{
"session_id": "20260515_125616_c4705b",
"model": "gpt-5.5",
"base_url": "https://chatgpt.com/backend-api/codex",
"platform": "telegram",
"session_start": "2026-05-15T09:42:16.586070",
"last_updated": "2026-05-15T13:26:15.564623",
"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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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 12:56 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": 256,
"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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"reasoning": "**Planning runtime migration**\n\nI need to apply a runtime migration and build an execution plan carefully. I'll write the script without printing values. A snapshot date needs to be parsed, and I might compile it later. First, I need to use python-docx, and I'll utilize Decimal for parsing.\n\nWhen identifying table rows by ISIN, quantities appear first as numeric labels. I plan to normalize text by removing currency symbols while ensuring to store strings accurately. I also need to compute a unique source row hash from the row text and prepare a summary JSON payload.\n**Building transaction schema**\n\nI need to clarify a few points for US ETFs in USD. I see that the detected currency is CHF, which might indicate the market currency, while the source price is in USD. It's essential to establish the planned transaction fields, using trade_date instead of snapshot_date. \n\nFor initial_position_snapshot, I might include gross_amount_original if the source provides it. However, I've realized that transaction details include gross_amount_chf and may need to address the contradictory \"fx_status missing.\" I’ll keep price_original in USD and gross_amount_chf in CHF, while ensuring cost is noted as missing.\n**Setting up import process**\n\nThe user mentioned \"imported\" or \"completed,\" and I see existing filters do not include \"imported,\" but I can set that up. It seems like the schema might not have any constraints, which is good. \n\nI need to ensure there's an import execution log that includes execution plans, the execution status, and auditing. A backup command could be necessary — I’ll need to check if it can come after step B6a. I should look into the CLI backup and verify the command syntax since I previously used backup-runtime-db output.",
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"id": "rs_0c76e56576ffc0fb016a06f332a4b08191a872dd66c5fcd85a",
"summary": [
{
"type": "summary_text",
"text": "**Planning runtime migration**\n\nI need to apply a runtime migration and build an execution plan carefully. I'll write the script without printing values. A snapshot date needs to be parsed, and I might compile it later. First, I need to use python-docx, and I'll utilize Decimal for parsing.\n\nWhen identifying table rows by ISIN, quantities appear first as numeric labels. I plan to normalize text by removing currency symbols while ensuring to store strings accurately. I also need to compute a unique source row hash from the row text and prepare a summary JSON payload."
},
{
"type": "summary_text",
"text": "**Building transaction schema**\n\nI need to clarify a few points for US ETFs in USD. I see that the detected currency is CHF, which might indicate the market currency, while the source price is in USD. It's essential to establish the planned transaction fields, using trade_date instead of snapshot_date. \n\nFor initial_position_snapshot, I might include gross_amount_original if the source provides it. However, I've realized that transaction details include gross_amount_chf and may need to address the contradictory \"fx_status missing.\" I’ll keep price_original in USD and gross_amount_chf in CHF, while ensuring cost is noted as missing."
},
{
"type": "summary_text",
"text": "**Setting up import process**\n\nThe user mentioned \"imported\" or \"completed,\" and I see existing filters do not include \"imported,\" but I can set that up. It seems like the schema might not have any constraints, which is good. \n\nI need to ensure there's an import execution log that includes execution plans, the execution status, and auditing. A backup command could be necessary — I’ll need to check if it can come after step B6a. I should look into the CLI backup and verify the command syntax since I previously used backup-runtime-db output."
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"reasoning": "**Confirming backup process**\n\nI realize I need to back up my files with a reliable command. It seems the code has changed with the migration, so I might need to commit those changes later. I should look for a backup command to ensure everything is safe. Also, I want to verify if the backup CLI has options or help commands that can guide me through this process effectively. Let’s make sure I’m covered!",
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},
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"reasoning_content": "**Investigating position discrepancies**\n\nIt looks like the page is getting positions from a snapshot that it likely won't recognize since there’s no direct snapshot available. The user mentions that positions from the ledger are calculable, and the dashboard page seems to recognize these imported positions. I think the current page is using get_positions, but it might not be connected to the ledger. I need to inspect the data from get_positions to clarify this situation.",
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"content": "Phase B6 ist abgeschlossen, Sir — in zwei kontrollierten Teilphasen, wie befohlen.\n\n## Gesamtstatus\n\n- B6a finaler Trockenlauf: **abgeschlossen**\n- B6b produktiver Mini-Import: **abgeschlossen**\n- Produktiv importierte Positionen: **genau 1**\n- Neue produktive Transaktionen: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Ledger-Massenimport: **nein**\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Tests: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `48562fe`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\n---\n\n## B6a — Import Execution Plan / finaler Trockenlauf\n\n### Preflight\n\nGeprüft:\n\n- Git Status clean vor Start: **ja**\n- Git-Safety OK: **ja**\n- Runtime-DB außerhalb Repo: **ja**\n- letztes Backup vorhanden: **ja**\n- echte Dateien im Repo: **0**\n- True-Wealth-Datei nur aus Runtime-Kontext gelesen: **ja**\n- Datei nicht ins Repo kopiert: **ja**\n- 3 True-Wealth Items mit `ready_for_import`: **ja**\n- Account Mapping vorhanden: **ja**\n- Instrument Mapping vorhanden: **ja**\n- Snapshot Date bestätigt: **ja**\n\n### Execution-Plan-Struktur\n\nNeu vorbereitet:\n\n- Tabelle: `broker_import_execution_plans`\n- Migration: `007_broker_import_execution_plans`\n- Schema-Version: `7`\n\nFelder enthalten u.a.:\n\n- execution plan ID\n- dry run ID\n- review item ID\n- source platform\n- target account\n- target instrument\n- transaction type\n- snapshot date\n- payload status\n- payload quality flags\n- source row hash\n- runtime-only planned write summary\n- execution status\n- linked transaction ID nach Import\n\n### Payload-Ergebnis\n\nFür die 3 True-Wealth `ready_for_import` Items:\n\n- ready Review Items geprüft: **3**\n- Import Payloads ready: **3**\n- Import Payloads blocked: **0**\n- Items mit fehlendem FX: **3**\n- Items mit `cost_basis_uncertain`: **3**\n- Items mit fehlender Quantity: **0**\n- Items mit fehlendem Account Mapping: **0**\n- Items mit fehlendem Instrument Mapping: **0**\n\nBewertung:\n\n- Technischer Mini-Import war vertretbar.\n- Qualität ist aber bewusst als unvollständig/warning markiert:\n - historische FX nicht explizit vorhanden\n - Cost Basis nicht sauber vorhanden\n - keine Scheingenauigkeit erzeugt\n - kein verstecktes Ableiten von Cost Basis aus Marktwert\n\nSehr unromantisch. Genau richtig.\n\n---\n\n## B6b — Produktiver Mini-Import von genau 1 Position\n\n### Backup\n\nVor dem produktiven Mini-Import ausgeführt:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Checksum OK: **ja**\n- Speicherort: **Runtime-Backup-Ordner**\n\n### Import\n\nDurchgeführt:\n\n- Mini-Import durchgeführt: **ja**\n- Anzahl produktiv importierte Positionen: **1**\n- Anzahl neue Transaktionen: **1**\n- Transaktionstyp: `initial_position_snapshot`\n- Quelle: reviewed True-Wealth execution plan\n- `source_type`: `broker_import_reviewed_snapshot`\n- Re-Import-Schutz über source/execution plan/row hash: **ja**\n- Audit-Log Pflicht erfüllt: **ja**\n- Execution-Log Pflicht erfüllt: **ja**\n- Keine weiteren Payloads importiert: **ja**\n\nNicht durchgeführt:\n\n- kein direkter `positions_snapshot` Write\n- kein Cash-Snapshot\n- keine Ledger-Massenänderung\n- keine anderen True-Wealth-Items importiert\n- keine PostFinance-/Raiffeisen-Imports\n\n### Runtime Status nach Import\n\nExecution Plans:\n\n- imported: **1**\n- planned / ready: **2**\n\nTrue Wealth Review Items:\n\n- imported + ready_for_import: **1**\n- resolved + ready_for_import: **2**\n- open + not_ready: **14**\n- open + review_needed: **1**\n\nProduktive Tabellen:\n\n- `transactions`: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\nAudit:\n\n- Import-spezifische Audit Events: **2**\n- Zusätzlich bestehen die Review-/Mapping-Audits aus B5 und Plan-Audits aus B6a.\n\n---\n\n## Nachkontrolle\n\n### Ledger / Position\n\nGeprüft:\n\n- genau 1 neue produktive Transaktion: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- account mapping korrekt vorhanden: **ja**\n- instrument mapping korrekt vorhanden: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan auf imported gesetzt: **ja**\n- Position aus Ledger berechenbar: **ja**\n- Dashboard-Positionserkennung aus Ledger: **ja**\n- direkte Snapshot-Wahrheit nicht geschrieben: **ja**\n\n### Andere ready Items\n\n- andere 2 ready Items unverändert importierbar: **ja**\n- nicht importiert: **ja**\n- kein Massenimport: **ja**\n\n### Data Quality\n\nWarnings erwartungsgemäß:\n\n- Missing FX / unvollständige FX-Historie\n- Cost Basis unsicher\n- Market-/Performance-Präzision eingeschränkt\n\nDas ist fachlich korrekt: Die Position existiert nun im Ledger als Initial Snapshot, aber Performance-/Cost-Basis-Auswertungen müssen vorsichtig bleiben.\n\n### Dashboard-Prüfung\n\nGeprüft ohne Werteausgabe:\n\n- Portfolio/Equity-Seite erkennt importierte Ledger-Position: **ja**\n- Import Wizard / Execution Status korrekt: **ja**\n- Manual Review Queue zeigt importiertes Item korrekt: **ja**\n- Data Quality Center zeigt relevante Hinweise: **ja**\n- Audit-Seite enthält Importhistorie: **ja**\n\n---\n\n## Codeänderungen\n\nGeändert:\n\n- `src/jarvis_finance/storage/migrations.py`\n- `tests/unit/test_schema.py`\n\nNeu:\n\n- Migration `007_broker_import_execution_plans`\n- Tabelle `broker_import_execution_plans`\n- Schema-Test für Execution-Plan-Tabelle\n\nCommit:\n\n- `48562fe` — `feat: add broker import execution plans`\n\nPush:\n\n- **success**\n- Remote HEAD: `48562fe`\n\nTests / Safety:\n\n- Compile: **OK**\n- pytest: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n\n---\n\n## B6a Bericht kurz\n\n- Payloads geprüft: **3**\n- Payloads ready: **3**\n- Payloads blocked: **0**\n- relevante Quality Flags:\n - missing FX: **3**\n - cost_basis_uncertain: **3**\n- technische Importfähigkeit: **ja, für Mini-Import geeignet**\n\n## B6b Bericht kurz\n\n- Mini-Import durchgeführt: **ja**\n- produktiv importierte Positionen: **1**\n- neue Transaktionen: **1**\n- Audit-Logs: **vorhanden**\n- importiertes Review Item Status: **imported**\n- andere ready Items unverändert: **ja**\n- Data Quality Warnings: **ja, erwartungsgemäß**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Git-Safety: **OK**\n- Git Status: **clean**\n\n## Empfehlung\n\nEin nächster Mini-Import wäre **vertretbar**, aber weiterhin nur einzeln:\n\n1. jeweils genau 1 weiteres ready True-Wealth Item\n2. vorher Backup\n3. nachher Audit-/Execution-/Ledger-Check\n4. keine Massenübernahme, bis FX-/Cost-Basis-Qualität besser modelliert ist\n\nKurz: Der erste echte Aktien-/ETF-Ledger-Import ist gelandet. Nicht glamourös, aber auditierbar, reversibel nachvollziehbar und ohne dass das System heimlich ein Depot-Märchen schreibt.",
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"text": "Phase B6 ist abgeschlossen, Sir — in zwei kontrollierten Teilphasen, wie befohlen.\n\n## Gesamtstatus\n\n- B6a finaler Trockenlauf: **abgeschlossen**\n- B6b produktiver Mini-Import: **abgeschlossen**\n- Produktiv importierte Positionen: **genau 1**\n- Neue produktive Transaktionen: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Ledger-Massenimport: **nein**\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Tests: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `48562fe`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\n---\n\n## B6a — Import Execution Plan / finaler Trockenlauf\n\n### Preflight\n\nGeprüft:\n\n- Git Status clean vor Start: **ja**\n- Git-Safety OK: **ja**\n- Runtime-DB außerhalb Repo: **ja**\n- letztes Backup vorhanden: **ja**\n- echte Dateien im Repo: **0**\n- True-Wealth-Datei nur aus Runtime-Kontext gelesen: **ja**\n- Datei nicht ins Repo kopiert: **ja**\n- 3 True-Wealth Items mit `ready_for_import`: **ja**\n- Account Mapping vorhanden: **ja**\n- Instrument Mapping vorhanden: **ja**\n- Snapshot Date bestätigt: **ja**\n\n### Execution-Plan-Struktur\n\nNeu vorbereitet:\n\n- Tabelle: `broker_import_execution_plans`\n- Migration: `007_broker_import_execution_plans`\n- Schema-Version: `7`\n\nFelder enthalten u.a.:\n\n- execution plan ID\n- dry run ID\n- review item ID\n- source platform\n- target account\n- target instrument\n- transaction type\n- snapshot date\n- payload status\n- payload quality flags\n- source row hash\n- runtime-only planned write summary\n- execution status\n- linked transaction ID nach Import\n\n### Payload-Ergebnis\n\nFür die 3 True-Wealth `ready_for_import` Items:\n\n- ready Review Items geprüft: **3**\n- Import Payloads ready: **3**\n- Import Payloads blocked: **0**\n- Items mit fehlendem FX: **3**\n- Items mit `cost_basis_uncertain`: **3**\n- Items mit fehlender Quantity: **0**\n- Items mit fehlendem Account Mapping: **0**\n- Items mit fehlendem Instrument Mapping: **0**\n\nBewertung:\n\n- Technischer Mini-Import war vertretbar.\n- Qualität ist aber bewusst als unvollständig/warning markiert:\n - historische FX nicht explizit vorhanden\n - Cost Basis nicht sauber vorhanden\n - keine Scheingenauigkeit erzeugt\n - kein verstecktes Ableiten von Cost Basis aus Marktwert\n\nSehr unromantisch. Genau richtig.\n\n---\n\n## B6b — Produktiver Mini-Import von genau 1 Position\n\n### Backup\n\nVor dem produktiven Mini-Import ausgeführt:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Checksum OK: **ja**\n- Speicherort: **Runtime-Backup-Ordner**\n\n### Import\n\nDurchgeführt:\n\n- Mini-Import durchgeführt: **ja**\n- Anzahl produktiv importierte Positionen: **1**\n- Anzahl neue Transaktionen: **1**\n- Transaktionstyp: `initial_position_snapshot`\n- Quelle: reviewed True-Wealth execution plan\n- `source_type`: `broker_import_reviewed_snapshot`\n- Re-Import-Schutz über source/execution plan/row hash: **ja**\n- Audit-Log Pflicht erfüllt: **ja**\n- Execution-Log Pflicht erfüllt: **ja**\n- Keine weiteren Payloads importiert: **ja**\n\nNicht durchgeführt:\n\n- kein direkter `positions_snapshot` Write\n- kein Cash-Snapshot\n- keine Ledger-Massenänderung\n- keine anderen True-Wealth-Items importiert\n- keine PostFinance-/Raiffeisen-Imports\n\n### Runtime Status nach Import\n\nExecution Plans:\n\n- imported: **1**\n- planned / ready: **2**\n\nTrue Wealth Review Items:\n\n- imported + ready_for_import: **1**\n- resolved + ready_for_import: **2**\n- open + not_ready: **14**\n- open + review_needed: **1**\n\nProduktive Tabellen:\n\n- `transactions`: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\nAudit:\n\n- Import-spezifische Audit Events: **2**\n- Zusätzlich bestehen die Review-/Mapping-Audits aus B5 und Plan-Audits aus B6a.\n\n---\n\n## Nachkontrolle\n\n### Ledger / Position\n\nGeprüft:\n\n- genau 1 neue produktive Transaktion: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- account mapping korrekt vorhanden: **ja**\n- instrument mapping korrekt vorhanden: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan auf imported gesetzt: **ja**\n- Position aus Ledger berechenbar: **ja**\n- Dashboard-Positionserkennung aus Ledger: **ja**\n- direkte Snapshot-Wahrheit nicht geschrieben: **ja**\n\n### Andere ready Items\n\n- andere 2 ready Items unverändert importierbar: **ja**\n- nicht importiert: **ja**\n- kein Massenimport: **ja**\n\n### Data Quality\n\nWarnings erwartungsgemäß:\n\n- Missing FX / unvollständige FX-Historie\n- Cost Basis unsicher\n- Market-/Performance-Präzision eingeschränkt\n\nDas ist fachlich korrekt: Die Position existiert nun im Ledger als Initial Snapshot, aber Performance-/Cost-Basis-Auswertungen müssen vorsichtig bleiben.\n\n### Dashboard-Prüfung\n\nGeprüft ohne Werteausgabe:\n\n- Portfolio/Equity-Seite erkennt importierte Ledger-Position: **ja**\n- Import Wizard / Execution Status korrekt: **ja**\n- Manual Review Queue zeigt importiertes Item korrekt: **ja**\n- Data Quality Center zeigt relevante Hinweise: **ja**\n- Audit-Seite enthält Importhistorie: **ja**\n\n---\n\n## Codeänderungen\n\nGeändert:\n\n- `src/jarvis_finance/storage/migrations.py`\n- `tests/unit/test_schema.py`\n\nNeu:\n\n- Migration `007_broker_import_execution_plans`\n- Tabelle `broker_import_execution_plans`\n- Schema-Test für Execution-Plan-Tabelle\n\nCommit:\n\n- `48562fe` — `feat: add broker import execution plans`\n\nPush:\n\n- **success**\n- Remote HEAD: `48562fe`\n\nTests / Safety:\n\n- Compile: **OK**\n- pytest: **155 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n\n---\n\n## B6a Bericht kurz\n\n- Payloads geprüft: **3**\n- Payloads ready: **3**\n- Payloads blocked: **0**\n- relevante Quality Flags:\n - missing FX: **3**\n - cost_basis_uncertain: **3**\n- technische Importfähigkeit: **ja, für Mini-Import geeignet**\n\n## B6b Bericht kurz\n\n- Mini-Import durchgeführt: **ja**\n- produktiv importierte Positionen: **1**\n- neue Transaktionen: **1**\n- Audit-Logs: **vorhanden**\n- importiertes Review Item Status: **imported**\n- andere ready Items unverändert: **ja**\n- Data Quality Warnings: **ja, erwartungsgemäß**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Git-Safety: **OK**\n- Git Status: **clean**\n\n## Empfehlung\n\nEin nächster Mini-Import wäre **vertretbar**, aber weiterhin nur einzeln:\n\n1. jeweils genau 1 weiteres ready True-Wealth Item\n2. vorher Backup\n3. nachher Audit-/Execution-/Ledger-Check\n4. keine Massenübernahme, bis FX-/Cost-Basis-Qualität besser modelliert ist\n\nKurz: Der erste echte Aktien-/ETF-Ledger-Import ist gelandet. Nicht glamourös, aber auditierbar, reversibel nachvollziehbar und ohne dass das System heimlich ein Depot-Märchen schreibt."
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"content": "[M G] Sehr gut. Phase B6 ist akzeptiert.\n\nDer erste echte Aktien-/ETF-Ledger-Import ist korrekt kontrolliert erfolgt:\n\n* B6a finaler Trockenlauf abgeschlossen\n* B6b produktiver Mini-Import von genau 1 Position abgeschlossen\n* Backup vor Import erzeugt und verifiziert\n* genau 1 neue produktive Transaktion\n* transaction_type = initial_position_snapshot\n* kein direkter positions_snapshot Write\n* keine Cash-Snapshots\n* keine Ledger-Massenänderung\n* Audit vorhanden\n* Execution Plan vorhanden\n* Dashboard erkennt die Position\n* Data Quality zeigt erwartete Warnings\n* Git-Safety OK\n* Tests OK\n* keine echten Daten im Git\n\nDas ist ein wichtiger Meilenstein.\n\nBitte jetzt nicht direkt Massenimport durchführen.\n\nDer nächste Schritt soll eine kleine Kontroll-/Härtungsphase sein:\n\n# Phase B6c — Mini-Import Regression, Reconciliation und Safe Correction\n\nZiel:\nNach dem ersten produktiven Aktien-/ETF-Initial-Snapshot prüfen wir, ob Import, Ledger, Dashboard, Data Quality und Korrekturprozess robust genug sind, bevor weitere Positionen importiert werden.\n\n## 1. Import Regression Check\n\nBitte prüfe den gerade importierten Mini-Import nochmals aggregiert, ohne echte Mengen/Werte im Chat:\n\n* genau 1 produktive Transaktion aus B6b vorhanden\n* transaction_type = initial_position_snapshot\n* source_type = broker_import_reviewed_snapshot\n* linked execution_plan_id vorhanden\n* linked review_item_id vorhanden\n* instrument_id vorhanden\n* account_id vorhanden\n* quantity vorhanden und Decimal-parsebar\n* keine Float-Konvertierung\n* quality_status korrekt warning/incomplete, falls FX/Cost Basis fehlen\n* Audit-Log vorhanden\n* Execution Plan Status = imported\n* Review Item Status = imported\n* Re-Import derselben Execution Plan ID wird blockiert\n* Re-Import derselben Row Hash wird blockiert\n\n## 2. Position Calculation Check\n\nBitte prüfen:\n\n* Position kann aus Ledger berechnet werden\n* berechnete Position erscheint auf Portfolio/Equity-Seite\n* Data Quality Flags werden angezeigt:\n\n * missing FX\n * cost_basis_uncertain\n * snapshot_only\n* keine Scheingenauigkeit bei Total Return\n* Marktwert/Performance wird nicht präzise behauptet, wenn Daten fehlen\n\nKeine echten Werte/Mengen im Chat.\n\n## 3. Safe Correction / Reversal vorbereiten\n\nBitte implementiere oder vorbereite einen sicheren Korrekturprozess für falsch importierte Initial Snapshots.\n\nWichtig:\nNicht still löschen.\n\nVorschlag:\n\nA. void_transaction\n\n* Markiert eine Transaktion als storniert/voided.\n* Schreibt Audit-Log.\n* Erfordert Notiz.\n* Entfernt die Transaktion nicht aus der DB.\n* Positionenberechnung ignoriert voided Transaktionen oder markiert sie entsprechend.\n\nB. correction_transaction\n\n* Für korrigierte Initial Snapshots wird eine neue Korrekturtransaktion angelegt.\n* Alte Transaktion bleibt historisch sichtbar.\n* Audit-Log verknüpft alte und neue Transaktion.\n\nWenn vollständige Implementierung zu groß ist, bitte mindestens:\n\n* Datenmodell-/Statusfeld vorbereiten\n* Service-Funktion für void/storno\n* Tests mit synthetischen Daten\n\nRegeln:\n\n* Kein physisches Löschen produktiver Transaktionen.\n* Notiz Pflicht.\n* Audit-Log Pflicht.\n* Keine stillen Bestandsänderungen.\n* Data Quality Hinweis, wenn ein Import storniert wurde.\n\n## 4. Backup/Restore Regression\n\nBitte zusätzlich prüfen:\n\n* Backup nach Mini-Import kann erzeugt werden\n* verify-backup funktioniert\n* Restore auf Test-DB funktioniert\n* Restore verändert nicht versehentlich produktive DB\n* Git-Safety bleibt OK\n\n## 5. Optional: zweiter Mini-Import erst nach Regression\n\nWenn Punkte 1–4 sauber sind, importiere noch genau 1 weiteres der zwei remaining True-Wealth-ready Items.\n\nBedingungen:\n\n* vorher Backup\n* genau 1 Position\n* keine Massenübernahme\n* Audit und Execution Plan\n* andere ready Items unverändert\n* keine echten Werte/Mengen im Chat\n* Git-Safety danach OK\n\nFalls du B6c-Korrekturprozess zuerst implementieren musst, bitte danach erst den zweiten Mini-Import durchführen.\n\n## 6. Tests\n\nBitte Tests ergänzen für:\n\n* Re-Import derselben execution_plan_id wird blockiert\n* Re-Import derselben row_hash wird blockiert\n* void/storno braucht\nNotiz\n* void/storno schreibt Audit\n* voided transaction wird nicht als aktive Position gezählt oder korrekt markiert\n* correction transaction erzeugt Audit\n* Initial Snapshot mit missing FX bleibt warning/incomplete\n* Portfolio-Berechnung zeigt keine Scheingenauigkeit\n* Backup nach Import\n* Restore auf Test-DB\n* Git-Safety OK\n\n## 7. Nach Abschluss\n\nBitte ausführen:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nWenn Code geändert wurde:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nBitte berichten:\n\n* Regression Check bestanden: ja/nein\n* Re-Import-Schutz bestätigt: ja/nein\n* Safe Correction / Void vorbereitet oder implementiert: ja/nein\n* Backup/Restore Regression bestanden: ja/nein\n* zweiter Mini-Import durchgeführt: ja/nein\n* Anzahl produktive True-Wealth-Initial-Snapshot-Transaktionen nachher\n* Anzahl remaining ready_for_import Items\n* Data Quality Warnings\n* Tests\n* Git-Safety\n* Commit Hash\n* Push Status\n* nächste Empfehlung\n\nBitte weiterhin keine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte ausgeben."
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nimport json\\nimport uuid\\nfrom dataclasses import dataclass\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.imports.common import utc_now\\n\\n\\n@dataclass(frozen=True)\\nclass ExecutionImportResult:\\n transaction_id: str\\n imported: bool\\n\\n\\ndef execute_initial_snapshot_plan(conn: Connection, *, execution_plan_id: str, note: str, created_by: str = \\\"system\\\") -> ExecutionImportResult:\\n if not note.strip():\\n raise ValueError(\\\"execution import requires a note\\\")\\n plan = conn.execute(\\\"SELECT * FROM broker_import_execution_plans WHERE execution_plan_id=?\\\", (execution_plan_id,)).fetchone()\\n if plan is None:\\n raise ValueError(f\\\"execution plan not found: {execution_plan_id}\\\")\\n if plan[\\\"payload_status\\\"] != \\\"ready\\\":\\n raise ValueError(f\\\"execution plan is not ready: {execution_plan_id}\\\")\\n if plan[\\\"execution_status\\\"] == \\\"imported\\\" or plan[\\\"transaction_id\\\"]:\\n raise ValueError(f\\\"execution plan already imported: {execution_plan_id}\\\")\\n existing = conn.execute(\\n \\\"\\\"\\\"\\n SELECT transaction_id FROM transactions\\n WHERE source_type='broker_import_reviewed_snapshot'\\n AND (source_id=? OR external_transaction_id=? OR row_hash=?)\\n LIMIT 1\\n \\\"\\\"\\\",\\n (plan[\\\"execution_plan_id\\\"], plan[\\\"execution_plan_id\\\"], plan[\\\"source_row_hash\\\"]),\\n ).fetchone()\\n if existing:\\n raise ValueError(\\\"execution plan or source row hash already imported\\\")\\n payload = json.loads(plan[\\\"planned_write_summary_json\\\"] or \\\"{}\\\")\\n required = [\\\"account_id\\\", \\\"instrument_id\\\", \\\"trade_date\\\", \\\"quantity\\\", \\\"currency_original\\\"]\\n missing = [key for key in required if not payload.get(key)]\\n if missing:\\n raise ValueError(\\\"execution payload missing required fields: \\\" + \\\", \\\".join(missing))\\n tx_id = \\\"tx-\\\" + str(uuid.uuid4())\\n now = utc_now()\\n quality = \\\"warning\\\" if (payload.get(\\\"fx_status\\\") == \\\"missing\\\" or \\\"cost_basis_uncertain\\\" in (plan[\\\"payload_quality_flags_json\\\"] or \\\"\\\")) else \\\"ok\\\"\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO transactions(\\n transaction_id, transaction_type, account_id, instrument_id, trade_date, settlement_date,\\n quantity, price_original, gross_amount_original, fee_original, tax_original, net_amount_original,\\n currency_original, fx_rate_to_chf, fx_source, fx_status, gross_amount_chf, fee_chf, tax_chf, net_amount_chf,\\n source_type, source_id, external_transaction_id, row_hash, is_confirmed, quality_status, notes, created_at, updated_at\\n ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)\\n \\\"\\\"\\\",\\n (\\n tx_id, \\\"initial_position_snapshot\\\", payload[\\\"account_id\\\"], payload[\\\"instrument_id\\\"], payload[\\\"trade_date\\\"], payload[\\\"trade_date\\\"],\\n payload[\\\"quantity\\\"], payload.get(\\\"price_original\\\"), None, None, None, None,\\n payload.get(\\\"currency_original\\\"), payload.get(\\\"fx_rate_to_chf\\\"), payload.get(\\\"fx_source\\\") or \\\"missing_in_source\\\", payload.get(\\\"fx_status\\\", \\\"missing\\\"), payload.get(\\\"gross_amount_chf\\\"), None, None, None,\\n \\\"broker_import_reviewed_snapshot\\\", plan[\\\"execution_plan_id\\\"], plan[\\\"execution_plan_id\\\"], plan[\\\"source_row_hash\\\"], 1, quality,\\n note, now, now,\\n ),\\n )\\n conn.execute(\\n \\\"UPDATE broker_import_execution_plans SET execution_status='imported', transaction_id=?, executed_at=?, updated_at=?, notes=? WHERE execution_plan_id=?\\\",\\n (tx_id, now, now, note, execution_plan_id),\\n )\\n conn.execute(\\n \\\"UPDATE broker_import_review_items SET review_status='imported', reviewer_note=?, updated_at=? WHERE review_item_id=?\\\",\\n (note, now, plan[\\\"review_item_id\\\"]),\\n )\\n record_audit_event(\\n conn,\\n source=\\\"broker_import_execution_plan\\\",\\n action=\\\"execute_mini_import\\\",\\n entity_type=\\\"transaction\\\",\\n entity_id=tx_id,\\n old_values={},\\n new_values={\\\"execution_plan_id\\\": execution_plan_id, \\\"review_item_id\\\": plan[\\\"review_item_id\\\"], \\\"transaction_type\\\": \\\"initial_position_snapshot\\\", \\\"quality_status\\\": quality},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n record_audit_event(\\n conn,\\n source=\\\"manual_review_queue\\\",\\n action=\\\"mark_review_item_imported\\\",\\n entity_type=\\\"broker_import_review_item\\\",\\n entity_id=plan[\\\"review_item_id\\\"],\\n old_values={\\\"review_status\\\": \\\"resolved\\\"},\\n new_values={\\\"review_status\\\": \\\"imported\\\", \\\"transaction_id\\\": tx_id},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n conn.commit()\\n return ExecutionImportResult(transaction_id=tx_id, imported=True)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/execution.py\"}"
}
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],
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"content": "{\"bytes_written\": 4729, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_RF1BjAmTQtNnnOaxmriCrOgF"
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"content": "",
"tool_calls": [
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"call_id": "call_OzYhfPbIF3gYUHTNgrXduDWy",
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"type": "function",
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"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" assert get_schema_version(conn) == 8\",\"old_string\":\" assert get_schema_version(conn) == 7\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Generating tests and helpers**\n\nI'm focusing on generating tests and setup helpers. It's important to ensure that the source row hash is checked for duplicates and that schema tests are in place as well. This will help maintain data integrity and functionality. So, I need to outline what specific tests are needed and how to set up those helpers. Having a solid testing foundation will really make things easier moving forward!",
"reasoning_content": "**Generating tests and helpers**\n\nI'm focusing on generating tests and setup helpers. It's important to ensure that the source row hash is checked for duplicates and that schema tests are in place as well. This will help maintain data integrity and functionality. So, I need to outline what specific tests are needed and how to set up those helpers. Having a solid testing foundation will really make things easier moving forward!",
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"id": "rs_0c76e56576ffc0fb016a06f94b91888191838938fc5804763b",
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{
"type": "summary_text",
"text": "**Generating tests and helpers**\n\nI'm focusing on generating tests and setup helpers. It's important to ensure that the source row hash is checked for duplicates and that schema tests are in place as well. This will help maintain data integrity and functionality. So, I need to outline what specific tests are needed and how to set up those helpers. Having a solid testing foundation will really make things easier moving forward!"
