{ "session_id": "20260515_115250_825a8c", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "telegram", "session_start": "2026-05-15T09:42:16.586070", "last_updated": "2026-05-15T12:01:34.814176", "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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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 ![alt](url) and they will be sent as native photos.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [99% — 2,196/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nTTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\n§\nModelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\n§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\n§\nFinanceManager GitHub token CSV path: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv` (outside repo, mode 600); never store/quote token.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [84% — 1,166/1,375 chars]\n══════════════════════════════════════════════\n**Pronouns:**\n§\n**Timezone:**\n§\n**Notes:** Mein Herr. Loyaler Partner.\n§\nContext: _(Wird ergänzt.)_\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\n**Beziehung:** Loyaler Partner\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n\nConversation started: Friday, May 15, 2026 11:52 AM\nModel: gpt-5.5\nProvider: openai-codex", "tools": [ { "type": "function", "function": { "name": "browser_back", "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_click", "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e5', '@e12')" } }, "required": [ "ref" ] } } }, { "type": "function", "function": { "name": "browser_console", "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.", "parameters": { "type": "object", "properties": { "clear": { "type": "boolean", "default": false, "description": "If true, clear the message buffers after reading" }, "expression": { "type": "string", "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'" } } } } }, { "type": "function", "function": { "name": "browser_get_images", "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_navigate", "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.", "parameters": { "type": "object", "properties": { "url": { "type": "string", "description": "The URL to navigate to (e.g., 'https://example.com')" } }, "required": [ "url" ] } } }, { "type": "function", "function": { "name": "browser_press", "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "key": { "type": "string", "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')" } }, "required": [ "key" ] } } }, { "type": "function", "function": { "name": "browser_scroll", "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "direction": { "type": "string", "enum": [ "up", "down" ], "description": "Direction to scroll" } }, "required": [ "direction" ] } } }, { "type": "function", "function": { "name": "browser_snapshot", "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.", "parameters": { "type": "object", "properties": { "full": { "type": "boolean", "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.", "default": false } } } } }, { "type": "function", "function": { "name": "browser_type", "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e3')" }, "text": { "type": "string", "description": "The text to type into the field" } }, "required": [ "ref", "text" ] } } }, { "type": "function", "function": { "name": "browser_vision", "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: 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 ![description](url-or-path) and the gateway will deliver it.", "parameters": { "type": "object", "properties": { "prompt": { "type": "string", "description": "The text prompt describing the desired image. Be detailed and descriptive." }, "aspect_ratio": { "type": "string", "enum": [ "landscape", "square", "portrait" ], "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.", "default": "landscape" } }, "required": [ "prompt" ] } } }, { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.", "parameters": { "type": "object", "properties": { "mode": { "type": "string", "enum": [ "replace", "patch" ], "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.", "default": "replace" }, "path": { "type": "string", "description": "REQUIRED when mode='replace'. File path to edit." }, "old_string": { "type": "string", "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness." }, "new_string": { "type": "string", "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text." }, "replace_all": { "type": "boolean", "description": "Replace all occurrences instead of requiring a unique match (default: false)", "default": false }, "patch": { "type": "string", "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch" } }, "required": [ "mode" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to read (absolute, relative, or ~/path)" }, "offset": { "type": "integer", "description": "Line number to start reading from (1-indexed, default: 1)", "default": 1, "minimum": 1 }, "limit": { "type": "integer", "description": "Maximum number of lines to read (default: 500, max: 2000)", "default": 500, "maximum": 2000 } }, "required": [ "path" ] } } }, { "type": "function", "function": { "name": "search_files", "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.", "parameters": { "type": "object", "properties": { "pattern": { "type": "string", "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search" }, "target": { "type": "string", "enum": [ "content", "files" ], "description": "'content' searches inside file contents, 'files' searches for files by name", "default": "content" }, "path": { "type": "string", "description": "Directory or file to search in (default: current working directory)", "default": "." }, "file_glob": { "type": "string", "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)" }, "limit": { "type": "integer", "description": "Maximum number of results to return (default: 50)", "default": 50 }, "offset": { "type": "integer", "description": "Skip first N results for pagination (default: 0)", "default": 0 }, "output_mode": { "type": "string", "enum": [ "content", "files_only", "count" ], "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file", "default": "content" }, "context": { "type": "integer", "description": "Number of context lines before and after each match (grep mode only)", "default": 0 } }, "required": [ "pattern" ] } } }, { "type": "function", "function": { "name": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "send", "list" ], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms." }, "target": { "type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (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": 189, "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", "call_id": "call_aPJB5BHKCgjvCyFPcmSxWkXr", "response_item_id": "fc_0af01f7a9e8ef06e016a06cacbc22c8191bb91b78ba5340420", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"finance-system-architecture\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting repository for finance skills**\n\nI need to act and inspect the repository related to finance-system-architecture. It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. Let's figure this out!", "reasoning_content": "**Inspecting repository for finance skills**\n\nI need to act and inspect the repository related to finance-system-architecture. It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. 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It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. Let's figure this out!" } ] } ] }, { "role": "tool", "content": "[skill_view] name=finance-system-architecture (21,972 chars)", "tool_call_id": "call_aPJB5BHKCgjvCyFPcmSxWkXr" }, { "role": "user", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 77 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. 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\"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_VcbiJWiPoz1PNcdy1Pa5fmQq" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Z8oRqStfXz5ZFc0X7EV8bzRL", "call_id": "call_Z8oRqStfXz5ZFc0X7EV8bzRL", "response_item_id": "fc_0c76e56576ffc0fb016a06e4e7ca1081919c21b43443ebad31", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py')\\ns=p.read_text()\\n# add helpers before get_manual_review_queue\\ninsert=r'''\\n\\ndef _...[truncated]\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"broker_mapping extended\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "call_Z8oRqStfXz5ZFc0X7EV8bzRL" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_5zO2AfUBpBF5jvQIOclH4IuH", "call_id": 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"id": "rs_0c76e56576ffc0fb016a06e524ef408191947b0a8466380a34", "summary": [] } ] }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"dashboard data b2 patched\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "call_5zO2AfUBpBF5jvQIOclH4IuH" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_zUmo4RKxsaSjNJn6dn3Ae3Pg", "call_id": "call_zUmo4RKxsaSjNJn6dn3Ae3Pg", "response_item_id": "fc_0c76e56576ffc0fb016a06e5385d088191bb08767cb2eaab4a", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\": \"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\nfrom jarvis_finance.imports.broker_mapping import assert...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ 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"rs_0c76e56576ffc0fb016a06e537d0408191927d0ea4c8260ad5", "summary": [] } ] }, { "role": "tool", "content": "[write_file] wrote to /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py (41 lines)", "tool_call_id": "call_zUmo4RKxsaSjNJn6dn3Ae3Pg" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_48UAbaLMDf6gv3abdFfdBKQR", "call_id": "call_48UAbaLMDf6gv3abdFfdBKQR", "response_item_id": "fc_0c76e56576ffc0fb016a06e545dae881918a14d6eb65334913", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\": \"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\n\\nPAGE_TITLE = \\\"Manual Review Queue\\\"\\n\\n\\ndef render(st, con...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[write_file] wrote to /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py (27 lines)", "tool_call_id": "call_48UAbaLMDf6gv3abdFfdBKQR" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_HeilMJWkL8rlcZRXgqKFhle9", "call_id": "call_HeilMJWkL8rlcZRXgqKFhle9", "response_item_id": "fc_0c76e56576ffc0fb016a06e551c97c8191a13472629b997b5b", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\": \"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\n\\nPAGE_TITLE = \\\"Data Quality Center\\\"\\n\\n\\ndef render(st, con...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[write_file] wrote to /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py (22 lines)", "tool_call_id": "call_HeilMJWkL8rlcZRXgqKFhle9" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_y5qKajlfIe12MPr8jNvLOXMh", "call_id": "call_y5qKajlfIe12MPr8jNvLOXMh", "response_item_id": "fc_0c76e56576ffc0fb016a06e55c7a648191bfd2dc14e1c08887", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"from pathlib import Path\\n# command center add safe mode display\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_00_command_center.py')\\ns=p.read_text()\\ns=s.repl...[truncated]\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"safe mode global patched\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "call_y5qKajlfIe12MPr8jNvLOXMh" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_DMturMnb2LH05QXWj4CQuQ9G", "call_id": "call_DMturMnb2LH05QXWj4CQuQ9G", "response_item_id": "fc_0c76e56576ffc0fb016a06e56f5db48191b710b96ef7042a05", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\",\"old_string\":\"assert get_schema_version(conn) == 4\",\"new_string\":\"assert get_schema_version(conn) == 5\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Developing synthetic file builders**\n\nI need to create synthetic file builders for testing purposes and also work on writing the tests. It's important to have a schema test version. I’m considering inspecting existing tests to see if I can reuse any fake data, but that seems okay for now. It feels like a good plan to ensure coverage in my tests! This should help streamline the testing process.", "reasoning_content": "**Developing synthetic file builders**\n\nI need to create synthetic file builders for testing purposes and also work on writing the tests. It's important to have a schema test version. I’m considering inspecting existing tests to see if I can reuse any fake data, but that seems okay for now. It feels like a good plan to ensure coverage in my tests! This should help streamline the testing process.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuVvsTWmog-dptg3dGkgZUJm5E3XyPnzK3EuoVzuCa8sfEPVywQU6ephU4HLiRCd024kF5YjjAOi2Rg-juw2I1ln56m_ppwssNWasILx_EKOfnLhpaY1jFtVUVNL3dDSd-WkWSOk-LmxxYIkCHpUdggBHjxAu289623aYRTpADj5XnOWKa8lSTAFbkZ-HvL3y3i3_IpgziIqs6dSLytCbZuhPay87rc8A-F-69ZdK1rKD42Qte42sR1T9NL1ZTl1Tt3Fm5WAH4xkrydAMJfq2If-DC9tmrH9IGSNyddh2syGSdqH1kBer-TQMJlEmCSCbil4F5lkxwH3e03y-gClOX1vk1V_DxTL3D8vLbhKYcVBdZpxGhQ1j9vBj5ihTelGD2knu_FgPDog7fXZXlkkYK38Ct0Bq0nm6ziYc0mOEAkpPTVppdnzpLb2DYA_NHOJsdUHeevwETjLfJsDtPjZbaAfCpZtvyBqtSo-1KBq6TieeJKa4jCd_fgkPEQ7ZazW1HSguk5I0M_rsH1mmqpJUSWP9zeG4kJOslFcsH7vtZHKuQvqKyD5N5xTT8pSgcloegDLH0aunYnOJpYrN1nXUvEXPmZKQGW6UjiSU-V6k-NuTGRE1L7JrwnP1Bbu9kFPGJ7-i2_B3_Krk-CZdm8i9FNABBm_EvL4JNkTH6CugV3P9b0jjqd0L_b7DR7HRCt4Yq7Owa4JHfs_ASOUH7KhSFMpBP_eLX30EHbWk8SRUKN5kRBKmsTU9I4q6lvHHS-7H3CfnXtooRpbMPv5A8-yGAiXy3wO8sOGanUgTO7pze7nflFLPzwxmx_ex2ofBK6XN8UIdiM0Rj7vgf6vS2I2ThcGSfdwRG-XgOp0BQYbWtiY_T5IKrUe5rXVQpqfFuKJ-r97CKhOqH3V0gnY6X5Mc2ClUW_HJ-F6Ke_qy4vUWZkwbr7HXYvSagxa9VgpF06EEmeOQSSuZcCoCnZybAF4JxhpnSOKRpYmnTb_YHQzOvdBUjum-w5fBWM4YqoM8Z1QlRJarzb4j2lFbQ1yNQX0Px9pgpapRr7yS9i-mM6uub1DLn-LQfrKmO7u-t3tWbMLU_QVUYMidrRqV86LLxLcuD-kqA==", "id": "rs_0c76e56576ffc0fb016a06e56c57d08191a62731695e0219df", "summary": [ { "type": "summary_text", "text": "**Developing synthetic file builders**\n\nI need to create synthetic file builders for testing purposes and also work on writing the tests. It's important to have a schema test version. I’m considering inspecting existing tests to see if I can reuse any fake data, but that seems okay for now. It feels like a good plan to ensure coverage in my tests! This should help streamline the testing process." } ] } ] }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py (832 chars result)", "tool_call_id": "call_DMturMnb2LH05QXWj4CQuQ9G" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_8TW7HDw1xrXrqZyUJTVUyYv5", "call_id": "call_8TW7HDw1xrXrqZyUJTVUyYv5", "response_item_id": "fc_0c76e56576ffc0fb016a06e573f06c8191a29a0daa4285395d", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"new_string\": \" assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_...[truncated]\", \"old_string\": \" assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py (1,523 chars result)", "tool_call_id": "call_8TW7HDw1xrXrqZyUJTVUyYv5" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_FdnkkBhaH4XjuObPMXXB7eoO", "call_id": "call_FdnkkBhaH4XjuObPMXXB7eoO", "response_item_id": "fc_0c76e56576ffc0fb016a06e57f1db8819198927ff5c1c92001", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\": \"from __future__ import annotations\\n\\nimport zipfile\\nfrom pathlib import Path\\n\\nfrom jarvis_finance.dashboard import data as dashboard_data\\nfrom jarvis_finance.imports.broker_mapping import assert_write_...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"bytes_written\": 8471, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_FdnkkBhaH4XjuObPMXXB7eoO" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_GzeASFDIwbUDPOAEdBQeRTfm", "call_id": "call_GzeASFDIwbUDPOAEdBQeRTfm", "response_item_id": "fc_0c76e56576ffc0fb016a06e5b1f6c48191a3426ce7ea081443", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src pytest tests/unit/test_broker_parser_dry_run_pipeline.py tests/unit/test_broker_mapping_import_wizard.py tests/unit/test_schema.py -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuWxyRb_N3GFRmZzAjr-r_FuargKK8UZEiBwpjf-quUZeWz8UBq2MNtyVjTbPUArURpMGmPya2TXBCX6puYJe96PF8XRgJs7RfnlEJDYevI5aSYTFIn_3Y04heo2odZaZdUczaXHcL31HcDmFAW_FAEerCFbtzAwxPaLxU4pVoDONQyhBBa9L-oQPR2YVZO5uUnu1RqU-I9cn8L2bEnPWgitfU7WWlyGE9Y50knAyq4Ic5MM_Ca4lS7-sNl5UjLv_4nBztIahEO0IurqgxKy_JWFz63pQ2Zl76URmNUU_bi0scHrKhtvUrPDK8naWOhwHqYw21cpajOmKtBTsknDB_OnPmv2-SrKYdyfm12FY_GeIKVrdPA67lCA5c80MN8M2JADQfX66-fvIf0Ct9qrPKteEh00F0XVAA21bHJJ7nTahwyNSEPDfaK0hmkEKmzPJySMZtKYd4-i_rbawg3DyBNB4WiMLlpHAqG6_t1SL_oLk20qkflTl_rBUHUXXiHA7zf6MAMDzBvcStlWMVOOKirRTEFcn6QG3YFdmahfCeDfHKDAmN2JsW15gwNXgN32wp22F4V9oHA5enEZACgmBNrAgIOywXfHMJ_NOzk-CdOgWPHbCNdVy886MVVpPF-TxVcY3wWbzF9CUeGgT73PciIKZcnaI5--GfmEpkKEp2hrAfpesAeZeLXIy9ZFr9Y71ALYx-7tMBjKOuNhK2JTYzvt9-byeirHpYpEwgy0RyaVrespjyvhAWrnKR0qVIqH8jiDOzE6f1RGYBOKkuP1Vy_B7JkREJrkW-ThOI3XIaqyLO5Zr7F9VIqeOgKssJBkhFqEzkL_AyuiiwI5XI_8UvmzivBIeJcS7kwG0r23zIUcUClI1w24wlt5OGlx3rfi6SoRkVzeY9cIpOKnFCHI1WfwS8ttxF8vwGODeNP6VKCAL8c=", "id": "rs_0c76e56576ffc0fb016a06e5b1852881919e806415d945e9c4", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"......................... [100%]\\n25 passed in 0.17s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_GzeASFDIwbUDPOAEdBQeRTfm" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_74oGUn9L951he3jGOmpL6uS7", "call_id": "call_74oGUn9L951he3jGOmpL6uS7", "response_item_id": "fc_0c76e56576ffc0fb016a06e5b666bc81918d2363eb05cfe8d9", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"B2-Schema Review Items und Parser/Dry-Run-Pipeline implementieren\",\"id\":\"b2-1\",\"status\":\"completed\"},{\"content\":\"Import Wizard, Manual Review Queue, Data Quality Center und globalen Safe-Mode erweitern\",\"id\":\"b2-2\",\"status\":\"completed\"},{\"content\":\"Synthetische DOCX/XLSX Parser-Tests und Safety-Tests ergänzen\",\"id\":\"b2-3\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_74oGUn9L951he3jGOmpL6uS7" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_LgYzVCgK4N33fmuRIjq0yMX4", "call_id": "call_LgYzVCgK4N33fmuRIjq0yMX4", "response_item_id": "fc_0c76e56576ffc0fb016a06e5bc616c81919017eae75277808f", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_LgYzVCgK4N33fmuRIjq0yMX4" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_eNUUb8xDZAUCCnXgUtQXdtFA", "call_id": "call_eNUUb8xDZAUCCnXgUtQXdtFA", "response_item_id": "fc_0c76e56576ffc0fb016a06e5c865748191b60d90549bde6521", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Synthetische DOCX/XLSX Parser-Tests und Safety-Tests ergänzen\",\"id\":\"b2-3\",\"status\":\"completed\"},{\"content\":\"Compile, pytest, Git-Safety, Commit und Push durchführen\",\"id\":\"b2-4\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_eNUUb8xDZAUCCnXgUtQXdtFA" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_oleRGEA30zjwVCeZ2dKpvbMF", "call_id": "call_oleRGEA30zjwVCeZ2dKpvbMF", "response_item_id": "fc_0c76e56576ffc0fb016a06e5cfee60819193d74b26a77782ae", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nrm -rf .pytest_...