{
"session_id": "20260515_140425_913e53",
"model": "gpt-5.5",
"base_url": "https://chatgpt.com/backend-api/codex",
"platform": "telegram",
"session_start": "2026-05-15T09:42:16.586070",
"last_updated": "2026-05-15T14:25:34.724476",
"system_prompt": "# Hermes Agent Persona\n\n\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\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\n\n\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\n\n\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\n\n\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\n\n\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\n\n\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\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\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n edge-tts:\n - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n finance:\n - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n health:\n - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n health-management:\n - health-management: Health data management — lab values, symptom tracking, nu...\n jarvis-routing-policy:\n - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n openclaw-imports:\n - browser-act: Browser automation CLI for AI agents with anti-detection ...\n - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n - self-improvement: Captures learnings, errors, and corrections to enable con...\n - sherpa-onnx-tts\n - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - tavily: Tavily web search, content extraction, and research tools.\n - tavily-extract: Extract clean markdown or text content from specific URLs...\n - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - web-scraping: Techniques for scraping web content, handling bot detecti...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yazio-integration:\n - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\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  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 `\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 02:04 PM\nModel: gpt-5.5\nProvider: openai-codex",
"tools": [
{
"type": "function",
"function": {
"name": "browser_back",
"description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_click",
"description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
}
},
"required": [
"ref"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_console",
"description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
"parameters": {
"type": "object",
"properties": {
"clear": {
"type": "boolean",
"default": false,
"description": "If true, clear the message buffers after reading"
},
"expression": {
"type": "string",
"description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_get_images",
"description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_navigate",
"description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to navigate to (e.g., 'https://example.com')"
}
},
"required": [
"url"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_press",
"description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
}
},
"required": [
"key"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_scroll",
"description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"direction": {
"type": "string",
"enum": [
"up",
"down"
],
"description": "Direction to scroll"
}
},
"required": [
"direction"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_snapshot",
"description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
"parameters": {
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_type",
"description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e3')"
},
"text": {
"type": "string",
"description": "The text to type into the field"
}
},
"required": [
"ref",
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_vision",
"description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "What you want to know about the page visually. Be specific about what you're looking for."
},
"annotate": {
"type": "boolean",
"default": false,
"description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "clarify",
"description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to present to the user."
},
"choices": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 4,
"description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "cronjob",
"description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"description": "One of: create, list, update, pause, resume, remove, run"
},
"job_id": {
"type": "string",
"description": "Required for update/pause/resume/remove/run"
},
"prompt": {
"type": "string",
"description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
},
"schedule": {
"type": "string",
"description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
},
"name": {
"type": "string",
"description": "Optional human-friendly name"
},
"repeat": {
"type": "integer",
"description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
},
"deliver": {
"type": "string",
"description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
},
"skills": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
},
"model": {
"type": "object",
"description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
"properties": {
"provider": {
"type": "string",
"description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
},
"model": {
"type": "string",
"description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
}
},
"required": [
"model"
]
},
"script": {
"type": "string",
"description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
},
"no_agent": {
"type": "boolean",
"default": false,
"description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
},
"context_from": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
},
"enabled_toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
},
"workdir": {
"type": "string",
"description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "delegate_task",
"description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
"parameters": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
},
"context": {
"type": "string",
"description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
},
"tasks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "Task goal"
},
"context": {
"type": "string",
"description": "Task-specific context"
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
},
"acp_command": {
"type": "string",
"description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Per-task ACP args override. Leave empty unless acp_command is set."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Per-task role override. See top-level 'role' for semantics."
}
},
"required": [
"goal"
]
},
"description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
},
"acp_command": {
"type": "string",
"description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "execute_code",
"description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
}
},
"required": [
"code"
]
}
}
},
{
"type": "function",
"function": {
"name": "image_generate",
"description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown  and the gateway will deliver it.",
"parameters": {
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "The text prompt describing the desired image. Be detailed and descriptive."
},
"aspect_ratio": {
"type": "string",
"enum": [
"landscape",
"square",
"portrait"
],
"description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.",
"default": "landscape"
}
},
"required": [
"prompt"
]
}
}
},
{
"type": "function",
"function": {
"name": "memory",
"description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"add",
"replace",
"remove"
],
"description": "The action to perform."
},
"target": {
"type": "string",
"enum": [
"memory",
"user"
],
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
},
"content": {
"type": "string",
"description": "The entry content. Required for 'add' and 'replace'."
},
"old_text": {
"type": "string",
"description": "Short unique substring identifying the entry to replace or remove."
}
},
"required": [
"action",
"target"
]
}
}
},
{
"type": "function",
"function": {
"name": "patch",
"description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
"default": "replace"
},
"path": {
"type": "string",
"description": "REQUIRED when mode='replace'. File path to edit."
},
"old_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "Replace all occurrences instead of requiring a unique match (default: false)",
"default": false
},
"patch": {
"type": "string",
"description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
}
},
"required": [
"mode"
]
}
}
},
{
"type": "function",
"function": {
"name": "process",
"description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"list",
"poll",
"log",
"wait",
"kill",
"write",
"submit",
"close"
],
"description": "Action to perform on background processes"
},
"session_id": {
"type": "string",
"description": "Process session ID (from terminal background output). Required for all actions except 'list'."
},
"data": {
"type": "string",
"description": "Text to send to process stdin (for 'write' and 'submit' actions)"
},
"timeout": {
"type": "integer",
"description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
"minimum": 1
},
"offset": {
"type": "integer",
"description": "Line offset for 'log' action (default: last 200 lines)"
},
"limit": {
"type": "integer",
"description": "Max lines to return for 'log' action",
"minimum": 1
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to read (absolute, relative, or ~/path)"
},
"offset": {
"type": "integer",
"description": "Line number to start reading from (1-indexed, default: 1)",
"default": 1,
"minimum": 1
},
"limit": {
"type": "integer",
"description": "Maximum number of lines to read (default: 500, max: 2000)",
"default": 500,
"maximum": 2000
}
},
"required": [
"path"
]
}
}
},
{
"type": "function",
"function": {
"name": "search_files",
"description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
"parameters": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
},
"target": {
"type": "string",
"enum": [
"content",
"files"
],
"description": "'content' searches inside file contents, 'files' searches for files by name",
"default": "content"
},
"path": {
"type": "string",
"description": "Directory or file to search in (default: current working directory)",
"default": "."
},
"file_glob": {
"type": "string",
"description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return (default: 50)",
"default": 50
},
"offset": {
"type": "integer",
"description": "Skip first N results for pagination (default: 0)",
"default": 0
},
"output_mode": {
"type": "string",
"enum": [
"content",
"files_only",
"count"
],
"description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
"default": "content"
},
"context": {
"type": "integer",
"description": "Number of context lines before and after each match (grep mode only)",
"default": 0
}
},
"required": [
"pattern"
]
}
}
},
{
"type": "function",
"function": {
"name": "send_message",
"description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"send",
"list"
],
"description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
},
"target": {
"type": "string",
"description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)"
},
"message": {
"type": "string",
"description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "session_search",
"description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
},
"role_filter": {
"type": "string",
"description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
},
"limit": {
"type": "integer",
"description": "Max sessions to summarize (default: 3, max: 5).",
"default": 3
}
}
}
}
},
{
"type": "function",
"function": {
"name": "skill_manage",
"description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` 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 `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"create",
"patch",
"edit",
"delete",
"write_file",
"remove_file"
],
"description": "The action to perform."
},
"name": {
"type": "string",
"description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
},
"content": {
"type": "string",
"description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
},
"category": {
"type": "string",
"description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
},
"file_path": {
"type": "string",
"description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
},
"file_content": {
"type": "string",
"description": "Content for the file. Required for 'write_file'."
},
"absorbed_into": {
"type": "string",
"description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
}
},
"required": [
"action",
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skill_view",
"description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
},
"file_path": {
"type": "string",
"description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
}
},
"required": [
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skills_list",
"description": "List available skills (name + description). Use skill_view(name) to load full content.",
"parameters": {
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter to narrow results"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "terminal",
"description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
"parameters": {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "The command to execute on the VM"
},
"background": {
"type": "boolean",
"description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
"default": false
},
"timeout": {
"type": "integer",
"description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
"minimum": 1
},
"workdir": {
"type": "string",
"description": "Working directory for this command (absolute path). Defaults to the session working directory."
},
"pty": {
"type": "boolean",
"description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
"default": false
},
"notify_on_complete": {
"type": "boolean",
"description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
"default": false
},
"watch_patterns": {
"type": "array",
"items": {
"type": "string"
},
"description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
}
},
"required": [
"command"
]
}
}
},
{
"type": "function",
"function": {
"name": "text_to_speech",
"description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
},
"output_path": {
"type": "string",
"description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3"
}
},
"required": [
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "todo",
"description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
"parameters": {
"type": "object",
"properties": {
"todos": {
"type": "array",
"description": "Task items to write. Omit to read current list.",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Unique item identifier"
},
"content": {
"type": "string",
"description": "Task description"
},
"status": {
"type": "string",
"enum": [
"pending",
"in_progress",
"completed",
"cancelled"
],
"description": "Current status"
}
},
"required": [
"id",
"content",
"status"
]
}
},
"merge": {
"type": "boolean",
"description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "vision_analyze",
"description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.",
"parameters": {
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Image URL (http/https), local file path, or data: URL to load."
},
"question": {
"type": "string",
"description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."
}
},
"required": [
"image_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 246,
"messages": [
{
"role": "user",
"content": "[M G] Danke. Der Crypto Price Update MVP ist akzeptiert.\n\nDie Umsetzung ist grundsätzlich sinnvoll:\n\n* lokaler Preis-Cache\n* kein Live-API-Call im Dashboard/Report\n* 429-Handling\n* Git-Safety sauber\n* Tests grün\n* Runtime-Daten außerhalb Git\n\nAllerdings bist du vom vorher vereinbarten Ablauf abgewichen. Das ist in diesem Fall nicht schlimm, weil der Preisupdate-Block nützlich ist. Bitte jetzt aber wieder kontrolliert auf die nächsten Prioritäten einschwenken.\n\nAktueller Stand:\n\n* Commit 3aa67d8 ist akzeptiert.\n* Preisupdate funktioniert technisch.\n* Aber nur 6 von 20 aktiven Crypto Assets hatten frische CHF-Preise.\n* 14 Assets hatten Warnings/Stale/Provider-Limit-Themen.\n* BTC-Test wurde noch nicht abgeschlossen.\n* Equity/ETF Manage UI wurde noch nicht begonnen.\n\nBitte jetzt wie folgt weiterfahren:\n\n## Teil 1: Crypto Price Update robuster machen\n\nBitte verbessere zuerst den Preisupdate-Mechanismus, bevor wir echte Reports mit Preisen ernsthaft nutzen.\n\nZiel:\nMöglichst alle vorhandenen Crypto Assets mit CoinGecko-ID sollen lokale CHF-Preise erhalten, ohne Dashboard-Live-API und ohne Rate-Limit-Crash.\n\nBitte implementiere:\n\n1. Batch-Abfrage prüfen/umsetzen\n\n* Wenn CoinGecko mehrere IDs in einem Request unterstützt, bitte nutzen.\n* Dadurch weniger API-Calls.\n* Kein Abruf pro Coin, falls Batch möglich ist.\n\n2. Konservatives Throttling\n\n* Pause zwischen Requests\n* konfigurierbar:\n\n * --sleep-seconds\n * --max-retries\n * --initial-backoff\n * --max-backoff\n\n3. CLI-Optionen ergänzen\n Bitte vorbereiten/implementieren:\n\n* --only-missing\n* --only-stale\n* --only-symbol SYMBOL\n* --limit N\n* --dry-run\n* --currency CHF\n\n4. Bessere Summary\n Bitte nach Update nur aggregiert ausgeben:\n\n* total assets\n* updated\n* cached\n* skipped\n* stale\n* warnings\n* errors\n* assets still missing local price\n* keine echten Mengen/Werte\n\n5. Data Quality\n\n* Für Assets ohne frischen Preis Data-Quality-Alert erzeugen oder aktualisieren.\n* Alert-Dedupe respektieren.\n* Keine Alert-Flut.\n\n6. Tests\n Bitte Tests ergänzen für:\n\n* Batch-Request\n* --only-missing\n* --only-stale\n* --only-symbol\n* --limit\n* --dry-run\n* Rate-Limit mit Backoff\n* Alert-Dedupe bei fehlenden Preisen\n\nDanach bitte produktiv gegen Runtime-DB nochmals ausführen, aber vorsichtig und ohne echte Werte im Chat.\n\nBitte berichten:\n\n* Anzahl Assets total\n* Anzahl Assets mit frischem CHF-Preis\n* Anzahl weiterhin ohne frischen Preis\n* Anzahl Warnings/Errors\n* keine Preise/Werte/Mengen ausgeben\n\n## Teil 2: BTC-Test nachholen\n\nDanach bitte den BTC-Test wie zuletzt entschieden nachholen:\n\nOption A:\nBTC mit allen BTC-Wallet-Holdings aus Excel importieren.\n\nBedingungen:\n\n* Nur Bitcoin BTC\n* Coin-Name: Bitcoin\n* Symbol: BTC\n* CoinGecko-ID: bitcoin\n* Mapping-Status: selected\n* Snapshot-Datum: 31.12.2025\n* Alle BTC-Wallet-Holdings aus der echten Excel-Datei übernehmen\n* Pro BTC-Wallet mit Bestand genau eine initial_snapshot_addition bzw. initial_snapshot-Holding erzeugen\n* Mengen exakt als Decimal/Text übernehmen\n* Keine Float-Konvertierung\n* Keine echten Mengen/Werte im Chat\n* Keine anderen Coins importieren\n* Audit-Log Pflicht\n* Keine doppelte Holding für asset_id + wallet_id\n* Legacy-CHF-Werte ignorieren\n* Git-Safety vor/nachher prüfen\n\nBericht nur aggregiert:\n\n* BTC-Test durchgeführt: ja/nein\n* Anzahl BTC-Wallet-Holdings importiert\n* Asset-Anzahl erhöht: ja/nein\n* Holding-Anzahl erhöht: ja/nein\n* Audit-Logs erstellt: ja/nein\n* Doppelte Holdings: ja/nein\n* Fehler/Warnings\n* Git-Safety Ergebnis\n* Git Status\n\n## Teil 3: Danach Equity/ETF Manage UI\n\nErst wenn Teil 1 und Teil 2 sauber sind, bitte mit der Equity/ETF Manage UI beginnen.\n\nZiel:\nAktien und ETFs aus PostFinance, True Wealth und Raiffeisen später im Dashboard erfassen, korrigieren und als Initial Snapshot übernehmen können — auditierbar und ohne stilles Überschreiben.\n\nGrundlogik:\n\n* Für Aktien/ETFs ist ISIN die primäre Identifikation.\n* Ticker und Exchange sind Zusatzinformationen.\n* Positionen werden über initial_position_snapshot, buy, sell, dividend, fee oder manual_adjustment abgebildet.\n* Jede Änderung braucht\nAudit-Log.\n* Fremdwährungen USD/EUR brauchen FX-Kurs und CHF-Gegenwert.\n* Keine Scheingenauigkeit, wenn Kaufhistorie, Gebühren oder historische FX fehlen.\n* Erst mit synthetischen Daten und Dummy-Depots bauen.\n* Keine echten PostFinance-/TrueWealth-/Raiffeisen-Daten importieren.\n\nBitte vormerken für die Equity/ETF Manage UI:\n\n* Aktie/ETF als Initial Snapshot hinzufügen\n* Buy\n* Partial Sell\n* Full Sell\n* Dividend\n* ETF Distribution\n* Fee\n* Manual Adjustment\n* ISIN Pflicht oder stark empfohlen\n* ISIN/Ticker dürfen nicht beide leer sein\n* Währung Pflicht\n* Depot/Konto Pflicht\n* FX bei Fremdwährung\n* Audit-Log Pflicht\n* Notiz Pflicht bei manual_adjustment oder unvollständiger Historie\n\n## Weitere Funktionsmodule bitte vormerken, aber noch nicht bauen\n\nBitte für später als Backlog vormerken:\n\n1. Portfolio Health Seite\n\n* Gesamtwert CHF\n* Assetklassen\n* Plattformen\n* Datenqualität\n* Cashquote\n* fehlende Preise/FX\n\n2. Reconciliation / Abgleich-Seite\n\n* Dashboard-Bestand vs. letzter Snapshot\n* manuelle Prüfung „Bestand geprüft am Datum X“\n* Differenzen sichtbar machen\n\n3. Data Quality Center\n\n* fehlende Preise\n* stale prices\n* fehlende FX\n* fehlende ISIN\n* fehlende CoinGecko-ID\n* unvollständige Historie\n\n4. Manual Review Queue\n\n* ausgelassene Coins\n* unsichere Mappings\n* offene Alerts\n* offene Datenqualitätsprobleme\n\n5. Backup / Restore\n\n* Runtime-DB Backup\n* verschlüsseltes Backup optional\n* Restore-Test später\n\n6. Safe Mode / Read-only Mode\n\n* Dashboard im Lesemodus\n* Schreibfunktionen bewusst aktivieren\n* Schutz gegen versehentliche Änderungen\n\nBitte jetzt zuerst Teil 1 umsetzen, dann Teil 2, dann Teil 3. Keine echten Aktien-/ETF-Daten importieren."