}
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}
]
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -15,7 +15,7 @@\\n def test_schema_version_recorded() -> None:\\n conn = connect_memory()\\n apply_migrations(conn)\\n- assert get_schema_version(conn) == 7\\n+ assert get_schema_version(conn) == 8\\n \\n \\n def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n transaction_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n assert {\\\"is_voided\\\", \\\"voided_at\\\", \\\"void_reason\\\", \\\"voided_by\\\", \\\"correction_of_transaction_id\\\", \\\"correction_reason\\\"}.issubset(transaction_cols)\\n\",\"old_string\":\" execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}"
}
}
],
"finish_reason": "tool_calls"
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{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -44,3 +44,5 @@\\n assert {\\\"review_item_id\\\", \\\"dry_run_id\\\", \\\"source_platform\\\", \\\"source_row_ref\\\", \\\"row_hash\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"detected_asset_class\\\", \\\"detected_currency\\\", \\\"quality_flags_json\\\", \\\"review_status\\\", \\\"import_readiness_status\\\", \\\"reviewer_confirmed\\\", \\\"snapshot_date_confirmed\\\", \\\"ticker_exchange_confirmed\\\", \\\"account_mapping_status\\\"}.issubset(review_cols)\\n execution_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_execution_plans)\\\").fetchall()}\\n assert {\\\"execution_plan_id\\\", \\\"dry_run_id\\\", \\\"review_item_id\\\", \\\"source_platform\\\", \\\"target_account_id\\\", \\\"target_instrument_id\\\", \\\"transaction_type\\\", \\\"snapshot_date\\\", \\\"payload_status\\\", \\\"payload_quality_flags_json\\\", \\\"source_row_hash\\\", \\\"planned_write_summary_json\\\", \\\"execution_status\\\", \\\"transaction_id\\\"}.issubset(execution_cols)\\n+ transaction_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n+ assert {\\\"is_voided\\\", \\\"voided_at\\\", \\\"void_reason\\\", \\\"voided_by\\\", \\\"correction_of_transaction_id\\\", \\\"correction_reason\\\"}.issubset(transaction_cols)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"call_id": "call_VAQiPV8IlwJ2lhsst2JbKEt7",
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"name": "write_file",
"arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\",\"content\":\"from __future__ import annotations\\n\\nimport json\\nfrom decimal import Decimal\\n\\nimport pytest\\n\\nfrom jarvis_finance.imports.execution import execute_initial_snapshot_plan\\nfrom jarvis_finance.ledger.corrections import record_correction_audit, void_transaction\\nfrom jarvis_finance.ledger.positions import calculate_positions\\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','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','Synthetic TW','brokerage','CHF','now')\\\")\\n conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i1','ETF','Synthetic ETF','SETF','CH0000000001','USD','now')\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_dry_runs(\\n dry_run_id, source_platform, source_file_type, detected_sections_json, quality_flags_json, created_at\\n ) VALUES('dry1','True Wealth','docx','{}','[]','now')\\n \\\"\\\"\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_review_items(\\n review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref, row_hash,\\n mapped_account_id, mapped_instrument_id, detected_quantity_present, quality_flags_json,\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev1','dry1','True Wealth','docx','row-1','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n payload = {\\n \\\"account_id\\\": \\\"a1\\\",\\n \\\"instrument_id\\\": \\\"i1\\\",\\n \\\"trade_date\\\": \\\"2025-12-31\\\",\\n \\\"quantity\\\": \\\"1.234500\\\",\\n \\\"currency_original\\\": \\\"USD\\\",\\n \\\"fx_status\\\": \\\"missing\\\",\\n }\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan1','dry1','rev1','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready',?, 'hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps([\\\"missing_fx\\\", \\\"cost_basis_uncertain\\\", \\\"snapshot_only\\\"]), json.dumps(payload)))\\n return conn\\n\\n\\ndef test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n assert result.imported is True\\n tx = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()\\n assert tx[\\\"source_id\\\"] == \\\"plan1\\\"\\n assert tx[\\\"row_hash\\\"] == \\\"hash-1\\\"\\n assert tx[\\\"quality_status\\\"] == \\\"warning\\\"\\n assert Decimal(str(tx[\\\"quantity\\\"])) == Decimal(\\\"1.234500\\\")\\n\\n with pytest.raises(ValueError, match=\\\"already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"retry same plan\\\")\\n\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_review_items(\\n review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref, row_hash,\\n mapped_account_id, mapped_instrument_id, detected_quantity_present, quality_flags_json,\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev2','dry1','True Wealth','docx','row-1-copy','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\n with pytest.raises(ValueError, match=\\\"row hash already imported|source row hash already imported|already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan2\\\", note=\\\"retry same row\\\")\\n\\n\\ndef test_void_transaction_requires_note_audits_and_excludes_from_position() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n assert calculate_positions(conn).positions[(\\\"a1\\\", \\\"i1\\\")].quantity == Decimal(\\\"1.234500\\\")\\n\\n with pytest.raises(ValueError, match=\\\"note\\\"):\\n void_transaction(conn, transaction_id=result.transaction_id, note=\\\"\\\")\\n\\n audit_id = void_transaction(conn, transaction_id=result.transaction_id, note=\\\"wrong source row\\\")\\n assert audit_id\\n assert conn.execute(\\\"SELECT is_voided FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()[\\\"is_voided\\\"] == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='void_transaction'\\\").fetchone()[\\\"n\\\"] == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id='voided_transaction'\\\").fetchone()[\\\"n\\\"] == 1\\n assert (\\\"a1\\\", \\\"i1\\\") not in calculate_positions(conn).positions\\n\\n\\ndef test_correction_transaction_creates_audit_link() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, notes, created_at)\\n VALUES('tx-correction','initial_position_snapshot','a1','i1','2025-12-31','1.000000','USD','missing','manual_correction',1,'warning','synthetic correction','now')\\n \\\"\\\"\\\")\\n audit_id = record_correction_audit(conn, old_transaction_id=result.transaction_id, new_transaction_id=\\\"tx-correction\\\", note=\\\"replace initial snapshot\\\")\\n assert audit_id\\n row = conn.execute(\\\"SELECT correction_of_transaction_id FROM transactions WHERE transaction_id='tx-correction'\\\").fetchone()\\n assert row[\\\"correction_of_transaction_id\\\"] == result.transaction_id\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='correction_transaction'\\\").fetchone()[\\\"n\\\"] == 1\\n\\n\\ndef test_missing_fx_initial_snapshot_stays_incomplete_without_fake_total_return() -> None:\\n conn = setup_conn()\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n pos = calculate_positions(conn).positions[(\\\"a1\\\", \\\"i1\\\")]\\n assert pos.data_quality_status == \\\"incomplete\\\"\\n assert \\\"missing_fx\\\" in pos.quality_warnings\\n assert \\\"missing_market_price\\\" in pos.quality_warnings\\n assert pos.total_return_chf is None\\n\"}"
}
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"arguments": "{\"mode\":\"replace\",\"old_string\":\"def test_restore_runtime_db_requires_yes_and_restores_test_db(tmp_path: Path) -> None:\\n repo = tmp_path / \\\"repo\\\"\\n repo.mkdir()\\n runtime = tmp_path / \\\"runtime\\\"\\n db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n _seed_db(db, marker=\\\"before\\\")\\n backup = backup_runtime_db(db_path=db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n\\n conn = connect(db)\\n conn.execute(\\\"DELETE FROM crypto_assets\\\")\\n conn.commit()\\n conn.close()\\n\\n with pytest.raises(PermissionError):\\n restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=False)\\n\\n result = restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=True)\\n assert result.verified is True\\n conn = connect(db)\\n count = conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n conn.close()\\n assert count == 1\\n\",\"new_string\":\"def test_restore_runtime_db_requires_yes_and_restores_test_db(tmp_path: Path) -> None:\\n repo = tmp_path / \\\"repo\\\"\\n repo.mkdir()\\n runtime = tmp_path / \\\"runtime\\\"\\n db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n _seed_db(db, marker=\\\"before\\\")\\n backup = backup_runtime_db(db_path=db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n\\n conn = connect(db)\\n conn.execute(\\\"DELETE FROM crypto_assets\\\")\\n conn.commit()\\n conn.close()\\n\\n with pytest.raises(PermissionError):\\n restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=False)\\n\\n result = restore_runtime_db(backup_file=backup.backup_file, db_path=db, repo_root=repo, yes=True)\\n assert result.verified is True\\n conn = connect(db)\\n count = conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n conn.close()\\n assert count == 1\\n\\n\\ndef test_restore_backup_to_separate_test_db_does_not_modify_productive_db(tmp_path: Path) -> None:\\n repo = tmp_path / \\\"repo\\\"\\n repo.mkdir()\\n runtime = tmp_path / \\\"runtime\\\"\\n productive_db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n restore_db = runtime / \\\"restore-tests\\\" / \\\"finance-restored.sqlite3\\\"\\n _seed_db(productive_db, marker=\\\"prod\\\")\\n backup = backup_runtime_db(db_path=productive_db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n\\n conn = connect(productive_db)\\n create_crypto_asset(conn, coin_name=\\\"Synthetic After Backup\\\", symbol=\\\"AFTER\\\", coingecko_id=\\\"synthetic-after\\\")\\n conn.close()\\n\\n result = restore_runtime_db(backup_file=backup.backup_file, db_path=restore_db, repo_root=repo, yes=True)\\n assert result.restored_to == restore_db.resolve()\\n\\n prod_conn = connect(productive_db)\\n restored_conn = connect(restore_db)\\n prod_count = prod_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n restored_count = restored_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n prod_conn.close()\\n restored_conn.close()\\n assert prod_count == 2\\n assert restored_count == 1\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\"}"
}
}
],
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"reasoning": "**Evaluating message handling**\n\nI'm considering whether I need to duplicate the message, since it seems like regex might not be matching correctly. I think it's important to check this out further. Maybe I'll back up the test just to be safe and add a restore mechanism to my test path. This way, if anything goes wrong, I can easily revert back and see what the issue might be. Let's keep it thorough!",
"reasoning_content": "**Evaluating message handling**\n\nI'm considering whether I need to duplicate the message, since it seems like regex might not be matching correctly. I think it's important to check this out further. Maybe I'll back up the test just to be safe and add a restore mechanism to my test path. This way, if anything goes wrong, I can easily revert back and see what the issue might be. Let's keep it thorough!",
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{
"type": "summary_text",
"text": "**Evaluating message handling**\n\nI'm considering whether I need to duplicate the message, since it seems like regex might not be matching correctly. I think it's important to check this out further. Maybe I'll back up the test just to be safe and add a restore mechanism to my test path. This way, if anything goes wrong, I can easily revert back and see what the issue might be. Let's keep it thorough!"
}
]
}
]
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\\n@@ -76,6 +76,32 @@\\n assert count == 1\\n \\n \\n+def test_restore_backup_to_separate_test_db_does_not_modify_productive_db(tmp_path: Path) -> None:\\n+ repo = tmp_path / \\\"repo\\\"\\n+ repo.mkdir()\\n+ runtime = tmp_path / \\\"runtime\\\"\\n+ productive_db = runtime / \\\"data\\\" / \\\"finance.sqlite3\\\"\\n+ restore_db = runtime / \\\"restore-tests\\\" / \\\"finance-restored.sqlite3\\\"\\n+ _seed_db(productive_db, marker=\\\"prod\\\")\\n+ backup = backup_runtime_db(db_path=productive_db, backups_dir=runtime / \\\"backups\\\", repo_root=repo)\\n+\\n+ conn = connect(productive_db)\\n+ create_crypto_asset(conn, coin_name=\\\"Synthetic After Backup\\\", symbol=\\\"AFTER\\\", coingecko_id=\\\"synthetic-after\\\")\\n+ conn.close()\\n+\\n+ result = restore_runtime_db(backup_file=backup.backup_file, db_path=restore_db, repo_root=repo, yes=True)\\n+ assert result.restored_to == restore_db.resolve()\\n+\\n+ prod_conn = connect(productive_db)\\n+ restored_conn = connect(restore_db)\\n+ prod_count = prod_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n+ restored_count = restored_conn.execute(\\\"SELECT COUNT(*) AS n FROM crypto_assets\\\").fetchone()[\\\"n\\\"]\\n+ prod_conn.close()\\n+ restored_conn.close()\\n+ assert prod_count == 2\\n+ assert restored_count == 1\\n+\\n+\\n def test_backup_cli_verify_and_restore(monkeypatch, tmp_path: Path, capsys) -> None:\\n runtime = tmp_path / \\\"runtime\\\"\\n monkeypatch.setenv(\\\"JARVIS_FINANCE_RUNTIME_DIR\\\", str(runtime))\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_runtime_backup.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src pytest -q tests/unit/test_schema.py tests/unit/test_import_execution_and_corrections.py tests/unit/test_runtime_backup.py tests/unit/test_ledger_cash_wac_positions.py\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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"reasoning": "**Running tests and updates**\n\nI need to run some tests and also think about updating the REQUIRED_TABLES. I'm considering whether the broker_execution table is really necessary. It exists, but maybe it's not required? I guess it's fine to keep it for now. I’ll target the tests I want to run to make sure everything works as expected. It feels a little complex, but I’ll sort it out step by step!",
"reasoning_content": "**Running tests and updates**\n\nI need to run some tests and also think about updating the REQUIRED_TABLES. I'm considering whether the broker_execution table is really necessary. It exists, but maybe it's not required? I guess it's fine to keep it for now. I’ll target the tests I want to run to make sure everything works as expected. It feels a little complex, but I’ll sort it out step by step!",
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{
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}
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},
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"content": "{\"output\": \"....F................ [100%]\\n=================================== FAILURES ===================================\\n____ test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash _____\\n\\n def test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash() -> None:\\n conn = setup_conn()\\n result = execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"synthetic reviewed import\\\")\\n assert result.imported is True\\n tx = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()\\n assert tx[\\\"source_id\\\"] == \\\"plan1\\\"\\n assert tx[\\\"row_hash\\\"] == \\\"hash-1\\\"\\n assert tx[\\\"quality_status\\\"] == \\\"warning\\\"\\n assert Decimal(str(tx[\\\"quantity\\\"])) == Decimal(\\\"1.234500\\\")\\n \\n with pytest.raises(ValueError, match=\\\"already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan1\\\", note=\\\"retry same plan\\\")\\n \\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_review_items(\\n review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref, row_hash,\\n mapped_account_id, mapped_instrument_id, detected_quantity_present, quality_flags_json,\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev2','dry1','True Wealth','docx','row-1-copy','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n> conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\nE sqlite3.IntegrityError: UNIQUE constraint failed: broker_import_execution_plans.source_row_hash, broker_import_execution_plans.target_account_id, broker_import_execution_plans.target_instrument_id, broker_import_execution_plans.transaction_type\\n\\ntests/unit/test_import_execution_and_corrections.py:71: IntegrityError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_import_execution_and_corrections.py::test_execution_plan_import_blocks_same_execution_plan_id_and_row_hash\\n1 failed, 20 passed in 4.54s\", \"exit_code\": 1, \"error\": null}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i2','ETF','Synthetic ETF 2','SET2','CH0000000002','USD','now')\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i2','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i2\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\",\"old_string\":\" conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\\n@@ -68,13 +68,14 @@\\n review_status, import_readiness_status, reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed, account_mapping_status, created_at\\n ) VALUES('rev2','dry1','True Wealth','docx','row-1-copy','hash-1','a1','i1',1,'[]','resolved','ready_for_import',1,1,1,'selected','now')\\n \\\"\\\"\\\")\\n+ conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i2','ETF','Synthetic ETF 2','SET2','CH0000000002','USD','now')\\\")\\n conn.execute(\\\"\\\"\\\"\\n INSERT INTO broker_import_execution_plans(\\n execution_plan_id, dry_run_id, review_item_id, source_platform, target_account_id, target_instrument_id,\\n transaction_type, snapshot_date, payload_status, payload_quality_flags_json, source_row_hash,\\n planned_write_summary_json, execution_status, created_at\\n- ) VALUES('plan2','dry1','rev2','True Wealth','a1','i1','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n- \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i1\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\n+ ) VALUES('plan2','dry1','rev2','True Wealth','a1','i2','initial_position_snapshot','2025-12-31','ready','[]','hash-1', ?, 'planned','now')\\n+ \\\"\\\"\\\", (json.dumps({\\\"account_id\\\":\\\"a1\\\",\\\"instrument_id\\\":\\\"i2\\\",\\\"trade_date\\\":\\\"2025-12-31\\\",\\\"quantity\\\":\\\"2\\\",\\\"currency_original\\\":\\\"USD\\\",\\\"fx_status\\\":\\\"missing\\\"}),))\\n with pytest.raises(ValueError, match=\\\"row hash already imported|source row hash already imported|already imported\\\"):\\n execute_initial_snapshot_plan(conn, execution_plan_id=\\\"plan2\\\", note=\\\"retry same row\\\")\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_import_execution_and_corrections.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main backup-runtime-db > /tmp/b6c_second_backup_out.txt\\nPYTHONPATH=src python - <<'PY'\\nimport re, subprocess, json, os\\nfrom pathlib import Path\\ntext=Path('/tmp/b6c_second_backup_out.txt').read_text(); m=re.search(r'backup_file=([^\\\\s]+)', text)\\nif not m: raise SystemExit('backup_file not found')\\nbackup=Path(m.group(1)).resolve(); repo=Path('/home/agent/.hermes/repos/FinanceManager')\\nverify=subprocess.run(['python','-m','jarvis_finance.cli.main','verify-backup','--file',str(backup)], cwd=repo, env={**os.environ,'PYTHONPATH':'src'}, text=True, capture_output=True, check=True)\\nprint(json.dumps({'backup_created':backup.exists(), 'backup_verified':'checksum_ok=true' in verify.stdout, 'backup_dir':str(backup.parent)}, sort_keys=True))\\nPY\\nPYTHONPATH=src python - <<'PY'\\nimport json\\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.execution import execute_initial_snapshot_plan\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nbefore_tx=conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n']\\nplan=conn.execute(\\\"SELECT execution_plan_id FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned' ORDER BY created_at, execution_plan_id LIMIT 1\\\").fetchone()\\nif not plan:\\n raise SystemExit('no remaining planned ready payload')\\nresult=execute_initial_snapshot_plan(conn, execution_plan_id=plan['execution_plan_id'], note='B6c second controlled mini-import from reviewed True Wealth execution plan; no mass import.', created_by='phase_b6c')\\nafter_tx=conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n']\\nremaining=conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n']\\nprint(json.dumps({'second_mini_import_performed':result.imported, 'new_import_transactions_delta': after_tx-before_tx, 'total_tw_initial_snapshots': after_tx, 'remaining_ready_planned_payloads': remaining}, sort_keys=True))\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
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],
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"content": "{\"output\": \"{\\\"backup_created\\\": true, \\\"backup_dir\\\": \\\"/home/agent/jarvis_runtime/finance-system/backups\\\", \\\"backup_verified\\\": true}\\n{\\\"new_import_transactions_delta\\\": 1, \\\"remaining_ready_planned_payloads\\\": 1, \\\"second_mini_import_performed\\\": true, \\\"total_tw_initial_snapshots\\\": 2}\", \"exit_code\": 0, \"error\": null}",
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"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Optional zweiten Mini-Import genau 1 Item nach Regression durchführen\",\"id\":\"b6c-4\",\"status\":\"completed\"},{\"content\":\"Compile/pytest/Git-Safety/Git Status, commit+push bei Codeänderungen\",\"id\":\"b6c-5\",\"status\":\"in_progress\"}]}"
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"finish_reason": "tool_calls",
"reasoning": "**Checking data quality**\n\nI need to do some final checks to ensure everything is in order. I'll definitely consider data quality counts as an important factor. It’s essential that everything is accurately tested before finalizing the process. I want to make sure all aspects have gone through full testing to avoid any blunders later on. So, I'll approach this methodically and carefully — checking off each part as I go along!",
"reasoning_content": "**Checking data quality**\n\nI need to do some final checks to ensure everything is in order. I'll definitely consider data quality counts as an important factor. It’s essential that everything is accurately tested before finalizing the process. I want to make sure all aspects have gone through full testing to avoid any blunders later on. So, I'll approach this methodically and carefully — checking off each part as I go along!",
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"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom decimal import Decimal\\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\\nfrom jarvis_finance.dashboard import data as dashboard_data\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nrows=conn.execute(\\\"\\\"\\\"\\nSELECT t.transaction_id, t.transaction_type, t.source_type, t.source_id, t.row_hash, t.instrument_id, t.account_id, t.quantity, t.quality_status, t.fx_status,\\n ep.execution_plan_id, ep.review_item_id, ep.execution_status, ri.review_status\\nFROM transactions t\\nLEFT JOIN broker_import_execution_plans ep ON ep.execution_plan_id=t.source_id OR ep.transaction_id=t.transaction_id\\nLEFT JOIN broker_import_review_items ri ON ri.review_item_id=ep.review_item_id\\nWHERE t.source_type='broker_import_reviewed_snapshot' AND t.transaction_type='initial_position_snapshot'\\n\\\"\\\"\\\").fetchall()\\nparseable=0\\nfor r in rows:\\n Decimal(str(r['quantity'])); parseable += 1\\npositions=calculate_positions(conn)\\nposition_warnings=[]\\nfor pos in positions.positions.values():\\n position_warnings.extend(pos.quality_warnings)\\nalerts=conn.execute(\\\"SELECT rule_id, COUNT(*) n FROM alerts GROUP BY rule_id ORDER BY rule_id\\\").fetchall()\\nsummary={\\n 'tw_initial_snapshot_transactions': len(rows),\\n 'qty_decimal_parseable': parseable,\\n 'execution_imported': sum(1 for r in rows if r['execution_status']=='imported'),\\n 'review_imported': sum(1 for r in rows if r['review_status']=='imported'),\\n 'quality_warning_or_incomplete': sum(1 for r in rows if r['quality_status'] in ('warning','incomplete')),\\n 'positions_calculated': len(positions.positions),\\n 'dashboard_positions_count': len(dashboard_data.get_positions(conn)),\\n 'position_warning_rules': sorted(set(position_warnings)),\\n 'total_return_precise_count': sum(1 for p in positions.positions.values() if p.total_return_chf is not None),\\n 'open_alerts_by_rule': [dict(a) for a in alerts],\\n 'execution_status_counts': [dict(r) for r in conn.execute(\\\"SELECT execution_status, COUNT(*) n FROM broker_import_execution_plans GROUP BY execution_status ORDER BY execution_status\\\").fetchall()],\\n 'remaining_ready_planned_payloads': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n'],\\n 'audit_import_events': conn.execute(\\\"SELECT COUNT(*) n FROM audit_log WHERE action IN ('execute_mini_import','mark_review_item_imported')\\\").fetchone()['n'],\\n 'void_audit_events': conn.execute(\\\"SELECT COUNT(*) n FROM audit_log WHERE action='void_transaction'\\\").fetchone()['n'],\\n}\\nprint(json.dumps(summary, sort_keys=True))\\nPY\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"{\\\"audit_import_events\\\": 4, \\\"dashboard_positions_count\\\": 2, \\\"execution_imported\\\": 2, \\\"execution_status_counts\\\": [{\\\"execution_status\\\": \\\"imported\\\", \\\"n\\\": 2}, {\\\"execution_status\\\": \\\"planned\\\", \\\"n\\\": 1}], \\\"open_alerts_by_rule\\\": [{\\\"n\\\": 14, \\\"rule_id\\\": \\\"crypto_price_stale\\\"}, {\\\"n\\\": 2, \\\"rule_id\\\": \\\"missing_fx\\\"}, {\\\"n\\\": 2, \\\"rule_id\\\": \\\"missing_market_price\\\"}], \\\"position_warning_rules\\\": [\\\"missing_fx\\\", \\\"missing_market_price\\\"], \\\"positions_calculated\\\": 2, \\\"qty_decimal_parseable\\\": 2, \\\"quality_warning_or_incomplete\\\": 2, \\\"remaining_ready_planned_payloads\\\": 1, \\\"review_imported\\\": 2, \\\"total_return_precise_count\\\": 0, \\\"tw_initial_snapshot_transactions\\\": 2, \\\"void_audit_events\\\": 0}\\n........................................................................ [ 45%]\\n........................................................................ [ 90%]\\n................ [100%]\\n160 passed in 7.41s\\nGIT_SAFETY_OK\\n## main...origin/main\\n M src/jarvis_finance/ledger/cash.py\\n M src/jarvis_finance/ledger/positions.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_runtime_backup.py\\n M tests/unit/test_schema.py\\n?? src/jarvis_finance/imports/execution.py\\n?? src/jarvis_finance/ledger/corrections.py\\n?? tests/unit/test_import_execution_and_corrections.py\", \"exit_code\": 0, \"error\": null}",
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"tool_calls": [
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"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ngit add src/jarvis_finance/storage/migrations.py src/jarvis_finance/ledger/positions.py src/jarvis_finance/ledger/cash.py src/jarvis_finance/imports/execution.py src/jarvis_finance/ledger/corrections.py tests/unit/test_schema.py tests/unit/test_runtime_backup.py tests/unit/test_import_execution_and_corrections.py\\ngit commit -m \\\"feat: harden broker mini-import corrections\\\"\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
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"content": "{\"output\": \"[main 374fdd5] feat: harden broker mini-import corrections\\n 8 files changed, 365 insertions(+), 6 deletions(-)\\n create mode 100644 src/jarvis_finance/imports/execution.py\\n create mode 100644 src/jarvis_finance/ledger/corrections.py\\n create mode 100644 tests/unit/test_import_execution_and_corrections.py\\n........................................................................ [ 45%]\\n........................................................................ [ 90%]\\n................ [100%]\\n160 passed in 7.41s\\nGIT_SAFETY_OK\\n## main...origin/main [voraus 1]\", \"exit_code\": 0, \"error\": null}",
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"tool_calls": [
{
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"call_id": "call_zysnJJus1KLFasaLQDEmgFms",
"response_item_id": "fc_0c76e56576ffc0fb016a06fa2d92e081919e292f918a7a9007",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nimport re, subprocess, sys\\nfrom pathlib import Path\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ntext=Path('/home/agent/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv').read_text()\\nm=re.search(r'(github_pat_[A-Za-z0-9_]+|ghp_[A-Za-z0-9_]+|gho_[A-Za-z0-9_]+)', text)\\nif not m:\\n print('TOKEN_PARSE=failed'); sys.exit(12)\\ntoken=m.group(1); auth_url=f'https://{token}@github.com/Gamexgit/FinanceManager.git'\\ndef run(args, check=True): return subprocess.run(args, cwd=repo, text=True, capture_output=True, check=check)\\ntry:\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n local=run(['git','rev-parse','HEAD']).stdout.strip(); origin=run(['git','rev-parse','origin/main']).stdout.strip(); base=run(['git','merge-base','HEAD','origin/main']).stdout.strip()\\n print('REMOTE_BEFORE='+origin[:7]); print('LOCAL_HEAD='+local[:7])\\n if origin != base:\\n print('REMOTE_HAS_NEW_COMMITS=yes'); sys.exit(3)\\n push=run(['git','push',auth_url,'main:main'], check=False)\\n if push.returncode:\\n print('PUSH=failed'); print((push.stderr or push.stdout).replace(token,'[REDACTED]')[-1000:]); sys.exit(push.returncode)\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n print('PUSH=success'); print('REMOTE_AFTER='+run(['git','rev-parse','--short','origin/main']).stdout.strip())\\nfinally:\\n token=None; auth_url=None\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
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],
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{
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"content": "{\"output\": \"REMOTE_BEFORE=48562fe\\nLOCAL_HEAD=374fdd5\\nPUSH=success\\nREMOTE_AFTER=374fdd5\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}",
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{
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{
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"arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nprint(json.dumps({\\n 'schema_version': conn.execute('SELECT MAX(version) v FROM schema_migrations').fetchone()['v'],\\n 'tw_initial_snapshots': conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n'],\\n 'remaining_ready_planned': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n'],\\n 'review_imported': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_review_items WHERE source_platform='True Wealth' AND review_status='imported'\\\").fetchone()['n'],\\n 'positions_snapshot': conn.execute('SELECT COUNT(*) n FROM positions_snapshot').fetchone()['n'],\\n 'cash_balances': conn.execute('SELECT COUNT(*) n FROM cash_balances').fetchone()['n'],\\n 'alerts': [dict(r) for r in conn.execute('SELECT rule_id, COUNT(*) n FROM alerts GROUP BY rule_id ORDER BY rule_id').fetchall()],\\n}, sort_keys=True))\\nPY\\ngit rev-parse --short HEAD\\ngit status --short --branch\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
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"content": "Phase B6c ist abgeschlossen, Sir.\n\n## Kurzfazit\n\n- Regression Check bestanden: **ja**\n- Re-Import-Schutz bestätigt: **ja**\n- Safe Correction / Void implementiert: **ja**\n- Backup/Restore Regression bestanden: **ja**\n- Zweiter Mini-Import durchgeführt: **ja**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen nachher: **2**\n- Remaining ready planned True-Wealth Items: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `374fdd5`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\nKeine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte wurden ausgegeben.\n\n---\n\n## 1. Import Regression Check\n\nGeprüft für den bestehenden B6b Mini-Import:\n\n- genau 1 produktive Transaktion aus B6b initial vorhanden: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- linked `execution_plan_id` vorhanden: **ja**\n- linked `review_item_id` vorhanden: **ja**\n- `instrument_id` vorhanden: **ja**\n- `account_id` vorhanden: **ja**\n- `quantity` vorhanden: **ja**\n- `quantity` Decimal-parsebar: **ja**\n- keine Float-Konvertierung: **ja**\n- `quality_status` warning/incomplete bei fehlender FX/Cost Basis: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan Status: **imported**\n- Review Item Status: **imported**\n\nRe-Import-Schutz:\n\n- dieselbe `execution_plan_id` wird blockiert: **ja**\n- dieselbe `row_hash` wird blockiert: **ja**\n- zusätzliche Tests dafür ergänzt: **ja**\n\n---\n\n## 2. Position Calculation Check\n\nGeprüft:\n\n- Position kann aus Ledger berechnet werden: **ja**\n- berechnete Position erscheint auf Portfolio/Equity-Seite: **ja**\n- Dashboard/Equity erkennt Ledger-Positionen: **ja**\n- keine direkte Snapshot-Wahrheit geschrieben: **ja**\n- Total Return wird bei fehlender FX/Market Data nicht präzise behauptet: **ja**\n\nData Quality Flags nach B6c:\n\n- `missing_fx`: **2**\n- `missing_market_price`: **2**\n- `cost_basis_uncertain`: im Execution-Plan/Import-Payload geführt\n- `snapshot_only`: im Execution-Plan/Import-Payload geführt\n- alte Crypto-Preis-Warnings bestehen weiterhin: **14 stale crypto price Alerts**\n\nWichtig: Die Ledger-Positionen existieren, aber Performance/Total Return bleibt bewusst unvollständig. Kein finanzmathematisches Wunschdenken, how disappointing.\n\n---\n\n## 3. Safe Correction / Reversal\n\nImplementiert:\n\n### `void_transaction`\n\n- markiert Transaktion als voided/storniert\n- löscht **nicht** physisch\n- erfordert Notiz\n- schreibt Audit-Log\n- erzeugt Data-Quality Alert `voided_transaction`\n- Position-/Cash-Berechnung ignoriert `is_voided = 1`\n\nNeue Felder in `transactions`:\n\n- `is_voided`\n- `voided_at`\n- `void_reason`\n- `voided_by`\n- `correction_of_transaction_id`\n- `correction_reason`\n\n### `correction_transaction`\n\nVorbereitet über Audit-Link:\n\n- neue Korrekturtransaktion bleibt separat\n- alte Transaktion bleibt historisch sichtbar\n- neue Transaktion kann mit alter Transaktion verknüpft werden\n- Audit-Log Pflicht\n- Notiz Pflicht\n\nPhysisches Löschen produktiver Transaktionen: **nicht erlaubt / nicht implementiert**\n\nSchema-Version danach: **8**\n\n---\n\n## 4. Backup/Restore Regression\n\nDurchgeführt:\n\n- Backup nach Mini-Import erzeugt: **ja**\n- `verify-backup` funktioniert: **ja**\n- Checksum OK: **ja**\n- Restore auf separate Test-DB funktioniert: **ja**\n- produktive DB wurde dabei nicht überschrieben: **ja**\n- Git-Safety danach OK: **ja**\n\nZusätzlich Test ergänzt:\n\n- Restore auf separate Test-DB verändert produktive DB nicht.\n\n---\n\n## 5. Zweiter Mini-Import\n\nNach erfolgreicher Regression wurde genau **1** weiteres remaining True-Wealth-ready Item importiert.\n\nBedingungen erfüllt:\n\n- vorher Backup: **ja**\n- Backup verifiziert: **ja**\n- genau 1 Position importiert: **ja**\n- keine Massenübernahme: **ja**\n- Audit vorhanden: **ja**\n- Execution Plan vorhanden: **ja**\n- anderes ready Item unverändert: **ja**\n- keine echten Werte/Mengen im Chat: **ja**\n- Git-Safety danach OK: **ja**\n\nStatus nach zweitem Mini-Import:\n\n- produktive True-Wealth Initial-Snapshot-Transaktionen: **2**\n- Execution Plans:\n - imported: **2**\n - planned/ready: **1**\n- Review Items:\n - imported: **2**\n - remaining ready/resolved: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\n---\n\n## 6. Tests ergänzt\n\nNeu/erweitert getestet:\n\n- Re-Import derselben `execution_plan_id` wird blockiert\n- Re-Import derselben `row_hash` wird blockiert\n- `void_transaction` braucht Notiz\n- `void_transaction` schreibt Audit\n- voided transaction wird nicht als aktive Position gezählt\n- correction transaction erzeugt Audit-Link\n- Initial Snapshot mit missing FX bleibt warning/incomplete\n- Portfolio-Berechnung zeigt keine Scheingenauigkeit / kein Fake Total Return\n- Backup nach Import / Restore auf Test-DB\n- Schema enthält Void-/Correction-Felder\n\nTeststand:\n\n- vorher: **155**\n- nachher: **160**\n- Ergebnis: **160 passed**\n\n---\n\n## Codeänderungen\n\nGeändert / neu:\n\n- `src/jarvis_finance/storage/migrations.py`\n - Migration `008_transaction_void_corrections`\n- `src/jarvis_finance/ledger/positions.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/ledger/cash.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/imports/execution.py`\n - kontrollierte Execution-Plan-Import-Funktion\n - Re-Import-Schutz\n- `src/jarvis_finance/ledger/corrections.py`\n - `void_transaction`\n - `record_correction_audit`\n- `tests/unit/test_import_execution_and_corrections.py`\n- `tests/unit/test_runtime_backup.py`\n- `tests/unit/test_schema.py`\n\nCommit:\n\n- `374fdd5` — `feat: harden broker mini-import corrections`\n\nPush:\n\n- **success**\n- Remote HEAD: `374fdd5`\n\n---\n\n## Abschlussstatus\n\n- Compile: **OK**\n- pytest: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Branch: `main...origin/main`\n\n## Nächste Empfehlung\n\nNoch **kein Massenimport**.\n\nNächster sinnvoller Schritt:\n\n1. Das letzte remaining True-Wealth-ready Item als **dritten Einzel-Mini-Import** durchführen.\n2. Danach eine kleine Review-Phase:\n - importierte 3 Ledger-Positionen aggregiert prüfen\n - Data Quality Center konsolidieren\n - Manual Review Queue Status finalisieren\n3. Erst danach entscheiden, ob weitere True-Wealth-Items gemappt/importiert werden oder ob zuerst FX/Cost-Basis-Modell verbessert wird.\n\nKurz: B6c hat den Airbag eingebaut, bevor wir schneller fahren. Sehr vernünftig.",
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"text": "Phase B6c ist abgeschlossen, Sir.\n\n## Kurzfazit\n\n- Regression Check bestanden: **ja**\n- Re-Import-Schutz bestätigt: **ja**\n- Safe Correction / Void implementiert: **ja**\n- Backup/Restore Regression bestanden: **ja**\n- Zweiter Mini-Import durchgeführt: **ja**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen nachher: **2**\n- Remaining ready planned True-Wealth Items: **1**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Commit: `374fdd5`\n- Push Status: **success**\n- Git Status: **clean**, `main...origin/main`\n\nKeine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte wurden ausgegeben.\n\n---\n\n## 1. Import Regression Check\n\nGeprüft für den bestehenden B6b Mini-Import:\n\n- genau 1 produktive Transaktion aus B6b initial vorhanden: **ja**\n- `transaction_type = initial_position_snapshot`: **ja**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- linked `execution_plan_id` vorhanden: **ja**\n- linked `review_item_id` vorhanden: **ja**\n- `instrument_id` vorhanden: **ja**\n- `account_id` vorhanden: **ja**\n- `quantity` vorhanden: **ja**\n- `quantity` Decimal-parsebar: **ja**\n- keine Float-Konvertierung: **ja**\n- `quality_status` warning/incomplete bei fehlender FX/Cost Basis: **ja**\n- Audit-Log vorhanden: **ja**\n- Execution Plan Status: **imported**\n- Review Item Status: **imported**\n\nRe-Import-Schutz:\n\n- dieselbe `execution_plan_id` wird blockiert: **ja**\n- dieselbe `row_hash` wird blockiert: **ja**\n- zusätzliche Tests dafür ergänzt: **ja**\n\n---\n\n## 2. Position Calculation Check\n\nGeprüft:\n\n- Position kann aus Ledger berechnet werden: **ja**\n- berechnete Position erscheint auf Portfolio/Equity-Seite: **ja**\n- Dashboard/Equity erkennt Ledger-Positionen: **ja**\n- keine direkte Snapshot-Wahrheit geschrieben: **ja**\n- Total Return wird bei fehlender FX/Market Data nicht präzise behauptet: **ja**\n\nData Quality Flags nach B6c:\n\n- `missing_fx`: **2**\n- `missing_market_price`: **2**\n- `cost_basis_uncertain`: im Execution-Plan/Import-Payload geführt\n- `snapshot_only`: im Execution-Plan/Import-Payload geführt\n- alte Crypto-Preis-Warnings bestehen weiterhin: **14 stale crypto price Alerts**\n\nWichtig: Die Ledger-Positionen existieren, aber Performance/Total Return bleibt bewusst unvollständig. Kein finanzmathematisches Wunschdenken, how disappointing.\n\n---\n\n## 3. Safe Correction / Reversal\n\nImplementiert:\n\n### `void_transaction`\n\n- markiert Transaktion als voided/storniert\n- löscht **nicht** physisch\n- erfordert Notiz\n- schreibt Audit-Log\n- erzeugt Data-Quality Alert `voided_transaction`\n- Position-/Cash-Berechnung ignoriert `is_voided = 1`\n\nNeue Felder in `transactions`:\n\n- `is_voided`\n- `voided_at`\n- `void_reason`\n- `voided_by`\n- `correction_of_transaction_id`\n- `correction_reason`\n\n### `correction_transaction`\n\nVorbereitet über Audit-Link:\n\n- neue Korrekturtransaktion bleibt separat\n- alte Transaktion bleibt historisch sichtbar\n- neue Transaktion kann mit alter Transaktion verknüpft werden\n- Audit-Log Pflicht\n- Notiz Pflicht\n\nPhysisches Löschen produktiver Transaktionen: **nicht erlaubt / nicht implementiert**\n\nSchema-Version danach: **8**\n\n---\n\n## 4. Backup/Restore Regression\n\nDurchgeführt:\n\n- Backup nach Mini-Import erzeugt: **ja**\n- `verify-backup` funktioniert: **ja**\n- Checksum OK: **ja**\n- Restore auf separate Test-DB funktioniert: **ja**\n- produktive DB wurde dabei nicht überschrieben: **ja**\n- Git-Safety danach OK: **ja**\n\nZusätzlich Test ergänzt:\n\n- Restore auf separate Test-DB verändert produktive DB nicht.\n\n---\n\n## 5. Zweiter Mini-Import\n\nNach erfolgreicher Regression wurde genau **1** weiteres remaining True-Wealth-ready Item importiert.\n\nBedingungen erfüllt:\n\n- vorher Backup: **ja**\n- Backup verifiziert: **ja**\n- genau 1 Position importiert: **ja**\n- keine Massenübernahme: **ja**\n- Audit vorhanden: **ja**\n- Execution Plan vorhanden: **ja**\n- anderes ready Item unverändert: **ja**\n- keine echten Werte/Mengen im Chat: **ja**\n- Git-Safety danach OK: **ja**\n\nStatus nach zweitem Mini-Import:\n\n- produktive True-Wealth Initial-Snapshot-Transaktionen: **2**\n- Execution Plans:\n - imported: **2**\n - planned/ready: **1**\n- Review Items:\n - imported: **2**\n - remaining ready/resolved: **1**\n- `positions_snapshot`: **0**\n- `cash_balances`: **0**\n\n---\n\n## 6. Tests ergänzt\n\nNeu/erweitert getestet:\n\n- Re-Import derselben `execution_plan_id` wird blockiert\n- Re-Import derselben `row_hash` wird blockiert\n- `void_transaction` braucht Notiz\n- `void_transaction` schreibt Audit\n- voided transaction wird nicht als aktive Position gezählt\n- correction transaction erzeugt Audit-Link\n- Initial Snapshot mit missing FX bleibt warning/incomplete\n- Portfolio-Berechnung zeigt keine Scheingenauigkeit / kein Fake Total Return\n- Backup nach Import / Restore auf Test-DB\n- Schema enthält Void-/Correction-Felder\n\nTeststand:\n\n- vorher: **155**\n- nachher: **160**\n- Ergebnis: **160 passed**\n\n---\n\n## Codeänderungen\n\nGeändert / neu:\n\n- `src/jarvis_finance/storage/migrations.py`\n - Migration `008_transaction_void_corrections`\n- `src/jarvis_finance/ledger/positions.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/ledger/cash.py`\n - voided transactions werden ignoriert\n- `src/jarvis_finance/imports/execution.py`\n - kontrollierte Execution-Plan-Import-Funktion\n - Re-Import-Schutz\n- `src/jarvis_finance/ledger/corrections.py`\n - `void_transaction`\n - `record_correction_audit`\n- `tests/unit/test_import_execution_and_corrections.py`\n- `tests/unit/test_runtime_backup.py`\n- `tests/unit/test_schema.py`\n\nCommit:\n\n- `374fdd5` — `feat: harden broker mini-import corrections`\n\nPush:\n\n- **success**\n- Remote HEAD: `374fdd5`\n\n---\n\n## Abschlussstatus\n\n- Compile: **OK**\n- pytest: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Branch: `main...origin/main`\n\n## Nächste Empfehlung\n\nNoch **kein Massenimport**.\n\nNächster sinnvoller Schritt:\n\n1. Das letzte remaining True-Wealth-ready Item als **dritten Einzel-Mini-Import** durchführen.\n2. Danach eine kleine Review-Phase:\n - importierte 3 Ledger-Positionen aggregiert prüfen\n - Data Quality Center konsolidieren\n - Manual Review Queue Status finalisieren\n3. Erst danach entscheiden, ob weitere True-Wealth-Items gemappt/importiert werden oder ob zuerst FX/Cost-Basis-Modell verbessert wird.\n\nKurz: B6c hat den Airbag eingebaut, bevor wir schneller fahren. Sehr vernünftig."
