{
  "session_id": "20260515_140754_a1ab4d",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-15T14:07:54.834592",
  "last_updated": "2026-05-15T14:09:00.322746",
  "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. 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    - 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) [95% — 1,313/1,375 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 work preference: controlled phased execution with explicit safety gates; no mass imports without approval; aggregate-only reporting, never real financial quantities/values/balances/raw rows.\n\nConversation started: Friday, May 15, 2026 02:07 PM\nModel: gpt-5.5\nProvider: openai-codex",
  "tools": [
    {
      "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": "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": {
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                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
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              "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."
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              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
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              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
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              "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."
            },
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              "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."
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            "name"
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        }
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      "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."
            }
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          "required": [
            "name"
          ]
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    {
      "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"
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      "role": "user",
      "content": "[M G] Danke. Der Crypto Price Update MVP ist akzeptiert.\n\nDie Umsetzung ist grundsätzlich sinnvoll:\n\n* lokaler Preis-Cache\n* kein Live-API-Call im Dashboard/Report\n* 429-Handling\n* Git-Safety sauber\n* Tests grün\n* Runtime-Daten außerhalb Git\n\nAllerdings bist du vom vorher vereinbarten Ablauf abgewichen. Das ist in diesem Fall nicht schlimm, weil der Preisupdate-Block nützlich ist. Bitte jetzt aber wieder kontrolliert auf die nächsten Prioritäten einschwenken.\n\nAktueller Stand:\n\n* Commit 3aa67d8 ist akzeptiert.\n* Preisupdate funktioniert technisch.\n* Aber nur 6 von 20 aktiven Crypto Assets hatten frische CHF-Preise.\n* 14 Assets hatten Warnings/Stale/Provider-Limit-Themen.\n* BTC-Test wurde noch nicht abgeschlossen.\n* Equity/ETF Manage UI wurde noch nicht begonnen.\n\nBitte jetzt wie folgt weiterfahren:\n\n## Teil 1: Crypto Price Update robuster machen\n\nBitte verbessere zuerst den Preisupdate-Mechanismus, bevor wir echte Reports mit Preisen ernsthaft nutzen.\n\nZiel:\nMöglichst alle vorhandenen Crypto Assets mit CoinGecko-ID sollen lokale CHF-Preise erhalten, ohne Dashboard-Live-API und ohne Rate-Limit-Crash.\n\nBitte implementiere:\n\n1. Batch-Abfrage prüfen/umsetzen\n\n* Wenn CoinGecko mehrere IDs in einem Request unterstützt, bitte nutzen.\n* Dadurch weniger API-Calls.\n* Kein Abruf pro Coin, falls Batch möglich ist.\n\n2. Konservatives Throttling\n\n* Pause zwischen Requests\n* konfigurierbar:\n\n  * --sleep-seconds\n  * --max-retries\n  * --initial-backoff\n  * --max-backoff\n\n3. CLI-Optionen ergänzen\n   Bitte vorbereiten/implementieren:\n\n* --only-missing\n* --only-stale\n* --only-symbol SYMBOL\n* --limit N\n* --dry-run\n* --currency CHF\n\n4. Bessere Summary\n   Bitte nach Update nur aggregiert ausgeben:\n\n* total assets\n* updated\n* cached\n* skipped\n* stale\n* warnings\n* errors\n* assets still missing local price\n* keine echten Mengen/Werte\n\n5. Data Quality\n\n* Für Assets ohne frischen Preis Data-Quality-Alert erzeugen oder aktualisieren.\n* Alert-Dedupe respektieren.\n* Keine Alert-Flut.\n\n6. Tests\n   Bitte Tests ergänzen für:\n\n* Batch-Request\n* --only-missing\n* --only-stale\n* --only-symbol\n* --limit\n* --dry-run\n* Rate-Limit mit Backoff\n* Alert-Dedupe bei fehlenden Preisen\n\nDanach bitte produktiv gegen Runtime-DB nochmals ausführen, aber vorsichtig und ohne echte Werte im Chat.\n\nBitte berichten:\n\n* Anzahl Assets total\n* Anzahl Assets mit frischem CHF-Preis\n* Anzahl weiterhin ohne frischen Preis\n* Anzahl Warnings/Errors\n* keine Preise/Werte/Mengen ausgeben\n\n## Teil 2: BTC-Test nachholen\n\nDanach bitte den BTC-Test wie zuletzt entschieden nachholen:\n\nOption A:\nBTC mit allen BTC-Wallet-Holdings aus Excel importieren.\n\nBedingungen:\n\n* Nur Bitcoin BTC\n* Coin-Name: Bitcoin\n* Symbol: BTC\n* CoinGecko-ID: bitcoin\n* Mapping-Status: selected\n* Snapshot-Datum: 31.12.2025\n* Alle BTC-Wallet-Holdings aus der echten Excel-Datei übernehmen\n* Pro BTC-Wallet mit Bestand genau eine initial_snapshot_addition bzw. initial_snapshot-Holding erzeugen\n* Mengen exakt als Decimal/Text übernehmen\n* Keine Float-Konvertierung\n* Keine echten Mengen/Werte im Chat\n* Keine anderen Coins importieren\n* Audit-Log Pflicht\n* Keine doppelte Holding für asset_id + wallet_id\n* Legacy-CHF-Werte ignorieren\n* Git-Safety vor/nachher prüfen\n\nBericht nur aggregiert:\n\n* BTC-Test durchgeführt: ja/nein\n* Anzahl BTC-Wallet-Holdings importiert\n* Asset-Anzahl erhöht: ja/nein\n* Holding-Anzahl erhöht: ja/nein\n* Audit-Logs erstellt: ja/nein\n* Doppelte Holdings: ja/nein\n* Fehler/Warnings\n* Git-Safety Ergebnis\n* Git Status\n\n## Teil 3: Danach Equity/ETF Manage UI\n\nErst wenn Teil 1 und Teil 2 sauber sind, bitte mit der Equity/ETF Manage UI beginnen.\n\nZiel:\nAktien und ETFs aus PostFinance, True Wealth und Raiffeisen später im Dashboard erfassen, korrigieren und als Initial Snapshot übernehmen können — auditierbar und ohne stilles Überschreiben.\n\nGrundlogik:\n\n* Für Aktien/ETFs ist ISIN die primäre Identifikation.\n* Ticker und Exchange sind Zusatzinformationen.\n* Positionen werden über initial_position_snapshot, buy, sell, dividend, fee oder manual_adjustment abgebildet.\n* Jede Änderung braucht\nAudit-Log.\n* Fremdwährungen USD/EUR brauchen FX-Kurs und CHF-Gegenwert.\n* Keine Scheingenauigkeit, wenn Kaufhistorie, Gebühren oder historische FX fehlen.\n* Erst mit synthetischen Daten und Dummy-Depots bauen.\n* Keine echten PostFinance-/TrueWealth-/Raiffeisen-Daten importieren.\n\nBitte vormerken für die Equity/ETF Manage UI:\n\n* Aktie/ETF als Initial Snapshot hinzufügen\n* Buy\n* Partial Sell\n* Full Sell\n* Dividend\n* ETF Distribution\n* Fee\n* Manual Adjustment\n* ISIN Pflicht oder stark empfohlen\n* ISIN/Ticker dürfen nicht beide leer sein\n* Währung Pflicht\n* Depot/Konto Pflicht\n* FX bei Fremdwährung\n* Audit-Log Pflicht\n* Notiz Pflicht bei manual_adjustment oder unvollständiger Historie\n\n## Weitere Funktionsmodule bitte vormerken, aber noch nicht bauen\n\nBitte für später als Backlog vormerken:\n\n1. Portfolio Health Seite\n\n* Gesamtwert CHF\n* Assetklassen\n* Plattformen\n* Datenqualität\n* Cashquote\n* fehlende Preise/FX\n\n2. Reconciliation / Abgleich-Seite\n\n* Dashboard-Bestand vs. letzter Snapshot\n* manuelle Prüfung „Bestand geprüft am Datum X“\n* Differenzen sichtbar machen\n\n3. Data Quality Center\n\n* fehlende Preise\n* stale prices\n* fehlende FX\n* fehlende ISIN\n* fehlende CoinGecko-ID\n* unvollständige Historie\n\n4. Manual Review Queue\n\n* ausgelassene Coins\n* unsichere Mappings\n* offene Alerts\n* offene Datenqualitätsprobleme\n\n5. Backup / Restore\n\n* Runtime-DB Backup\n* verschlüsseltes Backup optional\n* Restore-Test später\n\n6. Safe Mode / Read-only Mode\n\n* Dashboard im Lesemodus\n* Schreibfunktionen bewusst aktivieren\n* Schutz gegen versehentliche Änderungen\n\nBitte jetzt zuerst Teil 1 umsetzen, dann Teil 2, dann Teil 3. Keine echten Aktien-/ETF-Daten importieren."
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      "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 182 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources."
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      "role": "user",
      "content": "[M G] Sehr gut. Phase C ist akzeptiert.\n\nDer Stand ist sauber:\n\n* FX-/Market-Data-Grundlagen implementiert\n* Missing-FX-Alerts korrekt validiert\n* Instrument Price Mapping vorbereitet\n* Market Price Provider Skeleton vorhanden\n* Dashboard zeigt Preis-/FX-/Bewertungsstatus\n* Data Quality Center erweitert\n* Tests: 169 passed\n* Git-Safety: OK\n* Commit 5fa8fac gepusht\n* keine echten Werte/Mengen/Kontostände im Chat\n\nDie aktuelle Datenqualität ist korrekt als unvollständig markiert:\n\n* missing_fx: 3\n* missing_market_price: 3\n* missing_provider_symbol: 3\n* snapshot_only: 3\n* cost_basis_uncertain: 3\n\nBitte jetzt keine weiteren Positionen importieren und noch keine Heatmaps, Scores, Rebalancing, Backtests oder Monte-Carlo-Module bauen.\n\nDer nächste Schritt ist:\n\n# Phase C2 — True-Wealth Valuation Pilot\n\nZiel:\nDie 3 bereits importierten True-Wealth-Initial-Snapshot-Positionen sollen so weit wie möglich bewertbar gemacht werden — mit Provider-Symbolen, historischen FX-Kursen und lokalen Marktpreisen.\n\nWeiterhin gilt:\n\n* keine weiteren Aktien-/ETF-Imports\n* keine PostFinance-/Raiffeisen-Imports\n* keine echten Werte/Mengen im Chat\n* keine echten Dateien ins Git\n* Dashboard liest nur lokale DB\n* keine Live-API im Dashboard\n\n## 0. Zusätzliche Bewertungsrisiken zwingend berücksichtigen\n\nBitte beachte in Phase C2 zusätzlich folgende methodische Risiken, damit das System keine falsche Bewertungslogik aufbaut.\n\n### 0.1 CHF-Hedged ETFs / Währungsgesicherte ETFs\n\nTrue Wealth kann CHF-hedged ETFs enthalten.\n\nProblem:\nWenn ein ETF intern währungsgesichert ist, darf das System nicht blind USD/CHF- oder EUR/CHF-Effekte als freie FX-Performance in den Total Return einrechnen. Sonst wird die Performance falsch zerlegt.\n\nBitte erweitere das Instrument-/Price-Mapping oder Instrument-Metadatenmodell um Felder wie:\n\n* is_currency_hedged\n* hedged_to_currency, z.B. CHF\n* hedge_status: hedged, unhedged, unknown\n* optional base_exposure_currency\n* optional trading_currency\n\nRegeln:\n\n* Wenn is_currency_hedged = true und hedged_to_currency = CHF, darf die Performance-Logik keine einfache freie FX-Verschiebung als Total-Return-Komponente ausweisen.\n* Der Kurs kann weiterhin in Handelswährung vorliegen, aber FX-PnL muss methodisch markiert werden.\n* Falls Hedge-Status unbekannt ist, muss hedge_status = unknown gesetzt und eine Data-Quality-Warnung erzeugt werden.\n* Dashboard soll zeigen: Currency hedge: yes/no/unknown.\n* Kein automatisches Hedged-Mapping nur aufgrund des Namens, außer es ist klar im Instrumentnamen/ISIN/Provider-Daten erkennbar und als review-pflichtig markiert.\n* Manuelle Bestätigung des Hedge-Status erzeugt Audit-Log.\n\n### 0.2 Timestamp-Alignment zwischen Market Price und FX\n\nProblem:\nEin US-ETF kann zu einem anderen Zeitpunkt bewertet werden als der verwendete FX-Kurs. Wenn price_timestamp und fx_timestamp zu weit auseinanderliegen, entsteht eine ungenaue CHF-Bewertung.\n\nBitte implementiere oder vorbereite:\n\n* valuation_timestamp_status\n\n  * aligned\n  * acceptable\n  * stale_mismatch\n  * missing_timestamp\n* konfigurierbares Toleranzfenster, z.B. max_price_fx_time_delta_hours = 24\n* wenn Preis- und FX-Zeitstempel zu weit auseinanderliegen:\n\n  * kein harter Crash\n  * Bewertung als warning markieren\n  * Alert: stale_valuation\n  * Dashboard-Hinweis: Preis-/FX-Zeitstempel nicht sauber synchron\n\nRegeln:\n\n* Bei EOD-Daten reicht im MVP ein Tagesvergleich oder 24h-Toleranz.\n* Bei Intraday-Daten muss später genauer geprüft werden.\n* Keine Scheingenauigkeit bei mismatched price/fx timestamps.\n\n### 0.3 Corporate Actions / Splits / Zeitreise-Bug\n\nProblem:\nDie True-Wealth-Positionen stammen aus einem historischen Snapshot. Wenn zwischen snapshot_date und price_date ein Split, Reverse Split, Merger oder ETF-Migration passiert ist, kann alte Menge × neuer Preis grob falsch sein.\n\nBitte implementiere oder vorbereite Data-Quality-Erkennung:\n\n* Alert/Flag: corporate_action_suspected\n* Flag: split_or_corporate_action_review_required\n* optional corporate_action_status\n\n  * none_known\n  * suspected\n  * confirmed\n  * adjusted\nd\n  * ignored\n\nHeuristik MVP:\n\n* Wenn ein Preis eines Instruments gegenüber dem vorherigen lokalen Preis oder gegenüber einer historischen Referenz unrealistisch stark fällt/steigt, z.B. >25 % an einem Tag, dann:\n\n  * keine automatische Bewertung mit hoher Konfidenz\n  * Data-Quality-Warnung erzeugen\n  * manuelle Prüfung verlangen\n* Wenn keine historischen Preise vorhanden sind, zumindest Flag vorbereiten und Corporate-Action-Status auf unknown oder not_checked setzen.\n\nWichtig:\n\n* Keine automatische Split-Korrektur im MVP.\n* Nur erkennen/markieren.\n* Dashboard soll den Status sichtbar machen.\n* Keine falsche Performanceberechnung über Corporate Actions hinweg.\n\n### 0.4 Historische FX API Paywall / Fallback\n\nProblem:\nHistorische FX-Daten sind bei vielen APIs kostenpflichtig oder eingeschränkt. Falls ein API-Call für historische FX mit 403, Paywall, Rate Limit oder fehlender Verfügbarkeit scheitert, darf der Prozess nicht blockieren.\n\nBitte implementiere:\n\n* Fehlerstatus manual_override_required\n* fx_source = manual_override_required\n* Alert: historical_fx_unavailable\n* Position bleibt partially_valuable\n* Import/Valuation läuft weiter, aber markiert unvollständig\n* CLI-Hinweis, dass historischer FX manuell nachgetragen werden kann\n\nRegeln:\n\n* Kein harter Import-/Valuation-Abbruch bei fehlender historischer FX.\n* Kein Erraten historischer FX-Werte.\n* Kein Verwenden von latest FX als historischer Snapshot-FX ohne klaren Hinweis und manuelle Bestätigung.\n* Manuelle FX-Erfassung bleibt erlaubt, aber nur mit Notiz und Audit-Log.\n\n### 0.5 Delisted / Suspended / Dead Assets\n\nProblem:\nEin Instrument kann delisted, fusioniert, ausgesetzt oder nicht mehr handelbar sein. Das System darf dann nicht täglich sinnlos neue Missing-Price-Alerts erzeugen.\n\nBitte erweitere Instrument-/Mapping-Status um:\n\n* instrument_status\n\n  * active\n  * delisted\n  * suspended\n  * merged\n  * inactive\n  * unknown\n* optional valuation_policy\n\n  * live_price\n  * last_known_price\n  * manual_value\n  * exclude_from_auto_price_update\n\nRegeln:\n\n* delisted oder suspended wird vom automatischen Preisabruf ausgeschlossen.\n* Dashboard zeigt klar: Preis eingefroren / manuelle Bewertung nötig.\n* Letzter bekannter Preis darf als last_known_price angezeigt werden, aber mit Warnung.\n* Missing-Price-Alerts dürfen nicht täglich neu erzeugt werden, wenn Asset bewusst als delisted/suspended markiert ist.\n* Statusänderung braucht Audit-Log.\n* Kein automatisches Delisting-Raten ohne Prüfung; nur Provider-Fehler können suspected_inactive erzeugen.\n\n## 1. Provider-Symbol-Mapping für die 3 True-Wealth-Instrumente\n\nBitte erstelle eine kontrollierte Mapping-Ansicht oder Runtime-Review-Struktur für die 3 importierten True-Wealth-Instrumente.\n\nPro Instrument intern prüfen:\n\n* instrument_id\n* ISIN\n* Name\n* Ticker, falls vorhanden\n* Exchange, falls vorhanden\n* Währung\n* Provider-Symbol vorhanden: ja/nein\n* Hedge-Status:\n\n  * hedged\n  * unhedged\n  * unknown\n* Instrument Status:\n\n  * active\n  * delisted\n  * suspended\n  * merged\n  * inactive\n  * unknown\n* Mapping-Status:\n\n  * mapped\n  * needs_manual_review\n  * missing_provider_symbol\n  * ambiguous\n\nWichtig:\n\n* ISIN bleibt die Instrument-Wahrheit.\n* Provider-Symbol ist nur für Kursdaten.\n* Kein automatisches Mapping nur über Namen.\n* Wenn Provider-Symbol nicht sicher ist, bitte Review Item erzeugen.\n* Hedge-Status nicht raten.\n* Keine echten Werte/Mengen im Chat.\n\nBitte berichte nur aggregiert:\n\n* Anzahl Instrumente geprüft\n* Anzahl mit Provider-Symbol\n* Anzahl missing_provider_symbol\n* Anzahl ambiguous\n* Anzahl Hedge-Status known/unknown\n* Anzahl Instrument-Status active/unknown\n* Anzahl manuelle Bestätigung nötig\n\n## 2. Manuelles Provider-Symbol- und Instrument-Metadaten-Mapping ermöglichen\n\nBitte im Dashboard oder in der Review Queue ermöglichen:\n\n* Provider auswählen\n* Provider-Symbol eintragen\n* Exchange eintragen\n* Währung bestätigen\n* Hedge-Status bestätigen\n* Hedged-to Currency bestätigen, falls hedged\n* Instrument-Status bestätigen: active / suspended / delisted / merged / inactive / unknown\n* Valuation Poli\ncy bestätigen:\n\n  * live_price\n  * last_known_price\n  * manual_value\n  * exclude_from_auto_price_update\n* Mapping bestätigen\n* Audit-Log schreiben\n* Data-Quality-Alerts aktualisieren/resolven, wenn Mapping vollständig ist\n\nFür diesen Block:\n\n* Mapping-Aktion darf Runtime-Metadaten schreiben.\n* Keine produktive Portfolio-Position schreiben.\n* Keine Transaktionsänderung.\n\n## 3. FX-Behandlung für die 3 True-Wealth-Positionen\n\nBitte für die 3 importierten Positionen prüfen:\n\n* currency_original\n* snapshot_date\n* benötigte FX-Paare zu CHF\n* existiert FX-Rate?\n* ist ETF/Instrument CHF-hedged?\n* falls nein: missing_fx bleibt korrekt\n* falls CHF-hedged: FX-Behandlung methodisch markieren, nicht blind freien FX-PnL ausweisen\n\nBitte zwei Wege vorbereiten:\n\nA. Automatischer FX-Provider\n\n* Provider-Abstraktion nutzen\n* historische FX-Rates für Snapshot-Datum holen\n* lokal in fx_rates speichern\n* kein Live-API im Dashboard\n* Rate-Limit/Backoff beachten\n* Paywall/403/Rate-Limit-Fehler führen zu manual_override_required, nicht Crash\n\nB. Manueller FX-Override\n\n* falls kein Provider konfiguriert ist oder historische Daten nicht verfügbar sind\n* FX manuell eintragbar\n* Notiz Pflicht\n* Audit-Log Pflicht\n* fx_source = manual_override\n* klar im Dashboard markieren\n\nBitte für diesen Schritt nicht raten. Wenn kein freigegebener FX-Provider/API-Key vorhanden ist, bitte nur die manuelle Override-Maske vorbereiten und missing_fx beziehungsweise manual_override_required bestehen lassen.\n\n## 4. Market-Price-Update für die 3 True-Wealth-Positionen\n\nSobald Provider-Symbole vorhanden sind:\n\n* Market Price nur für diese 3 Instrumente abrufen oder per Mock/Dry Run prüfen\n* lokale Speicherung in market_prices\n* keine Live-API im Dashboard\n* Missing/Stale Alerts aktualisieren\n* Alert-Dedupe respektieren\n* keine Preise im Chat\n* Delisted/suspended/exclude_from_auto_price_update Instrumente nicht abrufen\n* Falls Preisprovider wiederholt keine Daten liefert:\n\n  * nicht täglich neue Alerts erzeugen\n  * instrument_status = suspected_inactive oder Review-Flag vorbereiten\n  * Manual Review Queue Item erzeugen\n\nCLI soll funktionieren:\n\n* finance update-market-prices --only-isin <ISIN>\n* finance update-market-prices --limit 3\n* finance update-market-prices --dry-run\n\nBitte berichten nur aggregiert:\n\n* Positionen total\n* Instrumente mit Provider-Symbol\n* Instrumente mit lokalem Preis\n* Instrumente ohne Preis\n* Instrumente excluded/delisted/suspended\n* aktive missing_market_price Alerts vorher/nachher\n* keine Preise/Werte/Mengen\n\n## 5. Valuation Status für die 3 Positionen\n\nBitte die Positionen danach klassifizieren:\n\n* not_valuable\n* partially_valuable\n* valuable\n\nDefinition:\n\nvaluable nur wenn:\n\n* quantity vorhanden\n* instrument vorhanden\n* market price vorhanden\n* FX vorhanden oder not_needed / methodisch sauber bei hedged\n* price/fx timestamps aligned oder acceptable\n* keine blockierenden Quality Flags für Bewertung\n* instrument_status active oder bewusst mit valuation_policy bewertet\n\npartially_valuable wenn:\n\n* Bestand vorhanden\n* aber FX, Market Price, Hedge Status, Timestamp Alignment oder Cost Basis unvollständig/unsicher ist\n\nnot_valuable wenn:\n\n* Quantity, Instrument oder Account fehlt\n* Instrumentstatus Bewertung ausschließt\n* Provider-Mapping fehlt und kein Manual Value vorhanden ist\n\nWichtig:\nAuch wenn Marktwert berechnet werden kann, bleibt historische Performance unvollständig, solange cost_basis_uncertain und snapshot_only gelten.\n\nBitte keine Scheingenauigkeit:\n\n* Total Return nur anzeigen, wenn methodisch sauber.\n* Sonst klar „unvollständig“ / warning.\n\n## 6. Dashboard-Erweiterung\n\nBitte Equity/Portfolio-Seite so erweitern, dass für jede Position sichtbar ist:\n\n* Instrument vorhanden\n* Provider-Symbol-Status\n* Hedge-Status\n* Instrument-Status\n* FX-Status\n* Market-Price-Status\n* Price/FX Timestamp Alignment Status\n* Corporate-Action-Status\n* Valuation Policy\n* Valuation Status\n* Data-Quality Flags\n* Snapshot-only Hinweis\n* Cost-Basis-Unsicherheit\n\nKeine echten Werte im Chat. In der Runtime-UI dürfen Werte angezeigt\nwerden.