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_aPJB5BHKCgjvCyFPcmSxWkXr",
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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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"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 \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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"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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"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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[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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"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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"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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"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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{
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"content": "",
"tool_calls": [
{
"id": "call_fouG9FHlQPJHZXHVY2jlYgrd",
"call_id": "call_fouG9FHlQPJHZXHVY2jlYgrd",
"response_item_id": "fc_0134d7700e125cf0016a070b4ca808819195bad28e3a1737be",
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"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\"}"
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"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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"reasoning_content": "**Inspecting tasks and tools**\n\nI need to continue from the current state and inspect Git to see if the loaded skill is okay. I also need to finish some tasks, like running a summary after deduplication, compiling, ensuring safety, and then committing and pushing to Git. I’m wondering if I need to check for CLI options too. I'll make sure to use the appropriate tools for this process!",
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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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"content": "",
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{
"id": "call_qN5IvFSIO1NqzlKzDj3Iyaim",
"call_id": "call_qN5IvFSIO1NqzlKzDj3Iyaim",
"response_item_id": "fc_0134d7700e125cf0016a070beb51e081918e2940432e474396",
"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",
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"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\"}"
}
},
{
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"call_id": "call_3cKHN9xFM5LrICrdenByt4vh",
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"name": "terminal",
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}
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],
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{
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"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"
},
{
"role": "tool",
"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=3 missing_fx=3 missing_market_price=3 missing_provider_symbol=3 snapshot_only=3\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_OU5szQKhY4E1BdHhEjoI8umC"
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{
"role": "tool",
"content": "{\"output\": \"MARKET_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}",
"tool_call_id": "call_3cKHN9xFM5LrICrdenByt4vh"
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{
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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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"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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{
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"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}",
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"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`.",
"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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"arguments": "{\"command\":\"python - <<'PY'\\nimport csv, os, subprocess, sys\\nfrom pathlib import Path\\np=Path.home()/'jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv'\\ntext=p.read_text().strip()\\ntoken=None\\ntry:\\n rows=list(csv.reader(text.splitlines()))\\n flat=[cell.strip() for row in rows for cell in row if cell.strip()]\\n for cell in flat:\\n if cell.startswith(('ghp_','github_pat_','gho_')):\\n token=cell\\n break\\n if token is None and flat:\\n token=flat[-1]\\nexcept Exception:\\n token=text\\nif not token:\\n print('PUSH_AUTH_TOKEN_MISSING', file=sys.stderr)\\n sys.exit(2)\\ncmd=['git','-c',f'http.extraHeader=Authorization: Bearer {token}','push','origin','main']\\nres=subprocess.run(cmd, cwd='.', text=True, capture_output=True)\\nout=(res.stdout+res.stderr).replace(token,'[REDACTED]')\\nprint(out, end='')\\nsys.exit(res.returncode)\\nPY\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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"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.",
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{
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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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]
},
{
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"content": "{\"output\": \"fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}",
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"arguments": "{\"command\":\"python - <<'PY'\\nimport csv, subprocess, sys\\nfrom pathlib import Path\\np=Path.home()/'jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv'\\nrows=list(csv.reader(p.read_text().splitlines()))\\nflat=[cell.strip() for row in rows for cell in row if cell.strip()]\\ntoken=next((c for c in flat if c.startswith(('ghp_','github_pat_','gho_'))), flat[-1] if flat else '')\\nif not token:\\n print('PUSH_AUTH_TOKEN_MISSING', file=sys.stderr); sys.exit(2)\\nurl=f'https://x-access-token:{token}@github.com/Gamexgit/FinanceManager.git'\\nres=subprocess.run(['git','push',url,'main'], text=True, capture_output=True)\\nout=(res.stdout+res.stderr).replace(token,'[REDACTED]')\\nprint(out, end='')\\nsys.exit(res.returncode)\\nPY\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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{
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"content": "{\"output\": \"To https://github.com/Gamexgit/FinanceManager.git\\n 5fa8fac..268b809 main -> main\", \"exit_code\": 0, \"error\": null}",
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{
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"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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{
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"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.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()]\\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\"}"
}
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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 `\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 `\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": "[M G] Sehr gut. Phase C2 ist akzeptiert.\n\nDer Stand ist sauber:\n\n* Commit 268b809 gepusht\n* Tests: 178 passed\n* Git-Safety: OK\n* True-Wealth-Positionen total: 3\n* Valuation-Status: partially_valuable für alle 3\n* Provider-Symbol fehlt für alle 3\n* Hedge-Status unknown für alle 3\n* Instrument-Status unknown für alle 3\n* FX fehlt für alle 3\n* Market Price fehlt für alle 3\n* keine weiteren Positionen importiert\n* keine echten Werte/Mengen/Kontostände im Chat\n\nBitte jetzt keine weiteren Imports, keine Heatmaps, keine Scores, kein Rebalancing, kein Backtesting und keine Monte-Carlo-Module bauen.\n\nDer nächste Schritt ist:\n\n# Phase C3 — True-Wealth Mapping Candidate Review\n\nZiel:\nDie 3 importierten True-Wealth-Instrumente sollen so weit gemappt werden, dass Market-Data- und FX-Bewertung später gezielt möglich werden.\n\nWichtig:\n\n* Keine Positionswerte/Mengen/Kontostände im Chat.\n* Keine echten Dateien ins Git.\n* Keine weiteren Portfolio-Imports.\n* Keine automatische finale Bestätigung bei Mehrdeutigkeit.\n* Keine Live-API im Dashboard.\n* Runtime-Review-Daten sind erlaubt.\n* Chat-Ausgabe bleibt aggregiert.\n\n## 1. Mapping Candidate Generator\n\nBitte implementiere oder erweitere einen Mapping-Candidate-Generator für die 3 True-Wealth-Instrumente.\n\nInput:\n\n* instrument_id\n* ISIN\n* Name\n* vorhandener Ticker, falls vorhanden\n* vorhandene Exchange, falls vorhanden\n* Währung\n* Quelle: True Wealth\n\nOutput pro Instrument, nur Runtime-intern:\n\n* candidate_id\n* instrument_id\n* isin\n* candidate_provider\n* candidate_provider_symbol\n* candidate_exchange\n* candidate_currency\n* candidate_name\n* candidate_is_hedged\n* candidate_hedged_to_currency\n* candidate_instrument_status\n* confidence:\n\n * high\n * medium\n * low\n* evidence_source\n* evidence_note\n* review_status:\n\n * proposed\n * selected\n * rejected\n * needs_manual_review\n* created_at\n\nBitte eine Tabelle vorbereiten, z.B.:\n\ninstrument_price_mapping_candidates\n\noder bestehende Mapping-Struktur sauber erweitern.\n\nRegeln:\n\n* ISIN-Match ist stärker als Name/Ticker.\n* Name-only reicht nicht.\n* Ticker ohne Exchange bleibt review-pflichtig.\n* Mehrere Kandidaten → needs_manual_review.\n* Kein Kandidat → missing_provider_symbol bleibt aktiv.\n* Hedge-Status nur automatisch setzen, wenn eindeutig aus Kandidat/Name/Provider erkennbar; sonst unknown.\n* Instrument-Status nur active, wenn belastbar; sonst unknown.\n\n## 2. Öffentliche Instrumentdaten / Provider Lookup\n\nFalls möglich, nutze öffentliche oder konfigurierbare Quellen, um Kandidaten zu finden.\n\nMögliche Quellen:\n\n* Stooq\n* Yahoo-Fallback, nur wenn zulässig und stabil genug\n* Finnhub/FMP/Twelve Data, falls API-Key vorhanden\n* Anbieter-/ETF-Metadaten, falls über ISIN auffindbar\n* lokale manuelle Eingabe, falls Lookup nicht möglich\n\nWichtig:\n\n* Wenn API fehlt oder Lookup scheitert, kein Crash.\n* Status: provider_lookup_unavailable.\n* Kandidaten können manuell im Dashboard erfasst werden.\n* Keine echten Portfolio-Mengen/Werte im Chat.\n\n## 3. Dashboard Review UI\n\nBitte baue/erweitere eine Seite oder einen Abschnitt:\n\n### Instrument Price Mapping Review\n\nFunktionen:\n\n* Liste der 3 True-Wealth-Instrumente mit Mapping-Status\n* Kandidaten anzeigen\n* Provider auswählen\n* Provider-Symbol bestätigen\n* Exchange bestätigen\n* Währung bestätigen\n* Hedge-Status bestätigen:\n\n * hedged\n * unhedged\n * unknown\n* Hedged-to Currency setzen, falls hedged\n* Instrument-Status bestätigen:\n\n * active\n * suspended\n * delisted\n * merged\n * inactive\n * unknown\n* Valuation Policy setzen:\n\n * live_price\n * last_known_price\n * manual_value\n * exclude_from_auto_price_update\n* Auswahl speichern\n* Audit-Log schreiben\n* Data-Quality-Alerts aktualisieren/resolven\n\nWichtig:\n\n* Default bleibt review-pflichtig.\n* Keine automatische finale Auswahl bei Mehrdeutigkeit.\n* Keine produktive Position verändern.\n* Nur Mapping-/Metadaten schreiben.\n\n## 4. Hedge-Status-Prüfung\n\nBitte für jedes der 3 Instrumente Runtime-intern prüfen:\n\n* Ist im Namen oder Provider-Kandidaten „CHF hedged“, „hedged CHF“, „currency hedged“ oder Ähnliches erkennbar?\n* Falls eindeutig:\n\n *\ncandidate_is_hedged = true\n * candidate_hedged_to_currency = CHF\n * review_status trotzdem proposed, bis bestätigt\n* Falls nicht eindeutig:\n\n * hedge_status bleibt unknown\n * Data-Quality-Hinweis bleibt bestehen\n\nBitte nicht raten.\n\n## 5. Instrument-Status-Prüfung\n\nBitte prüfen/vorbereiten:\n\n* active\n* suspended\n* delisted\n* merged\n* inactive\n* unknown\n\nWenn Provider-Lookup keinen Preis/Symbol liefert:\n\n* nicht sofort delisted setzen\n* Status höchstens unknown oder suspected_inactive\n* Manual Review nötig\n\n## 6. FX-Strategie vorbereiten\n\nBitte für die 3 Positionen weiterhin keine FX-Werte raten.\n\nBitte vorbereiten:\n\n* Liste benötigter FX-Paare aggregiert\n* Snapshot-Datum vorhanden\n* historische FX fehlt weiterhin\n* falls Provider fehlt oder historische Daten nicht verfügbar:\n\n * manual_override_required\n * historical_fx_unavailable\n * Position bleibt partially_valuable\n\nBitte Dashboard/Review UI für FX Override vorbereiten:\n\n* Währungspaar\n* Datum\n* FX-Rate\n* Quelle/Notiz Pflicht\n* Audit-Log\n* Alert Resolve bei erfolgreichem Override\n\nNoch keine manuellen FX-Rates ohne meine Freigabe setzen.\n\n## 7. Market-Price Dry Run\n\nNach Kandidatengenerierung:\n\n* kein produktiver Preisabruf ohne bestätigtes Provider-Symbol\n* falls Kandidaten vorhanden, nur Dry Run\n* keine Preise im Chat\n* nur aggregiert:\n\n * Instrumente total\n * Kandidaten gefunden\n * Kandidaten high/medium/low confidence\n * Instrumente weiterhin ohne Kandidat\n * Instrumente mit Hedge unknown\n * Instrumente mit Status unknown\n\n## 8. Data Quality Center aktualisieren\n\nBitte Data Quality Center erweitern/prüfen:\n\n* missing_provider_symbol\n* provider_lookup_unavailable\n* ambiguous_provider_mapping\n* hedge_status_unknown\n* instrument_status_unknown\n* manual_fx_override_required\n* historical_fx_unavailable\n* missing_market_price\n* stale_market_price\n* stale_valuation\n* corporate_action_status\n\nLinks:\n\n* zur Instrument Price Mapping Review\n* zur FX Override Review\n* zur Manual Review Queue\n\n## 9. Tests\n\nBitte Tests ergänzen für:\n\n* Candidate Generator erzeugt Kandidaten aus ISIN-Match\n* Name-only Candidate bleibt review-pflichtig\n* mehrere Kandidaten → needs_manual_review\n* kein Kandidat → missing_provider_symbol bleibt aktiv\n* Hedge-Status unknown erzeugt Alert\n* CHF-hedged Candidate bleibt proposed, bis bestätigt\n* Instrument-Status unknown erzeugt Hinweis\n* Provider-Lookup-Fehler crasht nicht\n* Mapping-Auswahl schreibt Audit\n* Mapping-Auswahl resolved missing_provider_symbol\n* FX Override UI/Service braucht Notiz\n* FX Override resolved missing_fx\n* Market-Price Dry Run ohne bestätigten Provider-Symbol ruft keinen Preis ab\n* Dashboard rendert Review UI ohne Live-API\n* Git-Safety OK\n\n## 10. Produktiver vorsichtiger Runtime-Lauf\n\nBitte gegen Runtime-DB ausführen:\n\n* Kandidaten für 3 True-Wealth-Instrumente erzeugen, falls möglich\n* keine finale automatische Auswahl\n* keine Preise produktiv abrufen ohne bestätigtes Mapping\n* keine FX-Werte setzen\n* keine weiteren Imports\n\nBericht nur aggregiert:\n\n* Instrumente total\n* Kandidaten gefunden\n* Kandidaten high/medium/low\n* Instrumente ohne Kandidat\n* Instrumente mit Hedge unknown\n* Instrumente mit Instrument-Status unknown\n* Mapping-Aktionen produktiv durchgeführt: nein, außer nur candidate creation\n* keine Preise/Werte/Mengen\n\n## 11. 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* Mapping-Kandidaten aggregiert\n* Data-Quality-Status aggregiert\n* nächste Empfehlung\n\nKeine echten Mengen, Preise, Werte, Kontostände oder sensitiven Inhalte im Chat."
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"reasoning_content": "**Considering finance skills**\n\nI need to act and check if the finance skill is loaded. It seems like it was available previously, but with the current changes, I'm unsure if it's still visible. It's important to ensure that it's ready to use if it's relevant for the task at hand. I think I should utilize the skill view to confirm its status before moving forward!",
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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, `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:\\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- 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.\\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- For valuation pilots on historical broker snapshots, treating a computable current market value as a clean performance result. `snapshot_only`, `cost_basis_uncertain`, missing hedge confirmation, missing historical FX, stale price/FX timestamp alignment, or suspected corporate actions must keep valuation `partially_valuable` or suppress precise Total Return until reviewed.\\n- Inferring CHF-hedged ETF behavior from the name alone. Hedge status is methodology-critical: unknown status should create a warning/review item; confirmed CHF hedging must prevent naive free FX-PnL attribution.\\n- Crashing or blocking on historical-FX provider paywalls. Persist `manual_override_required`, create deduplicated alerts, keep the flow moving, and require a noted audited manual override instead of guessing latest FX.\\n- Productive real-data imports can partially write before surfacing schema/importer compatibility issues. Do not rerun blindly or dump row-level data; inspect aggregate counts and unique identifiers needed for idempotency, patch/complete via missing-only inserts, then verify committed import session, audit log, Git clean and Git-safety OK.\\n- In controlled one-coin runtime tests from a real XLSX, distinguish **one coin/asset** from **one holding/wallet row**. A coin may be split across multiple wallet columns; if the user required an unambiguous target wallet or one holding, stop and ask rather than choosing a wallet silently. If the user explicitly approves multi-wallet import for that coin, import exactly one asset plus one audited holding per non-empty approved wallet cell; verify aggregate counts only. If re-running a BTC/single-coin test finds the exact approved asset and holdings already present, do not import duplicates; perform the aggregate-only idempotency checks and report that asset/holding counts did not increase because duplicate prevention succeeded. 