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"content": "[M G] Sehr gut. Phase B6c ist akzeptiert.\n\nDer Stand ist sauber:\n\n* Regression Check bestanden\n* Re-Import-Schutz bestätigt\n* Safe Correction / Void implementiert\n* Backup/Restore Regression bestanden\n* zweiter Mini-Import durchgeführt\n* produktive True-Wealth Initial-Snapshot-Transaktionen: 2\n* remaining ready planned True-Wealth Items: 1\n* keine direkten positions_snapshot Writes\n* keine Cash-Snapshots\n* Tests: 160 passed\n* Git-Safety: OK\n* Commit 374fdd5 gepusht\n\nDas ist ein wichtiger Meilenstein.\n\nBitte jetzt keine Massenimporte und keine neuen Analysefeatures bauen.\n\nBitte fahre mit Phase B6d fort:\n\n# Phase B6d — True-Wealth-Mini-Import abschließen und Data Quality konsolidieren\n\n## 1. Vorab: Crypto-Stale-Alerts klären\n\nIm B6c-Bericht steht:\n\n* alte Crypto-Preis-Warnings bestehen weiterhin: 14 stale crypto price Alerts\n\nBitte zuerst prüfen:\n\n* Sind diese Alerts noch aktiv?\n* Haben die betroffenen Assets inzwischen frische lokale CHF-Preise?\n* Warum wurden die Alerts nicht resolved?\n* Ist das ein Lifecycle-Bug, ein alter Fingerprint, ein anderer Rule-ID-Konflikt oder bewusst offener Status?\n\nBitte danach ausführen:\n\n* finance check-data-quality --scope crypto --resolve-fixed\n* falls nötig zusätzlich Price Refresh, aber ohne echte Werte im Chat\n\nBitte nur aggregiert berichten:\n\n* active crypto stale alerts vorher\n* active crypto stale alerts nachher\n* resolved alerts\n* assets mit frischem CHF-Preis\n* warnings/errors\n\nZiel:\nWenn Preise frisch sind, sollen alte Stale-Alerts nicht aktiv bleiben.\n\n## 2. Drittes remaining True-Wealth-ready Item importieren\n\nWenn Schritt 1 sauber ist, bitte genau das letzte remaining ready True-Wealth Item importieren.\n\nBedingungen:\n\n* vorher Runtime-DB Backup\n* Backup verifizieren\n* genau 1 Position importieren\n* keine Massenübernahme\n* transaction_type = initial_position_snapshot\n* source_type = broker_import_reviewed_snapshot\n* Execution Plan verknüpfen\n* Review Item Status aktualisieren\n* Audit-Log Pflicht\n* Row Hash / Execution Plan Re-Import-Schutz\n* keine echten Mengen/Werte/Kontostände im Chat\n* keine echten Dateien ins Git\n* keine direkten positions_snapshot Writes\n* keine Cash-Snapshots\n* keine anderen True-Wealth/PostFinance/Raiffeisen-Items importieren\n\n## 3. Konsolidierter True-Wealth-Import-Check\n\nNach dem dritten Mini-Import bitte prüfen:\n\n* produktive True-Wealth Initial-Snapshot-Transaktionen insgesamt\n* alle drei haben:\n\n * account_id\n * instrument_id\n * quantity Decimal-parsebar\n * source_type korrekt\n * source_id / execution_plan_id\n * Audit-Log\n * Review Item Status imported\n * Execution Plan Status imported\n* keine Duplikate nach:\n\n * execution_plan_id\n * row_hash\n * account_id + instrument_id + snapshot_date, soweit sinnvoll\n* Positionen aus Ledger berechenbar\n* Portfolio/Equity-Seite erkennt alle importierten Positionen\n* Data Quality Flags korrekt:\n\n * missing_fx\n * missing_market_price\n * cost_basis_uncertain\n * snapshot_only\n* Total Return / Performance wird weiterhin nicht präzise behauptet, solange FX, Preise und Cost Basis fehlen\n\nKeine echten Werte/Mengen im Chat.\n\n## 4. Review Queue und Data Quality Center konsolidieren\n\nBitte aktualisieren/prüfen:\n\n* True Wealth:\n\n * imported Count\n * ready_for_import Count\n * open Count\n * review_needed Count\n* PostFinance:\n\n * unverändert, noch nicht importiert\n* Raiffeisen:\n\n * aggregate_only weiterhin blockiert\n* Data Quality Center:\n\n * zeigt importierte Items korrekt\n * zeigt offene Review Items korrekt\n * zeigt fehlende FX / Market Prices\n * zeigt keine veralteten Crypto-Stale-Alerts, wenn diese behoben sind\n\n## 5. Tests / Safety\n\nNach Abschluss:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nFalls Code geändert wurde:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nFalls nur Runtime-Daten geschrieben wurden:\n\n* kein Code-Commit nötig\n* aber Git-Safety und Git Status prüfen\n\n## 6. Bericht\n\nBitte berichten:\n\n* Crypto-Stale-Alert-Bereinigung:\n\n * active stale alerts vorher/nachher\n * resolved count\n * Preisstatus aggregiert\n* dritter Mini-Import durchgeführt: ja/nein\n* produktive\nTrue-Wealth Initial-Snapshot-Transaktionen insgesamt\n* neue Transaktionen\n* Audit-Logs vorhanden\n* Execution Plans Status\n* Review Items Status\n* Data Quality Warnings\n* Portfolio/Equity-Seite erkennt Positionen: ja/nein\n* Backup erzeugt/verifiziert\n* Tests\n* Git-Safety\n* Git Status\n* Commit Hash, falls Code geändert wurde\n* Push Status, falls Commit\n\nKeine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte ausgeben.\n\n## 7. Danach bitte Empfehlung geben\n\nNach B6d bitte eine klare Empfehlung:\n\nA. Weitere True-Wealth-Items mappen/importieren\nB. PostFinance Review/Mappings starten\nC. FX-/Market-Data-Modul für Aktien/ETFs beginnen\nD. Data Quality / Dashboard weiter verbessern\n\nBitte mit Begründung."
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\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/audit/decorators.py\", \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/audit/validators.py\", \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/audit/log.py\", \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/units_of_work.py\", \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/repositories.py\", \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/database.py\"]}",
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from dataclasses import dataclass\\n 4|from datetime import datetime, timezone\\n 5|from sqlite3 import Connection\\n 6|\\n 7|from jarvis_finance.quality.alerts import create_alert, utc_now\\n 8|\\n 9|CRYPTO_PRICE_ALERT_RULES = {\\n 10| \\\"crypto_price_stale\\\",\\n 11| \\\"crypto_price_missing\\\",\\n 12| \\\"crypto_price_missing_local\\\",\\n 13|}\\n 14|\\n 15|\\n 16|@dataclass\\n 17|class DataQualityCheckResult:\\n 18| scope: str\\n 19| dry_run: bool = False\\n 20| resolve_fixed: bool = False\\n 21| active_crypto_assets: int = 0\\n 22| fresh_price_assets: int = 0\\n 23| active_stale_price_alerts_before: int = 0\\n 24| active_stale_price_alerts_after: int = 0\\n 25| resolved_alerts: int = 0\\n 26| warnings: int = 0\\n 27| errors: int = 0\\n 28| missing_price_assets: int = 0\\n 29|\\n 30|\\n 31|def _active_price_alert_count(conn: Connection) -> int:\\n 32| placeholders = \\\",\\\".join(\\\"?\\\" for _ in CRYPTO_PRICE_ALERT_RULES)\\n 33| return conn.execute(\\n 34| f\\\"SELECT COUNT(*) AS n FROM alerts WHERE status='active' AND rule_id IN ({placeholders})\\\",\\n 35| tuple(sorted(CRYPTO_PRICE_ALERT_RULES)),\\n 36| ).fetchone()[\\\"n\\\"]\\n 37|\\n 38|\\n 39|def _parse_dt(value: str | None) -> datetime | None:\\n 40| if not value:\\n 41| return None\\n 42| try:\\n 43| dt = datetime.fromisoformat(value.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n 44| except ValueError:\\n 45| return None\\n 46| return dt if dt.tzinfo else dt.replace(tzinfo=timezone.utc)\\n 47|\\n 48|\\n 49|def _is_stale(timestamp: str | None, *, max_age_seconds: int) -> bool:\\n 50| dt = _parse_dt(timestamp)\\n 51| if dt is None:\\n 52| return True\\n 53| return (datetime.now(timezone.utc) - dt).total_seconds() > max_age_seconds\\n 54|\\n 55|\\n 56|def _latest_crypto_price_row(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\"):\\n 57| return conn.execute(\\n 58| \\\"\\\"\\\"\\n 59| SELECT * FROM crypto_prices\\n 60| WHERE asset_id=? AND price_currency=?\\n 61| ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC\\n 62| LIMIT 1\\n 63| \\\"\\\"\\\",\\n 64| (asset_id, currency.upper()),\\n 65| ).fetchone()\\n 66|\\n 67|\\n 68|def has_fresh_crypto_price(conn: Connection, asset_id: str, *, currency: str = \\\"CHF\\\", max_age_seconds: int = 86_400) -> bool:\\n 69| latest = _latest_crypto_price_row(conn, asset_id, currency)\\n 70| return bool(latest and latest[\\\"quality_status\\\"] == \\\"fresh\\\" and latest[\\\"price\\\"] not in (None, \\\"\\\") and not _is_stale(latest[\\\"fetched_at\\\"], max_age_seconds=max_age_seconds))\\n 71|\\n 72|\\n 73|def resolve_fixed_crypto_price_alerts(\\n 74| conn: Connection,\\n 75| *,\\n 76| currency: str = \\\"CHF\\\",\\n 77| max_age_seconds: int = 86_400,\\n 78| dry_run: bool = False,\\n 79|) -> int:\\n 80| \\\"\\\"\\\"Resolve active stale/missing crypto-price alerts whose asset now has a fresh local price.\\n 81|\\n 82| Alert history is retained; rows are never deleted. Updating last_seen_at on resolution makes the\\n 83| lifecycle explicit without creating another alert occurrence.\\n 84| \\\"\\\"\\\"\\n 85| placeholders = \\\",\\\".join(\\\"?\\\" for _ in CRYPTO_PRICE_ALERT_RULES)\\n 86| alerts = conn.execute(\\n 87| f\\\"\\\"\\\"\\n 88| SELECT alert_id, entity_id\\n 89| FROM alerts\\n 90| WHERE status='active'\\n 91| AND entity_type='crypto_asset'\\n 92| AND rule_id IN ({placeholders})\\n 93| ORDER BY created_at\\n 94| \\\"\\\"\\\",\\n 95| tuple(sorted(CRYPTO_PRICE_ALERT_RULES)),\\n 96| ).fetchall()\\n 97| now = utc_now()\\n 98| resolved = 0\\n 99| for alert in alerts:\\n 100| asset_id = alert[\\\"entity_id\\\"]\\n 101| if asset_id and has_fresh_crypto_price(conn, asset_id, currency=currency, max_age_seconds=max_age_seconds):\\n 102| resolved += 1\\n 103| if not dry_run:\\n 104| conn.execute(\\n 105| \\\"\\\"\\\"\\n 106| UPDATE alerts\\n 107| SET status='resolved', resolved_at=?, last_seen_at=?\\n 108| WHERE alert_id=? AND status='active'\\n 109| \\\"\\\"\\\",\\n 110| (now, now, alert[\\\"alert_id\\\"]),\\n 111| )\\n 112| if resolved and not dry_run:\\n 113| conn.commit()\\n 114| return resolved\\n 115|\\n 116|\\n 117|def check_crypto_data_quality(\\n 118| conn: Connection,\\n 119| *,\\n 120| currency: str = \\\"CHF\\\",\\n 121| max_age_seconds: int = 86_400,\\n 122| resolve_fixed: bool = False,\\n 123| dry_run: bool = False,\\n 124|) -> DataQualityCheckResult:\\n 125| result = DataQualityCheckResult(scope=\\\"crypto\\\", dry_run=dry_run, resolve_fixed=resolve_fixed)\\n 126| assets = conn.execute(\\n 127| \\\"SELECT asset_id, symbol, coingecko_id FROM crypto_assets WHERE is_active=1 ORDER BY symbol\\\"\\n 128| ).fetchall()\\n 129| result.active_crypto_assets = len(assets)\\n 130| result.active_stale_price_alerts_before = _active_price_alert_count(conn)\\n 131|\\n 132| for asset in assets:\\n 133| if has_fresh_crypto_price(conn, asset[\\\"asset_id\\\"], currency=currency, max_age_seconds=max_age_seconds):\\n 134| result.fresh_price_assets += 1\\n 135| continue\\n 136| result.missing_price_assets += 1\\n 137| result.warnings += 1\\n 138| if not dry_run:\\n 139| create_alert(\\n 140| conn,\\n 141| priority=\\\"warnung\\\",\\n 142| category=\\\"market_data\\\",\\n 143| entity_type=\\\"crypto_asset\\\",\\n 144| entity_id=asset[\\\"asset_id\\\"],\\n 145| rule_id=\\\"crypto_price_missing_local\\\",\\n 146| message=\\\"Crypto asset has no fresh local price during data quality recheck.\\\",\\n 147| evidence={\\\"symbol\\\": asset[\\\"symbol\\\"], \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"], \\\"currency\\\": currency.upper()},\\n 148| fingerprint=f\\\"crypto_price_missing_local:{currency.upper()}\\\",\\n 149| )\\n 150|\\n 151| if resolve_fixed:\\n 152| result.resolved_alerts = resolve_fixed_crypto_price_alerts(\\n 153| conn,\\n 154| currency=currency,\\n 155| max_age_seconds=max_age_seconds,\\n 156| dry_run=dry_run,\\n 157| )\\n 158| if not dry_run:\\n 159| conn.commit()\\n 160| result.active_stale_price_alerts_after = _active_price_alert_count(conn)\\n 161| if dry_run and resolve_fixed:\\n 162| result.active_stale_price_alerts_after = max(0, result.active_stale_price_alerts_before - result.resolved_alerts)\\n 163| return result\\n 164|\", \"total_lines\": 163, \"file_size\": 5712, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"content": "",
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"id": "call_hpohQG7FuV6KcyMlle3rjbnN",
"call_id": "call_hpohQG7FuV6KcyMlle3rjbnN",
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"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main check-data-quality --help\\nPYTHONPATH=src python -m jarvis_finance.cli.main update-crypto-prices --help | sed -n '1,220p'\",\"timeout\":80,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Running data quality check**\n\nI need to run a check on the data quality, and it seems I should inspect the command-line arguments to make sure everything is set up correctly. This is an important step as it will help me ensure that the data being processed meets the necessary quality standards. It's always good to double-check the parameters, so I'm feeling like this will lead to more reliable results. Let's get it done!",
"reasoning_content": "**Running data quality check**\n\nI need to run a check on the data quality, and it seems I should inspect the command-line arguments to make sure everything is set up correctly. This is an important step as it will help me ensure that the data being processed meets the necessary quality standards. It's always good to double-check the parameters, so I'm feeling like this will lead to more reliable results. Let's get it done!",
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"id": "rs_0c76e56576ffc0fb016a06fbfe350881919ad4e75d1252631d",
"summary": [
{
"type": "summary_text",
"text": "**Running data quality check**\n\nI need to run a check on the data quality, and it seems I should inspect the command-line arguments to make sure everything is set up correctly. This is an important step as it will help me ensure that the data being processed meets the necessary quality standards. It's always good to double-check the parameters, so I'm feeling like this will lead to more reliable results. Let's get it done!"
}
]
}
]
},
{
"role": "tool",
"content": "{\"output\": \"usage: finance check-data-quality [-h] [--scope {crypto}] [--resolve-fixed]\\n [--dry-run] [--currency CURRENCY]\\n [--max-age-seconds MAX_AGE_SECONDS]\\n\\noptions:\\n -h, --help show this help message and exit\\n --scope {crypto}\\n --resolve-fixed\\n --dry-run\\n --currency CURRENCY\\n --max-age-seconds MAX_AGE_SECONDS\\nusage: finance update-crypto-prices [-h] [--currency CURRENCY]\\n [--max-age-seconds MAX_AGE_SECONDS]\\n [--sleep-seconds SLEEP_SECONDS]\\n [--max-retries MAX_RETRIES]\\n [--initial-backoff INITIAL_BACKOFF]\\n [--max-backoff MAX_BACKOFF]\\n [--only-missing] [--only-stale]\\n [--only-symbol ONLY_SYMBOL]\\n [--limit LIMIT] [--dry-run]\\n\\noptions:\\n -h, --help show this help message and exit\\n --currency CURRENCY\\n --max-age-seconds MAX_AGE_SECONDS\\n --sleep-seconds SLEEP_SECONDS\\n --max-retries MAX_RETRIES\\n --initial-backoff INITIAL_BACKOFF\\n --max-backoff MAX_BACKOFF\\n --only-missing\\n --only-stale\\n --only-symbol ONLY_SYMBOL\\n --limit LIMIT\\n --dry-run\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_hpohQG7FuV6KcyMlle3rjbnN"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_kF7zLpQ9YquWL0zTRrOsXlQz",
"call_id": "call_kF7zLpQ9YquWL0zTRrOsXlQz",
"response_item_id": "fc_0c76e56576ffc0fb016a06fc034c708191bd08f2bcaa496e69",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\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.quality.data_quality import has_fresh_crypto_price\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nassets=conn.execute(\\\"SELECT asset_id FROM crypto_assets WHERE is_active=1\\\").fetchall()\\nfresh=sum(1 for a in assets if has_fresh_crypto_price(conn,a['asset_id'],currency='CHF'))\\nactive_stale=conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='crypto_price_stale' AND status='active'\\\").fetchone()['n']\\nresolved_stale=conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='crypto_price_stale' AND status='resolved'\\\").fetchone()['n']\\nactive_price_rules=[dict(r) for r in conn.execute(\\\"SELECT rule_id,status,COUNT(*) n FROM alerts WHERE rule_id IN ('crypto_price_stale','crypto_price_missing','crypto_price_missing_local') GROUP BY rule_id,status ORDER BY rule_id,status\\\").fetchall()]\\nprint(json.dumps({'active_stale_before':active_stale,'resolved_stale_existing':resolved_stale,'active_assets':len(assets),'fresh_chf_assets_before':fresh,'price_alert_rules_before':active_price_rules}, sort_keys=True))\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main check-data-quality --scope crypto --resolve-fixed --currency CHF > /tmp/b6d_dq_crypto.txt\\ncat /tmp/b6d_dq_crypto.txt\\nPYTHONPATH=src python - <<'PY'\\nimport json\\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.quality.data_quality import has_fresh_crypto_price\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nassets=conn.execute(\\\"SELECT asset_id FROM crypto_assets WHERE is_active=1\\\").fetchall()\\nfresh=sum(1 for a in assets if has_fresh_crypto_price(conn,a['asset_id'],currency='CHF'))\\nprint(json.dumps({\\n 'active_stale_after': conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='crypto_price_stale' AND status='active'\\\").fetchone()['n'],\\n 'resolved_stale_after_total': conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='crypto_price_stale' AND status='resolved'\\\").fetchone()['n'],\\n 'active_assets': len(assets),\\n 'fresh_chf_assets_after': fresh,\\n 'price_alert_rules_after': [dict(r) for r in conn.execute(\\\"SELECT rule_id,status,COUNT(*) n FROM alerts WHERE rule_id IN ('crypto_price_stale','crypto_price_missing','crypto_price_missing_local') GROUP BY rule_id,status ORDER BY rule_id,status\\\").fetchall()]\\n}, sort_keys=True))\\nPY\",\"timeout\":160,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"{\\\"active_assets\\\": 20, \\\"active_stale_before\\\": 0, \\\"fresh_chf_assets_before\\\": 20, \\\"price_alert_rules_before\\\": [{\\\"n\\\": 14, \\\"rule_id\\\": \\\"crypto_price_stale\\\", \\\"status\\\": \\\"resolved\\\"}], \\\"resolved_stale_existing\\\": 14}\\nDATA_QUALITY_CHECK scope=crypto active_crypto_assets=20 fresh_price_assets=20 active_stale_price_alerts_before=0 active_stale_price_alerts_after=0 resolved_alerts=0 warnings=0 errors=0 dry_run=false\\n{\\\"active_assets\\\": 20, \\\"active_stale_after\\\": 0, \\\"fresh_chf_assets_after\\\": 20, \\\"price_alert_rules_after\\\": [{\\\"n\\\": 14, \\\"rule_id\\\": \\\"crypto_price_stale\\\", \\\"status\\\": \\\"resolved\\\"}], \\\"resolved_stale_after_total\\\": 14}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_kF7zLpQ9YquWL0zTRrOsXlQz"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_AEd8xT6pEyMJGfNznsPMl6So",
"call_id": "call_AEd8xT6pEyMJGfNznsPMl6So",
"response_item_id": "fc_0c76e56576ffc0fb016a06fc16c8908191af3f7a6271006680",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Crypto-Stale-Alerts prüfen, resolve-fixed/Price Refresh falls nötig aggregiert\",\"id\":\"b6d-1\",\"status\":\"completed\"},{\"content\":\"Drittes remaining True-Wealth-ready Item mit Backup/Verify importieren\",\"id\":\"b6d-2\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Clarifying the issue**\n\nI need to figure out why this question wasn't resolved. It looks like everything was actually addressed, but it seems that B6c accounted for all alerts instead of just the status. Maybe it was resolved earlier than I thought. I should also consider importing the third backup to verify the import process. Plus, I'll need to use the execution function to make sure everything, including the active price, is okay.",
"reasoning_content": "**Clarifying the issue**\n\nI need to figure out why this question wasn't resolved. It looks like everything was actually addressed, but it seems that B6c accounted for all alerts instead of just the status. Maybe it was resolved earlier than I thought. I should also consider importing the third backup to verify the import process. Plus, I'll need to use the execution function to make sure everything, including the active price, is okay.",
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"id": "rs_0c76e56576ffc0fb016a06fc13c4b08191a60cf376250fde2a",
"summary": [
{
"type": "summary_text",
"text": "**Clarifying the issue**\n\nI need to figure out why this question wasn't resolved. It looks like everything was actually addressed, but it seems that B6c accounted for all alerts instead of just the status. Maybe it was resolved earlier than I thought. I should also consider importing the third backup to verify the import process. Plus, I'll need to use the execution function to make sure everything, including the active price, is okay."
}
]
}
]
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"b6d-1\", \"content\": \"Crypto-Stale-Alerts prüfen, resolve-fixed/Price Refresh falls nötig aggregiert\", \"status\": \"completed\"}, {\"id\": \"b6d-2\", \"content\": \"Drittes remaining True-Wealth-ready Item mit Backup/Verify importieren\", \"status\": \"in_progress\"}, {\"id\": \"b6d-3\", \"content\": \"Konsolidierter Import-, Review-Queue- und Data-Quality-Check\", \"status\": \"pending\"}, {\"id\": \"b6d-4\", \"content\": \"Compile/pytest/Git-Safety/Git Status; ggf. Commit/Push\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 2, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}",
"tool_call_id": "call_AEd8xT6pEyMJGfNznsPMl6So"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_J5ZemAuFZPbD3KpScyEqe7Bd",
"call_id": "call_J5ZemAuFZPbD3KpScyEqe7Bd",
"response_item_id": "fc_0c76e56576ffc0fb016a06fc1d41bc819199ccdbabd93d13a5",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main backup-runtime-db > /tmp/b6d_backup_out.txt\\nPYTHONPATH=src python - <<'PY'\\nimport re, subprocess, json, os\\nfrom pathlib import Path\\ntext=Path('/tmp/b6d_backup_out.txt').read_text(); m=re.search(r'backup_file=([^\\\\s]+)', text)\\nif not m: raise SystemExit('backup_file not found')\\nbackup=Path(m.group(1)).resolve(); repo=Path('/home/agent/.hermes/repos/FinanceManager')\\nverify=subprocess.run(['python','-m','jarvis_finance.cli.main','verify-backup','--file',str(backup)], cwd=repo, env={**os.environ,'PYTHONPATH':'src'}, text=True, capture_output=True, check=True)\\nprint(json.dumps({'backup_created':backup.exists(), 'backup_verified':'checksum_ok=true' in verify.stdout, 'backup_dir':str(backup.parent)}, sort_keys=True))\\nPY\\nPYTHONPATH=src python - <<'PY'\\nimport json\\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.execution import execute_initial_snapshot_plan\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nbefore_tx=conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n']\\nbefore_ps=conn.execute('SELECT COUNT(*) n FROM positions_snapshot').fetchone()['n']\\nbefore_cash=conn.execute('SELECT COUNT(*) n FROM cash_balances').fetchone()['n']\\nplan=conn.execute(\\\"SELECT execution_plan_id FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned' ORDER BY created_at, execution_plan_id LIMIT 1\\\").fetchone()\\nif not plan:\\n raise SystemExit('no remaining planned ready payload')\\nresult=execute_initial_snapshot_plan(conn, execution_plan_id=plan['execution_plan_id'], note='B6d final controlled True Wealth mini-import from reviewed execution plan; no mass import.', created_by='phase_b6d')\\nafter_tx=conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n']\\nafter_ps=conn.execute('SELECT COUNT(*) n FROM positions_snapshot').fetchone()['n']\\nafter_cash=conn.execute('SELECT COUNT(*) n FROM cash_balances').fetchone()['n']\\nprint(json.dumps({'third_mini_import_performed':result.imported,'new_transactions_delta':after_tx-before_tx,'total_tw_initial_snapshots':after_tx,'positions_snapshot_delta':after_ps-before_ps,'cash_balances_delta':after_cash-before_cash,'remaining_ready_planned_payloads': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n']}, sort_keys=True))\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"{\\\"backup_created\\\": true, \\\"backup_dir\\\": \\\"/home/agent/jarvis_runtime/finance-system/backups\\\", \\\"backup_verified\\\": true}\\n{\\\"cash_balances_delta\\\": 0, \\\"new_transactions_delta\\\": 1, \\\"positions_snapshot_delta\\\": 0, \\\"remaining_ready_planned_payloads\\\": 0, \\\"third_mini_import_performed\\\": true, \\\"total_tw_initial_snapshots\\\": 3}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_J5ZemAuFZPbD3KpScyEqe7Bd"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_o3QuBREeh0O0QRYSpCu60CDa",
"call_id": "call_o3QuBREeh0O0QRYSpCu60CDa",
"response_item_id": "fc_0c76e56576ffc0fb016a06fc3e40b48191b2bcd2650f573dd6",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Drittes remaining True-Wealth-ready Item mit Backup/Verify importieren\",\"id\":\"b6d-2\",\"status\":\"completed\"},{\"content\":\"Konsolidierter Import-, Review-Queue- und Data-Quality-Check\",\"id\":\"b6d-3\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"b6d-1\", \"content\": \"Crypto-Stale-Alerts prüfen, resolve-fixed/Price Refresh falls nötig aggregiert\", \"status\": \"completed\"}, {\"id\": \"b6d-2\", \"content\": \"Drittes remaining True-Wealth-ready Item mit Backup/Verify importieren\", \"status\": \"completed\"}, {\"id\": \"b6d-3\", \"content\": \"Konsolidierter Import-, Review-Queue- und Data-Quality-Check\", \"status\": \"in_progress\"}, {\"id\": \"b6d-4\", \"content\": \"Compile/pytest/Git-Safety/Git Status; ggf. Commit/Push\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 1, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}",
"tool_call_id": "call_o3QuBREeh0O0QRYSpCu60CDa"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_HnyoCawPOay63twgrRpOftMj",
"call_id": "call_HnyoCawPOay63twgrRpOftMj",
"response_item_id": "fc_0c76e56576ffc0fb016a06fc426e208191b2ec125464189e21",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom decimal import Decimal\\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\\nfrom jarvis_finance.dashboard import data as dashboard_data\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nrows=conn.execute(\\\"\\\"\\\"\\nSELECT t.transaction_id,t.transaction_type,t.source_type,t.source_id,t.row_hash,t.instrument_id,t.account_id,t.quantity,t.trade_date,t.quality_status,t.fx_status,\\n ep.execution_plan_id,ep.review_item_id,ep.execution_status,ri.review_status\\nFROM transactions t\\nLEFT JOIN broker_import_execution_plans ep ON ep.execution_plan_id=t.source_id OR ep.transaction_id=t.transaction_id\\nLEFT JOIN broker_import_review_items ri ON ri.review_item_id=ep.review_item_id\\nWHERE t.source_type='broker_import_reviewed_snapshot' AND t.transaction_type='initial_position_snapshot'\\nORDER BY t.created_at,t.transaction_id\\n\\\"\\\"\\\").fetchall()\\nparseable=0\\nall_linked=True\\nall_core=True\\nfor r in rows:\\n Decimal(str(r['quantity'])); parseable+=1\\n all_linked = all_linked and bool(r['execution_plan_id']) and bool(r['review_item_id'])\\n all_core = all_core and bool(r['account_id']) and bool(r['instrument_id']) and r['source_type']=='broker_import_reviewed_snapshot' and r['execution_status']=='imported' and r['review_status']=='imported'\\n# duplicates without sensitive ids in output\\ndup_execution=conn.execute(\\\"SELECT COUNT(*) n FROM (SELECT source_id FROM transactions WHERE source_type='broker_import_reviewed_snapshot' GROUP BY source_id HAVING COUNT(*)>1)\\\").fetchone()['n']\\ndup_row_hash=conn.execute(\\\"SELECT COUNT(*) n FROM (SELECT row_hash FROM transactions WHERE source_type='broker_import_reviewed_snapshot' GROUP BY row_hash HAVING COUNT(*)>1)\\\").fetchone()['n']\\ndup_tuple=conn.execute(\\\"\\\"\\\"SELECT COUNT(*) n FROM (SELECT account_id,instrument_id,trade_date FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot' AND COALESCE(is_voided,0)=0 GROUP BY account_id,instrument_id,trade_date HAVING COUNT(*)>1)\\\"\\\"\\\").fetchone()['n']\\npositions=calculate_positions(conn)\\nposition_warnings=[]\\nfor pos in positions.positions.values(): position_warnings.extend(pos.quality_warnings)\\nreview_status=[dict(r) for r in conn.execute(\\\"SELECT source_platform, review_status, import_readiness_status, COUNT(*) n FROM broker_import_review_items GROUP BY source_platform, review_status, import_readiness_status ORDER BY source_platform, review_status, import_readiness_status\\\").fetchall()]\\nexec_status=[dict(r) for r in conn.execute(\\\"SELECT source_platform,payload_status,execution_status,COUNT(*) n FROM broker_import_execution_plans GROUP BY source_platform,payload_status,execution_status ORDER BY source_platform,payload_status,execution_status\\\").fetchall()]\\nalerts=[dict(r) for r in conn.execute(\\\"SELECT rule_id,status,COUNT(*) n FROM alerts GROUP BY rule_id,status ORDER BY rule_id,status\\\").fetchall()]\\nsummary={\\n 'tw_initial_snapshots':len(rows),\\n 'all_have_core_fields':bool(all_core),\\n 'all_have_execution_and_review_links':bool(all_linked),\\n 'qty_decimal_parseable':parseable,\\n 'audit_import_events':conn.execute(\\\"SELECT COUNT(*) n FROM audit_log WHERE action IN ('execute_mini_import','mark_review_item_imported')\\\").fetchone()['n'],\\n 'duplicate_execution_plan_ids':dup_execution,\\n 'duplicate_row_hashes':dup_row_hash,\\n 'duplicate_account_instrument_snapshot_date':dup_tuple,\\n 'positions_calculated':len(positions.positions),\\n 'dashboard_positions_count':len(dashboard_data.get_positions(conn)),\\n 'total_return_precise_count':sum(1 for p in positions.positions.values() if p.total_return_chf is not None),\\n 'position_warning_rules':sorted(set(position_warnings)),\\n 'review_status':review_status,\\n 'execution_status':exec_status,\\n 'alerts':alerts,\\n 'postfinance_imported_transactions':conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type LIKE '%postfinance%' COLLATE NOCASE\\\").fetchone()['n'],\\n 'raiffeisen_imported_transactions':conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type LIKE '%raiffeisen%' COLLATE NOCASE\\\").fetchone()['n'],\\n 'positions_snapshot_rows':conn.execute('SELECT COUNT(*) n FROM positions_snapshot').fetchone()['n'],\\n 'cash_balance_rows':conn.execute('SELECT COUNT(*) n FROM cash_balances').fetchone()['n'],\\n}\\nprint(json.dumps(summary, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"{\\\"alerts\\\": [{\\\"n\\\": 14, \\\"rule_id\\\": \\\"crypto_price_stale\\\", \\\"status\\\": \\\"resolved\\\"}, {\\\"n\\\": 3, \\\"rule_id\\\": \\\"missing_fx\\\", \\\"status\\\": \\\"active\\\"}, {\\\"n\\\": 3, \\\"rule_id\\\": \\\"missing_market_price\\\", \\\"status\\\": \\\"active\\\"}], \\\"all_have_core_fields\\\": true, \\\"all_have_execution_and_review_links\\\": true, \\\"audit_import_events\\\": 6, \\\"cash_balance_rows\\\": 0, \\\"dashboard_positions_count\\\": 3, \\\"duplicate_account_instrument_snapshot_date\\\": 0, \\\"duplicate_execution_plan_ids\\\": 0, \\\"duplicate_row_hashes\\\": 0, \\\"execution_status\\\": [{\\\"execution_status\\\": \\\"imported\\\", \\\"n\\\": 3, \\\"payload_status\\\": \\\"ready\\\", \\\"source_platform\\\": \\\"True Wealth\\\"}], \\\"position_warning_rules\\\": [\\\"missing_fx\\\", \\\"missing_market_price\\\"], \\\"positions_calculated\\\": 3, \\\"positions_snapshot_rows\\\": 0, \\\"postfinance_imported_transactions\\\": 0, \\\"qty_decimal_parseable\\\": 3, \\\"raiffeisen_imported_transactions\\\": 0, \\\"review_status\\\": [{\\\"import_readiness_status\\\": \\\"not_ready\\\", \\\"n\\\": 33, \\\"review_status\\\": \\\"open\\\", \\\"source_platform\\\": \\\"PostFinance\\\"}, {\\\"import_readiness_status\\\": \\\"review_needed\\\", \\\"n\\\": 1, \\\"review_status\\\": \\\"open\\\", \\\"source_platform\\\": \\\"PostFinance\\\"}, {\\\"import_readiness_status\\\": \\\"blocked\\\", \\\"n\\\": 4, \\\"review_status\\\": \\\"blocked\\\", \\\"source_platform\\\": \\\"Raiffeisen\\\"}, {\\\"import_readiness_status\\\": \\\"review_needed\\\", \\\"n\\\": 3, \\\"review_status\\\": \\\"open\\\", \\\"source_platform\\\": \\\"Raiffeisen\\\"}, {\\\"import_readiness_status\\\": \\\"ready_for_import\\\", \\\"n\\\": 3, \\\"review_status\\\": \\\"imported\\\", \\\"source_platform\\\": \\\"True Wealth\\\"}, {\\\"import_readiness_status\\\": \\\"not_ready\\\", \\\"n\\\": 14, \\\"review_status\\\": \\\"open\\\", \\\"source_platform\\\": \\\"True Wealth\\\"}, {\\\"import_readiness_status\\\": \\\"review_needed\\\", \\\"n\\\": 1, \\\"review_status\\\": \\\"open\\\", \\\"source_platform\\\": \\\"True Wealth\\\"}], \\\"total_return_precise_count\\\": 0, \\\"tw_initial_snapshots\\\": 3}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_HnyoCawPOay63twgrRpOftMj"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_E9DsWP1TSf3IKdjZb1HLQqiA",
"call_id": "call_E9DsWP1TSf3IKdjZb1HLQqiA",
"response_item_id": "fc_0c76e56576ffc0fb016a06fc5c97b48191aa28be9985057840",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Konsolidierter Import-, Review-Queue- und Data-Quality-Check\",\"id\":\"b6d-3\",\"status\":\"completed\"},{\"content\":\"Compile/pytest/Git-Safety/Git Status; ggf. Commit/Push\",\"id\":\"b6d-4\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Checking data quality**\n\nIt seems like I need to ensure the data quality for the cost basis is uncertain and focus on the snapshot only, without worrying about position warnings in the payload. I should check some counts and then run safety tests. Since this involves only runtime checks with no code changes, the `check_data_quality` function might have been created without any code commits. However, I need to compile and run `pytest` to verify everything works correctly.",
"reasoning_content": "**Checking data quality**\n\nIt seems like I need to ensure the data quality for the cost basis is uncertain and focus on the snapshot only, without worrying about position warnings in the payload. I should check some counts and then run safety tests. Since this involves only runtime checks with no code changes, the `check_data_quality` function might have been created without any code commits. However, I need to compile and run `pytest` to verify everything works correctly.",
"codex_reasoning_items": [
{
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"encrypted_content": "gAAAAABqBvxcfK5-B1uChXMy2Z0INSVPNs4ROwSaPaeLQYCKf9lNjcE_Vo-G0SC07xvzqeYg-DvAeF3aUduRbsu6-LFubPvGNObj-6kLVU57PtBJbMhAK7gAvX4Gl9U3byVN3Pebn984hUiA0_YUw-UVaNTLS5jPj-eAN6cxxfPxPJWUW2layVcjI9wBq1iMOtmzIrGOoewNCLAB-V-qsTEavs0hPwWsemXKzlnwp5AcpUUP7zMmdNsLgVRqHITOPYwBZnzFf52MWPDKFUhfQ2md3I0ODHA6NgiU_OQ_l2pysBe_YY695IuQK8Ulxj0u0giGXevrEOee-yGMJHr7tOqhXN747lv-kfdhaYD6WehnVRNPPzrd_Joyrd_AmVSQ0NsQ0P6lGFoCmb2o5I1LME_ZYaE3rA6zpd4jFhk1h76VVJ9bOPf2x-yduuawjUnsKzSOGZ7ikT4m8DS3X3ic9gLRrWSRYbAjcZgtN9ILGrfqf3Vn9ZL-GOQr5wEybD5BKpY9QG1MMlH0UxiT8M_F8UDlePfR_Z_esvgqxpuRz20G2ffd3W1F2fzA2E9ccd2QJKO8AdP9boJ2Uqvjpgp6oNg4CM-QZTYAJdi0IJGqMU4qC3jpKpUx6qHWdcOE_dxtQBC8jVQN0DwdT8RPzNFnZAif8m9An7ChUH1R2a2dERQcaIBAci3wV2ttWp6m5PAxxUpbSeRKWEaYobf9gDjsK4TBaj3d2l9EbvnJgdyIsK8ec0PgZClEdr9YD64FZjA0liZxiIoPRxQtCjiiotOOLz-JKt8aCbl9uNa4flBYOMSzyNfunwF4ylsKUgSwVwkTpPpb37mcCUtzmkFTMZffVk61Uo5uEWTayrMC347jND5BTVZE2N_Rc9RteluUj5DoglqWgHAK8ZsDABWG3oUoSgLBKL2Qv7dqfrdyP6MhJHjyU_49wrMsjfjB15QA0-2oa-bvYHi4_pwkTapaYXUnaXZk58DSz8AT8f69GS7WUSxVk-sGE2ObCfZB-9zVMyWYPljDgqgzIfR-m55AiLJ7X8CJVcSIRUCYy2-v0BzahDoTIQ60nZjPGSjLG-LGhOPU-khGiS4cIDujvvcO-PUDG_UIN7WUOqcNJaL0lPJcZpW9IEu55uRh2bS6XKzl52wC78f6yS-lln5Xy4NtEzV9n6WESyA6Row_WPbE1aej2HLF4SG_su5qdNN5GTVSFdQWwSWbl0qHwpltQ5fsa2p8J9--Kh44BsmVdQ==",
"id": "rs_0c76e56576ffc0fb016a06fc59d9fc8191bf553e78552f85d7",
"summary": [
{
"type": "summary_text",
"text": "**Checking data quality**\n\nIt seems like I need to ensure the data quality for the cost basis is uncertain and focus on the snapshot only, without worrying about position warnings in the payload. I should check some counts and then run safety tests. Since this involves only runtime checks with no code changes, the `check_data_quality` function might have been created without any code commits. However, I need to compile and run `pytest` to verify everything works correctly."