\n\n## 7. Data Quality Center\n\nBitte Data Quality Center aktualisieren:\n\n* missing_provider_symbol\n* missing_market_price\n* stale_market_price\n* missing_fx\n* historical_fx_unavailable\n* manual_override_required\n* stale_fx\n* stale_valuation\n* cost_basis_uncertain\n* snapshot_only\n* missing_isin\n* ambiguous_instrument_mapping\n* price_currency_mismatch\n* hedge_status_unknown\n* corporate_action_suspected\n* split_or_corporate_action_review_required\n* delisted_or_suspended\n\nAktionen:\n\n* Recheck\n* Resolve Fixed Alerts\n* Link zu Provider-Symbol-Mapping\n* Link zu FX-Override / FX-Provider\n* Link zu Instrument Status Review\n* Link zu Hedge Status Review\n\nProduktive Import-Buttons bleiben deaktiviert.\n\n## 8. Tests\n\nBitte Tests ergänzen für:\n\nProvider Symbol:\n\n* Provider-Symbol fehlt → Alert\n* Provider-Symbol Mapping bestätigt → Audit\n* Missing Provider Symbol Alert wird resolved\n\nHedge:\n\n* Hedge-Status unknown erzeugt Warning\n* CHF-hedged Instrument wird nicht wie unhedged FX-PnL behandelt\n* Hedge-Status Änderung erzeugt Audit\n\nFX:\n\n* FX missing bleibt aktiv ohne FX-Rate\n* FX Rate vorhanden → missing_fx resolved\n* Historical FX API 403/Paywall → manual_override_required, kein Crash\n* Manual FX Override braucht Notiz und Audit\n\nMarket Price:\n\n* Market Price vorhanden → missing_market_price resolved\n* Delisted/suspended Instrument wird nicht automatisch abgefragt\n* Last-known-price Policy erzeugt Warning, aber keine Alert-Flut\n\nTimestamp:\n\n* Price/FX timestamps aligned → OK\n* Price/FX timestamps zu weit auseinander → stale_valuation Alert\n\nCorporate Actions:\n\n* Preisbewegung >25 % zwischen lokalen Preisen erzeugt corporate_action_suspected\n* keine automatische Split-Korrektur im MVP\n\nValuation:\n\n* Valuation Status not_valuable / partially_valuable / valuable\n* Total Return bleibt unvollständig bei snapshot_only / cost_basis_uncertain\n* Dashboard zeigt Status ohne Live-API\n* Git-Safety OK\n\n## 9. Produktiver vorsichtiger Lauf\n\nBitte gegen Runtime-DB ausführen:\n\n* Provider-Symbol-Status prüfen\n* Hedge-Status prüfen\n* Instrument-Status prüfen\n* FX-Status prüfen\n* Market-Price-Status prüfen\n* Timestamp-Alignment prüfen, soweit Daten vorhanden\n* Corporate-Action-Status prüfen, soweit Daten vorhanden\n* keine Massen-API\n* keine weiteren Imports\n\nWenn keine Provider-Symbole vorhanden sind:\n\n* nicht raten\n* Mapping-Review vorbereiten\n* Status bleibt missing_provider_symbol\n\nWenn Provider-Symbole vorhanden oder bestätigt sind:\n\n* gezieltes Market-Price-Update für diese 3 Instrumente\n* keine Preise im Chat\n\n## 10. Nach Abschluss\n\nBitte ausführen:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nWenn Code geändert wurde:\n\n* Commit\n* Push\n\nBitte berichten:\n\n* implementierte Module\n* neue/geänderte Dateien\n* Tests\n* Testergebnis\n* Git-Safety\n* Commit Hash\n* Push Status\n* True-Wealth-Positionen total\n* Provider-Symbol-Status aggregiert\n* Hedge-Status aggregiert\n* Instrument-Status aggregiert\n* FX-Status aggregiert\n* Market-Price-Status aggregiert\n* Timestamp-Alignment-Status aggregiert\n* Corporate-Action-Status aggregiert\n* Valuation-Status aggregiert\n* aktive Alerts nachher\n* nächste Empfehlung\n\nKeine echten Mengen, Preise, Werte, Kontostände oder sensitiven Inhalte im Chat."
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      "content": "{\"content\": \"   300|        row = conn.execute(sql).fetchone()\\n   301|        count = int(row[\\\"c\\\"] or 0) if row else 0\\n   302|        sev = severity if count else \\\"ok\\\"\\n   303|        items.append({\\\"check\\\": label, \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   304|    for flag_row in get_review_quality_flag_counts(conn):\\n   305|        count = int(flag_row[\\\"open_items\\\"] or 0)\\n   306|        items.append({\\\"check\\\": f\\\"Review Flag: {flag_row['quality_flag']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   307|    for ready in get_review_readiness_counts(conn):\\n   308|        count = int(ready[\\\"count\\\"] or 0)\\n   309|        sev = \\\"ok\\\" if ready[\\\"readiness_status\\\"] in {\\\"ready_for_import\\\", \\\"ignored\\\"} else (\\\"warnung\\\" if count else \\\"ok\\\")\\n   310|        items.append({\\\"check\\\": f\\\"Review Readiness: {ready['readiness_status']}\\\", \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   311|    for source in get_ready_for_import_by_source(conn):\\n   312|        if int(source[\\\"total\\\"] or 0) and int(source[\\\"ready_for_import\\\"] or 0) == 0:\\n   313|            items.append({\\\"check\\\": f\\\"Quelle ohne ready_for_import: {source['source_platform']}\\\", \\\"count\\\": source[\\\"total\\\"], \\\"severity\\\": \\\"warnung\\\"})\\n   314|    missing_snapshot = conn.execute(\\\"SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'\\\").fetchone()\\n   315|    count = int(missing_snapshot[\\\"c\\\"] or 0) if missing_snapshot else 0\\n   316|    items.append({\\\"check\\\": \\\"Dry Runs ohne Snapshot Date\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   317|    return items\\n   318|\\n   319|\\n   320|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n   321|    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\n   322|\\n   323|    return build_import_wizard_summary(conn)\\n   324|\\n   325|\\n   326|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:\\n   327|    from jarvis_finance.imports.broker_mapping import get_manual_review_queue\\n   328|\\n   329|    return get_manual_review_queue(conn)\\n   330|\\n   331|\\n   332|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n   333|    from jarvis_finance.imports.broker_mapping import get_dry_run_sessions\\n   334|\\n   335|    return get_dry_run_sessions(conn, limit=limit)\\n   336|\\n   337|\\n   338|def get_safe_mode_status(conn: Connection) -> dict[str, str]:\\n   339|    backup = conn.execute(\\\"SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n   340|    return {\\n   341|        \\\"db_mode\\\": \\\"Runtime\\\",\\n   342|        \\\"write_mode\\\": \\\"Read-only\\\",\\n   343|        \\\"last_backup_at\\\": backup[\\\"created_at\\\"] if backup else \\\"nicht verfügbar\\\",\\n   344|        \\\"git_safety_status\\\": \\\"zuletzt OK / CLI prüfen\\\",\\n   345|        \\\"data_location\\\": \\\"Echte Daten liegen außerhalb Git\\\",\\n   346|    }\\n   347|\\n   348|\\n   349|def get_broker_review_items(conn: Connection, limit: int = 100, **filters) -> list[dict[str, str]]:\\n   350|    from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items\\n   351|\\n   352|    return _items(conn, limit=limit, **filters)\\n   353|\\n   354|\\n   355|def get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:\\n   356|    from jarvis_finance.imports.broker_mapping import get_review_readiness_counts as _counts\\n   357|\\n   358|    return _counts(conn)\\n   359|\\n   360|\\n   361|def get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:\\n   362|    from jarvis_finance.imports.broker_mapping import get_ready_for_import_by_source as _counts\\n   363|\\n   364|    return _counts(conn)\\n   365|\\n   366|\\n   367|def get_review_quality_flag_counts(conn: Connection) -> list[dict[str, str]]:\\n   368|    from jarvis_finance.imports.broker_mapping import aggregate_review_quality_flags\\n   369|\\n   370|    return [{\\\"quality_flag\\\": k, \\\"open_items\\\": str(v)} for k, v in sorted(aggregate_review_quality_flags(conn).items())]\\n   371|\\n   372|\\n   373|def get_command_center_summary(conn: Connection) -> dict[str, str]:\\n   374|    cash_rows = get_cash_overview(conn)\\n   375|    crypto_rows = get_crypto_overview(conn)\\n   376|    cash_total = sum(d(r[\\\"amount_chf\\\"]) for r in cash_rows if r[\\\"amount_chf\\\"])\\n   377|    crypto_total = sum(d(r[\\\"market_value_chf\\\"]) for r in crypto_rows if r[\\\"market_value_chf\\\"])\\n   378|    alert_counts = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n   379|    quality = get_data_quality(conn)\\n   380|    return {\\n   381|        \\\"base_currency\\\": \\\"CHF\\\",\\n   382|        \\\"cash_total_chf\\\": dec_text(cash_total, \\\"0.01\\\"),\\n   383|        \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n   384|        \\\"total_value_chf\\\": dec_text(cash_total + crypto_total, \\\"0.01\\\"),\\n   385|        \\\"active_alerts\\\": \\\", \\\".join(f\\\"{r['priority']}: {r['c']}\\\" for r in alert_counts) or \\\"0\\\",\\n   386|        \\\"data_quality_status\\\": \\\"kritisch\\\" if any(i[\\\"severity\\\"] == \\\"kritisch\\\" and i[\\\"count\\\"] != \\\"0\\\" for i in quality) else (\\\"warnung\\\" if any(i[\\\"severity\\\"] == \\\"warnung\\\" and i[\\\"count\\\"] != \\\"0\\\" for i in quality) else \\\"ok\\\"),\\n   387|        \\\"crypto_price_data_as_of\\\": max((r[\\\"fetched_at\\\"] for r in crypto_rows if r.get(\\\"fetched_at\\\")), default=\\\"\\\"),\\n   388|    }\\n   389|\", \"total_lines\": 388, \"file_size\": 20267, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"   245|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n   246|    return rowdicts(conn.execute(\\n   247|        \\\"\\\"\\\"\\n   248|        SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n   249|               occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n   250|        FROM alerts\\n   251|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n   252|        \\\"\\\"\\\"\\n   253|    ).fetchall())\\n   254|\\n   255|\\n   256|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   257|    rows = conn.execute(\\n   258|        \\\"\\\"\\\"\\n   259|        SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n   260|               confirmed, created_by, quality_status\\n   261|        FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n   262|        \\\"\\\"\\\", (limit,)\\n   263|    ).fetchall()\\n   264|    out: list[dict[str, str]] = []\\n   265|    for row in rows:\\n   266|        item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n   267|        for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n   268|            if item[key]:\\n   269|                try:\\n   270|                    item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n   271|                except json.JSONDecodeError:\\n   272|                    pass\\n   273|        out.append(item)\\n   274|    return out\\n   275|\\n   276|\\n   277|def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\n   278|    items: list[dict[str, str]] = []\\n   279|    checks = [\\n   280|        (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n   281|        (\\\"fehlende/stale FX Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')\\\", \\\"kritisch\\\"),\\n   282|        (\\\"fehlende Provider-Symbole\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n   283|        (\\\"fehlende Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'\\\", \\\"warnung\\\"),\\n   284|        (\\\"stale Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'\\\", \\\"warnung\\\"),\\n   285|        (\\\"ambiguous Instrument Mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'\\\", \\\"warnung\\\"),\\n   286|        (\\\"price currency mismatch\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'\\\", \\\"warnung\\\"),\\n   287|        (\\\"snapshot_only Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'\\\", \\\"info\\\"),\\n   288|        (\\\"cost_basis_uncertain Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'\\\", \\\"warnung\\\"),\\n   289|        (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\n   290|        (\\\"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   291|        (\\\"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   292|        (\\\"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   293|        (\\\"snapshot_only Positionen\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'\\\", \\\"info\\\"),\\n   294|        (\\\"cost_basis_uncertain\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   295|        (\\\"aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active'\\\", \\\"warnung\\\"),\\n   296|        (\\\"resolved Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'\\\", \\\"ok\\\"),\\n   297|        (\\\"alte aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')\\\", \\\"info\\\"),\\n   298|    ]\\n   299|    for label, sql, severity in checks:\\n   300|        row = conn.execute(sql).fetchone()\\n   301|        count = int(row[\\\"c\\\"] or 0) if row else 0\\n   302|        sev = severity if count else \\\"ok\\\"\\n   303|        items.append({\\\"check\\\": label, \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   304|    for flag_row in get_review_quality_flag_counts(conn):\\n   305|        count = int(flag_row[\\\"open_items\\\"] or 0)\\n   306|        items.append({\\\"check\\\": f\\\"Review Flag: {flag_row['quality_flag']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   307|    for ready in get_review_readiness_counts(conn):\\n   308|        count = int(ready[\\\"count\\\"] or 0)\\n   309|        sev = \\\"ok\\\" if ready[\\\"readiness_status\\\"] in {\\\"ready_for_import\\\", \\\"ignored\\\"} else (\\\"warnung\\\" if count else \\\"ok\\\")\\n   310|        items.append({\\\"check\\\": f\\\"Review Readiness: {ready['readiness_status']}\\\", \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   311|    for source in get_ready_for_import_by_source(conn):\\n   312|        if int(source[\\\"total\\\"] or 0) and int(source[\\\"ready_for_import\\\"] or 0) == 0:\\n   313|            items.append({\\\"check\\\": f\\\"Quelle ohne ready_for_import: {source['source_platform']}\\\", \\\"count\\\": source[\\\"total\\\"], \\\"severity\\\": \\\"warnung\\\"})\\n   314|    missing_snapshot = conn.execute(\\\"SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'\\\").fetchone()\\n   315|    count = int(missing_snapshot[\\\"c\\\"] or 0) if missing_snapshot else 0\\n   316|    items.append({\\\"check\\\": \\\"Dry Runs ohne Snapshot Date\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   317|    return items\\n   318|\\n   319|\\n   320|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n   321|    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\n   322|\\n   323|    return build_import_wizard_summary(conn)\\n   324|\\n   325|\\n   326|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:\\n   327|    from jarvis_finance.imports.broker_mapping import get_manual_review_queue\\n   328|\\n   329|    return get_manual_review_queue(conn)\\n   330|\\n   331|\\n   332|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n   333|    from jarvis_finance.imports.broker_mapping import get_dry_run_sessions\\n   334|\\n   335|    return get_dry_run_sessions(conn, limit=limit)\\n   336|\\n   337|\\n   338|def get_safe_mode_status(conn: Connection) -> dict[str, str]:\\n   339|    backup = conn.execute(\\\"SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n   340|    return {\\n   341|        \\\"db_mode\\\": \\\"Runtime\\\",\\n   342|        \\\"write_mode\\\": \\\"Read-only\\\",\\n   343|        \\\"last_backup_at\\\": backup[\\\"created_at\\\"] if backup else \\\"nicht verfügbar\\\",\\n   344|        \\\"git_safety_status\\\": \\\"zuletzt OK / CLI prüfen\\\",\\n   345|\", \"total_lines\": 388, \"file_size\": 20267, \"truncated\": true, \"hint\": \"Use offset=345 to continue reading (showing 245-344 of 388 lines)\", \"is_binary\": false, \"is_image\": false}",
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          "call_id": "call_rJ3IFj555kX2us64gLI20O9i",
          "response_item_id": "fc_0134d7700e125cf0016a070a714f0c8191a8fcc7e563b7d989",
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          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"        (\\\"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        (\\\"historical FX unavailable\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='historical_fx_unavailable'\\\", \\\"kritisch\\\"),\\n        (\\\"manual override required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_override_required'\\\", \\\"kritisch\\\"),\",\"old_string\":\"        (\\\"fehlende/stale FX Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')\\\", \\\"kritisch\\\"),\",\"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@@ -278,7 +278,9 @@\\n     items: list[dict[str, str]] = []\\n     checks = [\\n         (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n-        (\\\"fehlende/stale FX Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')\\\", \\\"kritisch\\\"),\\n+        (\\\"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+        (\\\"historical FX unavailable\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='historical_fx_unavailable'\\\", \\\"kritisch\\\"),\\n+        (\\\"manual override required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_override_required'\\\", \\\"kritisch\\\"),\\n         (\\\"fehlende Provider-Symbole\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n         (\\\"fehlende Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'\\\", \\\"warnung\\\"),\\n         (\\\"stale Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'\\\", \\\"warnung\\\"),\\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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      "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@@ -286,6 +286,11 @@\\n         (\\\"stale Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'\\\", \\\"warnung\\\"),\\n         (\\\"ambiguous Instrument Mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'\\\", \\\"warnung\\\"),\\n         (\\\"price currency mismatch\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'\\\", \\\"warnung\\\"),\\n+        (\\\"hedge status unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='hedge_status_unknown'\\\", \\\"warnung\\\"),\\n+        (\\\"stale valuation\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_valuation'\\\", \\\"warnung\\\"),\\n+        (\\\"corporate action suspected\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='corporate_action_suspected'\\\", \\\"warnung\\\"),\\n+        (\\\"split/corporate action review\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='split_or_corporate_action_review_required'\\\", \\\"warnung\\\"),\\n+        (\\\"delisted/suspended\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='delisted_or_suspended'\\\", \\\"warnung\\\"),\\n         (\\\"snapshot_only Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'\\\", \\\"info\\\"),\\n         (\\\"cost_basis_uncertain Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'\\\", \\\"warnung\\\"),\\n         (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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            "arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom decimal import Decimal\\n\\nimport pytest\\n\\nfrom jarvis_finance.fx.overrides import set_manual_fx_override\\nfrom jarvis_finance.fx.providers import HistoricalFxUnavailable, MockFxProvider\\nfrom jarvis_finance.fx.rates import update_fx_rates, upsert_fx_rate\\nfrom jarvis_finance.ledger.positions import calculate_positions\\nfrom jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality, update_instrument_metadata\\nfrom jarvis_finance.market_data.mappings import confirm_instrument_price_mapping, ensure_instrument_price_mapping_quality\\nfrom jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices, store_market_price\\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','Broker','broker','CHF','now')\\\")\\n    conn.execute(\\\"INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Account','brokerage','CHF','now')\\\")\\n    conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,exchange,currency,created_at) VALUES('usd1','ETF','USD ETF','USETF','US0000000001','NYSE','USD','now')\\\")\\n    return conn\\n\\n\\ndef add_snapshot(conn, *, fx_status='missing', fx_rate=None):\\n    conn.execute(\\n        \\\"\\\"\\\"\\n        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, fx_rate_to_chf, source_type, is_confirmed, quality_status, created_at)\\n        VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','2','USD',?,?, 'true_wealth',1,'warning','now')\\n        \\\"\\\"\\\",\\n        (fx_status, fx_rate),\\n    )\\n\\n\\ndef test_provider_symbol_missing_alert_and_confirm_resolves_with_audit() -> None:\\n    conn = setup_conn()\\n    result = ensure_instrument_price_mapping_quality(conn, instrument_id='usd1')\\n    assert result.mapping_status == 'missing_provider_symbol'\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'\\\").fetchone()['c'] == 1\\n\\n    confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='confirmed in pilot', hedge_status='unhedged', instrument_status='active')\\n\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='confirm_instrument_price_mapping'\\\").fetchone()['c'] == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'\\\").fetchone()['c'] == 0\\n\\n\\ndef test_hedge_status_unknown_warns_and_change_audits() -> None:\\n    conn = setup_conn()\\n    ensure_instrument_metadata_quality(conn, instrument_id='usd1')\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='hedge_status_unknown' AND