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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from dataclasses import dataclass, field\\n 4|from sqlite3 import Connection\\n 5|\\n 6|from jarvis_finance.audit.log import record_audit_event\\n 7|from jarvis_finance.imports.common import stable_id, utc_now\\n 8|from jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality, resolve_instrument_alerts, update_instrument_metadata\\n 9|from jarvis_finance.quality.alerts import create_alert\\n 10|\\n 11|\\n 12|@dataclass\\n 13|class MappingQualityResult:\\n 14| instrument_id: str\\n 15| mapping_status: str\\n 16| quality_flags: list[str] = field(default_factory=list)\\n 17|\\n 18|\\n 19|def _instrument(conn: Connection, instrument_id: str):\\n 20| row = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (instrument_id,)).fetchone()\\n 21| if row is None:\\n 22| raise ValueError(f\\\"instrument not found: {instrument_id}\\\")\\n 23| return row\\n 24|\\n 25|\\n 26|def confirm_instrument_price_mapping(\\n 27| conn: Connection,\\n 28| *,\\n 29| instrument_id: str,\\n 30| provider: str,\\n 31| provider_symbol: str,\\n 32| provider_market: str | None,\\n 33| confidence: str,\\n 34| note: str,\\n 35| exchange: str | None = None,\\n 36| currency: str | None = None,\\n 37| hedge_status: str | None = None,\\n 38| hedged_to_currency: str | None = None,\\n 39| instrument_status: str | None = None,\\n 40| valuation_policy: str | None = None,\\n 41| base_exposure_currency: str | None = None,\\n 42| trading_currency: str | None = None,\\n 43| created_by: str = \\\"system\\\",\\n 44|) -> str:\\n 45| if not note.strip():\\n 46| raise ValueError(\\\"instrument price mapping confirmation requires a note\\\")\\n 47| if not provider_symbol.strip():\\n 48| raise ValueError(\\\"provider_symbol is required\\\")\\n 49| inst = _instrument(conn, instrument_id)\\n 50| now = utc_now()\\n 51| final_exchange = exchange if exchange is not None else inst[\\\"exchange\\\"]\\n 52| final_currency = (currency if currency is not None else inst[\\\"currency\\\"]) or inst[\\\"trading_currency\\\"]\\n 53| if any(v is not None for v in [hedge_status, hedged_to_currency, instrument_status, valuation_policy, base_exposure_currency, trading_currency, currency, exchange]):\\n 54| update_instrument_metadata(\\n 55| conn,\\n 56| instrument_id=instrument_id,\\n 57| hedge_status=hedge_status,\\n 58| hedged_to_currency=hedged_to_currency,\\n 59| instrument_status=instrument_status,\\n 60| valuation_policy=valuation_policy,\\n 61| base_exposure_currency=base_exposure_currency,\\n 62| trading_currency=trading_currency or final_currency,\\n 63| note=note,\\n 64| created_by=created_by,\\n 65| )\\n 66| inst = _instrument(conn, instrument_id)\\n 67| mapping_id = stable_id(\\\"ipm\\\", instrument_id, provider)\\n 68| conn.execute(\\n 69| \\\"\\\"\\\"\\n 70| INSERT INTO instrument_price_mappings(\\n 71| mapping_id, instrument_id, isin, ticker, exchange, currency, provider, provider_symbol,\\n 72| provider_market, mapping_status, confidence, notes, created_at, updated_at,\\n 73| hedge_status, is_currency_hedged, hedged_to_currency, instrument_status, valuation_policy,\\n 74| trading_currency, base_exposure_currency\\n 75| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, 'mapped', ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 76| ON CONFLICT(instrument_id, provider) DO UPDATE SET\\n 77| isin=excluded.isin, ticker=excluded.ticker, exchange=excluded.exchange, currency=excluded.currency,\\n 78| provider_symbol=excluded.provider_symbol, provider_market=excluded.provider_market,\\n 79| mapping_status='mapped', confidence=excluded.confidence, notes=excluded.notes, updated_at=excluded.updated_at,\\n 80| hedge_status=excluded.hedge_status, is_currency_hedged=excluded.is_currency_hedged,\\n 81| hedged_to_currency=excluded.hedged_to_currency, instrument_status=excluded.instrument_status,\\n 82| valuation_policy=excluded.valuation_policy, trading_currency=excluded.trading_currency,\\n 83| base_exposure_currency=excluded.base_exposure_currency\\n 84| \\\"\\\"\\\",\\n 85| (\\n 86| mapping_id, instrument_id, inst[\\\"isin\\\"], inst[\\\"ticker\\\"], final_exchange, final_currency,\\n 87| provider, provider_symbol, provider_market, confidence, note, now, now,\\n 88| inst[\\\"hedge_status\\\"], inst[\\\"is_currency_hedged\\\"], inst[\\\"hedged_to_currency\\\"],\\n 89| inst[\\\"instrument_status\\\"], inst[\\\"valuation_policy\\\"], inst[\\\"trading_currency\\\"] or final_currency,\\n 90| inst[\\\"base_exposure_currency\\\"],\\n 91| ),\\n 92| )\\n 93| record_audit_event(\\n 94| conn,\\n 95| source=\\\"instrument_price_mapping\\\",\\n 96| action=\\\"confirm_instrument_price_mapping\\\",\\n 97| entity_type=\\\"instrument_price_mapping\\\",\\n 98| entity_id=mapping_id,\\n 99| new_values={\\\"instrument_id\\\": instrument_id, \\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol, \\\"provider_market\\\": provider_market, \\\"hedge_status\\\": inst[\\\"hedge_status\\\"], \\\"instrument_status\\\": inst[\\\"instrument_status\\\"], \\\"valuation_policy\\\": inst[\\\"valuation_policy\\\"]},\\n 100| user_text_note=note,\\n 101| confirmed=True,\\n 102| created_by=created_by,\\n 103| )\\n 104| resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"missing_provider_symbol\\\", \\\"ambiguous_instrument_mapping\\\"])\\n 105| ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)\\n 106| conn.commit()\\n 107| return mapping_id\\n 108|\\n 109|\\n 110|def ensure_instrument_price_mapping_quality(conn: Connection, *, instrument_id: str, provider: str = \\\"mock\\\") -> MappingQualityResult:\\n 111| inst = _instrument(conn, instrument_id)\\n 112| ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)\\n 113| existing = conn.execute(\\\"SELECT * FROM instrument_price_mappings WHERE instrument_id=? AND provider=?\\\", (instrument_id, provider)).fetchone()\\n 114| flags: list[str] = []\\n 115| status = existing[\\\"mapping_status\\\"] if existing else \\\"needs_manual_review\\\"\\n 116| if existing and existing[\\\"provider_symbol\\\"] and existing[\\\"mapping_status\\\"] == \\\"mapped\\\":\\n 117| return MappingQualityResult(instrument_id=instrument_id, mapping_status=\\\"mapped\\\", quality_flags=[])\\n 118| if not inst[\\\"provider_symbol\\\"]:\\n 119| status = \\\"missing_provider_symbol\\\"\\n 120| flags.append(\\\"missing_provider_symbol\\\")\\n 121| create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"Instrument has no provider symbol for local market-price updates.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"], \\\"ticker\\\": inst[\\\"ticker\\\"], \\\"provider\\\": provider}, fingerprint=f\\\"missing_provider_symbol:{provider}\\\")\\n 122| if inst[\\\"ticker\\\"] and not inst[\\\"exchange\\\"]:\\n 123| flags.append(\\\"ticker_without_exchange\\\")\\n 124| create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"ambiguous_instrument_mapping\\\", message=\\\"Instrument ticker has no exchange; market-data mapping needs manual review.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"], \\\"ticker\\\": inst[\\\"ticker\\\"], \\\"provider\\\": provider}, fingerprint=f\\\"ambiguous_instrument_mapping:{provider}\\\")\\n 125| if status == \\\"needs_manual_review\\\":\\n 126| status = \\\"ambiguous\\\"\\n 127| now = utc_now()\\n 128| mapping_id = stable_id(\\\"ipm\\\", instrument_id, provider)\\n 129| conn.execute(\\n 130| \\\"\\\"\\\"\\n 131| INSERT INTO instrument_price_mappings(\\n 132| mapping_id, instrument_id, isin, ticker, exchange, currency, provider, provider_symbol,\\n 133| provider_market, mapping_status, confidence, notes, created_at, updated_at,\\n 134| hedge_status, is_currency_hedged, hedged_to_currency, instrument_status, valuation_policy,\\n 135| trading_currency, base_exposure_currency\\n 136| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, '0', ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 137| ON CONFLICT(instrument_id, provider) DO UPDATE SET\\n 138| mapping_status=excluded.mapping_status, updated_at=excluded.updated_at,\\n 139| hedge_status=excluded.hedge_status, is_currency_hedged=excluded.is_currency_hedged,\\n 140| hedged_to_currency=excluded.hedged_to_currency, instrument_status=excluded.instrument_status,\\n 141| valuation_policy=excluded.valuation_policy, trading_currency=excluded.trading_currency,\\n 142| base_exposure_currency=excluded.base_exposure_currency\\n 143| \\\"\\\"\\\",\\n 144| (mapping_id, instrument_id, inst[\\\"isin\\\"], inst[\\\"ticker\\\"], inst[\\\"exchange\\\"], inst[\\\"currency\\\"], provider, inst[\\\"provider_symbol\\\"], inst[\\\"exchange\\\"], status, \\\",\\\".join(flags), now, now, inst[\\\"hedge_status\\\"], inst[\\\"is_currency_hedged\\\"], inst[\\\"hedged_to_currency\\\"], inst[\\\"instrument_status\\\"], inst[\\\"valuation_policy\\\"], inst[\\\"trading_currency\\\"], inst[\\\"base_exposure_currency\\\"]),\\n 145| )\\n 146| conn.commit()\\n 147| return MappingQualityResult(instrument_id=instrument_id, mapping_status=status, quality_flags=flags)\\n 148|\", \"total_lines\": 147, \"file_size\": 8530, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_a7ezyTN2tQLJDAJshLenJS5d"
},
{
"role": "tool",
"name": "read_file",
"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.dashboard import data\\n 4|from jarvis_finance.dashboard.components.tables import show_table\\n 5|from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, get_equity_management_options\\n 6|\\n 7|PAGE_TITLE = \\\"Equity/ETF Manage\\\"\\n 8|\\n 9|\\n 10|def _account_label(row: dict[str, str]) -> str:\\n 11| return f\\\"{row['platform_name']} / {row['account_name']} [{row['currency']} ]\\\"\\n 12|\\n 13|\\n 14|def _instrument_label(row: dict[str, str]) -> str:\\n 15| suffix = row.get(\\\"isin\\\") or row.get(\\\"ticker\\\") or row[\\\"instrument_id\\\"]\\n 16| return f\\\"{row['name']} ({suffix})\\\"\\n 17|\\n 18|\\n 19|def _selected(rows: list[dict[str, str]], label: str | None, label_fn) -> dict[str, str] | None:\\n 20| if not label:\\n 21| return None\\n 22| for row in rows:\\n 23| if label_fn(row) == label:\\n 24| return row\\n 25| return None\\n 26|\\n 27|\\n 28|def render(st, conn) -> None:\\n 29| st.title(\\\"Equity/ETF Manage\\\")\\n 30| st.caption(\\\"Auditierbare manuelle Aktien-/ETF-Erfassung. Dashboard liest lokal; keine Broker-Dateien oder Live-APIs beim Rendern.\\\")\\n 31| st.warning(\\\"Keine stillen Überschreibungen: Initial Snapshots, Transaktionen und Korrekturen werden als bestätigte Ledger-Ereignisse mit Audit-Log gespeichert.\\\")\\n 32|\\n 33| options = get_equity_management_options(conn)\\n 34| account_labels = [_account_label(row) for row in options[\\\"accounts\\\"]]\\n 35| instrument_labels = [_instrument_label(row) for row in options[\\\"instruments\\\"]]\\n 36| tabs = st.tabs([\\\"Hinzufügen\\\", \\\"Kaufen\\\", \\\"Partial Sell\\\", \\\"Full Sell\\\", \\\"Dividende\\\", \\\"ETF-Ausschüttung\\\", \\\"Fee\\\", \\\"Korrigieren\\\", \\\"Review\\\"])\\n 37|\\n 38| with tabs[0]:\\n 39| st.subheader(\\\"Aktie/ETF als Initial Snapshot hinzufügen\\\")\\n 40| account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=\\\"equity_add_account\\\") if account_labels else None\\n 41| asset_class = st.selectbox(\\\"Assetklasse\\\", [\\\"stock\\\", \\\"ETF\\\"], key=\\\"equity_add_class\\\")\\n 42| name = st.text_input(\\\"Name\\\", key=\\\"equity_add_name\\\")\\n 43| isin = st.text_input(\\\"ISIN (primäre Identifikation)\\\", key=\\\"equity_add_isin\\\")\\n 44| ticker = st.text_input(\\\"Ticker optional\\\", key=\\\"equity_add_ticker\\\")\\n 45| exchange = st.text_input(\\\"Exchange optional\\\", key=\\\"equity_add_exchange\\\")\\n 46| currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=\\\"equity_add_currency\\\")\\n 47| quantity = st.text_input(\\\"Menge als Decimal-Text\\\", key=\\\"equity_add_qty\\\")\\n 48| cost_basis = st.text_input(\\\"Einstandspreis / Cost Basis Originalwährung\\\", key=\\\"equity_add_cost\\\")\\n 49| fx_rate = st.text_input(\\\"FX-Kurs zu CHF (bei EUR/USD)\\\", key=\\\"equity_add_fx\\\")\\n 50| fx_source = st.text_input(\\\"FX-Quelle\\\", key=\\\"equity_add_fx_source\\\")\\n 51| fx_status = st.selectbox(\\\"FX-Status\\\", [\\\"ok\\\", \\\"missing\\\"], key=\\\"equity_add_fx_status\\\")\\n 52| snapshot_date = st.date_input(\\\"Snapshot-Datum\\\", key=\\\"equity_add_date\\\")\\n 53| category = st.selectbox(\\\"Kategorie\\\", [\\\"Core\\\", \\\"Opportunity\\\", \\\"Unknown\\\"], key=\\\"equity_add_category\\\")\\n 54| note = st.text_area(\\\"Notiz (Pflicht bei unvollständiger Historie)\\\", key=\\\"equity_add_note\\\")\\n 55| with st.expander(\\\"ETF-spezifische Felder\\\"):\\n 56| ter = st.text_input(\\\"TER optional\\\", key=\\\"equity_add_ter\\\")\\n 57| distribution_policy = st.text_input(\\\"ausschüttend/thesaurierend optional\\\", key=\\\"equity_add_distribution\\\")\\n 58| index_name = st.text_input(\\\"Index optional\\\", key=\\\"equity_add_index\\\")\\n 59| fund_domicile = st.text_input(\\\"Fondsdomizil optional\\\", key=\\\"equity_add_domicile\\\")\\n 60| benchmark = st.text_input(\\\"Benchmark optional\\\", key=\\\"equity_add_benchmark\\\")\\n 61| confirm = st.checkbox(\\\"Ich bestätige diese einzelne Änderung\\\", key=\\\"equity_add_confirm\\\")\\n 62| selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n 63| st.write({\\\"Aktion\\\": \\\"initial_position_snapshot\\\", \\\"Name\\\": name, \\\"ISIN\\\": isin or \\\"\\\", \\\"Ticker\\\": ticker or \\\"\\\", \\\"Währung\\\": currency, \\\"Datum\\\": str(snapshot_date), \\\"Hinweis\\\": \\\"Keine Massenänderung; Speicherung erst nach Bestätigung.\\\"})\\n 64| if st.button(\\\"Bestätigt speichern\\\", key=\\\"equity_add_save\\\", type=\\\"primary\\\"):\\n 65| try:\\n 66| if not selected_account:\\n 67| raise ValueError(\\\"account is required\\\")\\n 68| result = add_equity_initial_snapshot(\\n 69| conn,\\n 70| account_id=selected_account[\\\"account_id\\\"],\\n 71| asset_class=asset_class,\\n 72| name=name,\\n 73| isin=isin,\\n 74| ticker=ticker,\\n 75| exchange=exchange,\\n 76| currency=currency,\\n 77| quantity_text=quantity,\\n 78| cost_basis_original_text=cost_basis,\\n 79| snapshot_date=str(snapshot_date),\\n 80| category=category,\\n 81| note=note,\\n 82| fx_rate_to_chf_text=fx_rate or None,\\n 83| fx_source=fx_source or None,\\n 84| fx_status=fx_status,\\n 85| ter_text=ter or None,\\n 86| distribution_policy=distribution_policy or None,\\n 87| index_name=index_name or None,\\n 88| fund_domicile=fund_domicile or None,\\n 89| benchmark=benchmark or None,\\n 90| confirm=bool(confirm),\\n 91| )\\n 92| st.success(\\\"Initial Snapshot gespeichert und auditierbar erfasst.\\\")\\n 93| st.write({\\\"instrument_id\\\": result.instrument_id, \\\"transaction_id\\\": result.transaction_id, \\\"warnings\\\": result.warnings})\\n 94| except Exception as exc:\\n 95| st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n 96|\\n 97| def transaction_form(tab, title: str, tx_type: str) -> None:\\n 98| with tab:\\n 99| st.subheader(title)\\n 100| account_label = st.selectbox(\\\"Depot/Konto\\\", account_labels, key=f\\\"equity_{tx_type}_account\\\") if account_labels else None\\n 101| instrument_label = st.selectbox(\\\"Instrument\\\", instrument_labels, key=f\\\"equity_{tx_type}_instrument\\\") if instrument_labels else None\\n 102| date_value = st.date_input(\\\"Datum\\\", key=f\\\"equity_{tx_type}_date\\\")\\n 103| qty_default = \\\"0\\\" if tx_type in {\\\"dividend\\\", \\\"etf_distribution\\\", \\\"fee\\\"} else \\\"\\\"\\n 104| quantity = st.text_input(\\\"Menge als Decimal-Text\\\", value=qty_default, key=f\\\"equity_{tx_type}_qty\\\")\\n 105| gross = st.text_input(\\\"Brutto/Cost/Proceeds Originalwährung\\\", key=f\\\"equity_{tx_type}_gross\\\")\\n 106| currency = st.selectbox(\\\"Währung\\\", [\\\"CHF\\\", \\\"EUR\\\", \\\"USD\\\"], key=f\\\"equity_{tx_type}_currency\\\")\\n 107| fx_rate = st.text_input(\\\"FX-Kurs zu CHF (bei EUR/USD)\\\", key=f\\\"equity_{tx_type}_fx\\\")\\n 108| fx_source = st.text_input(\\\"FX-Quelle\\\", key=f\\\"equity_{tx_type}_fx_source\\\")\\n 109| fx_status = st.selectbox(\\\"FX-Status\\\", [\\\"ok\\\", \\\"missing\\\"], key=f\\\"equity_{tx_type}_fx_status\\\")\\n 110| note = st.text_area(\\\"Notiz / Grund\\\", key=f\\\"equity_{tx_type}_note\\\")\\n 111| confirm = st.checkbox(\\\"Ich bestätige diese Änderung\\\", key=f\\\"equity_{tx_type}_confirm\\\")\\n 112| selected_account = _selected(options[\\\"accounts\\\"], account_label, _account_label)\\n 113| selected_instrument = _selected(options[\\\"instruments\\\"], instrument_label, _instrument_label)\\n 114| st.write({\\\"Aktion\\\": tx_type, \\\"Instrument\\\": instrument_label, \\\"Datum\\\": str(date_value), \\\"FX-Status\\\": fx_status})\\n 115| if st.button(\\\"Bestätigt speichern\\\", key=f\\\"equity_{tx_type}_save\\\"):\\n 116| try:\\n 117| if not selected_account or not selected_instrument:\\n 118| raise ValueError(\\\"account and instrument are required\\\")\\n 119| result = add_equity_transaction(\\n 120| conn,\\n 121| account_id=selected_account[\\\"account_id\\\"],\\n 122| instrument_id=selected_instrument[\\\"instrument_id\\\"],\\n 123| transaction_type=tx_type,\\n 124| trade_date=str(date_value),\\n 125| quantity_text=quantity,\\n 126| gross_amount_original_text=gross,\\n 127| currency=currency,\\n 128| fx_rate_to_chf_text=fx_rate or None,\\n 129| fx_source=fx_source or None,\\n 130| fx_status=fx_status,\\n 131| note=note,\\n 132| confirm=bool(confirm),\\n 133| )\\n 134| st.success(\\\"Transaktion gespeichert und auditierbar erfasst.\\\")\\n 135| st.write({\\\"transaction_id\\\": result.transaction_id, \\\"warnings\\\": result.warnings})\\n 136| except Exception as exc:\\n 137| st.error(f\\\"Speichern abgelehnt: {exc}\\\")\\n 138|\\n 139| transaction_form(tabs[1], \\\"Kauf erfassen\\\", \\\"buy\\\")\\n 140| transaction_form(tabs[2], \\\"Teilverkauf erfassen\\\", \\\"partial_sell\\\")\\n 141| transaction_form(tabs[3], \\\"Vollverkauf erfassen\\\", \\\"full_sell\\\")\\n 142| transaction_form(tabs[4], \\\"Dividende erfassen\\\", \\\"dividend\\\")\\n 143| transaction_form(tabs[5], \\\"ETF-Ausschüttung erfassen\\\", \\\"etf_distribution\\\")\\n 144| transaction_form(tabs[6], \\\"Fee erfassen\\\", \\\"fee\\\")\\n 145| transaction_form(tabs[7], \\\"Korrektur als manual_adjustment\\\", \\\"manual_adjustment\\\")\\n 146|\\n 147| with tabs[8]:\\n 148| st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n 149| show_table(st, data.get_positions(conn))\\n 150|\", \"total_lines\": 149, \"file_size\": 9049, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_DdSIs5ZAR7d4BlXu0vShER5q"
},
{
"role": "tool",
"name": "read_file",
"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.dashboard import data\\n 4|from jarvis_finance.dashboard.components.tables import show_table\\n 5|\\n 6|PAGE_TITLE = \\\"Data Quality Center\\\"\\n 7|\\n 8|\\n 9|def render(st, conn) -> None:\\n 10| st.title(\\\"Data Quality Center\\\")\\n 11| st.caption(\\\"Alerts, Preise, FX, ISIN, Parser-/Review-Flags, Readiness und Safe-Mode-Prüfungen.\\\")\\n 12| st.subheader(\\\"Data Quality Checks\\\")\\n 13| show_table(st, data.get_data_quality(conn))\\n 14| st.subheader(\\\"Review Items nach Quality Flag\\\")\\n 15| show_table(st, data.get_review_quality_flag_counts(conn))\\n 16| st.subheader(\\\"Import Readiness\\\")\\n 17| show_table(st, data.get_review_readiness_counts(conn))\\n 18| st.subheader(\\\"Ready for Import je Quelle\\\")\\n 19| show_table(st, data.get_ready_for_import_by_source(conn))\\n 20| st.subheader(\\\"Alerts\\\")\\n 21| show_table(st, data.get_alerts(conn))\\n 22| st.subheader(\\\"Sichere Aktionen\\\")\\n 23| st.button(\\\"Data Quality Recheck\\\", disabled=True)\\n 24| st.button(\\\"Resolve Fixed Alerts\\\", disabled=True)\\n 25| st.button(\\\"Instrument Price Mapping öffnen\\\", disabled=True)\\n 26| st.button(\\\"FX Override / FX Provider öffnen\\\", disabled=True)\\n 27| st.button(\\\"Instrument Status Review öffnen\\\", disabled=True)\\n 28| st.button(\\\"Hedge Status Review öffnen\\\", disabled=True)\\n 29| st.button(\\\"Manual Review Queue öffnen\\\", disabled=True)\\n 30| st.button(\\\"Review Items aktualisieren\\\", disabled=True)\\n 31| st.button(\\\"Produktiven Import starten\\\", disabled=True)\\n 32| st.info(\\\"Links zur Review Queue und zum Instrument Price Mapping sind vorbereitet; produktive Commit-Aktionen bleiben deaktiviert.\\\")\\n 33|\", \"total_lines\": 32, \"file_size\": 1539, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_Ra3kwlIwvTpJixzgLu4sOgn1"
},
{
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"content": "",