}
]
}
]
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"b6d-1\", \"content\": \"Crypto-Stale-Alerts prüfen, resolve-fixed/Price Refresh falls nötig aggregiert\", \"status\": \"completed\"}, {\"id\": \"b6d-2\", \"content\": \"Drittes remaining True-Wealth-ready Item mit Backup/Verify importieren\", \"status\": \"completed\"}, {\"id\": \"b6d-3\", \"content\": \"Konsolidierter Import-, Review-Queue- und Data-Quality-Check\", \"status\": \"completed\"}, {\"id\": \"b6d-4\", \"content\": \"Compile/pytest/Git-Safety/Git Status; ggf. Commit/Push\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}",
"tool_call_id": "call_E9DsWP1TSf3IKdjZb1HLQqiA"
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{
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"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\\nPYTHONPATH=src python - <<'PY'\\nimport json\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nprint(json.dumps({\\n 'tw_initial_snapshots': conn.execute(\\\"SELECT COUNT(*) n FROM transactions WHERE source_type='broker_import_reviewed_snapshot' AND transaction_type='initial_position_snapshot'\\\").fetchone()['n'],\\n 'ready_planned': conn.execute(\\\"SELECT COUNT(*) n FROM broker_import_execution_plans WHERE source_platform='True Wealth' AND payload_status='ready' AND execution_status='planned'\\\").fetchone()['n'],\\n 'crypto_stale_active': conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='crypto_price_stale' AND status='active'\\\").fetchone()['n'],\\n 'crypto_stale_resolved': conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='crypto_price_stale' AND status='resolved'\\\").fetchone()['n'],\\n 'missing_fx_active': conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='missing_fx' AND status='active'\\\").fetchone()['n'],\\n 'missing_market_price_active': conn.execute(\\\"SELECT COUNT(*) n FROM alerts WHERE rule_id='missing_market_price' AND status='active'\\\").fetchone()['n'],\\n}, sort_keys=True))\\nPY\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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"content": "{\"output\": \"........................................................................ [ 45%]\\n........................................................................ [ 90%]\\n................ [100%]\\n160 passed in 7.97s\\nGIT_SAFETY_OK\\n## main...origin/main\\n{\\\"crypto_stale_active\\\": 0, \\\"crypto_stale_resolved\\\": 14, \\\"missing_fx_active\\\": 3, \\\"missing_market_price_active\\\": 3, \\\"ready_planned\\\": 0, \\\"tw_initial_snapshots\\\": 3}\", \"exit_code\": 0, \"error\": null}",
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"content": "{\"todos\": [{\"id\": \"b6d-1\", \"content\": \"Crypto-Stale-Alerts prüfen, resolve-fixed/Price Refresh falls nötig aggregiert\", \"status\": \"completed\"}, {\"id\": \"b6d-2\", \"content\": \"Drittes remaining True-Wealth-ready Item mit Backup/Verify importieren\", \"status\": \"completed\"}, {\"id\": \"b6d-3\", \"content\": \"Konsolidierter Import-, Review-Queue- und Data-Quality-Check\", \"status\": \"completed\"}, {\"id\": \"b6d-4\", \"content\": \"Compile/pytest/Git-Safety/Git Status; ggf. Commit/Push\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}",
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"content": "Phase B6d ist abgeschlossen, Sir.\n\n## Kurzfazit\n\n- Crypto-Stale-Alert-Bereinigung: **sauber**\n- Dritter True-Wealth-Mini-Import durchgeführt: **ja**\n- Neue Transaktionen: **1**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen insgesamt: **3**\n- Remaining ready planned True-Wealth Items: **0**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- PostFinance importiert: **nein**\n- Raiffeisen importiert: **nein**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**, `main...origin/main`\n- Code geändert: **nein**\n- Commit/Push nötig: **nein**\n- Letzter Code-Commit bleibt: `374fdd5`\n\nKeine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte wurden ausgegeben.\n\n---\n\n## 1. Crypto-Stale-Alerts geklärt\n\n### Ergebnis\n\n- Active crypto stale alerts vorher: **0**\n- Active crypto stale alerts nachher: **0**\n- Bereits resolved stale alerts: **14**\n- Durch `--resolve-fixed` neu resolved in diesem Lauf: **0**\n- Aktive Crypto Assets: **20**\n- Assets mit frischem lokalem CHF-Preis: **20**\n- Warnings: **0**\n- Errors: **0**\n\nAusgeführt:\n\n```bash\nfinance check-data-quality --scope crypto --resolve-fixed --currency CHF\n```\n\nErgebnis:\n\n- `active_crypto_assets=20`\n- `fresh_price_assets=20`\n- `active_stale_price_alerts_before=0`\n- `active_stale_price_alerts_after=0`\n- `resolved_alerts=0`\n- `warnings=0`\n- `errors=0`\n\n### Warum standen im B6c-Bericht noch „14 stale crypto price Alerts“?\n\nDas war **kein aktiver Lifecycle-Bug**.\n\nUrsache:\n\n- Die B6c-Zählung hatte die Alerts aggregiert, aber nicht sauber nach `status='active'` gefiltert.\n- Die 14 `crypto_price_stale` Alerts waren bereits **resolved**.\n- Sie bleiben historisch in der Tabelle erhalten, wie vorgesehen.\n- Aktive stale Crypto-Alerts gab es zum Start von B6d bereits **0**.\n\nBewertung:\n\n- Kein Rule-ID-Konflikt.\n- Kein alter Fingerprint-Problem.\n- Kein unresolved Lifecycle-Bug.\n- Es war eine Reporting-/Interpretationsunschärfe: historische resolved Alerts wurden als „bestehend“ erwähnt.\n\nSehr menschlich. Also natürlich ärgerlich.\n\n---\n\n## 2. Dritter True-Wealth-Mini-Import\n\nVorher:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Git-Safety vorher unauffällig aus vorheriger Phase / nachher geprüft\n\nImport:\n\n- Dritter Mini-Import durchgeführt: **ja**\n- Genau 1 Position importiert: **ja**\n- Neue produktive Transaktionen: **1**\n- `transaction_type = initial_position_snapshot`: **ja**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- Execution Plan verknüpft: **ja**\n- Review Item Status aktualisiert: **ja**\n- Audit-Log geschrieben: **ja**\n- Row Hash / Execution Plan Re-Import-Schutz bleibt aktiv: **ja**\n- Keine Massenübernahme: **ja**\n- Keine anderen True-Wealth/PostFinance/Raiffeisen-Items importiert: **ja**\n- Keine echten Dateien ins Git: **ja**\n- Keine direkten `positions_snapshot` Writes: **ja**\n- Keine Cash-Snapshots: **ja**\n\nStatus nach Import:\n\n- Produktive True-Wealth Initial-Snapshot-Transaktionen insgesamt: **3**\n- Remaining ready planned True-Wealth Items: **0**\n- `positions_snapshot` Rows: **0**\n- `cash_balances` Rows: **0**\n\n---\n\n## 3. Konsolidierter True-Wealth-Import-Check\n\nAlle 3 produktiven True-Wealth Initial-Snapshot-Transaktionen geprüft.\n\n### Core-Felder\n\nAlle 3 haben:\n\n- `account_id`: **ja**\n- `instrument_id`: **ja**\n- `quantity`: **ja**\n- quantity Decimal-parsebar: **3 / 3**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- `source_id / execution_plan_id`: **ja**\n- linked `review_item_id`: **ja**\n- Audit-Log: **ja**\n- Review Item Status `imported`: **ja**\n- Execution Plan Status `imported`: **ja**\n\nAudit:\n\n- Import-bezogene Audit Events: **6**\n - je Import Execution\n - je Review Item imported Marker\n\n### Duplicate Checks\n\nKeine Duplikate nach:\n\n- `execution_plan_id`: **0**\n- `row_hash`: **0**\n- `account_id + instrument_id + snapshot_date`: **0**\n\n### Ledger / Dashboard\n\n- Positionen aus Ledger berechenbar: **ja**\n- Berechnete Positionen: **3**\n- Portfolio/Equity-Seite erkennt Positionen: **ja**\n- Dashboard Positions Count: **3**\n- Total Return / Performance präzise behauptet: **nein**\n- Total Return präzise berechnet trotz fehlender Daten: **0 Fälle**\n\nDas System tut also nicht so, als könne es aus halber Historie eine perfekte Performance zaubern. Sehr beruhigend.\n\n---\n\n## 4. Review Queue und Data Quality Center\n\n### True Wealth\n\nStatus:\n\n- imported / ready_for_import: **3**\n- remaining ready_for_import planned: **0**\n- open / not_ready: **14**\n- open / review_needed: **1**\n\n### PostFinance\n\nStatus:\n\n- open / not_ready: **33**\n- open / review_needed: **1**\n- importierte PostFinance-Transaktionen: **0**\n\nUnverändert, wie verlangt.\n\n### Raiffeisen\n\nStatus:\n\n- blocked: **4**\n- open / review_needed: **3**\n- importierte Raiffeisen-Transaktionen: **0**\n\nAggregate-only bleibt faktisch blockierend; es wurde nichts importiert.\n\n### Data Quality Center\n\nAktive Data Quality Hinweise nach B6d:\n\n- `missing_fx`: **3 active**\n- `missing_market_price`: **3 active**\n- `crypto_price_stale`: **0 active**, **14 resolved historisch**\n\nKorrekt angezeigt/geführt:\n\n- importierte True-Wealth Items: **ja**\n- offene Review Items: **ja**\n- fehlende FX: **ja**\n- fehlende Market Prices: **ja**\n- veraltete aktive Crypto-Stale-Alerts, obwohl Preise frisch sind: **nein**\n\nZu den True-Wealth Initial Snapshots bleiben fachlich korrekt:\n\n- `missing_fx`\n- `missing_market_price`\n- `cost_basis_uncertain`\n- `snapshot_only`\n\nDie letzten beiden sind im Execution-/Import-Kontext geführt; die aktive Alert-Lage im Data Quality Center zeigt aktuell vor allem FX und Market Price.\n\n---\n\n## 5. Tests / Safety\n\nAusgeführt:\n\n- Compile: **OK**\n- pytest: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n\nGit:\n\n- Codeänderungen: **keine**\n- Commit erstellt: **nein**\n- Push durchgeführt: **nein**\n- Letzter Commit bleibt: `374fdd5`\n- Branch Status: `main...origin/main`\n\n---\n\n## Bericht nach Vorgabe\n\n### Crypto-Stale-Alert-Bereinigung\n\n- Active stale alerts vorher: **0**\n- Active stale alerts nachher: **0**\n- Neu resolved durch Lauf: **0**\n- Historisch bereits resolved: **14**\n- Preisstatus aggregiert:\n - aktive Crypto Assets: **20**\n - frische lokale CHF-Preise: **20**\n- Warnings/Errors: **0 / 0**\n\n### True-Wealth Mini-Import\n\n- Dritter Mini-Import durchgeführt: **ja**\n- Neue Transaktionen: **1**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen insgesamt: **3**\n- Audit-Logs vorhanden: **ja**\n- Execution Plans Status:\n - imported: **3**\n - planned ready: **0**\n- Review Items Status True Wealth:\n - imported / ready_for_import: **3**\n - open / not_ready: **14**\n - open / review_needed: **1**\n- Data Quality Warnings:\n - missing FX: **3**\n - missing market price: **3**\n - cost basis uncertain / snapshot only weiterhin fachlich relevant\n- Portfolio/Equity-Seite erkennt Positionen: **ja**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Commit Hash: **kein neuer Commit**, letzter `374fdd5`\n- Push Status: **nicht nötig**\n\n---\n\n## Empfehlung für den nächsten Schritt\n\nMeine klare Empfehlung: **C. FX-/Market-Data-Modul für Aktien/ETFs beginnen**\n\n### Begründung\n\nDie drei kontrollierten True-Wealth Initial Snapshots sind jetzt sauber im Ledger. Der Engpass ist nicht mehr der Mini-Import-Mechanismus, sondern die Datenqualität danach:\n\n- `missing_fx`: aktiv bei allen 3 importierten Positionen\n- `missing_market_price`: aktiv bei allen 3 importierten Positionen\n- Cost Basis bleibt unsicher\n- Snapshot-only bedeutet: Bestand ja, saubere Performance nein\n\nOhne FX-/Market-Data-Modul würden weitere Imports nur mehr Positionen mit denselben Quality-Warnings erzeugen. Das wäre zwar hübsch voll, aber analytisch ungefähr so präzise wie ein Schweizer Fahrplan während eines Meteoriteneinschlags.\n\n### Priorität danach\n\n1. **C — FX-/Market-Data-Modul für Aktien/ETFs**\n - FX-Kurse für Fremdwährungen\n - lokale Market Prices für ETFs/Aktien\n - klare Staleness-Regeln\n - Alert Lifecycle wie bei Crypto sauber anwenden\n\n2. Danach **A — Weitere True-Wealth-Items mappen/importieren**\n - Erst wenn die Datenqualität besser verwertet werden kann\n\n3. Danach **B — PostFinance Review/Mappings starten**\n - Größere Quelle, also besser erst nach stabiler FX/Market-Data-Basis\n\n4. **D — Data Quality / Dashboard weiter verbessern**\n - Parallel sinnvoll, aber nach FX/Market-Data deutlich nützlicher\n\nKurz: Der Importkanal funktioniert. Jetzt braucht das System bessere Markt- und FX-Sensorik, sonst importieren wir nur mehr Nebel mit Audit-Log.",
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"text": "Phase B6d ist abgeschlossen, Sir.\n\n## Kurzfazit\n\n- Crypto-Stale-Alert-Bereinigung: **sauber**\n- Dritter True-Wealth-Mini-Import durchgeführt: **ja**\n- Neue Transaktionen: **1**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen insgesamt: **3**\n- Remaining ready planned True-Wealth Items: **0**\n- Direkte `positions_snapshot` Writes: **0**\n- Cash-Snapshots: **0**\n- PostFinance importiert: **nein**\n- Raiffeisen importiert: **nein**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**, `main...origin/main`\n- Code geändert: **nein**\n- Commit/Push nötig: **nein**\n- Letzter Code-Commit bleibt: `374fdd5`\n\nKeine echten Mengen, Werte, Kontostände oder sensitiven Dateiinhalte wurden ausgegeben.\n\n---\n\n## 1. Crypto-Stale-Alerts geklärt\n\n### Ergebnis\n\n- Active crypto stale alerts vorher: **0**\n- Active crypto stale alerts nachher: **0**\n- Bereits resolved stale alerts: **14**\n- Durch `--resolve-fixed` neu resolved in diesem Lauf: **0**\n- Aktive Crypto Assets: **20**\n- Assets mit frischem lokalem CHF-Preis: **20**\n- Warnings: **0**\n- Errors: **0**\n\nAusgeführt:\n\n```bash\nfinance check-data-quality --scope crypto --resolve-fixed --currency CHF\n```\n\nErgebnis:\n\n- `active_crypto_assets=20`\n- `fresh_price_assets=20`\n- `active_stale_price_alerts_before=0`\n- `active_stale_price_alerts_after=0`\n- `resolved_alerts=0`\n- `warnings=0`\n- `errors=0`\n\n### Warum standen im B6c-Bericht noch „14 stale crypto price Alerts“?\n\nDas war **kein aktiver Lifecycle-Bug**.\n\nUrsache:\n\n- Die B6c-Zählung hatte die Alerts aggregiert, aber nicht sauber nach `status='active'` gefiltert.\n- Die 14 `crypto_price_stale` Alerts waren bereits **resolved**.\n- Sie bleiben historisch in der Tabelle erhalten, wie vorgesehen.\n- Aktive stale Crypto-Alerts gab es zum Start von B6d bereits **0**.\n\nBewertung:\n\n- Kein Rule-ID-Konflikt.\n- Kein alter Fingerprint-Problem.\n- Kein unresolved Lifecycle-Bug.\n- Es war eine Reporting-/Interpretationsunschärfe: historische resolved Alerts wurden als „bestehend“ erwähnt.\n\nSehr menschlich. Also natürlich ärgerlich.\n\n---\n\n## 2. Dritter True-Wealth-Mini-Import\n\nVorher:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Git-Safety vorher unauffällig aus vorheriger Phase / nachher geprüft\n\nImport:\n\n- Dritter Mini-Import durchgeführt: **ja**\n- Genau 1 Position importiert: **ja**\n- Neue produktive Transaktionen: **1**\n- `transaction_type = initial_position_snapshot`: **ja**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- Execution Plan verknüpft: **ja**\n- Review Item Status aktualisiert: **ja**\n- Audit-Log geschrieben: **ja**\n- Row Hash / Execution Plan Re-Import-Schutz bleibt aktiv: **ja**\n- Keine Massenübernahme: **ja**\n- Keine anderen True-Wealth/PostFinance/Raiffeisen-Items importiert: **ja**\n- Keine echten Dateien ins Git: **ja**\n- Keine direkten `positions_snapshot` Writes: **ja**\n- Keine Cash-Snapshots: **ja**\n\nStatus nach Import:\n\n- Produktive True-Wealth Initial-Snapshot-Transaktionen insgesamt: **3**\n- Remaining ready planned True-Wealth Items: **0**\n- `positions_snapshot` Rows: **0**\n- `cash_balances` Rows: **0**\n\n---\n\n## 3. Konsolidierter True-Wealth-Import-Check\n\nAlle 3 produktiven True-Wealth Initial-Snapshot-Transaktionen geprüft.\n\n### Core-Felder\n\nAlle 3 haben:\n\n- `account_id`: **ja**\n- `instrument_id`: **ja**\n- `quantity`: **ja**\n- quantity Decimal-parsebar: **3 / 3**\n- `source_type = broker_import_reviewed_snapshot`: **ja**\n- `source_id / execution_plan_id`: **ja**\n- linked `review_item_id`: **ja**\n- Audit-Log: **ja**\n- Review Item Status `imported`: **ja**\n- Execution Plan Status `imported`: **ja**\n\nAudit:\n\n- Import-bezogene Audit Events: **6**\n - je Import Execution\n - je Review Item imported Marker\n\n### Duplicate Checks\n\nKeine Duplikate nach:\n\n- `execution_plan_id`: **0**\n- `row_hash`: **0**\n- `account_id + instrument_id + snapshot_date`: **0**\n\n### Ledger / Dashboard\n\n- Positionen aus Ledger berechenbar: **ja**\n- Berechnete Positionen: **3**\n- Portfolio/Equity-Seite erkennt Positionen: **ja**\n- Dashboard Positions Count: **3**\n- Total Return / Performance präzise behauptet: **nein**\n- Total Return präzise berechnet trotz fehlender Daten: **0 Fälle**\n\nDas System tut also nicht so, als könne es aus halber Historie eine perfekte Performance zaubern. Sehr beruhigend.\n\n---\n\n## 4. Review Queue und Data Quality Center\n\n### True Wealth\n\nStatus:\n\n- imported / ready_for_import: **3**\n- remaining ready_for_import planned: **0**\n- open / not_ready: **14**\n- open / review_needed: **1**\n\n### PostFinance\n\nStatus:\n\n- open / not_ready: **33**\n- open / review_needed: **1**\n- importierte PostFinance-Transaktionen: **0**\n\nUnverändert, wie verlangt.\n\n### Raiffeisen\n\nStatus:\n\n- blocked: **4**\n- open / review_needed: **3**\n- importierte Raiffeisen-Transaktionen: **0**\n\nAggregate-only bleibt faktisch blockierend; es wurde nichts importiert.\n\n### Data Quality Center\n\nAktive Data Quality Hinweise nach B6d:\n\n- `missing_fx`: **3 active**\n- `missing_market_price`: **3 active**\n- `crypto_price_stale`: **0 active**, **14 resolved historisch**\n\nKorrekt angezeigt/geführt:\n\n- importierte True-Wealth Items: **ja**\n- offene Review Items: **ja**\n- fehlende FX: **ja**\n- fehlende Market Prices: **ja**\n- veraltete aktive Crypto-Stale-Alerts, obwohl Preise frisch sind: **nein**\n\nZu den True-Wealth Initial Snapshots bleiben fachlich korrekt:\n\n- `missing_fx`\n- `missing_market_price`\n- `cost_basis_uncertain`\n- `snapshot_only`\n\nDie letzten beiden sind im Execution-/Import-Kontext geführt; die aktive Alert-Lage im Data Quality Center zeigt aktuell vor allem FX und Market Price.\n\n---\n\n## 5. Tests / Safety\n\nAusgeführt:\n\n- Compile: **OK**\n- pytest: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n\nGit:\n\n- Codeänderungen: **keine**\n- Commit erstellt: **nein**\n- Push durchgeführt: **nein**\n- Letzter Commit bleibt: `374fdd5`\n- Branch Status: `main...origin/main`\n\n---\n\n## Bericht nach Vorgabe\n\n### Crypto-Stale-Alert-Bereinigung\n\n- Active stale alerts vorher: **0**\n- Active stale alerts nachher: **0**\n- Neu resolved durch Lauf: **0**\n- Historisch bereits resolved: **14**\n- Preisstatus aggregiert:\n - aktive Crypto Assets: **20**\n - frische lokale CHF-Preise: **20**\n- Warnings/Errors: **0 / 0**\n\n### True-Wealth Mini-Import\n\n- Dritter Mini-Import durchgeführt: **ja**\n- Neue Transaktionen: **1**\n- Produktive True-Wealth Initial-Snapshot-Transaktionen insgesamt: **3**\n- Audit-Logs vorhanden: **ja**\n- Execution Plans Status:\n - imported: **3**\n - planned ready: **0**\n- Review Items Status True Wealth:\n - imported / ready_for_import: **3**\n - open / not_ready: **14**\n - open / review_needed: **1**\n- Data Quality Warnings:\n - missing FX: **3**\n - missing market price: **3**\n - cost basis uncertain / snapshot only weiterhin fachlich relevant\n- Portfolio/Equity-Seite erkennt Positionen: **ja**\n- Backup erzeugt/verifiziert: **ja / ja**\n- Tests: **160 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Commit Hash: **kein neuer Commit**, letzter `374fdd5`\n- Push Status: **nicht nötig**\n\n---\n\n## Empfehlung für den nächsten Schritt\n\nMeine klare Empfehlung: **C. FX-/Market-Data-Modul für Aktien/ETFs beginnen**\n\n### Begründung\n\nDie drei kontrollierten True-Wealth Initial Snapshots sind jetzt sauber im Ledger. Der Engpass ist nicht mehr der Mini-Import-Mechanismus, sondern die Datenqualität danach:\n\n- `missing_fx`: aktiv bei allen 3 importierten Positionen\n- `missing_market_price`: aktiv bei allen 3 importierten Positionen\n- Cost Basis bleibt unsicher\n- Snapshot-only bedeutet: Bestand ja, saubere Performance nein\n\nOhne FX-/Market-Data-Modul würden weitere Imports nur mehr Positionen mit denselben Quality-Warnings erzeugen. Das wäre zwar hübsch voll, aber analytisch ungefähr so präzise wie ein Schweizer Fahrplan während eines Meteoriteneinschlags.\n\n### Priorität danach\n\n1. **C — FX-/Market-Data-Modul für Aktien/ETFs**\n - FX-Kurse für Fremdwährungen\n - lokale Market Prices für ETFs/Aktien\n - klare Staleness-Regeln\n - Alert Lifecycle wie bei Crypto sauber anwenden\n\n2. Danach **A — Weitere True-Wealth-Items mappen/importieren**\n - Erst wenn die Datenqualität besser verwertet werden kann\n\n3. Danach **B — PostFinance Review/Mappings starten**\n - Größere Quelle, also besser erst nach stabiler FX/Market-Data-Basis\n\n4. **D — Data Quality / Dashboard weiter verbessern**\n - Parallel sinnvoll, aber nach FX/Market-Data deutlich nützlicher\n\nKurz: Der Importkanal funktioniert. Jetzt braucht das System bessere Markt- und FX-Sensorik, sonst importieren wir nur mehr Nebel mit Audit-Log."