status='active'\\\").fetchone()['c'] == 1\\n\\n    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='hedged', hedged_to_currency='CHF', note='manual hedge confirmation')\\n\\n    inst = conn.execute(\\\"SELECT hedge_status,is_currency_hedged,hedged_to_currency FROM instruments WHERE instrument_id='usd1'\\\").fetchone()\\n    assert inst['hedge_status'] == 'hedged'\\n    assert inst['is_currency_hedged'] == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='update_instrument_metadata'\\\").fetchone()['c'] == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='hedge_status_unknown' AND status='active'\\\").fetchone()['c'] == 0\\n\\n\\ndef test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl() -> None:\\n    conn = setup_conn()\\n    add_snapshot(conn, fx_status='ok', fx_rate='0.9')\\n    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='hedged', hedged_to_currency='CHF', instrument_status='active', note='hedged review')\\n    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')\\n    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.91'), provider='mock', rate_type='close')\\n\\n    pos = calculate_positions(conn).positions[('a1', 'usd1')]\\n\\n    assert pos.market_value_chf is not None\\n    assert 'currency_hedged_fx_attribution' in pos.quality_warnings\\n    assert pos.total_return_chf is None\\n\\n\\ndef test_historical_fx_unavailable_sets_manual_override_required_without_crash() -> None:\\n    conn = setup_conn()\\n    add_snapshot(conn)\\n    provider = MockFxProvider({}, unavailable={('USD', 'CHF', '2025-12-31')})\\n\\n    result = update_fx_rates(conn, provider=provider, currencies=['USD'], rate_date='2025-12-31')\\n\\n    assert result.warning_count == 1\\n    row = conn.execute(\\\"SELECT quality_status,error_status FROM fx_rates WHERE base_currency='USD' AND quote_currency='CHF'\\\").fetchone()\\n    assert row['quality_status'] == 'manual_override_required'\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='historical_fx_unavailable' AND status='active'\\\").fetchone()['c'] == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='manual_override_required' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_manual_fx_override_requires_note_audits_and_resolves_manual_required() -> None:\\n    conn = setup_conn()\\n    add_snapshot(conn)\\n    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('m1','kritisch','fx','instrument','usd1','manual_override_required','manual','active','now')\\\")\\n    with pytest.raises(ValueError):\\n        set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='')\\n\\n    set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='statement rate')\\n\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='manual_fx_override'\\\").fetchone()['c'] == 1\\n    assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='m1'\\\").fetchone()['status'] == 'resolved'\\n\\n\\ndef test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood() -> None:\\n    conn = setup_conn()\\n    confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='map', hedge_status='unhedged', instrument_status='active')\\n    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mp1','warnung','market_data','instrument','usd1','missing_market_price','missing','active','now')\\\")\\n    result = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': Decimal('10')}), asset_class='etf', price_date='2026-01-02')\\n    assert result.updated_count == 1\\n    assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='mp1'\\\").fetchone()['status'] == 'resolved'\\n\\n    update_instrument_metadata(conn, instrument_id='usd1', instrument_status='delisted', valuation_policy='exclude_from_auto_price_update', note='status review')\\n    result2 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')\\n    result3 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')\\n    assert result2.excluded_count == 1\\n    assert result3.excluded_count == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='delisted_or_suspended' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_timestamp_alignment_and_stale_valuation_alert() -> None:\\n    conn = setup_conn()\\n    add_snapshot(conn, fx_status='ok', fx_rate='0.9')\\n    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', note='review')\\n    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')\\n    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')\\n    pos = calculate_positions(conn).positions[('a1', 'usd1')]\\n    assert pos.valuation_timestamp_status in {'aligned', 'acceptable'}\\n\\n    conn.execute(\\\"DELETE FROM fx_rates\\\")\\n    conn.execute(\\\"UPDATE alerts SET status='resolved'\\\")\\n    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-01', rate=Decimal('0.9'), provider='mock', rate_type='close')\\n    pos2 = calculate_positions(conn, max_price_fx_time_delta_hours=1).positions[('a1', 'usd1')]\\n    assert pos2.valuation_timestamp_status == 'stale_mismatch'\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='stale_valuation' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_corporate_action_large_price_move_flags_no_auto_split_correction() -> None:\\n    conn = setup_conn()\\n    store_market_price(conn, instrument_id='usd1', price_date='2026-01-01', close=Decimal('100'), currency='USD', provider='mock', provider_symbol='USETF.N')\\n    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('50'), currency='USD', provider='mock', provider_symbol='USETF.N')\\n\\n    inst = conn.execute(\\\"SELECT corporate_action_status,split_or_corporate_action_review_required FROM instruments WHERE instrument_id='usd1'\\\").fetchone()\\n    assert inst['corporate_action_status'] == 'suspected'\\n    assert inst['split_or_corporate_action_review_required'] == 1\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='corporate_action_suspected' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot() -> None:\\n    conn = setup_conn()\\n    add_snapshot(conn, fx_status='ok', fx_rate='0.9')\\n    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', corporate_action_status='none_known', note='review')\\n    pos_missing = calculate_positions(conn).positions[('a1', 'usd1')]\\n    assert pos_missing.valuation_status == 'partially_valuable'\\n\\n    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')\\n    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')\\n    pos = calculate_positions(conn).positions[('a1', 'usd1')]\\n    assert pos.valuation_status == 'valuable'\\n    assert pos.total_return_chf is None\\n    assert 'snapshot_only' in pos.quality_warnings\\n\\n    update_instrument_metadata(conn, instrument_id='usd1', instrument_status='delisted', valuation_policy='exclude_from_auto_price_update', note='exclude')\\n    pos_blocked = calculate_positions(conn).positions[('a1', 'usd1')]\\n    assert pos_blocked.valuation_status == 'not_valuable'\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_true_wealth_valuation_pilot.py\"}"
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      "content": "{\"output\": \"..F..FF.F.............                                                   [100%]\\n=================================== FAILURES ===================================\\n_______ test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl ________\\n\\n    def test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl() -> None:\\n        conn = setup_conn()\\n        add_snapshot(conn, fx_status='ok', fx_rate='0.9')\\n        update_instrument_metadata(conn, instrument_id='usd1', hedge_status='hedged', hedged_to_currency='CHF', instrument_status='active', note='hedged review')\\n        store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')\\n        upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.91'), provider='mock', rate_type='close')\\n    \\n>       pos = calculate_positions(conn).positions[('a1', 'usd1')]\\n              ^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_true_wealth_valuation_pilot.py:70: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/ledger/positions.py:211: in calculate_positions\\n    pos.valuation_timestamp_status = _timestamp_status(market[\\\"price_timestamp\\\"] or market[\\\"price_date\\\"], fx_row[\\\"rate_timestamp\\\"] or fx_row[\\\"rate_date\\\"], max_delta_hours=max_price_fx_time_delta_hours)\\n                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nprice_ts = '2026-01-02T20:00:00+00:00', fx_ts = '2026-01-02'\\n\\n    def _timestamp_status(price_ts: str | None, fx_ts: str | None, *, max_delta_hours: int = 24) -> str:\\n        if not price_ts or not fx_ts:\\n            return \\\"missing_timestamp\\\"\\n        try:\\n            p = datetime.fromisoformat(price_ts.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n            f = datetime.fromisoformat(fx_ts.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n        except ValueError:\\n            return \\\"missing_timestamp\\\"\\n>       delta_hours = abs((p - f).total_seconds()) / 3600\\n                           ^^^^^\\nE       TypeError: can't subtract offset-naive and offset-aware datetimes\\n\\nsrc/jarvis_finance/ledger/positions.py:108: TypeError\\n_ test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood _\\n\\n    def test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood() -> None:\\n        conn = setup_conn()\\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='map', hedge_status='unhedged', instrument_status='active')\\n        conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mp1','warnung','market_data','instrument','usd1','missing_market_price','missing','active','now')\\\")\\n        result = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': Decimal('10')}), asset_class='etf', price_date='2026-01-02')\\n        assert result.updated_count == 1\\n        assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='mp1'\\\").fetchone()['status'] == 'resolved'\\n    \\n        update_instrument_metadata(conn, instrument_id='usd1', instrument_status='delisted', valuation_policy='exclude_from_auto_price_update', note='status review')\\n        result2 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')\\n        result3 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')\\n>       assert result2.excluded_count == 1\\nE       AssertionError: assert 0 == 1\\nE        +  where 0 = MarketPriceRefreshResult(asset_class='etf', total_mappings=1, updated_count=0, skipped_count=0, excluded_count=0, cached_count=0, stale_count=0, warning_count=1, error_count=0, dry_run=False, warnings=['usd1'], errors=[]).excluded_count\\n\\ntests/unit/test_true_wealth_valuation_pilot.py:115: AssertionError\\n______________ test_timestamp_alignment_and_stale_valuation_alert ______________\\n\\n    def test_timestamp_alignment_and_stale_valuation_alert() -> None:\\n        conn = setup_conn()\\n        add_snapshot(conn, fx_status='ok', fx_rate='0.9')\\n        update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', note='review')\\n        store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')\\n        upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')\\n>       pos = calculate_positions(conn).positions[('a1', 'usd1')]\\n              ^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_true_wealth_valuation_pilot.py:126: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/ledger/positions.py:211: in calculate_positions\\n    pos.valuation_timestamp_status = _timestamp_status(market[\\\"price_timestamp\\\"] or market[\\\"price_date\\\"], fx_row[\\\"rate_timestamp\\\"] or fx_row[\\\"rate_date\\\"], max_delta_hours=max_price_fx_time_delta_hours)\\n                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nprice_ts = '2026-01-02T20:00:00+00:00', fx_ts = '2026-01-02'\\n\\n    def _timestamp_status(price_ts: str | None, fx_ts: str | None, *, max_delta_hours: int = 24) -> str:\\n        if not price_ts or not fx_ts:\\n            return \\\"missing_timestamp\\\"\\n        try:\\n            p = datetime.fromisoformat(price_ts.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n            f = datetime.fromisoformat(fx_ts.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n        except ValueError:\\n            return \\\"missing_timestamp\\\"\\n>       delta_hours = abs((p - f).total_seconds()) / 3600\\n                           ^^^^^\\nE       TypeError: can't subtract offset-naive and offset-aware datetimes\\n\\nsrc/jarvis_finance/ledger/positions.py:108: TypeError\\n___ test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot ___\\n\\n    def test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot() -> None:\\n        conn = setup_conn()\\n        add_snapshot(conn, fx_status='ok', fx_rate='0.9')\\n        update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', corporate_action_status='none_known', note='review')\\n        pos_missing = calculate_positions(conn).positions[('a1', 'usd1')]\\n        assert pos_missing.valuation_status == 'partially_valuable'\\n    \\n        store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')\\n        upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')\\n>       pos = calculate_positions(conn).positions[('a1', 'usd1')]\\n              ^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_true_wealth_valuation_pilot.py:157: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/ledger/positions.py:211: in calculate_positions\\n    pos.valuation_timestamp_status = _timestamp_status(market[\\\"price_timestamp\\\"] or market[\\\"price_date\\\"], fx_row[\\\"rate_timestamp\\\"] or fx_row[\\\"rate_date\\\"], max_delta_hours=max_price_fx_time_delta_hours)\\n                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nprice_ts = '2026-01-02T20:00:00+00:00', fx_ts = '2026-01-02'\\n\\n    def _timestamp_status(price_ts: str | None, fx_ts: str | None, *, max_delta_hours: int = 24) -> str:\\n        if not price_ts or not fx_ts:\\n            return \\\"missing_timestamp\\\"\\n        try:\\n            p = datetime.fromisoformat(price_ts.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n            f = datetime.fromisoformat(fx_ts.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n        except ValueError:\\n            return \\\"missing_timestamp\\\"\\n>       delta_hours = abs((p - f).total_seconds()) / 3600\\n                           ^^^^^\\nE       TypeError: can't subtract offset-naive and offset-aware datetimes\\n\\nsrc/jarvis_finance/ledger/positions.py:108: TypeError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_true_wealth_valuation_pilot.py::test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl\\nFAILED tests/unit/test_true_wealth_valuation_pilot.py::test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood\\nFAILED tests/unit/test_true_wealth_valuation_pilot.py::test_timestamp_alignment_and_stale_valuation_alert\\nFAILED tests/unit/test_true_wealth_valuation_pilot.py::test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot\\n4 failed, 18 passed in 0.54s\", \"exit_code\": 1, \"error\": null}",
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n@@ -154,7 +154,7 @@\\n     asset = asset_class.lower()\\n     result = MarketPriceRefreshResult(asset_class=asset, dry_run=dry_run)\\n     query = \\\"\\\"\\\"\\n-        SELECT m.*, i.asset_class, i.isin, i.instrument_status, i.valuation_policy FROM instrument_price_mappings m\\n+        SELECT m.*, i.asset_class, i.isin, i.instrument_status AS current_instrument_status, i.valuation_policy AS current_valuation_policy FROM instrument_price_mappings m\\n         JOIN instruments i ON i.instrument_id=m.instrument_id\\n         WHERE LOWER(i.asset_class)=? AND m.mapping_status='mapped' AND m.provider_symbol IS NOT NULL\\n         ORDER BY i.isin, m.provider_symbol\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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          "response_item_id": "fc_0134d7700e125cf0016a070b05a21c81918057639bf64048b1",
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            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"        if mapping[\\\"current_instrument_status\\\"] in {\\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\"} or mapping[\\\"current_valuation_policy\\\"] == \\\"exclude_from_auto_price_update\\\":\",\"old_string\":\"        if mapping[\\\"instrument_status\\\"] in {\\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\"} or mapping[\\\"valuation_policy\\\"] == \\\"exclude_from_auto_price_update\\\":\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"}"
          }
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    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n@@ -167,7 +167,7 @@\\n     result.total_mappings = len(mappings)\\n     effective_date = price_date or utc_now()[:10]\\n     for mapping in mappings:\\n-        if mapping[\\\"instrument_status\\\"] in {\\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\"} or mapping[\\\"valuation_policy\\\"] == \\\"exclude_from_auto_price_update\\\":\\n+        if mapping[\\\"current_instrument_status\\\"] in {\\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\"} or mapping[\\\"current_valuation_policy\\\"] == \\\"exclude_from_auto_price_update\\\":\\n             result.excluded_count += 1\\n             result.skipped_count += 1\\n             if not dry_run:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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          "call_id": "call_XSglV97yP5UaQSobATRwZ8Wn",
          "response_item_id": "fc_0134d7700e125cf0016a070b0d7fe081919165440a992676e2",
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            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"evidence={\\\"instrument_status\\\": mapping[\\\"current_instrument_status\\\"], \\\"valuation_policy\\\": mapping[\\\"current_valuation_policy\\\"]}, fingerprint=f\\\"excluded:{mapping['current_instrument_status']}:{mapping['current_valuation_policy']}\\\"\",\"old_string\":\"evidence={\\\"instrument_status\\\": mapping[\\\"instrument_status\\\"], \\\"valuation_policy\\\": mapping[\\\"valuation_policy\\\"]}, fingerprint=f\\\"excluded:{mapping['instrument_status']}:{mapping['valuation_policy']}\\\"\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"}"
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    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n@@ -171,7 +171,7 @@\\n             result.excluded_count += 1\\n             result.skipped_count += 1\\n             if not dry_run:\\n-                create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=mapping[\\\"instrument_id\\\"], rule_id=\\\"delisted_or_suspended\\\", message=\\\"Instrument excluded from automatic market-price update.\\\", evidence={\\\"instrument_status\\\": mapping[\\\"instrument_status\\\"], \\\"valuation_policy\\\": mapping[\\\"valuation_policy\\\"]}, fingerprint=f\\\"excluded:{mapping['instrument_status']}:{mapping['valuation_policy']}\\\")\\n+                create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=mapping[\\\"instrument_id\\\"], rule_id=\\\"delisted_or_suspended\\\", message=\\\"Instrument excluded from automatic market-price update.\\\", evidence={\\\"instrument_status\\\": mapping[\\\"current_instrument_status\\\"], \\\"valuation_policy\\\": mapping[\\\"current_valuation_policy\\\"]}, fingerprint=f\\\"excluded:{mapping['current_instrument_status']}:{mapping['current_valuation_policy']}\\\")\\n             continue\\n         latest = conn.execute(\\\"SELECT * FROM market_prices WHERE instrument_id=? AND quality_status='fresh' ORDER BY price_date DESC, created_at DESC LIMIT 1\\\", (mapping[\\\"instrument_id\\\"],)).fetchone()\\n         if only_missing and latest:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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      "reasoning": "**Evaluating run processes**\n\nI need to perform a runtime recheck and see if the CLI output has been updated. I should check the update-market-prices output as it might not exclude anything. I need to run the product without import, just using scripts. It's important to include migration apply, and I might consider creating alerts while evaluating three positions. I have to be cautious about previous tool contexts and ensure to run checks for mapping quality and metadata for these three positions before aggregating results.",
      "finish_reason": "tool_calls",
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          "id": "rs_0134d7700e125cf0016a070b2b5a108191979058c5ca2ecbb0",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Evaluating run processes**\n\nI need to perform a runtime recheck and see if the CLI output has been updated. I should check the update-market-prices output as it might not exclude anything. I need to run the product without import, just using scripts. It's important to include migration apply, and I might consider creating alerts while evaluating three positions. I have to be cautious about previous tool contexts and ensure to run checks for mapping quality and metadata for these three positions before aggregating results."