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"finish_reason": "tool_calls",
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import hashlib\\n 4|from datetime import datetime, timezone\\n 5|from sqlite3 import Connection\\n 6|\\n 7|from .schema import INITIAL_SCHEMA_SQL\\n 8|\\n 9|MIGRATION_VERSION = 10\\n 10|MIGRATION_NAME = \\\"010_true_wealth_valuation_pilot\\\"\\n 11|\\n 12|INSTRUMENT_OPTIONAL_COLUMNS = {\\n 13| \\\"position_category\\\": \\\"TEXT\\\",\\n 14| \\\"ter\\\": \\\"TEXT\\\",\\n 15| \\\"distribution_policy\\\": \\\"TEXT\\\",\\n 16| \\\"index_name\\\": \\\"TEXT\\\",\\n 17| \\\"fund_domicile\\\": \\\"TEXT\\\",\\n 18| \\\"benchmark\\\": \\\"TEXT\\\",\\n 19| \\\"is_currency_hedged\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 20| \\\"hedged_to_currency\\\": \\\"TEXT\\\",\\n 21| \\\"hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 22| \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n 23| \\\"trading_currency\\\": \\\"TEXT\\\",\\n 24| \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 25| \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n 26| \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n 27| \\\"split_or_corporate_action_review_required\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 28|}\\n 29|\\n 30|TEXT_AFFINITY_COLUMNS = {\\n 31| \\\"transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_original\\\", \\\"tax_original\\\", \\\"net_amount_original\\\", \\\"fx_rate_to_chf\\\", \\\"gross_amount_chf\\\", \\\"fee_chf\\\", \\\"tax_chf\\\", \\\"net_amount_chf\\\"},\\n 32| \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n 33| \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n 34| \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n 35| \\\"fx_rates\\\": {\\\"rate\\\"},\\n 36| \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\\n 37|}\\n 38|\\n 39|\\n 40|def utc_now() -> str:\\n 41| return datetime.now(timezone.utc).isoformat()\\n 42|\\n 43|\\n 44|def checksum_sql(sql: str) -> str:\\n 45| return hashlib.sha256(sql.encode(\\\"utf-8\\\")).hexdigest()\\n 46|\\n 47|\\n 48|def get_schema_version(conn: Connection) -> int:\\n 49| row = conn.execute(\\\"SELECT MAX(version) AS version FROM schema_migrations\\\").fetchone()\\n 50| return int(row[\\\"version\\\"] or 0) if row else 0\\n 51|\\n 52|\\n 53|def _table_columns(conn: Connection, table: str) -> dict[str, str]:\\n 54| return {row[\\\"name\\\"]: (row[\\\"type\\\"] or \\\"\\\") for row in conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()}\\n 55|\\n 56|\\n 57|def _add_missing_instrument_columns(conn: Connection) -> None:\\n 58| existing = _table_columns(conn, \\\"instruments\\\")\\n 59| for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():\\n 60| if name not in existing:\\n 61| conn.execute(f\\\"ALTER TABLE instruments ADD COLUMN {name} {col_type}\\\")\\n 62|\\n 63|\\n 64|def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:\\n 65| cols = conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()\\n 66| if not cols:\\n 67| return\\n 68| needs_rebuild = any(row[\\\"name\\\"] in text_columns and (row[\\\"type\\\"] or \\\"\\\").upper() != \\\"TEXT\\\" for row in cols)\\n 69| if not needs_rebuild:\\n 70| return\\n 71| tmp = f\\\"{table}__text_migration\\\"\\n 72| col_defs: list[str] = []\\n 73| pk_cols = [row[\\\"name\\\"] for row in cols if row[\\\"pk\\\"]]\\n 74| for row in cols:\\n 75| name = row[\\\"name\\\"]\\n 76| col_type = \\\"TEXT\\\" if name in text_columns else (row[\\\"type\\\"] or \\\"TEXT\\\")\\n 77| parts = [name, col_type]\\n 78| if row[\\\"pk\\\"] and len(pk_cols) == 1:\\n 79| parts.append(\\\"PRIMARY KEY\\\")\\n 80| if row[\\\"notnull\\\"]:\\n 81| parts.append(\\\"NOT NULL\\\")\\n 82| if row[\\\"dflt_value\\\"] is not None:\\n 83| parts.append(f\\\"DEFAULT {row['dflt_value']}\\\")\\n 84| col_defs.append(\\\" \\\".join(parts))\\n 85| if len(pk_cols) > 1:\\n 86| col_defs.append(\\\"PRIMARY KEY (\\\" + \\\", \\\".join(pk_cols) + \\\")\\\")\\n 87| conn.execute(f\\\"DROP TABLE IF EXISTS {tmp}\\\")\\n 88| conn.execute(f\\\"CREATE TABLE {tmp} (\\\" + \\\", \\\".join(col_defs) + \\\")\\\")\\n 89| names = [row[\\\"name\\\"] for row in cols]\\n 90| select_exprs = [f\\\"CAST({name} AS TEXT)\\\" if name in text_columns else name for name in names]\\n 91| conn.execute(f\\\"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}\\\")\\n 92| conn.execute(f\\\"DROP TABLE {table}\\\")\\n 93| conn.execute(f\\\"ALTER TABLE {tmp} RENAME TO {table}\\\")\\n 94| if table == \\\"crypto_holdings\\\":\\n 95| conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n 96|\\n 97|\\n 98|def _add_missing_columns(conn: Connection, table: str, columns: dict[str, str]) -> None:\\n 99| existing = _table_columns(conn, table)\\n 100| for name, col_type in columns.items():\\n 101| if name not in existing:\\n 102| conn.execute(f\\\"ALTER TABLE {table} ADD COLUMN {name} {col_type}\\\")\\n 103|\\n 104|\\n 105|def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n 106| conn.executescript(\\n 107| \\\"\\\"\\\"\\n 108| CREATE TABLE IF NOT EXISTS instrument_mappings (\\n 109| mapping_id TEXT PRIMARY KEY,\\n 110| source_name TEXT,\\n 111| source_platform TEXT NOT NULL,\\n 112| source_account TEXT,\\n 113| source_label TEXT NOT NULL,\\n 114| normalized_name TEXT NOT NULL,\\n 115| isin TEXT,\\n 116| ticker TEXT,\\n 117| exchange TEXT,\\n 118| currency TEXT,\\n 119| asset_class TEXT NOT NULL DEFAULT 'other',\\n 120| source_instrument_name TEXT,\\n 121| source_isin TEXT,\\n 122| source_ticker TEXT,\\n 123| source_exchange TEXT,\\n 124| source_currency TEXT,\\n 125| instrument_id TEXT REFERENCES instruments(instrument_id),\\n 126| mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 127| confidence TEXT NOT NULL DEFAULT '0',\\n 128| quality_flags_json TEXT,\\n 129| notes TEXT,\\n 130| created_at TEXT NOT NULL,\\n 131| updated_at TEXT\\n 132| );\\n 133|\\n 134| CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n 135| mapping_id TEXT PRIMARY KEY,\\n 136| source_name TEXT,\\n 137| source_platform TEXT NOT NULL,\\n 138| source_platform_label TEXT,\\n 139| source_account_label TEXT NOT NULL,\\n 140| normalized_platform TEXT NOT NULL,\\n 141| normalized_account_name TEXT NOT NULL,\\n 142| source_account_type TEXT,\\n 143| account_type TEXT NOT NULL DEFAULT 'other',\\n 144| source_currency TEXT,\\n 145| currency TEXT,\\n 146| platform_id TEXT REFERENCES platforms(platform_id),\\n 147| account_id TEXT REFERENCES accounts(account_id),\\n 148| internal_platform_id TEXT REFERENCES platforms(platform_id),\\n 149| internal_account_id TEXT REFERENCES accounts(account_id),\\n 150| mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 151| quality_flags_json TEXT,\\n 152| notes TEXT,\\n 153| created_at TEXT NOT NULL,\\n 154| updated_at TEXT\\n 155| );\\n 156|\\n 157| CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n 158| dry_run_id TEXT PRIMARY KEY,\\n 159| source_name TEXT,\\n 160| source_platform TEXT NOT NULL,\\n 161| source_file_label TEXT,\\n 162| source_file_type TEXT NOT NULL,\\n 163| source_hash TEXT,\\n 164| source_filename_hash TEXT,\\n 165| detected_snapshot_date TEXT,\\n 166| snapshot_date_status TEXT NOT NULL DEFAULT 'missing',\\n 167| detected_sections_json TEXT NOT NULL,\\n 168| field_coverage_json TEXT,\\n 169| rows_total INTEGER NOT NULL DEFAULT 0,\\n 170| rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n 171| rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n 172| candidate_positions INTEGER NOT NULL DEFAULT 0,\\n 173| candidate_cash_rows INTEGER NOT NULL DEFAULT 0,\\n 174| mapped_positions INTEGER NOT NULL DEFAULT 0,\\n 175| blocked_positions INTEGER NOT NULL DEFAULT 0,\\n 176| warnings_count INTEGER NOT NULL DEFAULT 0,\\n 177| errors_count INTEGER NOT NULL DEFAULT 0,\\n 178| quality_flags_json TEXT NOT NULL,\\n 179| summary_json TEXT NOT NULL DEFAULT '{}',\\n 180| created_at TEXT NOT NULL,\\n 181| notes TEXT\\n 182| );\\n 183| \\\"\\\"\\\"\\n 184| )\\n 185| _add_missing_columns(conn, \\\"instrument_mappings\\\", {\\n 186| \\\"source_name\\\": \\\"TEXT\\\",\\n 187| \\\"source_platform\\\": \\\"TEXT\\\",\\n 188| \\\"source_account\\\": \\\"TEXT\\\",\\n 189| \\\"source_label\\\": \\\"TEXT\\\",\\n 190| \\\"normalized_name\\\": \\\"TEXT\\\",\\n 191| \\\"isin\\\": \\\"TEXT\\\",\\n 192| \\\"ticker\\\": \\\"TEXT\\\",\\n 193| \\\"exchange\\\": \\\"TEXT\\\",\\n 194| \\\"currency\\\": \\\"TEXT\\\",\\n 195| \\\"asset_class\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 196| \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\n 197| })\\n 198| _add_missing_columns(conn, \\\"platform_account_mappings\\\", {\\n 199| \\\"source_platform\\\": \\\"TEXT\\\",\\n 200| \\\"normalized_platform\\\": \\\"TEXT\\\",\\n 201| \\\"normalized_account_name\\\": \\\"TEXT\\\",\\n 202| \\\"account_type\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 203| \\\"currency\\\": \\\"TEXT\\\",\\n 204| \\\"internal_platform_id\\\": \\\"TEXT\\\",\\n 205| \\\"internal_account_id\\\": \\\"TEXT\\\",\\n 206| })\\n 207| _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\n 208| \\\"source_platform\\\": \\\"TEXT\\\",\\n 209| \\\"source_filename_hash\\\": \\\"TEXT\\\",\\n 210| \\\"detected_snapshot_date\\\": \\\"TEXT\\\",\\n 211| \\\"snapshot_date_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n 212| \\\"candidate_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 213| \\\"candidate_cash_rows\\\": \\\"INTEGER DEFAULT 0\\\",\\n 214| \\\"mapped_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 215| \\\"blocked_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 216| \\\"warnings_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n 217| \\\"errors_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n 218| \\\"summary_json\\\": \\\"TEXT DEFAULT '{}'\\\",\\n 219| \\\"session_status\\\": \\\"TEXT DEFAULT 'active'\\\",\\n 220| \\\"is_current\\\": \\\"INTEGER DEFAULT 0\\\",\\n 221| \\\"archived_at\\\": \\\"TEXT\\\",\\n 222| \\\"discarded_at\\\": \\\"TEXT\\\",\\n 223| })\\n 224|\\n 225|\\n 226|def _create_broker_import_review_items(conn: Connection) -> None:\\n 227| conn.executescript(\\n 228| \\\"\\\"\\\"\\n 229| CREATE TABLE IF NOT EXISTS broker_import_review_items (\\n 230| review_item_id TEXT PRIMARY KEY,\\n 231| dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n 232| source_platform TEXT NOT NULL,\\n 233| source_file_type TEXT NOT NULL,\\n 234| source_row_ref TEXT NOT NULL,\\n 235| row_hash TEXT NOT NULL,\\n 236| source_label TEXT,\\n 237| normalized_name TEXT,\\n 238| detected_asset_class TEXT,\\n 239| detected_currency TEXT,\\n 240| detected_quantity_present INTEGER NOT NULL DEFAULT 0,\\n 241| detected_market_value_present INTEGER NOT NULL DEFAULT 0,\\n 242| isin TEXT,\\n 243| ticker TEXT,\\n 244| exchange TEXT,\\n 245| mapped_instrument_id TEXT REFERENCES instruments(instrument_id),\\n 246| mapped_account_id TEXT REFERENCES accounts(account_id),\\n 247| quality_flags_json TEXT NOT NULL,\\n 248| review_status TEXT NOT NULL DEFAULT 'open',\\n 249| reviewer_note TEXT,\\n 250| created_at TEXT NOT NULL,\\n 251| updated_at TEXT\\n 252| );\\n 253| CREATE INDEX IF NOT EXISTS idx_broker_review_items_dry_run ON broker_import_review_items(dry_run_id);\\n 254| CREATE INDEX IF NOT EXISTS idx_broker_review_items_status ON broker_import_review_items(review_status);\\n 255| \\\"\\\"\\\"\\n 256| )\\n 257| _add_missing_columns(conn, \\\"broker_import_review_items\\\", {\\n 258| \\\"import_readiness_status\\\": \\\"TEXT DEFAULT 'not_ready'\\\",\\n 259| \\\"reviewer_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 260| \\\"snapshot_date_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 261| \\\"ticker_exchange_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 262| \\\"account_mapping_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n 263| })\\n 264|\\n 265|def _create_broker_import_execution_plans(conn: Connection) -> None:\\n 266| conn.executescript(\\n 267| \\\"\\\"\\\"\\n 268| CREATE TABLE IF NOT EXISTS broker_import_execution_plans (\\n 269| execution_plan_id TEXT PRIMARY KEY,\\n 270| dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n 271| review_item_id TEXT NOT NULL REFERENCES broker_import_review_items(review_item_id),\\n 272| source_platform TEXT NOT NULL,\\n 273| target_account_id TEXT NOT NULL REFERENCES accounts(account_id),\\n 274| target_instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n 275| transaction_type TEXT NOT NULL DEFAULT 'initial_position_snapshot',\\n 276| snapshot_date TEXT,\\n 277| payload_status TEXT NOT NULL,\\n 278| payload_quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n 279| source_row_hash TEXT NOT NULL,\\n 280| planned_write_summary_json TEXT NOT NULL DEFAULT '{}',\\n 281| execution_status TEXT NOT NULL DEFAULT 'planned',\\n 282| transaction_id TEXT REFERENCES transactions(transaction_id),\\n 283| created_at TEXT NOT NULL,\\n 284| updated_at TEXT,\\n 285| executed_at TEXT,\\n 286| notes TEXT\\n 287| );\\n 288| CREATE UNIQUE INDEX IF NOT EXISTS idx_broker_execution_plan_review_item ON broker_import_execution_plans(review_item_id);\\n 289| CREATE UNIQUE INDEX IF NOT EXISTS idx_broker_execution_plan_source_hash ON broker_import_execution_plans(source_row_hash, target_account_id, target_instrument_id, transaction_type);\\n 290| \\\"\\\"\\\"\\n 291| )\\n 292|\\n 293|def _add_transaction_void_columns(conn: Connection) -> None:\\n 294| _add_missing_columns(conn, \\\"transactions\\\", {\\n 295| \\\"is_voided\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 296| \\\"voided_at\\\": \\\"TEXT\\\",\\n 297| \\\"void_reason\\\": \\\"TEXT\\\",\\n 298| \\\"voided_by\\\": \\\"TEXT\\\",\\n 299| \\\"correction_of_transaction_id\\\": \\\"TEXT REFERENCES transactions(transaction_id)\\\",\\n 300| \\\"correction_reason\\\": \\\"TEXT\\\",\\n 301| })\\n 302| conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_voided ON transactions(is_voided)\\\")\\n 303| conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_correction_of ON transactions(correction_of_transaction_id)\\\")\\n 304|\\n 305|\\n 306|def _create_fx_market_data_tables(conn: Connection) -> None:\\n 307| conn.executescript(\\n 308| \\\"\\\"\\\"\\n 309| CREATE TABLE IF NOT EXISTS instrument_price_mappings (\\n 310| mapping_id TEXT PRIMARY KEY,\\n 311| instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n 312| isin TEXT,\\n 313| ticker TEXT,\\n 314| exchange TEXT,\\n 315| currency TEXT,\\n 316| provider TEXT NOT NULL,\\n 317| provider_symbol TEXT,\\n 318| provider_market TEXT,\\n 319| mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 320| confidence TEXT,\\n 321| notes TEXT,\\n 322| created_at TEXT NOT NULL,\\n 323| updated_at TEXT,\\n 324| UNIQUE(instrument_id, provider)\\n 325| );\\n 326| CREATE INDEX IF NOT EXISTS idx_instrument_price_mappings_status ON instrument_price_mappings(mapping_status);\\n 327| CREATE INDEX IF NOT EXISTS idx_instrument_price_mappings_provider_symbol ON instrument_price_mappings(provider, provider_symbol);\\n 328| \\\"\\\"\\\"\\n 329| )\\n 330| _add_missing_columns(conn, \\\"market_prices\\\", {\\n 331| \\\"provider_market\\\": \\\"TEXT\\\",\\n 332| \\\"error_message\\\": \\\"TEXT\\\",\\n 333| \\\"corporate_action_status\\\": \\\"TEXT NOT NULL DEFAULT 'not_checked'\\\",\\n 334| })\\n 335| _add_missing_columns(conn, \\\"fx_rates\\\", {\\n 336| \\\"error_status\\\": \\\"TEXT\\\",\\n 337| \\\"error_message\\\": \\\"TEXT\\\",\\n 338| })\\n 339| _add_missing_columns(conn, \\\"instrument_price_mappings\\\", {\\n 340| \\\"hedge_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 341| \\\"is_currency_hedged\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 342| \\\"hedged_to_currency\\\": \\\"TEXT\\\",\\n 343| \\\"instrument_status\\\": \\\"TEXT NOT NULL DEFAULT 'unknown'\\\",\\n 344| \\\"valuation_policy\\\": \\\"TEXT NOT NULL DEFAULT 'live_price'\\\",\\n 345| \\\"trading_currency\\\": \\\"TEXT\\\",\\n 346| \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n 347| })\\n 348| conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)\\\")\\n 349| conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)\\\")\\n 350| conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_fx_rates_unique_provider_date ON fx_rates(base_currency, quote_currency, rate_date, provider, rate_type)\\\")\\n 351| conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\\n 352|\\n 353|\\n 354|def _apply_compat_migrations(conn: Connection) -> None:\\n 355| _add_missing_instrument_columns(conn)\\n 356| for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n 357| _rebuild_table_with_text_columns(conn, table, text_columns)\\n 358| _create_broker_bank_mapping_tables(conn)\\n 359| _create_broker_import_review_items(conn)\\n 360| _create_broker_import_execution_plans(conn)\\n 361| _add_transaction_void_columns(conn)\\n 362| _create_fx_market_data_tables(conn)\\n 363|\\n 364|\\n 365|def apply_migrations(conn: Connection) -> None:\\n 366| conn.executescript(INITIAL_SCHEMA_SQL)\\n 367| existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n 368| if not existing_initial:\\n 369| conn.execute(\\n 370| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 371| (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n 372| )\\n 373| _apply_compat_migrations(conn)\\n 374| existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n 375| if not existing:\\n 376| conn.execute(\\n 377| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 378| (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n 379| )\\n 380| conn.commit()\\n 381|\", \"total_lines\": 380, \"file_size\": 16667, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"reasoning": "**Planning implementation details**\n\nI'm considering implementing the table and service, and I think I might need tests, possibly using FakeSt. I’ll write candidate.py and focus on the providers' lookup interface to upsert candidates. I want to ensure that we generate data for True Wealth instruments while using a mock local lookup provider since public lookup may not be available. I'll make sure that the API doesn’t crash if no candidates are found and keep testing with mock data to ensure robustness.",
"finish_reason": "tool_calls",
"reasoning_content": "**Planning implementation details**\n\nI'm considering implementing the table and service, and I think I might need tests, possibly using FakeSt. I’ll write candidate.py and focus on the providers' lookup interface to upsert candidates. I want to ensure that we generate data for True Wealth instruments while using a mock local lookup provider since public lookup may not be available. I'll make sure that the API doesn’t crash if no candidates are found and keep testing with mock data to ensure robustness.",
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"text": "**Planning implementation details**\n\nI'm considering implementing the table and service, and I think I might need tests, possibly using FakeSt. I’ll write candidate.py and focus on the providers' lookup interface to upsert candidates. I want to ensure that we generate data for True Wealth instruments while using a mock local lookup provider since public lookup may not be available. I'll make sure that the API doesn’t crash if no candidates are found and keep testing with mock data to ensure robustness."