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"content": "[M G] Sehr gut. Phase B6d ist akzeptiert.\n\nDer Stand ist sauber:\n\n* Crypto-Stale-Alerts sind bereinigt\n* 3 True-Wealth Initial-Snapshot-Transaktionen sind produktiv im Ledger\n* Remaining ready planned True-Wealth Items: 0\n* keine direkten positions_snapshot Writes\n* keine Cash-Snapshots\n* PostFinance nicht importiert\n* Raiffeisen nicht importiert\n* Backup erzeugt/verifiziert\n* Tests: 160 passed\n* Git-Safety: OK\n* Git Status clean\n* keine echten Werte/Mengen/Kontostände im Chat\n\nBitte jetzt keine weiteren Positionen importieren und keine neuen Analysefeatures wie Backtesting, Monte Carlo, Rebalancing oder Heatmaps bauen.\n\nDer nächste Schritt ist:\n\n# Phase C — FX-/Market-Data-Modul für Aktien/ETFs\n\nZiel:\nDie bereits importierten True-Wealth-Positionen und spätere Aktien-/ETF-Positionen sollen lokal bewertet werden können, ohne Live-API im Dashboard und ohne Scheingenauigkeit.\n\n## C0 — Vorprüfung: Missing-FX-Alerts validieren\n\nBitte zuerst prüfen, ob die aktuellen `missing_fx`-Alerts bei den 3 True-Wealth-Initial-Snapshots fachlich korrekt sind.\n\nPrüfen:\n\n* Welche Originalwährung ist pro importierter Transaktion gesetzt?\n* Ist die Originalwährung CHF?\n* Falls ja:\n\n * fx_rate_to_chf = 1\n * fx_source = not_needed\n * fx_status = not_needed\n * kein missing_fx Alert\n* Falls USD/EUR/andere Fremdwährung:\n\n * missing_fx bleibt korrekt, bis historische FX-Rate vorhanden ist\n\nBitte nur aggregiert berichten:\n\n* Anzahl importierte True-Wealth-Positionen\n* Anzahl CHF-Positionen\n* Anzahl Fremdwährungspositionen\n* Anzahl wirklich berechtigte missing_fx Alerts\n* Anzahl false-positive missing_fx Alerts\n* keine Werte/Mengen/Kontostände\n\nFalls false-positive Alerts existieren, bitte korrigieren:\n\n* Audit-Log schreiben\n* Data-Quality-Alert resolved setzen\n* keine stillen Änderungen ohne Audit\n* keine echten Werte im Chat\n\n## C1 — FX Provider / FX Rates Modul\n\nBitte implementiere oder erweitere das FX-Modul für historische und aktuelle FX-Kurse.\n\nAnforderungen:\n\n* CHF bleibt Basiswährung\n* CHF/CHF = 1\n* Unterstützte Währungen MVP:\n\n * USD/CHF\n * EUR/CHF\n * ggf. weitere, falls in Daten vorhanden\n* Historische FX-Rates nach Datum\n* Latest FX-Rates für aktuelle Bewertung\n* Speicherung in fx_rates\n* Keine Live-API im Dashboard\n* CLI-Command, z.B.:\n\n * finance update-fx-rates --date YYYY-MM-DD\n * finance update-fx-rates --latest\n * finance update-fx-rates --missing-only\n * finance update-fx-rates --dry-run\n* Provider-Abstraktion\n* Mock Provider für Tests\n* optional realer Provider später konfigurierbar\n* Rate-Limit/Backoff vorbereiten\n* Manual Override weiterhin möglich, aber mit Audit und Notiz\n\nData Quality:\n\n* fehlende FX erzeugt Alert\n* veraltete FX erzeugt Alert\n* gelöste FX-Probleme setzen Alert auf resolved\n* keine Alert-Flut\n\nTests:\n\n* CHF/CHF = 1\n* USD/EUR zu CHF werden gespeichert\n* fehlende FX bleibt warning/critical\n* vorhandene FX löst missing_fx Alert auf\n* Manual Override braucht Notiz und Audit\n* Dashboard liest nur lokale FX-Daten\n\n## C2 — Instrument Price Mapping für Aktien/ETFs\n\nBitte implementiere eine Mapping-Struktur für Marktpreise.\n\nGrund:\nISIN ist fachlich primär, aber viele Marktdatenanbieter brauchen Provider-Symbole wie AAPL, IWDA.AS, VWRL.SW, EUNL.DE usw.\n\nBitte Tabelle/Modell vorbereiten:\n\ninstrument_price_mappings\n\nFelder:\n\n* mapping_id\n* instrument_id\n* isin\n* ticker\n* exchange\n* currency\n* provider\n* provider_symbol\n* provider_market\n* mapping_status:\n\n * mapped\n * needs_manual_review\n * missing_provider_symbol\n * ambiguous\n * ignored\n* confidence\n* notes\n* created_at\n* updated_at\n\nRegeln:\n\n* ISIN bleibt primäre Identifikation des Instruments\n* Provider-Symbol ist Marktdaten-Mapping, nicht Instrument-Wahrheit\n* kein automatisches Preis-Mapping nur nach Name\n* Ticker ohne Exchange bleibt review-pflichtig\n* manuelle Mapping-Bestätigung erzeugt Audit-Log\n* fehlendes Provider-Symbol erzeugt Data-Quality-Hinweis\n\n## C3 — Aktien-/ETF Market Price Provider Skeleton\n\nBitte implementiere ein Market-Price-Modul für Aktien/ETFs, analog zum Crypto-Preisupdate.\n\nAnforderungen:\n\n*\nProvid\ner-Abstraktion\n* lokale Speicherung in market_prices\n* Preiswährung speichern\n* price_date\n* price_timestamp\n* close\n* optional adjusted_close\n* provider\n* provider_symbol\n* quality_status:\n\n * fresh\n * stale\n * missing\n * error\n * conflict\n* keine Live-API im Dashboard\n* Rate-Limit/Backoff vorbereiten\n* Batch/Queue vorbereiten, falls Provider es unterstützt\n* Mock Provider für Tests\n\nCLI:\n\n* finance update-market-prices --asset-class etf\n* finance update-market-prices --asset-class equity\n* finance update-market-prices --only-missing\n* finance update-market-prices --only-stale\n* finance update-market-prices --only-isin ISIN\n* finance update-market-prices --limit N\n* finance update-market-prices --dry-run\n\nFür diesen Block:\n\n* echte Provider-Integration darf minimal sein\n* wichtiger ist saubere Architektur, lokale Speicherung, Tests und Data Quality\n* keine echten Aktien-/ETF-Werte im Chat\n\n## C4 — Bewertung importierter Aktien-/ETF-Positionen\n\nBitte nach C1–C3 für die 3 True-Wealth-Positionen prüfen:\n\n* Instrument Mapping vorhanden?\n* Provider Symbol vorhanden?\n* lokaler Marktpreis vorhanden?\n* FX vorhanden oder not_needed?\n* Position kann in CHF bewertet werden?\n* falls nein: klarer Data-Quality-Hinweis\n* keine Scheingenauigkeit bei Performance/Total Return\n* keine Live-API im Dashboard\n\nBitte Dashboard/Equity-Seite so erweitern, dass sie anzeigt:\n\n* Position vorhanden\n* Preisstatus\n* FX-Status\n* Bewertungsstatus\n* Data-Quality-Status\n* Total Return nur, wenn Daten vollständig genug sind\n* ansonsten „unvollständig“ / warning\n\n## C5 — Data Quality Center erweitern\n\nBitte Data Quality Center ergänzen für Aktien/ETFs:\n\n* missing_provider_symbol\n* missing_market_price\n* stale_market_price\n* missing_fx\n* stale_fx\n* cost_basis_uncertain\n* snapshot_only\n* missing_isin\n* ambiguous_instrument_mapping\n* price_currency_mismatch\n\nAktionen:\n\n* Recheck\n* Resolve fixed alerts\n* Link zur Manual Review Queue\n* Link zum Instrument Price Mapping\n\n## C6 — Tests\n\nBitte Tests ergänzen für:\n\nFX:\n\n* CHF/CHF not_needed\n* USD/EUR FX speichern\n* missing_fx Alert\n* FX Alert wird resolved, wenn Kurs vorhanden\n* Manual Override Audit\n\nInstrument Price Mapping:\n\n* ISIN-basiertes Instrument\n* fehlendes Provider-Symbol erzeugt warning\n* Ticker ohne Exchange bleibt review-pflichtig\n* Mapping-Bestätigung erzeugt Audit\n\nMarket Prices:\n\n* Mock Provider speichert Preis\n* fehlender Preis erzeugt Alert\n* stale price erzeugt Alert\n* resolved Alert bei frischem Preis\n* Dashboard nutzt lokale Preise\n* kein Live-API beim Rendern\n\nPosition Valuation:\n\n* CHF-Position mit Preis kann bewertet werden\n* Fremdwährungsposition braucht FX\n* fehlender FX verhindert präzise CHF-Bewertung\n* fehlender Marktpreis verhindert Bewertung\n* Total Return wird nicht präzise behauptet, wenn Cost Basis/FX/Preis fehlt\n\nSafety:\n\n* keine echten Finanzdateien im Repo\n* Git-Safety OK\n\n## C7 — Produktiver vorsichtiger Lauf\n\nNach Implementierung bitte vorsichtig gegen Runtime-DB laufen lassen:\n\n1. FX-Recheck für die 3 True-Wealth-Positionen\n2. Market-Price-Mapping prüfen\n3. Preisupdate nur, wenn Provider-Mapping vorhanden ist\n4. Keine Massenprovider-Calls\n5. Keine echten Werte im Chat\n\nBericht nur aggregiert:\n\n* True-Wealth-Positionen total\n* Positionen mit FX OK/not_needed\n* Positionen mit missing FX\n* Positionen mit Market Price OK\n* Positionen mit missing Market Price\n* Positionen mit vollständiger CHF-Bewertung\n* aktive Alerts nach Kategorie\n* keine Preise, Mengen, Werte\n\n## C8 — Nach Abschluss\n\nBitte ausführen:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nWenn Code geändert wurde:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nBitte berichten:\n\n* implementierte Module\n* neue/geänderte Dateien\n* Tests\n* Testergebnis\n* Git-Safety\n* Commit Hash\n* Push Status\n* FX-Status aggregiert\n* Market-Price-Status aggregiert\n* Data-Quality-Status aggregiert\n* nächste Empfehlung\n\nWichtig:\nNoch keine weiteren True-Wealth/PostFinance/Raiffeisen-Positionen importieren, bis die drei bereits importierten True-Wealth-Positionen sauber hinsichtlich FX und Market Price behande\nlt werden."
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"content": "{\"success\": true, \"name\": \"test-driven-development\", \"description\": \"TDD: enforce RED-GREEN-REFACTOR, tests before code.\", \"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"], \"content\": \"---\\nname: test-driven-development\\ndescription: \\\"TDD: enforce RED-GREEN-REFACTOR, tests before code.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [testing, tdd, development, quality, red-green-refactor]\\n related_skills: [systematic-debugging, writing-plans, subagent-driven-development]\\n---\\n\\n# Test-Driven Development (TDD)\\n\\n## Overview\\n\\nWrite the test first. Watch it fail. Write minimal code to pass.\\n\\n**Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing.\\n\\n**Violating the letter of the rules is violating the spirit of the rules.**\\n\\n## When to Use\\n\\n**Always:**\\n- New features\\n- Bug fixes\\n- Refactoring\\n- Behavior changes\\n\\n**Exceptions (ask the user first):**\\n- Throwaway prototypes\\n- Generated code\\n- Configuration files\\n\\nThinking \\\"skip TDD just this once\\\"? Stop. That's rationalization.\\n\\n## The Iron Law\\n\\n```\\nNO PRODUCTION CODE WITHOUT A FAILING TEST FIRST\\n```\\n\\nWrite code before the test? Delete it. Start over.\\n\\n**No exceptions:**\\n- Don't keep it as \\\"reference\\\"\\n- Don't \\\"adapt\\\" it while writing tests\\n- Don't look at it\\n- Delete means delete\\n\\nImplement fresh from tests. Period.\\n\\n## Red-Green-Refactor Cycle\\n\\n### RED — Write Failing Test\\n\\nWrite one minimal test showing what should happen.\\n\\n**Good test:**\\n```python\\ndef test_retries_failed_operations_3_times():\\n attempts = 0\\n def operation():\\n nonlocal attempts\\n attempts += 1\\n if attempts < 3:\\n raise Exception('fail')\\n return 'success'\\n\\n result = retry_operation(operation)\\n\\n assert result == 'success'\\n assert attempts == 3\\n```\\nClear name, tests real behavior, one thing.\\n\\n**Bad test:**\\n```python\\ndef test_retry_works():\\n mock = MagicMock()\\n mock.side_effect = [Exception(), Exception(), 'success']\\n result = retry_operation(mock)\\n assert result == 'success' # What about retry count? Timing?\\n```\\nVague name, tests mock not real code.\\n\\n**Requirements:**\\n- One behavior per test\\n- Clear descriptive name (\\\"and\\\" in name? Split it)\\n- Real code, not mocks (unless truly unavoidable)\\n- Name describes behavior, not implementation\\n\\n### Verify RED — Watch It Fail\\n\\n**MANDATORY. Never skip.**\\n\\n```bash\\n# Use terminal tool to run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n```\\n\\nConfirm:\\n- Test fails (not errors from typos)\\n- Failure message is expected\\n- Fails because the feature is missing\\n\\n**Test passes immediately?** You're testing existing behavior. Fix the test.\\n\\n**Test errors?** Fix the error, re-run until it fails correctly.\\n\\n### GREEN — Minimal Code\\n\\nWrite the simplest code to pass the test. Nothing more.\\n\\n**Good:**\\n```python\\ndef add(a, b):\\n return a + b # Nothing extra\\n```\\n\\n**Bad:**\\n```python\\ndef add(a, b):\\n result = a + b\\n logging.info(f\\\"Adding {a} + {b} = {result}\\\") # Extra!\\n return result\\n```\\n\\nDon't add features, refactor other code, or \\\"improve\\\" beyond the test.\\n\\n**Cheating is OK in GREEN:**\\n- Hardcode return values\\n- Copy-paste\\n- Duplicate code\\n- Skip edge cases\\n\\nWe'll fix it in REFACTOR.\\n\\n### Verify GREEN — Watch It Pass\\n\\n**MANDATORY.**\\n\\n```bash\\n# Run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n\\n# Then run ALL tests to check for regressions\\npytest tests/ -q\\n```\\n\\nConfirm:\\n- Test passes\\n- Other tests still pass\\n- Output pristine (no errors, warnings)\\n\\n**Test fails?** Fix the code, not the test.\\n\\n**Other tests fail?** Fix regressions now.\\n\\n### REFACTOR — Clean Up\\n\\nAfter green only:\\n- Remove duplication\\n- Improve names\\n- Extract helpers\\n- Simplify expressions\\n\\nKeep tests green throughout. Don't add behavior.\\n\\n**If tests fail during refactor:** Undo immediately. Take smaller steps.\\n\\n### Repeat\\n\\nNext failing test for next behavior. One cycle at a time.\\n\\n## Why Order Matters\\n\\n**\\\"I'll write tests after to verify it works\\\"**\\n\\nTests written after code pass immediately. Passing immediately proves nothing:\\n- Might test the wrong thing\\n- Might test implementation, not behavior\\n- Might miss edge cases you forgot\\n- You never saw it catch the bug\\n\\nTest-first forces you to see the test fail, proving it actually tests something.\\n\\n**\\\"I already manually tested all the edge cases\\\"**\\n\\nManual testing is ad-hoc. You think you tested everything but:\\n- No record of what you tested\\n- Can't re-run when code changes\\n- Easy to forget cases under pressure\\n- \\\"It worked when I tried it\\\" ≠ comprehensive\\n\\nAutomated tests are systematic. They run the same way every time.\\n\\n**\\\"Deleting X hours of work is wasteful\\\"**\\n\\nSunk cost fallacy. The time is already gone. Your choice now:\\n- Delete and rewrite with TDD (high confidence)\\n- Keep it and add tests after (low confidence, likely bugs)\\n\\nThe \\\"waste\\\" is keeping code you can't trust.\\n\\n**\\\"TDD is dogmatic, being pragmatic means adapting\\\"**\\n\\nTDD IS pragmatic:\\n- Finds bugs before commit (faster than debugging after)\\n- Prevents regressions (tests catch breaks immediately)\\n- Documents behavior (tests show how to use code)\\n- Enables refactoring (change freely, tests catch breaks)\\n\\n\\\"Pragmatic\\\" shortcuts = debugging in production = slower.\\n\\n**\\\"Tests after achieve the same goals — it's spirit not ritual\\\"**\\n\\nNo. Tests-after answer \\\"What does this do?\\\" Tests-first answer \\\"What should this do?\\\"\\n\\nTests-after are biased by your implementation. You test what you built, not what's required. Tests-first force edge case discovery before implementing.\\n\\n## Common Rationalizations\\n\\n| Excuse | Reality |\\n|--------|---------|\\n| \\\"Too simple to test\\\" | Simple code breaks. Test takes 30 seconds. |\\n| \\\"I'll test after\\\" | Tests passing immediately prove nothing. |\\n| \\\"Tests after achieve same goals\\\" | Tests-after = \\\"what does this do?\\\" Tests-first = \\\"what should this do?\\\" |\\n| \\\"Already manually tested\\\" | Ad-hoc ≠ systematic. No record, can't re-run. |\\n| \\\"Deleting X hours is wasteful\\\" | Sunk cost fallacy. Keeping unverified code is technical debt. |\\n| \\\"Keep as reference, write tests first\\\" | You'll adapt it. That's testing after. Delete means delete. |\\n| \\\"Need to explore first\\\" | Fine. Throw away exploration, start with TDD. |\\n| \\\"Test hard = design unclear\\\" | Listen to the test. Hard to test = hard to use. |\\n| \\\"TDD will slow me down\\\" | TDD faster than debugging. Pragmatic = test-first. |\\n| \\\"Manual test faster\\\" | Manual doesn't prove edge cases. You'll re-test every change. |\\n| \\\"Existing code has no tests\\\" | You're improving it. Add tests for the code you touch. |\\n\\n## Red Flags — STOP and Start Over\\n\\nIf you catch yourself doing any of these, delete the code and restart with TDD:\\n\\n- Code before test\\n- Test after implementation\\n- Test passes immediately on first run\\n- Can't explain why test failed\\n- Tests added \\\"later\\\"\\n- Rationalizing \\\"just this once\\\"\\n- \\\"I already manually tested it\\\"\\n- \\\"Tests after achieve the same purpose\\\"\\n- \\\"Keep as reference\\\" or \\\"adapt existing code\\\"\\n- \\\"Already spent X hours, deleting is wasteful\\\"\\n- \\\"TDD is dogmatic, I'm being pragmatic\\\"\\n- \\\"This is different because...\\\"\\n\\n**All of these mean: Delete code. Start over with TDD.**\\n\\n## Verification Checklist\\n\\nBefore marking work complete:\\n\\n- [ ] Every new function/method has a test\\n- [ ] Watched each test fail before implementing\\n- [ ] Each test failed for expected reason (feature missing, not typo)\\n- [ ] Wrote minimal code to pass each test\\n- [ ] All tests pass\\n- [ ] Output pristine (no errors, warnings)\\n- [ ] Tests use real code (mocks only if unavoidable)\\n- [ ] Edge cases and errors covered\\n\\nCan't check all boxes? You skipped TDD. Start over.\\n\\n## When Stuck\\n\\n| Problem | Solution |\\n|---------|----------|\\n| Don't know how to test | Write the wished-for API. Write the assertion first. Ask the user. |\\n| Test too complicated | Design too complicated. Simplify the interface. |\\n| Must mock everything | Code too coupled. Use dependency injection. |\\n| Test setup huge | Extract helpers. Still complex? Simplify the design. |\\n\\n## Hermes Agent Integration\\n\\n### Running Tests\\n\\nUse the `terminal` tool to run tests at each step:\\n\\n```python\\n# RED — verify failure\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# GREEN — verify pass\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# Full suite — verify no regressions\\nterminal(\\\"pytest tests/ -q\\\")\\n```\\n\\n### With delegate_task\\n\\nWhen dispatching subagents for implementation, enforce TDD in the goal:\\n\\n```python\\ndelegate_task(\\n goal=\\\"Implement [feature] using strict TDD\\\",\\n context=\\\"\\\"\\\"\\n Follow test-driven-development skill:\\n 1. Write failing test FIRST\\n 2. Run test to verify it fails\\n 3. Write minimal code to pass\\n 4. Run test to verify it passes\\n 5. Refactor if needed\\n 6. Commit\\n\\n Project test command: pytest tests/ -q\\n Project structure: [describe relevant files]\\n \\\"\\\"\\\",\\n toolsets=['terminal', 'file']\\n)\\n```\\n\\n### With systematic-debugging\\n\\nBug found? Write failing test reproducing it. Follow TDD cycle. 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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import json\\n 4|import time\\n 5|import urllib.error\\n 6|import urllib.parse\\n 7|import urllib.request\\n 8|from dataclasses import dataclass, field\\n 9|from datetime import datetime, timezone\\n 10|from decimal import Decimal, InvalidOperation\\n 11|from sqlite3 import Connection\\n 12|from typing import Protocol, Sequence\\n 13|\\n 14|from jarvis_finance.imports.common import stable_id, utc_now\\n 15|from jarvis_finance.quality.alerts import create_alert\\n 16|from jarvis_finance.quality.data_quality import resolve_fixed_crypto_price_alerts\\n 17|\\n 18|\\n 19|@dataclass(frozen=True)\\n 20|class PriceQuote:\\n 21| coingecko_id: str\\n 22| currency: str\\n 23| price: Decimal | None\\n 24| provider: str = \\\"CoinGecko\\\"\\n 25| provider_timestamp: str | None = None\\n 26| quality_status: str = \\\"fresh\\\"\\n 27| error_message: str | None = None\\n 28|\\n 29|\\n 30|@dataclass\\n 31|class PriceRefreshResult:\\n 32| currency: str\\n 33| total_assets: int = 0\\n 34| updated_count: int = 0\\n 35| skipped_count: int = 0\\n 36| cached_count: int = 0\\n 37| stale_count: int = 0\\n 38| warning_count: int = 0\\n 39| error_count: int = 0\\n 40| missing_local_price_count: int = 0\\n 41| dry_run: bool = False\\n 42| written_price_ids: list[str] = field(default_factory=list)\\n 43| warnings: list[str] = field(default_factory=list)\\n 44| errors: list[str] = field(default_factory=list)\\n 45|\\n 46| @property\\n 47| def success_count(self) -> int: # backward-compatible name used by older tests/callers\\n 48| return self.updated_count\\n 49|\\n 50|\\n 51|class MarketDataProvider(Protocol):\\n 52| def get_crypto_price(self, coingecko_id: str, currency: str = \\\"CHF\\\") -> PriceQuote: ...\\n 53|\\n 54|\\n 55|class BatchMarketDataProvider(MarketDataProvider, Protocol):\\n 56| def get_crypto_prices(self, coingecko_ids: Sequence[str], currency: str = \\\"CHF\\\") -> dict[str, PriceQuote]: ...\\n 57|\\n 58|\\n 59|class ProviderRateLimitError(RuntimeError):\\n 60| pass\\n 61|\\n 62|\\n 63|class ProviderFetchError(RuntimeError):\\n 64| pass\\n 65|\\n 66|\\n 67|class CoinGeckoClient:\\n 68| def __init__(self, *, base_url: str = \\\"https://api.coingecko.com/api/v3\\\", max_retries: int = 2, initial_backoff_seconds: float = 1.0, max_backoff_seconds: float = 8.0, opener=None, sleeper=time.sleep) -> None:\\n 69| self.base_url = base_url.rstrip(\\\"/\\\")\\n 70| self.max_retries = max_retries\\n 71| self.initial_backoff_seconds = initial_backoff_seconds\\n 72| self.max_backoff_seconds = max_backoff_seconds\\n 73| self.opener = opener or urllib.request.urlopen\\n 74| self.sleeper = sleeper\\n 75|\\n 76| def get_crypto_price(self, coingecko_id: str, currency: str = \\\"CHF\\\") -> PriceQuote:\\n 77| return self.get_crypto_prices([coingecko_id], currency).get(\\n 78| coingecko_id,\\n 79| PriceQuote(coingecko_id, currency.upper(), None, quality_status=\\\"missing\\\", error_message=\\\"price missing\\\"),\\n 80| )\\n 81|\\n 82| def get_crypto_prices(self, coingecko_ids: Sequence[str], currency: str = \\\"CHF\\\") -> dict[str, PriceQuote]:\\n 83| ids = [cid for cid in dict.fromkeys(coingecko_ids) if cid]\\n 84| cur = currency.lower()\\n 85| if not ids:\\n 86| return {}\\n 87| query = urllib.parse.urlencode({\\\"ids\\\": \\\",\\\".join(ids), \\\"vs_currencies\\\": cur, \\\"include_last_updated_at\\\": \\\"true\\\"})\\n 88| url = f\\\"{self.base_url}/simple/price?{query}\\\"\\n 89| delay = self.initial_backoff_seconds\\n 90| last_error: str | None = None\\n 91| for attempt in range(self.max_retries + 1):\\n 92| try:\\n 93| with self.opener(url, timeout=20) as resp:\\n 94| payload = json.loads(resp.read().decode(\\\"utf-8\\\"))\\n 95| return {coingecko_id: self._quote_from_payload(coingecko_id, currency, payload.get(coingecko_id) or {}) for coingecko_id in ids}\\n 96| except urllib.error.HTTPError as exc:\\n 97| last_error = f\\\"HTTP {exc.code}\\\"\\n 98| if exc.code == 429 and attempt < self.max_retries:\\n 99| self.sleeper(min(delay, self.max_backoff_seconds))\\n 100| delay *= 2\\n 101| continue\\n 102| status = \\\"stale\\\" if exc.code == 429 else \\\"error\\\"\\n 103| return {cid: PriceQuote(cid, currency.upper(), None, quality_status=status, error_message=last_error) for cid in ids}\\n 104| except Exception as exc: # network skeleton must not crash dashboard jobs\\n 105| last_error = str(exc)\\n 106| if attempt < self.max_retries:\\n 107| self.sleeper(min(delay, self.max_backoff_seconds))\\n 108| delay *= 2\\n 109| continue\\n 110| return {cid: PriceQuote(cid, currency.upper(), None, quality_status=\\\"error\\\", error_message=last_error) for cid in ids}\\n 111| return {cid: PriceQuote(cid, currency.upper(), None, quality_status=\\\"error\\\", error_message=last_error) for cid in ids}\\n 112|\\n 113| @staticmethod\\n 114| def _quote_from_payload(coingecko_id: str, currency: str, data: dict) -> PriceQuote:\\n 115| cur = currency.lower()\\n 116| value = data.get(cur)\\n 117| if value is None:\\n 118| return PriceQuote(coingecko_id, currency.upper(), None, quality_status=\\\"missing\\\", error_message=\\\"price missing\\\")\\n 119| try:\\n 120| price = Decimal(str(value))\\n 121| except InvalidOperation:\\n 122| return PriceQuote(coingecko_id, currency.upper(), None, quality_status=\\\"error\\\", error_message=\\\"invalid price\\\")\\n 123| ts = data.get(\\\"last_updated_at\\\")\\n 124| provider_ts = None\\n 125| if ts:\\n 126| try:\\n 127| provider_ts = datetime.fromtimestamp(int(ts), tz=timezone.utc).isoformat()\\n 128| except (TypeError, ValueError):\\n 129| provider_ts = str(ts)\\n 130| return PriceQuote(coingecko_id, currency.upper(), price, provider_timestamp=provider_ts)\\n 131|\\n 132|\\n 133|def _parse_dt(value: str | None) -> datetime | None:\\n 134| if not value:\\n 135| return None\\n 136| try:\\n 137| dt = datetime.fromisoformat(value.replace(\\\"Z\\\", \\\"+00:00\\\"))\\n 138| except ValueError:\\n 139| return None\\n 140| return dt if dt.tzinfo else dt.replace(tzinfo=timezone.utc)\\n 141|\\n 142|\\n 143|def is_price_stale(timestamp: str | None, *, max_age_seconds: int = 86_400) -> bool:\\n 144| dt = _parse_dt(timestamp)\\n 145| if dt is None:\\n 146| return True\\n 147| return (datetime.now(timezone.utc) - dt).total_seconds() > max_age_seconds\\n 148|\\n 149|\\n 150|def latest_crypto_price_row(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\"):\\n 151| return conn.execute(\\n 152| \\\"\\\"\\\"\\n 153| SELECT * FROM crypto_prices\\n 154| WHERE asset_id=? AND price_currency=?\\n 155| ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC\\n 156| LIMIT 1\\n 157| \\\"\\\"\\\",\\n 158| (asset_id, currency.upper()),\\n 159| ).fetchone()\\n 160|\\n 161|\\n 162|def store_crypto_price(conn: Connection, *, asset_id: str, quote: PriceQuote) -> str:\\n 163| now = utc_now()\\n 164| price_id = stable_id(\\\"cryptoprice\\\", asset_id, quote.coingecko_id, quote.currency, quote.provider, now)\\n 165| conn.execute(\\n 166| \\\"\\\"\\\"\\n 167| INSERT INTO crypto_prices(crypto_price_id, asset_id, coingecko_id, price_currency, price, provider, provider_timestamp, fetched_at, quality_status, error_message)\\n 168| VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 169| \\\"\\\"\\\",\\n 170| (price_id, asset_id, quote.coingecko_id, quote.currency.upper(), format(quote.price, \\\"f\\\") if quote.price is not None else \\\"\\\", quote.provider, quote.provider_timestamp, now, quote.quality_status, quote.error_message),\\n 171| )\\n 172| if quote.quality_status in {\\\"missing\\\", \\\"stale\\\", \\\"error\\\", \\\"conflict\\\"}:\\n 173| create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"crypto_asset\\\", entity_id=asset_id, rule_id=f\\\"crypto_price_{quote.quality_status}\\\", message=f\\\"Crypto price quality is {quote.quality_status}.\\\", evidence={\\\"coingecko_id\\\": quote.coingecko_id, \\\"currency\\\": quote.currency, \\\"error\\\": quote.error_message})\\n 174| conn.commit()\\n 175| return price_id\\n 176|\\n 177|\\n 178|def _create_missing_local_price_alert(conn: Connection, *, asset_id: str, symbol: str | None, coingecko_id: str | None, currency: str) -> None:\\n 179| create_alert(\\n 180| conn,\\n 181| priority=\\\"warnung\\\",\\n 182| category=\\\"market_data\\\",\\n 183| entity_type=\\\"crypto_asset\\\",\\n 184| entity_id=asset_id,\\n 185| rule_id=\\\"crypto_price_missing_local\\\",\\n 186| message=\\\"Crypto asset has no fresh local price after refresh.\\\",\\n 187| evidence={\\\"symbol\\\": symbol, \\\"coingecko_id\\\": coingecko_id, \\\"currency\\\": currency},\\n 188| fingerprint=f\\\"crypto_price_missing_local:{currency}\\\",\\n 189| )\\n 190|\\n 191|\\n 192|def _has_fresh_local_price(conn: Connection, asset_id: str, currency: str, max_age_seconds: int) -> bool:\\n 193| latest = latest_crypto_price_row(conn, asset_id, currency)\\n 194| return bool(latest and latest[\\\"quality_status\\\"] == \\\"fresh\\\" and not is_price_stale(latest[\\\"fetched_at\\\"], max_age_seconds=max_age_seconds))\\n 195|\\n 196|\\n 197|def _filter_assets(conn: Connection, *, currency: str, max_age_seconds: int, only_missing: bool, only_stale: bool, only_symbol: str | None, limit: int | None):\\n 198| assets = conn.execute(\\\"SELECT asset_id, coingecko_id, symbol FROM crypto_assets WHERE is_active=1 ORDER BY symbol\\\").fetchall()\\n 199| filtered = []\\n 200| wanted_symbol = only_symbol.upper() if only_symbol else None\\n 201| for asset in assets:\\n 202| if wanted_symbol and (asset[\\\"symbol\\\"] or \\\"\\\").upper() != wanted_symbol:\\n 203| continue\\n 204| latest = latest_crypto_price_row(conn, asset[\\\"asset_id\\\"], currency)\\n 205| has_any = latest is not None and latest[\\\"price\\\"] not in (None, \\\"\\\") and latest[\\\"quality_status\\\"] == \\\"fresh\\\"\\n 206| is_fresh = bool(latest and latest[\\\"quality_status\\\"] == \\\"fresh\\\" and not is_price_stale(latest[\\\"fetched_at\\\"], max_age_seconds=max_age_seconds))\\n 207| is_stale = bool(latest and latest[\\\"quality_status\\\"] == \\\"fresh\\\" and is_price_stale(latest[\\\"fetched_at\\\"], max_age_seconds=max_age_seconds))\\n 208| if only_missing and has_any:\\n 209| continue\\n 210| if only_stale and not is_stale:\\n 211| continue\\n 212| filtered.append(asset)\\n 213| if limit is not None and len(filtered) >= limit:\\n 214| break\\n 215| return assets, filtered\\n 216|\\n 217|\\n 218|def _provider_get_batch(provider: MarketDataProvider, coingecko_ids: Sequence[str], currency: str) -> dict[str, PriceQuote]:\\n 219| if hasattr(provider, \\\"get_crypto_prices\\\"):\\n 220| return provider.get_crypto_prices(coingecko_ids, currency) # type: ignore[attr-defined]\\n 221| return {cid: provider.get_crypto_price(cid, currency) for cid in coingecko_ids}\\n 222|\\n 223|\\n 224|def refresh_crypto_prices(\\n 225| conn: Connection,\\n 226| *,\\n 227| provider: MarketDataProvider,\\n 228| currency: str = \\\"CHF\\\",\\n 229| max_age_seconds: int = 3600,\\n 230| only_missing: bool = False,\\n 231| only_stale: bool = False,\\n 232| only_symbol: str | None = None,\\n 233| limit: int | None = None,\\n 234| dry_run: bool = False,\\n 235| sleep_seconds: float = 0.0,\\n 236| batch_size: int = 100,\\n 237|) -> PriceRefreshResult:\\n 238| currency = currency.upper()\\n 239| result = PriceRefreshResult(currency=currency, dry_run=dry_run)\\n 240| all_assets, assets = _filter_assets(conn, currency=currency, max_age_seconds=max_age_seconds, only_missing=only_missing, only_stale=only_stale, only_symbol=only_symbol, limit=limit)\\n 241| result.total_assets = len(all_assets)\\n 242| if only_missing or only_stale or only_symbol or limit is not None:\\n 243| result.skipped_count += max(0, len(all_assets) - len(assets))\\n 244|\\n 245| request_assets = []\\n 246| for asset in assets:\\n 247| asset_id = asset[\\\"asset_id\\\"]\\n 248| if not asset[\\\"coingecko_id\\\"]:\\n 249| if not dry_run:\\n 250| create_alert(conn, priority=\\\"warnung\\\", category=\\\"crypto\\\", entity_type=\\\"crypto_asset\\\", entity_id=asset_id, rule_id=\\\"missing_coingecko_id\\\", message=\\\"Crypto asset has no CoinGecko ID; price refresh skipped.\\\", evidence={\\\"symbol\\\": asset[\\\"symbol\\\"]}, fingerprint=\\\"missing_coingecko_id\\\")\\n 251| _create_missing_local_price_alert(conn, asset_id=asset_id, symbol=asset[\\\"symbol\\\"], coingecko_id=None, currency=currency)\\n 252| result.skipped_count += 1\\n 253| result.warning_count += 1\\n 254| result.warnings.append(f\\\"{asset['symbol']}: missing_coingecko_id\\\")\\n 255| continue\\n 256| latest = latest_crypto_price_row(conn, asset_id, currency)\\n 257| if latest and latest[\\\"quality_status\\\"] == \\\"fresh\\\" and not is_price_stale(latest[\\\"fetched_at\\\"], max_age_seconds=max_age_seconds):\\n 258| result.cached_count += 1\\n 259| continue\\n 260| request_assets.append(asset)\\n 261|\\n 262| refreshed_fresh_asset_ids: set[str] = set()\\n 263| for start in range(0, len(request_assets), max(1, batch_size)):\\n 264| if start and sleep_seconds > 0:\\n 265| time.sleep(sleep_seconds)\\n 266| chunk = request_assets[start : start + max(1, batch_size)]\\n 267| ids = [asset[\\\"coingecko_id\\\"] for asset in chunk]\\n 268| try:\\n 269| quotes = _provider_get_batch(provider, ids, currency)\\n 270| except Exception as exc:\\n 271| quotes = {cid: PriceQuote(cid, currency, None, quality_status=\\\"error\\\", error_message=str(exc)) for cid in ids}\\n 272| for asset in chunk:\\n 273| quote = quotes.get(asset[\\\"coingecko_id\\\"]) or PriceQuote(asset[\\\"coingecko_id\\\"], currency, None, quality_status=\\\"missing\\\", error_message=\\\"price missing\\\")\\n 274| if not dry_run:\\n 275| price_id = store_crypto_price(conn, asset_id=asset[\\\"asset_id\\\"], quote=quote)\\n 276| result.written_price_ids.append(price_id)\\n 277| if quote.price is not None and quote.quality_status == \\\"fresh\\\":\\n 278| result.updated_count += 1\\n 279| refreshed_fresh_asset_ids.add(asset[\\\"asset_id\\\"])\\n 280| if not dry_run:\\n 281| resolve_fixed_crypto_price_alerts(conn, currency=currency, max_age_seconds=max_age_seconds)\\n 282| elif quote.quality_status in {\\\"missing\\\", \\\"stale\\\"}:\\n 283| result.warning_count += 1\\n 284| result.warnings.append(f\\\"{asset['symbol']}: {quote.quality_status}\\\")\\n 285| else:\\n 286| result.error_count += 1\\n 287| result.errors.append(f\\\"{asset['symbol']}: {quote.error_message or quote.quality_status}\\\")\\n 288| if quote.quality_status == \\\"stale\\\":\\n 289| result.stale_count += 1\\n 290| if (quote.price is None or quote.quality_status != \\\"fresh\\\") and not dry_run:\\n 291| _create_missing_local_price_alert(conn, asset_id=asset[\\\"asset_id\\\"], symbol=asset[\\\"symbol\\\"], coingecko_id=asset[\\\"coingecko_id\\\"], currency=currency)\\n 292|\\n 293| if not dry_run:\\n 294| for asset in assets:\\n 295| if asset[\\\"asset_id\\\"] in refreshed_fresh_asset_ids:\\n 296| continue\\n 297| if not _has_fresh_local_price(conn, asset[\\\"asset_id\\\"], currency, max_age_seconds):\\n 298| result.missing_local_price_count += 1\\n 299| _create_missing_local_price_alert(conn, asset_id=asset[\\\"asset_id\\\"], symbol=asset[\\\"symbol\\\"], coingecko_id=asset[\\\"coingecko_id\\\"], currency=currency)\\n 300| conn.commit()\\n 301| else:\\n 302| # Dry-run reports current known gaps plus simulated failed quotes without mutating alerts/prices.\\n 303| for asset in assets:\\n 304| if not _has_fresh_local_price(conn, asset[\\\"asset_id\\\"], currency, max_age_seconds):\\n 305| result.missing_local_price_count += 1\\n 306| return result\\n 307|\", \"total_lines\": 306, \"file_size\": 14623, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_C4BOwdRT8ezmWwSgUzxqs7rO"
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{
"role": "assistant",
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"reasoning": "**Considering schema creation**\n\nI think I need to generate an initial string for the schema. I'll start by adding a table for instrument price mappings. We have existing market prices, but I'm wondering if I should include the provider market as well. It might be a good idea to add that. I’ll also need to figure out the main command for the Command-Line Interface (CLI). Let's get this organized!",
"finish_reason": "tool_calls",
"reasoning_content": "**Considering schema creation**\n\nI think I need to generate an initial string for the schema. I'll start by adding a table for instrument price mappings. We have existing market prices, but I'm wondering if I should include the provider market as well. It might be a good idea to add that. I’ll also need to figure out the main command for the Command-Line Interface (CLI). Let's get this organized!",
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"text": "**Considering schema creation**\n\nI think I need to generate an initial string for the schema. I'll start by adding a table for instrument price mappings. We have existing market prices, but I'm wondering if I should include the provider market as well. It might be a good idea to add that. I’ll also need to figure out the main command for the Command-Line Interface (CLI). Let's get this organized!"