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      ],
      "tool_calls": [
        {
          "id": "call_JNhlJ7oOBBBFWHMOx4mUWw3N",
          "call_id": "call_JNhlJ7oOBBBFWHMOx4mUWw3N",
          "response_item_id": "fc_0134d7700e125cf0016a070b2f2560819181bd955102ccc685",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom collections import Counter\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.market_data.mappings import ensure_instrument_price_mapping_quality\\nfrom jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality\\nfrom jarvis_finance.ledger.positions import calculate_positions\\ns=load_settings(); conn=connect(s.db_path); apply_migrations(conn)\\nids=[r['instrument_id'] for r in conn.execute(\\\"SELECT DISTINCT instrument_id FROM transactions WHERE transaction_type='initial_position_snapshot' AND source_type='broker_import_reviewed_snapshot' AND COALESCE(is_voided,0)=0 AND instrument_id IS NOT NULL\\\").fetchall()]\\nfor instrument_id in ids:\\n    ensure_instrument_price_mapping_quality(conn, instrument_id=instrument_id)\\n    ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)\\npositions=calculate_positions(conn).positions\\nrelevant=[p for (acct, inst), p in positions.items() if inst in set(ids)]\\nprovider=Counter('mapped' if conn.execute(\\\"SELECT 1 FROM instrument_price_mappings WHERE instrument_id=? AND mapping_status='mapped' AND provider_symbol IS NOT NULL LIMIT 1\\\", (inst,)).fetchone() else 'missing_provider_symbol' for inst in ids)\\nhedge=Counter(conn.execute(\\\"SELECT hedge_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['hedge_status'] for inst in ids)\\ninst_status=Counter(conn.execute(\\\"SELECT instrument_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['instrument_status'] for inst in ids)\\nfx=Counter('missing_fx' if 'missing_fx' in p.quality_warnings else 'ok_or_not_needed' for p in relevant)\\nmp=Counter('local_price' if p.market_price_original is not None else 'missing_market_price' for p in relevant)\\nts=Counter(p.valuation_timestamp_status for p in relevant)\\ncorp=Counter(p.corporate_action_status for p in relevant)\\nval=Counter(p.valuation_status for p in relevant)\\nalerts=Counter({r['rule_id']: r['c'] for r in conn.execute(\\\"SELECT rule_id, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY rule_id\\\").fetchall()})\\nprint('TRUE_WEALTH_TOTAL', len(ids))\\nfor name,c in [('provider',provider),('hedge',hedge),('instrument_status',inst_status),('fx',fx),('market_price',mp),('timestamp',ts),('corporate_action',corp),('valuation',val),('alerts',alerts)]:\\n    print(name, ' '.join(f'{k}={v}' for k,v in sorted(c.items())))\\nconn.close()\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main update-market-prices --asset-class etf --limit 3 --dry-run\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
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    },
    {
      "role": "tool",
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      "content": "{\"output\": \"TRUE_WEALTH_TOTAL 3\\nprovider missing_provider_symbol=3\\nhedge unknown=3\\ninstrument_status unknown=3\\nfx missing_fx=3\\nmarket_price missing_market_price=3\\ntimestamp missing_timestamp=3\\ncorporate_action not_checked=3\\nvaluation partially_valuable=3\\nalerts cost_basis_uncertain=3 hedge_status_unknown=6 missing_fx=3 missing_market_price=3 missing_provider_symbol=3 snapshot_only=3\\nMARKET_PRICE_UPDATE asset_class=etf total_mappings=0 updated=0 cached=0 skipped=0 stale=0 warnings=0 errors=0 dry_run=true\", \"exit_code\": 0, \"error\": null}",
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      "reasoning": "**Evaluating alert status**\n\nI’m trying to figure out the hedge status and whether there are six duplicates. It seems like I need to create an alert and deduplicate it based on a fingerprint, but there’s an entity that's different. I wonder why the system thinks there are active six alerts? Should I create an alert to deduplicate? I probably should use the deduplication key that includes the fingerprint. It’s important to read the alerts thoroughly to understand the situation better.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Evaluating alert status**\n\nI’m trying to figure out the hedge status and whether there are six duplicates. It seems like I need to create an alert and deduplicate it based on a fingerprint, but there’s an entity that's different. I wonder why the system thinks there are active six alerts? Should I create an alert to deduplicate? I probably should use the deduplication key that includes the fingerprint. It’s important to read the alerts thoroughly to understand the situation better.",
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          "summary": [
            {
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              "text": "**Evaluating alert status**\n\nI’m trying to figure out the hedge status and whether there are six duplicates. It seems like I need to create an alert and deduplicate it based on a fingerprint, but there’s an entity that's different. I wonder why the system thinks there are active six alerts? Should I create an alert to deduplicate? I probably should use the deduplication key that includes the fingerprint. It’s important to read the alerts thoroughly to understand the situation better."
            }
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          "function": {
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            "arguments": "{\"limit\":140,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/quality/alerts.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import hashlib\\n     4|import json\\n     5|import uuid\\n     6|from datetime import datetime, timezone\\n     7|from sqlite3 import Connection\\n     8|from typing import Any\\n     9|\\n    10|ACTIVE_STATUSES = {\\\"active\\\", \\\"resolved\\\", \\\"muted\\\"}\\n    11|\\n    12|\\n    13|def utc_now() -> str:\\n    14|    return datetime.now(timezone.utc).isoformat()\\n    15|\\n    16|\\n    17|def alert_fingerprint(evidence: dict[str, Any] | None = None, *, explicit: str | None = None) -> str:\\n    18|    if explicit:\\n    19|        payload = explicit\\n    20|    else:\\n    21|        payload = json.dumps(evidence or {}, sort_keys=True, ensure_ascii=False, default=str)\\n    22|    return hashlib.sha256(payload.encode(\\\"utf-8\\\")).hexdigest()[:32]\\n    23|\\n    24|\\n    25|def build_dedup_key(*, rule_id: str | None, entity_type: str | None, entity_id: str | None, priority: str, fingerprint: str) -> str:\\n    26|    payload = \\\"|\\\".join([rule_id or \\\"\\\", entity_type or \\\"\\\", entity_id or \\\"\\\", priority, fingerprint])\\n    27|    return hashlib.sha256(payload.encode(\\\"utf-8\\\")).hexdigest()[:40]\\n    28|\\n    29|\\n    30|def create_alert(\\n    31|    conn: Connection,\\n    32|    *,\\n    33|    priority: str,\\n    34|    category: str,\\n    35|    message: str,\\n    36|    entity_type: str | None = None,\\n    37|    entity_id: str | None = None,\\n    38|    rule_id: str | None = None,\\n    39|    evidence: dict[str, Any] | None = None,\\n    40|    fingerprint: str | None = None,\\n    41|) -> str:\\n    42|    now = utc_now()\\n    43|    fp = alert_fingerprint(evidence, explicit=fingerprint)\\n    44|    dedup_key = build_dedup_key(rule_id=rule_id, entity_type=entity_type, entity_id=entity_id, priority=priority, fingerprint=fp)\\n    45|    existing = conn.execute(\\n    46|        \\\"SELECT alert_id, status, occurrence_count FROM alerts WHERE dedup_key=? AND status IN ('active','resolved','muted') ORDER BY created_at DESC LIMIT 1\\\",\\n    47|        (dedup_key,),\\n    48|    ).fetchone()\\n    49|    evidence_json = json.dumps(evidence or {}, sort_keys=True, ensure_ascii=False, default=str)\\n    50|    if existing:\\n    51|        conn.execute(\\n    52|            \\\"UPDATE alerts SET last_seen_at=?, occurrence_count=COALESCE(occurrence_count,1)+1, evidence_json=? WHERE alert_id=?\\\",\\n    53|            (now, evidence_json, existing[\\\"alert_id\\\"]),\\n    54|        )\\n    55|        return existing[\\\"alert_id\\\"]\\n    56|    alert_id = str(uuid.uuid4())\\n    57|    conn.execute(\\n    58|        \\\"\\\"\\\"\\n    59|        INSERT INTO alerts(\\n    60|            alert_id, priority, category, entity_type, entity_id, rule_id, message,\\n    61|            evidence_json, status, created_at, last_seen_at, occurrence_count, fingerprint, dedup_key\\n    62|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, 'active', ?, ?, 1, ?, ?)\\n    63|        \\\"\\\"\\\",\\n    64|        (alert_id, priority, category, entity_type, entity_id, rule_id, message, evidence_json, now, now, fp, dedup_key),\\n    65|    )\\n    66|    return alert_id\\n    67|\\n    68|\\n    69|def resolve_alert(conn: Connection, alert_id: str, *, note: str | None = None) -> None:\\n    70|    conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=? WHERE alert_id=?\\\", (utc_now(), alert_id))\\n    71|    conn.commit()\\n    72|\\n    73|\\n    74|def mute_alert(conn: Connection, alert_id: str, *, muted_until: str | None = None) -> None:\\n    75|    conn.execute(\\\"UPDATE alerts SET status='muted', muted_until=? WHERE alert_id=?\\\", (muted_until, alert_id))\\n    76|    conn.commit()\\n    77|\", \"total_lines\": 76, \"file_size\": 2964, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_gu95X7PsNEkYpsKMT1sg6gPw"
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      "tool_calls": [
        {
          "id": "call_fouG9FHlQPJHZXHVY2jlYgrd",
          "call_id": "call_fouG9FHlQPJHZXHVY2jlYgrd",
          "response_item_id": "fc_0134d7700e125cf0016a070b4ca808819195bad28e3a1737be",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.imports.common import utc_now\\ns=load_settings(); conn=connect(s.db_path); apply_migrations(conn)\\nresolved=0\\nrows=conn.execute(\\\"SELECT entity_type, entity_id, rule_id, priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY entity_type, entity_id, rule_id, priority HAVING c>1\\\").fetchall()\\nfor g in rows:\\n    alerts=conn.execute(\\\"SELECT alert_id FROM alerts WHERE status='active' AND entity_type IS ? AND entity_id IS ? AND rule_id IS ? AND priority=? ORDER BY created_at ASC\\\", (g['entity_type'], g['entity_id'], g['rule_id'], g['priority'])).fetchall()\\n    for row in alerts[1:]:\\n        conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?\\\", (utc_now(), utc_now(), row['alert_id']))\\n        resolved += 1\\nconn.commit(); conn.close()\\nprint(f'ALERT_DEDUPE_RESOLVED {resolved}')\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"ALERT_DEDUPE_RESOLVED 3\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_fouG9FHlQPJHZXHVY2jlYgrd"
    },
    {
      "role": "user",
      "content": "[Your active task list was preserved across context compression]\n- [>] p0. Phase C2 repo/runtime context prüfen und Safety-Baseline erfassen (in_progress)\n- [ ] p1. Instrument-Metadaten/Hedge/Status/Valuation-Policy Modell + Migration implementieren (pending)\n- [ ] p2. Provider-Mapping/Review/FX/Market-Price Logik um C2-Risiken erweitern (pending)\n- [ ] p3. Valuation Status, Timestamp Alignment, Corporate-Action Flags und Dashboard/Data Quality Center erweitern (pending)\n- [ ] p4. Tests für Phase C2 ergänzen und ausführen (pending)\n- [ ] p5. Produktiven vorsichtigen Runtime-Recheck aggregiert ausführen (pending)\n- [ ] p6. Compile, pytest, Git-Safety, Commit und Push (pending)"
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      "finish_reason": "tool_calls",
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      "content": "{\"todos\": [{\"id\": \"p0\", \"content\": \"Phase C2 repo/runtime context prüfen und Safety-Baseline erfassen\", \"status\": \"completed\"}, {\"id\": \"p1\", \"content\": \"Instrument-Metadaten/Hedge/Status/Valuation-Policy Modell + Migration implementieren\", \"status\": \"completed\"}, {\"id\": \"p2\", \"content\": \"Provider-Mapping/Review/FX/Market-Price Logik um C2-Risiken erweitern\", \"status\": \"completed\"}, {\"id\": \"p3\", \"content\": \"Valuation Status, Timestamp Alignment, Corporate-Action Flags und Dashboard/Data Quality Center erweitern\", \"status\": \"completed\"}, {\"id\": \"p4\", \"content\": \"Tests für Phase C2 ergänzen und ausführen\", \"status\": \"completed\"}, {\"id\": \"p5\", \"content\": \"Produktiven vorsichtigen Runtime-Recheck aggregiert ausführen\", \"status\": \"in_progress\"}, {\"id\": \"p6\", \"content\": \"Compile, pytest, Git-Safety, Commit und Push\", \"status\": \"pending\"}], \"summary\": {\"total\": 7, \"pending\": 1, \"in_progress\": 1, \"completed\": 5, \"cancelled\": 0}}",
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          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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        {
          "id": "call_OU5szQKhY4E1BdHhEjoI8umC",
          "call_id": "call_OU5szQKhY4E1BdHhEjoI8umC",
          "response_item_id": "fc_0134d7700e125cf0016a070beb51f08191b3ec3e1d31e29bed",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom collections import Counter\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.market_data.mappings import ensure_instrument_price_mapping_quality\\nfrom jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality\\nfrom jarvis_finance.ledger.positions import calculate_positions\\ns=load_settings(); conn=connect(s.db_path); apply_migrations(conn)\\nids=[r['instrument_id'] for r in conn.execute(\\\"SELECT DISTINCT instrument_id FROM transactions WHERE transaction_type='initial_position_snapshot' AND source_type='broker_import_reviewed_snapshot' AND COALESCE(is_voided,0)=0 AND instrument_id IS NOT NULL\\\").fetchall()]\\nfor instrument_id in ids:\\n    ensure_instrument_price_mapping_quality(conn, instrument_id=instrument_id)\\n    ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)\\npositions=calculate_positions(conn).positions\\nrelevant=[p for (acct, inst), p in positions.items() if inst in set(ids)]\\nprovider=Counter('mapped' if conn.execute(\\\"SELECT 1 FROM instrument_price_mappings WHERE instrument_id=? AND mapping_status='mapped' AND provider_symbol IS NOT NULL LIMIT 1\\\", (inst,)).fetchone() else 'missing_provider_symbol' for inst in ids)\\nhedge=Counter(conn.execute(\\\"SELECT hedge_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['hedge_status'] for inst in ids)\\ninst_status=Counter(conn.execute(\\\"SELECT instrument_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['instrument_status'] for inst in ids)\\nfx=Counter('missing_fx' if 'missing_fx' in p.quality_warnings else 'ok_or_not_needed' for p in relevant)\\nmp=Counter('local_price' if p.market_price_original is not None else 'missing_market_price' for p in relevant)\\nts=Counter(p.valuation_timestamp_status for p in relevant)\\ncorp=Counter(p.corporate_action_status for p in relevant)\\nval=Counter(p.valuation_status for p in relevant)\\nalerts=Counter({r['rule_id']: r['c'] for r in conn.execute(\\\"SELECT rule_id, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY rule_id\\\").fetchall()})\\nprint('TRUE_WEALTH_TOTAL', len(ids))\\nfor name,c in [('provider',provider),('hedge',hedge),('instrument_status',inst_status),('fx',fx),('market_price',mp),('timestamp',ts),('corporate_action',corp),('valuation',val),('alerts',alerts)]:\\n    print(name, ' '.join(f'{k}={v}' for k,v in sorted(c.items())))\\nconn.close()\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        },
        {
          "id": "call_3cKHN9xFM5LrICrdenByt4vh",
          "call_id": "call_3cKHN9xFM5LrICrdenByt4vh",
          "response_item_id": "fc_0134d7700e125cf0016a070beb52248191908c5e48c1dc2e56",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"PYTHONPATH=src python -m jarvis_finance.cli.main update-market-prices --asset-class etf --limit 3 --dry-run\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"M src/jarvis_finance/dashboard/data.py\\n M src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\\n M src/jarvis_finance/fx/overrides.py\\n M src/jarvis_finance/fx/providers.py\\n M src/jarvis_finance/fx/rates.py\\n M src/jarvis_finance/ledger/positions.py\\n M src/jarvis_finance/market_data/mappings.py\\n M src/jarvis_finance/market_data/prices.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_schema.py\\n?? src/jarvis_finance/market_data/instruments.py\\n?? tests/unit/test_true_wealth_valuation_pilot.py\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_qN5IvFSIO1NqzlKzDj3Iyaim"
    },
    {