` -> exit 0, 1 lines output", "tool_call_id": "call_oleRGEA30zjwVCeZ2dKpvbMF" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_FGufhVl98Z3yqNYlqK3C6thA", "call_id": "call_FGufhVl98Z3yqNYlqK3C6thA", "response_item_id": "fc_0c76e56576ffc0fb016a06e5db4ea88191a161c74790ce2dca", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"from pathlib import Path\\nfrom tempfile import TemporaryDirectory\\nimport zipfile, json\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_mig...[truncated]\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering dry run summary**\n\nI think I need to create a sample dry run summary for my report. I should do a synthetic summary and maybe use a temporary setup to run tests. After that, it could be helpful to execute the code and gather the output for aggregation. I’m also wondering if I need to avoid committing changes that aren't really related to siblings—just warnings. Maybe a git diff would help clarify things?", "reasoning_content": "**Considering dry run summary**\n\nI think I need to create a sample dry run summary for my report. I should do a synthetic summary and maybe use a temporary setup to run tests. After that, it could be helpful to execute the code and gather the output for aggregation. I’m also wondering if I need to avoid committing changes that aren't really related to siblings—just warnings. Maybe a git diff would help clarify things?", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuXbvUC_yaqyDCm4Ruqf4g_-_iiQUR1Uh8dkmix1snARpkA92C_g5xKMACDxf-tqt6W_r_qxe7pS-S1-iDFtdI8p5hlnpn9G72dkJfYHyu1UZKnpwl78RCOLcIJZ2uiH95mxhbAPB832h23xTrU3rpCwyREs--IHZBQfZ3miPgkC7cfSMWZV1n2KzkxynfmZ_FIS2HmyTi3QXIbjhof_x5KEp2Ao0UWxK8d7IvfZxmstb4F4Mw6OeDl9l0RJZitssKE2vnfW_dba7HUWePuPWE7ofwxlHbZQx6u2eqin7t-LipoNCDtO9sgDNR-U5ImQ4fTozgEiYwJHi9_Qh-RXatNRZEA7X_cvrg7ySEnSNXRjU3-WGcJMJZLsASBWoZJ0qMF5O81h0WBrRP9IpVsx4KqJIj9YaCEUQWQtYPHavJ4B5IQ_IZHRnR0xllp4CsosvDr0ThY6_hsFaV16oLYocZI_uezlZE617RIl29bS86tPsxskwmtV_K5GX7BuFTya2E30tHgZQUKxKsqhv9xk4nwa14XQPHHrYFyrBZiLlMIyV6eYkyySRPP2ZVZXVGtwn4WSS2XZgaRL9Yiqa-gK2iGnphoxwAp_xVjdRBmHazygt0tQ3q7MFaOK3O4IgwcPhLsUe9r7lKJm2h8r0CySTT9NhyfsvJscSOH29lx4UnuZ4gIvA-_Mic4O5eIbFUCAsbUSlW6j3iMFbqZRWwVpp4s83kvj3VwjbwLUFifRadwTxU0QIHDuA4gDRJXtjxZxIUHNkbG4lP-caUuCE06GZ0AsgMwUWK6JN9J9SAO-ae3q5EqR1el8UGdzVSCEWTfqmMEcAfOLmftH6DLHb9wQU1b9_X2Lxt9OqqPJruKSqZ6XyNHbwLuXApnfTuPZgbA5w14Q3GBcGgqHC7ZknaNKpNEaB0xjcaHO3htBXGxgyW89O639SgyzrpLzzon-F1k8CPSHZ3EC0D-w2lJncT2l3nfffOjNON-wio2aJAVlQtFDFEutDW6cgDfz5p_rlrJdqGYt-_lOzeSQAa58MbaPL_bT5U3DyYpT9T7w70gdjREZ4sFDxbDt_cPnfpS-qypino6WPwm_MNYUfAtIfdtOC1cDKE9V3Tvk1BtZcQ8EtCfr5lNsidqH59KVMmmziXPi3aBXvlK0ssr_cSyVQ33C4IxcsFe2szl8a2UAxgoksZLhlmGxJ7AbohREE3cTd-olJs8KBaP5AnGMg83eIVKDdLsjOuytgppNQplUzzAiN4zDHf4=", "id": "rs_0c76e56576ffc0fb016a06e5d7b4dc8191987e02e0a61b35a4", "summary": [ { "type": "summary_text", "text": "**Considering dry run summary**\n\nI think I need to create a sample dry run summary for my report. I should do a synthetic summary and maybe use a temporary setup to run tests. After that, it could be helpful to execute the code and gather the output for aggregation. I’m also wondering if I need to avoid committing changes that aren't really related to siblings—just warnings. Maybe a git diff would help clarify things?" } ] } ] }, { "role": "tool", "content": "[execute_code] `from pathlib import Path from tempfile import TemporaryDirec...` (1 lines output)", "tool_call_id": "call_FGufhVl98Z3yqNYlqK3C6thA" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_1PzUyl1Pr78QUEKjjjnywP9M", "call_id": "call_1PzUyl1Pr78QUEKjjjnywP9M", "response_item_id": "fc_0c76e56576ffc0fb016a06e5ff5fb881919526d763d9b234bb", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nfrom pathlib import Path\\nfrom tempfile import TemporaryDirectory\\nimport zipfile, json\\nfrom jarvis_finance.s...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuX_CACDZDlq4iumpW2747OxhVHFoA9IfAOTiQup9977CB3G1bFyqX7hPF4uIG4QJFxWJPt6C5GIQ6zlaqbGBHj6J1s8meUERrl42Ju8pJ8tYfk1-_leZeuSeYhOKeN2WmyvHP-0BzL3Gsh_xikiEByos58bAf-k2uCK6BioZW5GKjXpXG3L84jxI3Qntp501zqV_qYjyt46ucLul67NRw1RhwYvwEBRConEDqB7tFBE4WuE_kcuZ73hGI0PTYMqI2X-UJNkzPpV-X_vTmHTZnSDYiLGLeBDdIKKPJpa-VWxIo05dY0KzdVReEoj1QAlf8V7IFOUk7iEVeHWS_HJSzElmHQEkTNfRLmrQmwXQYTaa6VLT_gFVJ-3EtzIHFI8_7B4uxJoXS3Ydgr4GM3aOYXqvlVBKv54ZGRWAMzb5UEAPLryDs9ghKYD0M_Eh8X9fFnOr0_EWvDkj4hXwxquBkJvrHkg4JmtmJb2zwCL5_4t6IcRHiYLgkPtc0mnS0TdnR0CdnM9E9k996rWVKevSzSeGtk7crkXgQgJW-ScPvJqSU_Bvvtav_xDttSUOvPwZ8f7VGXi6Nl8z32u7aHYFzYcM42snvg2KjsbWxF2dLr4E8wX7v56aixZAbWM2mHBq9XZO-0_0dzg2FFVaPD2FX92HzvD1RIpo-b5WDEQbcnY-ShhAQnKL1E7jL4NyTwudpFLHdO3uUg21Oi3dRQwPo8TGe88O-9jWTZU6uQUGipE8WxoXEFN6fP7u7Z0hdN5_e1V-w7dD6r-Smfhi1ddJaBuF5R-zu3r5g8POZptfLZ3bGa76qHrWU7bVMBNqu5hasn6KOGrjGubhV65vqnypeBcvM4xfdlf_WJesFtPGyNkm7kSa8hLguHm5fvWph0AQ3eDVZxcg1bRRGmutJu4WnjEQDs7PWAkUv4udTVeXuiF2tQYRWQvAWhl2aQsdsrSwuofo1pYmJvHzP3C3rNOf-wtOl68lfoC7Z_0EgnUf4dLHu8=", "id": "rs_0c76e56576ffc0fb016a06e5fe9d7c81919496baf13fe6042d", "summary": [] } ] }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_1PzUyl1Pr78QUEKjjjnywP9M" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ngx6cgsyvqVTHV7ifXeczihq", "call_id": "call_ngx6cgsyvqVTHV7ifXeczihq", "response_item_id": "fc_0c76e56576ffc0fb016a06e61999b48191bf35b7667687ffa0", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__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", "reasoning": "**Verifying and pushing changes**\n\nI want to make sure I've double-checked everything after dealing with the pycache files. It's always good to be thorough, you know? Then, I'll go ahead and commit the changes and push them to the repository. I can’t help but feel that it’s important to keep everything organized, so nothing gets lost later on. Let's get this done!", "reasoning_content": "**Verifying and pushing changes**\n\nI want to make sure I've double-checked everything after dealing with the pycache files. It's always good to be thorough, you know? Then, I'll go ahead and commit the changes and push them to the repository. I can’t help but feel that it’s important to keep everything organized, so nothing gets lost later on. Let's get this done!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuYZNPY_OYF6Z-KO1e9IRfrzljfmIbXpXPNagx6Vn40GOGU1EHA3BhU6tX1zSZwgGlNxOz8ZbDpHYNXPoOqcUg0GEQyo50DDeMXQoW-oBHXR-dNnrxX6OG4R3sPSZLywefMTvjPyMPCc15_PAmntBovrnE7o7xAto9T9TKIwyQZM9ixF3qKFFI40L2lSYEjBzEQlHCvcJvqBw5jRwF5okWRFme_Oq0o8NyqgdPBmTVUnHIu37s_iNKB2CQyWrxztxXP4TbfaM7LgYFReJEmbbaMJikZHlQ7ymExvMMm7fgUsOC_JF5WNHpfkzyig9xreW0YKvwh2xSTT8x1BJThxV3pCUvEoOn4ZrGgiiFTsc0SL9vkGcZJqgsUW8WEk4EawHzB6QQRqrIT2vOxKkspdgFgJCjISJFKZ1Dn-rDZPa_aI_3Ld9WxpBKJTB6m5jUQCJVKwgWuaO0tGbpbojYv5D6JaO9duX3VacS6t_akZmaX2rwkAf6_A_Vjp2U_NPaFzTfkLGQAEn3ho8X6ONp6xGjV__sU4RqyHcwRKEST7O_kFekl1WbhAtkVX6fbCbStEhTvfA6ahMl_5Vq5L8q5BZOAqDndB33VQwNtx6Mbjrs0uc4SMyiJ29iGZQphOUaIZ9R-q66jzf4ZhrmNmSImCMKUc-uwR2BXlWXw_ycP2mIYtw9u4vb47i302zIRIXYcJX6o064snKjmq8m4lV7thb9mMgpBam-yA0NgM-8iLaPyFbQpXXZqTQlUQfY89xYav5dsKGpAINQaL-sO6LhEOeU7XGCeOhy7uyEh0acKfY6vUlP4gOC-HLE6VKWrtxKXaABIKGpymcXDtgJ_a10ON06NzAKSdMW1DyBFHQ54G5HXjD-sjMWEugUmeVAOrhPVHvlyEcCu1lRe9XmieCS_9dVEt1OdqzjrEsaL_KEdRrR8h9MFyKYomh4QL3AwCTOta0SPxeLkaGrpJgoajJ_wbDe2s0NqLHtI0jTshmkbMjGUX2S4=", "id": "rs_0c76e56576ffc0fb016a06e616796881918f9ccec4e26be1b2", "summary": [ { "type": "summary_text", "text": "**Verifying and pushing changes**\n\nI want to make sure I've double-checked everything after dealing with the pycache files. It's always good to be thorough, you know? Then, I'll go ahead and commit the changes and push them to the repository. I can’t help but feel that it’s important to keep everything organized, so nothing gets lost later on. Let's get this done!" } ] } ] }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_ngx6cgsyvqVTHV7ifXeczihq" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_APUKcQtLkEh9PDuJYo1rpRWy", "call_id": "call_APUKcQtLkEh9PDuJYo1rpRWy", "response_item_id": "fc_0c76e56576ffc0fb016a06e62815d08191865533c342e3e04f", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ngit add src/jarvis_finance/storage/migrations.py src/jarvis_finance/imports/broker_mapping.py src/jarvis_finance/imports/broker_parsers.py...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\ngit add src/jar...` -> exit 0, 1 lines output", "tool_call_id": "call_APUKcQtLkEh9PDuJYo1rpRWy" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_8YPi7yyAni0RYenUSsQYl19k", "call_id": "call_8YPi7yyAni0RYenUSsQYl19k", "response_item_id": "fc_0c76e56576ffc0fb016a06e63040c48191bedececdff585f5a", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__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": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nPYTHONPATH=src ...` -> exit 0, 1 lines output", "tool_call_id": "call_8YPi7yyAni0RYenUSsQYl19k" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_e92JbkkpE5nZlsnDSgzpHPWQ", "call_id": "call_e92JbkkpE5nZlsnDSgzpHPWQ", "response_item_id": "fc_0c76e56576ffc0fb016a06e63bece8819183b28dcdd1922254", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nimport re, subprocess, sys\\nfrom pathlib import Path\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ntext=Path.home()...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"REMOTE_BEFORE=cd2d954\\nLOCAL_HEAD=fa254a9\\nPUSH=success\\nREMOTE_AFTER=fa254a9\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_e92JbkkpE5nZlsnDSgzpHPWQ" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qlYemye5ItY7rBWMk42q7hAT", "call_id": "call_qlYemye5ItY7rBWMk42q7hAT", "response_item_id": "fc_0c76e56576ffc0fb016a06e64b71888191af39de1e8672f2be", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Compile, pytest, Git-Safety, Commit und Push durchführen\",\"id\":\"b2-4\",\"status\":\"completed\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_qlYemye5ItY7rBWMk42q7hAT" }, { "role": "assistant", "content": "Erledigt, Sir. Phase B2 ist implementiert, getestet, committed und gepusht.\n\n## Status\n\n- Commit: `fa254a9`\n- Push Status: erfolgreich\n- Remote HEAD: `fa254a9`\n- Git Status: sauber, `main...origin/main`\n- Compile: OK\n- Tests: `144 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Produktive Aktien-/ETF-/Cash-Imports: **nein**\n- Echte Broker-/Bank-Dateien ins Repo: **nein**\n- Echte Werte/Mengen im Chat/Repo: **nein**\n\n## Implementierte Parser\n\n### PostFinance Parser\n\nDatei:\n\n- `src/jarvis_finance/imports/broker_parsers.py`\n\nUnterstützt synthetische DOCX-Tabellen.\n\nErkennt:\n\n- Positionskandidaten\n- Cash-/Account-Kandidaten\n- Produkt/Name\n- Menge vorhanden\n- Währung\n- Marktwert vorhanden\n- Account-/Depot-Kontext\n- Stichtag, falls erkennbar\n\nQuality Flags:\n\n- `missing_isin`\n- `missing_ticker`\n- `snapshot_only`\n- `cost_basis_uncertain`\n- `market_value_legacy`\n- `needs_manual_review`\n\n### True Wealth Parser\n\nUnterstützt synthetische DOCX-Tabellen mit gemischter Struktur.\n\nErkennt:\n\n- Cash-Zeilen\n- positionsähnliche Zeilen\n- Konto-/Portfolio-Kontext\n- Währung\n- Stichtag, falls erkennbar\n\nQuality Flags:\n\n- `missing_isin`\n- `missing_ticker`\n- `snapshot_only`\n- `cost_basis_uncertain`\n- `missing_fx`\n- `needs_manual_review`\n\n### Raiffeisen Parser\n\nUnterstützt synthetische XLSX-Konto-/Anlagenübersichten.\n\nErkennt:\n\n- Cash-/Account-Zeilen\n- aggregierte Depot-/Anlagezeilen\n- behandelt Raiffeisen defensiv als Cash-/Kontrollsnapshot\n- importiert Aggregate **nicht** als Instrumentpositionen\n\nQuality Flags:\n\n- `cash_snapshot_candidate`\n- `aggregate_only`\n- `missing_instrument_details`\n- `needs_manual_review`\n\n## Runtime Review Items\n\nNeue Runtime-/DB-Struktur:\n\n- `broker_import_review_items`\n\nFelder implementiert:\n\n- `review_item_id`\n- `dry_run_id`\n- `source_platform`\n- `source_file_type`\n- `source_row_ref`\n- `row_hash`\n- `source_label`\n- `normalized_name`\n- `detected_asset_class`\n- `detected_currency`\n- `detected_quantity_present`\n- `detected_market_value_present`\n- `isin`\n- `ticker`\n- `exchange`\n- `mapped_instrument_id`\n- `mapped_account_id`\n- `quality_flags_json`\n- `review_status`\n- `reviewer_note`\n- `created_at`\n- `updated_at`\n\nRegeln umgesetzt:\n\n- Details bleiben Runtime-DB-only.\n- Keine Review Items in Git.\n- Chat-Ausgabe nur aggregiert.\n- Manual Review Queue liest Review Items.\n- Mapping-Bestätigung für Review Items erzeugt Audit-Log.\n- Produktive Positionen werden nicht geschrieben.\n\n## Dry-Run Pipeline\n\nErweitert in:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n\nPipeline-Schritte:\n\n1. Datei parsen\n2. Kandidaten normalisieren\n3. Instrument-Mapping versuchen\n4. Account-Mapping vorbereitet\n5. Quality Flags setzen\n6. Dry-Run Summary schreiben\n7. Review Items schreiben\n8. keine produktiven Positionen\n9. kein Ledger Commit\n10. kein Snapshot Commit\n\nOutput:\n\n- `rows_total`\n- `candidate_positions`\n- `candidate_cash_rows`\n- `mapped_positions`\n- `blocked_positions`\n- `review_items_created`\n- `warnings_count`\n- `errors_count`\n- `quality_flags_summary`\n\n## Import Wizard\n\nErweitert:\n\n- Parser-/Dry-Run Summary sichtbar\n- Quality Flags sichtbar\n- Review Items sichtbar\n- Link/Hinweis zur Manual Review Queue\n- synthetischer Demo-Dry-Run als UI-Konzept vorbereitet\n- Commit weiterhin deaktiviert\n- Read-only Mode sichtbar\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n\nStatus:\n\n- vorhanden\n- B2-fähig\n- produktive Commit-Aktionen deaktiviert\n\n## Manual Review Queue\n\nErweitert:\n\n- zeigt offene Runtime Review Items\n- zeigt Quelle\n- Source Label\n- Normalized Name\n- Assetklasse\n- Währung\n- ISIN\n- Ticker\n- Exchange\n- Account Mapping\n- Quality Flags\n- Status\n\nAktionen vorbereitet:\n\n- ISIN ergänzen\n- Ticker ergänzen\n- Exchange ergänzen\n- Instrument Mapping bestätigen\n- Account Mapping bestätigen\n- Ignore with note\n- Mark resolved\n\nAlle Buttons bleiben in Phase B2 deaktiviert / kontrolliert vorbereitet.\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n\n## Data Quality Center\n\nErweitert:\n\n- offene Review Items nach Quality Flag\n- `missing_isin`\n- `missing_ticker`\n- `snapshot_only`\n- `cost_basis_uncertain`\n- `missing_fx`\n- `aggregate_only`\n- stale/missing price alerts weiterhin sichtbar\n- resolved/fixed alerts weiterhin sichtbar\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n\n## Globaler Safe Mode\n\nErweitert:\n\n- Command Center zeigt Safe Mode Status.\n- Dashboard Sidebar zeigt:\n - DB-Modus: Runtime\n - Write Mode: Read-only\n - letzter Backup-Zeitpunkt, falls verfügbar\n - Hinweis: echte Daten liegen außerhalb Git\n\nDateien:\n\n- `src/jarvis_finance/dashboard/main.py`\n- `src/jarvis_finance/dashboard/pages/page_00_command_center.py`\n- `src/jarvis_finance/dashboard/data.py`\n\nDefault:\n\n- `Read-only`\n\n## Neue/geänderte Dateien\n\nNeu:\n\n- `src/jarvis_finance/imports/broker_parsers.py`\n- `tests/unit/test_broker_parser_dry_run_pipeline.py`\n\nGeändert:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/main.py`\n- `src/jarvis_finance/dashboard/pages/page_00_command_center.py`\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_schema.py`\n\n## Neue Tests\n\nAbgedeckt:\n\n- synthetischer PostFinance Parser erkennt Kandidaten\n- synthetischer True Wealth Parser erkennt Kandidaten\n- synthetischer Raiffeisen Parser erkennt Cash-/Kontrollsnapshot\n- Parser erzeugen Quality Flags\n- Dry Run schreibt Summary\n- Dry Run schreibt Review Items\n- Dry Run erzeugt keine produktiven Positionen\n- Name ohne ISIN bleibt review-pflichtig\n- Raiffeisen `aggregate_only` wird nicht als Instrumentposition importiert\n- Manual Review Queue lädt Review Items\n- Data Quality Center aggregiert Review Flags\n- Safe Mode bleibt default Read-only\n- Commit-Aktionen bleiben deaktiviert\n- Audit-Log bei Review-Item-Mapping-Bestätigung\n- keine echten Broker-Dateien im Repo\n\nTestergebnis:\n\n- `144 passed`\n\n## Synthetische Dry-Run Summary\n\nAggregierte synthetische Ergebnisse:\n\n### PostFinance\n\n- rows_total: 3\n- candidate_positions: 1\n- candidate_cash_rows: 1\n- mapped_positions: 0\n- blocked_positions: 1\n- review_items_created: 2\n- warnings_count: 8\n- errors_count: 0\n- Quality Flags:\n - `missing_isin`\n - `missing_ticker`\n - `snapshot_only`\n - `cost_basis_uncertain`\n - `market_value_legacy`\n - `needs_manual_review`\n\n### True Wealth\n\n- rows_total: 3\n- candidate_positions: 1\n- candidate_cash_rows: 1\n- mapped_positions: 0\n- blocked_positions: 1\n- review_items_created: 2\n- warnings_count: 9\n- errors_count: 0\n- Quality Flags:\n - `missing_isin`\n - `missing_ticker`\n - `snapshot_only`\n - `cost_basis_uncertain`\n - `missing_fx`\n - `needs_manual_review`\n\n### Raiffeisen\n\n- rows_total: 3\n- candidate_positions: 1\n- candidate_cash_rows: 1\n- mapped_positions: 0\n- blocked_positions: 1\n- review_items_created: 2\n- warnings_count: 5\n- errors_count: 0\n- Quality Flags:\n - `cash_snapshot_candidate`\n - `aggregate_only`\n - `missing_instrument_details`\n - `needs_manual_review`\n\n## Nicht durchgeführt\n\n- Kein produktiver Import echter PostFinance-Daten\n- Kein produktiver Import echter True-Wealth-Daten\n- Kein produktiver Import echter Raiffeisen-Daten\n- Keine produktiven `positions_snapshot` Writes\n- Keine Ledger-Commits\n- Keine Snapshot-Commits\n- Keine echten Broker-/Bank-Dateien ins Repo kopiert\n- Keine echten Werte/Mengen im Chat ausgegeben\n- Keine Monte-Carlo-, Backtesting-, Rebalancing-, Score- oder Heatmap-Module begonnen\n\n## Nächste Empfehlung\n\nPhase B3 sollte sein:\n\n**Controlled real-file dry-run, weiterhin ohne produktiven Import.**\n\nReihenfolge:\n\n1. Vorher Runtime-DB Backup erzeugen/verifizieren.\n2. Git-Safety vorab prüfen.\n3. Echte PostFinance-Datei nur aus Runtime/Temp lesen.\n4. Aggregierten Dry Run erzeugen.\n5. Review Items in Runtime-DB schreiben.\n6. Nur Counts/Quality Flags berichten.\n7. Dann True Wealth.\n8. Dann Raiffeisen.\n9. Temp bereinigen.\n10. Git-Safety danach erneut prüfen.\n\nNoch kein produktiver Initial Snapshot, bevor die Review Queue mit echten Dry-Run-Ergebnissen sauber aussieht.", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Erledigt, Sir. Phase B2 ist implementiert, getestet, committed und gepusht.\n\n## Status\n\n- Commit: `fa254a9`\n- Push Status: erfolgreich\n- Remote HEAD: `fa254a9`\n- Git Status: sauber, `main...origin/main`\n- Compile: OK\n- Tests: `144 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Produktive Aktien-/ETF-/Cash-Imports: **nein**\n- Echte Broker-/Bank-Dateien ins Repo: **nein**\n- Echte Werte/Mengen im Chat/Repo: **nein**\n\n## Implementierte Parser\n\n### PostFinance Parser\n\nDatei:\n\n- `src/jarvis_finance/imports/broker_parsers.py`\n\nUnterstützt synthetische DOCX-Tabellen.\n\nErkennt:\n\n- Positionskandidaten\n- Cash-/Account-Kandidaten\n- Produkt/Name\n- Menge vorhanden\n- Währung\n- Marktwert vorhanden\n- Account-/Depot-Kontext\n- Stichtag, falls erkennbar\n\nQuality Flags:\n\n- `missing_isin`\n- `missing_ticker`\n- `snapshot_only`\n- `cost_basis_uncertain`\n- `market_value_legacy`\n- `needs_manual_review`\n\n### True Wealth Parser\n\nUnterstützt synthetische DOCX-Tabellen mit gemischter Struktur.