}
]
}
],
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"arguments": "{\"limit\":360,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
}
}
]
},
{
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import argparse\\n 4|from pathlib import Path\\n 5|\\n 6|from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n 7|from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n 8|from jarvis_finance.quality.data_quality import check_crypto_data_quality\\n 9|from jarvis_finance.quality.git_safety import assert_safe, scan_path\\n 10|from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup\\n 11|from jarvis_finance.storage.database import connect\\n 12|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n 13|\\n 14|\\n 15|def main(argv: list[str] | None = None) -> int:\\n 16| parser = argparse.ArgumentParser(prog=\\\"finance\\\")\\n 17| sub = parser.add_subparsers(dest=\\\"command\\\", required=True)\\n 18| sub.add_parser(\\\"init-db\\\")\\n 19| sub.add_parser(\\\"migrate\\\")\\n 20| scan = sub.add_parser(\\\"git-safety-scan\\\")\\n 21| scan.add_argument(\\\"path\\\", nargs=\\\"?\\\", default=\\\".\\\")\\n 22| prices = sub.add_parser(\\\"update-crypto-prices\\\")\\n 23| prices.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n 24| prices.add_argument(\\\"--max-age-seconds\\\", type=int, default=3600)\\n 25| prices.add_argument(\\\"--sleep-seconds\\\", type=float, default=0.0)\\n 26| prices.add_argument(\\\"--max-retries\\\", type=int, default=2)\\n 27| prices.add_argument(\\\"--initial-backoff\\\", type=float, default=1.0)\\n 28| prices.add_argument(\\\"--max-backoff\\\", type=float, default=8.0)\\n 29| prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n 30| prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n 31| prices.add_argument(\\\"--only-symbol\\\")\\n 32| prices.add_argument(\\\"--limit\\\", type=int)\\n 33| prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n 34| dq = sub.add_parser(\\\"check-data-quality\\\")\\n 35| dq.add_argument(\\\"--scope\\\", choices=[\\\"crypto\\\"], default=\\\"crypto\\\")\\n 36| dq.add_argument(\\\"--resolve-fixed\\\", action=\\\"store_true\\\")\\n 37| dq.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n 38| dq.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n 39| dq.add_argument(\\\"--max-age-seconds\\\", type=int, default=86_400)\\n 40| sub.add_parser(\\\"backup-runtime-db\\\")\\n 41| restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n 42| restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n 43| restore.add_argument(\\\"--yes\\\", action=\\\"store_true\\\")\\n 44| verify = sub.add_parser(\\\"verify-backup\\\")\\n 45| verify.add_argument(\\\"--file\\\", required=True)\\n 46| args = parser.parse_args(argv)\\n 47|\\n 48| if args.command in {\\\"init-db\\\", \\\"migrate\\\"}:\\n 49| settings = load_settings()\\n 50| ensure_runtime_dirs(settings)\\n 51| conn = connect(settings.db_path)\\n 52| apply_migrations(conn)\\n 53| print(f\\\"SCHEMA_VERSION={get_schema_version(conn)}\\\")\\n 54| return 0\\n 55| if args.command == \\\"git-safety-scan\\\":\\n 56| findings = scan_path(Path(args.path))\\n 57| if findings:\\n 58| for finding in findings:\\n 59| print(f\\\"{finding.path}: {finding.reason}\\\")\\n 60| return 1\\n 61| assert_safe(Path(args.path))\\n 62| print(\\\"GIT_SAFETY_OK\\\")\\n 63| return 0\\n 64| if args.command == \\\"update-crypto-prices\\\":\\n 65| settings = load_settings()\\n 66| ensure_runtime_dirs(settings)\\n 67| conn = connect(settings.db_path)\\n 68| try:\\n 69| apply_migrations(conn)\\n 70| result = refresh_crypto_prices(\\n 71| conn,\\n 72| provider=CoinGeckoClient(\\n 73| max_retries=args.max_retries,\\n 74| initial_backoff_seconds=args.initial_backoff,\\n 75| max_backoff_seconds=args.max_backoff,\\n 76| ),\\n 77| currency=args.currency,\\n 78| max_age_seconds=args.max_age_seconds,\\n 79| only_missing=args.only_missing,\\n 80| only_stale=args.only_stale,\\n 81| only_symbol=args.only_symbol,\\n 82| limit=args.limit,\\n 83| dry_run=args.dry_run,\\n 84| sleep_seconds=args.sleep_seconds,\\n 85| )\\n 86| print(\\n 87| \\\"CRYPTO_PRICE_UPDATE \\\"\\n 88| f\\\"currency={result.currency} total_assets={result.total_assets} \\\"\\n 89| f\\\"updated={result.updated_count} cached={result.cached_count} \\\"\\n 90| f\\\"skipped={result.skipped_count} stale={result.stale_count} \\\"\\n 91| f\\\"warnings={result.warning_count} errors={result.error_count} \\\"\\n 92| f\\\"assets_still_missing_local_price={result.missing_local_price_count} \\\"\\n 93| f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n 94| )\\n 95| return 1 if result.error_count else 0\\n 96| finally:\\n 97| conn.close()\\n 98| if args.command == \\\"check-data-quality\\\":\\n 99| settings = load_settings()\\n 100| ensure_runtime_dirs(settings)\\n 101| conn = connect(settings.db_path)\\n 102| try:\\n 103| apply_migrations(conn)\\n 104| result = check_crypto_data_quality(\\n 105| conn,\\n 106| currency=args.currency,\\n 107| max_age_seconds=args.max_age_seconds,\\n 108| resolve_fixed=args.resolve_fixed,\\n 109| dry_run=args.dry_run,\\n 110| )\\n 111| print(\\n 112| \\\"DATA_QUALITY_CHECK \\\"\\n 113| f\\\"scope={result.scope} active_crypto_assets={result.active_crypto_assets} \\\"\\n 114| f\\\"fresh_price_assets={result.fresh_price_assets} \\\"\\n 115| f\\\"active_stale_price_alerts_before={result.active_stale_price_alerts_before} \\\"\\n 116| f\\\"active_stale_price_alerts_after={result.active_stale_price_alerts_after} \\\"\\n 117| f\\\"resolved_alerts={result.resolved_alerts} \\\"\\n 118| f\\\"warnings={result.warnings} errors={result.errors} \\\"\\n 119| f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n 120| )\\n 121| return 1 if result.errors else 0\\n 122| finally:\\n 123| conn.close()\\n 124| if args.command == \\\"backup-runtime-db\\\":\\n 125| settings = load_settings()\\n 126| ensure_runtime_dirs(settings)\\n 127| result = backup_runtime_db(\\n 128| db_path=settings.db_path,\\n 129| backups_dir=settings.runtime_paths.backups_dir,\\n 130| repo_root=Path.cwd(),\\n 131| )\\n 132| print(\\n 133| \\\"RUNTIME_DB_BACKUP \\\"\\n 134| f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n 135| f\\\"sha256={result.sha256} size_bytes={result.size_bytes}\\\"\\n 136| )\\n 137| return 0\\n 138| if args.command == \\\"verify-backup\\\":\\n 139| result = verify_backup(backup_file=Path(args.file), repo_root=Path.cwd())\\n 140| print(\\n 141| \\\"BACKUP_VERIFY \\\"\\n 142| f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n 143| f\\\"exists={str(result.exists).lower()} checksum_ok={str(result.checksum_ok).lower()} \\\"\\n 144| f\\\"sha256={result.sha256}\\\"\\n 145| )\\n 146| return 0 if result.exists and result.checksum_ok else 1\\n 147| if args.command == \\\"restore-runtime-db\\\":\\n 148| settings = load_settings()\\n 149| ensure_runtime_dirs(settings)\\n 150| result = restore_runtime_db(\\n 151| backup_file=Path(args.backup_file),\\n 152| db_path=settings.db_path,\\n 153| repo_root=Path.cwd(),\\n 154| yes=args.yes,\\n 155| )\\n 156| print(\\n 157| \\\"RUNTIME_DB_RESTORE \\\"\\n 158| f\\\"source_file={result.source_file} restored_to={result.restored_to} \\\"\\n 159| f\\\"verified={str(result.verified).lower()}\\\"\\n 160| )\\n 161| return 0\\n 162| return 2\\n 163|\\n 164|\\n 165|if __name__ == \\\"__main__\\\":\\n 166| raise SystemExit(main())\\n 167|\", \"total_lines\": 166, \"file_size\": 7171, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_dFLnlU3oAePMOt2CsclCQjER"
},
{
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"reasoning": "**Considering TDD implementation**\n\nI'm thinking about how to implement Test-Driven Development (TDD). My plan is to write tests first, starting with the components in a single file. Once that's done, I can implement the code needed. I wonder if I could use execute_code to write those tests. I also need to inspect the dashboard pages and the data there. It might help to evaluate what fields the positions have too!",
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"reasoning_content": "**Considering TDD implementation**\n\nI'm thinking about how to implement Test-Driven Development (TDD). My plan is to write tests first, starting with the components in a single file. Once that's done, I can implement the code needed. I wonder if I could use execute_code to write those tests. I also need to inspect the dashboard pages and the data there. It might help to evaluate what fields the positions have too!",
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from dataclasses import dataclass, field\\n 4|from decimal import Decimal, ROUND_HALF_UP\\n 5|from sqlite3 import Connection\\n 6|\\n 7|from jarvis_finance.audit.log import record_audit_event\\n 8|from jarvis_finance.imports.common import stable_id, utc_now\\n 9|from jarvis_finance.quality.alerts import create_alert\\n 10|\\n 11|from .cost_basis import WeightedAverageLot\\n 12|\\n 13|MONEY = Decimal(\\\"0.01\\\")\\n 14|\\n 15|\\n 16|def _d(value: object, default: str = \\\"0\\\") -> Decimal:\\n 17| if value is None or str(value).strip() == \\\"\\\":\\n 18| return Decimal(default)\\n 19| return Decimal(str(value))\\n 20|\\n 21|\\n 22|def _money(value: Decimal | None) -> Decimal | None:\\n 23| if value is None:\\n 24| return None\\n 25| return value.quantize(MONEY, rounding=ROUND_HALF_UP)\\n 26|\\n 27|\\n 28|@dataclass\\n 29|class Position:\\n 30| account_id: str\\n 31| instrument_id: str\\n 32| quantity: Decimal = Decimal(\\\"0\\\")\\n 33| cost_basis_original: Decimal = Decimal(\\\"0\\\")\\n 34| cost_basis_chf: Decimal = Decimal(\\\"0\\\")\\n 35| average_cost_original: Decimal | None = None\\n 36| average_cost_chf: Decimal | None = None\\n 37| realized_pnl_chf: Decimal = Decimal(\\\"0\\\")\\n 38| income_chf: Decimal = Decimal(\\\"0\\\")\\n 39| fees_chf: Decimal = Decimal(\\\"0\\\")\\n 40| taxes_chf: Decimal = Decimal(\\\"0\\\")\\n 41| market_price_original: Decimal | None = None\\n 42| market_value_original: Decimal | None = None\\n 43| market_value_chf: Decimal | None = None\\n 44| unrealized_pnl_chf: Decimal | None = None\\n 45| total_return_chf: Decimal | None = None\\n 46| data_quality_status: str = \\\"ok\\\"\\n 47| quality_warnings: list[str] = field(default_factory=list)\\n 48|\\n 49|\\n 50|@dataclass\\n 51|class PositionCalculationResult:\\n 52| positions: dict[tuple[str, str], Position] = field(default_factory=dict)\\n 53| as_of_date: str | None = None\\n 54|\\n 55|\\n 56|def _latest_market_price(conn: Connection, instrument_id: str, as_of_date: str | None):\\n 57| if as_of_date:\\n 58| return conn.execute(\\n 59| \\\"\\\"\\\"\\n 60| SELECT close, currency FROM market_prices\\n 61| WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'\\n 62| ORDER BY price_date DESC, created_at DESC LIMIT 1\\n 63| \\\"\\\"\\\",\\n 64| (instrument_id, as_of_date),\\n 65| ).fetchone()\\n 66| return conn.execute(\\n 67| \\\"\\\"\\\"\\n 68| SELECT close, currency FROM market_prices\\n 69| WHERE instrument_id=? AND quality_status='ok'\\n 70| ORDER BY price_date DESC, created_at DESC LIMIT 1\\n 71| \\\"\\\"\\\",\\n 72| (instrument_id,),\\n 73| ).fetchone()\\n 74|\\n 75|\\n 76|def _add_warning(conn: Connection, pos: Position, rule_id: str, message: str) -> None:\\n 77| if rule_id not in pos.quality_warnings:\\n 78| pos.quality_warnings.append(rule_id)\\n 79| pos.data_quality_status = \\\"incomplete\\\"\\n 80| create_alert(\\n 81| conn,\\n 82| priority=\\\"kritisch\\\" if rule_id == \\\"missing_fx\\\" else \\\"warnung\\\",\\n 83| category=\\\"ledger\\\",\\n 84| entity_type=\\\"instrument\\\",\\n 85| entity_id=pos.instrument_id,\\n 86| rule_id=rule_id,\\n 87| message=message,\\n 88| evidence={\\\"account_id\\\": pos.account_id, \\\"instrument_id\\\": pos.instrument_id},\\n 89| )\\n 90|\\n 91|\\n 92|def calculate_positions(conn: Connection, *, as_of_date: str | None = None) -> PositionCalculationResult:\\n 93| result = PositionCalculationResult(as_of_date=as_of_date)\\n 94| lots: dict[tuple[str, str], WeightedAverageLot] = {}\\n 95| params: tuple[object, ...] = ()\\n 96| where = \\\"WHERE instrument_id IS NOT NULL AND COALESCE(is_voided, 0) = 0\\\"\\n 97| if as_of_date:\\n 98| where += \\\" AND trade_date <= ?\\\"\\n 99| params = (as_of_date,)\\n 100| rows = conn.execute(\\n 101| f\\\"\\\"\\\"\\n 102| SELECT * FROM transactions\\n 103| {where}\\n 104| ORDER BY account_id, instrument_id, trade_date, created_at, transaction_id\\n 105| \\\"\\\"\\\",\\n 106| params,\\n 107| ).fetchall()\\n 108| for row in rows:\\n 109| key = (row[\\\"account_id\\\"], row[\\\"instrument_id\\\"])\\n 110| pos = result.positions.setdefault(key, Position(row[\\\"account_id\\\"], row[\\\"instrument_id\\\"]))\\n 111| lot = lots.setdefault(key, WeightedAverageLot())\\n 112| t = row[\\\"transaction_type\\\"]\\n 113| qty = _d(row[\\\"quantity\\\"])\\n 114| gross = _d(row[\\\"gross_amount_original\\\"])\\n 115| fee = _d(row[\\\"fee_original\\\"])\\n 116| tax = _d(row[\\\"tax_original\\\"])\\n 117| fx = _d(row[\\\"fx_rate_to_chf\\\"], \\\"1\\\") if row[\\\"fx_rate_to_chf\\\"] is not None else None\\n 118| if fx is None or row[\\\"fx_status\\\"] == \\\"missing\\\":\\n 119| _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Historic FX is missing; precise CHF total return cannot be calculated.\\\")\\n 120| if t in {\\\"initial_position_snapshot\\\", \\\"buy\\\"}:\\n 121| if qty > 0:\\n 122| cost_original = gross + fee\\n 123| cost_chf = (gross + fee) * fx if fx is not None else Decimal(\\\"0\\\")\\n 124| lot.buy(qty, cost_original, cost_chf)\\n 125| pos.fees_chf += fee * fx if fx is not None else Decimal(\\\"0\\\")\\n 126| pos.taxes_chf += tax * fx if fx is not None else Decimal(\\\"0\\\")\\n 127| elif t in {\\\"partial_sell\\\", \\\"full_sell\\\"}:\\n 128| if qty > 0:\\n 129| proceeds_chf = (gross - fee - tax) * fx if fx is not None else Decimal(\\\"0\\\")\\n 130| lot.sell(qty, proceeds_chf)\\n 131| pos.fees_chf += fee * fx if fx is not None else Decimal(\\\"0\\\")\\n 132| pos.taxes_chf += tax * fx if fx is not None else Decimal(\\\"0\\\")\\n 133| elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n 134| income_original = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else gross - fee - tax\\n 135| if fx is not None:\\n 136| pos.income_chf += income_original * fx\\n 137| pos.fees_chf += fee * fx\\n 138| pos.taxes_chf += tax * fx\\n 139| for key, lot in lots.items():\\n 140| pos = result.positions[key]\\n 141| pos.quantity = lot.quantity.normalize()\\n 142| pos.cost_basis_original = _money(lot.cost_basis_original) or Decimal(\\\"0\\\")\\n 143| pos.cost_basis_chf = _money(lot.cost_basis_chf) or Decimal(\\\"0\\\")\\n 144| pos.average_cost_original = lot.average_cost_original\\n 145| pos.average_cost_chf = lot.average_cost_chf\\n 146| pos.realized_pnl_chf = _money(lot.realized_pnl_chf) or Decimal(\\\"0\\\")\\n 147| pos.income_chf = _money(pos.income_chf) or Decimal(\\\"0\\\")\\n 148| pos.fees_chf = _money(pos.fees_chf) or Decimal(\\\"0\\\")\\n 149| pos.taxes_chf = _money(pos.taxes_chf) or Decimal(\\\"0\\\")\\n 150| market = _latest_market_price(conn, pos.instrument_id, as_of_date)\\n 151| if market is None:\\n 152| _add_warning(conn, pos, \\\"missing_market_price\\\", \\\"Market price is missing; unrealized P&L cannot be calculated.\\\")\\n 153| else:\\n 154| pos.market_price_original = _d(market[\\\"close\\\"])\\n 155| pos.market_value_original = _money(pos.quantity * pos.market_price_original)\\n 156| # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.\\n 157| if market[\\\"currency\\\"] == \\\"CHF\\\":\\n 158| pos.market_value_chf = pos.market_value_original\\n 159| pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n 160| else:\\n 161| _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n 162| if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings:\\n 163| pos.total_return_chf = _money((pos.unrealized_pnl_chf or Decimal(\\\"0\\\")) + pos.realized_pnl_chf + pos.income_chf - pos.fees_chf - pos.taxes_chf)\\n 164| else:\\n 165| pos.total_return_chf = None\\n 166| conn.commit()\\n 167| return result\\n 168|\\n 169|\\n 170|def save_position_snapshots(conn: Connection, result: PositionCalculationResult, *, note: str) -> list[str]:\\n 171| if not note.strip():\\n 172| raise ValueError(\\\"position snapshot requires a note\\\")\\n 173| now = utc_now()\\n 174| snapshot_date = result.as_of_date or now[:10]\\n 175| ids: list[str] = []\\n 176| for (account_id, instrument_id), pos in result.positions.items():\\n 177| row = conn.execute(\\\"SELECT platform_id FROM accounts WHERE account_id=?\\\", (account_id,)).fetchone()\\n 178| platform_id = row[\\\"platform_id\\\"] if row else None\\n 179| snapshot_id = stable_id(\\\"possnap\\\", snapshot_date, account_id, instrument_id)\\n 180| conn.execute(\\n 181| \\\"\\\"\\\"\\n 182| INSERT OR REPLACE INTO positions_snapshot(\\n 183| position_snapshot_id, snapshot_date, account_id, platform_id, instrument_id,\\n 184| quantity, average_cost_original, cost_basis_original, cost_basis_chf,\\n 185| market_price_original, market_value_original, market_value_chf,\\n 186| unrealized_price_pnl_chf, realized_pnl_chf, income_chf, fees_chf,\\n 187| taxes_chf, total_return_chf, data_quality_status, created_at\\n 188| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 189| \\\"\\\"\\\",\\n 190| (\\n 191| snapshot_id, snapshot_date, account_id, platform_id, instrument_id,\\n 192| str(pos.quantity), str(pos.average_cost_original) if pos.average_cost_original is not None else None,\\n 193| str(pos.cost_basis_original), str(pos.cost_basis_chf),\\n 194| str(pos.market_price_original) if pos.market_price_original is not None else None,\\n 195| str(pos.market_value_original) if pos.market_value_original is not None else None,\\n 196| str(pos.market_value_chf) if pos.market_value_chf is not None else None,\\n 197| str(pos.unrealized_pnl_chf) if pos.unrealized_pnl_chf is not None else None,\\n 198| str(pos.realized_pnl_chf), str(pos.income_chf), str(pos.fees_chf),\\n 199| str(pos.taxes_chf), str(pos.total_return_chf) if pos.total_return_chf is not None else None,\\n 200| pos.data_quality_status, now,\\n 201| ),\\n 202| )\\n 203| record_audit_event(\\n 204| conn,\\n 205| source=\\\"ledger_positions\\\",\\n 206| action=\\\"calculate_position_snapshot\\\",\\n 207| entity_type=\\\"position_snapshot\\\",\\n 208| entity_id=snapshot_id,\\n 209| new_values={\\\"account_id\\\": account_id, \\\"instrument_id\\\": instrument_id, \\\"snapshot_date\\\": snapshot_date},\\n 210| user_text_note=note,\\n 211| confirmed=True,\\n 212| created_by=\\\"system\\\",\\n 213| )\\n 214| ids.append(snapshot_id)\\n 215| conn.commit()\\n 216| return ids\\n 217|\", \"total_lines\": 216, \"file_size\": 9842, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"reasoning": "**Planning valuations and tests**\n\nI'm looking to assess the latest quality status and possibly use fresh data. It seems I’ll need to create alert snapshots based on cost basis. To ensure everything is in check, I think it’s best to write tests first, even if the existing code might pass some of those. I'll focus on writing tests for the new modules to catch any potential failures. Let's make sure everything is well-prepared!",
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"reasoning_content": "**Planning valuations and tests**\n\nI'm looking to assess the latest quality status and possibly use fresh data. It seems I’ll need to create alert snapshots based on cost basis. To ensure everything is in check, I think it’s best to write tests first, even if the existing code might pass some of those. I'll focus on writing tests for the new modules to catch any potential failures. Let's make sure everything is well-prepared!",
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"text": "**Planning valuations and tests**\n\nI'm looking to assess the latest quality status and possibly use fresh data. It seems I’ll need to create alert snapshots based on cost basis. To ensure everything is in check, I think it’s best to write tests first, even if the existing code might pass some of those. I'll focus on writing tests for the new modules to catch any potential failures. Let's make sure everything is well-prepared!"
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"call_id": "call_IpensvIFxMjnN2q5Yd1Hxa10",
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"arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\",\"content\":\"from __future__ import annotations\\n\\nfrom decimal import Decimal\\n\\nimport pytest\\n\\nfrom jarvis_finance.fx.rates import get_fx_rate_to_chf, update_fx_rates, upsert_fx_rate\\nfrom jarvis_finance.fx.overrides import set_manual_fx_override\\nfrom jarvis_finance.fx.providers import MockFxProvider\\nfrom jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices, store_market_price\\nfrom jarvis_finance.market_data.mappings import confirm_instrument_price_mapping, ensure_instrument_price_mapping_quality\\nfrom jarvis_finance.ledger.positions import calculate_positions\\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('chf1','ETF','CHF ETF','CHETF','CH0000000001','SWX','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 test_chf_to_chf_is_not_needed_and_missing_fx_alert_resolves() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"\\\"\\\"\\n 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)\\n VALUES('tx1','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','test',1,'warning','now')\\n \\\"\\\"\\\")\\n conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al1','kritisch','ledger','instrument','chf1','missing_fx','missing','active','now')\\\")\\n\\n rate = get_fx_rate_to_chf(conn, base_currency=\\\"CHF\\\", rate_date=\\\"2025-12-31\\\", resolve_fixed=True)\\n\\n row = conn.execute(\\\"SELECT fx_rate_to_chf, fx_source, fx_status FROM transactions WHERE transaction_id='tx1'\\\").fetchone()\\n alert = conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al1'\\\").fetchone()\\n assert rate == Decimal(\\\"1\\\")\\n assert row[\\\"fx_rate_to_chf\\\"] == \\\"1\\\"\\n assert row[\\\"fx_source\\\"] == \\\"not_needed\\\"\\n assert row[\\\"fx_status\\\"] == \\\"not_needed\\\"\\n assert alert[\\\"status\\\"] == \\\"resolved\\\"\\n\\n\\ndef test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"\\\"\\\"\\n 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)\\n VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','1','USD','missing','test',1,'warning','now')\\n \\\"\\\"\\\")\\n conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-usd','kritisch','ledger','instrument','usd1','missing_fx','missing','active','now')\\\")\\n provider = MockFxProvider({('USD', 'CHF', '2025-12-31'): Decimal('0.9000'), ('EUR', 'CHF', '2025-12-31'): Decimal('0.9500')})\\n\\n result = update_fx_rates(conn, provider=provider, currencies=['USD', 'EUR'], rate_date='2025-12-31', resolve_fixed=True)\\n\\n assert result.updated_count == 2\\n assert get_fx_rate_to_chf(conn, base_currency='USD', rate_date='2025-12-31') == Decimal('0.9000')\\n assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al-usd'\\\").fetchone()[\\\"status\\\"] == \\\"resolved\\\"\\n\\n\\ndef test_manual_fx_override_requires_note_and_audit() -> None:\\n conn = setup_conn()\\n with pytest.raises(ValueError, match=\\\"note\\\"):\\n set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='')\\n\\n rate_id = set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='bank statement')\\n\\n assert rate_id\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='manual_fx_override'\\\").fetchone()[\\\"n\\\"] == 1\\n\\n\\ndef test_instrument_price_mapping_requires_provider_symbol_and_exchange_review() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"UPDATE instruments SET exchange=NULL WHERE instrument_id='usd1'\\\")\\n\\n result = ensure_instrument_price_mapping_quality(conn, instrument_id='usd1')\\n\\n assert result.mapping_status == 'missing_provider_symbol'\\n assert 'ticker_without_exchange' in result.quality_flags\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'\\\").fetchone()[\\\"n\\\"] == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id='ambiguous_instrument_mapping' AND status='active'\\\").fetchone()[\\\"n\\\"] == 1\\n\\n\\ndef test_confirm_instrument_price_mapping_writes_audit() -> None:\\n conn = setup_conn()\\n\\n mapping_id = confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='confirmed from broker')\\n\\n mapping = conn.execute(\\\"SELECT * FROM instrument_price_mappings WHERE mapping_id=?\\\", (mapping_id,)).fetchone()\\n assert mapping['mapping_status'] == 'mapped'\\n assert mapping['provider_symbol'] == 'USETF.N'\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='confirm_instrument_price_mapping'\\\").fetchone()[\\\"n\\\"] == 1\\n\\n\\ndef test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> 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='test mapping')\\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 provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\\n\\n result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n\\n assert result.updated_count == 1\\n price = conn.execute(\\\"SELECT close, quality_status FROM market_prices WHERE instrument_id='usd1'\\\").fetchone()\\n assert price['close'] == '10.25'\\n assert price['quality_status'] == 'fresh'\\n assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='mp1'\\\").fetchone()[\\\"status\\\"] == \\\"resolved\\\"\\n\\n\\ndef test_missing_and_stale_market_price_alerts_are_deduped() -> 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='test mapping')\\n provider = MockEquityPriceProvider({'USETF.N': None})\\n\\n result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n result2 = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n\\n assert result.warning_count == 1\\n assert result2.warning_count == 1\\n assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id='missing_market_price' AND status='active'\\\").fetchone()[\\\"n\\\"] == 1\\n\\n\\ndef test_position_valuation_requires_market_price_and_fx_without_fake_total_return() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"\\\"\\\"\\n 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)\\n VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','2','USD','missing','test',1,'warning','now')\\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', quality_status='fresh')\\n\\n pos = calculate_positions(conn).positions[('a1', 'usd1')]\\n\\n assert pos.market_value_chf is None\\n assert pos.total_return_chf is None\\n assert 'missing_fx' in pos.quality_warnings\\n\\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', quality_status='fresh')\\n pos2 = calculate_positions(conn).positions[('a1', 'usd1')]\\n assert pos2.market_value_chf is not None\\n assert pos2.total_return_chf is None # cost basis still incomplete for snapshot-only import\\n assert 'cost_basis_uncertain' in pos2.quality_warnings\\n\"}"
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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 = 8\\n 10|MIGRATION_NAME = \\\"008_transaction_void_corrections\\\"\\n 11|\\n 12|INSTRUMENT_OPTIONAL_COLUMNS = {\\n 13| \\\"position_category\\\": \\\"TEXT\\\",\\n 14| \\\"ter\\\": \\\"TEXT\\\",\\n 15| \\\"distribution_policy\\\": \\\"TEXT\\\",\\n 16| \\\"index_name\\\": \\\"TEXT\\\",\\n 17| \\\"fund_domicile\\\": \\\"TEXT\\\",\\n 18| \\\"benchmark\\\": \\\"TEXT\\\",\\n 19|}\\n 20|\\n 21|TEXT_AFFINITY_COLUMNS = {\\n 22| \\\"transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_original\\\", \\\"tax_original\\\", \\\"net_amount_original\\\", \\\"fx_rate_to_chf\\\", \\\"gross_amount_chf\\\", \\\"fee_chf\\\", \\\"tax_chf\\\", \\\"net_amount_chf\\\"},\\n 23| \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n 24| \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n 25| \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n 26|}\\n 27|\\n 28|\\n 29|def utc_now() -> str:\\n 30| return datetime.now(timezone.utc).isoformat()\\n 31|\\n 32|\\n 33|def checksum_sql(sql: str) -> str:\\n 34| return hashlib.sha256(sql.encode(\\\"utf-8\\\")).hexdigest()\\n 35|\\n 36|\\n 37|def get_schema_version(conn: Connection) -> int:\\n 38| row = conn.execute(\\\"SELECT MAX(version) AS version FROM schema_migrations\\\").fetchone()\\n 39| return int(row[\\\"version\\\"] or 0) if row else 0\\n 40|\\n 41|\\n 42|def _table_columns(conn: Connection, table: str) -> dict[str, str]:\\n 43| return {row[\\\"name\\\"]: (row[\\\"type\\\"] or \\\"\\\") for row in conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()}\\n 44|\\n 45|\\n 46|def _add_missing_instrument_columns(conn: Connection) -> None:\\n 47| existing = _table_columns(conn, \\\"instruments\\\")\\n 48| for name, col_type in INSTRUMENT_OPTIONAL_COLUMNS.items():\\n 49| if name not in existing:\\n 50| conn.execute(f\\\"ALTER TABLE instruments ADD COLUMN {name} {col_type}\\\")\\n 51|\\n 52|\\n 53|def _rebuild_table_with_text_columns(conn: Connection, table: str, text_columns: set[str]) -> None:\\n 54| cols = conn.execute(f\\\"PRAGMA table_info({table})\\\").fetchall()\\n 55| if not cols:\\n 56| return\\n 57| needs_rebuild = any(row[\\\"name\\\"] in text_columns and (row[\\\"type\\\"] or \\\"\\\").upper() != \\\"TEXT\\\" for row in cols)\\n 58| if not needs_rebuild:\\n 59| return\\n 60| tmp = f\\\"{table}__text_migration\\\"\\n 61| col_defs: list[str] = []\\n 62| pk_cols = [row[\\\"name\\\"] for row in cols if row[\\\"pk\\\"]]\\n 63| for row in cols:\\n 64| name = row[\\\"name\\\"]\\n 65| col_type = \\\"TEXT\\\" if name in text_columns else (row[\\\"type\\\"] or \\\"TEXT\\\")\\n 66| parts = [name, col_type]\\n 67| if row[\\\"pk\\\"] and len(pk_cols) == 1:\\n 68| parts.append(\\\"PRIMARY KEY\\\")\\n 69| if row[\\\"notnull\\\"]:\\n 70| parts.append(\\\"NOT NULL\\\")\\n 71| if row[\\\"dflt_value\\\"] is not None:\\n 72| parts.append(f\\\"DEFAULT {row['dflt_value']}\\\")\\n 73| col_defs.append(\\\" \\\".join(parts))\\n 74| if len(pk_cols) > 1:\\n 75| col_defs.append(\\\"PRIMARY KEY (\\\" + \\\", \\\".join(pk_cols) + \\\")\\\")\\n 76| conn.execute(f\\\"DROP TABLE IF EXISTS {tmp}\\\")\\n 77| conn.execute(f\\\"CREATE TABLE {tmp} (\\\" + \\\", \\\".join(col_defs) + \\\")\\\")\\n 78| names = [row[\\\"name\\\"] for row in cols]\\n 79| select_exprs = [f\\\"CAST({name} AS TEXT)\\\" if name in text_columns else name for name in names]\\n 80| conn.execute(f\\\"INSERT INTO {tmp} ({', '.join(names)}) SELECT {', '.join(select_exprs)} FROM {table}\\\")\\n 81| conn.execute(f\\\"DROP TABLE {table}\\\")\\n 82| conn.execute(f\\\"ALTER TABLE {tmp} RENAME TO {table}\\\")\\n 83| if table == \\\"crypto_holdings\\\":\\n 84| conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_crypto_holdings_asset_wallet ON crypto_holdings(asset_id, wallet_id)\\\")\\n 85|\\n 86|\\n 87|def _add_missing_columns(conn: Connection, table: str, columns: dict[str, str]) -> None:\\n 88| existing = _table_columns(conn, table)\\n 89| for name, col_type in columns.items():\\n 90| if name not in existing:\\n 91| conn.execute(f\\\"ALTER TABLE {table} ADD COLUMN {name} {col_type}\\\")\\n 92|\\n 93|\\n 94|def _create_broker_bank_mapping_tables(conn: Connection) -> None:\\n 95| conn.executescript(\\n 96| \\\"\\\"\\\"\\n 97| CREATE TABLE IF NOT EXISTS instrument_mappings (\\n 98| mapping_id TEXT PRIMARY KEY,\\n 99| source_name TEXT,\\n 100| source_platform TEXT NOT NULL,\\n 101| source_account TEXT,\\n 102| source_label TEXT NOT NULL,\\n 103| normalized_name TEXT NOT NULL,\\n 104| isin TEXT,\\n 105| ticker TEXT,\\n 106| exchange TEXT,\\n 107| currency TEXT,\\n 108| asset_class TEXT NOT NULL DEFAULT 'other',\\n 109| source_instrument_name TEXT,\\n 110| source_isin TEXT,\\n 111| source_ticker TEXT,\\n 112| source_exchange TEXT,\\n 113| source_currency TEXT,\\n 114| instrument_id TEXT REFERENCES instruments(instrument_id),\\n 115| mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 116| confidence TEXT NOT NULL DEFAULT '0',\\n 117| quality_flags_json TEXT,\\n 118| notes TEXT,\\n 119| created_at TEXT NOT NULL,\\n 120| updated_at TEXT\\n 121| );\\n 122|\\n 123| CREATE TABLE IF NOT EXISTS platform_account_mappings (\\n 124| mapping_id TEXT PRIMARY KEY,\\n 125| source_name TEXT,\\n 126| source_platform TEXT NOT NULL,\\n 127| source_platform_label TEXT,\\n 128| source_account_label TEXT NOT NULL,\\n 129| normalized_platform TEXT NOT NULL,\\n 130| normalized_account_name TEXT NOT NULL,\\n 131| source_account_type TEXT,\\n 132| account_type TEXT NOT NULL DEFAULT 'other',\\n 133| source_currency TEXT,\\n 134| currency TEXT,\\n 135| platform_id TEXT REFERENCES platforms(platform_id),\\n 136| account_id TEXT REFERENCES accounts(account_id),\\n 137| internal_platform_id TEXT REFERENCES platforms(platform_id),\\n 138| internal_account_id TEXT REFERENCES accounts(account_id),\\n 139| mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n 140| quality_flags_json TEXT,\\n 141| notes TEXT,\\n 142| created_at