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"arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py\",\"content\":\"from __future__ import annotations\\n\\nfrom dataclasses import dataclass, field\\nfrom sqlite3 import Connection\\nfrom typing import Protocol\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality, resolve_instrument_alerts\\nfrom jarvis_finance.market_data.mappings import confirm_instrument_price_mapping\\nfrom jarvis_finance.quality.alerts import create_alert\\n\\nHEDGE_MARKERS = (\\\"chf hedged\\\", \\\"hedged chf\\\", \\\"currency hedged\\\", \\\"hedged to chf\\\", \\\"chf-hedged\\\")\\n\\n\\n@dataclass(frozen=True)\\nclass ProviderCandidate:\\n provider: str\\n provider_symbol: str\\n exchange: str | None = None\\n currency: str | None = None\\n name: str | None = None\\n isin: str | None = None\\n is_hedged: bool | None = None\\n hedged_to_currency: str | None = None\\n instrument_status: str = \\\"unknown\\\"\\n evidence_source: str = \\\"provider_lookup\\\"\\n evidence_note: str = \\\"\\\"\\n\\n\\nclass InstrumentLookupProvider(Protocol):\\n name: str\\n\\n def lookup(self, *, isin: str | None, name: str | None, ticker: str | None, exchange: str | None, currency: str | None) -> list[ProviderCandidate]:\\n ...\\n\\n\\nclass LookupUnavailable(RuntimeError):\\n pass\\n\\n\\nclass EmptyLookupProvider:\\n name = \\\"manual\\\"\\n\\n def lookup(self, *, isin: str | None, name: str | None, ticker: str | None, exchange: str | None, currency: str | None) -> list[ProviderCandidate]:\\n return []\\n\\n\\n@dataclass\\nclass CandidateGenerationResult:\\n instruments_total: int = 0\\n candidates_found: int = 0\\n high_confidence: int = 0\\n medium_confidence: int = 0\\n low_confidence: int = 0\\n instruments_without_candidate: int = 0\\n instruments_with_hedge_unknown: int = 0\\n instruments_with_status_unknown: int = 0\\n provider_lookup_unavailable: int = 0\\n ambiguous_provider_mapping: int = 0\\n dry_run: bool = False\\n warnings: list[str] = field(default_factory=list)\\n\\n\\ndef _instrument_ids_for_true_wealth(conn: Connection, *, limit: int | None = None) -> list[str]:\\n sql = \\\"\\\"\\\"\\n SELECT DISTINCT t.instrument_id\\n FROM transactions t\\n JOIN instruments i ON i.instrument_id=t.instrument_id\\n WHERE t.transaction_type='initial_position_snapshot'\\n AND t.source_type='broker_import_reviewed_snapshot'\\n AND COALESCE(t.is_voided,0)=0\\n AND t.instrument_id IS NOT NULL\\n ORDER BY i.isin, i.name\\n \\\"\\\"\\\"\\n rows = conn.execute(sql).fetchall()\\n ids = [r[\\\"instrument_id\\\"] for r in rows]\\n return ids[:limit] if limit is not None else ids\\n\\n\\ndef _infer_hedge(name: str | None, candidate: ProviderCandidate) -> tuple[bool | None, str | None]:\\n if candidate.is_hedged is not None:\\n return candidate.is_hedged, candidate.hedged_to_currency\\n haystack = \\\" \\\".join(x for x in [name, candidate.name, candidate.evidence_note] if x).lower()\\n if any(marker in haystack for marker in HEDGE_MARKERS):\\n return True, \\\"CHF\\\"\\n return None, None\\n\\n\\ndef _confidence(inst, cand: ProviderCandidate) -> tuple[str, str]:\\n notes: list[str] = []\\n isin_match = bool(inst[\\\"isin\\\"] and cand.isin and inst[\\\"isin\\\"].upper() == cand.isin.upper())\\n ticker_match = bool(inst[\\\"ticker\\\"] and cand.provider_symbol and inst[\\\"ticker\\\"].upper() in cand.provider_symbol.upper())\\n has_exchange = bool(cand.exchange or inst[\\\"exchange\\\"])\\n currency_match = bool((cand.currency or \\\"\\\").upper() == (inst[\\\"currency\\\"] or \\\"\\\").upper()) if cand.currency and inst[\\\"currency\\\"] else False\\n if isin_match:\\n notes.append(\\\"ISIN match\\\")\\n if cand.provider_symbol and has_exchange:\\n return \\\"high\\\", \\\"; \\\".join(notes + ([\\\"currency match\\\"] if currency_match else []))\\n return \\\"medium\\\", \\\"; \\\".join(notes + [\\\"provider symbol/exchange incomplete\\\"])\\n if ticker_match and has_exchange:\\n return \\\"medium\\\", \\\"ticker+exchange match; requires manual review\\\"\\n if cand.name:\\n return \\\"low\\\", \\\"name-only or weak provider match; manual review required\\\"\\n return \\\"low\\\", \\\"weak candidate; manual review required\\\"\\n\\n\\ndef _review_status_for(confidence: str, count: int, inst, cand: ProviderCandidate) -> str:\\n if count > 1:\\n return \\\"needs_manual_review\\\"\\n if confidence == \\\"high\\\":\\n return \\\"proposed\\\"\\n if confidence == \\\"medium\\\":\\n return \\\"needs_manual_review\\\"\\n return \\\"needs_manual_review\\\"\\n\\n\\ndef upsert_candidate(conn: Connection, *, instrument_id: str, candidate: ProviderCandidate, confidence: str, review_status: str, evidence_note: str) -> str:\\n inst = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (instrument_id,)).fetchone()\\n if inst is None:\\n raise ValueError(f\\\"instrument not found: {instrument_id}\\\")\\n hedged, hedged_to = _infer_hedge(inst[\\\"name\\\"], candidate)\\n candidate_id = stable_id(\\\"ipmc\\\", instrument_id, candidate.provider, candidate.provider_symbol, candidate.exchange or \\\"\\\", candidate.currency or \\\"\\\")\\n now = utc_now()\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO instrument_price_mapping_candidates(\\n candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n candidate_exchange, candidate_currency, candidate_name, candidate_is_hedged,\\n candidate_hedged_to_currency, candidate_instrument_status, confidence,\\n evidence_source, evidence_note, review_status, created_at, updated_at\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(candidate_id) DO UPDATE SET\\n candidate_exchange=excluded.candidate_exchange,\\n candidate_currency=excluded.candidate_currency,\\n candidate_name=excluded.candidate_name,\\n candidate_is_hedged=excluded.candidate_is_hedged,\\n candidate_hedged_to_currency=excluded.candidate_hedged_to_currency,\\n candidate_instrument_status=excluded.candidate_instrument_status,\\n confidence=excluded.confidence,\\n evidence_source=excluded.evidence_source,\\n evidence_note=excluded.evidence_note,\\n review_status=excluded.review_status,\\n updated_at=excluded.updated_at\\n \\\"\\\"\\\",\\n (\\n candidate_id, instrument_id, inst[\\\"isin\\\"], candidate.provider, candidate.provider_symbol,\\n candidate.exchange, candidate.currency or inst[\\\"currency\\\"], candidate.name, 1 if hedged else 0 if hedged is False else None,\\n hedged_to, candidate.instrument_status or \\\"unknown\\\", confidence, candidate.evidence_source,\\n evidence_note or candidate.evidence_note, review_status, now, now,\\n ),\\n )\\n return candidate_id\\n\\n\\ndef generate_mapping_candidates(\\n conn: Connection,\\n *,\\n provider: InstrumentLookupProvider | None = None,\\n instrument_ids: list[str] | None = None,\\n source: str = \\\"true_wealth\\\",\\n limit: int | None = None,\\n dry_run: bool = False,\\n) -> CandidateGenerationResult:\\n lookup = provider or EmptyLookupProvider()\\n ids = instrument_ids if instrument_ids is not None else _instrument_ids_for_true_wealth(conn, limit=limit)\\n result = CandidateGenerationResult(instruments_total=len(ids), dry_run=dry_run)\\n for instrument_id in ids:\\n inst = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (instrument_id,)).fetchone()\\n if inst is None:\\n continue\\n ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)\\n if (inst[\\\"hedge_status\\\"] or \\\"unknown\\\") == \\\"unknown\\\":\\n result.instruments_with_hedge_unknown += 1\\n if (inst[\\\"instrument_status\\\"] or \\\"unknown\\\") == \\\"unknown\\\":\\n result.instruments_with_status_unknown += 1\\n try:\\n candidates = lookup.lookup(isin=inst[\\\"isin\\\"], name=inst[\\\"name\\\"], ticker=inst[\\\"ticker\\\"], exchange=inst[\\\"exchange\\\"], currency=inst[\\\"currency\\\"])\\n except Exception as exc:\\n result.provider_lookup_unavailable += 1\\n result.warnings.append(instrument_id)\\n if not dry_run:\\n create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"provider_lookup_unavailable\\\", message=\\\"Provider lookup unavailable for instrument mapping candidates.\\\", evidence={\\\"provider\\\": getattr(lookup, \\\"name\\\", \\\"unknown\\\"), \\\"error_type\\\": type(exc).__name__}, fingerprint=f\\\"provider_lookup_unavailable:{getattr(lookup, 'name', 'unknown')}\\\")\\n continue\\n if not candidates:\\n result.instruments_without_candidate += 1\\n if not dry_run:\\n create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"No provider-symbol candidate found; manual mapping required.\\\", evidence={\\\"source\\\": source, \\\"provider\\\": getattr(lookup, \\\"name\\\", \\\"manual\\\")}, fingerprint=f\\\"missing_provider_symbol:{getattr(lookup, 'name', 'manual')}\\\")\\n continue\\n if len(candidates) > 1:\\n result.ambiguous_provider_mapping += 1\\n if not dry_run:\\n create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"ambiguous_provider_mapping\\\", message=\\\"Multiple provider-symbol candidates require manual review.\\\", evidence={\\\"candidate_count\\\": len(candidates), \\\"provider\\\": getattr(lookup, \\\"name\\\", \\\"unknown\\\")}, fingerprint=f\\\"ambiguous_provider_mapping:{getattr(lookup, 'name', 'unknown')}:{len(candidates)}\\\")\\n for cand in candidates:\\n confidence, note = _confidence(inst, cand)\\n if confidence == \\\"high\\\":\\n result.high_confidence += 1\\n elif confidence == \\\"medium\\\":\\n result.medium_confidence += 1\\n else:\\n result.low_confidence += 1\\n status = _review_status_for(confidence, len(candidates), inst, cand)\\n result.candidates_found += 1\\n if not dry_run:\\n upsert_candidate(conn, instrument_id=instrument_id, candidate=cand, confidence=confidence, review_status=status, evidence_note=note)\\n if not dry_run:\\n conn.commit()\\n return result\\n\\n\\ndef select_mapping_candidate(conn: Connection, *, candidate_id: str, note: str, created_by: str = \\\"system\\\") -> str:\\n if not note.strip():\\n raise ValueError(\\\"candidate selection requires a note\\\")\\n cand = conn.execute(\\\"SELECT * FROM instrument_price_mapping_candidates WHERE candidate_id=?\\\", (candidate_id,)).fetchone()\\n if cand is None:\\n raise ValueError(f\\\"candidate not found: {candidate_id}\\\")\\n mapping_id = confirm_instrument_price_mapping(\\n conn,\\n instrument_id=cand[\\\"instrument_id\\\"],\\n provider=cand[\\\"candidate_provider\\\"],\\n provider_symbol=cand[\\\"candidate_provider_symbol\\\"],\\n provider_market=cand[\\\"candidate_exchange\\\"],\\n confidence=cand[\\\"confidence\\\"],\\n note=note,\\n exchange=cand[\\\"candidate_exchange\\\"],\\n currency=cand[\\\"candidate_currency\\\"],\\n hedge_status=\\\"hedged\\\" if cand[\\\"candidate_is_hedged\\\"] == 1 else None,\\n hedged_to_currency=cand[\\\"candidate_hedged_to_currency\\\"],\\n instrument_status=cand[\\\"candidate_instrument_status\\\"] if cand[\\\"candidate_instrument_status\\\"] != \\\"unknown\\\" else None,\\n valuation_policy=\\\"live_price\\\" if cand[\\\"candidate_instrument_status\\\"] == \\\"active\\\" else None,\\n trading_currency=cand[\\\"candidate_currency\\\"],\\n created_by=created_by,\\n )\\n now = utc_now()\\n conn.execute(\\\"UPDATE instrument_price_mapping_candidates SET review_status='selected', updated_at=? WHERE candidate_id=?\\\", (now, candidate_id))\\n conn.execute(\\\"UPDATE instrument_price_mapping_candidates SET review_status='rejected', updated_at=? WHERE instrument_id=? AND candidate_id<>? AND review_status IN ('proposed','needs_manual_review')\\\", (now, cand[\\\"instrument_id\\\"], candidate_id))\\n record_audit_event(\\n conn,\\n source=\\\"instrument_price_mapping_candidate\\\",\\n action=\\\"select_mapping_candidate\\\",\\n entity_type=\\\"instrument_price_mapping_candidate\\\",\\n entity_id=candidate_id,\\n new_values={\\\"mapping_id\\\": mapping_id, \\\"instrument_id\\\": cand[\\\"instrument_id\\\"], \\\"provider\\\": cand[\\\"candidate_provider\\\"], \\\"provider_symbol\\\": cand[\\\"candidate_provider_symbol\\\"]},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n resolve_instrument_alerts(conn, instrument_id=cand[\\\"instrument_id\\\"], rule_ids=[\\\"missing_provider_symbol\\\", \\\"ambiguous_provider_mapping\\\"])\\n conn.commit()\\n return mapping_id\\n\\n\\ndef get_mapping_candidate_summary(conn: Connection) -> dict[str, int]:\\n rows = conn.execute(\\\"SELECT confidence, COUNT(*) AS c FROM instrument_price_mapping_candidates GROUP BY confidence\\\").fetchall()\\n out = {\\\"total\\\": 0, \\\"high\\\": 0, \\\"medium\\\": 0, \\\"low\\\": 0}\\n for row in rows:\\n key = row[\\\"confidence\\\"] or \\\"low\\\"\\n if key in out:\\n out[key] += int(row[\\\"c\\\"] or 0)\\n out[\\\"total\\\"] += int(row[\\\"c\\\"] or 0)\\n return out\\n\"}"
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" conn.executescript(\\n \\\"\\\"\\\"\\n CREATE TABLE IF NOT EXISTS instrument_price_mapping_candidates (\\n candidate_id TEXT PRIMARY KEY,\\n instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n isin TEXT,\\n candidate_provider TEXT NOT NULL,\\n candidate_provider_symbol TEXT NOT NULL,\\n candidate_exchange TEXT,\\n candidate_currency TEXT,\\n candidate_name TEXT,\\n candidate_is_hedged INTEGER,\\n candidate_hedged_to_currency TEXT,\\n candidate_instrument_status TEXT NOT NULL DEFAULT 'unknown',\\n confidence TEXT NOT NULL DEFAULT 'low',\\n evidence_source TEXT,\\n evidence_note TEXT,\\n review_status TEXT NOT NULL DEFAULT 'proposed',\\n created_at TEXT NOT NULL,\\n updated_at TEXT\\n );\\n CREATE INDEX IF NOT EXISTS idx_ipmc_instrument ON instrument_price_mapping_candidates(instrument_id);\\n CREATE INDEX IF NOT EXISTS idx_ipmc_review_status ON instrument_price_mapping_candidates(review_status);\\n CREATE INDEX IF NOT EXISTS idx_ipmc_confidence ON instrument_price_mapping_candidates(confidence);\\n \\\"\\\"\\\"\\n )\\n conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)\\\")\",\"old_string\":\" conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"
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]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -345,6 +345,32 @@\\n \\\"trading_currency\\\": \\\"TEXT\\\",\\n \\\"base_exposure_currency\\\": \\\"TEXT\\\",\\n })\\n+ conn.executescript(\\n+ \\\"\\\"\\\"\\n+ CREATE TABLE IF NOT EXISTS instrument_price_mapping_candidates (\\n+ candidate_id TEXT PRIMARY KEY,\\n+ instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n+ isin TEXT,\\n+ candidate_provider TEXT NOT NULL,\\n+ candidate_provider_symbol TEXT NOT NULL,\\n+ candidate_exchange TEXT,\\n+ candidate_currency TEXT,\\n+ candidate_name TEXT,\\n+ candidate_is_hedged INTEGER,\\n+ candidate_hedged_to_currency TEXT,\\n+ candidate_instrument_status TEXT NOT NULL DEFAULT 'unknown',\\n+ confidence TEXT NOT NULL DEFAULT 'low',\\n+ evidence_source TEXT,\\n+ evidence_note TEXT,\\n+ review_status TEXT NOT NULL DEFAULT 'proposed',\\n+ created_at TEXT NOT NULL,\\n+ updated_at TEXT\\n+ );\\n+ CREATE INDEX IF NOT EXISTS idx_ipmc_instrument ON instrument_price_mapping_candidates(instrument_id);\\n+ CREATE INDEX IF NOT EXISTS idx_ipmc_review_status ON instrument_price_mapping_candidates(review_status);\\n+ CREATE INDEX IF NOT EXISTS idx_ipmc_confidence ON instrument_price_mapping_candidates(confidence);\\n+ \\\"\\\"\\\"\\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)\\\")\\n conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_fx_rates_unique_provider_date ON fx_rates(base_currency, quote_currency, rate_date, provider, rate_type)\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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},
{