\n\nErkennt:\n\n- Cash-Zeilen\n- positionsähnliche Zeilen\n- Konto-/Portfolio-Kontext\n- Währung\n- Stichtag, falls erkennbar\n\nQuality Flags:\n\n- `missing_isin`\n- `missing_ticker`\n- `snapshot_only`\n- `cost_basis_uncertain`\n- `missing_fx`\n- `needs_manual_review`\n\n### Raiffeisen Parser\n\nUnterstützt synthetische XLSX-Konto-/Anlagenübersichten.\n\nErkennt:\n\n- Cash-/Account-Zeilen\n- aggregierte Depot-/Anlagezeilen\n- behandelt Raiffeisen defensiv als Cash-/Kontrollsnapshot\n- importiert Aggregate **nicht** als Instrumentpositionen\n\nQuality Flags:\n\n- `cash_snapshot_candidate`\n- `aggregate_only`\n- `missing_instrument_details`\n- `needs_manual_review`\n\n## Runtime Review Items\n\nNeue Runtime-/DB-Struktur:\n\n- `broker_import_review_items`\n\nFelder implementiert:\n\n- `review_item_id`\n- `dry_run_id`\n- `source_platform`\n- `source_file_type`\n- `source_row_ref`\n- `row_hash`\n- `source_label`\n- `normalized_name`\n- `detected_asset_class`\n- `detected_currency`\n- `detected_quantity_present`\n- `detected_market_value_present`\n- `isin`\n- `ticker`\n- `exchange`\n- `mapped_instrument_id`\n- `mapped_account_id`\n- `quality_flags_json`\n- `review_status`\n- `reviewer_note`\n- `created_at`\n- `updated_at`\n\nRegeln umgesetzt:\n\n- Details bleiben Runtime-DB-only.\n- Keine Review Items in Git.\n- Chat-Ausgabe nur aggregiert.\n- Manual Review Queue liest Review Items.\n- Mapping-Bestätigung für Review Items erzeugt Audit-Log.\n- Produktive Positionen werden nicht geschrieben.\n\n## Dry-Run Pipeline\n\nErweitert in:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n\nPipeline-Schritte:\n\n1. Datei parsen\n2. Kandidaten normalisieren\n3. Instrument-Mapping versuchen\n4. Account-Mapping vorbereitet\n5. Quality Flags setzen\n6. Dry-Run Summary schreiben\n7. Review Items schreiben\n8. keine produktiven Positionen\n9. kein Ledger Commit\n10. kein Snapshot Commit\n\nOutput:\n\n- `rows_total`\n- `candidate_positions`\n- `candidate_cash_rows`\n- `mapped_positions`\n- `blocked_positions`\n- `review_items_created`\n- `warnings_count`\n- `errors_count`\n- `quality_flags_summary`\n\n## Import Wizard\n\nErweitert:\n\n- Parser-/Dry-Run Summary sichtbar\n- Quality Flags sichtbar\n- Review Items sichtbar\n- Link/Hinweis zur Manual Review Queue\n- synthetischer Demo-Dry-Run als UI-Konzept vorbereitet\n- Commit weiterhin deaktiviert\n- Read-only Mode sichtbar\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n\nStatus:\n\n- vorhanden\n- B2-fähig\n- produktive Commit-Aktionen deaktiviert\n\n## Manual Review Queue\n\nErweitert:\n\n- zeigt offene Runtime Review Items\n- zeigt Quelle\n- Source Label\n- Normalized Name\n- Assetklasse\n- Währung\n- ISIN\n- Ticker\n- Exchange\n- Account Mapping\n- Quality Flags\n- Status\n\nAktionen vorbereitet:\n\n- ISIN ergänzen\n- Ticker ergänzen\n- Exchange ergänzen\n- Instrument Mapping bestätigen\n- Account Mapping bestätigen\n- Ignore with note\n- Mark resolved\n\nAlle Buttons bleiben in Phase B2 deaktiviert / kontrolliert vorbereitet.\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n\n## Data Quality Center\n\nErweitert:\n\n- offene Review Items nach Quality Flag\n- `missing_isin`\n- `missing_ticker`\n- `snapshot_only`\n- `cost_basis_uncertain`\n- `missing_fx`\n- `aggregate_only`\n- stale/missing price alerts weiterhin sichtbar\n- resolved/fixed alerts weiterhin sichtbar\n\nDatei:\n\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n\n## Globaler Safe Mode\n\nErweitert:\n\n- Command Center zeigt Safe Mode Status.\n- Dashboard Sidebar zeigt:\n - DB-Modus: Runtime\n - Write Mode: Read-only\n - letzter Backup-Zeitpunkt, falls verfügbar\n - Hinweis: echte Daten liegen außerhalb Git\n\nDateien:\n\n- `src/jarvis_finance/dashboard/main.py`\n- `src/jarvis_finance/dashboard/pages/page_00_command_center.py`\n- `src/jarvis_finance/dashboard/data.py`\n\nDefault:\n\n- `Read-only`\n\n## Neue/geänderte Dateien\n\nNeu:\n\n- `src/jarvis_finance/imports/broker_parsers.py`\n- `tests/unit/test_broker_parser_dry_run_pipeline.py`\n\nGeändert:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/main.py`\n- `src/jarvis_finance/dashboard/pages/page_00_command_center.py`\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_schema.py`\n\n## Neue Tests\n\nAbgedeckt:\n\n- synthetischer PostFinance Parser erkennt Kandidaten\n- synthetischer True Wealth Parser erkennt Kandidaten\n- synthetischer Raiffeisen Parser erkennt Cash-/Kontrollsnapshot\n- Parser erzeugen Quality Flags\n- Dry Run schreibt Summary\n- Dry Run schreibt Review Items\n- Dry Run erzeugt keine produktiven Positionen\n- Name ohne ISIN bleibt review-pflichtig\n- Raiffeisen `aggregate_only` wird nicht als Instrumentposition importiert\n- Manual Review Queue lädt Review Items\n- Data Quality Center aggregiert Review Flags\n- Safe Mode bleibt default Read-only\n- Commit-Aktionen bleiben deaktiviert\n- Audit-Log bei Review-Item-Mapping-Bestätigung\n- keine echten Broker-Dateien im Repo\n\nTestergebnis:\n\n- `144 passed`\n\n## Synthetische Dry-Run Summary\n\nAggregierte synthetische Ergebnisse:\n\n### PostFinance\n\n- rows_total: 3\n- candidate_positions: 1\n- candidate_cash_rows: 1\n- mapped_positions: 0\n- blocked_positions: 1\n- review_items_created: 2\n- warnings_count: 8\n- errors_count: 0\n- Quality Flags:\n - `missing_isin`\n - `missing_ticker`\n - `snapshot_only`\n - `cost_basis_uncertain`\n - `market_value_legacy`\n - `needs_manual_review`\n\n### True Wealth\n\n- rows_total: 3\n- candidate_positions: 1\n- candidate_cash_rows: 1\n- mapped_positions: 0\n- blocked_positions: 1\n- review_items_created: 2\n- warnings_count: 9\n- errors_count: 0\n- Quality Flags:\n - `missing_isin`\n - `missing_ticker`\n - `snapshot_only`\n - `cost_basis_uncertain`\n - `missing_fx`\n - `needs_manual_review`\n\n### Raiffeisen\n\n- rows_total: 3\n- candidate_positions: 1\n- candidate_cash_rows: 1\n- mapped_positions: 0\n- blocked_positions: 1\n- review_items_created: 2\n- warnings_count: 5\n- errors_count: 0\n- Quality Flags:\n - `cash_snapshot_candidate`\n - `aggregate_only`\n - `missing_instrument_details`\n - `needs_manual_review`\n\n## Nicht durchgeführt\n\n- Kein produktiver Import echter PostFinance-Daten\n- Kein produktiver Import echter True-Wealth-Daten\n- Kein produktiver Import echter Raiffeisen-Daten\n- Keine produktiven `positions_snapshot` Writes\n- Keine Ledger-Commits\n- Keine Snapshot-Commits\n- Keine echten Broker-/Bank-Dateien ins Repo kopiert\n- Keine echten Werte/Mengen im Chat ausgegeben\n- Keine Monte-Carlo-, Backtesting-, Rebalancing-, Score- oder Heatmap-Module begonnen\n\n## Nächste Empfehlung\n\nPhase B3 sollte sein:\n\n**Controlled real-file dry-run, weiterhin ohne produktiven Import.**\n\nReihenfolge:\n\n1. Vorher Runtime-DB Backup erzeugen/verifizieren.\n2. Git-Safety vorab prüfen.\n3. Echte PostFinance-Datei nur aus Runtime/Temp lesen.\n4. Aggregierten Dry Run erzeugen.\n5. Review Items in Runtime-DB schreiben.\n6. Nur Counts/Quality Flags berichten.\n7. Dann True Wealth.\n8. Dann Raiffeisen.\n9. Temp bereinigen.\n10. Git-Safety danach erneut prüfen.\n\nNoch kein produktiver Initial Snapshot, bevor die Review Queue mit echten Dry-Run-Ergebnissen sauber aussieht." } ], "id": "msg_0c76e56576ffc0fb016a06e6528bc08191a54c3dddac4bcc08", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] Sehr gut. Phase B2 ist akzeptiert.\n\nDer Stand ist sauber:\n\n* Commit fa254a9 gepusht\n* Tests: 144 passed\n* Git-Safety: OK\n* Import Wizard vorhanden\n* Manual Review Queue vorhanden\n* Data Quality Center erweitert\n* Globaler Safe Mode sichtbar\n* Parser-/Dry-Run-Pipeline für synthetische Quellen vorhanden\n* Keine produktiven Aktien-/ETF-/Cash-Imports\n* Keine echten Broker-/Bank-Dateien im Repo\n* Keine echten Werte/Mengen im Chat\n\nBitte fahre jetzt mit Phase B3 fort.\n\n# Phase B3 — Controlled Real-File Dry Run\n\nZiel:\nDie echten PostFinance-, True-Wealth- und Raiffeisen-Dateien sollen kontrolliert durch die neue Dry-Run-Pipeline laufen. Es darf weiterhin kein produktiver Initial Snapshot entstehen.\n\nWichtig:\nDieser Schritt darf Runtime-Review-Items erzeugen, aber keine produktiven Positionen, keine Ledger-Transaktionen und keine finalen Snapshots.\n\n## 1. Reihenfolge\n\nBitte in dieser Reihenfolge arbeiten:\n\n1. Preflight\n2. Runtime-DB Backup erzeugen und verifizieren\n3. Git-Safety prüfen\n4. PostFinance real-file dry run\n5. True Wealth real-file dry run\n6. Raiffeisen real-file dry run\n7. Review Queue / Data Quality Center prüfen\n8. Git-Safety erneut prüfen\n9. Ergebnisbericht ohne echte Werte/Mengen\n\n## 2. Preflight\n\nBitte vorab prüfen:\n\n* Git Status clean\n* Git-Safety OK\n* Runtime-DB liegt außerhalb Repo\n* Backup-/Reports-/Imports-Ordner liegen außerhalb Repo\n* keine echten Dateien im Repo\n* aktueller Remote HEAD ist synchron\n* Safe Mode / Read-only bleibt für produktive Imports aktiv\n\n## 3. Backup vor Real-File Dry Run\n\nBitte zuerst ausführen:\n\n* finance backup-runtime-db\n* finance verify-backup --file \n\nBitte nur aggregiert berichten:\n\n* Backup erzeugt: ja/nein\n* Backup verifiziert: ja/nein\n* Checksum OK: ja/nein\n* Speicherort: Runtime-Backup-Ordner\n* keine Pfade mit sensitiven Dateinamen nötig\n\n## 4. Echte Dateien nur temporär lesen\n\nFür jede Quelle:\n\n* Datei aus Google Drive / Runtime-Kontext temporär lesen\n* nicht ins Repo kopieren\n* keine echten Werte/Mengen im Chat\n* keine echten Werte/Mengen in Docs/Tests/Fixtures\n* keine echten Dateien committen\n* Temp-Dateien nach Verarbeitung entfernen\n* Details nur in Runtime-DB / Review Items\n\n## 5. Dry Run pro Quelle\n\n### A. PostFinance\n\nBitte echten PostFinance-Auszug durch Parser/Dry Run laufen lassen.\n\nZiel:\n\n* Positionskandidaten erkennen\n* Cash-/Account-Kandidaten erkennen\n* Instrument-Mappings versuchen\n* fehlende ISIN/Ticker markieren\n* Review Items erzeugen\n* Dry-Run Summary speichern\n\nBitte keine produktiven Positionen schreiben.\n\nBericht nur aggregiert:\n\n* rows_total\n* candidate_positions\n* candidate_cash_rows\n* mapped_positions\n* blocked_positions\n* review_items_created\n* warnings_count\n* errors_count\n* quality_flags_summary\n* snapshot_date_status\n* keine echten Namen/Werte/Mengen, außer nicht-sensitive generische Labels\n\n### B. True Wealth\n\nAnalog PostFinance.\n\nBesonders prüfen:\n\n* ETF-Positionen\n* Cash-/Kontozeilen\n* ob ISIN/Ticker erkannt werden\n* ob True Wealth eher als einzelne ETF-Positionen oder Plattformstrategie erscheint\n\nKeine produktiven Positionen schreiben.\n\n### C. Raiffeisen\n\nAnalog, aber defensiv:\n\n* primär Cash-/Kontrollsnapshot\n* aggregierte Depot-/Anlagezeilen nicht als Instrumentpositionen importieren, wenn ISIN/Ticker/Menge fehlen\n* Review Items erzeugen, falls unklare Zeilen vorhanden\n\nKeine produktiven Positionen schreiben.\n\n## 6. Review Items\n\nBitte echte Dry-Run-Ergebnisse in broker_import_review_items speichern, aber nur Runtime-DB.\n\nRegeln:\n\n* jeder Review Item braucht dry_run_id\n* source_platform\n* source_file_type\n* source_row_ref\n* row_hash\n* source_label\n* normalized_name\n* detected fields\n* quality_flags_json\n* review_status = open / blocked / ignored / mapped / resolved\n\nBitte alte Dry Runs nicht überschreiben.\n\nFalls mehrere Dry Runs derselben Quelle existieren:\n\n* neue Session erzeugen\n* ältere Session nicht löschen\n* optional Status/Notiz setzen, wenn eine Session ersetzt wurde\n\nBitte später vorbereiten:\n\n* Dry Run archivieren/verwerfen\n* Review Items pro Dry Run filtern\n\n## 7. Parser-Anpassungen\n\nFalls\nechte Dateien leichte Parser-Anpassungen benötigen:\n\n* Code darf angepasst werden\n* aber nur generisch\n* keine echten Daten in Tests/Fixtures\n* synthetische Fixtures erweitern, falls ein neuer Strukturfall entdeckt wurde\n* echte Werte/Namen nicht in Docs schreiben\n* Tests ergänzen\n* Commit/Push nur Code und synthetische Tests\n\n## 8. Data Quality Center prüfen\n\nNach den Dry Runs bitte prüfen:\n\n* Review Items erscheinen im Data Quality Center\n* Quality Flags werden aggregiert\n* missing_isin sichtbar\n* missing_ticker sichtbar\n* snapshot_only sichtbar\n* cost_basis_uncertain sichtbar\n* missing_fx sichtbar, falls vorhanden\n* aggregate_only sichtbar, falls vorhanden\n* keine produktiven Positionswerte angezeigt\n\n## 9. Manual Review Queue prüfen\n\nBitte prüfen:\n\n* Review Items sind sichtbar\n* Quelle filterbar\n* Status sichtbar\n* Quality Flags sichtbar\n* Mapping-Aktionen weiterhin kontrolliert / produktive Positionserstellung weiterhin deaktiviert\n* keine Commit-Aktion für Initial Snapshot aktiv\n\n## 10. Keine produktive Aktion\n\nBitte jetzt weiterhin nicht:\n\n* keine produktiven Aktien-/ETF-Positionen schreiben\n* keine produktiven Cash-Snapshots schreiben\n* keine Ledger-Transaktionen aus Brokerdateien schreiben\n* keine positions_snapshot aus Brokerdateien schreiben\n* keine echten Dateien ins Git\n* keine echten Werte/Mengen im Chat\n* keine echten Reports mit Aktien-/ETF-Zahlen erzeugen\n\n## 11. Nach Abschluss\n\nBitte ausführen:\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\nBitte berichten:\n\n* Backup erzeugt/verifiziert\n* Git-Safety vor/nachher\n* ob Code geändert wurde\n* Commit Hash, falls vorhanden\n* PostFinance Dry-Run Summary\n* True Wealth Dry-Run Summary\n* Raiffeisen Dry-Run Summary\n* Anzahl Review Items pro Quelle\n* Quality Flags pro Quelle\n* ob Manual Review Queue funktioniert\n* ob Data Quality Center funktioniert\n* ob produktive DB-Positionen unverändert blieben\n* nächste Empfehlung\n\nWichtig:\nDer Output bleibt aggregate-only. Keine echten Werte, Mengen, Kontostände, Kurse, Dateiinhalte oder sensitiven Labels im Chat." }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_3r5amcaFRvRa727VSqfB8vQh", "call_id": "call_3r5amcaFRvRa727VSqfB8vQh", "response_item_id": "fc_0c76e56576ffc0fb016a06e87055e081918e8413804a7d548e", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"finance-system-architecture\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering actions for finance**\n\nI need to figure out our next steps. I should check if the finance tool is already loaded, which might save time. Skills are important here, and maybe I need to look into a GitHub workflow too. I think it’s essential to inspect my commands for clarity and ensure everything is set. Let’s keep things organized and make sure I’m following a structured approach for whatever task we’re handling!", "reasoning_content": "**Considering actions for finance**\n\nI need to figure out our next steps. I should check if the finance tool is already loaded, which might save time. Skills are important here, and maybe I need to look into a GitHub workflow too. I think it’s essential to inspect my commands for clarity and ensure everything is set. Let’s keep things organized and make sure I’m following a structured approach for whatever task we’re handling!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuhwfQ14cpABJe8uHoZKVklB_Q1ZFN-6GHgbliNTvTbl_x0_MX9CRcbadv-j0_aDmHuZjNXavx9HPTzKE578_WKADYA2VSd_ZJE7K-bTlSYVDZoblWQS0OMO8ZNxhY55OSvTScsplA9f2YCFnLM_AfaAtYXGU1TXkKRXJM_MUr9H4NTC0w5lv2tmDko3X6fwdPA1kcd4fRIORAGLEX5OUIb96iNA8gEqGrrsGH1ujW8FCtcG0Pox7wYriwRd_ulDcdRL71JceNJq7eqfpOv5jE3d8laSbLQkUqlDs-Wc_j8QUJvj2brNt0fjp3NpfhBkq0EgdEOB9XU-xCtSvHvd8mz02tg7EzEm7Du_LTzad3SDYdx6EjLtPMOiuo-hbLX3cUjPIKlwEAOR3hPXJdvGDWKr4S3WuhkRfCmoDRciMrF8g45p4sJ-1hA82ScWxun3p_J9fTO436UWHwnn4rG6LbHNpjIFtyAOU7cogDqDJtg7qL4YBaEbIicocoirxGkOssZNpG060UXyNdiCD8bAqJnlNjeSJryxBsufhf3LWmlyuAT7QNag6JD0MVwla8iwNsLcGgxW1DArvlkjAFfPv9Pg0DoId-M5wOuxPxXj1Kz47fAOAJk4cB4Oq-8Txnjzh4ghrisChP6sioYoYLL3ekqh9B0cDWnpMkkdEYag4zeBT1yDL4tfiKV54k6sbqR9CTyROia-8vUMu7n6yWdx7CUXnZLF5w9ii77voN8SbqRuZDZDz205M4A9copLbnIulORKCndM0ROtPzfaIDVfrlTi57ygvObM8aIsgZptXWxtnOZVd8NUazpzOpbb9Otmgx4hdIjUBLrNA20lowZ7zTHYXNng7YsZl3u1x7Cd4YgpoSCW3GYj77tziIweeuVgKm0oCSTn3zkiOiA81nzAxw3CaqNtnd3SDMX0m9lcjqK6Clb1Q9lVoitgbwS3Dq0tuihS2wRzceEM8XSfdHdfvy5b8PyB285r9EDLNgxKvc42IB2gcKeXma5F9J4XB3oYJYfcm6uwEaybc7eD4zTCXj_oBICWSVScwPtBorWZqxtSrnDl-OpuWR1vCVGYLKMckBvctVVu2fD3GRaJ6jLBM7i6c_z-L06keojKOW1qmstQlyM=", "id": "rs_0c76e56576ffc0fb016a06e86de80c8191aba38da2ba565bec", "summary": [ { "type": "summary_text", "text": "**Considering actions for finance**\n\nI need to figure out our next steps. I should check if the finance tool is already loaded, which might save time. Skills are important here, and maybe I need to look into a GitHub workflow too. I think it’s essential to inspect my commands for clarity and ensure everything is set. Let’s keep things organized and make sure I’m following a structured approach for whatever task we’re handling!" } ] } ] }, { "role": "tool", "content": "[skill_view] name=finance-system-architecture (24,906 chars)", "tool_call_id": "call_3r5amcaFRvRa727VSqfB8vQh" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_fquHFHUDCwFsFcMBg2Ghzru4", "call_id": "call_fquHFHUDCwFsFcMBg2Ghzru4", "response_item_id": "fc_0c76e56576ffc0fb016a06e872efe48191a7d10d7782a9d94a", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"finance-system-architecture\",\"file_path\":\"references/broker-parser-dry-run-pipeline.md\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[skill_view] name=finance-system-architecture (5,838 chars)", "tool_call_id": "call_fquHFHUDCwFsFcMBg2Ghzru4" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_yxRay8zJbUKIbHcNAVn3qScz", "call_id": "call_yxRay8zJbUKIbHcNAVn3qScz", "response_item_id": "fc_0c76e56576ffc0fb016a06e878e0e4819189ad0297fe4b8ad9", "type": "function", "function": { "name": "todo", "arguments": "{\"todos\": [{\"id\": \"b3-1\", \"content\": \"Preflight: Git, Git-Safety, Runtime-Pfade, Remote-Sync, Safe Mode prüfen\", \"status\": \"in_progress\"}, {\"id\": \"b3-2\", \"content\": \"Runtime-DB Backup erzeugen und verifizieren\", \"status\": \"pending\"}, {\"id\": \"b3-3\", \"content\": \"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\", \"status\": \"pending\"}, {\"id\": \"b3-4\", \"content\": \"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\", \"status\": \"pending\"}, {\"id\": \"b3-5\", \"content\": \"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\", \"status\": \"pending\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Searching for CLI backup commands**\n\nI need to get started on running search queries to find the command line interface (CLI) backup commands. It sounds like a straightforward task, but I'm making sure to cover my bases and not miss any critical commands. I'm actually curious to see the variety of commands available for backups in CLI, as that might help me understand the best practices. Let’s dig into it and see what I can find!", "reasoning_content": "**Searching for CLI backup commands**\n\nI need to get started on running search queries to find the command line interface (CLI) backup commands. It sounds like a straightforward task, but I'm making sure to cover my bases and not miss any critical commands. I'm actually curious to see the variety of commands available for backups in CLI, as that might help me understand the best practices. Let’s dig into it and see what I can find!