TEXT NOT NULL,\\n 143| updated_at TEXT\\n 144| );\\n 145|\\n 146| CREATE TABLE IF NOT EXISTS broker_import_dry_runs (\\n 147| dry_run_id TEXT PRIMARY KEY,\\n 148| source_name TEXT,\\n 149| source_platform TEXT NOT NULL,\\n 150| source_file_label TEXT,\\n 151| source_file_type TEXT NOT NULL,\\n 152| source_hash TEXT,\\n 153| source_filename_hash TEXT,\\n 154| detected_snapshot_date TEXT,\\n 155| snapshot_date_status TEXT NOT NULL DEFAULT 'missing',\\n 156| detected_sections_json TEXT NOT NULL,\\n 157| field_coverage_json TEXT,\\n 158| rows_total INTEGER NOT NULL DEFAULT 0,\\n 159| rows_position_candidates INTEGER NOT NULL DEFAULT 0,\\n 160| rows_cash_candidates INTEGER NOT NULL DEFAULT 0,\\n 161| candidate_positions INTEGER NOT NULL DEFAULT 0,\\n 162| candidate_cash_rows INTEGER NOT NULL DEFAULT 0,\\n 163| mapped_positions INTEGER NOT NULL DEFAULT 0,\\n 164| blocked_positions INTEGER NOT NULL DEFAULT 0,\\n 165| warnings_count INTEGER NOT NULL DEFAULT 0,\\n 166| errors_count INTEGER NOT NULL DEFAULT 0,\\n 167| quality_flags_json TEXT NOT NULL,\\n 168| summary_json TEXT NOT NULL DEFAULT '{}',\\n 169| created_at TEXT NOT NULL,\\n 170| notes TEXT\\n 171| );\\n 172| \\\"\\\"\\\"\\n 173| )\\n 174| _add_missing_columns(conn, \\\"instrument_mappings\\\", {\\n 175| \\\"source_name\\\": \\\"TEXT\\\",\\n 176| \\\"source_platform\\\": \\\"TEXT\\\",\\n 177| \\\"source_account\\\": \\\"TEXT\\\",\\n 178| \\\"source_label\\\": \\\"TEXT\\\",\\n 179| \\\"normalized_name\\\": \\\"TEXT\\\",\\n 180| \\\"isin\\\": \\\"TEXT\\\",\\n 181| \\\"ticker\\\": \\\"TEXT\\\",\\n 182| \\\"exchange\\\": \\\"TEXT\\\",\\n 183| \\\"currency\\\": \\\"TEXT\\\",\\n 184| \\\"asset_class\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 185| \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\n 186| })\\n 187| _add_missing_columns(conn, \\\"platform_account_mappings\\\", {\\n 188| \\\"source_platform\\\": \\\"TEXT\\\",\\n 189| \\\"normalized_platform\\\": \\\"TEXT\\\",\\n 190| \\\"normalized_account_name\\\": \\\"TEXT\\\",\\n 191| \\\"account_type\\\": \\\"TEXT DEFAULT 'other'\\\",\\n 192| \\\"currency\\\": \\\"TEXT\\\",\\n 193| \\\"internal_platform_id\\\": \\\"TEXT\\\",\\n 194| \\\"internal_account_id\\\": \\\"TEXT\\\",\\n 195| })\\n 196| _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\n 197| \\\"source_platform\\\": \\\"TEXT\\\",\\n 198| \\\"source_filename_hash\\\": \\\"TEXT\\\",\\n 199| \\\"detected_snapshot_date\\\": \\\"TEXT\\\",\\n 200| \\\"snapshot_date_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n 201| \\\"candidate_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 202| \\\"candidate_cash_rows\\\": \\\"INTEGER DEFAULT 0\\\",\\n 203| \\\"mapped_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 204| \\\"blocked_positions\\\": \\\"INTEGER DEFAULT 0\\\",\\n 205| \\\"warnings_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n 206| \\\"errors_count\\\": \\\"INTEGER DEFAULT 0\\\",\\n 207| \\\"summary_json\\\": \\\"TEXT DEFAULT '{}'\\\",\\n 208| \\\"session_status\\\": \\\"TEXT DEFAULT 'active'\\\",\\n 209| \\\"is_current\\\": \\\"INTEGER DEFAULT 0\\\",\\n 210| \\\"archived_at\\\": \\\"TEXT\\\",\\n 211| \\\"discarded_at\\\": \\\"TEXT\\\",\\n 212| })\\n 213|\\n 214|\\n 215|def _create_broker_import_review_items(conn: Connection) -> None:\\n 216| conn.executescript(\\n 217| \\\"\\\"\\\"\\n 218| CREATE TABLE IF NOT EXISTS broker_import_review_items (\\n 219| review_item_id TEXT PRIMARY KEY,\\n 220| dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n 221| source_platform TEXT NOT NULL,\\n 222| source_file_type TEXT NOT NULL,\\n 223| source_row_ref TEXT NOT NULL,\\n 224| row_hash TEXT NOT NULL,\\n 225| source_label TEXT,\\n 226| normalized_name TEXT,\\n 227| detected_asset_class TEXT,\\n 228| detected_currency TEXT,\\n 229| detected_quantity_present INTEGER NOT NULL DEFAULT 0,\\n 230| detected_market_value_present INTEGER NOT NULL DEFAULT 0,\\n 231| isin TEXT,\\n 232| ticker TEXT,\\n 233| exchange TEXT,\\n 234| mapped_instrument_id TEXT REFERENCES instruments(instrument_id),\\n 235| mapped_account_id TEXT REFERENCES accounts(account_id),\\n 236| quality_flags_json TEXT NOT NULL,\\n 237| review_status TEXT NOT NULL DEFAULT 'open',\\n 238| reviewer_note TEXT,\\n 239| created_at TEXT NOT NULL,\\n 240| updated_at TEXT\\n 241| );\\n 242| CREATE INDEX IF NOT EXISTS idx_broker_review_items_dry_run ON broker_import_review_items(dry_run_id);\\n 243| CREATE INDEX IF NOT EXISTS idx_broker_review_items_status ON broker_import_review_items(review_status);\\n 244| \\\"\\\"\\\"\\n 245| )\\n 246| _add_missing_columns(conn, \\\"broker_import_review_items\\\", {\\n 247| \\\"import_readiness_status\\\": \\\"TEXT DEFAULT 'not_ready'\\\",\\n 248| \\\"reviewer_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 249| \\\"snapshot_date_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 250| \\\"ticker_exchange_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\n 251| \\\"account_mapping_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\n 252| })\\n 253|\\n 254|def _create_broker_import_execution_plans(conn: Connection) -> None:\\n 255| conn.executescript(\\n 256| \\\"\\\"\\\"\\n 257| CREATE TABLE IF NOT EXISTS broker_import_execution_plans (\\n 258| execution_plan_id TEXT PRIMARY KEY,\\n 259| dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n 260| review_item_id TEXT NOT NULL REFERENCES broker_import_review_items(review_item_id),\\n 261| source_platform TEXT NOT NULL,\\n 262| target_account_id TEXT NOT NULL REFERENCES accounts(account_id),\\n 263| target_instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n 264| transaction_type TEXT NOT NULL DEFAULT 'initial_position_snapshot',\\n 265| snapshot_date TEXT,\\n 266| payload_status TEXT NOT NULL,\\n 267| payload_quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n 268| source_row_hash TEXT NOT NULL,\\n 269| planned_write_summary_json TEXT NOT NULL DEFAULT '{}',\\n 270| execution_status TEXT NOT NULL DEFAULT 'planned',\\n 271| transaction_id TEXT REFERENCES transactions(transaction_id),\\n 272| created_at TEXT NOT NULL,\\n 273| updated_at TEXT,\\n 274| executed_at TEXT,\\n 275| notes TEXT\\n 276| );\\n 277| CREATE UNIQUE INDEX IF NOT EXISTS idx_broker_execution_plan_review_item ON broker_import_execution_plans(review_item_id);\\n 278| 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 279| \\\"\\\"\\\"\\n 280| )\\n 281|\\n 282|def _add_transaction_void_columns(conn: Connection) -> None:\\n 283| _add_missing_columns(conn, \\\"transactions\\\", {\\n 284| \\\"is_voided\\\": \\\"INTEGER NOT NULL DEFAULT 0\\\",\\n 285| \\\"voided_at\\\": \\\"TEXT\\\",\\n 286| \\\"void_reason\\\": \\\"TEXT\\\",\\n 287| \\\"voided_by\\\": \\\"TEXT\\\",\\n 288| \\\"correction_of_transaction_id\\\": \\\"TEXT REFERENCES transactions(transaction_id)\\\",\\n 289| \\\"correction_reason\\\": \\\"TEXT\\\",\\n 290| })\\n 291| conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_voided ON transactions(is_voided)\\\")\\n 292| conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_transactions_correction_of ON transactions(correction_of_transaction_id)\\\")\\n 293|\\n 294|\\n 295|def _apply_compat_migrations(conn: Connection) -> None:\\n 296| _add_missing_instrument_columns(conn)\\n 297| for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n 298| _rebuild_table_with_text_columns(conn, table, text_columns)\\n 299| _create_broker_bank_mapping_tables(conn)\\n 300| _create_broker_import_review_items(conn)\\n 301| _create_broker_import_execution_plans(conn)\\n 302| _add_transaction_void_columns(conn)\\n 303|\\n 304|\\n 305|def apply_migrations(conn: Connection) -> None:\\n 306| conn.executescript(INITIAL_SCHEMA_SQL)\\n 307| existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n 308| if not existing_initial:\\n 309| conn.execute(\\n 310| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 311| (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n 312| )\\n 313| _apply_compat_migrations(conn)\\n 314| existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n 315| if not existing:\\n 316| conn.execute(\\n 317| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 318| (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n 319| )\\n 320| conn.commit()\\n 321|\", \"total_lines\": 320, \"file_size\": 13724, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"old_string\":\"MIGRATION_VERSION = 8\\nMIGRATION_NAME = \\\"008_transaction_void_corrections\\\"\",\"new_string\":\"MIGRATION_VERSION = 9\\nMIGRATION_NAME = \\\"009_fx_market_data_phase_c\\\"\"}"
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"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -6,8 +6,8 @@\\n \\n from .schema import INITIAL_SCHEMA_SQL\\n \\n-MIGRATION_VERSION = 8\\n-MIGRATION_NAME = \\\"008_transaction_void_corrections\\\"\\n+MIGRATION_VERSION = 9\\n+MIGRATION_NAME = \\\"009_fx_market_data_phase_c\\\"\\n \\n INSTRUMENT_OPTIONAL_COLUMNS = {\\n \\\"position_category\\\": \\\"TEXT\\\",\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\"def _create_fx_market_data_tables(conn: Connection) -> None:\\n conn.executescript(\\n \\\"\\\"\\\"\\n CREATE TABLE IF NOT EXISTS instrument_price_mappings (\\n mapping_id TEXT PRIMARY KEY,\\n instrument_id TEXT NOT NULL REFERENCES instruments(instrument_id),\\n isin TEXT,\\n ticker TEXT,\\n exchange TEXT,\\n currency TEXT,\\n provider TEXT NOT NULL,\\n provider_symbol TEXT,\\n provider_market TEXT,\\n mapping_status TEXT NOT NULL DEFAULT 'needs_manual_review',\\n confidence TEXT,\\n notes TEXT,\\n created_at TEXT NOT NULL,\\n updated_at TEXT,\\n UNIQUE(instrument_id, provider)\\n );\\n CREATE INDEX IF NOT EXISTS idx_instrument_price_mappings_status ON instrument_price_mappings(mapping_status);\\n CREATE INDEX IF NOT EXISTS idx_instrument_price_mappings_provider_symbol ON instrument_price_mappings(provider, provider_symbol);\\n \\\"\\\"\\\"\\n )\\n _add_missing_columns(conn, \\\"market_prices\\\", {\\n \\\"provider_market\\\": \\\"TEXT\\\",\\n \\\"error_message\\\": \\\"TEXT\\\",\\n })\\n conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)\\\")\\n conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\\n\\n\\ndef _apply_compat_migrations(conn: Connection) -> None:\",\"old_string\":\"def _apply_compat_migrations(conn: Connection) -> None:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom dataclasses import dataclass\\nfrom decimal import Decimal\\nfrom sqlite3 import Connection\\nfrom typing import Protocol, Sequence\\n\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.quality.alerts import create_alert\\n\\n\\nclass FxProvider(Protocol):\\n def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None: ...\\n\\n\\n@dataclass\\nclass FxUpdateResult:\\n updated_count: int = 0\\n cached_count: int = 0\\n skipped_count: int = 0\\n warning_count: int = 0\\n error_count: int = 0\\n resolved_alerts: int = 0\\n dry_run: bool = False\\n\\n\\ndef _resolve_alerts(conn: Connection, *, rule_id: str, entity_ids: Sequence[str] | None = None) -> int:\\n now = utc_now()\\n params: list[object] = [rule_id]\\n where = \\\"rule_id=? AND status='active'\\\"\\n if entity_ids is not None:\\n if not entity_ids:\\n return 0\\n where += \\\" AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in entity_ids) + \\\")\\\"\\n params.extend(entity_ids)\\n rows = conn.execute(f\\\"SELECT alert_id FROM alerts WHERE {where}\\\", tuple(params)).fetchall()\\n for row in rows:\\n conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?\\\", (now, now, row[\\\"alert_id\\\"]))\\n return len(rows)\\n\\n\\ndef _transaction_instruments_for_currency(conn: Connection, currency: str) -> list[str]:\\n return [\\n row[\\\"instrument_id\\\"]\\n for row in conn.execute(\\n \\\"\\\"\\\"\\n SELECT DISTINCT instrument_id FROM transactions\\n WHERE instrument_id IS NOT NULL AND currency_original=? AND COALESCE(is_voided,0)=0\\n \\\"\\\"\\\",\\n (currency.upper(),),\\n ).fetchall()\\n ]\\n\\n\\ndef _mark_chf_transactions_not_needed(conn: Connection) -> int:\\n now = utc_now()\\n rows = conn.execute(\\n \\\"\\\"\\\"\\n SELECT transaction_id FROM transactions\\n WHERE currency_original='CHF'\\n AND (fx_status IS NULL OR fx_status='missing' OR fx_rate_to_chf IS NULL OR fx_source IS NULL)\\n \\\"\\\"\\\"\\n ).fetchall()\\n for row in rows:\\n conn.execute(\\n \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n (now, row[\\\"transaction_id\\\"]),\\n )\\n if rows:\\n _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, \\\"CHF\\\"))\\n conn.commit()\\n return len(rows)\\n\\n\\ndef upsert_fx_rate(\\n conn: Connection,\\n *,\\n base_currency: str,\\n quote_currency: str,\\n rate_date: str,\\n rate: Decimal,\\n provider: str,\\n rate_type: str,\\n quality_status: str = \\\"fresh\\\",\\n) -> str:\\n base = base_currency.upper()\\n quote = quote_currency.upper()\\n fx_rate_id = stable_id(\\\"fx\\\", base, quote, rate_date, provider, rate_type)\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO fx_rates(\\n fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\\n rate_type, quality_status, created_at\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\\n \\\"\\\"\\\",\\n (fx_rate_id, base, quote, rate_date, format(rate, \\\"f\\\"), provider, rate_type, quality_status, utc_now()),\\n )\\n return fx_rate_id\\n\\n\\ndef latest_fx_rate(conn: Connection, *, base_currency: str, quote_currency: str = \\\"CHF\\\", rate_date: str | None = None):\\n base = base_currency.upper(); quote = quote_currency.upper()\\n if base == quote:\\n return None\\n if rate_date:\\n return conn.execute(\\n \\\"\\\"\\\"\\n SELECT * FROM fx_rates WHERE base_currency=? AND quote_currency=? AND rate_date<=? AND quality_status IN ('fresh','ok','manual')\\n ORDER BY rate_date DESC, created_at DESC LIMIT 1\\n \\\"\\\"\\\",\\n (base, quote, rate_date),\\n ).fetchone()\\n return conn.execute(\\n \\\"\\\"\\\"\\n SELECT * FROM fx_rates WHERE base_currency=? AND quote_currency=? AND quality_status IN ('fresh','ok','manual')\\n ORDER BY rate_date DESC, created_at DESC LIMIT 1\\n \\\"\\\"\\\",\\n (base, quote),\\n ).fetchone()\\n\\n\\ndef get_fx_rate_to_chf(conn: Connection, *, base_currency: str, rate_date: str | None = None, resolve_fixed: bool = False) -> Decimal | None:\\n base = base_currency.upper()\\n if base == \\\"CHF\\\":\\n _mark_chf_transactions_not_needed(conn)\\n return Decimal(\\\"1\\\")\\n row = latest_fx_rate(conn, base_currency=base, quote_currency=\\\"CHF\\\", rate_date=rate_date)\\n if row is None:\\n return None\\n if resolve_fixed:\\n _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, base))\\n conn.commit()\\n return Decimal(str(row[\\\"rate\\\"]))\\n\\n\\ndef update_fx_rates(\\n conn: Connection,\\n *,\\n provider: FxProvider,\\n currencies: Sequence[str],\\n rate_date: str,\\n latest: bool = False,\\n missing_only: bool = False,\\n dry_run: bool = False,\\n resolve_fixed: bool = True,\\n) -> FxUpdateResult:\\n result = FxUpdateResult(dry_run=dry_run)\\n for cur in dict.fromkeys(c.upper() for c in currencies):\\n if cur == \\\"CHF\\\":\\n if not dry_run:\\n _mark_chf_transactions_not_needed(conn)\\n result.cached_count += 1\\n continue\\n if missing_only and latest_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date):\\n result.cached_count += 1\\n continue\\n rate = provider.get_rate(cur, \\\"CHF\\\", None if latest else rate_date)\\n if rate is None:\\n result.warning_count += 1\\n create_alert(conn, priority=\\\"kritisch\\\", category=\\\"fx\\\", entity_type=\\\"currency_pair\\\", entity_id=f\\\"{cur}/CHF\\\", rule_id=\\\"missing_fx\\\", message=\\\"FX rate to CHF is missing.\\\", evidence={\\\"base_currency\\\": cur, \\\"quote_currency\\\": \\\"CHF\\\", \\\"rate_date\\\": rate_date}, fingerprint=f\\\"missing_fx_rate:{cur}:CHF:{rate_date}\\\")\\n continue\\n if not dry_run:\\n upsert_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date, rate=rate, provider=getattr(provider, \\\"name\\\", \\\"mock\\\"), rate_type=\\\"latest\\\" if latest else \\\"close\\\", quality_status=\\\"fresh\\\")\\n if resolve_fixed:\\n result.resolved_alerts += _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, cur))\\n result.updated_count += 1\\n if not dry_run:\\n conn.commit()\\n return result\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"}"
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom decimal import Decimal\\n\\n\\nclass MockFxProvider:\\n name = \\\"mock\\\"\\n\\n def __init__(self, rates: dict[tuple[str, str, str], Decimal | str | None]) -> None:\\n self.rates = {(a.upper(), b.upper(), d): (Decimal(str(v)) if v is not None else None) for (a, b, d), v in rates.items()}\\n\\n def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None:\\n if base_currency.upper() == quote_currency.upper():\\n return Decimal(\\\"1\\\")\\n if rate_date is None:\\n candidates = [(d, v) for (a, b, d), v in self.rates.items() if a == base_currency.upper() and b == quote_currency.upper()]\\n if not candidates:\\n return None\\n return sorted(candidates, key=lambda item: item[0])[-1][1]\\n return self.rates.get((base_currency.upper(), quote_currency.upper(), rate_date))\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/providers.py\"}"
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom decimal import Decimal\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.fx.rates import upsert_fx_rate\\n\\n\\ndef set_manual_fx_override(\\n conn: Connection,\\n *,\\n base_currency: str,\\n quote_currency: str,\\n rate_date: str,\\n rate: Decimal,\\n note: str,\\n created_by: str = \\\"system\\\",\\n) -> str:\\n if not note.strip():\\n raise ValueError(\\\"manual FX override requires a note\\\")\\n rate_id = upsert_fx_rate(\\n conn,\\n base_currency=base_currency,\\n quote_currency=quote_currency,\\n rate_date=rate_date,\\n rate=rate,\\n provider=\\\"manual_override\\\",\\n rate_type=\\\"manual\\\",\\n quality_status=\\\"manual\\\",\\n )\\n record_audit_event(\\n conn,\\n source=\\\"fx_overrides\\\",\\n action=\\\"manual_fx_override\\\",\\n entity_type=\\\"fx_rate\\\",\\n entity_id=rate_id,\\n new_values={\\\"base_currency\\\": base_currency.upper(), \\\"quote_currency\\\": quote_currency.upper(), \\\"rate_date\\\": rate_date, \\\"provider\\\": \\\"manual_override\\\"},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n conn.commit()\\n return rate_id\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/overrides.py\"}"
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom dataclasses import dataclass, field\\nfrom sqlite3 import Connection\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.quality.alerts import create_alert\\n\\n\\n@dataclass\\nclass MappingQualityResult:\\n instrument_id: str\\n mapping_status: str\\n quality_flags: list[str] = field(default_factory=list)\\n\\n\\ndef _instrument(conn: Connection, instrument_id: str):\\n row = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (instrument_id,)).fetchone()\\n if row is None:\\n raise ValueError(f\\\"instrument not found: {instrument_id}\\\")\\n return row\\n\\n\\ndef confirm_instrument_price_mapping(\\n conn: Connection,\\n *,\\n instrument_id: str,\\n provider: str,\\n provider_symbol: str,\\n provider_market: str | None,\\n confidence: str,\\n note: str,\\n created_by: str = \\\"system\\\",\\n) -> str:\\n if not note.strip():\\n raise ValueError(\\\"instrument price mapping confirmation requires a note\\\")\\n if not provider_symbol.strip():\\n raise ValueError(\\\"provider_symbol is required\\\")\\n inst = _instrument(conn, instrument_id)\\n now = utc_now()\\n mapping_id = stable_id(\\\"ipm\\\", instrument_id, provider)\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO instrument_price_mappings(\\n mapping_id, instrument_id, isin, ticker, exchange, currency, provider, provider_symbol,\\n provider_market, mapping_status, confidence, notes, created_at, updated_at\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, 'mapped', ?, ?, ?, ?)\\n ON CONFLICT(instrument_id, provider) DO UPDATE SET\\n isin=excluded.isin, ticker=excluded.ticker, exchange=excluded.exchange, currency=excluded.currency,\\n provider_symbol=excluded.provider_symbol, provider_market=excluded.provider_market,\\n mapping_status='mapped', confidence=excluded.confidence, notes=excluded.notes, updated_at=excluded.updated_at\\n \\\"\\\"\\\",\\n (mapping_id, instrument_id, inst[\\\"isin\\\"], inst[\\\"ticker\\\"], inst[\\\"exchange\\\"], inst[\\\"currency\\\"], provider, provider_symbol, provider_market, confidence, note, now, now),\\n )\\n record_audit_event(\\n conn,\\n source=\\\"instrument_price_mapping\\\",\\n action=\\\"confirm_instrument_price_mapping\\\",\\n entity_type=\\\"instrument_price_mapping\\\",\\n entity_id=mapping_id,\\n new_values={\\\"instrument_id\\\": instrument_id, \\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol, \\\"provider_market\\\": provider_market},\\n user_text_note=note,\\n confirmed=True,\\n created_by=created_by,\\n )\\n conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE status='active' AND entity_type='instrument' AND entity_id=? AND rule_id IN ('missing_provider_symbol','ambiguous_instrument_mapping')\\\", (now, now, instrument_id))\\n conn.commit()\\n return mapping_id\\n\\n\\ndef ensure_instrument_price_mapping_quality(conn: Connection, *, instrument_id: str, provider: str = \\\"mock\\\") -> MappingQualityResult:\\n inst = _instrument(conn, instrument_id)\\n existing = conn.execute(\\\"SELECT * FROM instrument_price_mappings WHERE instrument_id=? AND provider=?\\\", (instrument_id, provider)).fetchone()\\n flags: list[str] = []\\n status = existing[\\\"mapping_status\\\"] if existing else \\\"needs_manual_review\\\"\\n if existing and existing[\\\"provider_symbol\\\"] and existing[\\\"mapping_status\\\"] == \\\"mapped\\\":\\n return MappingQualityResult(instrument_id=instrument_id, mapping_status=\\\"mapped\\\", quality_flags=[])\\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 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 if status == \\\"needs_manual_review\\\":\\n status = \\\"ambiguous\\\"\\n now = utc_now()\\n mapping_id = stable_id(\\\"ipm\\\", instrument_id, provider)\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO instrument_price_mappings(mapping_id, instrument_id, isin, ticker, exchange, currency, provider, provider_symbol, provider_market, mapping_status, confidence, notes, created_at, updated_at)\\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, '0', ?, ?, ?)\\n ON CONFLICT(instrument_id, provider) DO UPDATE SET mapping_status=excluded.mapping_status, updated_at=excluded.updated_at\\n \\\"\\\"\\\",\\n (mapping_id, instrument_id, inst[\\\"isin\\\"], inst[\\\"ticker\\\"], inst[\\\"exchange\\\"], inst[\\\"currency\\\"], provider, inst[\\\"provider_symbol\\\"], inst[\\\"exchange\\\"], status, \\\",\\\".join(flags), now, now),\\n )\\n conn.commit()\\n return MappingQualityResult(instrument_id=instrument_id, mapping_status=status, quality_flags=flags)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/mappings.py\"}"
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"arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom dataclasses import dataclass, field\\nfrom decimal import Decimal\\nfrom sqlite3 import Connection\\nfrom typing import Protocol\\n\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.quality.alerts import create_alert\\n\\n\\n@dataclass(frozen=True)\\nclass EquityPriceQuote:\\n provider_symbol: str\\n currency: str\\n close: Decimal | None\\n provider: str = \\\"mock\\\"\\n provider_market: str | None = None\\n price_timestamp: str | None = None\\n adjusted_close: Decimal | None = None\\n quality_status: str = \\\"fresh\\\"\\n error_message: str | None = None\\n\\n\\n@dataclass\\nclass MarketPriceRefreshResult:\\n asset_class: str\\n total_mappings: int = 0\\n updated_count: int = 0\\n skipped_count: int = 0\\n cached_count: int = 0\\n stale_count: int = 0\\n warning_count: int = 0\\n error_count: int = 0\\n dry_run: bool = False\\n warnings: list[str] = field(default_factory=list)\\n errors: list[str] = field(default_factory=list)\\n\\n\\nclass EquityPriceProvider(Protocol):\\n name: str\\n def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote: ...\\n\\n\\nclass MockEquityPriceProvider:\\n name = \\\"mock\\\"\\n\\n def __init__(self, prices: dict[str, Decimal | str | None], *, currency: str = \\\"USD\\\") -> None:\\n self.prices = {k: (Decimal(str(v)) if v is not None else None) for k, v in prices.items()}\\n self.currency = currency.upper()\\n\\n def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n if provider_symbol not in self.prices or self.prices[provider_symbol] is None:\\n return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=None, quality_status=\\\"missing\\\", error_message=\\\"price missing\\\", provider=self.name)\\n return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=self.prices[provider_symbol], provider=self.name)\\n\\n\\ndef _resolve_market_alerts(conn: Connection, *, instrument_id: str) -> int:\\n now = utc_now()\\n rows = conn.execute(\\\"SELECT alert_id FROM alerts WHERE status='active' AND entity_type='instrument' AND entity_id=? AND rule_id IN ('missing_market_price','stale_market_price')\\\", (instrument_id,)).fetchall()\\n for row in rows:\\n conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?\\\", (now, now, row[\\\"alert_id\\\"]))\\n return len(rows)\\n\\n\\ndef store_market_price(\\n conn: Connection,\\n *,\\n instrument_id: str,\\n price_date: str,\\n close: Decimal | None,\\n currency: str,\\n provider: str,\\n provider_symbol: str | None,\\n provider_market: str | None = None,\\n price_timestamp: str | None = None,\\n adjusted_close: Decimal | None = None,\\n quality_status: str = \\\"fresh\\\",\\n error_message: str | None = None,\\n) -> str:\\n now = utc_now()\\n market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO market_prices(\\n market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n \\\"\\\"\\\",\\n (\\n market_price_id,\\n instrument_id,\\n price_date,\\n price_timestamp,\\n format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n currency.upper(),\\n provider,\\n provider_symbol,\\n quality_status,\\n now,\\n provider_market,\\n error_message,\\n ),\\n )\\n if quality_status in {\\\"missing\\\", \\\"stale\\\", \\\"error\\\", \\\"conflict\\\"} or close is None:\\n rule = \\\"stale_market_price\\\" if quality_status == \\\"stale\\\" else \\\"missing_market_price\\\"\\n create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=rule, message=\\\"Instrument local market price is not fresh.\\\", evidence={\\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol, \\\"price_date\\\": price_date, \\\"quality_status\\\": quality_status}, fingerprint=f\\\"{rule}:{provider}:{provider_symbol}\\\")\\n elif quality_status == \\\"fresh\\\":\\n _resolve_market_alerts(conn, instrument_id=instrument_id)\\n conn.commit()\\n return market_price_id\\n\\n\\ndef refresh_market_prices(\\n conn: Connection,\\n *,\\n provider: EquityPriceProvider,\\n asset_class: str,\\n price_date: str | None = None,\\n only_missing: bool = False,\\n only_stale: bool = False,\\n only_isin: str | None = None,\\n limit: int | None = None,\\n dry_run: bool = False,\\n) -> MarketPriceRefreshResult:\\n asset = asset_class.lower()\\n result = MarketPriceRefreshResult(asset_class=asset, dry_run=dry_run)\\n query = \\\"\\\"\\\"\\n SELECT m.*, i.asset_class, i.isin FROM instrument_price_mappings m\\n JOIN instruments i ON i.instrument_id=m.instrument_id\\n WHERE LOWER(i.asset_class)=? AND m.mapping_status='mapped' AND m.provider_symbol IS NOT NULL\\n ORDER BY i.isin, m.provider_symbol\\n \\\"\\\"\\\"\\n mappings = conn.execute(query, (asset,)).fetchall()\\n if only_isin:\\n mappings = [m for m in mappings if (m[\\\"isin\\\"] or \\\"\\\").upper() == only_isin.upper()]\\n if limit is not None:\\n mappings = mappings[:limit]\\n result.total_mappings = len(mappings)\\n effective_date = price_date or utc_now()[:10]\\n for mapping in mappings:\\n latest = conn.execute(\\\"SELECT * FROM market_prices WHERE instrument_id=? AND quality_status='fresh' ORDER BY price_date DESC, created_at DESC LIMIT 1\\\", (mapping[\\\"instrument_id\\\"],)).fetchone()\\n if only_missing and latest:\\n result.cached_count += 1\\n continue\\n if only_stale and latest and latest[\\\"price_date\\\"] >= effective_date:\\n result.cached_count += 1\\n continue\\n quote = provider.get_price(mapping[\\\"provider_symbol\\\"], price_date=effective_date)\\n status = quote.quality_status\\n if not dry_run:\\n store_market_price(\\n conn,\\n instrument_id=mapping[\\\"instrument_id\\\"],\\n price_date=effective_date,\\n close=quote.close,\\n currency=quote.currency or mapping[\\\"currency\\\"],\\n provider=quote.provider or provider.name,\\n provider_symbol=mapping[\\\"provider_symbol\\\"],\\n provider_market=mapping[\\\"provider_market\\\"],\\n price_timestamp=quote.price_timestamp,\\n adjusted_close=quote.adjusted_close,\\n quality_status=status,\\n error_message=quote.error_message,\\n )\\n if quote.close is not None and status == \\\"fresh\\\":\\n result.updated_count += 1\\n elif status in {\\\"missing\\\", \\\"stale\\\"}:\\n result.warning_count += 1\\n result.warnings.append(mapping[\\\"instrument_id\\\"])\\n if status == \\\"stale\\\":\\n result.stale_count += 1\\n else:\\n result.error_count += 1\\n result.errors.append(mapping[\\\"instrument_id\\\"])\\n if not dry_run:\\n conn.commit()\\n return result\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"}"
}
}
]
},
{
"role": "tool",
"name": "write_file",
"content": "{\"bytes_written\": 7286, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_Dwf2BX5CQORqYgIoqZCo0Gzd"
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{
"role": "assistant",
"content": "",
"reasoning": "**Managing market positions**\n\nI'm recognizing that I need to set positions using a fresh or okay status for the FX market. I also need to edit the latest market selection to indicate a quality status of fresh or okay. There’s some uncertainty with the initial snapshot cost basis—do I also need to check the CHF updates? If the user mentions false positives in the audit, I need to clarify there aren’t any issues, plus avoid circular dependencies in the FX rates.",
"finish_reason": "tool_calls",
"reasoning_content": "**Managing market positions**\n\nI'm recognizing that I need to set positions using a fresh or okay status for the FX market. I also need to edit the latest market selection to indicate a quality status of fresh or okay. There’s some uncertainty with the initial snapshot cost basis—do I also need to check the CHF updates? If the user mentions false positives in the audit, I need to clarify there aren’t any issues, plus avoid circular dependencies in the FX rates.",
"codex_reasoning_items": [
{
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"encrypted_content": "gAAAAABqBwJfc5tgUbFhOBPDcGiXIlZW1pNmYcaNEAMYbW14ehub3BcER1xll0OBHYvP6yjFsJNH1HhbG6mmM9TyhBBkmX4-XLr2XUMXRgaMrw8f13c9CMdDaM-kvzWRCPqyWzhhTQFu3vxEnXCV4fOBXDNkleq52fH_yJqgGYTI8QM04aOtyyt1NXL5GZDrnuctQHp1mTuJPjWXuszdG1VkrNBfWJsdaqMGxpdIx7qGp5LGPq1-DYZBBGXIfJu_K-G5FPismHFQ1uVgJm1sNNftMoO3eoKpQpcaz-XvUKjYxhS3uwu-UTWzhokQl7fVS5UrMOCkTbQLpQqtsGJFjDx5_vhAKQjawIHfmOo8yC8hcBxsU5pbspyFax7goBToykzYqmJYZoKM83dgrMwrcOvIDYJMPl-yH2S9Zb7K1QGDgj41Sei0LpXgt-eBSSkwHJgBofwYA7lT2A2luywIEdZcIYOsGG6ap5tGN4_KHirD09RzXnxT7tWGp0-Nf40B0cNZjckoUpExhA2rwE4UoZpA3M4Zq1kazhH-E8rSfb8PUHA_kdOwN3UBK9eX-KO6JP5dUe66N8nOM8ZvOk9C9HBQ8nFvOncSMQCinaca16jzt_sqY6WnyYSuFIynth0-uW6SNTLkuQpcM-lGArmLNqXVsgq9k7xITBonbtVv4U7eTWe8WcBTYlHjsxYMihn-iypDQucG92g6OaiICUX4DCiy_Gp-wFU2FY38DV0RIByEhW3FT9oLic0F0xhJzTF53WlmQ4jzddBMU3o1G59QA09-26UJvVSoz-CHnxosqiV64ibaetmjbBvWozuRRM9ip5EW7fR7uIAcX9B7TSxqrHWW4aIEEAt3oWOGgBHSfD8AoAA_qEmyQ4i5Snf3YS5QFNwSLodP4nUc_vKGqHBbuFx4OWqw3FqFNqq0fEBhZ1ouSkLy5k1I7Et13A2u68nOs7BO7cFB2K49cOVdpAqOEU0xrBUdY8WKpPTqY7uwIR6rQI8hvh4w3YCqiMcz9kWB8dIraN-z6GPklnzUsaykgYo1TMuH2eIk8A7OGEj-ttQ-zO_H4lJEJHqCBcsKA9Fb_LDVPfRUTxOHz8Nc5L34P-HinZzu-jHXvqEG3P3rpXKkMnsfUzpY73OHkDwl1kntxbLqBCswOJJHoCKztd9jUDxRbK065pdBLFOobLOlm8FbyGs_P5bPvzhRnNWyb3xe_N2_I-k9Amfxl2N1cv-t0mFcs24PYcd2vZAJXBKMa0-vkQp9ClC72SaCFSDbsfZYLVb2yZxunGHx0wKcw03BodZxD72cIUVq4qZmhEP4OtPdDzJ95Lgl6hTVEmB4qbnCya0YzZQnRz5-LNB_s-izuIhm5PLTUEFXatEZMpMLoGVuRiIxdQa3fXaR19X9BnuolvqnJsq3JtNB",
"id": "rs_0c76e56576ffc0fb016a07025ba0fc819187be9e74e79fed56",
"summary": [
{
"type": "summary_text",
"text": "**Managing market positions**\n\nI'm recognizing that I need to set positions using a fresh or okay status for the FX market. I also need to edit the latest market selection to indicate a quality status of fresh or okay. There’s some uncertainty with the initial snapshot cost basis—do I also need to check the CHF updates? If the user mentions false positives in the audit, I need to clarify there aren’t any issues, plus avoid circular dependencies in the FX rates."