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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@@ -282,6 +282,10 @@\\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+ (\\\"provider lookup unavailable\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='provider_lookup_unavailable'\\\", \\\"warnung\\\"),\\n+ (\\\"ambiguous provider mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_provider_mapping'\\\", \\\"warnung\\\"),\\n+ (\\\"instrument status unknown\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='instrument_status_unknown'\\\", \\\"warnung\\\"),\\n+ (\\\"manual FX override required\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('manual_override_required','manual_fx_override_required')\\\", \\\"kritisch\\\"),\\n (\\\"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 (\\\"ambiguous Instrument Mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'\\\", \\\"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 modified by sibling subagent '20260515_132829_5f4002' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes.\"}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\"def get_instrument_mapping_review(conn: Connection) -> list[dict[str, str]]:\\n rows = conn.execute(\\n \\\"\\\"\\\"\\n SELECT i.instrument_id, i.isin, i.name, i.ticker, i.exchange, i.currency,\\n i.hedge_status, i.instrument_status, i.valuation_policy,\\n COALESCE(m.mapping_status, 'missing_provider_symbol') AS mapping_status,\\n COALESCE(m.provider, '') AS provider,\\n COALESCE(m.provider_symbol, '') AS provider_symbol,\\n COUNT(c.candidate_id) AS candidate_count\\n FROM instruments i\\n JOIN transactions t ON t.instrument_id=i.instrument_id\\n LEFT JOIN instrument_price_mappings m ON m.instrument_id=i.instrument_id AND m.mapping_status='mapped'\\n LEFT JOIN instrument_price_mapping_candidates c ON c.instrument_id=i.instrument_id AND c.review_status IN ('proposed','needs_manual_review')\\n WHERE t.transaction_type='initial_position_snapshot'\\n AND t.source_type='broker_import_reviewed_snapshot'\\n AND COALESCE(t.is_voided,0)=0\\n GROUP BY i.instrument_id\\n ORDER BY i.isin, i.name\\n \\\"\\\"\\\"\\n ).fetchall()\\n return rowdicts(rows)\\n\\n\\ndef get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\\n if instrument_id:\\n rows = conn.execute(\\n \\\"\\\"\\\"\\n SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n candidate_exchange, candidate_currency, candidate_name, candidate_is_hedged,\\n candidate_hedged_to_currency, candidate_instrument_status, confidence,\\n evidence_source, evidence_note, review_status, created_at\\n FROM instrument_price_mapping_candidates WHERE instrument_id=?\\n ORDER BY CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider\\n \\\"\\\"\\\",\\n (instrument_id,),\\n ).fetchall()\\n else:\\n rows = conn.execute(\\n \\\"\\\"\\\"\\n SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n candidate_exchange, candidate_currency, candidate_name, candidate_is_hedged,\\n candidate_hedged_to_currency, candidate_instrument_status, confidence,\\n evidence_source, evidence_note, review_status, created_at\\n FROM instrument_price_mapping_candidates\\n ORDER BY instrument_id, CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider\\n \\\"\\\"\\\"\\n ).fetchall()\\n return rowdicts(rows)\\n\\n\\ndef get_fx_override_requirements(conn: Connection) -> list[dict[str, str]]:\\n rows = conn.execute(\\n \\\"\\\"\\\"\\n SELECT t.currency_original AS base_currency, 'CHF' AS quote_currency, t.trade_date AS rate_date,\\n COUNT(DISTINCT t.instrument_id) AS instrument_count,\\n CASE WHEN fr.fx_rate_id IS NULL THEN 'missing_fx' ELSE fr.quality_status END AS fx_status\\n FROM transactions t\\n LEFT JOIN fx_rates fr ON fr.base_currency=t.currency_original AND fr.quote_currency='CHF' AND fr.rate_date=t.trade_date\\n WHERE t.transaction_type='initial_position_snapshot'\\n AND t.source_type='broker_import_reviewed_snapshot'\\n AND COALESCE(t.is_voided,0)=0\\n AND t.currency_original IS NOT NULL\\n AND t.currency_original <> 'CHF'\\n GROUP BY t.currency_original, t.trade_date, fx_status\\n ORDER BY t.currency_original, t.trade_date\\n \\\"\\\"\\\"\\n ).fetchall()\\n return rowdicts(rows)\\n\\n\\ndef get_import_wizard_summary(conn: Connection) -> dict[str, str]:\",\"old_string\":\"def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"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@@ -328,6 +328,76 @@\\n return items\\n \\n \\n+def get_instrument_mapping_review(conn: Connection) -> list[dict[str, str]]:\\n+ rows = conn.execute(\\n+ \\\"\\\"\\\"\\n+ SELECT i.instrument_id, i.isin, i.name, i.ticker, i.exchange, i.currency,\\n+ i.hedge_status, i.instrument_status, i.valuation_policy,\\n+ COALESCE(m.mapping_status, 'missing_provider_symbol') AS mapping_status,\\n+ COALESCE(m.provider, '') AS provider,\\n+ COALESCE(m.provider_symbol, '') AS provider_symbol,\\n+ COUNT(c.candidate_id) AS candidate_count\\n+ FROM instruments i\\n+ JOIN transactions t ON t.instrument_id=i.instrument_id\\n+ LEFT JOIN instrument_price_mappings m ON m.instrument_id=i.instrument_id AND m.mapping_status='mapped'\\n+ LEFT JOIN instrument_price_mapping_candidates c ON c.instrument_id=i.instrument_id AND c.review_status IN ('proposed','needs_manual_review')\\n+ WHERE t.transaction_type='initial_position_snapshot'\\n+ AND t.source_type='broker_import_reviewed_snapshot'\\n+ AND COALESCE(t.is_voided,0)=0\\n+ GROUP BY i.instrument_id\\n+ ORDER BY i.isin, i.name\\n+ \\\"\\\"\\\"\\n+ ).fetchall()\\n+ return rowdicts(rows)\\n+\\n+\\n+def get_instrument_mapping_candidates(conn: Connection, instrument_id: str | None = None) -> list[dict[str, str]]:\\n+ if instrument_id:\\n+ rows = conn.execute(\\n+ \\\"\\\"\\\"\\n+ SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n+ candidate_exchange, candidate_currency, candidate_name, candidate_is_hedged,\\n+ candidate_hedged_to_currency, candidate_instrument_status, confidence,\\n+ evidence_source, evidence_note, review_status, created_at\\n+ FROM instrument_price_mapping_candidates WHERE instrument_id=?\\n+ ORDER BY CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider\\n+ \\\"\\\"\\\",\\n+ (instrument_id,),\\n+ ).fetchall()\\n+ else:\\n+ rows = conn.execute(\\n+ \\\"\\\"\\\"\\n+ SELECT candidate_id, instrument_id, isin, candidate_provider, candidate_provider_symbol,\\n+ candidate_exchange, candidate_currency, candidate_name, candidate_is_hedged,\\n+ candidate_hedged_to_currency, candidate_instrument_status, confidence,\\n+ evidence_source, evidence_note, review_status, created_at\\n+ FROM instrument_price_mapping_candidates\\n+ ORDER BY instrument_id, CASE confidence WHEN 'high' THEN 0 WHEN 'medium' THEN 1 ELSE 2 END, candidate_provider\\n+ \\\"\\\"\\\"\\n+ ).fetchall()\\n+ return rowdicts(rows)\\n+\\n+\\n+def get_fx_override_requirements(conn: Connection) -> list[dict[str, str]]:\\n+ rows = conn.execute(\\n+ \\\"\\\"\\\"\\n+ SELECT t.currency_original AS base_currency, 'CHF' AS quote_currency, t.trade_date AS rate_date,\\n+ COUNT(DISTINCT t.instrument_id) AS instrument_count,\\n+ CASE WHEN fr.fx_rate_id IS NULL THEN 'missing_fx' ELSE fr.quality_status END AS fx_status\\n+ FROM transactions t\\n+ LEFT JOIN fx_rates fr ON fr.base_currency=t.currency_original AND fr.quote_currency='CHF' AND fr.rate_date=t.trade_date\\n+ WHERE t.transaction_type='initial_position_snapshot'\\n+ AND t.source_type='broker_import_reviewed_snapshot'\\n+ AND COALESCE(t.is_voided,0)=0\\n+ AND t.currency_original IS NOT NULL\\n+ AND t.currency_original <> 'CHF'\\n+ GROUP BY t.currency_original, t.trade_date, fx_status\\n+ ORDER BY t.currency_original, t.trade_date\\n+ \\\"\\\"\\\"\\n+ ).fetchall()\\n+ return rowdicts(rows)\\n+\\n+\\n def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"reasoning_content": "**Planning UI updates**\n\nI need to create a page and add a review tab for equity management. It's important to ensure that no live data is displayed. The user interface should allow for selection and saving of information. I also need to consider including an FX override UI with a note. Lastly, I have to incorporate a function that requires a Decimal format. It’s a lot to juggle, but I’m working through it!",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\"from decimal import Decimal\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\nfrom jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, get_equity_management_options\\nfrom jarvis_finance.fx.overrides import set_manual_fx_override\\nfrom jarvis_finance.market_data.candidates import select_mapping_candidate\",\"old_string\":\"from jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\nfrom jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, get_equity_management_options\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\\n@@ -1,8 +1,12 @@\\n from __future__ import annotations\\n+\\n+from decimal import Decimal\\n \\n from jarvis_finance.dashboard import data\\n from jarvis_finance.dashboard.components.tables import show_table\\n from jarvis_finance.equity.manage import add_equity_initial_snapshot, add_equity_transaction, get_equity_management_options\\n+from jarvis_finance.fx.overrides import set_manual_fx_override\\n+from jarvis_finance.market_data.candidates import select_mapping_candidate\\n \\n PAGE_TITLE = \\\"Equity/ETF Manage\\\"\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" with tabs[8]:\\n st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n show_table(st, data.get_positions(conn))\\n st.divider()\\n st.subheader(\\\"Instrument Price Mapping Review\\\")\\n st.caption(\\\"Runtime-Review: Kandidaten ansehen und manuell bestätigen. Keine Live-API und keine Positionsänderung beim Rendern.\\\")\\n review_rows = data.get_instrument_mapping_review(conn)\\n show_table(st, review_rows)\\n candidates = data.get_instrument_mapping_candidates(conn)\\n show_table(st, candidates)\\n candidate_labels = [f\\\"{c['candidate_id']} | {c['candidate_provider']} | {c['candidate_provider_symbol']} | {c['confidence']} | {c['review_status']}\\\" for c in candidates]\\n selected_candidate_label = st.selectbox(\\\"Mapping-Kandidat auswählen\\\", candidate_labels, key=\\\"mapping_candidate_select\\\") if candidate_labels else None\\n mapping_note = st.text_area(\\\"Bestätigungsnotiz für Mapping-Auswahl\\\", key=\\\"mapping_candidate_note\\\")\\n if st.button(\\\"Ausgewählten Mapping-Kandidaten bestätigen\\\", key=\\\"mapping_candidate_confirm\\\"):\\n try:\\n if not selected_candidate_label:\\n raise ValueError(\\\"candidate is required\\\")\\n candidate_id = selected_candidate_label.split(\\\" | \\\", 1)[0]\\n mapping_id = select_mapping_candidate(conn, candidate_id=candidate_id, note=mapping_note, created_by=\\\"dashboard\\\")\\n st.success(\\\"Mapping-Kandidat bestätigt; Audit-Log geschrieben.\\\")\\n st.write({\\\"mapping_id\\\": mapping_id})\\n except Exception as exc:\\n st.error(f\\\"Mapping-Auswahl abgelehnt: {exc}\\\")\\n st.divider()\\n st.subheader(\\\"FX Override Review\\\")\\n st.caption(\\\"Historische FX-Rates nur manuell mit Quelle/Notiz erfassen. Keine Rates ohne bewusste Speicherung.\\\")\\n fx_rows = data.get_fx_override_requirements(conn)\\n show_table(st, fx_rows)\\n fx_labels = [f\\\"{r['base_currency']}/{r['quote_currency']} {r['rate_date']} ({r['fx_status']})\\\" for r in fx_rows]\\n fx_label = st.selectbox(\\\"FX-Paar/Datum\\\", fx_labels, key=\\\"fx_override_select\\\") if fx_labels else None\\n fx_rate = st.text_input(\\\"FX-Rate zu CHF\\\", key=\\\"fx_override_rate\\\")\\n fx_note = st.text_area(\\\"FX-Quelle/Notiz (Pflicht)\\\", key=\\\"fx_override_note\\\")\\n if st.button(\\\"Manual FX Override speichern\\\", key=\\\"fx_override_save\\\"):\\n try:\\n if not fx_label:\\n raise ValueError(\\\"fx pair/date is required\\\")\\n pair, date_part = fx_label.split(\\\" \\\", 1)\\n base, quote = pair.split(\\\"/\\\", 1)\\n rate_date = date_part.split(\\\" \\\", 1)[0]\\n set_manual_fx_override(conn, base_currency=base, quote_currency=quote, rate_date=rate_date, rate=Decimal(fx_rate), note=fx_note, created_by=\\\"dashboard\\\")\\n st.success(\\\"Manual FX Override gespeichert und auditierbar erfasst.\\\")\\n except Exception as exc:\\n st.error(f\\\"FX Override abgelehnt: {exc}\\\")\\n\",\"old_string\":\" with tabs[8]:\\n st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n show_table(st, data.get_positions(conn))\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\\n@@ -151,3 +151,43 @@\\n with tabs[8]:\\n st.subheader(\\\"Aktuelle Equity/ETF Übersicht\\\")\\n show_table(st, data.get_positions(conn))\\n+ st.divider()\\n+ st.subheader(\\\"Instrument Price Mapping Review\\\")\\n+ st.caption(\\\"Runtime-Review: Kandidaten ansehen und manuell bestätigen. Keine Live-API und keine Positionsänderung beim Rendern.\\\")\\n+ review_rows = data.get_instrument_mapping_review(conn)\\n+ show_table(st, review_rows)\\n+ candidates = data.get_instrument_mapping_candidates(conn)\\n+ show_table(st, candidates)\\n+ candidate_labels = [f\\\"{c['candidate_id']} | {c['candidate_provider']} | {c['candidate_provider_symbol']} | {c['confidence']} | {c['review_status']}\\\" for c in candidates]\\n+ selected_candidate_label = st.selectbox(\\\"Mapping-Kandidat auswählen\\\", candidate_labels, key=\\\"mapping_candidate_select\\\") if candidate_labels else None\\n+ mapping_note = st.text_area(\\\"Bestätigungsnotiz für Mapping-Auswahl\\\", key=\\\"mapping_candidate_note\\\")\\n+ if st.button(\\\"Ausgewählten Mapping-Kandidaten bestätigen\\\", key=\\\"mapping_candidate_confirm\\\"):\\n+ try:\\n+ if not selected_candidate_label:\\n+ raise ValueError(\\\"candidate is required\\\")\\n+ candidate_id = selected_candidate_label.split(\\\" | \\\", 1)[0]\\n+ mapping_id = select_mapping_candidate(conn, candidate_id=candidate_id, note=mapping_note, created_by=\\\"dashboard\\\")\\n+ st.success(\\\"Mapping-Kandidat bestätigt; Audit-Log geschrieben.\\\")\\n+ st.write({\\\"mapping_id\\\": mapping_id})\\n+ except Exception as exc:\\n+ st.error(f\\\"Mapping-Auswahl abgelehnt: {exc}\\\")\\n+ st.divider()\\n+ st.subheader(\\\"FX Override Review\\\")\\n+ st.caption(\\\"Historische FX-Rates nur manuell mit Quelle/Notiz erfassen. Keine Rates ohne bewusste Speicherung.\\\")\\n+ fx_rows = data.get_fx_override_requirements(conn)\\n+ show_table(st, fx_rows)\\n+ fx_labels = [f\\\"{r['base_currency']}/{r['quote_currency']} {r['rate_date']} ({r['fx_status']})\\\" for r in fx_rows]\\n+ fx_label = st.selectbox(\\\"FX-Paar/Datum\\\", fx_labels, key=\\\"fx_override_select\\\") if fx_labels else None\\n+ fx_rate = st.text_input(\\\"FX-Rate zu CHF\\\", key=\\\"fx_override_rate\\\")\\n+ fx_note = st.text_area(\\\"FX-Quelle/Notiz (Pflicht)\\\", key=\\\"fx_override_note\\\")\\n+ if st.button(\\\"Manual FX Override speichern\\\", key=\\\"fx_override_save\\\"):\\n+ try:\\n+ if not fx_label:\\n+ raise ValueError(\\\"fx pair/date is required\\\")\\n+ pair, date_part = fx_label.split(\\\" \\\", 1)\\n+ base, quote = pair.split(\\\"/\\\", 1)\\n+ rate_date = date_part.split(\\\" \\\", 1)[0]\\n+ set_manual_fx_override(conn, base_currency=base, quote_currency=quote, rate_date=rate_date, rate=Decimal(fx_rate), note=fx_note, created_by=\\\"dashboard\\\")\\n+ st.success(\\\"Manual FX Override gespeichert und auditierbar erfasst.\\\")\\n+ except Exception as exc:\\n+ st.error(f\\\"FX Override abgelehnt: {exc}\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_13_equity_manage.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from dataclasses import dataclass, field\\n 4|from sqlite3 import Connection\\n 5|\\n 6|from jarvis_finance.audit.log import record_audit_event\\n 7|from jarvis_finance.imports.common import utc_now\\n 8|from jarvis_finance.quality.alerts import create_alert\\n 9|\\n 10|HEDGE_STATUSES = {\\\"hedged\\\", \\\"unhedged\\\", \\\"unknown\\\"}\\n 11|INSTRUMENT_STATUSES = {\\\"active\\\", \\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\", \\\"unknown\\\", \\\"suspected_inactive\\\"}\\n 12|VALUATION_POLICIES = {\\\"live_price\\\", \\\"last_known_price\\\", \\\"manual_value\\\", \\\"exclude_from_auto_price_update\\\"}\\n 13|CORPORATE_ACTION_STATUSES = {\\\"none_known\\\", \\\"suspected\\\", \\\"confirmed\\\", \\\"adjusted\\\", \\\"ignored\\\", \\\"unknown\\\", \\\"not_checked\\\"}\\n 14|\\n 15|\\n 16|@dataclass\\n 17|class InstrumentMetadataResult:\\n 18| instrument_id: str\\n 19| quality_flags: list[str] = field(default_factory=list)\\n 20|\\n 21|\\n 22|def _instrument(conn: Connection, instrument_id: str):\\n 23| row = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (instrument_id,)).fetchone()\\n 24| if row is None:\\n 25| raise ValueError(f\\\"instrument not found: {instrument_id}\\\")\\n 26| return row\\n 27|\\n 28|\\n 29|def resolve_instrument_alerts(conn: Connection, *, instrument_id: str, rule_ids: list[str]) -> int:\\n 30| now = utc_now()\\n 31| if not rule_ids:\\n 32| return 0\\n 33| rows = conn.execute(\\n 34| \\\"SELECT alert_id FROM alerts WHERE status='active' AND entity_type='instrument' AND entity_id=? AND rule_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in rule_ids) + \\\")\\\",\\n 35| (instrument_id, *rule_ids),\\n 36| ).fetchall()\\n 37| for row in rows:\\n 38| conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?\\\", (now, now, row[\\\"alert_id\\\"]))\\n 39| return len(rows)\\n 40|\\n 41|\\n 42|def ensure_instrument_metadata_quality(conn: Connection, *, instrument_id: str) -> InstrumentMetadataResult:\\n 43| inst = _instrument(conn, instrument_id)\\n 44| result = InstrumentMetadataResult(instrument_id=instrument_id)\\n 45| hedge_status = inst[\\\"hedge_status\\\"] or \\\"unknown\\\"\\n 46| instrument_status = inst[\\\"instrument_status\\\"] or \\\"unknown\\\"\\n 47| corporate_action_status = inst[\\\"corporate_action_status\\\"] or \\\"not_checked\\\"\\n 48| if hedge_status == \\\"unknown\\\":\\n 49| result.quality_flags.append(\\\"hedge_status_unknown\\\")\\n 50| create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"hedge_status_unknown\\\", message=\\\"Currency hedge status is unknown and must be reviewed before precise valuation attribution.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"]}, fingerprint=\\\"hedge_status_unknown\\\")\\n 51| else:\\n 52| resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"hedge_status_unknown\\\"])\\n 53| if instrument_status in {\\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\"}:\\n 54| result.quality_flags.append(\\\"delisted_or_suspended\\\")\\n 55| create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"delisted_or_suspended\\\", message=\\\"Instrument is not active; automatic price update must be excluded or manually valued.\\\", evidence={\\\"status\\\": instrument_status}, fingerprint=f\\\"delisted_or_suspended:{instrument_status}\\\")\\n 56| if corporate_action_status in {\\\"unknown\\\", \\\"not_checked\\\"}:\\n 57| # Visible status, not necessarily blocking; alert only when explicit review flag is set.\\n 58| if inst[\\\"split_or_corporate_action_review_required\\\"]:\\n 59| result.quality_flags.append(\\\"split_or_corporate_action_review_required\\\")\\n 60| create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"split_or_corporate_action_review_required\\\", message=\\\"Corporate action review is required before high-confidence valuation.