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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.prices import MockEquityPriceProvider, refresh_market_prices\\n    12|from jarvis_finance.quality.data_quality import check_crypto_data_quality\\n    13|from jarvis_finance.quality.git_safety import assert_safe, scan_path\\n    14|from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup\\n    15|from jarvis_finance.storage.database import connect\\n    16|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n    17|\\n    18|\\n    19|def main(argv: list[str] | None = None) -> int:\\n    20|    parser = argparse.ArgumentParser(prog=\\\"finance\\\")\\n    21|    sub = parser.add_subparsers(dest=\\\"command\\\", required=True)\\n    22|    sub.add_parser(\\\"init-db\\\")\\n    23|    sub.add_parser(\\\"migrate\\\")\\n    24|    scan = sub.add_parser(\\\"git-safety-scan\\\")\\n    25|    scan.add_argument(\\\"path\\\", nargs=\\\"?\\\", default=\\\".\\\")\\n    26|    prices = sub.add_parser(\\\"update-crypto-prices\\\")\\n    27|    prices.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n    28|    prices.add_argument(\\\"--max-age-seconds\\\", type=int, default=3600)\\n    29|    prices.add_argument(\\\"--sleep-seconds\\\", type=float, default=0.0)\\n    30|    prices.add_argument(\\\"--max-retries\\\", type=int, default=2)\\n    31|    prices.add_argument(\\\"--initial-backoff\\\", type=float, default=1.0)\\n    32|    prices.add_argument(\\\"--max-backoff\\\", type=float, default=8.0)\\n    33|    prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    34|    prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    35|    prices.add_argument(\\\"--only-symbol\\\")\\n    36|    prices.add_argument(\\\"--limit\\\", type=int)\\n    37|    prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    38|    dq = sub.add_parser(\\\"check-data-quality\\\")\\n    39|    dq.add_argument(\\\"--scope\\\", choices=[\\\"crypto\\\"], default=\\\"crypto\\\")\\n    40|    dq.add_argument(\\\"--resolve-fixed\\\", action=\\\"store_true\\\")\\n    41|    dq.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    42|    dq.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n    43|    dq.add_argument(\\\"--max-age-seconds\\\", type=int, default=86_400)\\n    44|    fx = sub.add_parser(\\\"update-fx-rates\\\")\\n    45|    fx.add_argument(\\\"--date\\\", dest=\\\"rate_date\\\")\\n    46|    fx.add_argument(\\\"--latest\\\", action=\\\"store_true\\\")\\n    47|    fx.add_argument(\\\"--missing-only\\\", action=\\\"store_true\\\")\\n    48|    fx.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    49|    fx.add_argument(\\\"--currency\\\", action=\\\"append\\\", dest=\\\"currencies\\\")\\n    50|    fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\\n    51|    fx.add_argument(\\\"--recheck-transactions\\\", action=\\\"store_true\\\")\\n    52|    fx.add_argument(\\\"--source-type\\\")\\n    53|    market_prices = sub.add_parser(\\\"update-market-prices\\\")\\n    54|    market_prices.add_argument(\\\"--asset-class\\\", choices=[\\\"etf\\\", \\\"equity\\\"], required=True)\\n    55|    market_prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    56|    market_prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    57|    market_prices.add_argument(\\\"--only-isin\\\")\\n    58|    market_prices.add_argument(\\\"--limit\\\", type=int)\\n    59|    market_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    60|    market_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n    61|    market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n    62|    sub.add_parser(\\\"backup-runtime-db\\\")\\n    63|    restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n    64|    restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n    65|    restore.add_argument(\\\"--yes\\\", action=\\\"store_true\\\")\\n    66|    verify = sub.add_parser(\\\"verify-backup\\\")\\n    67|    verify.add_argument(\\\"--file\\\", required=True)\\n    68|    args = parser.parse_args(argv)\\n    69|\\n    70|    if args.command in {\\\"init-db\\\", \\\"migrate\\\"}:\\n    71|        settings = load_settings()\\n    72|        ensure_runtime_dirs(settings)\\n    73|        conn = connect(settings.db_path)\\n    74|        apply_migrations(conn)\\n    75|        print(f\\\"SCHEMA_VERSION={get_schema_version(conn)}\\\")\\n    76|        return 0\\n    77|    if args.command == \\\"git-safety-scan\\\":\\n    78|        findings = scan_path(Path(args.path))\\n    79|        if findings:\\n    80|            for finding in findings:\\n    81|                print(f\\\"{finding.path}: {finding.reason}\\\")\\n    82|            return 1\\n    83|        assert_safe(Path(args.path))\\n    84|        print(\\\"GIT_SAFETY_OK\\\")\\n    85|        return 0\\n    86|    if args.command == \\\"update-crypto-prices\\\":\\n    87|        settings = load_settings()\\n    88|        ensure_runtime_dirs(settings)\\n    89|        conn = connect(settings.db_path)\\n    90|        try:\\n    91|            apply_migrations(conn)\\n    92|            result = refresh_crypto_prices(\\n    93|                conn,\\n    94|                provider=CoinGeckoClient(\\n    95|                    max_retries=args.max_retries,\\n    96|                    initial_backoff_seconds=args.initial_backoff,\\n    97|                    max_backoff_seconds=args.max_backoff,\\n    98|                ),\\n    99|                currency=args.currency,\\n   100|                max_age_seconds=args.max_age_seconds,\\n   101|                only_missing=args.only_missing,\\n   102|                only_stale=args.only_stale,\\n   103|                only_symbol=args.only_symbol,\\n   104|                limit=args.limit,\\n   105|                dry_run=args.dry_run,\\n   106|                sleep_seconds=args.sleep_seconds,\\n   107|            )\\n   108|            print(\\n   109|                \\\"CRYPTO_PRICE_UPDATE \\\"\\n   110|                f\\\"currency={result.currency} total_assets={result.total_assets} \\\"\\n   111|                f\\\"updated={result.updated_count} cached={result.cached_count} \\\"\\n   112|                f\\\"skipped={result.skipped_count} stale={result.stale_count} \\\"\\n   113|                f\\\"warnings={result.warning_count} errors={result.error_count} \\\"\\n   114|                f\\\"assets_still_missing_local_price={result.missing_local_price_count} \\\"\\n   115|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   116|            )\\n   117|            return 1 if result.error_count else 0\\n   118|        finally:\\n   119|            conn.close()\\n   120|    if args.command == \\\"update-fx-rates\\\":\\n   121|        settings = load_settings()\\n   122|        ensure_runtime_dirs(settings)\\n   123|        conn = connect(settings.db_path)\\n   124|        try:\\n   125|            apply_migrations(conn)\\n   126|            if args.recheck_transactions:\\n   127|                result = recheck_transaction_fx_status(conn, source_type=args.source_type, dry_run=args.dry_run)\\n   128|                print(\\n   129|                    \\\"FX_RECHECK \\\"\\n   130|                    f\\\"transactions={result.transaction_count} chf_positions={result.chf_positions} \\\"\\n   131|                    f\\\"foreign_currency_positions={result.foreign_currency_positions} \\\"\\n   132|                    f\\\"justified_missing_fx_alerts={result.justified_missing_fx_alerts} \\\"\\n   133|                    f\\\"false_positive_missing_fx_alerts={result.false_positive_missing_fx_alerts} \\\"\\n   134|                    f\\\"corrected_transactions={result.corrected_transactions} resolved_alerts={result.resolved_alerts} \\\"\\n   135|                    f\\\"audit_events={result.audit_events} dry_run={str(result.dry_run).lower()}\\\"\\n   136|                )\\n   137|                return 0\\n   138|            if not args.rate_date and not args.latest:\\n   139|                parser.error(\\\"update-fx-rates requires --date or --latest unless --recheck-transactions is used\\\")\\n   140|            mock_rates: dict[tuple[str, str, str], Decimal | None] = {}\\n   141|            for item in args.mock_rate:\\n   142|                base, rate = item.split(\\\"=\\\", 1)\\n   143|                mock_rates[(base.upper(), \\\"CHF\\\", args.rate_date or \\\"latest\\\")] = Decimal(rate)\\n   144|            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   145|            provider = MockFxProvider(mock_rates)\\n   146|            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   147|            print(\\n   148|                \\\"FX_RATE_UPDATE \\\"\\n   149|                f\\\"updated={result.updated_count} cached={result.cached_count} skipped={result.skipped_count} \\\"\\n   150|                f\\\"warnings={result.warning_count} errors={result.error_count} resolved_alerts={result.resolved_alerts} \\\"\\n   151|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   152|            )\\n   153|            return 1 if result.error_count else 0\\n   154|        finally:\\n   155|            conn.close()\\n   156|    if args.command == \\\"update-market-prices\\\":\\n   157|        settings = load_settings()\\n   158|        ensure_runtime_dirs(settings)\\n   159|        conn = connect(settings.db_path)\\n   160|        try:\\n   161|            apply_migrations(conn)\\n   162|            prices = {}\\n   163|            for item in args.mock_price:\\n   164|                symbol, price = item.split(\\\"=\\\", 1)\\n   165|                prices[symbol] = Decimal(price)\\n   166|            result = refresh_market_prices(\\n   167|                conn,\\n   168|                provider=MockEquityPriceProvider(prices),\\n   169|                asset_class=args.asset_class,\\n   170|                price_date=args.price_date,\\n   171|                only_missing=args.only_missing,\\n   172|                only_stale=args.only_stale,\\n   173|                only_isin=args.only_isin,\\n   174|                limit=args.limit,\\n   175|                dry_run=args.dry_run,\\n   176|            )\\n   177|            print(\\n   178|                \\\"MARKET_PRICE_UPDATE \\\"\\n   179|                f\\\"asset_class={result.asset_class} total_mappings={result.total_mappings} updated={result.updated_count} \\\"\\n   180|                f\\\"cached={result.cached_count} skipped={result.skipped_count} stale={result.stale_count} \\\"\\n   181|                f\\\"warnings={result.warning_count} errors={result.error_count} dry_run={str(result.dry_run).lower()}\\\"\\n   182|            )\\n   183|            return 1 if result.error_count else 0\\n   184|        finally:\\n   185|            conn.close()\\n   186|    if args.command == \\\"check-data-quality\\\":\\n   187|        settings = load_settings()\\n   188|        ensure_runtime_dirs(settings)\\n   189|        conn = connect(settings.db_path)\\n   190|        try:\\n   191|            apply_migrations(conn)\\n   192|            result = check_crypto_data_quality(\\n   193|                conn,\\n   194|                currency=args.currency,\\n   195|                max_age_seconds=args.max_age_seconds,\\n   196|                resolve_fixed=args.resolve_fixed,\\n   197|                dry_run=args.dry_run,\\n   198|            )\\n   199|            print(\\n   200|                \\\"DATA_QUALITY_CHECK \\\"\\n   201|                f\\\"scope={result.scope} active_crypto_assets={result.active_crypto_assets} \\\"\\n   202|                f\\\"fresh_price_assets={result.fresh_price_assets} \\\"\\n   203|                f\\\"active_stale_price_alerts_before={result.active_stale_price_alerts_before} \\\"\\n   204|                f\\\"active_stale_price_alerts_after={result.active_stale_price_alerts_after} \\\"\\n   205|                f\\\"resolved_alerts={result.resolved_alerts} \\\"\\n   206|                f\\\"warnings={result.warnings} errors={result.errors} \\\"\\n   207|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   208|            )\\n   209|            return 1 if result.errors else 0\\n   210|        finally:\\n   211|            conn.close()\\n   212|    if args.command == \\\"backup-runtime-db\\\":\\n   213|        settings = load_settings()\\n   214|        ensure_runtime_dirs(settings)\\n   215|        result = backup_runtime_db(\\n   216|            db_path=settings.db_path,\\n   217|            backups_dir=settings.runtime_paths.backups_dir,\\n   218|            repo_root=Path.cwd(),\\n   219|        )\\n   220|        print(\\n   221|            \\\"RUNTIME_DB_BACKUP \\\"\\n   222|            f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n   223|            f\\\"sha256={result.sha256} size_bytes={result.size_bytes}\\\"\\n   224|        )\\n   225|        return 0\\n   226|    if args.command == \\\"verify-backup\\\":\\n   227|        result = verify_backup(backup_file=Path(args.file), repo_root=Path.cwd())\\n   228|        print(\\n   229|            \\\"BACKUP_VERIFY \\\"\\n   230|            f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n   231|            f\\\"exists={str(result.exists).lower()} checksum_ok={str(result.checksum_ok).lower()} \\\"\\n   232|            f\\\"sha256={result.sha256}\\\"\\n   233|        )\\n   234|        return 0 if result.exists and result.checksum_ok else 1\\n   235|    if args.command == \\\"restore-runtime-db\\\":\\n   236|        settings = load_settings()\\n   237|        ensure_runtime_dirs(settings)\\n   238|        result = restore_runtime_db(\\n   239|            backup_file=Path(args.backup_file),\\n   240|            db_path=settings.db_path,\\n   241|            repo_root=Path.cwd(),\\n   242|            yes=args.yes,\\n   243|        )\\n   244|        print(\\n   245|            \\\"RUNTIME_DB_RESTORE \\\"\\n   246|            f\\\"source_file={result.source_file} restored_to={result.restored_to} \\\"\\n   247|            f\\\"verified={str(result.verified).lower()}\\\"\\n   248|        )\\n   249|        return 0\\n   250|    return 2\\n   251|\\n   252|\\n   253|if __name__ == \\\"__main__\\\":\\n   254|    raise SystemExit(main())\\n   255|\", \"total_lines\": 254, \"file_size\": 12272, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "finish_reason": "tool_calls",
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      "content": "{\"output\": \"src/jarvis_finance/dashboard/data.py               | 21 ++++-\\n .../dashboard/pages/page_16_data_quality_center.py |  3 +\\n src/jarvis_finance/fx/overrides.py                 |  5 +-\\n src/jarvis_finance/fx/providers.py                 | 22 +++---\\n src/jarvis_finance/fx/rates.py                     | 39 ++++++++-\\n src/jarvis_finance/ledger/positions.py             | 68 +++++++++++++++-\\n src/jarvis_finance/market_data/mappings.py         | 68 +++++++++++++---\\n src/jarvis_finance/market_data/prices.py           | 92 ++++++++++++----------\\n src/jarvis_finance/storage/migrations.py           | 27 ++++++-\\n tests/unit/test_schema.py                          |  2 +-\\n 10 files changed, 277 insertions(+), 70 deletions(-)\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_MMxSC1tYv9GVXS9BJ7z3zoKc"
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    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"diff --git a/src/jarvis_finance/storage/migrations.py b/src/jarvis_finance/storage/migrations.py\\nindex 4936315..cdd33ee 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 = 9\\n-MIGRATION_NAME = \\\"009_fx_market_data_phase_c\\\"\\n+MIGRATION_VERSION = 10\\n+MIGRATION_NAME = \\\"010_true_wealth_valuation_pilot\\\"\\n \\n INSTRUMENT_OPTIONAL_COLUMNS = {\\n     \\\"position_category\\\": \\\"TEXT\\\",\\n@@ -16,6 +16,15 @@ INSTRUMENT_OPTIONAL_COLUMNS = {\\n     \\\"index_name\\\": \\\"TEXT\\\",\\n     \\\"fund_domicile\\\": \\\"TEXT\\\",\\n     \\\"benchmark\\\": \\\"TEXT\\\",\\n+    \\\"is_currency_hedged\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n+    \\\"hedged_to_currency\\\": \\\"TEXT\\\",\\n+    \\\"hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n+    \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n+    \\\"trading_currency\\\": \\\"TEXT\\\",\\n+    \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n+    \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n+    \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n+    \\\"split_or_corporate_action_review_required\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n }\\n \\n TEXT_AFFINITY_COLUMNS = {\\n@@ -321,6 +330,20 @@ def _create_fx_market_data_tables(conn: Connection) -> None:\\n     _add_missing_columns(conn, \\\"market_prices\\\", {\\n         \\\"provider_market\\\": \\\"TEXT\\\",\\n         \\\"error_message\\\": \\\"TEXT\\\",\\n+        \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n+    })\\n+    _add_missing_columns(conn, \\\"fx_rates\\\", {\\n+        \\\"error_status\\\": \\\"TEXT\\\",\\n+        \\\"error_message\\\": \\\"TEXT\\\",\\n+    })\\n+    _add_missing_columns(conn, \\\"instrument_price_mappings\\\", {\\n+        \\\"hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n+        \\\"is_currency_hedged\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n+        \\\"hedged_to_currency\\\": \\\"TEXT\\\",\\n+        \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n+        \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n+        \\\"trading_currency\\\": \\\"TEXT\\\",\\n+        \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n     })\\n     conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)\\\")\\n     conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)\\\")\", \"exit_code\": 0, \"error\": null}",
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      "reasoning": "**Inspecting changes in diff stat**\n\nIt looks like I need to consider whether to include untracked files in the diff stat. The `--stat` option doesn’t show untracked files, which could be an issue. Maybe I should inspect the providers’ diffs specifically, especially since it seems that there might have been a change or bug from the `MockFxProvider`. I’ll need to look into this further to ensure everything is working correctly!",
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      "reasoning_content": "**Inspecting changes in diff stat**\n\nIt looks like I need to consider whether to include untracked files in the diff stat. The `--stat` option doesn’t show untracked files, which could be an issue. Maybe I should inspect the providers’ diffs specifically, especially since it seems that there might have been a change or bug from the `MockFxProvider`. I’ll need to look into this further to ensure everything is working correctly!",
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          "summary": [
            {
              "type": "summary_text",
              "text": "**Inspecting changes in diff stat**\n\nIt looks like I need to consider whether to include untracked files in the diff stat. The `--stat` option doesn’t show untracked files, which could be an issue. Maybe I should inspect the providers’ diffs specifically, especially since it seems that there might have been a change or bug from the `MockFxProvider`. I’ll need to look into this further to ensure everything is working correctly!"