}
]
}
],
"tool_calls": [
{
"id": "call_gs1MQirIgtmAdLkRwFakl90P",
"call_id": "call_gs1MQirIgtmAdLkRwFakl90P",
"response_item_id": "fc_0c76e56576ffc0fb016a07025fbc288191bc8c8b5e47af9343",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.quality.alerts import create_alert\\nfrom jarvis_finance.fx.rates import latest_fx_rate\",\"old_string\":\"from jarvis_finance.quality.alerts import create_alert\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -7,6 +7,7 @@\\n from jarvis_finance.audit.log import record_audit_event\\n from jarvis_finance.imports.common import stable_id, utc_now\\n from jarvis_finance.quality.alerts import create_alert\\n+from jarvis_finance.fx.rates import latest_fx_rate\\n \\n from .cost_basis import WeightedAverageLot\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_gs1MQirIgtmAdLkRwFakl90P"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_2DuesTqaKUos2MsdwUx8Ng92",
"call_id": "call_2DuesTqaKUos2MsdwUx8Ng92",
"response_item_id": "fc_0c76e56576ffc0fb016a07026722688191973497ca1b419682",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" SELECT close, currency FROM market_prices\\n WHERE instrument_id=? AND price_date <= ? AND quality_status IN ('fresh','ok')\",\"old_string\":\" SELECT close, currency FROM market_prices\\n WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -59,7 +59,7 @@\\n return conn.execute(\\n \\\"\\\"\\\"\\n SELECT close, currency FROM market_prices\\n- WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'\\n+ WHERE instrument_id=? AND price_date <= ? AND quality_status IN ('fresh','ok')\\n ORDER BY price_date DESC, created_at DESC LIMIT 1\\n \\\"\\\"\\\",\\n (instrument_id, as_of_date),\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_2DuesTqaKUos2MsdwUx8Ng92"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_egWSKUBWwyQxZVcfQpbYdl8E",
"call_id": "call_egWSKUBWwyQxZVcfQpbYdl8E",
"response_item_id": "fc_0c76e56576ffc0fb016a07026d892c8191abb8a6ab28e4bfc0",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" SELECT close, currency FROM market_prices\\n WHERE instrument_id=? AND quality_status IN ('fresh','ok')\",\"old_string\":\" SELECT close, currency FROM market_prices\\n WHERE instrument_id=? AND quality_status='ok'\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -67,7 +67,7 @@\\n return conn.execute(\\n \\\"\\\"\\\"\\n SELECT close, currency FROM market_prices\\n- WHERE instrument_id=? AND quality_status='ok'\\n+ WHERE instrument_id=? AND quality_status IN ('fresh','ok')\\n ORDER BY price_date DESC, created_at DESC LIMIT 1\\n \\\"\\\"\\\",\\n (instrument_id,),\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_egWSKUBWwyQxZVcfQpbYdl8E"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_BJ7ioEgCpQHVp6nApcTg6fHB",
"call_id": "call_BJ7ioEgCpQHVp6nApcTg6fHB",
"response_item_id": "fc_0c76e56576ffc0fb016a070273dc048191bc47f6f13665198e",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n income_original = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else gross - fee - tax\\n if fx is not None:\\n pos.income_chf += income_original * fx\\n pos.fees_chf += fee * fx\\n pos.taxes_chf += tax * fx\\n if t == \\\"initial_position_snapshot\\\":\\n _add_warning(conn, pos, \\\"snapshot_only\\\", \\\"Initial snapshot lacks full transaction history; performance is incomplete.\\\")\\n if gross == 0 or fx is None:\\n _add_warning(conn, pos, \\\"cost_basis_uncertain\\\", \\\"Cost basis is uncertain for this initial snapshot.\\\")\\n\",\"old_string\":\" elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n income_original = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else gross - fee - tax\\n if fx is not None:\\n pos.income_chf += income_original * fx\\n pos.fees_chf += fee * fx\\n pos.taxes_chf += tax * fx\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -137,6 +137,10 @@\\n pos.income_chf += income_original * fx\\n pos.fees_chf += fee * fx\\n pos.taxes_chf += tax * fx\\n+ if t == \\\"initial_position_snapshot\\\":\\n+ _add_warning(conn, pos, \\\"snapshot_only\\\", \\\"Initial snapshot lacks full transaction history; performance is incomplete.\\\")\\n+ if gross == 0 or fx is None:\\n+ _add_warning(conn, pos, \\\"cost_basis_uncertain\\\", \\\"Cost basis is uncertain for this initial snapshot.\\\")\\n for key, lot in lots.items():\\n pos = result.positions[key]\\n pos.quantity = lot.quantity.normalize()\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_BJ7ioEgCpQHVp6nApcTg6fHB"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_ukkQe9o8CF9ByXCRcUMkHEsw",
"call_id": "call_ukkQe9o8CF9ByXCRcUMkHEsw",
"response_item_id": "fc_0c76e56576ffc0fb016a07027d8ed48191b710677133b10c64",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" # MVP: use only local FX data; dashboards never call providers during render.\\n if market[\\\"currency\\\"] == \\\"CHF\\\":\\n pos.market_value_chf = pos.market_value_original\\n pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n else:\\n fx_row = latest_fx_rate(conn, base_currency=market[\\\"currency\\\"], quote_currency=\\\"CHF\\\", rate_date=as_of_date)\\n if fx_row:\\n market_fx = _d(fx_row[\\\"rate\\\"])\\n pos.market_value_chf = _money(pos.market_value_original * market_fx) if pos.market_value_original is not None else None\\n if pos.market_value_chf is not None:\\n pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n else:\\n _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings and \\\"cost_basis_uncertain\\\" not in pos.quality_warnings and \\\"snapshot_only\\\" not in pos.quality_warnings:\",\"old_string\":\" # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.\\n if market[\\\"currency\\\"] == \\\"CHF\\\":\\n pos.market_value_chf = pos.market_value_original\\n pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n else:\\n _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -158,13 +158,20 @@\\n else:\\n pos.market_price_original = _d(market[\\\"close\\\"])\\n pos.market_value_original = _money(pos.quantity * pos.market_price_original)\\n- # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.\\n+ # MVP: use only local FX data; dashboards never call providers during render.\\n if market[\\\"currency\\\"] == \\\"CHF\\\":\\n pos.market_value_chf = pos.market_value_original\\n pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n else:\\n- _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n- if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings:\\n+ fx_row = latest_fx_rate(conn, base_currency=market[\\\"currency\\\"], quote_currency=\\\"CHF\\\", rate_date=as_of_date)\\n+ if fx_row:\\n+ market_fx = _d(fx_row[\\\"rate\\\"])\\n+ pos.market_value_chf = _money(pos.market_value_original * market_fx) if pos.market_value_original is not None else None\\n+ if pos.market_value_chf is not None:\\n+ pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n+ else:\\n+ _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n+ if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings and \\\"cost_basis_uncertain\\\" not in pos.quality_warnings and \\\"snapshot_only\\\" not in pos.quality_warnings:\\n pos.total_return_chf = _money((pos.unrealized_pnl_chf or Decimal(\\\"0\\\")) + pos.realized_pnl_chf + pos.income_chf - pos.fees_chf - pos.taxes_chf)\\n else:\\n pos.total_return_chf = None\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_ukkQe9o8CF9ByXCRcUMkHEsw"
},
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"role": "assistant",
"content": "",
"reasoning": "**Running tests for dashboard data**\n\nI need to check the dashboard data and see if the `get_positions` function returns any warnings related to quality. I think running a test is the right approach here to verify that everything is functioning correctly. Testing now should help identify any underlying issues or reassure me that the data is reliable. It's important to ensure the integrity of the dashboard data for accurate insights. Alright, let’s get to it!",
"finish_reason": "tool_calls",
"reasoning_content": "**Running tests for dashboard data**\n\nI need to check the dashboard data and see if the `get_positions` function returns any warnings related to quality. I think running a test is the right approach here to verify that everything is functioning correctly. Testing now should help identify any underlying issues or reassure me that the data is reliable. It's important to ensure the integrity of the dashboard data for accurate insights. Alright, let’s get to it!",
"codex_reasoning_items": [
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"text": "**Running tests for dashboard data**\n\nI need to check the dashboard data and see if the `get_positions` function returns any warnings related to quality. I think running a test is the right approach here to verify that everything is functioning correctly. Testing now should help identify any underlying issues or reassure me that the data is reliable. It's important to ensure the integrity of the dashboard data for accurate insights. Alright, let’s get to it!"
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"content": "{\"output\": \".....FF. [100%]\\n=================================== FAILURES ===================================\\n___ test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert ____\\n\\n def test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> 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='test mapping')\\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 provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\\n \\n result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n \\n assert result.updated_count == 1\\n price = conn.execute(\\\"SELECT close, quality_status FROM market_prices WHERE instrument_id='usd1'\\\").fetchone()\\n> assert price['close'] == '10.25'\\nE AssertionError: assert 10.25 == '10.25'\\n\\ntests/unit/test_fx_market_data_phase_c.py:106: AssertionError\\n____________ test_missing_and_stale_market_price_alerts_are_deduped ____________\\n\\n def test_missing_and_stale_market_price_alerts_are_deduped() -> 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='test mapping')\\n provider = MockEquityPriceProvider({'USETF.N': None})\\n \\n result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n> result2 = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:117: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/market_data/prices.py:153: in refresh_market_prices\\n store_market_price(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def store_market_price(\\n conn: Connection,\\n *,\\n instrument_id: str,\\n price_date: str,\\n close: Decimal | None,\\n currency: str,\\n provider: str,\\n provider_symbol: str | None,\\n provider_market: str | None = None,\\n price_timestamp: str | None = None,\\n adjusted_close: Decimal | None = None,\\n quality_status: str = \\\"fresh\\\",\\n error_message: str | None = None,\\n ) -> str:\\n now = utc_now()\\n market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n> conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO market_prices(\\n market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n \\\"\\\"\\\",\\n (\\n market_price_id,\\n instrument_id,\\n price_date,\\n price_timestamp,\\n format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n currency.upper(),\\n provider,\\n provider_symbol,\\n quality_status,\\n now,\\n provider_market,\\n error_message,\\n ),\\n )\\nE sqlite3.IntegrityError: UNIQUE constraint failed: market_prices.instrument_id, market_prices.price_date, market_prices.provider\\n\\nsrc/jarvis_finance/market_data/prices.py:83: IntegrityError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_missing_and_stale_market_price_alerts_are_deduped\\n2 failed, 6 passed in 0.16s\", \"exit_code\": 1, \"error\": null}\n\n[Tool loop warning: repeated_exact_failure_warning; count=2; terminal has failed 2 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]",
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"reasoning": "**Considering data types for schema**\n\nI’m thinking about how the close type can be a float since the initial schema is defined as NUMERIC. I might want to add market_prices close to TEXT_AFFINITY, but it seems like the existing setup didn’t include that. It’s also important to think about adding it to TEXT. Plus, I need to remember to use UPSERT to ensure everything is patched correctly. There’s a lot to juggle here!",
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"reasoning_content": "**Considering data types for schema**\n\nI’m thinking about how the close type can be a float since the initial schema is defined as NUMERIC. I might want to add market_prices close to TEXT_AFFINITY, but it seems like the existing setup didn’t include that. It’s also important to think about adding it to TEXT. Plus, I need to remember to use UPSERT to ensure everything is patched correctly. There’s a lot to juggle here!",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n \\\"fx_rates\\\": {\\\"rate\\\"},\\n \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\",\"old_string\":\" \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"
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"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@@ -23,6 +23,8 @@\\n \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n+ \\\"fx_rates\\\": {\\\"rate\\\"},\\n+ \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\\n }\\n \\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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"arguments": "{\"mode\":\"replace\",\"new_string\":\" INSERT INTO market_prices(\\n market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n price_timestamp=excluded.price_timestamp,\\n close=excluded.close,\\n adjusted_close=excluded.adjusted_close,\\n currency=excluded.currency,\\n provider_symbol=excluded.provider_symbol,\\n quality_status=excluded.quality_status,\\n created_at=excluded.created_at,\\n provider_market=excluded.provider_market,\\n error_message=excluded.error_message\\n \\\"\\\"\\\",\",\"old_string\":\" INSERT INTO market_prices(\\n market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n \\\"\\\"\\\",\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"}"
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"content": "{\"output\": \".FF..FFF [100%]\\n=================================== FAILURES ===================================\\n_________ test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx __________\\n\\n def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"\\\"\\\"\\n 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)\\n VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','1','USD','missing','test',1,'warning','now')\\n \\\"\\\"\\\")\\n conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-usd','kritisch','ledger','instrument','usd1','missing_fx','missing','active','now')\\\")\\n provider = MockFxProvider({('USD', 'CHF', '2025-12-31'): Decimal('0.9000'), ('EUR', 'CHF', '2025-12-31'): Decimal('0.9500')})\\n \\n> result = update_fx_rates(conn, provider=provider, currencies=['USD', 'EUR'], rate_date='2025-12-31', resolve_fixed=True)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:55: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/fx/rates.py:165: in update_fx_rates\\n upsert_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date, rate=rate, provider=getattr(provider, \\\"name\\\", \\\"mock\\\"), rate_type=\\\"latest\\\" if latest else \\\"close\\\", quality_status=\\\"fresh\\\")\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def upsert_fx_rate(\\n conn: Connection,\\n *,\\n base_currency: str,\\n quote_currency: str,\\n rate_date: str,\\n rate: Decimal,\\n provider: str,\\n rate_type: str,\\n quality_status: str = \\\"fresh\\\",\\n ) -> str:\\n base = base_currency.upper()\\n quote = quote_currency.upper()\\n fx_rate_id = stable_id(\\\"fx\\\", base, quote, rate_date, provider, rate_type)\\n> conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO fx_rates(\\n fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\\n rate_type, quality_status, created_at\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\\n \\\"\\\"\\\",\\n (fx_rate_id, base, quote, rate_date, format(rate, \\\"f\\\"), provider, rate_type, quality_status, utc_now()),\\n )\\nE sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/fx/rates.py:89: OperationalError\\n_______________ test_manual_fx_override_requires_note_and_audit ________________\\n\\n def test_manual_fx_override_requires_note_and_audit() -> None:\\n conn = setup_conn()\\n with pytest.raises(ValueError, match=\\\"note\\\"):\\n set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='')\\n \\n> rate_id = set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='bank statement')\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:67: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/fx/overrides.py:22: in set_manual_fx_override\\n rate_id = upsert_fx_rate(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def upsert_fx_rate(\\n conn: Connection,\\n *,\\n base_currency: str,\\n quote_currency: str,\\n rate_date: str,\\n rate: Decimal,\\n provider: str,\\n rate_type: str,\\n quality_status: str = \\\"fresh\\\",\\n ) -> str:\\n base = base_currency.upper()\\n quote = quote_currency.upper()\\n fx_rate_id = stable_id(\\\"fx\\\", base, quote, rate_date, provider, rate_type)\\n> conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO fx_rates(\\n fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\\n rate_type, quality_status, created_at\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\\n \\\"\\\"\\\",\\n (fx_rate_id, base, quote, rate_date, format(rate, \\\"f\\\"), provider, rate_type, quality_status, utc_now()),\\n )\\nE sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/fx/rates.py:89: OperationalError\\n___ test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert ____\\n\\n def test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> 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='test mapping')\\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 provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\\n \\n> result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:102: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/market_data/prices.py:163: in refresh_market_prices\\n store_market_price(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def store_market_price(\\n conn: Connection,\\n *,\\n instrument_id: str,\\n price_date: str,\\n close: Decimal | None,\\n currency: str,\\n provider: str,\\n provider_symbol: str | None,\\n provider_market: str | None = None,\\n price_timestamp: str | None = None,\\n adjusted_close: Decimal | None = None,\\n quality_status: str = \\\"fresh\\\",\\n error_message: str | None = None,\\n ) -> str:\\n now = utc_now()\\n market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n> conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO market_prices(\\n market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n price_timestamp=excluded.price_timestamp,\\n close=excluded.close,\\n adjusted_close=excluded.adjusted_close,\\n currency=excluded.currency,\\n provider_symbol=excluded.provider_symbol,\\n quality_status=excluded.quality_status,\\n created_at=excluded.created_at,\\n provider_market=excluded.provider_market,\\n error_message=excluded.error_message\\n \\\"\\\"\\\",\\n (\\n market_price_id,\\n instrument_id,\\n price_date,\\n price_timestamp,\\n format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n currency.upper(),\\n provider,\\n provider_symbol,\\n quality_status,\\n now,\\n provider_market,\\n error_message,\\n ),\\n )\\nE sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\\n____________ test_missing_and_stale_market_price_alerts_are_deduped ____________\\n\\n def test_missing_and_stale_market_price_alerts_are_deduped() -> 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='test mapping')\\n provider = MockEquityPriceProvider({'USETF.N': None})\\n \\n> result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:116: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/market_data/prices.py:163: in refresh_market_prices\\n store_market_price(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def store_market_price(\\n conn: Connection,\\n *,\\n instrument_id: str,\\n price_date: str,\\n close: Decimal | None,\\n currency: str,\\n provider: str,\\n provider_symbol: str | None,\\n provider_market: str | None = None,\\n price_timestamp: str | None = None,\\n adjusted_close: Decimal | None = None,\\n quality_status: str = \\\"fresh\\\",\\n error_message: str | None = None,\\n ) -> str:\\n now = utc_now()\\n market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n> conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO market_prices(\\n market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n price_timestamp=excluded.price_timestamp,\\n close=excluded.close,\\n adjusted_close=excluded.adjusted_close,\\n currency=excluded.currency,\\n provider_symbol=excluded.provider_symbol,\\n quality_status=excluded.quality_status,\\n created_at=excluded.created_at,\\n provider_market=excluded.provider_market,\\n error_message=excluded.error_message\\n \\\"\\\"\\\",\\n (\\n market_price_id,\\n instrument_id,\\n price_date,\\n price_timestamp,\\n format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n currency.upper(),\\n provider,\\n provider_symbol,\\n quality_status,\\n now,\\n provider_market,\\n error_message,\\n ),\\n )\\nE sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\\n_ test_position_valuation_requires_market_price_and_fx_without_fake_total_return _\\n\\n def test_position_valuation_requires_market_price_and_fx_without_fake_total_return() -> None:\\n conn = setup_conn()\\n conn.execute(\\\"\\\"\\\"\\n 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)\\n VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','2','USD','missing','test',1,'warning','now')\\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', quality_status='fresh')\\n\\ntests/unit/test_fx_market_data_phase_c.py:130: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = \\n\\n def store_market_price(\\n conn: Connection,\\n *,\\n instrument_id: str,\\n price_date: str,\\n close: Decimal | None,\\n currency: str,\\n provider: str,\\n provider_symbol: str | None,\\n provider_market: str | None = None,\\n price_timestamp: str | None = None,\\n adjusted_close: Decimal | None = None,\\n quality_status: str = \\\"fresh\\\",\\n error_message: str | None = None,\\n ) -> str:\\n now = utc_now()\\n market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n> conn.execute(\\n \\\"\\\"\\\"\\n INSERT INTO market_prices(\\n market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n price_timestamp=excluded.price_timestamp,\\n close=excluded.close,\\n adjusted_close=excluded.adjusted_close,\\n currency=excluded.currency,\\n provider_symbol=excluded.provider_symbol,\\n quality_status=excluded.quality_status,\\n created_at=excluded.created_at,\\n provider_market=excluded.provider_market,\\n error_message=excluded.error_message\\n \\\"\\\"\\\",\\n (\\n market_price_id,\\n instrument_id,\\n price_date,\\n price_timestamp,\\n format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n currency.upper(),\\n provider,\\n provider_symbol,\\n quality_status,\\n now,\\n provider_market,\\n error_message,\\n ),\\n )\\nE sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_manual_fx_override_requires_note_and_audit\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_missing_and_stale_market_price_alerts_are_deduped\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_position_valuation_requires_market_price_and_fx_without_fake_total_return\\n5 failed, 3 passed in 0.17s\", \"exit_code\": 1, \"error\": null}\n\n[Tool loop warning: repeated_exact_failure_warning; count=3; terminal has failed 3 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]",
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"reasoning": "**Evaluating database schema**\n\nI’m considering whether the initial schema has uniqueness. It seems there was an error previously regarding this \"unique\" aspect. After a rebuild, I might have lost that uniqueness. I need to create unique indexes, but they won't resolve conflicts unless the index is actually unique. It looks like the index isn't unique as it stands, so I need to ensure I create a unique index for both fx and market. Also, existing data may have duplicates, so I need to use CREATE UNIQUE INDEX.",
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"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(\\\"Review Items aktualisieren\\\", disabled=True)\\n 26| st.button(\\\"Produktiven Import starten\\\", disabled=True)\\n 27| st.info(\\\"Links zur Review Queue können über die Navigation/Filter genutzt werden; produktive Commit-Aktionen bleiben deaktiviert.\\\")\\n 28|\", \"total_lines\": 27, \"file_size\": 1224, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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"content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import json\\n 4|from decimal import Decimal, InvalidOperation, ROUND_HALF_UP\\n 5|from pathlib import Path\\n 6|from sqlite3 import Connection\\n 7|\\n 8|from jarvis_finance.config.settings import Settings\\n 9|from jarvis_finance.crypto.holdings import calculate_crypto_holdings\\n 10|from jarvis_finance.ledger.cash import calculate_cash_balances\\n 11|from jarvis_finance.ledger.positions import calculate_positions\\n 12|from jarvis_finance.market.providers import is_price_stale\\n 13|\\n 14|MONEY = Decimal(\\\"0.01\\\")\\n 15|\\n 16|\\n 17|def d(value: object, default: str = \\\"0\\\") -> Decimal:\\n 18| if value is None or str(value).strip() == \\\"\\\":\\n 19| return Decimal(default)\\n 20| try:\\n 21| return Decimal(str(value))\\n 22| except InvalidOperation:\\n 23| return Decimal(default)\\n 24|\\n 25|\\n 26|def dec_text(value: Decimal | int | str | None, places: str | None = None) -> str:\\n 27| if value is None:\\n 28| return \\\"\\\"\\n 29| value = d(value)\\n 30| if places:\\n 31| value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n 32| return format(value, \\\"f\\\")\\n 33|\\n 34|\\n 35|def money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n 36| if value is None:\\n 37| return f\\\"n/a {currency}\\\"\\n 38| return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n 39|\\n 40|\\n 41|def rowdicts(rows) -> list[dict[str, str]]:\\n 42| return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n 43|\\n 44|\\n 45|def db_exists(path: str | Path) -> bool:\\n 46| return Path(path).expanduser().exists()\\n 47|\\n 48|\\n 49|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n 50| try:\\n 51| settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n 52| return False\\n 53| except ValueError:\\n 54| return True\\n 55|\\n 56|\\n 57|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:\\n 58| row = conn.execute(\\n 59| \\\"\\\"\\\"\\n 60| SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider\\n 61| FROM crypto_prices\\n 62| WHERE asset_id=? AND price_currency=?\\n 63| ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1\\n 64| \\\"\\\"\\\",\\n 65| (asset_id, currency.upper()),\\n 66| ).fetchone()\\n 67| if not row:\\n 68| return None\\n 69| item = dict(row)\\n 70| ts = item.get(\\\"provider_timestamp\\\") or item.get(\\\"fetched_at\\\")\\n 71| if item.get(\\\"quality_status\\\") == \\\"fresh\\\" and is_price_stale(ts, max_age_seconds=max_age_seconds):\\n 72| item[\\\"quality_status\\\"] = \\\"stale\\\"\\n 73| return item\\n 74|\\n 75|\\n 76|def get_crypto_overview(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n 77| holdings = calculate_crypto_holdings(conn)\\n 78| rows: list[dict[str, str]] = []\\n 79| for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n 80| qty = holding.quantity\\n 81| asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n 82| if not asset:\\n 83| continue\\n 84| price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n 85| price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n 86| value = qty * price_dec if price_dec is not None else None\\n 87| rows.append({\\n 88| \\\"asset_id\\\": asset_id,\\n 89| \\\"coin_name\\\": asset[\\\"coin_name\\\"],\\n 90| \\\"symbol\\\": asset[\\\"symbol\\\"],\\n 91| \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n 92| \\\"quantity\\\": dec_text(qty),\\n 93| \\\"latest_price_chf\\\": dec_text(price_dec, \\\"0.01\\\") if price_dec is not None else \\\"\\\",\\n 94| \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 95| \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n 96| \\\"fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n 97| })\\n 98| return rows\\n 99|\\n 100|\\n 101|def get_crypto_by_wallet(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n 102| holdings = calculate_crypto_holdings(conn)\\n 103| rows: list[dict[str, str]] = []\\n 104| for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n 105| wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n 106| asset = conn.execute(\\\"SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n 107| price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n 108| price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n 109| value = holding.quantity * price_dec if price_dec is not None else None\\n 110| rows.append({\\n 111| \\\"wallet_id\\\": wallet_id,\\n 112| \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n 113| \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n 114| \\\"provider\\\": wallet[\\\"platform_provider\\\"] if wallet else \\\"\\\",\\n 115| \\\"coin_name\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n 116| \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n 117| \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] if asset else \\\"\\\",\\n 118| \\\"quantity\\\": dec_text(holding.quantity),\\n 119| \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 120| \\\"wallet_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 121| \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n 122| \\\"price_fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n 123| \\\"verification_status\\\": holding.verification_status,\\n 124| \\\"last_verified_at\\\": holding.last_verified_at or \\\"\\\",\\n 125| })\\n 126| return rows\\n 127|\\n 128|\\n 129|def get_wallets(conn: Connection) -> list[dict[str, str]]:\\n 130| return rowdicts(conn.execute(\\n 131| \\\"\\\"\\\"\\n 132| SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,\\n 133| network_chain, last_verified_at, is_active, notes\\n 134| FROM crypto_wallets ORDER BY wallet_name\\n 135| \\\"\\\"\\\"\\n 136| ).fetchall())\\n 137|\\n 138|\\n 139|def get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n 140| return rowdicts(conn.execute(\\n 141| \\\"\\\"\\\"\\n 142| SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,\\n 143| fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,\\n 144| ct.amount_chf, ct.confirmation_status, ct.source\\n 145| FROM crypto_transactions ct\\n 146| LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id\\n 147| LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id\\n 148| LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id\\n 149| ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?\\n 150| \\\"\\\"\\\", (limit,)\\n 151| ).fetchall())\\n 152|\\n 153|\\n 154|def get_platform_overview(conn: Connection) -> list[dict[str, str]]:\\n 155| return rowdicts(conn.execute(\\n 156| \\\"\\\"\\\"\\n 157| SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,\\n 158| a.performance_included, a.is_active\\n 159| FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n 160| ORDER BY p.name, a.account_name\\n 161| \\\"\\\"\\\"\\n 162| ).fetchall())\\n 163|\\n 164|\\n 165|def get_cash_overview(conn: Connection) -> list[dict[str, str]]:\\n 166| result = calculate_cash_balances(conn)\\n 167| rows: list[dict[str, str]] = []\\n 168| for (account_id, currency), bal in sorted(result.balances.items()):\\n 169| row = conn.execute(\\n 170| \\\"SELECT a.account_name, p.name AS platform FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id WHERE a.account_id=?\\\",\\n 171| (account_id,),\\n 172| ).fetchone()\\n 173| rows.append({\\n 174| \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n 175| \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n 176| \\\"currency\\\": currency,\\n 177| \\\"amount_original\\\": dec_text(bal.amount_original, \\\"0.01\\\"),\\n 178| \\\"amount_chf\\\": dec_text(bal.amount_chf, \\\"0.01\\\") if bal.amount_chf is not None else \\\"\\\",\\n 179| \\\"quality_status\\\": bal.quality_status,\\n 180| })\\n 181| return rows\\n 182|\\n 183|\\n 184|def get_positions(conn: Connection) -> list[dict[str, str]]:\\n 185| result = calculate_positions(conn)\\n 186| rows: list[dict[str, str]] = []\\n 187| for (account_id, instrument_id), pos in sorted(result.positions.items()):\\n 188| row = conn.execute(\\n 189| \\\"\\\"\\\"\\n 190| SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency\\n 191| FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n 192| JOIN instruments i ON i.instrument_id=? WHERE a.account_id=?\\n 193| \\\"\\\"\\\",\\n 194| (instrument_id, account_id),\\n 195| ).fetchone()\\n 196| rows.append({\\n 197| \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n 198| \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n 199| \\\"asset_class\\\": row[\\\"asset_class\\\"] if row else \\\"\\\",\\n 200| \\\"name\\\": row[\\\"name\\\"] if row else instrument_id,\\n 201| \\\"ticker\\\": row[\\\"ticker\\\"] if row else \\\"\\\",\\n 202| \\\"isin\\\": row[\\\"isin\\\"] if row else \\\"\\\",\\n 203| \\\"quantity\\\": dec_text(pos.quantity),\\n 204| \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n 205| \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n 206| \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n 207| \\\"data_quality_status\\\": pos.data_quality_status,\\n 208| })\\n 209| return rows\\n 210|\\n 211|\\n 212|def get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n 213| return rowdicts(conn.execute(\\n 214| \\\"\\\"\\\"\\n 215| SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,\\n 216| i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,\\n 217| t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,\\n 218| t.source_type, t.source_id\\n 219| FROM transactions t\\n 220| LEFT JOIN accounts a ON a.account_id=t.account_id\\n 221| LEFT JOIN platforms p ON p.platform_id=a.platform_id\\n 222| LEFT JOIN instruments i ON i.instrument_id=t.instrument_id\\n 223| ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?\\n 224| \\\"\\\"\\\", (limit,)\\n 225| ).fetchall())\\n 226|\\n 227|\\n 228|def get_watchlist(conn: Connection) -> list[dict[str, str]]:\\n 229| return rowdicts(conn.execute(\\\"SELECT name, asset_class, reason, status, target_entry_price, target_entry_currency, investment_case, bear_case, next_review_date FROM watchlist ORDER BY name\\\").fetchall())\\n 230|\\n 231|\\n 232|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n 233| return rowdicts(conn.execute(\\n 234| \\\"\\\"\\\"\\n 235| SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n 236| occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n 237| FROM alerts\\n 238| ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n 239| \\\"\\\"\\\"\\n 240| ).fetchall())\\n 241|\\n 242|\\n 243|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n 244| rows = conn.execute(\\n 245| \\\"\\\"\\\"\\n 246| SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n 247| confirmed, created_by, quality_status\\n 248| FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n 249| \\\"\\\"\\\", (limit,)\\n 250| ).fetchall()\\n 251| out: list[dict[str, str]] = []\\n 252| for row in rows:\\n 253| item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n 254| for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n 255| if item[key]:\\n 256| try:\\n 257| item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n 258| except json.JSONDecodeError:\\n 259| pass\\n 260| out.append(item)\\n 261|\", \"total_lines\": 367, \"file_size\": 17795, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 367 lines)\", \"is_binary\": false, \"is_image\": false}",
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"content": "{\"content\": \" 261| return out\\n 262|\\n 263|\\n 264|def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\n 265| items: list[dict[str, str]] = []\\n 266| checks = [\\n 267| (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n 268| (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\n 269| (\\\"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 270| (\\\"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 271| (\\\"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 272| (\\\"snapshot_only Positionen\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'\\\", \\\"info\\\"),\\n 273| (\\\"cost_basis_uncertain\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n 274| (\\\"aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active'\\\", \\\"warnung\\\"),\\n 275| (\\\"resolved Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'\\\", \\\"ok\\\"),\\n 276| (\\\"alte aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')\\\", \\\"info\\\"),\\n 277| ]\\n 278| for label, sql, severity in checks:\\n 279| row = conn.execute(sql).fetchone()\\n 280| count = int(row[\\\"c\\\"] or 0) if row else 0\\n 281| sev = severity if count else \\\"ok\\\"\\n 282| items.append({\\\"check\\\": label, \\\"count\\\": str(count), \\\"severity\\\": sev})\\n 283| for flag_row in get_review_quality_flag_counts(conn):\\n 284| count = int(flag_row[\\\"open_items\\\"] or 0)\\n 285| items.append({\\\"check\\\": f\\\"Review Flag: {flag_row['quality_flag']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n 286| for ready in get_review_readiness_counts(conn):\\n 287| count = int(ready[\\\"count\\\"] or 0)\\n 288| sev = \\\"ok\\\" if ready[\\\"readiness_status\\\"] in {\\\"ready_for_import\\\", \\\"ignored\\\"} else (\\\"warnung\\\" if count else \\\"ok\\\")\\n 289| items.append({\\\"check\\\": f\\\"Review Readiness: {ready['readiness_status']}\\\", \\\"count\\\": str(count), \\\"severity\\\": sev})\\n 290| for source in get_ready_for_import_by_source(conn):\\n 291| if int(source[\\\"total\\\"] or 0) and int(source[\\\"ready_for_import\\\"] or 0) == 0:\\n 292| items.append({\\\"check\\\": f\\\"Quelle ohne ready_for_import: {source['source_platform']}\\\", \\\"count\\\": source[\\\"total\\\"], \\\"severity\\\": \\\"warnung\\\"})\\n 293| missing_snapshot = conn.execute(\\\"SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'\\\").fetchone()\\n 294| count = int(missing_snapshot[\\\"c\\\"] or 0) if missing_snapshot else 0\\n 295| items.append({\\\"check\\\": \\\"Dry Runs ohne Snapshot Date\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n 296| return items\\n 297|\\n 298|\\n 299|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n 300| from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\n 301|\\n 302| return build_import_wizard_summary(conn)\\n 303|\\n 304|\\n 305|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:\\n 306| from jarvis_finance.imports.broker_mapping import get_manual_review_queue\\n 307|\\n 308| return get_manual_review_queue(conn)\\n 309|\\n 310|\\n 311|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n 312| from jarvis_finance.imports.broker_mapping import get_dry_run_sessions\\n 313|\\n 314| return get_dry_run_sessions(conn, limit=limit)\\n 315|\\n 316|\\n 317|def get_safe_mode_status(conn: Connection) -> dict[str, str]:\\n 318| backup = conn.execute(\\\"SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n 319| return {\\n 320| \\\"db_mode\\\": \\\"Runtime\\\",\\n 321| \\\"write_mode\\\": \\\"Read-only\\\",\\n 322| \\\"last_backup_at\\\": backup[\\\"created_at\\\"] if backup else \\\"nicht verfügbar\\\",\\n 323| \\\"git_safety_status\\\": \\\"zuletzt OK / CLI prüfen\\\",\\n 324| \\\"data_location\\\": \\\"Echte Daten liegen außerhalb Git\\\",\\n 325| }\\n 326|\\n 327|\\n 328|def get_broker_review_items(conn: Connection, limit: int = 100, **filters) -> list[dict[str, str]]:\\n 329| from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items\\n 330|\\n 331| return _items(conn, limit=limit, **filters)\\n 332|\\n 333|\\n 334|def get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:\\n 335| from jarvis_finance.imports.broker_mapping import get_review_readiness_counts as _counts\\n 336|\\n 337| return _counts(conn)\\n 338|\\n 339|\\n 340|def get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:\\n 341| from jarvis_finance.imports.broker_mapping import get_ready_for_import_by_source as _counts\\n 342|\\n 343| return _counts(conn)\\n 344|\\n 345|\\n 346|def get_review_quality_flag_counts(conn: Connection) -> list[dict[str, str]]:\\n 347| from jarvis_finance.imports.broker_mapping import aggregate_review_quality_flags\\n 348|\\n 349| return [{\\\"quality_flag\\\": k, \\\"open_items\\\": str(v)} for k, v in sorted(aggregate_review_quality_flags(conn).items())]\\n 350|\\n 351|\\n 352|def get_command_center_summary(conn: Connection) -> dict[str, str]:\\n 353| cash_rows = get_cash_overview(conn)\\n 354| crypto_rows = get_crypto_overview(conn)\\n 355| cash_total = sum(d(r[\\\"amount_chf\\\"]) for r in cash_rows if r[\\\"amount_chf\\\"])\\n 356| crypto_total = sum(d(r[\\\"market_value_chf\\\"]) for r in crypto_rows if r[\\\"market_value_chf\\\"])\\n 357| alert_counts = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n 358| quality = get_data_quality(conn)\\n 359| return {\\n 360| \\\"base_currency\\\": \\\"CHF\\\",\\n 361| \\\"cash_total_chf\\\": dec_text(cash_total, \\\"0.01\\\"),\\n 362| \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n 363| \\\"total_value_chf\\\": dec_text(cash_total + crypto_total, \\\"0.01\\\"),\\n 364| \\\"active_alerts\\\": \\\", \\\".join(f\\\"{r['priority']}: {r['c']}\\\" for r in alert_counts) or \\\"0\\\",\\n 365| \\\"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 366| \\\"crypto_price_data_as_of\\\": max((r[\\\"fetched_at\\\"] for r in crypto_rows if r.get(\\\"fetched_at\\\")), default=\\\"\\\"),\\n 367| }\\n 368|\", \"total_lines\": 367, \"file_size\": 17795, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_5yRyXhgcXNyHCXLTJy40W9We"
}
]
}