\\\", evidence={\\\"corporate_action_status\\\": corporate_action_status}, fingerprint=\\\"split_or_corporate_action_review_required\\\")\\n 61| conn.commit()\\n 62| return result\\n 63|\\n 64|\\n 65|def update_instrument_metadata(\\n 66| conn: Connection,\\n 67| *,\\n 68| instrument_id: str,\\n 69| hedge_status: str | None = None,\\n 70| is_currency_hedged: bool | None = None,\\n 71| hedged_to_currency: str | None = None,\\n 72| instrument_status: str | None = None,\\n 73| valuation_policy: str | None = None,\\n 74| base_exposure_currency: str | None = None,\\n 75| trading_currency: str | None = None,\\n 76| corporate_action_status: str | None = None,\\n 77| split_or_corporate_action_review_required: bool | None = None,\\n 78| note: str,\\n 79| created_by: str = \\\"system\\\",\\n 80|) -> None:\\n 81| if not note.strip():\\n 82| raise ValueError(\\\"instrument metadata update requires a note\\\")\\n 83| old = dict(_instrument(conn, instrument_id))\\n 84| values: dict[str, object] = {}\\n 85| if hedge_status is not None:\\n 86| if hedge_status not in HEDGE_STATUSES:\\n 87| raise ValueError(\\\"invalid hedge_status\\\")\\n 88| values[\\\"hedge_status\\\"] = hedge_status\\n 89| values[\\\"is_currency_hedged\\\"] = 1 if hedge_status == \\\"hedged\\\" else 0\\n 90| if is_currency_hedged is not None:\\n 91| values[\\\"is_currency_hedged\\\"] = 1 if is_currency_hedged else 0\\n 92| if hedged_to_currency is not None:\\n 93| values[\\\"hedged_to_currency\\\"] = hedged_to_currency.upper() if hedged_to_currency else None\\n 94| if instrument_status is not None:\\n 95| if instrument_status not in INSTRUMENT_STATUSES:\\n 96| raise ValueError(\\\"invalid instrument_status\\\")\\n 97| values[\\\"instrument_status\\\"] = instrument_status\\n 98| if valuation_policy is not None:\\n 99| if valuation_policy not in VALUATION_POLICIES:\\n 100| raise ValueError(\\\"invalid valuation_policy\\\")\\n 101| values[\\\"valuation_policy\\\"] = valuation_policy\\n 102| if base_exposure_currency is not None:\\n 103| values[\\\"base_exposure_currency\\\"] = base_exposure_currency.upper() if base_exposure_currency else None\\n 104| if trading_currency is not None:\\n 105| values[\\\"trading_currency\\\"] = trading_currency.upper() if trading_currency else None\\n 106| if corporate_action_status is not None:\\n 107| if corporate_action_status not in CORPORATE_ACTION_STATUSES:\\n 108| raise ValueError(\\\"invalid corporate_action_status\\\")\\n 109| values[\\\"corporate_action_status\\\"] = corporate_action_status\\n 110| if split_or_corporate_action_review_required is not None:\\n 111| values[\\\"split_or_corporate_action_review_required\\\"] = 1 if split_or_corporate_action_review_required else 0\\n 112| if not values:\\n 113| return\\n 114| values[\\\"updated_at\\\"] = utc_now()\\n 115| assignments = \\\", \\\".join(f\\\"{k}=?\\\" for k in values)\\n 116| conn.execute(f\\\"UPDATE instruments SET {assignments} WHERE instrument_id=?\\\", (*values.values(), instrument_id))\\n 117| if values.get(\\\"hedge_status\\\") and values[\\\"hedge_status\\\"] != \\\"unknown\\\":\\n 118| resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"hedge_status_unknown\\\"])\\n 119| if values.get(\\\"instrument_status\\\") == \\\"active\\\":\\n 120| resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"delisted_or_suspended\\\"])\\n 121| if values.get(\\\"corporate_action_status\\\") in {\\\"none_known\\\", \\\"adjusted\\\", \\\"ignored\\\"}:\\n 122| resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"corporate_action_suspected\\\", \\\"split_or_corporate_action_review_required\\\"])\\n 123| record_audit_event(\\n 124| conn,\\n 125| source=\\\"instrument_metadata\\\",\\n 126| action=\\\"update_instrument_metadata\\\",\\n 127| entity_type=\\\"instrument\\\",\\n 128| entity_id=instrument_id,\\n 129| old_values={k: old.get(k) for k in values if k != \\\"updated_at\\\"},\\n 130| new_values={k: values[k] for k in values if k != \\\"updated_at\\\"},\\n 131| user_text_note=note,\\n 132| confirmed=True,\\n 133| created_by=created_by,\\n 134| )\\n 135| conn.commit()\\n 136|\", \"total_lines\": 135, \"file_size\": 7401, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom decimal import Decimal\\n\\nimport pytest\\n\\nfrom jarvis_finance.dashboard.pages import page_13_equity_manage\\nfrom jarvis_finance.fx.overrides import set_manual_fx_override\\nfrom jarvis_finance.market_data.candidates import (\\n LookupUnavailable,\\n ProviderCandidate,\\n generate_mapping_candidates,\\n select_mapping_candidate,\\n)\\nfrom jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality\\nfrom jarvis_finance.market_data.prices import refresh_market_prices\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations\\n\\n\\nclass StaticLookupProvider:\\n name = \\\"static\\\"\\n\\n def __init__(self, candidates_by_isin=None, *, fail=False):\\n self.candidates_by_isin = candidates_by_isin or {}\\n self.fail = fail\\n\\n def lookup(self, *, isin, name, ticker, exchange, currency):\\n if self.fail:\\n raise LookupUnavailable(\\\"lookup down\\\")\\n return list(self.candidates_by_isin.get(isin, []))\\n\\n\\nclass RaisingPriceProvider:\\n name = \\\"raising\\\"\\n\\n def get_price(self, symbol: str):\\n raise AssertionError(\\\"price provider should not be called without confirmed mappings\\\")\\n\\n\\nclass FakeTab:\\n def __enter__(self):\\n return self\\n\\n def __exit__(self, *args):\\n return False\\n\\n\\nclass FakeSt:\\n def title(self, *args, **kwargs): pass\\n def caption(self, *args, **kwargs): pass\\n def warning(self, *args, **kwargs): pass\\n def subheader(self, *args, **kwargs): pass\\n def write(self, *args, **kwargs): pass\\n def success(self, *args, **kwargs): pass\\n def error(self, *args, **kwargs): pass\\n def info(self, *args, **kwargs): pass\\n def divider(self, *args, **kwargs): pass\\n def dataframe(self, *args, **kwargs): pass\\n def table(self, *args, **kwargs): pass\\n def tabs(self, labels): return [FakeTab() for _ in labels]\\n def selectbox(self, label, options, **kwargs): return options[0] if options else None\\n def text_input(self, *args, **kwargs): return kwargs.get(\\\"value\\\", \\\"\\\")\\n def text_area(self, *args, **kwargs): return \\\"\\\"\\n def date_input(self, *args, **kwargs): return \\\"2025-12-31\\\"\\n def checkbox(self, *args, **kwargs): return False\\n def expander(self, *args, **kwargs): return FakeTab()\\n def button(self, *args, **kwargs): return False\\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','True Wealth','broker','CHF','now')\\\")\\n conn.execute(\\\"INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','TW','brokerage','CHF','now')\\\")\\n conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,exchange,currency,created_at) VALUES('inst1','ETF','Global Equity ETF','GETF','CH0000000001',NULL,'USD','now')\\\")\\n conn.execute(\\\"INSERT INTO transactions(transaction_id,transaction_type,account_id,instrument_id,trade_date,quantity,currency_original,fx_status,source_type,is_confirmed,quality_status,created_at) VALUES('tx1','initial_position_snapshot','a1','inst1','2025-12-31','1','USD','missing','broker_import_reviewed_snapshot',1,'warning','now')\\\")\\n return conn\\n\\n\\ndef test_candidate_generator_creates_high_candidate_from_isin_match() -> None:\\n conn = setup_conn()\\n provider = StaticLookupProvider({\\n 'CH0000000001': [ProviderCandidate(provider='stooq', provider_symbol='GETF.SW', exchange='SWX', currency='USD', name='Global Equity ETF', isin='CH0000000001', instrument_status='active')]\\n })\\n result = generate_mapping_candidates(conn, provider=provider)\\n row = conn.execute(\\\"SELECT * FROM instrument_price_mapping_candidates WHERE instrument_id='inst1'\\\").fetchone()\\n assert result.candidates_found == 1\\n assert result.high_confidence == 1\\n assert row['confidence'] == 'high'\\n assert row['review_status'] == 'proposed'\\n\\n\\ndef test_name_only_candidate_is_review_required_low_confidence() -> None:\\n conn = setup_conn()\\n provider = StaticLookupProvider({'CH0000000001': [ProviderCandidate(provider='manual', provider_symbol='UNKNOWN', name='Global Equity ETF')]})\\n generate_mapping_candidates(conn, provider=provider)\\n row = conn.execute(\\\"SELECT confidence,review_status FROM instrument_price_mapping_candidates\\\").fetchone()\\n assert row['confidence'] == 'low'\\n assert row['review_status'] == 'needs_manual_review'\\n\\n\\ndef test_multiple_candidates_are_manual_review_and_alerted() -> None:\\n conn = setup_conn()\\n provider = StaticLookupProvider({'CH0000000001': [\\n ProviderCandidate(provider='stooq', provider_symbol='GETF.SW', exchange='SWX', isin='CH0000000001'),\\n ProviderCandidate(provider='yahoo', provider_symbol='GETF.SW', exchange='SWX', isin='CH0000000001'),\\n ]})\\n result = generate_mapping_candidates(conn, provider=provider)\\n statuses = {r['review_status'] for r in conn.execute(\\\"SELECT review_status FROM instrument_price_mapping_candidates\\\").fetchall()}\\n assert result.ambiguous_provider_mapping == 1\\n assert statuses == {'needs_manual_review'}\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='ambiguous_provider_mapping' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_no_candidate_keeps_missing_provider_symbol_active() -> None:\\n conn = setup_conn()\\n result = generate_mapping_candidates(conn, provider=StaticLookupProvider({}))\\n assert result.instruments_without_candidate == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_hedge_and_instrument_status_unknown_alerts() -> None:\\n conn = setup_conn()\\n ensure_instrument_metadata_quality(conn, instrument_id='inst1')\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='hedge_status_unknown' AND status='active'\\\").fetchone()['c'] == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='instrument_status_unknown' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_chf_hedged_candidate_remains_proposed_until_confirmed() -> None:\\n conn = setup_conn()\\n provider = StaticLookupProvider({'CH0000000001': [ProviderCandidate(provider='stooq', provider_symbol='GETF.SW', exchange='SWX', currency='CHF', name='Global Equity ETF CHF Hedged', isin='CH0000000001', instrument_status='active')]})\\n generate_mapping_candidates(conn, provider=provider)\\n row = conn.execute(\\\"SELECT candidate_is_hedged,candidate_hedged_to_currency,review_status FROM instrument_price_mapping_candidates\\\").fetchone()\\n inst = conn.execute(\\\"SELECT hedge_status FROM instruments WHERE instrument_id='inst1'\\\").fetchone()\\n assert row['candidate_is_hedged'] == 1\\n assert row['candidate_hedged_to_currency'] == 'CHF'\\n assert row['review_status'] == 'proposed'\\n assert inst['hedge_status'] == 'unknown'\\n\\n\\ndef test_provider_lookup_error_does_not_crash() -> None:\\n conn = setup_conn()\\n result = generate_mapping_candidates(conn, provider=StaticLookupProvider(fail=True))\\n assert result.provider_lookup_unavailable == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='provider_lookup_unavailable' AND status='active'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_mapping_selection_writes_audit_and_resolves_missing_provider_symbol() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mps','warnung','market_data','instrument','inst1','missing_provider_symbol','missing','active','now')\\\")\\n provider = StaticLookupProvider({'CH0000000001': [ProviderCandidate(provider='stooq', provider_symbol='GETF.SW', exchange='SWX', currency='USD', isin='CH0000000001', instrument_status='active')]})\\n generate_mapping_candidates(conn, provider=provider)\\n candidate_id = conn.execute(\\\"SELECT candidate_id FROM instrument_price_mapping_candidates\\\").fetchone()['candidate_id']\\n mapping_id = select_mapping_candidate(conn, candidate_id=candidate_id, note='manual confirmation')\\n assert mapping_id\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action IN ('confirm_instrument_price_mapping','select_mapping_candidate')\\\").fetchone()['c'] >= 2\\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_fx_override_requires_note_and_resolves_missing_fx() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('fx1','kritisch','fx','instrument','inst1','missing_fx','missing','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 set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='statement source')\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='manual_fx_override'\\\").fetchone()['c'] == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_fx' AND status='active'\\\").fetchone()['c'] == 0\\n\\n\\ndef test_market_price_dry_run_without_confirmed_mapping_does_not_call_provider() -> None:\\n conn = setup_conn()\\n result = refresh_market_prices(conn, provider=RaisingPriceProvider(), asset_class='etf', limit=3, dry_run=True)\\n assert result.total_mappings == 0\\n assert result.updated_count == 0\\n\\n\\ndef test_dashboard_review_ui_renders_without_live_api() -> None:\\n conn = setup_conn()\\n page_13_equity_manage.render(FakeSt(), conn)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_true_wealth_mapping_candidates_c3.py\"}"
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"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n candidates = sub.add_parser(\\\"generate-mapping-candidates\\\")\\n candidates.add_argument(\\\"--source\\\", default=\\\"true_wealth\\\")\\n candidates.add_argument(\\\"--limit\\\", type=int)\\n candidates.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\",\"old_string\":\" market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -60,6 +60,10 @@\\n market_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n market_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n+ candidates = sub.add_parser(\\\"generate-mapping-candidates\\\")\\n+ candidates.add_argument(\\\"--source\\\", default=\\\"true_wealth\\\")\\n+ candidates.add_argument(\\\"--limit\\\", type=int)\\n+ candidates.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n sub.add_parser(\\\"backup-runtime-db\\\")\\n restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" if args.command == \\\"generate-mapping-candidates\\\":\\n settings = load_settings()\\n ensure_runtime_dirs(settings)\\n conn = connect(settings.db_path)\\n try:\\n apply_migrations(conn)\\n result = generate_mapping_candidates(conn, provider=EmptyLookupProvider(), source=args.source, limit=args.limit, dry_run=args.dry_run)\\n print(\\n \\\"MAPPING_CANDIDATES \\\"\\n f\\\"instruments_total={result.instruments_total} candidates_found={result.candidates_found} \\\"\\n f\\\"high={result.high_confidence} medium={result.medium_confidence} low={result.low_confidence} \\\"\\n f\\\"instruments_without_candidate={result.instruments_without_candidate} \\\"\\n f\\\"hedge_unknown={result.instruments_with_hedge_unknown} instrument_status_unknown={result.instruments_with_status_unknown} \\\"\\n f\\\"provider_lookup_unavailable={result.provider_lookup_unavailable} ambiguous={result.ambiguous_provider_mapping} \\\"\\n f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n )\\n return 0\\n finally:\\n conn.close()\\n if args.command == \\\"check-data-quality\\\":\",\"old_string\":\" if args.command == \\\"check-data-quality\\\":\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -188,6 +188,25 @@\\n return 1 if result.error_count else 0\\n finally:\\n conn.close()\\n+ if args.command == \\\"generate-mapping-candidates\\\":\\n+ settings = load_settings()\\n+ ensure_runtime_dirs(settings)\\n+ conn = connect(settings.db_path)\\n+ try:\\n+ apply_migrations(conn)\\n+ result = generate_mapping_candidates(conn, provider=EmptyLookupProvider(), source=args.source, limit=args.limit, dry_run=args.dry_run)\\n+ print(\\n+ \\\"MAPPING_CANDIDATES \\\"\\n+ f\\\"instruments_total={result.instruments_total} candidates_found={result.candidates_found} \\\"\\n+ f\\\"high={result.high_confidence} medium={result.medium_confidence} low={result.low_confidence} \\\"\\n+ f\\\"instruments_without_candidate={result.instruments_without_candidate} \\\"\\n+ f\\\"hedge_unknown={result.instruments_with_hedge_unknown} instrument_status_unknown={result.instruments_with_status_unknown} \\\"\\n+ f\\\"provider_lookup_unavailable={result.provider_lookup_unavailable} ambiguous={result.ambiguous_provider_mapping} \\\"\\n+ f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n+ )\\n+ return 0\\n+ finally:\\n+ conn.close()\\n if args.command == \\\"check-data-quality\\\":\\n settings = load_settings()\\n ensure_runtime_dirs(settings)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"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\\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()]\\ncands=conn.execute(\\\"SELECT confidence, COUNT(*) AS c FROM instrument_price_mapping_candidates GROUP BY confidence\\\").fetchall()\\nconf=Counter({r['confidence']: r['c'] for r in cands})\\nwithout=0\\nfor inst in ids:\\n if not conn.execute(\\\"SELECT 1 FROM instrument_price_mapping_candidates WHERE instrument_id=? LIMIT 1\\\", (inst,)).fetchone():\\n without+=1\\nhedge=Counter(conn.execute(\\\"SELECT hedge_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['hedge_status'] for inst in ids)\\nstatus=Counter(conn.execute(\\\"SELECT instrument_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['instrument_status'] for inst in ids)\\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()})\\nfx=Counter({(r['currency_original'], r['trade_date']): r['c'] for r in conn.execute(\\\"SELECT currency_original, trade_date, COUNT(*) AS c FROM transactions WHERE transaction_type='initial_position_snapshot' AND source_type='broker_import_reviewed_snapshot' AND COALESCE(is_voided,0)=0 AND currency_original IS NOT NULL AND currency_original<>'CHF' GROUP BY currency_original, trade_date\\\").fetchall()})\\nprint('INSTRUMENTS_TOTAL', len(ids))\\nprint('CANDIDATES_TOTAL', sum(conf.values()))\\nprint('CANDIDATES_CONF', ' '.join(f'{k}={v}' for k,v in sorted(conf.items())) or 'none')\\nprint('WITHOUT_CANDIDATE', without)\\nprint('HEDGE', ' '.join(f'{k}={v}' for k,v in sorted(hedge.items())))\\nprint('INSTRUMENT_STATUS', ' '.join(f'{k}={v}' for k,v in sorted(status.items())))\\nprint('FX_PAIRS_REQUIRED', len(fx))\\nprint('ALERTS', ' '.join(f'{k}={v}' for k,v in sorted(alerts.items())))\\nconn.close()\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"Instrument has no provider symbol for local market-price updates.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"], \\\"ticker\\\": inst[\\\"ticker\\\"], \\\"provider\\\": provider}, fingerprint=\\\"missing_provider_symbol\\\")\",\"old_string\":\" create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"Instrument has no provider symbol for local market-price updates.