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuh4L-MtmAmM6lnb5nfAykoRKwBcuOFqSYo5azp2D0OcvQKdNQdPXVuk7ObR6F7Gf2kaL0QSZETuQ0tvgSeS-WW0GbDKDEjz_4Ldws7_T4qo0H64NzGBSJY3_DsUXduuh3ZtnyLoAg3zr4nvFJHlvfeGZntWODMyzZpoP6ZXDu-CRgLAQmv67pkG8uxlT4kk_SaCMoPLuCFAPLj-xcbXxXsF8cvNGMr6IxxqJDXuIkvGerZLva3vSGIh76rZbK1cd1Knxi02Bg6mpoKWI6Rd6EuLV0XcRO-qVmgL_xjbJRDkhDS3NiYY8mMppKg7kzQy1kpx5SGNBE11FvgDEbvtehf1n8Uz2GgGL1BBw5P5N09N37CF3lzg20nrWqs1vHUtZdYngxcLpFDZhBVPFyPuS6Z3stGsXUUAgetPBGzOKK73xnaPdLPe0rXsihYdp6oDJ_b8Iu1fycyzwWd3YjUwceNrF8H-JHM12k5rI6TWYPMBG9FdaYkHOkGIkRueGbeAjhiR1GBhfmw_xtp6ANPdnSyKXNU2NYhsqSBG6wK6yni8fatMWZnM3hd5PzssRMxmjrynbWkLT7MgIcX-2wU7lWMTRfZ_H7z7Ntopida7ce1tP_WgnSHsHUDvEiXcjI_mQ26PvTC3SyV5ZbrQmYb_5ZS0YQM02lTuiTwkvnSJRBOz0l6umBacZFErtVGArjjY_VZrgoGSxq3DOmWiXds3uS9TgrXLy-UERUXhyLlz2jJHqzT-bA4xNmnN2QM5WItj-cjxZtCYxflzhyg-GDnP3AL6aYPMiCAvVwF6V_qFhbaP23_E210aICHiN-p0sTeDzPqLsKZ0KEhuRVfew31yBlSbVztYjrjnQKyC3i9Sgy4wFVUAExiVap5qvmfD8E1dczFKIEYHT2Nlj-jltA5D1KM1GzPdUxfYNI3uhNMHHPuP1nbgBhIMwI9SRY0Kcn9fqS5wWAITCp588bOMawz_bdkDHnpW4dyQVFk-x4K9x7i0QG8=", "id": "rs_0c76e56576ffc0fb016a06e8771a8c81919b9f80400e04c3e0", "summary": [ { "type": "summary_text", "text": "**Searching for CLI backup commands**\n\nI need to get started on running search queries to find the command line interface (CLI) backup commands. It sounds like a straightforward task, but I'm making sure to cover my bases and not miss any critical commands. I'm actually curious to see the variety of commands available for backups in CLI, as that might help me understand the best practices. Let’s dig into it and see what I can find!" } ] } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_yxRay8zJbUKIbHcNAVn3qScz" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_t60cZb6T35Wn84JAtmq790MC", "call_id": "call_t60cZb6T35Wn84JAtmq790MC", "response_item_id": "fc_0c76e56576ffc0fb016a06e880ae9c81918ec0ec187554783f", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance\",\"pattern\":\"backup-runtime-db|verify-backup|runtime-db|backup\",\"target\":\"content\",\"limit\":80,\"context\":2}" } }, { "id": "call_Ce7SaEnkhzFTUdP9CdJOIU1X", "call_id": "call_Ce7SaEnkhzFTUdP9CdJOIU1X", "response_item_id": "fc_0c76e56576ffc0fb016a06e880b0088191a3cc0506bd3d467b", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager\",\"pattern\":\"*.py\",\"target\":\"files\",\"limit\":150}" } }, { "id": "call_DlUZq8fcXsYY5ZNGP94AL916", "call_id": "call_DlUZq8fcXsYY5ZNGP94AL916", "response_item_id": "fc_0c76e56576ffc0fb016a06e880b01081918130d4e9ed1a5dbd", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/config.py\",\"limit\":260}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_t60cZb6T35Wn84JAtmq790MC" }, { "role": "tool", "content": "[search_files] files search for '*.py' in /home/agent/.hermes/repos/FinanceManager -> 150 matches", "tool_call_id": "call_Ce7SaEnkhzFTUdP9CdJOIU1X" }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/config.py from line 1 (370 chars)", "tool_call_id": "call_DlUZq8fcXsYY5ZNGP94AL916" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_d0PjeDJ12FhStaol6Eyi7INe", "call_id": "call_d0PjeDJ12FhStaol6Eyi7INe", "response_item_id": "fc_0c76e56576ffc0fb016a06e887e0d48191bacfe3f142f7e975", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/backup.py\"}" } }, { "id": "call_ziaC1JsnpJ3kJ710Hx6srUXD", "call_id": "call_ziaC1JsnpJ3kJ710Hx6srUXD", "response_item_id": "fc_0c76e56576ffc0fb016a06e887e0e881918531b1a40815025d", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}" } }, { "id": "call_GCWuR2NG4txsiUjgRNLfQY6A", "call_id": "call_GCWuR2NG4txsiUjgRNLfQY6A", "response_item_id": "fc_0c76e56576ffc0fb016a06e887e0f08191aca5c26f4341511c", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/config/paths.py\"}" } }, { "id": "call_OhSB3ZgubVc2DOLRYzw6z8kF", "call_id": "call_OhSB3ZgubVc2DOLRYzw6z8kF", "response_item_id": "fc_0c76e56576ffc0fb016a06e887e0f8819190ed9d7192858efb", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/config/settings.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import hashlib\\n 4|import shutil\\n 5|from dataclasses import dataclass\\n 6|from datetime import datetime, timezone\\n 7|from pathlib import Path\\n 8|\\n 9|from jarvis_finance.config.paths import is_relative_to\\n 10|\\n 11|\\n 12|@dataclass(frozen=True)\\n 13|class BackupResult:\\n 14| backup_file: Path\\n 15| checksum_file: Path\\n 16| sha256: str\\n 17| size_bytes: int\\n 18|\\n 19|\\n 20|@dataclass(frozen=True)\\n 21|class VerifyBackupResult:\\n 22| backup_file: Path\\n 23| checksum_file: Path\\n 24| sha256: str\\n 25| checksum_ok: bool\\n 26| exists: bool\\n 27|\\n 28|\\n 29|@dataclass(frozen=True)\\n 30|class RestoreResult:\\n 31| restored_to: Path\\n 32| source_file: Path\\n 33| verified: bool\\n 34|\\n 35|\\n 36|def sha256_file(path: Path) -> str:\\n 37| digest = hashlib.sha256()\\n 38| with path.open(\\\"rb\\\") as handle:\\n 39| for chunk in iter(lambda: handle.read(1024 * 1024), b\\\"\\\"):\\n 40| digest.update(chunk)\\n 41| return digest.hexdigest()\\n 42|\\n 43|\\n 44|def write_checksum_file(backup_file: Path, sha256: str) -> Path:\\n 45| checksum_file = backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\")\\n 46| checksum_file.write_text(f\\\"{sha256} {backup_file.name}\\\\n\\\", encoding=\\\"utf-8\\\")\\n 47| return checksum_file\\n 48|\\n 49|\\n 50|def read_expected_checksum(checksum_file: Path) -> str | None:\\n 51| if not checksum_file.exists():\\n 52| return None\\n 53| text = checksum_file.read_text(encoding=\\\"utf-8\\\", errors=\\\"ignore\\\").strip()\\n 54| if not text:\\n 55| return None\\n 56| return text.split()[0]\\n 57|\\n 58|\\n 59|def ensure_outside_repo(path: Path, repo_root: Path) -> None:\\n 60| if is_relative_to(path.resolve(), repo_root.resolve()):\\n 61| raise ValueError(f\\\"Backup/restore path must be outside the Git repository: {path}\\\")\\n 62|\\n 63|\\n 64|def backup_runtime_db(*, db_path: Path, backups_dir: Path, repo_root: Path, timestamp: str | None = None) -> BackupResult:\\n 65| db_path = db_path.expanduser().resolve()\\n 66| backups_dir = backups_dir.expanduser().resolve()\\n 67| ensure_outside_repo(backups_dir, repo_root)\\n 68| ensure_outside_repo(db_path, repo_root)\\n 69| if not db_path.exists():\\n 70| raise FileNotFoundError(f\\\"Runtime DB not found: {db_path}\\\")\\n 71| backups_dir.mkdir(parents=True, exist_ok=True)\\n 72| stamp = timestamp or datetime.now(timezone.utc).strftime(\\\"%Y%m%dT%H%M%SZ\\\")\\n 73| backup_file = backups_dir / f\\\"finance-runtime-db-{stamp}.sqlite3\\\"\\n 74| shutil.copy2(db_path, backup_file)\\n 75| checksum = sha256_file(backup_file)\\n 76| checksum_file = write_checksum_file(backup_file, checksum)\\n 77| return BackupResult(\\n 78| backup_file=backup_file,\\n 79| checksum_file=checksum_file,\\n 80| sha256=checksum,\\n 81| size_bytes=backup_file.stat().st_size,\\n 82| )\\n 83|\\n 84|\\n 85|def verify_backup(*, backup_file: Path, repo_root: Path | None = None) -> VerifyBackupResult:\\n 86| backup_file = backup_file.expanduser().resolve()\\n 87| if repo_root is not None:\\n 88| ensure_outside_repo(backup_file, repo_root)\\n 89| exists = backup_file.exists() and backup_file.is_file()\\n 90| if not exists:\\n 91| return VerifyBackupResult(\\n 92| backup_file=backup_file,\\n 93| checksum_file=backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\"),\\n 94| sha256=\\\"\\\",\\n 95| checksum_ok=False,\\n 96| exists=False,\\n 97| )\\n 98| actual = sha256_file(backup_file)\\n 99| checksum_file = backup_file.with_suffix(backup_file.suffix + \\\".sha256\\\")\\n 100| expected = read_expected_checksum(checksum_file)\\n 101| return VerifyBackupResult(\\n 102| backup_file=backup_file,\\n 103| checksum_file=checksum_file,\\n 104| sha256=actual,\\n 105| checksum_ok=bool(expected and expected == actual),\\n 106| exists=True,\\n 107| )\\n 108|\\n 109|\\n 110|def restore_runtime_db(*, backup_file: Path, db_path: Path, repo_root: Path, yes: bool = False) -> RestoreResult:\\n 111| if not yes:\\n 112| raise PermissionError(\\\"Restore requires explicit confirmation via --yes\\\")\\n 113| backup_file = backup_file.expanduser().resolve()\\n 114| db_path = db_path.expanduser().resolve()\\n 115| ensure_outside_repo(backup_file, repo_root)\\n 116| ensure_outside_repo(db_path, repo_root)\\n 117| verification = verify_backup(backup_file=backup_file, repo_root=repo_root)\\n 118| if not verification.exists:\\n 119| raise FileNotFoundError(f\\\"Backup file not found: {backup_file}\\\")\\n 120| if not verification.checksum_ok:\\n 121| raise ValueError(f\\\"Backup checksum verification failed: {backup_file}\\\")\\n 122| db_path.parent.mkdir(parents=True, exist_ok=True)\\n 123| shutil.copy2(backup_file, db_path)\\n 124| return RestoreResult(restored_to=db_path, source_file=backup_file, verified=True)\\n 125|\", \"total_lines\": 124, \"file_size\": 4315, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_d0PjeDJ12FhStaol6Eyi7INe" }, { "role": "tool", "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_ziaC1JsnpJ3kJ710Hx6srUXD" }, { "role": "tool", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from dataclasses import dataclass\\n 4|from pathlib import Path\\n 5|\\n 6|DEFAULT_RUNTIME_DIR = Path(\\\"~/jarvis_runtime/finance-system\\\").expanduser()\\n 7|\\n 8|\\n 9|@dataclass(frozen=True)\\n 10|class RuntimePaths:\\n 11| base_dir: Path\\n 12| data_dir: Path\\n 13| imports_dir: Path\\n 14| exports_dir: Path\\n 15| reports_dir: Path\\n 16| backups_dir: Path\\n 17| secrets_dir: Path\\n 18| logs_dir: Path\\n 19| db_path: Path\\n 20|\\n 21| @classmethod\\n 22| def from_base(cls, base_dir: str | Path = DEFAULT_RUNTIME_DIR) -> \\\"RuntimePaths\\\":\\n 23| base = Path(base_dir).expanduser().resolve()\\n 24| return cls(\\n 25| base_dir=base,\\n 26| data_dir=base / \\\"data\\\",\\n 27| imports_dir=base / \\\"imports\\\",\\n 28| exports_dir=base / \\\"exports\\\",\\n 29| reports_dir=base / \\\"reports\\\",\\n 30| backups_dir=base / \\\"backups\\\",\\n 31| secrets_dir=base / \\\"secrets\\\",\\n 32| logs_dir=base / \\\"logs\\\",\\n 33| db_path=base / \\\"data\\\" / \\\"finance.sqlite3\\\",\\n 34| )\\n 35|\\n 36| def ensure_dirs(self) -> None:\\n 37| for path in [\\n 38| self.data_dir,\\n 39| self.imports_dir,\\n 40| self.exports_dir,\\n 41| self.reports_dir,\\n 42| self.backups_dir,\\n 43| self.secrets_dir,\\n 44| self.logs_dir,\\n 45| ]:\\n 46| path.mkdir(parents=True, exist_ok=True)\\n 47|\\n 48|\\n 49|def is_relative_to(path: Path, parent: Path) -> bool:\\n 50| try:\\n 51| path.resolve().relative_to(parent.resolve())\\n 52| return True\\n 53| except ValueError:\\n 54| return False\\n 55|\", \"total_lines\": 54, \"file_size\": 1460, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_GCWuR2NG4txsiUjgRNLfQY6A" }, { "role": "tool", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import os\\n 4|from dataclasses import dataclass\\n 5|from pathlib import Path\\n 6|\\n 7|from .paths import DEFAULT_RUNTIME_DIR, RuntimePaths, is_relative_to\\n 8|\\n 9|\\n 10|@dataclass(frozen=True)\\n 11|class Settings:\\n 12| env: str = \\\"local\\\"\\n 13| base_currency: str = \\\"CHF\\\"\\n 14| timezone: str = \\\"Europe/Zurich\\\"\\n 15| runtime_paths: RuntimePaths = RuntimePaths.from_base(DEFAULT_RUNTIME_DIR)\\n 16| log_level: str = \\\"INFO\\\"\\n 17| block_runtime_inside_repo: bool = True\\n 18|\\n 19| @property\\n 20| def db_path(self) -> Path:\\n 21| return self.runtime_paths.db_path\\n 22|\\n 23|\\n 24|def find_repo_root(start: Path | None = None) -> Path:\\n 25| current = (start or Path.cwd()).resolve()\\n 26| for candidate in [current, *current.parents]:\\n 27| if (candidate / \\\".git\\\").exists() or (candidate / \\\"pyproject.toml\\\").exists():\\n 28| return candidate\\n 29| return current\\n 30|\\n 31|\\n 32|def load_settings(repo_root: Path | None = None, environ: dict[str, str] | None = None) -> Settings:\\n 33| env = environ or os.environ\\n 34| runtime_dir = Path(env.get(\\\"JARVIS_FINANCE_RUNTIME_DIR\\\", str(DEFAULT_RUNTIME_DIR))).expanduser()\\n 35| paths = RuntimePaths.from_base(runtime_dir)\\n 36| db_override = env.get(\\\"JARVIS_FINANCE_DB_PATH\\\")\\n 37| if db_override:\\n 38| object.__setattr__(paths, \\\"db_path\\\", Path(db_override).expanduser().resolve())\\n 39| settings = Settings(\\n 40| env=env.get(\\\"JARVIS_FINANCE_ENV\\\", \\\"local\\\"),\\n 41| base_currency=env.get(\\\"JARVIS_FINANCE_BASE_CURRENCY\\\", \\\"CHF\\\"),\\n 42| timezone=env.get(\\\"JARVIS_FINANCE_TIMEZONE\\\", \\\"Europe/Zurich\\\"),\\n 43| runtime_paths=paths,\\n 44| log_level=env.get(\\\"JARVIS_FINANCE_LOG_LEVEL\\\", \\\"INFO\\\"),\\n 45| block_runtime_inside_repo=env.get(\\\"JARVIS_FINANCE_BLOCK_RUNTIME_INSIDE_REPO\\\", \\\"1\\\") not in {\\\"0\\\", \\\"false\\\", \\\"False\\\"},\\n 46| )\\n 47| validate_settings(settings, repo_root=repo_root)\\n 48| return settings\\n 49|\\n 50|\\n 51|def validate_settings(settings: Settings, repo_root: Path | None = None) -> None:\\n 52| root = (repo_root or find_repo_root()).resolve()\\n 53| if settings.block_runtime_inside_repo and is_relative_to(settings.runtime_paths.base_dir, root):\\n 54| raise ValueError(f\\\"Runtime directory must be outside the Git repository: {settings.runtime_paths.base_dir}\\\")\\n 55| if settings.base_currency != \\\"CHF\\\":\\n 56| raise ValueError(\\\"MVP 1 base currency must be CHF\\\")\\n 57|\\n 58|\\n 59|def ensure_runtime_dirs(settings: Settings) -> None:\\n 60| settings.runtime_paths.ensure_dirs()\\n 61|\", \"total_lines\": 60, \"file_size\": 2335, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_OhSB3ZgubVc2DOLRYzw6z8kF" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_gIR6AuvYXnyjyhoQx5pbIX8t", "call_id": "call_gIR6AuvYXnyjyhoQx5pbIX8t", "response_item_id": "fc_0c76e56576ffc0fb016a06e88f43548191af3f09b474086e43", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":100,\"path\":\"/home/agent/jarvis_runtime/finance-system\",\"pattern\":\"*.docx\",\"target\":\"files\"}" } }, { "id": "call_RoYi4mcPL38lvIBJzCgkbXk9", "call_id": "call_RoYi4mcPL38lvIBJzCgkbXk9", "response_item_id": "fc_0c76e56576ffc0fb016a06e88f439c81918ca88177b3eb3683", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":100,\"path\":\"/home/agent/jarvis_runtime/finance-system\",\"pattern\":\"*.xlsx\",\"target\":\"files\"}" } }, { "id": "call_YF7acGhiP9yjCTVVeFVSD8eM", "call_id": "call_YF7acGhiP9yjCTVVeFVSD8eM", "response_item_id": "fc_0c76e56576ffc0fb016a06e88f43a48191abe9e256222e7c0d", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":100,\"path\":\"/home/agent\",\"pattern\":\"*PostFinance*\",\"target\":\"files\"}" } }, { "id": "call_JxVUm8yslgd4a5qEwOfTTygZ", "call_id": "call_JxVUm8yslgd4a5qEwOfTTygZ", "response_item_id": "fc_0c76e56576ffc0fb016a06e88f43ac8191a9186a20ad1c7086", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":100,\"path\":\"/home/agent\",\"pattern\":\"*True*Wealth*\",\"target\":\"files\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Searching for files**\n\nI need to find real files, perhaps on Google Drive using a specific tool called ‘gog.’ I'll want to check if I can search within my memory or local runtime imports. Maybe files are in the drive mounted? I might consider using the terminal to find them. My search may pattern the files under runtime, but I need to avoid listing any sensitive names in the final output, even if the tool output may include them. Let's search!", "reasoning_content": "**Searching for files**\n\nI need to find real files, perhaps on Google Drive using a specific tool called ‘gog.’ I'll want to check if I can search within my memory or local runtime imports. Maybe files are in the drive mounted? I might consider using the terminal to find them. My search may pattern the files under runtime, but I need to avoid listing any sensitive names in the final output, even if the tool output may include them. Let's search!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuiPbYx0Vx5nhTrGfMd_k5DE7cNXpYrETEj-uGNJfp4SzPKnDVY2x65szWCmjvheNBrocWAnEzsnEgyAGrM20zwatWms8F-NR7IGqqbqTfuITnbFiA0H3puXghpSl5aUrQhKf7__8jfoy1iEhcnhDF-Wi_Po0so-FvxxuMIa-TqxptzpbipdmDoti7kgTtimuq34Nbhs8Avckr79rXAbg62D18YNr4DNOEWNYyJBkshMkxP_6voGNvgmGyjirxVNdn4mNEXf6FLd9TcHIuf3gwG2AUkz1r-apaLpGhK79G_mNlL7NPIFviBj2wXIENHsIcZBlMVCn4fa4Qj9R8sQL4AMPZXS4yKea_bU2iLgLkapqMd0eA7MsWQJX42Bi5xt2MpudFL8IoSBdfbz8c1lUuddZsvMSpMiFRxyb0Ljl2CNtOqnIJCvpJtvMiu_nKFbMD7yGye_HkIGgUBFZbdJj3bZtU2ht2SjSE6hfZld7p7ga09MGpJ0eXydAaMbeOA4OicMrA-uW97XUqyuBOo7GOLrvZ4XpBudSLjMxUrNQ-AqNfB4ISsLi7Nv8tluhlLtIhkoZYUUpCVL7P8Z6Wot_iNB6SfSK90V4PUMzEMzyWoknvPwWeOXsZ-SNp4XTOR5IIzYQm66kp6sDwgt6_M9jdIAdscAmFdr78I_QrFofmVfFHc2f3G61wUfB36dTuyQ3ILnsBOjg_A4w9qzWozooGBsErQSV0a7-HxEMetmu8A2-twbn_LXiIIXYXTAPman8V9CVaByEH8QtO1bSOUBGfQkNfzaQ-LbCSeG4cr_7VZW-uD6tmgVPdzxeqVwFY_NxxfYvtOn62xOasiClNHSaxCYley7WvsyQY4q4AvO_iFD8K1ZfH_eC9MaM8q_tCVQz3c73wH4ErQpkgzw7FXUmlM7p-KWu2gbQGjGN9Vae-GDKZoKZwslzA286r5UesoRKC0rTVhyueIDWyqpSsL7eESWBB12c1yp4S1i50CQEDJhzZbEX8xrY9i4BmR7IgBTGT3L7euoi9rFqI_3bQPCwLU3jYfM_2wMUN_sJeAmNWVKpBSxF1M6cyPHX66iHDSEbtv1a2JWDHfpoJnn13Iym751Vqtr0hQ-zt34kzxvT7v7dyOasg9iKYlaH-EoZkE3XlGGLrPCW4vEn7PpJQJDozVh0590Ert1Zaupb94zYgAgBieqJYlkX5_WUmUmE8vWBrzTVBb37tQT-n1bPniR2qGzuI8YVnTykeQzkURTh7R1GExq9agqpPEJVeZdb7XCMUYfjjnMl8px20j0atMDLVuxgvhMMywzOBtYcIYeGusxo6tj6kMtSK0spQQl3SLqAvESznOhJJm17rIsWoZaj2GBmw==", "id": "rs_0c76e56576ffc0fb016a06e88acaac819199317bff95dc53b4", "summary": [ { "type": "summary_text", "text": "**Searching for files**\n\nI need to find real files, perhaps on Google Drive using a specific tool called ‘gog.’ I'll want to check if I can search within my memory or local runtime imports. Maybe files are in the drive mounted? I might consider using the terminal to find them. My search may pattern the files under runtime, but I need to avoid listing any sensitive names in the final output, even if the tool output may include them. Let's search!" } ] } ] }, { "role": "tool", "content": "{\"total_count\": 2, \"files\": [\"/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_True_Wealth.docx\", \"/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_Postfinance.docx\"]}", "tool_call_id": "call_gIR6AuvYXnyjyhoQx5pbIX8t" }, { "role": "tool", "content": "{\"total_count\": 2, \"files\": [\"/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_uebersicht_alle_Anlagen.xlsx\", \"/home/agent/jarvis_runtime/finance-system/imports/tmp_btc_test/crypto_coins_source.xlsx\"]}", "tool_call_id": "call_RoYi4mcPL38lvIBJzCgkbXk9" }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_YF7acGhiP9yjCTVVeFVSD8eM" }, { "role": "tool", "content": "{\"total_count\": 1, \"files\": [\"/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_Portfolio_True_Wealth.docx\"]}", "tool_call_id": "call_JxVUm8yslgd4a5qEwOfTTygZ" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Tx5tjSenSgX6WvBttSjQKZfo", "call_id": "call_Tx5tjSenSgX6WvBttSjQKZfo", "response_item_id": "fc_0c76e56576ffc0fb016a06e89a8df881919e9f498fd7281157", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nfrom pathlib import Path\\nimport os, subprocess, re, json\\nrepo=Path.cwd().resolve()\\nruntime=Path('/home/agent/jarvis_runtime/finance-system').resolve()\\npaths={\\n 'runtime_db': runtime/'data'/'finance.sqlite3',\\n 'backups': runtime/'backups',\\n 'reports': runtime/'reports',\\n 'imports': runtime/'imports',\\n}\\ndef outside(p):\\n try: p.resolve().relative_to(repo); return False\\n except ValueError: return True\\nstatus=subprocess.check_output(['git','status','--short','--branch'], text=True).strip()\\nhead=subprocess.check_output(['git','rev-parse','--short','HEAD'], text=True).strip()\\norigin=subprocess.check_output(['git','rev-parse','--short','origin/main'], text=True).strip()\\nbase=subprocess.check_output(['git','merge-base','HEAD','origin/main'], text=True).strip()\\nlocal_full=subprocess.check_output(['git','rev-parse','HEAD'], text=True).strip()\\norigin_full=subprocess.check_output(['git','rev-parse','origin/main'], text=True).strip()\\nforbidden=[]\\nfor suffix in ('.xlsx','.docx','.pdf'):\\n forbidden.extend([str(p.relative_to(repo)) for p in repo.rglob('*'+suffix) if p.is_file()])\\nprint(json.dumps({\\n 'git_clean': status=='## main...origin/main',\\n 'git_status': status,\\n 'head': head,\\n 'origin': origin,\\n 'remote_sync': local_full==origin_full,\\n 'runtime_db_exists': paths['runtime_db'].exists(),\\n 'runtime_paths_outside_repo': {k: outside(v) for k,v in paths.items()},\\n 'real_files_in_repo_count': len(forbidden),\\n 'safe_mode_default': 'Read-only',\\n}, sort_keys=True))\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Checking preflight script**\n\nI need to run a preflight check, and I’m thinking about using a terminal script to aggregate things. Oh, should I not use sed in this case? It seems like a terminal is necessary for git operations. I also need to verify the remote sync, possibly using a token, but I’m not sure if I should output the token. It feels important to double-check this process to ensure everything goes smoothly!", "reasoning_content": "**Checking preflight script**\n\nI need to run a preflight check, and I’m thinking about using a terminal script to aggregate things. Oh, should I not use sed in this case? It seems like a terminal is necessary for git operations. I also need to verify the remote sync, possibly using a token, but I’m not sure if I should output the token. It feels important to double-check this process to ensure everything goes smoothly!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuiaHnTgjuQ_2OwPwOyE24c8uii3tpjEzLma8FR-g_ijC_B1wwdjo6z9ZafIKOXhoDkbkwXuqTNW1NeaMbMMs0ytyFQdbXFTQEr9Y3HTLwN3J9W_5YHnitKNrZDmBBCgQ4DYU772pPSBRwNIDCv3kI7A5fI7dtJXNuk2Us_wi6GIGweaGry_rtbqG6tVgm3fbDV_goSCvz48tiAhfnbZ3W49zF6YCcHdRtMF902yhFJ4b9zEsF39425iHuzf4ijMtV2zCo7TYQXMLu_JMHM5tbyLvXlNJ5mpfA-iqinqxZzeqE7XuT1zJtBIWXPCjg1UvTnyJWQCWkk4beW98l_5Q_wgyfNRgg7PctlacRPm-6h-EcTco6ANQVlWl6wj5rVAmkmOAw6TtYglEXGs3r-fT6eoDNgWW9dAbhl1sqVoBz17UkBiMznrvuzuVJhE86_YzAFFIcPigTYqrNhvyTUDVOmKZb_jaKHqVn1dUdOg9De4aosAMQDxqRVamTV1h0L3gboHvbkZqBGFyIzLfGjM4PyqDQs9LJ8RiWjLoj1jE-u1G0lHCuMPKLlNDYpSO6ut2Lomp6l6m_Oxp0G98ii-SKnkRZ_pbFxYW16BSgoXcFujX4sxeCMPDla14LwKRg9aYtr9IK4yY2jDPTCAFa-z_xQlpYRW7k6qoJklXbzC7nR4WSgiu_ro--V7_K8e1JjyH1JTkpdaH6WpPzP9ebMdzs9kYD7k1Zv3L9mT_dLh2GcA6wOHF9YqkD3-4vwMA0xcaQHpRwx5m5h1jfMXppVFEZ2KZSU6M36L0qzorlaLeh5779pcyMxkrqAdZtKxPdmrHHq4Tz7vdsdl6_GLs6ab5LpNc4_zHDKsBUQjA2AhczeLdfx6kU2L-fjOlD_bZWRWsjZo-rjXHKdDtfk9JdY0QUknvTmWO18D_cPZHVVD0DiAp1bOREKd_OpORymSItfHijvrzpztfWA9v0GFemdwReGu2rEW13XEo4pXj-NPg42Mn267z853qLc2Gp_hSbOek2ZmumGLe6gmr4e6DRsWYsGZLRQXSwMYWCd9TU5yF42WVJ5BOI-XpoGMJRBm6Akz8ZUNgT2tZZR4_tk5dm3mu5T_RQ==", "id": "rs_0c76e56576ffc0fb016a06e897c0248191afbb5c71f52240b5", "summary": [ { "type": "summary_text", "text": "**Checking preflight script**\n\nI need to run a preflight check, and I’m thinking about using a terminal script to aggregate things. Oh, should I not use sed in this case? It seems like a terminal is necessary for git operations. I also need to verify the remote sync, possibly using a token, but I’m not sure if I should output the token. It feels important to double-check this process to ensure everything goes smoothly!" } ] } ] }, { "role": "tool", "content": "{\"output\": \"{\\\"git_clean\\\": true, \\\"git_status\\\": \\\"## main...origin/main\\\", \\\"head\\\": \\\"fa254a9\\\", \\\"origin\\\": \\\"fa254a9\\\", \\\"real_files_in_repo_count\\\": 0, \\\"remote_sync\\\": true, \\\"runtime_db_exists\\\": true, \\\"runtime_paths_outside_repo\\\": {\\\"backups\\\": true, \\\"imports\\\": true, \\\"reports\\\": true, \\\"runtime_db\\\": true}, \\\"safe_mode_default\\\": \\\"Read-only\\\"}\\nGIT_SAFETY_OK\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Tx5tjSenSgX6WvBttSjQKZfo" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_62SiQd5qw2Rn450NstJgSnt0", "call_id": "call_62SiQd5qw2Rn450NstJgSnt0", "response_item_id": "fc_0c76e56576ffc0fb016a06e8a4c26c8191a3f8c0c6e0847757", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Preflight: Git, Git-Safety, Runtime-Pfade, Remote-Sync, Safe Mode prüfen\",\"id\":\"b3-1\",\"status\":\"completed\"},{\"content\":\"Runtime-DB Backup erzeugen und verifizieren\",\"id\":\"b3-2\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"b3-1\", \"content\": \"Preflight: Git, Git-Safety, Runtime-Pfade, Remote-Sync, Safe Mode prüfen\", \"status\": \"completed\"}, {\"id\": \"b3-2\", \"content\": \"Runtime-DB Backup erzeugen und verifizieren\", \"status\": \"in_progress\"}, {\"id\": \"b3-3\", \"content\": \"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\", \"status\": \"pending\"}, {\"id\": \"b3-4\", \"content\": \"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\", \"status\": \"pending\"}, {\"id\": \"b3-5\", \"content\": \"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 5, \"pending\": 3, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_62SiQd5qw2Rn450NstJgSnt0" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_jyFQXX9j4YNqkJZFvp9WUM0n", "call_id": "call_jyFQXX9j4YNqkJZFvp9WUM0n", "response_item_id": "fc_0c76e56576ffc0fb016a06e8aa74608191ae611cb7ce56b980", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nbackup_out=$(PYTHONPATH=src python -m jarvis_finance.cli.main backup-runtime-db)\\nprintf '%s\\\\n' \\\"$backup_out\\\" | python - <<'PY'\\nimport sys,re,json\\ntext=sys.stdin.read()\\nm=re.search(r'backup_file=(\\\\S+)', text)\\nprint(json.dumps({'backup_created': bool(m), 'backup_dir':'Runtime-Backup-Ordner', 'raw_has_checksum':'sha256=' in text}, sort_keys=True))\\nif m:\\n open('/tmp/finance_b3_backup_path.txt','w').write(m.group(1))\\nPY\\nbackup_file=$(cat /tmp/finance_b3_backup_path.txt)\\nverify_out=$(PYTHONPATH=src python -m jarvis_finance.cli.main verify-backup --file \\\"$backup_file\\\")\\nprintf '%s\\\\n' \\\"$verify_out\\\" | python - <<'PY'\\nimport sys,re,json\\ntext=sys.stdin.read()\\nprint(json.dumps({'backup_verified':'exists=true' in text, 'checksum_ok':'checksum_ok=true' in text, 'storage':'Runtime-Backup-Ordner'}, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"{\\\"backup_created\\\": false, \\\"backup_dir\\\": \\\"Runtime-Backup-Ordner\\\", \\\"raw_has_checksum\\\": false}\\ncat: /tmp/finance_b3_backup_path.txt: Datei oder Verzeichnis nicht gefunden\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_jyFQXX9j4YNqkJZFvp9WUM0n" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_xDbcKGmXcXO7exanXwKsSEOs", "call_id": "call_xDbcKGmXcXO7exanXwKsSEOs", "response_item_id": "fc_0c76e56576ffc0fb016a06e8b7deb481918655b9ee46f93317", "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/finance_b3_backup_out.txt\\npython - <<'PY'\\nfrom pathlib import Path\\nimport re,json\\ntext=Path('/tmp/finance_b3_backup_out.txt').read_text()\\nm=re.search(r'backup_file=(\\\\S+)', text)\\nprint(json.dumps({'backup_created': bool(m), 'backup_dir':'Runtime-Backup-Ordner', 'raw_has_checksum':'sha256=' in text}, sort_keys=True))\\nif not m: raise SystemExit(1)\\nPath('/tmp/finance_b3_backup_path.txt').write_text(m.group(1))\\nPY\\nbackup_file=$(cat /tmp/finance_b3_backup_path.txt)\\nPYTHONPATH=src python -m jarvis_finance.cli.main verify-backup --file \\\"$backup_file\\\" > /tmp/finance_b3_verify_out.txt\\npython - <<'PY'\\nfrom pathlib import Path\\nimport json\\ntext=Path('/tmp/finance_b3_verify_out.txt').read_text()\\nprint(json.dumps({'backup_verified':'exists=true' in text, 'checksum_ok':'checksum_ok=true' in text, 'storage':'Runtime-Backup-Ordner'}, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Evaluating input method**\n\nIt looks like there was an issue with how we piped things; the here-doc syntax is consuming stdin, which isn't what I intended. I definitely need to rerun the process, but it seems like I don’t really have a backup. Oops, I shouldn't have assumed that step would work seamlessly! So, it’s clear that using a temporary file might be the best way to handle this situation and ensure everything goes smoothly.", "reasoning_content": "**Evaluating input method**\n\nIt looks like there was an issue with how we piped things; the here-doc syntax is consuming stdin, which isn't what I intended. I definitely need to rerun the process, but it seems like I don’t really have a backup. Oops, I shouldn't have assumed that step would work seamlessly! So, it’s clear that using a temporary file might be the best way to handle this situation and ensure everything goes smoothly.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBui3W9ZgXEoTz4VGIM5WdSCGhYCboQY1538wd9vKM2vo2_Pk9iCck7lSKTxlesOP3OALCFChLlipi-5Z2Nsvx6ngpjsAzNap7rY10XMSuEN0MysisMq-uI8RhHQM567Lxk2IFO1d9Q21IoVCrllDEczlE8zLQ39X1RG7CIg279XLHv5kNUxqltFIcc4Ra-aNGv2Xs1NmBZRv8HxVSU1Ldr2EJcN_n0O8ORsLIWYq43Nv6193TDvAmzbaTETzXY1TdqJVfnBNSvfVKliOszbmBahOcqohmKYX8f7jUpsTfYY7CWh6dEWC-4N7LKakuWtTO4XuCsUv3IybIdYZIp_ImUyUAnFbpIm36OKm75BBm63E04QcqU7NRwNxMnf0waWlvlRbNJ5X_0D8bOSoBA1RwapleBqBsq9A5-esaogFwHavOFJ_lnQOiQXwfAvCRW2Xwpbn2l-x3J2l5a80wZ9jAlhISY73IUqYIEeZbIrj_bxI6yllL2F4jwbO166cVM58uNvGdHZNgKU0pibR2tLlIPtbLYQ177_L9XpefjEZkQeY8RRs7L7Zo-jizwciaFPghQTn-QoRRWOKlfpxDBBwrTBwhJxLX2-2oPphvJ-yP0n2k3WTtbMwesPxyKfDNjhVlkii0lpfRfHAvgX-5ANAHuto8rPd4zFgLGoN9HXMWVzpTJh-5b-iSES4tUz_GB0N_4hd8h90myte-PPsv-kQAL6LZMt9CLzyAIKLb6XyVHsgrEW_igTe7TtODTG9VXtyRa-Uay92TRnZYkU9WUQmPeMjov2klumKzmO4iqBLfLvZcRTIHPsuc2BCZTpCLpMuW90dqWW1bqt5iPzUStqLGB_RWUAulRCzyW_rYiUlWLMLtFzMufYSAJc2P1fjkRRkcN_qaCz40tTKS9FlTnCUiFeNue-sH1DeFnT1XTERokWIcNDIBnnsFgjs1FQLlsnSuHSzXFOB2Xd1nNoL-36alxwJOknPVZWV-Gn9AzFLxuqB12x9mwlF66cDlFDmY0PMAUvqflK4jDeDdcKkBZpslxJymiGPmiwYx9SOpst8-e_uqd8=", "id": "rs_0c76e56576ffc0fb016a06e8b53c748191807a6556373227d8", "summary": [ { "type": "summary_text", "text": "**Evaluating input method**\n\nIt looks like there was an issue with how we piped things; the here-doc syntax is consuming stdin, which isn't what I intended. I definitely need to rerun the process, but it seems like I don’t really have a backup. Oops, I shouldn't have assumed that step would work seamlessly! So, it’s clear that using a temporary file might be the best way to handle this situation and ensure everything goes smoothly." } ] } ] }, { "role": "tool", "content": "{\"output\": \"{\\\"backup_created\\\": true, \\\"backup_dir\\\": \\\"Runtime-Backup-Ordner\\\", \\\"raw_has_checksum\\\": true}\\n{\\\"backup_verified\\\": true, \\\"checksum_ok\\\": true, \\\"storage\\\": \\\"Runtime-Backup-Ordner\\\"}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_xDbcKGmXcXO7exanXwKsSEOs" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qjrvKmOlgIIUzKaWNMoBpxjI", "call_id": "call_qjrvKmOlgIIUzKaWNMoBpxjI", "response_item_id": "fc_0c76e56576ffc0fb016a06e8c2dff0819184177de79a0f8af3", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Runtime-DB Backup erzeugen und verifizieren\",\"id\":\"b3-2\",\"status\":\"completed\"},{\"content\":\"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\",\"id\":\"b3-3\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"b3-1\", \"content\": \"Preflight: Git, Git-Safety, Runtime-Pfade, Remote-Sync, Safe Mode prüfen\", \"status\": \"completed\"}, {\"id\": \"b3-2\", \"content\": \"Runtime-DB Backup erzeugen und verifizieren\", \"status\": \"completed\"}, {\"id\": \"b3-3\", \"content\": \"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\", \"status\": \"in_progress\"}, {\"id\": \"b3-4\", \"content\": \"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\", \"status\": \"pending\"}, {\"id\": \"b3-5\", \"content\": \"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 5, \"pending\": 2, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_qjrvKmOlgIIUzKaWNMoBpxjI" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_PChl9tF6UotNLa83UprWfC9p", "call_id": "call_PChl9tF6UotNLa83UprWfC9p", "response_item_id": "fc_0c76e56576ffc0fb016a06e8c9fe2c8191a64a4e938225f9c0", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nfrom pathlib import Path\\nfrom tempfile import TemporaryDirectory\\nimport shutil, json, sqlite3\\nfrom jarvis_finance.config.settings import load_settings, ensure_runtime_dirs\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.imports.broker_parsers import parse_postfinance_docx, parse_true_wealth_docx, parse_raiffeisen_xlsx\\nfrom jarvis_finance.imports.broker_mapping import run_broker_import_dry_run\\n\\nsettings=load_settings(); ensure_runtime_dirs(settings)\\nconn=connect(settings.db_path); apply_migrations(conn)\\n\\ndef count(table):\\n try:\\n return conn.execute(f'SELECT COUNT(*) AS n FROM {table}').fetchone()['n']\\n except sqlite3.Error:\\n return None\\nbefore={t:count(t) for t in ['positions_snapshot','transactions','cash_ledger','broker_import_dry_runs','broker_import_review_items']}\\nbase=Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z')\\nsources=[\\n ('PostFinance', base/'260514_Portfolio_Postfinance.docx', parse_postfinance_docx),\\n ('True Wealth', base/'260514_Portfolio_True_Wealth.docx', parse_true_wealth_docx),\\n ('Raiffeisen', base/'260514_uebersicht_alle_Anlagen.xlsx', parse_raiffeisen_xlsx),\\n]\\nout=[]\\nwith TemporaryDirectory(prefix='finance_b3_real_dryrun_') as tmp:\\n tmp=Path(tmp)\\n for source,path,parser in sources:\\n if not path.exists():\\n out.append({'source':source,'file_present':False,'errors_count':1})\\n continue\\n temp_path=tmp / f'{source.lower().replace(\\\" \\\",\\\"_\\\")}{path.suffix.lower()}'\\n shutil.copy2(path,temp_path)\\n parsed=parser(temp_path)\\n summary=run_broker_import_dry_run(conn, parsed, source_filename=f'{source.lower().replace(\\\" \\\",\\\"_\\\")}_runtime_file{path.suffix.lower()}')\\n conn.commit()\\n out.append({\\n 'source': source,\\n 'file_present': True,\\n 'rows_total': summary['rows_total'],\\n 'candidate_positions': summary['candidate_positions'],\\n 'candidate_cash_rows': summary['candidate_cash_rows'],\\n 'mapped_positions': summary['mapped_positions'],\\n 'blocked_positions': summary['blocked_positions'],\\n 'review_items_created': summary['review_items_created'],\\n 'warnings_count': summary['warnings_count'],\\n 'errors_count': summary['errors_count'],\\n 'snapshot_date_status': parsed.snapshot_date_status,\\n 'quality_flags_summary': summary['quality_flags_summary'],\\n })\\nafter={t:count(t) for t in before}\\nreview_by_source={}\\nfor row in conn.execute(\\\"SELECT source_platform, COUNT(*) AS n FROM broker_import_review_items WHERE dry_run_id IN (SELECT dry_run_id FROM broker_import_dry_runs ORDER BY created_at DESC LIMIT 3) GROUP BY source_platform\\\").fetchall():\\n review_by_source[row['source_platform']]=row['n']\\nflag_by_source={}\\nfor row in conn.execute(\\\"SELECT source_platform, quality_flags_json FROM broker_import_review_items WHERE dry_run_id IN (SELECT dry_run_id FROM broker_import_dry_runs ORDER BY created_at DESC LIMIT 3)\\\").fetchall():\\n import json as _json\\n d=flag_by_source.setdefault(row['source_platform'], {})\\n for flag in _json.loads(row['quality_flags_json'] or '[]'):\\n d[flag]=d.get(flag,0)+1\\nprint(json.dumps({'dry_runs':out,'before_counts':before,'after_counts':after,'review_items_last_session':review_by_source,'review_flags_last_session':flag_by_source,'productive_positions_unchanged':before.get('positions_snapshot')==after.get('positions_snapshot'),'transactions_unchanged':before.get('transactions')==after.get('transactions'),'cash_ledger_unchanged':before.get('cash_ledger')==after.get('cash_ledger')}, ensure_ascii=False, sort_keys=True))\\nPY > /tmp/finance_b3_real_dryrun_summary.json\\npython -m json.tool /tmp/finance_b3_real_dryrun_summary.json\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBujJqCVrsI86iEK3Y_KLMdMlKv5aKRvd_FG-eM6bjI1maLbxHvqDao1g2GoX6vbc3wQpJkMT1ZfSVLeqEwsfIOkn0Y-YRWfFQP1v8loons362lWKRQqXJkCXmC_Oe_8eNXyWJhH7ERTGJQGWSsm_fyn6NPMvvgy_kOlxtMQj7ijiBCgVNf-JApf4lfFTnCu7ivpxBUvMmDYxAWs0dBsaIF9Clrr8_vMydGCXmII37NSRWHJhHXLjSfB2knSs2a9-fnYooQn10UyHXiu-7wzYUcfULPYq4zsi5Q2TJietz8TCqxTHyUyD3DTfwnAG65pjmTfS0GM8dUltq8_xP55uXB5amke3f21lPGFYfnJmVhYvv7Ec6ICpVcvwS2fEVk8VFNA6EcxCjoFtmOUV9axaC-3APmLw0IQhJGFkNn5o_hOKwZtjZvP1Pji5juNstv15mVG_IMnQHTCsf8NMK3fQ0lJHk8fntje2hIRXsKrl9xs2l1OJxyw0fI9THFpb_XqDDr0Fko5Fb76NOziXsxiVzM2Qww9QuOxYZ9v-EJhxcm9_si09YGZrsmM0le09SKCHUZSGk9khB374M33J_gyBjoRppXALKjCeDVBgoMnW4VbPFicySy87BYVMCGLfJerU65xLPXl-5KDpbpHqGlPj5VCh-AZzL2IlKalRyvd8jGQLNyTnjSMo0Snzom6jyl_3SLPpWSfFMpaFcw4j7Nb-HqlW3Wq1Ttlxt2NlxBqwgUH69OoiYnc1D24qRMO8OkyU6_NVtRIU7i-RH6wMQ3OTZSmfxfI3dHSKUzUnkLyRRj6-nXBBJL_86t3n6xj6G5UPm1nnMfLMlyLnnAz9oj-CgNw5cbhz3Jh2Ho49xsWUrMelWyFkyqv3rKc3pIz7hyfVNE1wDrL0opM-SAU2Eeo50WoPCvXyiNRYEATxA36vnnOzmVJwS5Ra66HPgcCAaaucxPu760EKUi9ZLI1KON9YAkAChcsbwy63PBJv3RnMeXG9jCDEQzdWJMRplC3b4u0TJhA8pQ4s5DCkyV2hFYYnfriZHHRnkQfjGLpoX8wC-hF66PhQoLvr3hBUYCyi8D1w_znknVjqU09tHHi_IZH9TmFst2VjiwGVNR9Do_WQbu_UXAkmpX7d7fsmP_EZrzbmMWWSA29hBd4oHKhuvhLewGZY0k1SQ7b45CdXUdcjPbwDEmqAWV7IhWvpsaDBNND0E7qXDJE7ZMnLXtG4TNX4OqUXslxOE7EsqscWkchf3-QF-qybmFdtbhkHUHiwK6McOfcFbV4aSf0ThB7L1O0Bf4jVbIt7LGWHEeF-dHNpR9nEEWOQt-qpw5OMd99T9ZNhOn6gNmgYGz_E_fGLbaQgdDgqJC-6OY-T-jakZONcn5DbExYWPPG93VFxCRLfwoQe4TD1ak-d0NsvtFbka9CgwkaohnsAkrOWZkVFZq0w2nkd4rLO2nVpmuUvPDX0yyf8GuT318rjqQpKcdZkVN5UzTYAYBvjxvtDdIIvg6rTZ-IaTgfYXXgu1yGPMyfBuVxJRvp3Ibh8PodPcWMSpFph7HjJYPfReQdKiTPPg4U-XwZyyNcuJriSug8B9-6J3qRUz9p0FqJOo1jceGkNStGyQgEPzQ==", "id": "rs_0c76e56576ffc0fb016a06e8c71c6081919d0607a05c6e43d3", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"/usr/bin/bash: Zeile 133: Warnung: Das in der Zeile 70 beginnende Here-Dokument geht bis zum Dateiende (erwartet wird »PY«).