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            "name": "read_file",
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    {
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      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|\\n     6|class HistoricalFxUnavailable(RuntimeError):\\n     7|    def __init__(self, message: str, *, status: str = \\\"manual_override_required\\\") -> None:\\n     8|        super().__init__(message)\\n     9|        self.status = status\\n    10|\\n    11|\\n    12|class MockFxProvider:\\n    13|    name = \\\"mock\\\"\\n    14|\\n    15|    def __init__(self, rates: dict[tuple[str, str, str], Decimal | str | None], *, unavailable: set[tuple[str, str, str]] | None = None) -> None:\\n    16|        self.rates = {(a.upper(), b.upper(), d): (Decimal(str(v)) if v is not None else None) for (a, b, d), v in rates.items()}\\n    17|        self.unavailable = {(a.upper(), b.upper(), d) for a, b, d in (unavailable or set())}\\n    18|\\n    19|    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None:\\n    20|        date = rate_date or \\\"latest\\\"\\n    21|        key = (base_currency.upper(), quote_currency.upper(), date)\\n    22|        if key in self.unavailable:\\n    23|            raise HistoricalFxUnavailable(\\\"historical FX unavailable/paywalled\\\")\\n    24|        return self.rates.get(key)\\n    25|\", \"total_lines\": 24, \"file_size\": 1047, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_wWhfAFsIL2P2HH7tfmjDun6Q"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Checking Git Status**\n\nI'm thinking about my Git process. I might need to import a protocol, but I'm unsure what’s lost. First, I should run `git add`, then commit and push changes. But before committing, it might be wise to run `git diff` to scan for any secrets or issues—safety first! I should also check the `git status` to see my branch and ensure everything's aligned with the remote. This may help avoid surprises down the line!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking Git Status**\n\nI'm thinking about my Git process. I might need to import a protocol, but I'm unsure what’s lost. First, I should run `git add`, then commit and push changes. But before committing, it might be wise to run `git diff` to scan for any secrets or issues—safety first! I should also check the `git status` to see my branch and ensure everything's aligned with the remote. This may help avoid surprises down the line!",
      "codex_reasoning_items": [
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              "text": "**Checking Git Status**\n\nI'm thinking about my Git process. I might need to import a protocol, but I'm unsure what’s lost. First, I should run `git add`, then commit and push changes. But before committing, it might be wise to run `git diff` to scan for any secrets or issues—safety first! I should also check the `git status` to see my branch and ensure everything's aligned with the remote. This may help avoid surprises down the line!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_VhQJ54yW4k0ouYYn165dGaNz",
          "call_id": "call_VhQJ54yW4k0ouYYn165dGaNz",
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          "function": {
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            "arguments": "{\"command\":\"git add src/jarvis_finance/dashboard/data.py src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py src/jarvis_finance/fx/overrides.py src/jarvis_finance/fx/providers.py src/jarvis_finance/fx/rates.py src/jarvis_finance/ledger/positions.py src/jarvis_finance/market_data/instruments.py src/jarvis_finance/market_data/mappings.py src/jarvis_finance/market_data/prices.py src/jarvis_finance/storage/migrations.py tests/unit/test_schema.py tests/unit/test_true_wealth_valuation_pilot.py && git commit -m \\\"Implement True Wealth valuation pilot safeguards\\\"\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"[main 268b809] Implement True Wealth valuation pilot safeguards\\n 12 files changed, 576 insertions(+), 70 deletions(-)\\n create mode 100644 src/jarvis_finance/market_data/instruments.py\\n create mode 100644 tests/unit/test_true_wealth_valuation_pilot.py\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_VhQJ54yW4k0ouYYn165dGaNz"
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      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
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          "call_id": "call_uImTXM5SgK6sHOONsfesZQ6B",
          "response_item_id": "fc_0134d7700e125cf0016a070c4deca08191be897ef5b095db0a",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"git push\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}",
      "tool_call_id": "call_uImTXM5SgK6sHOONsfesZQ6B"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Troubleshooting authentication issues**\n\nI'm running into a push failure due to authentication. I might need to use token memory or inspect the remote settings, possibly checking if HTTPS is involved. I could consider using GitHub's CLI for authentication, but I'll need to ensure I manage my token securely without exposing it. It's clear that I should verify the token path with Python, and I’ll check the current remote configuration by using `git remote -v`.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Troubleshooting authentication issues**\n\nI'm running into a push failure due to authentication. I might need to use token memory or inspect the remote settings, possibly checking if HTTPS is involved. I could consider using GitHub's CLI for authentication, but I'll need to ensure I manage my token securely without exposing it. It's clear that I should verify the token path with Python, and I’ll check the current remote configuration by using `git remote -v`.",
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          "summary": [
            {
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              "text": "**Troubleshooting authentication issues**\n\nI'm running into a push failure due to authentication. I might need to use token memory or inspect the remote settings, possibly checking if HTTPS is involved. I could consider using GitHub's CLI for authentication, but I'll need to ensure I manage my token securely without exposing it. It's clear that I should verify the token path with Python, and I’ll check the current remote configuration by using `git remote -v`."
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        {
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          "response_item_id": "fc_0134d7700e125cf0016a070c54d9708191939b076764c002d9",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"git remote -v && git status --short && git rev-parse --short HEAD\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"origin\\thttps://github.com/Gamexgit/FinanceManager.git (fetch)\\norigin\\thttps://github.com/Gamexgit/FinanceManager.git (push)\\n268b809\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_ubWontdM0KE9PR785OoX3cIg"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering token management**\n\nI need to push with a token and I have the token's CSV path in memory. I'm thinking of using Python to read the token and maybe utilize GIT_ASKPASS. It might be better to use a command like `git -c http.extraHeader=\"Authorization: Bearer $TOKEN\" push`, but I need to ensure the token isn't printed out in the output. It's essential to avoid exposing it, especially since the shell might show it transiently. I’ll need to understand the CSV format and possibly parse it using a Python script to set the environment and subprocess without printing the token.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering token management**\n\nI need to push with a token and I have the token's CSV path in memory. I'm thinking of using Python to read the token and maybe utilize GIT_ASKPASS. It might be better to use a command like `git -c http.extraHeader=\"Authorization: Bearer $TOKEN\" push`, but I need to ensure the token isn't printed out in the output. It's essential to avoid exposing it, especially since the shell might show it transiently. I’ll need to understand the CSV format and possibly parse it using a Python script to set the environment and subprocess without printing the token.",
      "codex_reasoning_items": [
        {
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          "encrypted_content": "gAAAAABqBwxbbwVV6ka6v-3Ve_4hlggzf2--cwXwuvzDnouXnWDP2uh5BruH0og5eTUzDf_iJ1hLh9y1qE1ERMxIUKmDKZi5o13vZjwRIQ2PB5yiaKLDXjz2bnF4L3c6Dk-TApY6o8RoXxxg1yMmGQRQTCvFYYM9Tw3lp394S51fdANht76SBEAwbwHkf7fQlEVsH-iiv8YTOUG-I3wABoiF52olmY7TuFYKdssQdWWyMHx_7Uqfd0ozRxpDqlyu2EiPsP_gqsP2aYRIs8gG95Yf8GTyG7n1HdZciK7lxkbegGL5eD4ToU9ihEbEeYZ7_qRaBp61lFiJcBCbXD42yv603G3fw9lWI1dTLpTedkZ1dQSp-wnV-b-oFM9NgOF7XVFO17Or72Q04fdQru3hSAKfxjIEfu2t38m2IO3fznA_Y8vIjYXYkADioPpsN8poXJ8dXEPN1_FBEB09Q5tktmS652dyvnWylyCW7NG1TWIWmgxyhwvdsFc75mpN4sBolfWbtCAb8PBevg7gSC_vFYl4iqc8OjDHqEAPmMJ5r6MMDrkZ_FW_n7iQoQdfZiqMocQ9QXxxRLIDm-jeEfvTAwgh7YLjJ_H4a_RBgDi4wy_CEmosZfiBMp6HKh8GWA6DWrKh3Dw5oIf7kPmq8E3970rPJje8IxVI1i-Va708NYnF7IYW-vokwJebZ0Y72pCcJ8SZu_PSl1oYhoCncBV6Hlu3yOT6JTtz73EKlmrEUOJsdTw-opOqTL489DriNLE7maFV5ovKfv_i8ZhXzhj0zZd6I9C5Tv4pvm0-k1EivXynrK4nlz93gjFnqrH5Z_awMiCv4uMGg5DghpJjVT6bhBd7UkyQsAttGs51E1TOHXe1ymz4fnB5NOkvnMktweaSuAuCyegPDIKKgQW4IFdB5BsYOtCjQGHs9Wg7XQuAxzbIbDOLTnx1GYEHLSyAtbqINDMWaDTYhLB9A2Q4t_UKyCU4aReVVaEsAGpxf9k699xWVHH8N94f5ke2vN0Ns0Lgcnu8-96L63jGJApCkJLKchUQ0euVN76Gneo7vafN_TOTQoduxRPWKTOPeBdjcKN87dgGq2m-t7qnOPaF4m9_s1_79Bblq_vWz7BqaamH2LcE_mDhnW67mmHrrpR0ePQtSQIdRO1qEnDDg2HV8FnNgptC8gq7ECkTkjXiO5XPt0XT8a5tCZoiIJT7-mtYhU-eQEnwxNMPPsKA_Oep6LVcUBYGwPzgJjxqtczrHrMRRZvIOBzr0wDUmpBV7XfdEhqTBeuu_t9455i6fXdsobj1WSYliPHgRE_sWOqlFB1cqh7hlwJPb5k5dt4m1AKXVFtg3-CcvOumTaHTcMo9NKaUtXvwTvhbPbOXjA==",
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          "summary": [
            {
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              "text": "**Considering token management**\n\nI need to push with a token and I have the token's CSV path in memory. I'm thinking of using Python to read the token and maybe utilize GIT_ASKPASS. It might be better to use a command like `git -c http.extraHeader=\"Authorization: Bearer $TOKEN\" push`, but I need to ensure the token isn't printed out in the output. It's essential to avoid exposing it, especially since the shell might show it transiently. I’ll need to understand the CSV format and possibly parse it using a Python script to set the environment and subprocess without printing the token."
            }
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      "content": "Sir, Phase C2 ist umgesetzt, getestet, produktiv vorsichtig gegen die Runtime-DB geprüft, committed und gepusht.\n\n## Ergebnis\n\n**Commit:** `268b809` — `Implement True Wealth valuation pilot safeguards`  \n**Push:** erfolgreich nach `origin/main`  \n**Git-Safety:** OK  \n**Git Status:** clean\n\n## Implementierte Module / Änderungen\n\n- Instrument-Metadaten erweitert:\n  - `is_currency_hedged`\n  - `hedged_to_currency`\n  - `hedge_status`\n  - `base_exposure_currency`\n  - `trading_currency`\n  - `instrument_status`\n  - `valuation_policy`\n  - `corporate_action_status`\n  - `split_or_corporate_action_review_required`\n\n- Provider-Symbol-/Instrument-Mapping erweitert:\n  - manuelle Provider-Symbol-Bestätigung\n  - Hedge-Status-Bestätigung\n  - Instrument-Status-Bestätigung\n  - Valuation-Policy-Bestätigung\n  - Audit-Log bei Änderungen\n  - Alert-Resolve bei vollständigem Mapping\n\n- FX-Behandlung erweitert:\n  - Historical-FX-Unavailable / Paywall / 403-artige Fälle führen zu:\n    - `manual_override_required`\n    - `historical_fx_unavailable`\n    - kein Crash\n  - Manual FX Override:\n    - Notiz Pflicht\n    - Audit-Log Pflicht\n    - resolved passende FX-Alerts\n\n- Market-Price-Update erweitert:\n  - `finance update-market-prices --only-isin <ISIN>`\n  - `--limit`\n  - `--dry-run`\n  - Ausschluss von `delisted` / `suspended` / `exclude_from_auto_price_update`\n  - Alert-Dedupe respektiert\n  - Corporate-Action-Heuristik bei starker lokaler Preisbewegung vorbereitet\n\n- Valuation-Logik erweitert:\n  - `not_valuable`\n  - `partially_valuable`\n  - `valuable`\n  - Timestamp Alignment:\n    - `aligned`\n    - `acceptable`\n    - `stale_mismatch`\n    - `missing_timestamp`\n  - CHF-hedged Instrumente werden methodisch markiert; keine naive freie FX-PnL-Zerlegung.\n\n- Dashboard / Data Quality Center erweitert:\n  - Hedge-Status\n  - Instrument-Status\n  - Provider-Symbol-Status\n  - Market-Price-Status\n  - FX-Status\n  - Timestamp-Alignment\n  - Corporate-Action-Status\n  - Valuation-Policy\n  - Valuation-Status\n  - zusätzliche Data-Quality-Aktionen/Links vorbereitet\n\n## Neue/geänderte Dateien\n\nNeu:\n- `src/jarvis_finance/market_data/instruments.py`\n- `tests/unit/test_true_wealth_valuation_pilot.py`\n\nGeändert:\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/market_data/mappings.py`\n- `src/jarvis_finance/market_data/prices.py`\n- `src/jarvis_finance/fx/rates.py`\n- `src/jarvis_finance/fx/providers.py`\n- `src/jarvis_finance/fx/overrides.py`\n- `src/jarvis_finance/ledger/positions.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_schema.py`\n\n## Tests / Checks\n\n- Compile: OK\n- Pytest: `178 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n\n## Produktiver vorsichtiger Runtime-Recheck\n\nKeine weiteren Positionen importiert. Keine PostFinance-/Raiffeisen-Daten importiert. Keine echten Mengen, Preise, Werte oder Kontostände im Chat.\n\nAggregierter Stand True-Wealth-Pilot:\n\n- True-Wealth-Positionen total: `3`\n- Provider-Symbol-Status:\n  - `missing_provider_symbol`: `3`\n- Hedge-Status:\n  - `unknown`: `3`\n- Instrument-Status:\n  - `unknown`: `3`\n- FX-Status:\n  - `missing_fx`: `3`\n- Market-Price-Status:\n  - `missing_market_price`: `3`\n- Timestamp-Alignment:\n  - `missing_timestamp`: `3`\n- Corporate-Action-Status:\n  - `not_checked`: `3`\n- Valuation-Status:\n  - `partially_valuable`: `3`\n\nAktive Alerts nachher:\n\n- `missing_provider_symbol`: `3`\n- `hedge_status_unknown`: `3`\n- `missing_fx`: `3`\n- `missing_market_price`: `3`\n- `snapshot_only`: `3`\n- `cost_basis_uncertain`: `3`\n\nZusätzlich wurde eine bestehende Alert-Dedupe-Unsauberkeit bereinigt; keine Alert-Flut bleibt bestehen.\n\n## Market-Price Dry Run\n\n`update-market-prices --asset-class etf --limit 3 --dry-run` ausgeführt.\n\nErgebnis aggregiert:\n\n- total mappings: `0`\n- updated: `0`\n- warnings: `0`\n- errors: `0`\n\nInterpretation: Es sind für die 3 True-Wealth-Instrumente noch keine Provider-Symbole bestätigt. Daher korrekt kein Preisabruf. Nichts geraten. Sehr unromantisch, aber fachlich sauber.\n\n## Nächste Empfehlung\n\nAls nächster kontrollierter Schritt: manuelle Review der 3 True-Wealth-Instrumente im Mapping-/Review-Flow:\n\n1. Provider-Symbol je ISIN bestätigen oder offen lassen.\n2. Hedge-Status manuell bestätigen.\n3. Instrument-Status bestätigen.\n4. Falls historische FX nicht verfügbar ist: Manual FX Override mit Notiz erfassen.\n5. Danach gezieltes `update-market-prices --only-isin ...` gegen maximal diese 3 Instrumente.",
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              "text": "Sir, Phase C2 ist umgesetzt, getestet, produktiv vorsichtig gegen die Runtime-DB geprüft, committed und gepusht.\n\n## Ergebnis\n\n**Commit:** `268b809` — `Implement True Wealth valuation pilot safeguards`  \n**Push:** erfolgreich nach `origin/main`  \n**Git-Safety:** OK  \n**Git Status:** clean\n\n## Implementierte Module / Änderungen\n\n- Instrument-Metadaten erweitert:\n  - `is_currency_hedged`\n  - `hedged_to_currency`\n  - `hedge_status`\n  - `base_exposure_currency`\n  - `trading_currency`\n  - `instrument_status`\n  - `valuation_policy`\n  - `corporate_action_status`\n  - `split_or_corporate_action_review_required`\n\n- Provider-Symbol-/Instrument-Mapping erweitert:\n  - manuelle Provider-Symbol-Bestätigung\n  - Hedge-Status-Bestätigung\n  - Instrument-Status-Bestätigung\n  - Valuation-Policy-Bestätigung\n  - Audit-Log bei Änderungen\n  - Alert-Resolve bei vollständigem Mapping\n\n- FX-Behandlung erweitert:\n  - Historical-FX-Unavailable / Paywall / 403-artige Fälle führen zu:\n    - `manual_override_required`\n    - `historical_fx_unavailable`\n    - kein Crash\n  - Manual FX Override:\n    - Notiz Pflicht\n    - Audit-Log Pflicht\n    - resolved passende FX-Alerts\n\n- Market-Price-Update erweitert:\n  - `finance update-market-prices --only-isin <ISIN>`\n  - `--limit`\n  - `--dry-run`\n  - Ausschluss von `delisted` / `suspended` / `exclude_from_auto_price_update`\n  - Alert-Dedupe respektiert\n  - Corporate-Action-Heuristik bei starker lokaler Preisbewegung vorbereitet\n\n- Valuation-Logik erweitert:\n  - `not_valuable`\n  - `partially_valuable`\n  - `valuable`\n  - Timestamp Alignment:\n    - `aligned`\n    - `acceptable`\n    - `stale_mismatch`\n    - `missing_timestamp`\n  - CHF-hedged Instrumente werden methodisch markiert; keine naive freie FX-PnL-Zerlegung.\n\n- Dashboard / Data Quality Center erweitert:\n  - Hedge-Status\n  - Instrument-Status\n  - Provider-Symbol-Status\n  - Market-Price-Status\n  - FX-Status\n  - Timestamp-Alignment\n  - Corporate-Action-Status\n  - Valuation-Policy\n  - Valuation-Status\n  - zusätzliche Data-Quality-Aktionen/Links vorbereitet\n\n## Neue/geänderte Dateien\n\nNeu:\n- `src/jarvis_finance/market_data/instruments.py`\n- `tests/unit/test_true_wealth_valuation_pilot.py`\n\nGeändert:\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/market_data/mappings.py`\n- `src/jarvis_finance/market_data/prices.py`\n- `src/jarvis_finance/fx/rates.py`\n- `src/jarvis_finance/fx/providers.py`\n- `src/jarvis_finance/fx/overrides.py`\n- `src/jarvis_finance/ledger/positions.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_schema.py`\n\n## Tests / Checks\n\n- Compile: OK\n- Pytest: `178 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n\n## Produktiver vorsichtiger Runtime-Recheck\n\nKeine weiteren Positionen importiert. Keine PostFinance-/Raiffeisen-Daten importiert. Keine echten Mengen, Preise, Werte oder Kontostände im Chat.\n\nAggregierter Stand True-Wealth-Pilot:\n\n- True-Wealth-Positionen total: `3`\n- Provider-Symbol-Status:\n  - `missing_provider_symbol`: `3`\n- Hedge-Status:\n  - `unknown`: `3`\n- Instrument-Status:\n  - `unknown`: `3`\n- FX-Status:\n  - `missing_fx`: `3`\n- Market-Price-Status:\n  - `missing_market_price`: `3`\n- Timestamp-Alignment:\n  - `missing_timestamp`: `3`\n- Corporate-Action-Status:\n  - `not_checked`: `3`\n- Valuation-Status:\n  - `partially_valuable`: `3`\n\nAktive Alerts nachher:\n\n- `missing_provider_symbol`: `3`\n- `hedge_status_unknown`: `3`\n- `missing_fx`: `3`\n- `missing_market_price`: `3`\n- `snapshot_only`: `3`\n- `cost_basis_uncertain`: `3`\n\nZusätzlich wurde eine bestehende Alert-Dedupe-Unsauberkeit bereinigt; keine Alert-Flut bleibt bestehen.\n\n## Market-Price Dry Run\n\n`update-market-prices --asset-class etf --limit 3 --dry-run` ausgeführt.\n\nErgebnis aggregiert:\n\n- total mappings: `0`\n- updated: `0`\n- warnings: `0`\n- errors: `0`\n\nInterpretation: Es sind für die 3 True-Wealth-Instrumente noch keine Provider-Symbole bestätigt. Daher korrekt kein Preisabruf. Nichts geraten. Sehr unromantisch, aber fachlich sauber.\n\n## Nächste Empfehlung\n\nAls nächster kontrollierter Schritt: manuelle Review der 3 True-Wealth-Instrumente im Mapping-/Review-Flow:\n\n1. Provider-Symbol je ISIN bestätigen oder offen lassen.\n2. Hedge-Status manuell bestätigen.\n3. Instrument-Status bestätigen.\n4. Falls historische FX nicht verfügbar ist: Manual FX Override mit Notiz erfassen.\n5. Danach gezieltes `update-market-prices --only-isin ...` gegen maximal diese 3 Instrumente."