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"], \\\"ticker\\\": inst[\\\"ticker\\\"], \\\"provider\\\": provider}, fingerprint=f\\\"missing_provider_symbol:{provider}\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/mappings.py\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/mappings.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/mappings.py\\n@@ -118,7 +118,7 @@\\n if not inst[\\\"provider_symbol\\\"]:\\n status = \\\"missing_provider_symbol\\\"\\n flags.append(\\\"missing_provider_symbol\\\")\\n- create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"Instrument has no provider symbol for local market-price updates.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"], \\\"ticker\\\": inst[\\\"ticker\\\"], \\\"provider\\\": provider}, fingerprint=f\\\"missing_provider_symbol:{provider}\\\")\\n+ create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"Instrument has no provider symbol for local market-price updates.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"], \\\"ticker\\\": inst[\\\"ticker\\\"], \\\"provider\\\": provider}, fingerprint=\\\"missing_provider_symbol\\\")\\n if inst[\\\"ticker\\\"] and not inst[\\\"exchange\\\"]:\\n flags.append(\\\"ticker_without_exchange\\\")\\n create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"ambiguous_instrument_mapping\\\", message=\\\"Instrument ticker has no exchange; market-data mapping needs manual review.\\\", evidence={\\\"isin\\\": inst[\\\"isin\\\"], \\\"ticker\\\": inst[\\\"ticker\\\"], \\\"provider\\\": provider}, fingerprint=f\\\"ambiguous_instrument_mapping:{provider}\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/mappings.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"No provider-symbol candidate found; manual mapping required.\\\", evidence={\\\"source\\\": source, \\\"provider\\\": getattr(lookup, \\\"name\\\", \\\"manual\\\")}, fingerprint=\\\"missing_provider_symbol\\\")\",\"old_string\":\" create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"No provider-symbol candidate found; manual mapping required.\\\", evidence={\\\"source\\\": source, \\\"provider\\\": getattr(lookup, \\\"name\\\", \\\"manual\\\")}, fingerprint=f\\\"missing_provider_symbol:{getattr(lookup, 'name', 'manual')}\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py\\n@@ -185,7 +185,7 @@\\n if not candidates:\\n result.instruments_without_candidate += 1\\n if not dry_run:\\n- create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"No provider-symbol candidate found; manual mapping required.\\\", evidence={\\\"source\\\": source, \\\"provider\\\": getattr(lookup, \\\"name\\\", \\\"manual\\\")}, fingerprint=f\\\"missing_provider_symbol:{getattr(lookup, 'name', 'manual')}\\\")\\n+ create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"missing_provider_symbol\\\", message=\\\"No provider-symbol candidate found; manual mapping required.\\\", evidence={\\\"source\\\": source, \\\"provider\\\": getattr(lookup, \\\"name\\\", \\\"manual\\\")}, fingerprint=\\\"missing_provider_symbol\\\")\\n continue\\n if len(candidates) > 1:\\n result.ambiguous_provider_mapping += 1\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/candidates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"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\\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()]\\nconf=Counter({r['confidence']: r['c'] for r in conn.execute(\\\"SELECT confidence, COUNT(*) AS c FROM instrument_price_mapping_candidates GROUP BY confidence\\\").fetchall()})\\nwithout=sum(1 for inst in ids if not conn.execute(\\\"SELECT 1 FROM instrument_price_mapping_candidates WHERE instrument_id=? LIMIT 1\\\", (inst,)).fetchone())\\nhedge=Counter(conn.execute(\\\"SELECT hedge_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['hedge_status'] for inst in ids)\\nstatus=Counter(conn.execute(\\\"SELECT instrument_status FROM instruments WHERE instrument_id=?\\\", (inst,)).fetchone()['instrument_status'] for inst in ids)\\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()})\\nfx=Counter({(r['currency_original'], r['trade_date']): r['c'] for r in conn.execute(\\\"SELECT currency_original, trade_date, COUNT(*) AS c FROM transactions WHERE transaction_type='initial_position_snapshot' AND source_type='broker_import_reviewed_snapshot' AND COALESCE(is_voided,0)=0 AND currency_original IS NOT NULL AND currency_original<>'CHF' GROUP BY currency_original, trade_date\\\").fetchall()})\\nprint('INSTRUMENTS_TOTAL', len(ids))\\nprint('CANDIDATES_TOTAL', sum(conf.values()))\\nprint('CANDIDATES_CONF', ' '.join(f'{k}={v}' for k,v in sorted(conf.items())) or 'none')\\nprint('WITHOUT_CANDIDATE', without)\\nprint('HEDGE', ' '.join(f'{k}={v}' for k,v in sorted(hedge.items())))\\nprint('INSTRUMENT_STATUS', ' '.join(f'{k}={v}' for k,v in sorted(status.items())))\\nprint('FX_PAIRS_REQUIRED', len(fx))\\nprint('ALERTS', ' '.join(f'{k}={v}' for k,v in sorted(alerts.items())))\\nconn.close()\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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},
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"reasoning": "**Running tests and checks**\n\nI need to address that the runtime generated no candidates due to an empty provider situation. This means I should run full checks to compile with pytest and ensure everything's safe. Although, I must remember to remove the cache after running pytest to avoid any issues. It seems like a bit of extra work, but getting this right is worth it for a smooth process!",
"finish_reason": "tool_calls",
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"content": "Sir, Phase C3 ist umgesetzt, produktiv vorsichtig geprüft, committed und gepusht.\n\n## Ergebnis\n\n**Commit:** `6febde0` — `Add True Wealth mapping candidate review` \n**Push:** erfolgreich nach `origin/main` \n**Git-Safety:** `GIT_SAFETY_OK` \n**Git Status:** clean \n**Tests:** `189 passed`\n\nKeine weiteren Portfolio-Imports. Keine produktiven Preisabrufe. Keine FX-Werte gesetzt. Keine echten Mengen, Preise, Werte oder Kontostände im Chat.\n\n## Implementierte Module\n\n- Mapping-Candidate-Generator:\n - neue Runtime-Tabelle `instrument_price_mapping_candidates`\n - Candidate-Felder inkl. Provider, Symbol, Exchange, Currency, Name, Hedge-Kandidat, Instrument-Status, Confidence, Evidence, Review-Status\n - ISIN-Match stärker als Name/Ticker\n - Name-only bleibt review-pflichtig\n - mehrere Kandidaten → `needs_manual_review` + Alert\n - kein Kandidat → `missing_provider_symbol` bleibt aktiv\n - Provider-Lookup-Fehler → `provider_lookup_unavailable`, kein Crash\n - keine automatische finale Auswahl\n\n- Mapping Review Service:\n - Kandidat auswählen\n - Mapping bestätigen\n - Audit-Log schreiben\n - `missing_provider_symbol` / `ambiguous_provider_mapping` resolven\n - Instrument-Metadaten optional übernehmen, aber nur bei bestätigter Auswahl\n\n- Hedge-/Instrument-Status Review:\n - CHF-hedged Candidate-Erkennung vorbereitet\n - Candidate bleibt `proposed`, bis manuell bestätigt\n - `hedge_status_unknown` bleibt aktiv, solange nicht bestätigt\n - `instrument_status_unknown` Alert ergänzt\n\n- FX Override Review vorbereitet:\n - Währungspaar + Datum + Rate + Pflichtnotiz\n - Audit-Log\n - Resolve passender FX-Alerts\n - keine FX-Werte produktiv gesetzt\n\n- Dashboard:\n - Equity/ETF Manage Review-Tab erweitert:\n - Instrument Price Mapping Review\n - Kandidatenliste\n - Kandidat bestätigen\n - FX Override Review\n - Render erfolgt lokal aus DB, keine Live-API\n\n- Data Quality Center:\n - ergänzt um:\n - `provider_lookup_unavailable`\n - `ambiguous_provider_mapping`\n - `instrument_status_unknown`\n - `manual FX override required`\n - Links/Aktionsbuttons für Mapping Review, FX Override Review, Provider Lookup Recheck vorbereitet\n\n- CLI:\n - `finance generate-mapping-candidates --source true_wealth --limit 3`\n - aggregate-only Output\n\n## Neue/geänderte Dateien\n\nNeu:\n- `src/jarvis_finance/market_data/candidates.py`\n- `tests/unit/test_true_wealth_mapping_candidates_c3.py`\n\nGeändert:\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/cli/main.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_13_equity_manage.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `src/jarvis_finance/market_data/instruments.py`\n- `src/jarvis_finance/market_data/mappings.py`\n- `tests/unit/test_schema.py`\n\n## Tests ergänzt\n\nAbgedeckt:\n\n- ISIN-Match erzeugt Candidate\n- Name-only Candidate bleibt review-pflichtig\n- mehrere Candidates → `needs_manual_review`\n- kein Candidate → `missing_provider_symbol`\n- Hedge unknown Alert\n- CHF-hedged Candidate bleibt `proposed`\n- Instrument-Status unknown Alert\n- Provider-Lookup-Fehler crasht nicht\n- Mapping-Auswahl schreibt Audit\n- Mapping-Auswahl resolved `missing_provider_symbol`\n- FX Override braucht Notiz\n- FX Override resolved `missing_fx`\n- Market-Price Dry Run ohne bestätigtes Mapping ruft Provider nicht auf\n- Dashboard Review UI rendert ohne Live-API\n\n## Produktiver vorsichtiger Runtime-Lauf\n\nAusgeführt:\n\n- Candidate Generation für die 3 True-Wealth-Instrumente\n- Market-Price Dry Run\n- keine finale Mapping-Auswahl\n- keine Preise produktiv abgerufen\n- keine FX-Werte gesetzt\n- keine weiteren Imports\n\nAggregierter Stand:\n\n- Instrumente total: `3`\n- Kandidaten gefunden: `0`\n- Kandidaten high: `0`\n- Kandidaten medium: `0`\n- Kandidaten low: `0`\n- Instrumente ohne Kandidat: `3`\n- Instrumente mit Hedge unknown: `3`\n- Instrumente mit Instrument-Status unknown: `3`\n- Mapping-Aktionen produktiv durchgeführt: nein, nur Candidate-/Alert-Review-Struktur\n- FX-Paare benötigt: `1`\n- Produktiver Market-Price-Abruf: nein\n- Market-Price Dry Run:\n - confirmed mappings: `0`\n - updated: `0`\n - warnings: `0`\n - errors: `0`\n\nDa kein freigegebener Lookup/API-Key bzw. keine belastbare öffentliche Quelle konfiguriert war, wurde korrekt **nichts geraten**. Ein System, das nicht halluziniert — fast schon unmodern.\n\n## Data-Quality-Status aggregiert nachher\n\nAktive Alerts:\n\n- `missing_provider_symbol`: `3`\n- `hedge_status_unknown`: `3`\n- `instrument_status_unknown`: `3`\n- `missing_fx`: `3`\n- `missing_market_price`: `3`\n- `snapshot_only`: `3`\n- `cost_basis_uncertain`: `3`\n\nAlert-Dedupe ist sauber: keine neue Missing-Provider-Symbol-Flut.\n\n## Nächste Empfehlung\n\nAls nächster kontrollierter Schritt:\n\n1. Für die 3 True-Wealth-Instrumente manuell Provider-Symbol-Kandidaten erfassen oder eine freigegebene Lookup-Quelle/API konfigurieren.\n2. Pro Instrument Hedge-Status und Instrument-Status bestätigen.\n3. Danach nur für bestätigte Mappings gezielt:\n - `update-market-prices --only-isin --dry-run`\n - anschließend, nach Freigabe, produktiv.\n4. Historische FX-Rates weiterhin nur mit bestätigter Quelle/Notiz manuell setzen oder über freigegebenen Provider abrufen.",
"reasoning": "**Summarizing requirements**\n\nI'm thinking about finalizing the German details. I need to ensure there are no specific values mentioned and state that there are zero candidates due to no lookups or guessing. I should include references to files and tests, specifically noting 189. It might be good to mention that the git status is clean, and I could clarify this with a commit line indicating cleanliness. Finally, I need to confirm that there's no sensitive information included.",
"finish_reason": "stop",
"reasoning_content": "**Summarizing requirements**\n\nI'm thinking about finalizing the German details. I need to ensure there are no specific values mentioned and state that there are zero candidates due to no lookups or guessing. I should include references to files and tests, specifically noting 189. It might be good to mention that the git status is clean, and I could clarify this with a commit line indicating cleanliness. Finally, I need to confirm that there's no sensitive information included.",
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"text": "**Summarizing requirements**\n\nI'm thinking about finalizing the German details. I need to ensure there are no specific values mentioned and state that there are zero candidates due to no lookups or guessing. I should include references to files and tests, specifically noting 189. It might be good to mention that the git status is clean, and I could clarify this with a commit line indicating cleanliness. Finally, I need to confirm that there's no sensitive information included."
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"text": "Sir, Phase C3 ist umgesetzt, produktiv vorsichtig geprüft, committed und gepusht.\n\n## Ergebnis\n\n**Commit:** `6febde0` — `Add True Wealth mapping candidate review` \n**Push:** erfolgreich nach `origin/main` \n**Git-Safety:** `GIT_SAFETY_OK` \n**Git Status:** clean \n**Tests:** `189 passed`\n\nKeine weiteren Portfolio-Imports. Keine produktiven Preisabrufe. Keine FX-Werte gesetzt. Keine echten Mengen, Preise, Werte oder Kontostände im Chat.\n\n## Implementierte Module\n\n- Mapping-Candidate-Generator:\n - neue Runtime-Tabelle `instrument_price_mapping_candidates`\n - Candidate-Felder inkl. Provider, Symbol, Exchange, Currency, Name, Hedge-Kandidat, Instrument-Status, Confidence, Evidence, Review-Status\n - ISIN-Match stärker als Name/Ticker\n - Name-only bleibt review-pflichtig\n - mehrere Kandidaten → `needs_manual_review` + Alert\n - kein Kandidat → `missing_provider_symbol` bleibt aktiv\n - Provider-Lookup-Fehler → `provider_lookup_unavailable`, kein Crash\n - keine automatische finale Auswahl\n\n- Mapping Review Service:\n - Kandidat auswählen\n - Mapping bestätigen\n - Audit-Log schreiben\n - `missing_provider_symbol` / `ambiguous_provider_mapping` resolven\n - Instrument-Metadaten optional übernehmen, aber nur bei bestätigter Auswahl\n\n- Hedge-/Instrument-Status Review:\n - CHF-hedged Candidate-Erkennung vorbereitet\n - Candidate bleibt `proposed`, bis manuell bestätigt\n - `hedge_status_unknown` bleibt aktiv, solange nicht bestätigt\n - `instrument_status_unknown` Alert ergänzt\n\n- FX Override Review vorbereitet:\n - Währungspaar + Datum + Rate + Pflichtnotiz\n - Audit-Log\n - Resolve passender FX-Alerts\n - keine FX-Werte produktiv gesetzt\n\n- Dashboard:\n - Equity/ETF Manage Review-Tab erweitert:\n - Instrument Price Mapping Review\n - Kandidatenliste\n - Kandidat bestätigen\n - FX Override Review\n - Render erfolgt lokal aus DB, keine Live-API\n\n- Data Quality Center:\n - ergänzt um:\n - `provider_lookup_unavailable`\n - `ambiguous_provider_mapping`\n - `instrument_status_unknown`\n - `manual FX override required`\n - Links/Aktionsbuttons für Mapping Review, FX Override Review, Provider Lookup Recheck vorbereitet\n\n- CLI:\n - `finance generate-mapping-candidates --source true_wealth --limit 3`\n - aggregate-only Output\n\n## Neue/geänderte Dateien\n\nNeu:\n- `src/jarvis_finance/market_data/candidates.py`\n- `tests/unit/test_true_wealth_mapping_candidates_c3.py`\n\nGeändert:\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/cli/main.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_13_equity_manage.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `src/jarvis_finance/market_data/instruments.py`\n- `src/jarvis_finance/market_data/mappings.py`\n- `tests/unit/test_schema.py`\n\n## Tests ergänzt\n\nAbgedeckt:\n\n- ISIN-Match erzeugt Candidate\n- Name-only Candidate bleibt review-pflichtig\n- mehrere Candidates → `needs_manual_review`\n- kein Candidate → `missing_provider_symbol`\n- Hedge unknown Alert\n- CHF-hedged Candidate bleibt `proposed`\n- Instrument-Status unknown Alert\n- Provider-Lookup-Fehler crasht nicht\n- Mapping-Auswahl schreibt Audit\n- Mapping-Auswahl resolved `missing_provider_symbol`\n- FX Override braucht Notiz\n- FX Override resolved `missing_fx`\n- Market-Price Dry Run ohne bestätigtes Mapping ruft Provider nicht auf\n- Dashboard Review UI rendert ohne Live-API\n\n## Produktiver vorsichtiger Runtime-Lauf\n\nAusgeführt:\n\n- Candidate Generation für die 3 True-Wealth-Instrumente\n- Market-Price Dry Run\n- keine finale Mapping-Auswahl\n- keine Preise produktiv abgerufen\n- keine FX-Werte gesetzt\n- keine weiteren Imports\n\nAggregierter Stand:\n\n- Instrumente total: `3`\n- Kandidaten gefunden: `0`\n- Kandidaten high: `0`\n- Kandidaten medium: `0`\n- Kandidaten low: `0`\n- Instrumente ohne Kandidat: `3`\n- Instrumente mit Hedge unknown: `3`\n- Instrumente mit Instrument-Status unknown: `3`\n- Mapping-Aktionen produktiv durchgeführt: nein, nur Candidate-/Alert-Review-Struktur\n- FX-Paare benötigt: `1`\n- Produktiver Market-Price-Abruf: nein\n- Market-Price Dry Run:\n - confirmed mappings: `0`\n - updated: `0`\n - warnings: `0`\n - errors: `0`\n\nDa kein freigegebener Lookup/API-Key bzw. keine belastbare öffentliche Quelle konfiguriert war, wurde korrekt **nichts geraten**. Ein System, das nicht halluziniert — fast schon unmodern.\n\n## Data-Quality-Status aggregiert nachher\n\nAktive Alerts:\n\n- `missing_provider_symbol`: `3`\n- `hedge_status_unknown`: `3`\n- `instrument_status_unknown`: `3`\n- `missing_fx`: `3`\n- `missing_market_price`: `3`\n- `snapshot_only`: `3`\n- `cost_basis_uncertain`: `3`\n\nAlert-Dedupe ist sauber: keine neue Missing-Provider-Symbol-Flut.\n\n## Nächste Empfehlung\n\nAls nächster kontrollierter Schritt:\n\n1. Für die 3 True-Wealth-Instrumente manuell Provider-Symbol-Kandidaten erfassen oder eine freigegebene Lookup-Quelle/API konfigurieren.\n2. Pro Instrument Hedge-Status und Instrument-Status bestätigen.\n3. Danach nur für bestätigte Mappings gezielt:\n - `update-market-prices --only-isin --dry-run`\n - anschließend, nach Freigabe, produktiv.\n4. Historische FX-Rates weiterhin nur mit bestätigter Quelle/Notiz manuell setzen oder über freigegebenen Provider abrufen."
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