\\n File \\\"\\\", line 62\\n PY > /tmp/finance_b3_real_dryrun_summary.json\\n ^\\nSyntaxError: invalid syntax\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_PChl9tF6UotNLa83UprWfC9p" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_RMWnVL8fLOisVXgO9tNQecOE", "call_id": "call_RMWnVL8fLOisVXgO9tNQecOE", "response_item_id": "fc_0c76e56576ffc0fb016a06e8e1a6a08191a6296847fdbacce3", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - > /tmp/finance_b3_real_dryrun_summary.json <<'PY'\\nfrom pathlib import Path\\nfrom tempfile import TemporaryDirectory\\nimport shutil, json, sqlite3\\nfrom jarvis_finance.config.settings import load_settings, ensure_runtime_dirs\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.imports.broker_parsers import parse_postfinance_docx, parse_true_wealth_docx, parse_raiffeisen_xlsx\\nfrom jarvis_finance.imports.broker_mapping import run_broker_import_dry_run\\n\\nsettings=load_settings(); ensure_runtime_dirs(settings)\\nconn=connect(settings.db_path); apply_migrations(conn)\\n\\ndef count(table):\\n try:\\n return conn.execute(f'SELECT COUNT(*) AS n FROM {table}').fetchone()['n']\\n except sqlite3.Error:\\n return None\\nbefore={t:count(t) for t in ['positions_snapshot','transactions','cash_ledger','broker_import_dry_runs','broker_import_review_items']}\\nbase=Path('/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z')\\nsources=[\\n ('PostFinance', base/'260514_Portfolio_Postfinance.docx', parse_postfinance_docx),\\n ('True Wealth', base/'260514_Portfolio_True_Wealth.docx', parse_true_wealth_docx),\\n ('Raiffeisen', base/'260514_uebersicht_alle_Anlagen.xlsx', parse_raiffeisen_xlsx),\\n]\\nout=[]\\ncreated_dry_run_ids=[]\\nwith TemporaryDirectory(prefix='finance_b3_real_dryrun_') as tmp:\\n tmp=Path(tmp)\\n for source,path,parser in sources:\\n if not path.exists():\\n out.append({'source':source,'file_present':False,'errors_count':1})\\n continue\\n temp_path=tmp / f'{source.lower().replace(\\\" \\\",\\\"_\\\")}{path.suffix.lower()}'\\n shutil.copy2(path,temp_path)\\n parsed=parser(temp_path)\\n summary=run_broker_import_dry_run(conn, parsed, source_filename=f'{source.lower().replace(\\\" \\\",\\\"_\\\")}_runtime_file{path.suffix.lower()}')\\n conn.commit()\\n created_dry_run_ids.append(summary['dry_run_id'])\\n out.append({\\n 'source': source,\\n 'file_present': True,\\n 'rows_total': summary['rows_total'],\\n 'candidate_positions': summary['candidate_positions'],\\n 'candidate_cash_rows': summary['candidate_cash_rows'],\\n 'mapped_positions': summary['mapped_positions'],\\n 'blocked_positions': summary['blocked_positions'],\\n 'review_items_created': summary['review_items_created'],\\n 'warnings_count': summary['warnings_count'],\\n 'errors_count': summary['errors_count'],\\n 'snapshot_date_status': parsed.snapshot_date_status,\\n 'quality_flags_summary': summary['quality_flags_summary'],\\n })\\nafter={t:count(t) for t in before}\\nreview_by_source={}\\nflag_by_source={}\\nif created_dry_run_ids:\\n placeholders=','.join(['?']*len(created_dry_run_ids))\\n for row in conn.execute(f\\\"SELECT source_platform, COUNT(*) AS n FROM broker_import_review_items WHERE dry_run_id IN ({placeholders}) GROUP BY source_platform\\\", created_dry_run_ids).fetchall():\\n review_by_source[row['source_platform']]=row['n']\\n for row in conn.execute(f\\\"SELECT source_platform, quality_flags_json FROM broker_import_review_items WHERE dry_run_id IN ({placeholders})\\\", created_dry_run_ids).fetchall():\\n d=flag_by_source.setdefault(row['source_platform'], {})\\n for flag in json.loads(row['quality_flags_json'] or '[]'):\\n d[flag]=d.get(flag,0)+1\\nprint(json.dumps({'dry_runs':out,'before_counts':before,'after_counts':after,'review_items_last_session':review_by_source,'review_flags_last_session':flag_by_source,'productive_positions_unchanged':before.get('positions_snapshot')==after.get('positions_snapshot'),'transactions_unchanged':before.get('transactions')==after.get('transactions'),'cash_ledger_unchanged':before.get('cash_ledger')==after.get('cash_ledger')}, ensure_ascii=False, sort_keys=True))\\nPY\\npython -m json.tool /tmp/finance_b3_real_dryrun_summary.json\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBujhhP3C2mMo20tusyo4h70gXlrs-7oOiME471euKe5T8rAdKwwE4HzZ0xxLRXHG79Euzf0mUL15FBzkt3uUajxbuZjf16Eoj2YtoHeHCLvd-KBdYNVLAAvBKGs65fUluC-1cxdaQx5xA-nnQl1m88Y0UYdFFkyoeTP_Y2Bl95ChyYCRv53QVzrq1hWE3E1hYx2wIXz65uujeEooLgrUOAVg4srF-d7x1DwVEa_fnLONXOiAEKGgxW3n9zrEma_MGKGLGP5nQ9AK6q8mzZUum5KHgjCZRuaSfTObZp60IWKyFM6XdeMzYE1LKSaT5ySVUsdImv6HRoXyyhuSTmYnlDJ993P0m7kDG_bTaCan__YUmyNmiBFvKopvWcpleRYqqUGFRUw5vu4W-LpYAgOtENUKVxxO2iWb1SwiMmoWVs0G0EoOcialuKig_s4C1LTWRC35l4ORhCYvCHQWIOePjCmGHBmHjAT299axdUpRwKWY2-eDkz0CUMxlDeTvEuBglDTPX8paQVyUijSNpO_Ivp2WZSN1_7t48kahA9HmIDX7idaLwHjWrhM5U7e04Q6lPkn_0dALSwNudZUeyKVwpxS6_fTo4bif8G199OSQYgQjD1yuirOFeiZr4dK4BYol3UFtukLXMbMvLncKE3gu6gL-M2Qc0SvmvwfOpMIlMyDo4MuOpGTfhhPE0g9WPlbAh5m7tojPvN5006ahtY7gdJALdP9fqhd96fBLFCvoukhT1XX4fbHpnniZY-CthYG3VFZuPtKIbiVrdKHMrlO2HTG1fgHWLbNOsyCFC7zEWHFelnoglz2bFQ0iYTNC5YivRkhFDRMtSiWAtRGSx6D9yJRiSK9oSKfP5FU_RN8JgU3k8AYEBSFo1iK0DMS-83iWogmeVy_sgikVsbYal5DAoltdz6Cou_sCAht7pIqjlxugL2FZqSDCOySnO_F1CMho-NufCpkeokzdbCcZvS1hh-baDgZ8Meg9r6LT_vzIegB3ghObfGa5Nu3Lf50iL_gKXZOvwm4bwlIuH8u4V_3sS5NDOw==", "id": "rs_0c76e56576ffc0fb016a06e8df68bc8191938dde57041bebd3", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"after_counts\\\": {\\n \\\"broker_import_dry_runs\\\": 3,\\n \\\"broker_import_review_items\\\": 59,\\n \\\"cash_ledger\\\": null,\\n \\\"positions_snapshot\\\": 0,\\n \\\"transactions\\\": 0\\n },\\n \\\"before_counts\\\": {\\n \\\"broker_import_dry_runs\\\": 0,\\n \\\"broker_import_review_items\\\": 0,\\n \\\"cash_ledger\\\": null,\\n \\\"positions_snapshot\\\": 0,\\n \\\"transactions\\\": 0\\n },\\n \\\"cash_ledger_unchanged\\\": true,\\n \\\"dry_runs\\\": [\\n {\\n \\\"blocked_positions\\\": 33,\\n \\\"candidate_cash_rows\\\": 1,\\n \\\"candidate_positions\\\": 33,\\n \\\"errors_count\\\": 0,\\n \\\"file_present\\\": true,\\n \\\"mapped_positions\\\": 0,\\n \\\"quality_flags_summary\\\": {\\n \\\"cost_basis_uncertain\\\": 33,\\n \\\"missing_isin\\\": 33,\\n \\\"missing_ticker\\\": 33,\\n \\\"needs_manual_review\\\": 34,\\n \\\"snapshot_only\\\": 34\\n },\\n \\\"review_items_created\\\": 34,\\n \\\"rows_total\\\": 40,\\n \\\"snapshot_date_status\\\": \\\"missing\\\",\\n \\\"source\\\": \\\"PostFinance\\\",\\n \\\"warnings_count\\\": 167\\n },\\n {\\n \\\"blocked_positions\\\": 17,\\n \\\"candidate_cash_rows\\\": 1,\\n \\\"candidate_positions\\\": 17,\\n \\\"errors_count\\\": 0,\\n \\\"file_present\\\": true,\\n \\\"mapped_positions\\\": 0,\\n \\\"quality_flags_summary\\\": {\\n \\\"cost_basis_uncertain\\\": 17,\\n \\\"missing_isin\\\": 17,\\n \\\"missing_ticker\\\": 17,\\n \\\"needs_manual_review\\\": 18,\\n \\\"snapshot_only\\\": 18\\n },\\n \\\"review_items_created\\\": 18,\\n \\\"rows_total\\\": 19,\\n \\\"snapshot_date_status\\\": \\\"missing\\\",\\n \\\"source\\\": \\\"True Wealth\\\",\\n \\\"warnings_count\\\": 87\\n },\\n {\\n \\\"blocked_positions\\\": 4,\\n \\\"candidate_cash_rows\\\": 3,\\n \\\"candidate_positions\\\": 4,\\n \\\"errors_count\\\": 0,\\n \\\"file_present\\\": true,\\n \\\"mapped_positions\\\": 0,\\n \\\"quality_flags_summary\\\": {\\n \\\"aggregate_only\\\": 4,\\n \\\"cash_snapshot_candidate\\\": 3,\\n \\\"missing_instrument_details\\\": 4,\\n \\\"needs_manual_review\\\": 7\\n },\\n \\\"review_items_created\\\": 7,\\n \\\"rows_total\\\": 8,\\n \\\"snapshot_date_status\\\": \\\"missing\\\",\\n \\\"source\\\": \\\"Raiffeisen\\\",\\n \\\"warnings_count\\\": 18\\n }\\n ],\\n \\\"productive_positions_unchanged\\\": true,\\n \\\"review_flags_last_session\\\": {\\n \\\"PostFinance\\\": {\\n \\\"cost_basis_uncertain\\\": 33,\\n \\\"missing_isin\\\": 33,\\n \\\"missing_ticker\\\": 33,\\n \\\"needs_manual_review\\\": 34,\\n \\\"snapshot_only\\\": 34\\n },\\n \\\"Raiffeisen\\\": {\\n \\\"aggregate_only\\\": 4,\\n \\\"cash_snapshot_candidate\\\": 3,\\n \\\"missing_instrument_details\\\": 4,\\n \\\"needs_manual_review\\\": 7\\n },\\n \\\"True Wealth\\\": {\\n \\\"cost_basis_uncertain\\\": 17,\\n \\\"missing_isin\\\": 17,\\n \\\"missing_ticker\\\": 17,\\n \\\"needs_manual_review\\\": 18,\\n \\\"snapshot_only\\\": 18\\n }\\n },\\n \\\"review_items_last_session\\\": {\\n \\\"PostFinance\\\": 34,\\n \\\"Raiffeisen\\\": 7,\\n \\\"True Wealth\\\": 18\\n },\\n \\\"transactions_unchanged\\\": true\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_RMWnVL8fLOisVXgO9tNQecOE" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_aoipckMYbegpJhi2CT0w9fqC", "call_id": "call_aoipckMYbegpJhi2CT0w9fqC", "response_item_id": "fc_0c76e56576ffc0fb016a06e8fa2dbc8191aec86a5fb820c860", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\",\"id\":\"b3-3\",\"status\":\"completed\"},{\"content\":\"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\",\"id\":\"b3-4\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Checking for missing function values**\n\nI need to take note that there’s a missing function value, which probably means the parser didn't detect the values accurately. I should verify the manual queue or dead-letter queue (DQ). Maybe I can use script counts if there are no labels present. It seems like I might also want to check out the dashboard functions to get more clarity on what's going wrong. It's a bit of a puzzle!", "reasoning_content": "**Checking for missing function values**\n\nI need to take note that there’s a missing function value, which probably means the parser didn't detect the values accurately. I should verify the manual queue or dead-letter queue (DQ). Maybe I can use script counts if there are no labels present. It seems like I might also want to check out the dashboard functions to get more clarity on what's going wrong. It's a bit of a puzzle!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuj6gVGJieM265ucfgT-8hsP5urhyzDrd-OhZG5LaOIaUKX8n_lw6gRhqPe4Adm11KqFse0E4IBVJvoi4_zySwWzfpXTFWXIuHbGZDccgd3Ouney0LdjKiWEEtJmdZKD-sKVS7PIvhtr_LPEM6-3GZmIV_s_TL0ue9jqWVFj-xlQZuzFseboj_yNgVN5I3JuC4zaZBJoWVTcQrZDIUEcB-ytjb1dxBYPLK2a6AXQUdFFhow81iKHoYekIMJ6Rddzvk0_l_MGqmhR2CpuS8eMPgdOXVpyQP2OPYG36t1-tLhDnC32SUe_Y5l4RghRexeD_Q3D3pSUseiu2lHh9l9vxgYm8YmIDK-dZT3gcxzy03nmSMc7ZNluDYQHUL3VQ-qv9GqxIdAhjjOhYhgKNzNLn0xEIl-YduxpLyS0vMxCTzC_AW31wHSpf14XCOuGS_-yuN61bljiv8WmEzqHXYJk4w2nG44IhqorG-ElYgRf4ezzQFqvTtDvVYrgwyiejLCoe5R6W0fsOScJ-WdsjGpPHE_iCmeiPJGKnmn_WNvVkda-YFMYkboDOpC_2GlhF-eWqzljmPn04GoFLCZWNPADEECaO0mqOXca36VoDLM9DFNe_q_-QD0yCkPUb4cj8CmdrLPv1wu44eIbPzRJEZyq1WneFNfpEa0AI73-E0y7GRjRZ9o6Q794hy7prZt2zt09pH0vkh6drArtyP9O7lOALUhTM2fuvChhBP0x2wycnMXbUIHTVWjgSg15XZGhd90X-5gpLXQxw9KeBozwmBD748zA60yjhOvMMosbv9dP6zWHy5hH889HNnWgxhxVcs6A5xTmlKBTfK8v2Uc3duBDg7n8HkJINsf68KCwuhHyDQDm2eJAI2XL1MRnd0oRK0GhtplDOJh8to1PIwitQPf_rAz5Ao6sHPMPxZQahedMlUNKIuQKf4y_TUu7aX_YcBVkrXnXMGQGVJ8vmPyekbb7YLGoHTuv7TgrBJvMP3x5YgysFuhQ95mnmbIMKHAGASL_TYUzKzhdqojM7SGreF9hflIVxJUA2yOYcXD4pZ7bA2s3XjMerxG2fEos0mfbhVcqHnppWofKvoDhEUCmfPIMFQs8CfNJmjiatPDeShfrP-Hv_Q0=", "id": "rs_0c76e56576ffc0fb016a06e8f570cc819185745d4c60ddd5f1", "summary": [ { "type": "summary_text", "text": "**Checking for missing function values**\n\nI need to take note that there’s a missing function value, which probably means the parser didn't detect the values accurately. I should verify the manual queue or dead-letter queue (DQ). Maybe I can use script counts if there are no labels present. It seems like I might also want to check out the dashboard functions to get more clarity on what's going wrong. It's a bit of a puzzle!" } ] } ] }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"b3-1\", \"content\": \"Preflight: Git, Git-Safety, Runtime-Pfade, Remote-Sync, Safe Mode prüfen\", \"status\": \"completed\"}, {\"id\": \"b3-2\", \"content\": \"Runtime-DB Backup erzeugen und verifizieren\", \"status\": \"completed\"}, {\"id\": \"b3-3\", \"content\": \"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\", \"status\": \"completed\"}, {\"id\": \"b3-4\", \"content\": \"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\", \"status\": \"in_progress\"}, {\"id\": \"b3-5\", \"content\": \"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 5, \"pending\": 1, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_aoipckMYbegpJhi2CT0w9fqC" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_tHfLpljFLlmY8jFdbaWFrf1a", "call_id": "call_tHfLpljFLlmY8jFdbaWFrf1a", "response_item_id": "fc_0c76e56576ffc0fb016a06e8fe96988191aed8a9c2050a8580", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python - <<'PY'\\nimport json, sqlite3\\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.dashboard import data\\nsettings=load_settings(); conn=connect(settings.db_path); apply_migrations(conn)\\nmanual_items=data.get_broker_review_items(conn, limit=1000)\\ndq=data.get_data_quality(conn)\\nflag_counts=data.get_review_quality_flag_counts(conn)\\ndry_runs=data.get_broker_dry_runs(conn)\\n# no row labels printed\\nstatus_counts={}\\nsource_counts={}\\nfor row in conn.execute(\\\"SELECT source_platform, review_status, COUNT(*) AS n FROM broker_import_review_items GROUP BY source_platform, review_status\\\").fetchall():\\n source_counts.setdefault(row['source_platform'], {})[row['review_status']]=row['n']\\nprint(json.dumps({\\n 'manual_review_queue_items_visible': len(manual_items)>0,\\n 'manual_review_queue_item_count': len(manual_items),\\n 'source_status_counts': source_counts,\\n 'data_quality_checks_count': len(dq),\\n 'data_quality_review_flag_counts': flag_counts,\\n 'dry_run_summaries_visible': len(dry_runs)>=3,\\n 'initial_snapshot_commit_action_active': False,\\n 'productive_position_rows': conn.execute('SELECT COUNT(*) AS n FROM positions_snapshot').fetchone()['n'],\\n 'transaction_rows': conn.execute('SELECT COUNT(*) AS n FROM transactions').fetchone()['n'],\\n}, ensure_ascii=False, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"{\\\"data_quality_checks_count\\\": 16, \\\"data_quality_review_flag_counts\\\": [{\\\"open_items\\\": \\\"3\\\", \\\"quality_flag\\\": \\\"cash_snapshot_candidate\\\"}, {\\\"open_items\\\": \\\"50\\\", \\\"quality_flag\\\": \\\"cost_basis_uncertain\\\"}, {\\\"open_items\\\": \\\"50\\\", \\\"quality_flag\\\": \\\"missing_isin\\\"}, {\\\"open_items\\\": \\\"50\\\", \\\"quality_flag\\\": \\\"missing_ticker\\\"}, {\\\"open_items\\\": \\\"55\\\", \\\"quality_flag\\\": \\\"needs_manual_review\\\"}, {\\\"open_items\\\": \\\"52\\\", \\\"quality_flag\\\": \\\"snapshot_only\\\"}], \\\"dry_run_summaries_visible\\\": true, \\\"initial_snapshot_commit_action_active\\\": false, \\\"manual_review_queue_item_count\\\": 59, \\\"manual_review_queue_items_visible\\\": true, \\\"productive_position_rows\\\": 0, \\\"source_status_counts\\\": {\\\"PostFinance\\\": {\\\"open\\\": 34}, \\\"Raiffeisen\\\": {\\\"blocked\\\": 4, \\\"open\\\": 3}, \\\"True Wealth\\\": {\\\"open\\\": 18}}, \\\"transaction_rows\\\": 0}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_tHfLpljFLlmY8jFdbaWFrf1a" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qIralLdHsasHF0mOI398OIdH", "call_id": "call_qIralLdHsasHF0mOI398OIdH", "response_item_id": "fc_0c76e56576ffc0fb016a06e90d1ab8819198038a6304df23a6", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\",\"old_string\":\" for row in conn.execute(\\\"SELECT quality_flags_json FROM broker_import_review_items WHERE review_status='open'\\\").fetchall():\\n\",\"new_string\":\" for row in conn.execute(\\\"SELECT quality_flags_json FROM broker_import_review_items WHERE review_status IN ('open','blocked')\\\").fetchall():\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering code adjustments**\n\nI’m noticing a bug where the aggregate_only blocked items aren’t being counted because the aggregate_review_quality_flags are only considering open items. The user is asking for DQ aggregate_only to be visible, but it won’t be visible because of the block. I believe I need a patch function that includes both open and blocked items. So, a code change is required, and I’ll need to run tests after implementing that patch!", "reasoning_content": "**Considering code adjustments**\n\nI’m noticing a bug where the aggregate_only blocked items aren’t being counted because the aggregate_review_quality_flags are only considering open items. The user is asking for DQ aggregate_only to be visible, but it won’t be visible because of the block. I believe I need a patch function that includes both open and blocked items. So, a code change is required, and I’ll need to run tests after implementing that patch!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBukNuva78b03izWQMlko8o_DHNaY8O9TE6kgjK-2ixeP0x21_BLsuN8dkKFlMqRjvguLVrq-Zd-vgUwBdHTQFr0ke014n_Bcjg2T4doTQQH4HvOvcz1ergiJvofjYtDVljxiLbUHj_IFu-Ic9wrIxL4mWgxoVARfxUA_4KWALsSjQ4eMqEIdcleDk1TpzhP7FJFj38KAUMdoCalQE-Tc3NOrB_J1GpLkRzmtig33tDeJXC7tOowH6NTfTLUZFpoWu82i-9YKN9wlUOStzPPxjY9Kmrqe53thvxKcFNet3fwRtNpBBqhGeu994yyiMV5_2gGYF9Dh7lBtd0RZMM38tqVaMMk13pbbEC0UIRP5gIgBituw7oa8Owe0nrfbhW_PauYP3dcYhq4LqufcltLYuoe1lBz5tGr-G3Q1-SL_EgvEuWYSferGaqRFQqXP4-onniOCpGIjbrVyheJQswW52uRa3ZYxTVTc60ynYI5Nok1MLPWEvMytGvX0fWgcFHNJPjuHAjDFT5rraXWaENOViacnj4AxKuBck_xZk74MPW-mEopeFpRHbS6CudWicjZ7hexVqjIR8FEEwAzdRIA0S9h9jlmYMXS3afBGmWxZ5pz10m6hbaVue-KMx4jEfCpIsgd5VDCiw0BVkhCZoiRWiL8OtfDuyJFT5WC9J4TjzFQLyBMm2Oxx1O4BlIOvIePBdA0fqMaD4_Ij7RFZxvNGV2C2GWG-jRJwWwOcWOrA76Ir2IY75gtULaWp-2ST54E-C48fbcqq2qnO3OlM24weEmltaeLkyceefX3EfN5YxTOSauuohGsJQrTr2lwuo8Cml_l8q1Z_UB_ssEEVQQtt3seVND2UNo1_BxLaVDi8PbqDe9m0wTtdeCQra_WYsOZs5goNmj97taiZc9rOTipOsY2gtBWkYHg3AvZjTwuQbBZ3q86payG5gaFJQzmFoTJO7U7QeBcvV00_N4KaZ8gNeQU7z09svDqest2zTKWa3yLM4CK3Ktv_WbPeDKVBSKRLjGo9_J3yOl0eDkTYIVBdwH9itALK_DfoMq7ucoOy44m9Wj0KT_xXpfGkwX0Ykb3YsrU1pI4g2Xepyo8yvCqUtXGUxh9aDWq4GsmpCsPCfQn5LUyDGpdmjbUO5errXRMUQLKG_d4TdIyc2tWB7lIhcGWfRyz_6qXiuQoA5WRY9tGNDSohxwCXoqKNmqF3_hwPbfnTk204irwNP4T9eHtO8rGg9Y4E1spo9gH5XoHq_Qi2Aew=", "id": "rs_0c76e56576ffc0fb016a06e9094b8081918b941c7c3739e67f", "summary": [ { "type": "summary_text", "text": "**Considering code adjustments**\n\nI’m noticing a bug where the aggregate_only blocked items aren’t being counted because the aggregate_review_quality_flags are only considering open items. The user is asking for DQ aggregate_only to be visible, but it won’t be visible because of the block. I believe I need a patch function that includes both open and blocked items. So, a code change is required, and I’ll need to run tests after implementing that patch!" } ] } ] }, { "role": "tool", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\\n@@ -342,7 +342,7 @@\\n \\n def aggregate_review_quality_flags(conn: Connection) -> dict[str, int]:\\n flags: Counter[str] = Counter()\\n- for row in conn.execute(\\\"SELECT quality_flags_json FROM broker_import_review_items WHERE review_status='open'\\\").fetchall():\\n+ for row in conn.execute(\\\"SELECT quality_flags_json FROM broker_import_review_items WHERE review_status IN ('open','blocked')\\\").fetchall():\\n try:\\n for flag in json.loads(row[\\\"quality_flags_json\\\"] or \\\"[]\\\"):\\n flags[str(flag)] += 1\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/imports/broker_mapping.py was modified by sibling subagent '20260515_102855_64f760' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes.\"}", "tool_call_id": "call_qIralLdHsasHF0mOI398OIdH" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_5VF6hDTgY7Kpv80DnMcvsasC", "call_id": "call_5VF6hDTgY7Kpv80DnMcvsasC", "response_item_id": "fc_0c76e56576ffc0fb016a06e911578881918e000c7fee598004", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" assert dq[\\\"Review Flag: missing_isin\\\"] == \\\"1\\\"\\n assert dq[\\\"Review Flag: missing_fx\\\"] == \\\"1\\\"\\n\\n\\ndef test_data_quality_includes_blocked_aggregate_only_review_flags(tmp_path: Path) -> None:\\n path = tmp_path / \\\"synthetic_raiffeisen.xlsx\\\"\\n _xlsx(path, [[\\\"Label\\\", \\\"Typ\\\", \\\"Währung\\\"], [\\\"Depot Anlagen gesamt\\\", \\\"Anlage\\\", \\\"CHF\\\"]])\\n c = conn()\\n run_broker_import_dry_run(c, parse_raiffeisen_xlsx(path), source_filename=path.name)\\n dq = {r[\\\"check\\\"]: r[\\\"count\\\"] for r in dashboard_data.get_data_quality(c)}\\n assert dq[\\\"Review Flag: aggregate_only\\\"] == \\\"1\\\"\\n assert dq[\\\"Review Flag: missing_instrument_details\\\"] == \\\"1\\\"\\n\\n\\ndef test_safe_mode_default_read_only_and_commit_disabled() -> None:\\n\",\"old_string\":\" assert dq[\\\"Review Flag: missing_isin\\\"] == \\\"1\\\"\\n assert dq[\\\"Review Flag: missing_fx\\\"] == \\\"1\\\"\\n\\n\\ndef test_safe_mode_default_read_only_and_commit_disabled() -> None:\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n@@ -130,6 +130,16 @@\\n assert dq[\\\"Review Flag: missing_fx\\\"] == \\\"1\\\"\\n \\n \\n+def test_data_quality_includes_blocked_aggregate_only_review_flags(tmp_path: Path) -> None:\\n+ path = tmp_path / \\\"synthetic_raiffeisen.xlsx\\\"\\n+ _xlsx(path, [[\\\"Label\\\", \\\"Typ\\\", \\\"Währung\\\"], [\\\"Depot Anlagen gesamt\\\", \\\"Anlage\\\", \\\"CHF\\\"]])\\n+ c = conn()\\n+ run_broker_import_dry_run(c, parse_raiffeisen_xlsx(path), source_filename=path.name)\\n+ dq = {r[\\\"check\\\"]: r[\\\"count\\\"] for r in dashboard_data.get_data_quality(c)}\\n+ assert dq[\\\"Review Flag: aggregate_only\\\"] == \\\"1\\\"\\n+ assert dq[\\\"Review Flag: missing_instrument_details\\\"] == \\\"1\\\"\\n+\\n+\\n def test_safe_mode_default_read_only_and_commit_disabled() -> None:\\n c = conn()\\n status = dashboard_data.get_safe_mode_status(c)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py was modified by sibling subagent '20260515_104455_1e842f' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes.\"}", "tool_call_id": "call_5VF6hDTgY7Kpv80DnMcvsasC" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_6yFTAfkNnjuCV8H27sguDRj6", "call_id": "call_6yFTAfkNnjuCV8H27sguDRj6", "response_item_id": "fc_0c76e56576ffc0fb016a06e91bc94881919c95b2b61271b1a9", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src pytest tests/unit/test_broker_parser_dry_run_pipeline.py -q\\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.dashboard import data\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nprint(json.dumps({'data_quality_review_flag_counts': data.get_review_quality_flag_counts(conn)}, sort_keys=True))\\nPY\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"........... [100%]\\n11 passed in 0.11s\\n{\\\"data_quality_review_flag_counts\\\": [{\\\"open_items\\\": \\\"4\\\", \\\"quality_flag\\\": \\\"aggregate_only\\\"}, {\\\"open_items\\\": \\\"3\\\", \\\"quality_flag\\\": \\\"cash_snapshot_candidate\\\"}, {\\\"open_items\\\": \\\"50\\\", \\\"quality_flag\\\": \\\"cost_basis_uncertain\\\"}, {\\\"open_items\\\": \\\"4\\\", \\\"quality_flag\\\": \\\"missing_instrument_details\\\"}, {\\\"open_items\\\": \\\"50\\\", \\\"quality_flag\\\": \\\"missing_isin\\\"}, {\\\"open_items\\\": \\\"50\\\", \\\"quality_flag\\\": \\\"missing_ticker\\\"}, {\\\"open_items\\\": \\\"59\\\", \\\"quality_flag\\\": \\\"needs_manual_review\\\"}, {\\\"open_items\\\": \\\"52\\\", \\\"quality_flag\\\": \\\"snapshot_only\\\"}]}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_6yFTAfkNnjuCV8H27sguDRj6" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_6xHOEfg9iBamjV1EE2IDsMQg", "call_id": "call_6xHOEfg9iBamjV1EE2IDsMQg", "response_item_id": "fc_0c76e56576ffc0fb016a06e92458688191a2ea874ce3a7a9e3", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\",\"id\":\"b3-4\",\"status\":\"completed\"},{\"content\":\"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\",\"id\":\"b3-5\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBukkiXWyiSDU6MV6qkS_Gx76Eg-9uEOa1C3K_Wijrj501mbxLDCmWNbjtf1kjIH4LIeTvMZZzEsFh_8oyI7xPwStLVsAFYYtXTipeWd8JtlNlVig1K2U6UWl2oSlhYN3qkVi6pDRerExdygk-KlItL3FntvqOBCLwXk-Ge73cIAT-B6ED45lXpjNnieHLEiXiNsGhp-QFHHRuo-RusfZ7STfnSPMWKXMLAGcUaP5ryIxiXTCnxqN35FWnU0dXn2JXo03LJ9_9frsN-C6ETcVY7ZH_hKpMKupoTnwbN1BSkapwV2wka-MD0xpPtUtmTZPg7AymgrWXSLG_WHZLrHTmU9PIZBAQsi6UGXoLaNa0zy6bKABvjuJyWdzuhCbVHWKj4KDrs9xsy2wKzGNqlxChyeD2vxCbGvXGOSEEeEXxItOEhTsEA3U_G_9PmLjSGtWZESXnzj1gH3Ad9SZ1GHFDP47qpufZ4Cs__kLBBVpKj16wdeHroUhA7dnEvIsuvqEiCdfaZPxrPLdWeSZtvLivMnN9_gPA6HL5Qf5TcgP210lAzZpFaO0w6Iks80rj8zq19sqomLSnc8v8XjNHvqw3Duj88t9-7iespF-_PV2vsetViRASeKVJexPJDUfZhkBccgOamDT9oFfZc1G-M-uNDCjnbtzOin4Mgc_ZEkh_Ep4Uw8d4Ms99lPvglY2viNteCn5qfD0VQNlFCLklszmYlR_RPInsNCns4iBXBOUPU4VzfeuEl0AkqiBKh08yH1-BpGoEWC6-ny9QJfpA6CVLyYpHJmPVfd2us32Yp2-6NQGHzJGIuTEScCSI3bvw4A4uSZtMaCCGF7hvF1DA1614I5KNmku2eFCLWblSTfNJsfBSBFGKE_ICTEH0aW2wMK1xeyQLan21evOa7rAgjXf7UsB96_YFjii_PlOP-Gj8RePc-mvn9nbZrijwaTYw9OA_Xjnp-ohVN4buwk0UykIY-8IQXLtIoQ4I-ZqMknU_ffSchyBZty5FPHbIrS-O1lfWCB-QMbKpwoctTTZ9XeKP1rlCF1xkt-_ux7Vy4DiBXLZ4SI=", "id": "rs_0c76e56576ffc0fb016a06e9222fd8819190b9191ba42b434c", "summary": [] } ] }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"b3-1\", \"content\": \"Preflight: Git, Git-Safety, Runtime-Pfade, Remote-Sync, Safe Mode prüfen\", \"status\": \"completed\"}, {\"id\": \"b3-2\", \"content\": \"Runtime-DB Backup erzeugen und verifizieren\", \"status\": \"completed\"}, {\"id\": \"b3-3\", \"content\": \"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\", \"status\": \"completed\"}, {\"id\": \"b3-4\", \"content\": \"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\", \"status\": \"completed\"}, {\"id\": \"b3-5\", \"content\": \"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 1, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_6xHOEfg9iBamjV1EE2IDsMQg" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_gIL3N7sopYUHaX4YXedTgE94", "call_id": "call_gIL3N7sopYUHaX4YXedTgE94", "response_item_id": "fc_0c76e56576ffc0fb016a06e928a8708191ae6dbc3b3f480fdc", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__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\": \"........................................................................ [ 49%]\\n........................................................................ [ 99%]\\n. [100%]\\n145 passed in 3.92s\\nGIT_SAFETY_OK\\n## main...origin/main\\n M src/jarvis_finance/imports/broker_mapping.py\\n M tests/unit/test_broker_parser_dry_run_pipeline.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_gIL3N7sopYUHaX4YXedTgE94" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_jwNr70vXazc0qruqvNvZIIS2", "call_id": "call_jwNr70vXazc0qruqvNvZIIS2", "response_item_id": "fc_0c76e56576ffc0fb016a06e934ab408191b22a8b049f865837", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ngit add src/jarvis_finance/imports/broker_mapping.py tests/unit/test_broker_parser_dry_run_pipeline.py\\ngit commit -m \\\"fix: include blocked broker review flags in data quality\\\"\\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", "reasoning": "**Preparing to commit code changes**\n\nI need to commit and push my code changes. I’m making sure everything is ready before I do that — checking for any uncommitted edits and ensuring I have a clear message for the commit. It’s always good to double-check that my changes are functioning as expected. Alright, once I confirm everything’s in order, I’ll go ahead and push the changes to the repository. Exciting!", "reasoning_content": "**Preparing to commit code changes**\n\nI need to commit and push my code changes. I’m making sure everything is ready before I do that — checking for any uncommitted edits and ensuring I have a clear message for the commit. It’s always good to double-check that my changes are functioning as expected. Alright, once I confirm everything’s in order, I’ll go ahead and push the changes to the repository. Exciting!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBuk0r3xVHaUaJz9wG6gpN1IoupX5iUq031cjsToDiQ8syGp_OTPveHtsau0xQO7S1ts4XzjNSzvWItech50-GNhSTNm5fF5_z_RjZTU_BTxR09U6MqO5hb6D4LIvspmfkmwK0Y-UUfjntSrBi_1WnzrsOzBzRghtsBJk6rtEP-5-79BlnHuTquRBf2iz6euPYPwXnSKWiUNLRHAso_TBJinjKhmnzq0lQZ0H-xm6qNKs79b9nS_3XBR0MD3LKSxeYDSkMkIQKuwr1EzzOXe3L1MoGVuisKIvll0IlcEb4JxsFTkrqhJ1UYYDG59n8qJVualzM1GqHMdgUfaUgwDAVfcKTC9MSYJGRW-w1RDWRHwXWYGc4v3y0ZGuHvVOyNwOnJLYTuT9_LnrluUadJKoEYt0_8v4c9fADvLF6Xbe58BoaJ6bRWqwalNvY2ZKV4ymgOpEIvl69sMAURFwd8JY_gDtiSf6r0ZWQ5DSBRGMyemcXyMyNJnq3d9CONFOs_YRIJEFmgwo_XzJzoLpfvz_1onAd68aNia2lEWI_d-tr8Ec6ZhLVy2kaEFVSZUrPJ551NK43nVG6PKQ0PFhFYk5NTLIzbMWKLZqi6-zEiDc3e4WzRY4_reC1fyt4JCMhGzVtdk1dIjc519HQxgdKrXr27ZeuFlVQ9yk4RXbST6u9KIyhyturlBkRdmby3dBAcm4c2_WfAePzkcH0IWcFQtcM3e_9j-mlEN3GlBYmSnY0fvdVIUyCSiLLb4hDsE00zyex-M2gNNEi9a0AGw_-y8cbhpOjRX6Zis7PhkxTGcxyk2hmW28v5G8A8qRIlT1TFe0lQrJV4N5TDlaWdbTvs6_hCL04VGNHFgp_deyn36awHAbYgMFnZ5ek7zEulMRDnGz6tb9eqQUaUee-pX-n7Vh7W3Fv9RGEiqy4C__TP1VABHJ7Qn4d3AETQlGUGdysrYD6OAz", "id": "rs_0c76e56576ffc0fb016a06e93272548191bed04409e92814f8", "summary": [ { "type": "summary_text", "text": "**Preparing to commit code changes**\n\nI need to commit and push my code changes. I’m making sure everything is ready before I do that — checking for any uncommitted edits and ensuring I have a clear message for the commit. It’s always good to double-check that my changes are functioning as expected. Alright, once I confirm everything’s in order, I’ll go ahead and push the changes to the repository. Exciting!" } ] } ] }, { "role": "tool", "content": "{\"output\": \"[main 4e808ed] fix: include blocked broker review flags in data quality\\n 2 files changed, 11 insertions(+), 1 deletion(-)\\n........................................................................ [ 49%]\\n........................................................................ [ 99%]\\n. [100%]\\n145 passed in 4.06s\\nGIT_SAFETY_OK\\n## main...origin/main [voraus 1]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_jwNr70vXazc0qruqvNvZIIS2" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_hYhzEsgCxTotNrgbfAbjIF34", "call_id": "call_hYhzEsgCxTotNrgbfAbjIF34", "response_item_id": "fc_0c76e56576ffc0fb016a06e93ef3548191a7ffc6468e851e81", "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().joinpath('jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv').read_text()\\nm=re.search(r'(github_pat_[A-Za-z0-9_]+|ghp_[A-Za-z0-9_]+|gho_[A-Za-z0-9_]+)', text)\\nif not m:\\n print('TOKEN_PARSE=failed'); sys.exit(12)\\ntoken=m.group(1); auth_url=f'https://{token}@github.com/Gamexgit/FinanceManager.git'\\ndef run(args, check=True): return subprocess.run(args, cwd=repo, text=True, capture_output=True, check=check)\\ntry:\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n local=run(['git','rev-parse','HEAD']).stdout.strip(); origin=run(['git','rev-parse','origin/main']).stdout.strip(); base=run(['git','merge-base','HEAD','origin/main']).stdout.strip()\\n print('REMOTE_BEFORE='+origin[:7]); print('LOCAL_HEAD='+local[:7])\\n if origin != base:\\n print('REMOTE_HAS_NEW_COMMITS=yes'); sys.exit(3)\\n push=run(['git','push',auth_url,'main:main'], check=False)\\n if push.returncode:\\n print('PUSH=failed'); print((push.stderr or push.stdout).replace(token,'[REDACTED]')[-1000:]); sys.exit(push.returncode)\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n print('PUSH=success'); print('REMOTE_AFTER='+run(['git','rev-parse','--short','origin/main']).stdout.strip())\\nfinally:\\n token=None; auth_url=None\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"REMOTE_BEFORE=fa254a9\\nLOCAL_HEAD=4e808ed\\nPUSH=success\\nREMOTE_AFTER=4e808ed\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_hYhzEsgCxTotNrgbfAbjIF34" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_lap61N5DMizB7aaLCon7a8HM", "call_id": "call_lap61N5DMizB7aaLCon7a8HM", "response_item_id": "fc_0c76e56576ffc0fb016a06e9512a2c8191bc3e27d6562e63d2", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\",\"id\":\"b3-5\",\"status\":\"completed\"}]}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"b3-1\", \"content\": \"Preflight: Git, Git-Safety, Runtime-Pfade, Remote-Sync, Safe Mode prüfen\", \"status\": \"completed\"}, {\"id\": \"b3-2\", \"content\": \"Runtime-DB Backup erzeugen und verifizieren\", \"status\": \"completed\"}, {\"id\": \"b3-3\", \"content\": \"Echte PostFinance/True Wealth/Raiffeisen Dateien temporär finden und Dry-Runs ausführen\", \"status\": \"completed\"}, {\"id\": \"b3-4\", \"content\": \"Review Queue/Data Quality prüfen und produktive Positionen unverändert verifizieren\", \"status\": \"completed\"}, {\"id\": \"b3-5\", \"content\": \"Compile, pytest, Git-Safety, Git Status, optional Commit/Push falls Codeänderungen\", \"status\": \"completed\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 0, \"completed\": 5, \"cancelled\": 0}}", "tool_call_id": "call_lap61N5DMizB7aaLCon7a8HM" }, { "role": "assistant", "content": "Erledigt, Sir. Phase B3 ist kontrolliert abgeschlossen.\n\n## Gesamtstatus\n\n- Phase B3: **erfolgreich durchgeführt**\n- Produktiver Initial Snapshot: **nein**\n- Produktive Aktien-/ETF-Positionen geschrieben: **nein**\n- Produktive Cash-Snapshots geschrieben: **nein**\n- Ledger-Transaktionen aus Brokerdateien geschrieben: **nein**\n- Echte Dateien ins Git kopiert: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Runtime Review Items erzeugt: **ja**\n- Code geändert: **ja**, kleiner Fix für Data Quality Center\n- Commit: `4e808ed`\n- Push Status: **erfolgreich**\n- Remote HEAD: `4e808ed`\n- Git Status: **clean**, `main...origin/main`\n- Tests: `145 passed`\n- Git-Safety nach Abschluss: `GIT_SAFETY_OK`\n\n## Preflight\n\nGeprüft:\n\n- Git Status clean: **ja**\n- Remote HEAD synchron: **ja**\n- Git-Safety vorab: **OK**\n- Runtime-DB außerhalb Repo: **ja**\n- Backup-/Reports-/Imports-Ordner außerhalb Repo: **ja**\n- echte Broker-/Bank-Dateien im Repo: **0**\n- Safe Mode / Read-only für produktive Imports: **aktiv**\n- produktive Commit-Aktionen im UI: **weiterhin deaktiviert**\n\n## Backup\n\nVor dem Real-File Dry Run ausgeführt:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Checksum OK: **ja**\n- Speicherort: **Runtime-Backup-Ordner**\n- Sensitive Pfade/Dateinamen: **nicht ausgegeben**\n\n## Real-File Dry Runs\n\nDie echten Dateien wurden nur temporär gelesen und nicht ins Repo kopiert. Temporärer Verarbeitungskontext wurde bereinigt.\n\n### PostFinance Dry Run\n\n- rows_total: `40`\n- candidate_positions: `33`\n- candidate_cash_rows: `1`\n- mapped_positions: `0`\n- blocked_positions: `33`\n- review_items_created: `34`\n- warnings_count: `167`\n- errors_count: `0`\n- snapshot_date_status: `missing`\n\nQuality Flags:\n\n- `missing_isin`: `33`\n- `missing_ticker`: `33`\n- `snapshot_only`: `34`\n- `cost_basis_uncertain`: `33`\n- `needs_manual_review`: `34`\n\nBewertung:\n\n- Parser hat Positions- und Cash-Kandidaten erkannt.\n- Keine produktiven Positionen geschrieben.\n- Name-only / fehlende ISIN/Ticker bleiben korrekt review-pflichtig.\n\n### True Wealth Dry Run\n\n- rows_total: `19`\n- candidate_positions: `17`\n- candidate_cash_rows: `1`\n- mapped_positions: `0`\n- blocked_positions: `17`\n- review_items_created: `18`\n- warnings_count: `87`\n- errors_count: `0`\n- snapshot_date_status: `missing`\n\nQuality Flags:\n\n- `missing_isin`: `17`\n- `missing_ticker`: `17`\n- `snapshot_only`: `18`\n- `cost_basis_uncertain`: `17`\n- `needs_manual_review`: `18`\n\nBewertung:\n\n- Parser hat ETF-/positionsähnliche Zeilen und Cash-/Kontozeilen erkannt.\n- Aktuell keine ISIN/Ticker-Autoerkennung aus der echten Struktur.\n- True Wealth wird dadurch korrekt in die Review Queue gelenkt, statt still importiert zu werden.\n- `missing_fx` trat in diesem Lauf nicht auf.\n\n### Raiffeisen Dry Run\n\n- rows_total: `8`\n- candidate_positions: `4`\n- candidate_cash_rows: `3`\n- mapped_positions: `0`\n- blocked_positions: `4`\n- review_items_created: `7`\n- warnings_count: `18`\n- errors_count: `0`\n- snapshot_date_status: `missing`\n\nQuality Flags:\n\n- `cash_snapshot_candidate`: `3`\n- `aggregate_only`: `4`\n- `missing_instrument_details`: `4`\n- `needs_manual_review`: `7`\n\nBewertung:\n\n- Raiffeisen wurde defensiv verarbeitet.\n- Cash-/Kontrollsnapshot-Kandidaten wurden erkannt.\n- Aggregierte Anlage-/Depotzeilen wurden **nicht** als Instrumentpositionen importiert.\n- Aggregate-only Items wurden blockiert/review-pflichtig gespeichert. Sehr unaufgeregt. So soll es sein.\n\n## Review Items\n\nNeue Runtime Review Items aus Phase B3:\n\n- PostFinance: `34`\n- True Wealth: `18`\n- Raiffeisen: `7`\n- Total: `59`\n\nStatusverteilung:\n\n- PostFinance:\n - open: `34`\n- True Wealth:\n - open: `18`\n- Raiffeisen:\n - open: `3`\n - blocked: `4`\n\nRegeln erfüllt:\n\n- jeder Review Item hat `dry_run_id`\n- source platform vorhanden\n- row hash vorhanden\n- detected fields vorhanden\n- quality flags vorhanden\n- status `open` oder `blocked`\n- alte Dry Runs wurden nicht überschrieben\n- Details liegen nur in der Runtime-DB\n\n## Manual Review Queue\n\nGeprüft:\n\n- Review Items sichtbar: **ja**\n- Quelle sichtbar: **ja**\n- Status sichtbar: **ja**\n- Quality Flags sichtbar: **ja**\n- produktive Initial-Snapshot-Commit-Aktion aktiv: **nein**\n- Mapping-Aktionen bleiben kontrolliert/deaktiviert vorbereitet: **ja**\n\n## Data Quality Center\n\nGeprüft:\n\n- Review Flags werden aggregiert: **ja**\n- `missing_isin` sichtbar: **ja**\n- `missing_ticker` sichtbar: **ja**\n- `snapshot_only` sichtbar: **ja**\n- `cost_basis_uncertain` sichtbar: **ja**\n- `aggregate_only` sichtbar: **ja**\n- `missing_instrument_details` sichtbar: **ja**\n- `cash_snapshot_candidate` sichtbar: **ja**\n- `missing_fx`: in diesem Lauf **nicht vorhanden**\n- stale/missing price alerts weiterhin integriert: **ja**\n- resolved/fixed alerts weiterhin integriert: **ja**\n- produktive Positionswerte angezeigt: **nein**\n\nDabei wurde ein kleiner Code-Fix nötig:\n\n- Vorher wurden im Data Quality Center nur `open` Review Items für Quality Flags aggregiert.\n- Raiffeisen `aggregate_only` Items sind absichtlich `blocked`.\n- Fix: Data Quality aggregiert nun `open` **und** `blocked` Review Items.\n- Test ergänzt.\n\nCommit:\n\n- `4e808ed` — `fix: include blocked broker review flags in data quality`\n\n## Produktive DB-Positionen unverändert\n\nVerifiziert:\n\n- `positions_snapshot`: unverändert\n- `transactions`: unverändert\n- Cash-Ledger: unverändert / nicht produktiv beschrieben\n- Broker Dry Runs: neu erzeugt\n- Broker Review Items: neu erzeugt\n\nHeißt: Die Dry-Run-Pipeline hat Review-/Quality-Daten erzeugt, aber keine produktive Portfolio-Wahrheit verändert.\n\n## Tests / Safety\n\nNach Abschluss ausgeführt:\n\n- Compile: **OK**\n- pytest: `145 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: clean\n- Push: erfolgreich\n\n## Neue/geänderte Dateien\n\nGeändert:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `tests/unit/test_broker_parser_dry_run_pipeline.py`\n\nKeine echten Broker-/Bank-Dateien wurden committed.\n\n## Nächste Empfehlung\n\nPhase B4 sollte jetzt **Review Queue Hardening** sein, noch immer ohne produktiven Import:\n\n1. Review Items pro Dry Run filterbar machen.\n2. Dry Run archivieren/verwerfen vorbereiten.\n3. Source-spezifische Review-Ansichten:\n - PostFinance\n - True Wealth\n - Raiffeisen\n4. Manuelle Ergänzung von:\n - ISIN\n - Ticker\n - Exchange\n - Account Mapping\n5. Jede Review-Aktion mit Audit-Log.\n6. Noch kein Initial Snapshot Commit.\n7. Danach erst kontrollierter, explizit freigegebener Import einer kleinen reviewed Safe Subset Position.\n\nKurz: Die echten Dateien sind jetzt trocken durch den Apparat gelaufen. Nichts Wertvolles wurde verschüttet, nichts Reales ins Git getragen, und die Review Queue hat endlich echte Arbeit vor sich.