDJazyc7NrlIwJixHw9MjMfd4zl6r3mLLJRhRcui5bl037X4_zJ4w6zh5mjNp9TqVloiMeGIGpe-THmh_Vo4zE0AxRF9xykLrHgj5XMbVTxNRCCg-oXL707QQgJjos3Dwd7Pdc0x4mbvOnwmVQRruSeHJ4yZmd-PSjCK_PhIY_4-cIV9uITh1Tot7fqop9IEoeyIiVkZpBWpjqB-bFTiz4eJBoLZBhcE3dQsfqDYrhcb7rdEvS4QqIyqH5cJG0yrtv21U-N93NX5JXuIcmNiZ7P7uAwucdofJMwkL3QHvveI1FK7Udt7B_phgWgBgZWPfBCc_9_v_P8tCDeBXChFs1rjHgoHf-oGP05ART9kBsCRBV_mKe",
          "id": "rs_0d36c2608064642b016a077994baa48191add36ded903c2661",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Reviewing code changes**\n\nI noticed we removed the \"cost_basis_uncertain\" data quality check when we should have added it instead. That's a bit concerning since it might lead to a regression issue. I need to ensure that we re-add this check before finalizing the instrument patch to maintain functionality. It's all about catching these small details to prevent problems down the line! Let's make sure we get it right."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_weGXNBIshTQYNCYWCQH02cx9",
          "call_id": "call_weGXNBIshTQYNCYWCQH02cx9",
          "response_item_id": "fc_0d36c2608064642b016a077997218c81918b3f88a2a9018f8f",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"        (\\\"cost_basis_uncertain\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n        (\\\"Instrument Import Kandidaten unbestätigt\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE mapping_status NOT IN ('confirmed','rejected')\\\", \\\"warnung\\\"),\",\"old_string\":\"        (\\\"Instrument Import Kandidaten unbestätigt\\\", \\\"SELECT COUNT(*) AS c FROM instrument_import_candidates WHERE mapping_status NOT IN ('confirmed','rejected')\\\", \\\"warnung\\\"),\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}"
          }
        }
      ]
    },
    {
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