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      "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n  • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n  • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n  • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n  • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n  1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n  2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n  3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n     • `references/<topic>.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n     • `templates/<name>.<ext>` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n     • `scripts/<name>.<ext>` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n     Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n  4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n  • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n  • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n  • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n  • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act."
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      "reasoning_content": "**Updating skills**\n\nI need to ensure I have the right skills updated. First, I have to check if the finance-system-architecture skill is already loaded. If it's not, I might need to utilize the skill_view to verify the current loaded skills. It sounds like a good idea to use the commentary tool for this. I just want to make sure everything is up to date and functioning properly!",
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      "content": "{\"success\": true, \"name\": \"finance-system-architecture\", \"description\": \"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\", \"tags\": [\"finance\", \"portfolio\", \"accounting\", \"dashboard\", \"csv\", \"fx\", \"tax\", \"privacy\"], \"related_skills\": [], \"content\": \"---\\nname: finance-system-architecture\\ndescription: \\\"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [finance, portfolio, accounting, dashboard, csv, fx, tax, privacy]\\n---\\n\\n# Finance System Architecture\\n\\n## When to use\\n\\nUse this skill whenever the user asks about the **Finance System – Architektur & Scripts** topic or work involving the user's personal finance-management system: portfolio imports, transaction accounting, Bank/Broker/CSV processing, dashboards, reports, tax/income views, FX logic, market data jobs, alerts, or later implementation.\\n\\nDo **not** use it for pure investment-strategy discussion; those belong in the separate finance strategy topic unless the user explicitly asks for technical implementation.\\n\\n## Core principles\\n\\n1. **No automated trading.** The system may prepare orders and recommendations, but never executes orders or connects to broker trading APIs for execution.\\n2. **Accounting first, opinions later.** MVP must prioritize correct transaction ledger, cash ledger, FX handling, income/tax data, and dashboard before complex scores, news, analyst ratings, or LLM analysis.\\n3. **Rule-based first.** Calculations, scores, alerts, rebalancing and reports must be deterministic and auditable. LLMs may only summarize/explain text or assist extraction with human review.\\n4. **CHF as base currency.** Store every transaction in original currency and CHF using historical FX at transaction/payment date; current valuations use current FX.\\n5. **Financial data secrecy.** Never expose real financial values, portfolio files, raw exports, reports with real numbers, DBs, API keys, or credentials in chat, GitHub, logs, or shared docs unless the user explicitly approves scope.\\n6. **Data ownership.** All data must be exportable: CSV, JSON, Parquet, SQLite/Postgres dump, Markdown/HTML/PDF reports.\\n\\n## Current v0.3 decisions\\n\\nSee `references/spec-v0.2-decisions.md` for the baseline, `references/spec-v0.3-decisions.md` for the priority update, `references/spec-v0.4-implementation-blueprint.md` for the MVP 1 technical implementation blueprint, `references/spec-v0.4.1-corrections.md` for accepted corrections, `references/spec-v0.5-repo-blueprint.md` for the concrete repo/implementation plan, `references/mvp-safety-gate-implementation.md` for the implementation safety-gate sequence and verification commands, `references/mvp-import-pipeline-tasks-9-13.md` for the synthetic CSV import/FX/transaction pipeline pattern, `references/mvp-ledger-cash-wac-positions.md` for cash/WAC/position ledger calculation rules and tests, `references/mvp-crypto-wallet-ledger.md` for crypto wallet/assets/holdings/transfers/buy-sell/fee MVP rules, `references/crypto-xlsx-initial-snapshot-dry-run.md` for the controlled real-file XLSX crypto initial-snapshot dry-run pattern and mapping decisions, `references/crypto-xlsx-initial-snapshot-production-import.md` for productive safe-subset XLSX import operations, compatibility/partial-write recovery, and dashboard correction follow-up, `references/crypto-single-coin-runtime-test.md` for controlled one-coin productive runtime tests and the coin-vs-holding ambiguity guard, `references/multi-wallet-crypto-and-equity-manage-ui.md` for approved multi-wallet single-coin snapshots, SQLite Decimal/TEXT affinity pitfalls, and synthetic-first Equity/ETF Manage UI patterns, `references/crypto-price-refresh-and-idempotent-btc-runtime.md` for robust batch price refresh and re-run-safe BTC/single-coin runtime checks, `references/crypto-runtime-db-consistency-verification.md` for post-import runtime DB consistency checks, exact safe-set verification, dashboard no-live-API testing, and runtime-only report generation, `references/mvp-crypto-manual-management-ui.md` for audited dashboard add/correct/remove crypto holding workflows after an initial snapshot, `references/mvp-market-import-safety-hardening.md` for CoinGecko provider/backoff, CSV importer completion, alert lifecycle, Git-safety and crypto Decimal precision patterns, `references/git-safety-verification-coverage.md` for the verifier-warning workflow and minimum Git-safety test matrix, `references/mvp-streamlit-dashboard.md` for the safe local Streamlit dashboard shell/read-model/testing pattern, `references/mvp-crypto-report-export.md` for local-only crypto report context/export rules, `references/github-token-push-from-drive.md` for the safe Google-Drive-token push workflow when local FinanceManager commits are ahead of GitHub, `references/runtime-backup-and-broker-mapping.md` for runtime DB backup/restore hardening plus PostFinance/True Wealth/Raiffeisen structural mapping/dry-run rules, `references/import-wizard-mapping-layer.md` for the Phase B1 import wizard, instrument/account mapping, review queue, data-quality and read-only safety pattern, `references/broker-parser-dry-run-pipeline.md` for the Phase B2 synthetic broker parser, dry-run, runtime review-item and UI quality-flag pipeline, `references/controlled-real-broker-dry-run.md` for the Phase B3 controlled real-file dry-run pattern with backup, aggregate-only reporting, runtime-only review items, and no productive position writes, and `references/broker-review-queue-hardening.md` for Phase B4 manual review queue filters, auditable mapping actions, import-readiness gating, dry-run session management, and Data Quality Center hardening without productive portfolio writes, and `references/guided-manual-review-pilot.md` for Phase B5 small-scope runtime metadata pilots that move selected review items to `ready_for_import` without productive imports, `references/broker-import-execution-plan-mini-import.md` for Phase B6 final dry-run execution plans plus exactly-one productive broker mini-import, `references/broker-mini-import-regression-and-corrections.md` for post-mini-import regression, void/correction workflows, backup/restore checks, and one-at-a-time follow-up imports, and `references/broker-mini-import-completion-and-dq-consolidation.md` for completing the last ready True-Wealth mini-import plus active-vs-resolved Data Quality alert consolidation, and `references/equity-fx-market-data-phase-c.md` for the local FX/market-data foundation after broker mini-imports and before broader Equity/ETF valuation/imports. Key decisions:\\n\\n- Platform/account views: Raiffeisen, PostFinance, True Wealth, Crypto-Coins, plus Gesamtansicht.\\n- Existing Google Drive files under `Finanzen/01 Aktueller Stand Portfolios` are **initial-snapshot reality checks**, not full ledgers.\\n- MVP means the smallest useful first version: correct data foundation, ledger, CHF/FX logic, platform views, crypto inventory, watchlist, reports, workflows and audit log.\\n- Stock/ETF tax documents are downgraded: optional reference/control module and dividend/distribution transparency, not MVP 1 and not a complete tax dossier replacement.\\n- Crypto inventory is promoted to MVP 1: wallet/platform-level holdings, Crypto PDF, CoinGecko valuation, stale-price warnings and manual verification.\\n- Crypto snapshot values are stale; use quantities only and recalculate current values via CoinGecko later.\\n- MVP dashboard recommendation: Streamlit + SQLite + SQLAlchemy/Pandas/Plotly; later migrateable to FastAPI + React/PostgreSQL.\\n- MVP inputs: manual dashboard entry, standard CSV import/export, later broker/bank export import. No direct broker integrations initially.\\n- Telegram crypto buys/sells/transfers should be parsed as pending transactions and only saved after explicit confirmation.\\n- Every portfolio or crypto change must create a History/Audit entry.\\n\\n## Required data model areas\\n\\nAt minimum design for:\\n\\n- `platforms`, `accounts`, `instruments`\\n- `transactions` with original currency and CHF fields\\n- `cash_ledger`\\n- derived `positions_current`\\n- `dividends_distributions`\\n- `market_prices`, `fx_rates`\\n- `watchlist_items`\\n- `alerts`\\n- `decision_journal`\\n- `reports`\\n- `data_quality_issues`\\n\\n## CSV/import rules\\n\\n- For broker/bank imports (PostFinance, True Wealth, Raiffeisen), build the safe review layer before productive imports: Import Wizard, instrument mappings, platform/account mappings, dry-run summaries, Manual Review Queue, Data Quality Center and visible read-only/write-enabled state. Follow `references/import-wizard-mapping-layer.md`. When wiring parser output into the wizard, use the synthetic-first parser/dry-run/review-item pipeline in `references/broker-parser-dry-run-pipeline.md`. After explicit approval for real-file dry-runs, follow `references/controlled-real-broker-dry-run.md`: preflight, verified runtime backup, temp-only file handling, aggregate-only reporting, runtime-only review items, and verification that productive positions/ledger rows stayed unchanged. When the user asks to make real dry-run results manually editable, follow `references/broker-review-queue-hardening.md`: add filters/detail views, auditable review-metadata actions, per-item/session import-readiness status, dry-run session management, and Data Quality Center counts while keeping productive portfolio writes disabled. For a guided manual-review pilot on real runtime items, follow `references/guided-manual-review-pilot.md`: select 1–3 clear ETF/equity items (prefer True Wealth), write only audited review metadata, correct only presence booleans if needed, derive `ready_for_import` via readiness logic, and verify productive tables remain unchanged. Before the first productive broker position import, follow `references/broker-import-execution-plan-mini-import.md`: create runtime-only execution plans from the ready review items, validate exact Decimal-text payloads from the runtime source, preserve missing FX/cost-basis quality flags, then import exactly one ledger `initial_position_snapshot` after a verified backup; do not write `positions_snapshot` as the source of truth. After the first mini-import and before broader imports, follow `references/broker-mini-import-regression-and-corrections.md`: verify import links/audit/Decimal handling/re-import blocking, add or test safe void/correction flows, run backup/restore-to-test-DB regression, and only then optionally import one more ready plan. When the user approves finishing a remaining small set, follow `references/broker-mini-import-completion-and-dq-consolidation.md`: first disambiguate active vs resolved stale crypto alerts with `check-data-quality --scope crypto --resolve-fixed`, then import exactly one remaining ready execution plan after backup/verify, and consolidate Review Queue/Data Quality counts without exposing values.\\n- Do not pivot into later analytics modules while the user has asked for import/mapping hardening. Monte Carlo, backtesting, rebalancing, scores, heatmaps and projections are later phases unless explicitly re-authorized.\\n- Use a canonical CSV format before broker-specific importers.\\n- Imports must be idempotent via external transaction ID or row hash.\\n- Importers must separate dry-run and commit modes, collect validation errors explicitly, and always create an `import_sessions` record even for dry runs or failed imports.\\n- Import results should classify rows as new, existing, duplicate, or failed; do not rely on `INSERT OR IGNORE` as the only duplicate-detection mechanism.\\n- Row hashes must be stable and deterministic: normalize key order, whitespace, and `None` versus empty strings while leaving domain-specific canonicalization to the importer.\\n- If a source file has only current holdings and no full history, import it as `initial_position_snapshot` / `initial_cash_snapshot`, not fake historical buys.\\n- Missing historic FX, fees, taxes, dates, investment case, target weights, or dividend details must be flagged as data-quality gaps.\\n\\n## FX and return rules\\n\\nFor foreign currency assets, always distinguish:\\n\\n- price/security performance in original currency\\n- FX effect to CHF\\n- realized P&L\\n- unrealized P&L\\n- dividends/distributions/income\\n- fees and taxes\\n- Total Return in CHF\\n\\nEvery transaction/income event needs:\\n\\n- original amount and currency\\n- historical FX rate to CHF, or explicit `fx_status=missing` with a critical data-quality alert\\n- FX source and timestamp\\n- CHF equivalent at event date when FX is known\\n\\nManual FX overrides require a non-empty note and an audit-log entry.\\n\\n## Ledger calculation rules\\n\\n- Cash after system start must be calculated from `transactions`; `cash_balances` is only a snapshot/cache/control view.\\n- `initial_cash_snapshot` and `initial_position_snapshot` are explicit starting truths, not fabricated historical trades.\\n- Implement Weighted Average Cost as the MVP internal performance method: buy fees increase cost basis, partial sells remove proportional cost basis, realized P&L is calculated against average cost, full sells zero remaining quantity/cost basis, and dividends do not alter quantity or cost basis.\\n- WAC is not tax-complete; do not add FIFO/LIFO/tax-lot logic in MVP 1, but keep transaction granularity so it can be added later.\\n- Position calculations must keep zero-quantity historical positions visible when sale history exists.\\n- Missing market price or FX must degrade data quality and suppress precise Total Return CHF rather than inventing a value.\\n- Before productive dashboard use, add alert deduplication per rule/entity/date.\\n- Market-FX for non-CHF market prices belongs to the later Market/FX provider block.\\n\\n## Crypto MVP rules\\n\\n- Crypto inventory is MVP-critical but must remain dummy-first until mapper/dry-run layers are ready; do not touch real coin/wallet files during core implementation. After explicit user approval, real files may be read only from temp/runtime for controlled dry runs using `references/crypto-xlsx-initial-snapshot-dry-run.md`; report only aggregate counts/labels and never quantities or values. Productive safe-subset imports require a second explicit approval and must follow `references/crypto-xlsx-initial-snapshot-production-import.md`: external runtime DB only, no real CSV/XLSX/reports/DBs in Git, Git-safety before/after, import-session + audit-log creation, and aggregate-only reporting.\\n- Wallet names must be unique; wallet addresses are optional and must not appear in tests/fixtures.\\n- Validate wallet type against: Hardware Wallet, Software Wallet, Exchange, Bank/Broker, DeFi, Sonstiges.\\n- CoinGecko ID is strongly recommended but not hard-required; missing ID creates a data-quality warning and blocks reliable valuation.\\n- Crypto symbols are not globally unique; symbol conflicts require warning/manual selection, never silent merging.\\n- Initial crypto holdings are confirmed snapshots by wallet+asset. Store legacy values for provenance/control only, never current valuation.\\n- Crypto holdings should be calculated/controlled from initial snapshots plus crypto transactions, not silently overwritten.\\n- Crypto transfers require different source/target wallets, quantity > 0, and same asset; coin fees reduce source-wallet balance.\\n- Negative wallet balances should be blocked in MVP and produce a critical alert unless a future explicit correction workflow is implemented.\\n- Crypto buys/sells with fiat impact must create/reference general ledger transactions via `source_type='crypto'`/`source_id` so cash remains ledger-consistent.\\n- Fiat fees should be ledger fees when unambiguous; avoid double counting when a fee is already embedded in sell net proceeds.\\n- Unknown fee currency creates a data-quality warning instead of invented accounting.\\n- Crypto Cost Basis/WAC is not required for MVP 1; MVP 1 prioritizes crypto holdings, wallet structure, current valuation, reports and audit.\\n- Crypto report context/export must be renderer-neutral and local-only: build from SQLite, aggregate by coin and wallet, use local cached prices only, preserve Decimal/Text values, ignore legacy snapshot values for current valuation, include data-quality warnings, and write generated files only to the external runtime reports directory.\\n- Crypto PDF export should be optional-dependency tolerant: prefer PDF when a renderer is available, otherwise fall back to HTML/Markdown with a clear warning while still recording report metadata and audit.\\n- After productive real-data crypto imports, run the post-import runtime verification in `references/crypto-runtime-db-consistency-verification.md`: exact safe-set membership checks, aggregate-only counts, audit/import-session traceability, dashboard render with no live API, runtime-only report generation, and Git-safety before/after.\\n- Manual dashboard additions/corrections/removals after an initial snapshot must follow `references/mvp-crypto-manual-management-ui.md`: no silent `crypto_holdings` mutation, explicit confirmation, mandatory notes for adjustments/removals, audit-log entries with old/new values, Decimal/TEXT quantity handling, no negative holdings, and no live API lookup during render.\\n- Crypto tax logic, tax lots, FIFO/LIFO and detailed cost basis are later modules.\\n- Keep crypto assets separate from `instruments` for MVP 1, but later evaluate a shared Asset Master if it improves reporting, performance views or watchlists.\\n\\n## Income/tax rules\\n\\nFor dividends and ETF distributions, separately store:\\n\\n- gross dividend/distribution\\n- Swiss withholding tax 35%\\n- foreign withholding tax\\n- other tax/withholding if present\\n- net amount\\n- original currency\\n- historic FX to CHF\\n- gross/net CHF equivalents\\n- platform/account\\n- ISIN/ticker\\n- payment date\\n- ex-dividend date if available\\n\\nPlan later ESTV/ICTax support for Swiss year-end values and tax reports, but label outputs as technical reports, not tax advice.\\n\\n## Market-data rules\\n\\n- Dashboard reads primarily from local DB, not directly from APIs on page load.\\n- For Equity/ETF FX and market-data hardening after broker mini-imports, follow `references/equity-fx-market-data-phase-c.md`: validate active `missing_fx` alerts by original transaction currency first, correct only CHF false positives with audit, keep foreign-currency missing-FX alerts active until local historical rates exist, use ISIN as instrument identity and provider symbols only as market-data mappings, and run market-price providers only from explicit CLI/scheduled jobs.\\n- First Streamlit MVP should be a safe, local, read-first shell over SQLite with explicit synthetic demo DB creation only; page render functions must not call CoinGecko/market APIs, and tests should prove that by monkeypatching provider methods to fail.\\n- Use scheduled jobs to update prices/FX/news.\\n- Store provider, timestamp, quality status and freshness for every price/FX point.\\n- Implement caching, local historical storage, batch requests where possible, provider rate-limit queues, and backoff on HTTP 429.\\n- CoinGecko integrations must be mockable and unit-tested without real API calls; treat HTTP 429 as non-fatal and return a non-fresh data-quality status plus alert after configured retries.\\n- Crypto price refresh belongs in CLI/scheduled-job commands, not dashboard/report rendering. Prefer CoinGecko batch requests over per-coin requests; expose conservative controls (`--sleep-seconds`, `--max-retries`, `--initial-backoff`, `--max-backoff`, `--only-missing`, `--only-stale`, `--only-symbol`, `--limit`, `--dry-run`, `--currency`). Commands should use aggregate-only output (`total_assets/updated/cached/skipped/stale/warnings/errors/assets_still_missing_local_price`), cache by configurable `max_age_seconds`, store exact Decimal prices as TEXT in `crypto_prices`, and verify dashboard/report contexts read local prices with `live_api_calls=False`. For details and tests see `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- Candidate providers: Finnhub, Financial Modeling Prep, Twelve Data, Stooq, Alpha Vantage selectively, Yahoo Finance fallback only; CoinGecko for crypto; later DefiLlama; ESTV/ICTax for Swiss tax values.\\n\\n## Crypto Decimal precision rules\\n\\nSQLite has no exact native DECIMAL. In the crypto context, store quantities, prices, crypto fees and valuation-relevant amounts as exact Decimal strings (`TEXT`) and compute with Python `Decimal`. Never convert crypto quantity/price/fee/valuation through float/REAL. Format Decimal writes with `format(value, \\\"f\\\")` so small quantities such as `0.00000001` do not become scientific notation. CSV importers must validate Decimal strings, and tests should assert high-precision preservation plus SQLite text storage. For multi-wallet real-data snapshots and Equity/ETF ledger fields, also see `references/multi-wallet-crypto-and-equity-manage-ui.md`; SQLite `NUMERIC` affinity can coerce Decimal-looking text to `real`, so schema/migrations should use `TEXT` for exact quantities, FX rates, original amounts and CHF equivalents where precision matters.\\n\\n## Alert lifecycle rules\\n\\nAlerts must be deduplicated and lifecycle-aware before dashboards run repeated calculations. Use a dedup key from `rule_id`, `entity_type`, `entity_id`, `priority` and an error fingerprint. Alerts should carry `status` (`active`, `resolved`, `muted`), `resolved_at`, optional `muted_until`, `last_seen_at`, `occurrence_count`, `fingerprint` and `dedup_key`. Re-seeing an identical active/resolved/muted alert should update `last_seen_at`/`occurrence_count` rather than create a new active row; changed fingerprints may create a new alert.\\n\\n## Git/GitHub safety\\n\\nCode/scripts/docs may be stored in a private Git repo, but never commit financial data. Use the `github-repo-management` skill and its `references/sensitive-code-backup.md` guidance.\\n\\nMinimum `.gitignore` for finance repos must block `data/`, `reports/`, `exports/`, `backups/`, DB files, spreadsheets, PDFs, DOCX, raw CSV/JSON, `.env`, tokens, credentials and client secrets. Only synthetic examples under `examples/` are acceptable.\\n\\n## MVP implementation safety gate\\n\\nBefore any real broker/bank/portfolio/crypto data is imported, build and verify the safety foundation described in `references/mvp-safety-gate-implementation.md`: repo skeleton, `.gitignore`, `.env.example`, runtime outside repo, settings validation, SQLite schema, synthetic fixtures, audit log, CSV dry-run, duplicate protection, and Git-safety scan. Run the safety scan before staging, committing, or pushing. If GitHub credentials are needed from Drive, use them only in a temporary location and never echo token values.\\n\\nBefore broader productive imports, implement or verify the runtime backup loop in `references/runtime-backup-and-broker-mapping.md`: backup outside Git, SHA256 verification, restore requiring explicit confirmation, tests for backup/restore/checksum, and Git-safety coverage that blocks backup artifacts in the repo. For PostFinance/True Wealth/Raiffeisen, perform structural mapping and dry-runs only until the user approves import; report aggregate counts/field coverage/quality flags only, never real values or raw rows.\\n\\n## Common pitfalls\\n\\n- Starting later analytics (Monte Carlo, backtesting, rebalancing, scoring, heatmaps, projections) while import/mapping/data-quality phases are still being hardened or while the user explicitly asked to postpone them.\\n- Treating a holdings snapshot as a real transaction history.\\n- Mixing price P&L and FX P&L.\\n- Letting dashboard refreshes hammer APIs.\\n- Committing realistic sample data to Git because the repo is private. Private GitHub is not a financial data vault.\\n- Showing real portfolio values back to the user unnecessarily in summaries.\\n- Designing Git-safety scans that block source package names like `src/.../imports` or `src/.../reports`; block top-level runtime/data directories instead.\\n- In broker/bank real-file dry-runs, aggregating Data Quality flags only for `review_status='open'`. Blocked review items are still actionable data-quality issues; include `open` and `blocked` so defensive Raiffeisen aggregate-only rows remain visible.\\n- Letting manual review actions blur into productive import actions. Review-metadata writes (ISIN/ticker/exchange/account/instrument confirmations, ignore/resolve, dry-run archive/current status) may be allowed with audit logs, but they must not write `positions_snapshot`, `transactions`, `cash_balances`, ledger rows, or cash snapshots. Name-only mapping must never become `mapped`/`ready_for_import`; ticker-only without exchange remains review-needed; `aggregate_only` remains blocked for instrument import. In guided pilots, do not force `ready_for_import` by direct status edits; let readiness logic derive it after audited metadata actions, and if parser presence flags were missed, correct only boolean presence metadata with an audit event, never actual quantities/values.\\n- Skipping the execution-plan layer between ready review items and productive broker imports. A final dry-run should materialize runtime-only execution plans with source row hash, target IDs, exact Decimal-text payload summary, quality flags and planned write status. Productive mini-imports should consume exactly one planned ready payload, write exactly one ledger `initial_position_snapshot`, mark that plan/review item imported, leave the other ready plans untouched, and verify zero direct `positions_snapshot`/cash writes. After the first productive mini-import, do not proceed straight to mass import: run regression checks, implement/test void and correction audit paths, verify backup/restore to a separate test DB, and import at most one additional ready plan. When later completing the final ready plan, first resolve Data Quality alert ambiguity by counting only active alerts (`status='active'`) and treating resolved rows as history; then import exactly one plan and consolidate counts. See `references/broker-import-execution-plan-mini-import.md`, `references/broker-mini-import-regression-and-corrections.md`, and `references/broker-mini-import-completion-and-dq-consolidation.md`.\\n- Running compile/tests before Git-safety and forgetting generated `__pycache__`; remove or ignore generated caches before safety scans. `pytest` may recreate `.pytest_cache`, so remove `__pycache__`/`.pytest_cache` again after test execution and before `git-safety-scan`.\\n- Treating every active `missing_fx` alert after a broker mini-import as a bug. First aggregate by original currency: CHF rows may be false positives (`fx=1`, `not_needed`, resolve with audit), but foreign-currency rows without local historical FX should remain active and block precise CHF valuation until rates are populated.\\n- Auto-mapping Equity/ETF market prices by instrument name or ticker alone. ISIN is the instrument identity; provider symbols are separate market-data mappings, ticker without exchange is review-needed, and missing provider symbols should create deduplicated Data Quality alerts rather than triggering provider guesses.\\n- Letting an Equity/ETF market-price dry run call providers when no confirmed mappings exist. The safe outcome is `total_mappings=0`, no provider calls, and aggregate reporting only.\\n- Productive real-data imports can partially write before surfacing schema/importer compatibility issues. Do not rerun blindly or dump row-level data; inspect aggregate counts and unique identifiers needed for idempotency, patch/complete via missing-only inserts, then verify committed import session, audit log, Git clean and Git-safety OK.\\n- In controlled one-coin runtime tests from a real XLSX, distinguish **one coin/asset** from **one holding/wallet row**. A coin may be split across multiple wallet columns; if the user required an unambiguous target wallet or one holding, stop and ask rather than choosing a wallet silently. If the user explicitly approves multi-wallet import for that coin, import exactly one asset plus one audited holding per non-empty approved wallet cell; verify aggregate counts only. If re-running a BTC/single-coin test finds the exact approved asset and holdings already present, do not import duplicates; perform the aggregate-only idempotency checks and report that asset/holding counts did not increase because duplicate prevention succeeded. See `references/crypto-single-coin-runtime-test.md`, `references/multi-wallet-crypto-and-equity-manage-ui.md`, and `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- After productive crypto imports, do a separate aggregate-only consistency pass before building new features: DB/runtime outside repo, exact safe-subset membership, no duplicate/negative/orphan holdings, correct snapshot date, null legacy-value fields when ignored, import sessions committed, holding-level audit traces present, dashboard local-read/no-live-API verified, and report generated only under runtime reports.\\n- Letting a dashboard correction UI mutate crypto holdings directly. Add/remove/edit operations must become audited transactions or `manual_adjustment` events with mandatory notes where appropriate; preserve history instead of silently overwriting balances.\\n- Treating verifier/file-mutation warnings as either automatically true or automatically false. 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            "arguments": "{\"action\":\"write_file\",\"name\":\"finance-system-architecture\",\"file_path\":\"references/true-wealth-valuation-pilot-c2.md\",\"file_content\":\"# True-Wealth Valuation Pilot C2\\n\\nUse this reference when extending Equity/ETF valuation for already-imported True Wealth initial snapshot positions. It captures durable workflow and modeling safeguards from Phase C2.\\n\\n## Scope guard\\n\\n- Do not import additional positions while doing valuation hardening.\\n- Do not import PostFinance/Raiffeisen data during the True-Wealth pilot.\\n- Keep dashboard/report rendering local-DB only; provider/API calls belong only in explicit CLI/scheduled jobs.\\n- Report only aggregate counts in chat; never quantities, prices, market values, balances, raw rows, or source-file contents.\\n- If provider symbols are absent, do not guess. Create/refresh mapping-review items and leave status as `missing_provider_symbol`.\\n\\n## Instrument identity and mapping\\n\\n- ISIN remains the instrument truth for equities/ETFs.\\n- Provider symbol is a separate market-data mapping, not the instrument identity.\\n- Never auto-map market prices from name alone. Ticker without exchange remains review-needed.\\n- Manual mapping confirmation should allow provider, provider_symbol, exchange/provider_market, currency/trading currency, confidence, note, and should write an audit event.\\n- Mapping confirmation should resolve `missing_provider_symbol` / `ambiguous_instrument_mapping` alerts for that instrument when complete.\\n\\n## Currency-hedged ETFs\\n\\nAdd or verify instrument metadata fields:\\n\\n- `is_currency_hedged`\\n- `hedged_to_currency`\\n- `hedge_status`: `hedged`, `unhedged`, `unknown`\\n- optional `base_exposure_currency`\\n- optional `trading_currency`\\n\\nRules:\\n\\n- Do not infer hedged status unless clearly supported and still mark review-required if uncertain.\\n- `hedge_status=unknown` should create a deduplicated `hedge_status_unknown` alert/warning.\\n- Manual hedge-status changes require audit log.\\n- If `is_currency_hedged=true` and `hedged_to_currency=CHF`, valuation may still use a price currency and FX conversion for display, but Total Return / FX attribution must not present naive free FX-PnL as methodically clean. Add a warning such as `currency_hedged_fx_attribution` and suppress precise Total Return if appropriate.\\n\\n## Instrument status and valuation policy\\n\\nAdd or verify:\\n\\n- `instrument_status`: `active`, `delisted`, `suspended`, `merged`, `inactive`, `unknown`\\n- `valuation_policy`: `live_price`, `last_known_price`, `manual_value`, `exclude_from_auto_price_update`\\n\\nRules:\\n\\n- `delisted`, `suspended`, `merged`, `inactive`, or `exclude_from_auto_price_update` instruments must be excluded from automatic price refresh.\\n- Create/update one deduplicated `delisted_or_suspended` alert rather than daily alert floods.\\n- Dashboard should show frozen/manual valuation state clearly.\\n- Status changes require audit log.\\n- Do not automatically mark delisted from weak provider failures; use suspected/review flags.\\n\\n## Historical FX failure handling\\n\\nHistorical FX APIs may be paywalled or unavailable. Provider failures such as 403/paywall/rate-limit/unavailable must not crash valuation/import flows.\\n\\nImplement behavior:\\n\\n- Persist local `fx_rates` error row or equivalent with `quality_status='manual_override_required'`.\\n- Set `fx_source='manual_override_required'` where applicable.\\n- Create deduplicated alerts: `historical_fx_unavailable` and `manual_override_required`.\\n- Keep affected positions `partially_valuable`, not failed/import-blocked.\\n- Never use latest FX as historical snapshot FX without explicit manual confirmation.\\n- Manual FX override requires non-empty note and audit event; resolving appropriate FX alerts is allowed after a valid override.\\n\\n## Price/FX timestamp alignment\\n\\nAdd valuation timestamp status:\\n\\n- `aligned`\\n- `acceptable`\\n- `stale_mismatch`\\n- `missing_timestamp`\\n\\nRules:\\n\\n- Use a configurable tolerance such as `max_price_fx_time_delta_hours=24` for MVP EOD data.\\n- If price and FX timestamps are too far apart, do not crash; mark warning and create `stale_valuation` alert.\\n- Avoid false precision when timestamps are missing or mismatched.\\n- Be careful comparing timezone-aware and date-only timestamps; normalize naive dates to UTC before subtraction.\\n\\n## Corporate action safeguards\\n\\nAdd or verify:\\n\\n- `corporate_action_status`: `not_checked`, `none_known`, `suspected`, `confirmed`, `adjusted`, `ignored`\\n- `split_or_corporate_action_review_required`\\n\\nMVP heuristic:\\n\\n- If a new local price moves unrealistically versus the previous local price, e.g. >25% day-to-day, create `corporate_action_suspected` and `split_or_corporate_action_review_required` alerts/flags.\\n- Do not automatically split-adjust in MVP.\\n- Do not show high-confidence performance across suspected corporate actions.\\n\\n## Valuation status\\n\\nClassify each position:\\n\\n- `valuable`: quantity, instrument, local market price, FX/not-needed/methodically-clean hedge handling, acceptable timestamp alignment, no blocking quality flags, and active/approved valuation policy.\\n- `partially_valuable`: holding exists but FX, price, hedge status, timestamp alignment, cost basis, or other methodical element is incomplete.\\n- `not_valuable`: missing core quantity/instrument/account, excluded instrument status/policy, or no mapping/manual value path.\\n\\nEven if current market value can be computed, historical performance/Total Return stays incomplete while `snapshot_only` or `cost_basis_uncertain` remains active.\\n\\n## Runtime pilot checklist\\n\\n1. Apply migrations and run Git-safety baseline.\\n2. Identify only the already-imported True-Wealth snapshot instruments.\\n3. Refresh provider-symbol mapping quality and instrument metadata quality.\\n4. If no confirmed provider symbols exist, run market-price dry run and expect `total_mappings=0`; no provider calls should occur.\\n5. Refresh valuation statuses via local DB only.\\n6. Report aggregate counts for provider-symbol, hedge, instrument status, FX, market price, timestamp alignment, corporate action, valuation, and active alerts.\\n7. Run compile, pytest, Git-safety after removing `.pytest_cache`/`__pycache__` if needed.\\n\\n## Tests to include\\n\\n- Missing provider symbol creates alert; confirmed mapping writes audit and resolves alert.\\n- Hedge unknown creates warning; hedge-status change writes audit; CHF-hedged ETF does not present naive FX-PnL as clean Total Return.\\n- Missing FX remains active; FX present resolves missing-FX; historical FX unavailable creates manual-override-required without crash; manual FX override requires note and audit.\\n- Market price present resolves `missing_market_price`; delisted/suspended/excluded instruments are not auto-fetched and do not create alert floods.\\n- Aligned timestamps classify OK; stale mismatch creates `stale_valuation`.\\n- >25% local price move creates corporate-action suspected/review-required and no automatic split correction.\\n- Valuation status covers `not_valuable`, `partially_valuable`, `valuable`; dashboard reads local DB only.\\n\"}"
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            "arguments": "{\"action\":\"patch\",\"name\":\"finance-system-architecture\",\"old_string\":\"and `references/equity-fx-market-data-phase-c.md` for the local FX/market-data foundation after broker mini-imports and before broader Equity/ETF valuation/imports. Key decisions:\",\"new_string\":\"`references/equity-fx-market-data-phase-c.md` for the local FX/market-data foundation after broker mini-imports and before broader Equity/ETF valuation/imports, and `references/true-wealth-valuation-pilot-c2.md` for the True-Wealth valuation pilot safeguards around hedge metadata, provider mappings, historical FX failures, timestamp alignment, corporate-action flags, and aggregate-only runtime reporting. Key decisions:\"}"
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            "arguments": "{\"action\":\"patch\",\"name\":\"finance-system-architecture\",\"old_string\":\"- For Equity/ETF FX and market-data hardening after broker mini-imports, follow `references/equity-fx-market-data-phase-c.md`: validate active `missing_fx` alerts by original transaction currency first, correct only CHF false positives with audit, keep foreign-currency missing-FX alerts active until local historical rates exist, use ISIN as instrument identity and provider symbols only as market-data mappings, and run market-price providers only from explicit CLI/scheduled jobs.\\n- First Streamlit MVP should be a safe, local, read-first shell over SQLite with explicit synthetic demo DB creation only; page render functions must not call CoinGecko/market APIs, and tests should prove that by monkeypatching provider methods to fail.\",\"new_string\":\"- For Equity/ETF FX and market-data hardening after broker mini-imports, follow `references/equity-fx-market-data-phase-c.md`: validate active `missing_fx` alerts by original transaction currency first, correct only CHF false positives with audit, keep foreign-currency missing-FX alerts active until local historical rates exist, use ISIN as instrument identity and provider symbols only as market-data mappings, and run market-price providers only from explicit CLI/scheduled jobs.\\n- For the True-Wealth valuation pilot, follow `references/true-wealth-valuation-pilot-c2.md`: do not import more positions, do not guess provider symbols or hedge status, extend instrument metadata for currency hedging/status/valuation policy/corporate-action state, handle historical-FX paywalls as `manual_override_required` without crashing, align price/FX timestamps before claiming valuation precision, and report only aggregate runtime counts.\\n- First Streamlit MVP should be a safe, local, read-first shell over SQLite with explicit synthetic demo DB creation only; page render functions must not call CoinGecko/market APIs, and tests should prove that by monkeypatching provider methods to fail.\"}"
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