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBulVwvXzKZ_E9zhCkWdaHnpgMCvx3CNYnc9DQxZRsxrVU1uHBqJl5eIDYY3W_xTE_wzqtyrMBED_wVBr-Vc5UZtMaCJFCtFu5jTDuBOEKMmdjiOhwNPl4qjdEHtPo7GwV8L0w5AM8mVPtUPrVRPJCyDrDkpv_PF7vlnXv1k8GBWzAgz54_ivtnASAdoQdJR8mjSg16HaRbvyuzGN4H2PIUjir18C7SjUC3ozFLqTfbNxJaxRwFnMj61hxQsEZsYFVU83DQzxVHEQM2T3bnOjwg25lS2Ip-bcN_AGwCgTl4Am6MdIwOzqG8HdkvQjpJP_fgckwZf3YM854XJzSNQVCzeqMd4NJV3NvQtGWHcJL98pmV3mlSgB6lyfIRGft8Wa52fFAyfM0qi7HiFSZycZymxW1t2y2fFj-17lLUc4_ARbA0ONGGzVjG4M9JW8TcqOQ-kKfvhWWfHXaUQvuCKUliCIJwgXCQACCbraG5mKEbD6Cm5vLhiu_ciWiU5_VexChkdK6XVPwVQE5rAV-4hDemdSqtuJQNdx5csPdRvPIuJAA0-CyWjLR_UjkJlXAZJ2M1KmFbgKJS28inidS_9HCvlmhg8BDteRaquaa5empvTlt02R_J70zm8aBz8UCAn9GdMovMOxtqn4tRdxg680Z-LW16Xnad41F4W4hG2rJOSSnpdLqFkwJVRxSBAsOK1z0NZVQS_AkegbsjcjI25WPoQ2iaUW9prRq8gdjekAP5auPzziIqJAB5uaPDdKcCbaye9S9yS3WAyChAtgGJGPFfZtzPXZEAUxxc7heIy0PHRtxX-7UdzjAkTq-LJE-7-rf9kKIgxQVy7XaNeQZWEIY5PTwriOuPYj6Ql3ZRiib55Hpl2UIt3cP7YCtetYcgMACcsn97HkrchHpgTohxF_sqT3x925HaJkDPZ6pmipzwtg360BUwQ0WP2-AKQMMKR48xRtm6O4jUu4zCqcHfahArr_A_xDw0nFGvVNrK5RJ0_r-aJFLCgDJSzCy6VW4e4vzBUAn8BZ239LmQRC-4Mp47MDdxqWhOih9mWMaxeOy_MrGh_uu67tyf5mQ7LuRZrOvK7X-zE3K0PcpyMDxF5Cyy4xg0ZY_ockb91qULr-Ffg7Ucvv4E7EE0lVpoWXtPaX1-7QYzznja0lmeEei7SZCqSw25oN19nLZN-0CF_Z4GCxz7Q=", "id": "rs_0c76e56576ffc0fb016a06e9545654819196cd0225652a9285", "summary": [] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Erledigt, Sir. Phase B3 ist kontrolliert abgeschlossen.\n\n## Gesamtstatus\n\n- Phase B3: **erfolgreich durchgeführt**\n- Produktiver Initial Snapshot: **nein**\n- Produktive Aktien-/ETF-Positionen geschrieben: **nein**\n- Produktive Cash-Snapshots geschrieben: **nein**\n- Ledger-Transaktionen aus Brokerdateien geschrieben: **nein**\n- Echte Dateien ins Git kopiert: **nein**\n- Echte Werte/Mengen/Kontostände im Chat: **nein**\n- Runtime Review Items erzeugt: **ja**\n- Code geändert: **ja**, kleiner Fix für Data Quality Center\n- Commit: `4e808ed`\n- Push Status: **erfolgreich**\n- Remote HEAD: `4e808ed`\n- Git Status: **clean**, `main...origin/main`\n- Tests: `145 passed`\n- Git-Safety nach Abschluss: `GIT_SAFETY_OK`\n\n## Preflight\n\nGeprüft:\n\n- Git Status clean: **ja**\n- Remote HEAD synchron: **ja**\n- Git-Safety vorab: **OK**\n- Runtime-DB außerhalb Repo: **ja**\n- Backup-/Reports-/Imports-Ordner außerhalb Repo: **ja**\n- echte Broker-/Bank-Dateien im Repo: **0**\n- Safe Mode / Read-only für produktive Imports: **aktiv**\n- produktive Commit-Aktionen im UI: **weiterhin deaktiviert**\n\n## Backup\n\nVor dem Real-File Dry Run ausgeführt:\n\n- Runtime-DB Backup erzeugt: **ja**\n- Backup verifiziert: **ja**\n- Checksum OK: **ja**\n- Speicherort: **Runtime-Backup-Ordner**\n- Sensitive Pfade/Dateinamen: **nicht ausgegeben**\n\n## Real-File Dry Runs\n\nDie echten Dateien wurden nur temporär gelesen und nicht ins Repo kopiert. Temporärer Verarbeitungskontext wurde bereinigt.\n\n### PostFinance Dry Run\n\n- rows_total: `40`\n- candidate_positions: `33`\n- candidate_cash_rows: `1`\n- mapped_positions: `0`\n- blocked_positions: `33`\n- review_items_created: `34`\n- warnings_count: `167`\n- errors_count: `0`\n- snapshot_date_status: `missing`\n\nQuality Flags:\n\n- `missing_isin`: `33`\n- `missing_ticker`: `33`\n- `snapshot_only`: `34`\n- `cost_basis_uncertain`: `33`\n- `needs_manual_review`: `34`\n\nBewertung:\n\n- Parser hat Positions- und Cash-Kandidaten erkannt.\n- Keine produktiven Positionen geschrieben.\n- Name-only / fehlende ISIN/Ticker bleiben korrekt review-pflichtig.\n\n### True Wealth Dry Run\n\n- rows_total: `19`\n- candidate_positions: `17`\n- candidate_cash_rows: `1`\n- mapped_positions: `0`\n- blocked_positions: `17`\n- review_items_created: `18`\n- warnings_count: `87`\n- errors_count: `0`\n- snapshot_date_status: `missing`\n\nQuality Flags:\n\n- `missing_isin`: `17`\n- `missing_ticker`: `17`\n- `snapshot_only`: `18`\n- `cost_basis_uncertain`: `17`\n- `needs_manual_review`: `18`\n\nBewertung:\n\n- Parser hat ETF-/positionsähnliche Zeilen und Cash-/Kontozeilen erkannt.\n- Aktuell keine ISIN/Ticker-Autoerkennung aus der echten Struktur.\n- True Wealth wird dadurch korrekt in die Review Queue gelenkt, statt still importiert zu werden.\n- `missing_fx` trat in diesem Lauf nicht auf.\n\n### Raiffeisen Dry Run\n\n- rows_total: `8`\n- candidate_positions: `4`\n- candidate_cash_rows: `3`\n- mapped_positions: `0`\n- blocked_positions: `4`\n- review_items_created: `7`\n- warnings_count: `18`\n- errors_count: `0`\n- snapshot_date_status: `missing`\n\nQuality Flags:\n\n- `cash_snapshot_candidate`: `3`\n- `aggregate_only`: `4`\n- `missing_instrument_details`: `4`\n- `needs_manual_review`: `7`\n\nBewertung:\n\n- Raiffeisen wurde defensiv verarbeitet.\n- Cash-/Kontrollsnapshot-Kandidaten wurden erkannt.\n- Aggregierte Anlage-/Depotzeilen wurden **nicht** als Instrumentpositionen importiert.\n- Aggregate-only Items wurden blockiert/review-pflichtig gespeichert. Sehr unaufgeregt. So soll es sein.\n\n## Review Items\n\nNeue Runtime Review Items aus Phase B3:\n\n- PostFinance: `34`\n- True Wealth: `18`\n- Raiffeisen: `7`\n- Total: `59`\n\nStatusverteilung:\n\n- PostFinance:\n - open: `34`\n- True Wealth:\n - open: `18`\n- Raiffeisen:\n - open: `3`\n - blocked: `4`\n\nRegeln erfüllt:\n\n- jeder Review Item hat `dry_run_id`\n- source platform vorhanden\n- row hash vorhanden\n- detected fields vorhanden\n- quality flags vorhanden\n- status `open` oder `blocked`\n- alte Dry Runs wurden nicht überschrieben\n- Details liegen nur in der Runtime-DB\n\n## Manual Review Queue\n\nGeprüft:\n\n- Review Items sichtbar: **ja**\n- Quelle sichtbar: **ja**\n- Status sichtbar: **ja**\n- Quality Flags sichtbar: **ja**\n- produktive Initial-Snapshot-Commit-Aktion aktiv: **nein**\n- Mapping-Aktionen bleiben kontrolliert/deaktiviert vorbereitet: **ja**\n\n## Data Quality Center\n\nGeprüft:\n\n- Review Flags werden aggregiert: **ja**\n- `missing_isin` sichtbar: **ja**\n- `missing_ticker` sichtbar: **ja**\n- `snapshot_only` sichtbar: **ja**\n- `cost_basis_uncertain` sichtbar: **ja**\n- `aggregate_only` sichtbar: **ja**\n- `missing_instrument_details` sichtbar: **ja**\n- `cash_snapshot_candidate` sichtbar: **ja**\n- `missing_fx`: in diesem Lauf **nicht vorhanden**\n- stale/missing price alerts weiterhin integriert: **ja**\n- resolved/fixed alerts weiterhin integriert: **ja**\n- produktive Positionswerte angezeigt: **nein**\n\nDabei wurde ein kleiner Code-Fix nötig:\n\n- Vorher wurden im Data Quality Center nur `open` Review Items für Quality Flags aggregiert.\n- Raiffeisen `aggregate_only` Items sind absichtlich `blocked`.\n- Fix: Data Quality aggregiert nun `open` **und** `blocked` Review Items.\n- Test ergänzt.\n\nCommit:\n\n- `4e808ed` — `fix: include blocked broker review flags in data quality`\n\n## Produktive DB-Positionen unverändert\n\nVerifiziert:\n\n- `positions_snapshot`: unverändert\n- `transactions`: unverändert\n- Cash-Ledger: unverändert / nicht produktiv beschrieben\n- Broker Dry Runs: neu erzeugt\n- Broker Review Items: neu erzeugt\n\nHeißt: Die Dry-Run-Pipeline hat Review-/Quality-Daten erzeugt, aber keine produktive Portfolio-Wahrheit verändert.\n\n## Tests / Safety\n\nNach Abschluss ausgeführt:\n\n- Compile: **OK**\n- pytest: `145 passed`\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: clean\n- Push: erfolgreich\n\n## Neue/geänderte Dateien\n\nGeändert:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `tests/unit/test_broker_parser_dry_run_pipeline.py`\n\nKeine echten Broker-/Bank-Dateien wurden committed.\n\n## Nächste Empfehlung\n\nPhase B4 sollte jetzt **Review Queue Hardening** sein, noch immer ohne produktiven Import:\n\n1. Review Items pro Dry Run filterbar machen.\n2. Dry Run archivieren/verwerfen vorbereiten.\n3. Source-spezifische Review-Ansichten:\n - PostFinance\n - True Wealth\n - Raiffeisen\n4. Manuelle Ergänzung von:\n - ISIN\n - Ticker\n - Exchange\n - Account Mapping\n5. Jede Review-Aktion mit Audit-Log.\n6. Noch kein Initial Snapshot Commit.\n7. Danach erst kontrollierter, explizit freigegebener Import einer kleinen reviewed Safe Subset Position.\n\nKurz: Die echten Dateien sind jetzt trocken durch den Apparat gelaufen. Nichts Wertvolles wurde verschüttet, nichts Reales ins Git getragen, und die Review Queue hat endlich echte Arbeit vor sich." } ], "id": "msg_0c76e56576ffc0fb016a06e955669c8191ba24768313303927", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] Sehr gut. Phase B3 ist akzeptiert.\n\nDer Stand ist sauber:\n\n* Commit 4e808ed gepusht\n* Tests: 145 passed\n* Git-Safety: OK\n* Backup vor Real-File-Dry-Run erzeugt und verifiziert\n* echte Broker-/Bank-Dateien nur temporär gelesen\n* keine echten Dateien ins Git\n* keine echten Werte/Mengen im Chat\n* Review Items in Runtime erzeugt\n* keine produktiven Positionen, Cash-Snapshots oder Ledger-Transaktionen geschrieben\n\nDie Ergebnisse zeigen klar:\n\n* PostFinance und True Wealth liefern viele Positionskandidaten, aber aktuell 0 automatisch gemappte Positionen.\n* Hauptgründe: fehlende/unklare ISIN, Ticker, Exchange, Stichtag und Cost-Basis-Unsicherheit.\n* Raiffeisen wurde korrekt defensiv als Cash-/Kontrollsnapshot bzw. Aggregate behandelt.\n\nBitte fahre nun mit Phase B4 fort.\n\n# Phase B4 — Review Queue Hardening und manuelles Mapping\n\nZiel:\nDie echten Dry-Run-Ergebnisse sollen im Dashboard so bearbeitbar werden, dass ich fehlende Mappings manuell ergänzen und Positionen für einen späteren Import freigeben kann.\n\nWichtig:\nNoch immer kein produktiver Initial Snapshot.\nNoch keine produktiven Aktien-/ETF-/Cash-Imports.\nNoch keine Ledger-Commits aus Brokerdateien.\n\n## 1. Review Queue Filter und Detailansicht\n\nBitte erweitere die Manual Review Queue.\n\nFilter:\n\n* Quelle:\n\n * PostFinance\n * True Wealth\n * Raiffeisen\n* Dry Run Session\n* Status:\n\n * open\n * blocked\n * mapped\n * ignored\n * resolved\n* Quality Flags:\n\n * missing_isin\n * missing_ticker\n * snapshot_only\n * cost_basis_uncertain\n * market_value_legacy\n * missing_fx\n * aggregate_only\n * missing_instrument_details\n * cash_snapshot_candidate\n * needs_manual_review\n* Assetklasse\n* Währung\n* Account Mapping Status\n\nDetailansicht pro Review Item:\n\n* Quelle\n* Dry Run ID\n* Source Row Reference\n* Source Label\n* Normalized Name\n* erkannte Assetklasse\n* erkannte Währung\n* erkannte ISIN\n* erkannter Ticker\n* erkannte Exchange\n* Account Mapping\n* Quality Flags\n* Review Status\n* Reviewer Note\n* Audit History zu diesem Item\n\nWichtig:\nKeine echten Mengen/Werte im Chat oder Git. In der Runtime-UI dürfen Details sichtbar sein, aber nicht exportiert/committed werden.\n\n## 2. Manuelle Mapping-Aktionen aktivieren\n\nBitte aktiviere kontrollierte Mapping-Aktionen für Review Items.\n\nAktionen:\n\nA. ISIN ergänzen\n\n* Eingabefeld ISIN\n* Validierung Format grob prüfen\n* Status von missing_isin aktualisieren\n* Audit-Log schreiben\n\nB. Ticker ergänzen\n\n* Eingabefeld Ticker\n* optional Exchange\n* Ticker ohne Exchange bleibt review-pflichtig\n* Audit-Log schreiben\n\nC. Exchange ergänzen\n\n* z.B. SIX, XETRA, NASDAQ, NYSE, LSE usw.\n* Audit-Log schreiben\n\nD. Instrument Mapping bestätigen\n\n* Wenn ISIN vorhanden: auf vorhandenes Instrument mappen oder neues Instrument vorbereiten\n* Wenn nur Ticker + Exchange vorhanden: Mapping als review-pflichtig markieren, außer explizit bestätigt\n* Name allein darf niemals automatisch auf mapped gesetzt werden\n* Audit-Log schreiben\n\nE. Account Mapping bestätigen\n\n* Source Account auf internes Konto mappen\n* PostFinance / True Wealth / Raiffeisen getrennt halten\n* Cash und Brokerage nicht vermischen\n* Audit-Log schreiben\n\nF. Ignore with note\n\n* Review Item ignorieren\n* Notiz Pflicht\n* Status ignored\n* Audit-Log schreiben\n\nG. Mark resolved\n\n* Nur möglich, wenn Pflichtprobleme gelöst sind\n* Status resolved\n* Audit-Log schreiben\n\n## 3. Import Readiness Status\n\nBitte berechne pro Review Item und pro Dry Run Session einen Import-Readiness-Status.\n\nVorschlag pro Review Item:\n\n* not_ready\n* review_needed\n* ready_for_import\n* ignored\n* blocked\n\nEin Review Item darf nur ready_for_import sein, wenn:\n\nFür Aktien/ETFs:\n\n* source_platform vorhanden\n* account mapping vorhanden\n* asset_class equity oder etf\n* ISIN vorhanden oder Ticker + Exchange explizit bestätigt\n* currency vorhanden\n* snapshot_date klar oder explizit manuell bestätigt\n* Menge vorhanden\n* keine blockierenden Quality Flags\n* reviewer confirmation vorhanden\n\nFür Cash:\n\n* account mapping vorhanden\n* currency vorhanden\n* snapshot_date klar oder bestätigt\n* Betrag vorhanden\n* reviewer confirmation\nvorhanden\n\nFür Aggregate/Raiffeisen:\n\n* aggregate_only darf nicht als Instrumentposition importiert werden\n* nur Cash-/Kontrollsnapshot, falls eindeutig\n\n## 4. Dry Run Session Management\n\nBitte baue eine Übersicht für Dry Run Sessions:\n\n* Dry Run ID\n* Quelle\n* Dateityp\n* Erstellungszeitpunkt\n* Snapshot Date Status\n* Anzahl Review Items\n* Anzahl ready_for_import\n* Anzahl blocked\n* Anzahl ignored\n* Anzahl open\n* Warnings/Errors\n\nAktionen vorbereiten:\n\n* Dry Run archivieren\n* Dry Run verwerfen\n* Dry Run als aktuell markieren\n* nur aktuelle Session im Import Wizard priorisieren\n\nRegeln:\n\n* Archivieren/verwerfen löscht keine Audit-Historie.\n* Kein produktiver Import durch diese Aktionen.\n* Audit-Log für Statusänderung.\n\n## 5. Data Quality Center erweitern\n\nBitte erweitere das Data Quality Center:\n\n* Anzahl Review Items je Quality Flag\n* Anzahl ready_for_import\n* Anzahl not_ready\n* Anzahl blocked\n* Anzahl ignored\n* Warnung, wenn eine Quelle 0 ready_for_import hat\n* Warnung, wenn Snapshot Date fehlt\n* Warnung, wenn viele Items missing_isin/missing_ticker haben\n* Link zur Review Queue mit vorgefilterter Ansicht\n\nButtons:\n\n* Data Quality Recheck\n* Resolve Fixed Alerts\n* Review Items aktualisieren\n\nProduktive Import-Buttons bleiben deaktiviert.\n\n## 6. Safe Mode / Write Enable\n\nBitte Safe Mode weiter stärken:\n\n* Global sichtbar:\n\n * Runtime DB oder Demo DB\n * Read-only oder Write-enabled\n * letzter Backup-Zeitpunkt\n * Git-Safety Status, falls verfügbar\n* Default bleibt Read-only.\n* Mapping-Aktionen dürfen trotz Read-only nur dann erlaubt sein, wenn sie ausdrücklich als Review-Metadaten-Aktion gelten und keine produktive Portfolio-Position schreiben.\n* Produktiver Import bleibt blockiert.\n\nBitte klar trennen:\n\n* Review-Metadaten schreiben: erlaubt nach Bestätigung\n* Portfolio-/Ledger-/Snapshot schreiben: weiterhin blockiert\n\n## 7. Tests\n\nBitte Tests ergänzen für:\n\n* Review Queue Filter nach Quelle\n* Review Queue Filter nach Dry Run ID\n* Review Queue Filter nach Quality Flag\n* ISIN ergänzen erzeugt Audit\n* Ticker/Exchange ergänzen erzeugt Audit\n* Name allein bleibt nicht automatisch mapped\n* Instrument Mapping mit ISIN kann ready_for_import werden\n* Ticker ohne Exchange bleibt review_needed\n* Account Mapping Bestätigung erzeugt Audit\n* Ignore with note funktioniert\n* Ignore ohne Note wird abgelehnt\n* Mark resolved nur bei gelösten Pflichtproblemen\n* ready_for_import Berechnung für Equity\n* ready_for_import Berechnung für ETF\n* ready_for_import Berechnung für Cash\n* aggregate_only bleibt blockiert für Instrumentimport\n* Dry Run archivieren/verwerfen erzeugt Audit\n* Data Quality Center zeigt ready/not_ready/blocked/ignored Counts\n* produktiver Import bleibt deaktiviert\n* keine echten Dateien im Repo\n* Git-Safety OK\n\n## 8. Echte Daten\n\nDu darfst die bestehenden echten Runtime Review Items verwenden, um die UI/Funktionen zu prüfen.\n\nAber:\n\n* keine echten Werte/Mengen im Chat\n* keine echten Dateien ins Repo\n* keine produktiven Positionen\n* keine Ledger-Commits\n* keine Cash-Snapshots\n* keine positions_snapshot-Writes\n* keine echten Reports mit Aktien-/ETF-Zahlen\n\n## 9. Nach Abschluss\n\nBitte ausführen:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nWenn sauber:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nBitte berichten:\n\n* neue/geänderte Module\n* implementierte Review-Aktionen\n* Tests\n* Testergebnis\n* Git-Safety\n* Commit Hash\n* Push Status\n* Review Item Counts nach Status\n* Anzahl ready_for_import je Quelle\n* ob produktive Portfolio-Daten unverändert blieben\n* nächste Empfehlung\n\nWichtig:\nZiel von Phase B4 ist, die Review Queue bedienbar zu machen. 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This phase must still avoid productive ledger, snapshot, holdings, or cash writes unless the user explicitly approves a later import phase.\\n\\n## Sequencing and guardrails\\n\\n1. Start with synthetic DOCX/XLSX fixtures that mimic real source structure.\\n2. Do not commit real broker/bank files, raw rows, quantities, market values, or generated runtime DBs.\\n3. Real files may only be read from runtime/temp for structural dry-runs; report aggregate counts and quality flags only.\\n4. Keep Import Wizard and review actions read-only by default.\\n5. Do not pivot into analytics modules such as Monte Carlo, backtesting, rebalancing, scores, projections, or heatmaps during import hardening.\\n\\n## Parser behavior by source\\n\\n### PostFinance DOCX/table parser\\n\\nExtract candidates from DOCX table rows:\\n\\n- product/name label\\n- quantity-present boolean, not quantity value in chat/docs\\n- currency\\n- market-value-present boolean\\n- account/depot context\\n- snapshot date when recognizable\\n\\nExpected quality flags:\\n\\n- `missing_isin`\\n- `missing_ticker`\\n- `snapshot_only`\\n- `cost_basis_uncertain`\\n- `market_value_legacy`\\n- `needs_manual_review`\\n\\n### True Wealth DOCX/mixed-table parser\\n\\nExtract:\\n\\n- cash rows\\n- position-like rows\\n- portfolio/account context\\n- currency\\n- snapshot date when recognizable\\n\\nExpected quality flags:\\n\\n- `missing_isin`\\n- `missing_ticker`\\n- `snapshot_only`\\n- `cost_basis_uncertain`\\n- `missing_fx` for non-CHF rows without FX\\n- `needs_manual_review`\\n\\n### Raiffeisen XLSX account/control parser\\n\\nExtract:\\n\\n- cash/account rows\\n- aggregate custody/investment rows\\n\\nRules:\\n\\n- Treat Raiffeisen defensively as cash/control snapshot when detailed instrument fields are absent.\\n- Do not create instrument positions from aggregate-only rows.\\n\\nExpected quality flags:\\n\\n- `cash_snapshot_candidate`\\n- `aggregate_only`\\n- `missing_instrument_details`\\n- `needs_manual_review`\\n\\n## Runtime-only review items\\n\\nAdd/maintain `broker_import_review_items` for row-level review data in the runtime DB only.\\n\\nFields:\\n\\n- `review_item_id`\\n- `dry_run_id`\\n- `source_platform`\\n- `source_file_type`\\n- `source_row_ref`\\n- `row_hash`\\n- `source_label`\\n- `normalized_name`\\n- `detected_asset_class`\\n- `detected_currency`\\n- `detected_quantity_present`\\n- `detected_market_value_present`\\n- `isin`\\n- `ticker`\\n- `exchange`\\n- `mapped_instrument_id`\\n- `mapped_account_id`\\n- `quality_flags_json`\\n- `review_status`: open, mapped, ignored, blocked, resolved\\n- `reviewer_note`\\n- timestamps\\n\\nRules:\\n\\n- Review item details are runtime-only and must not be written to Git fixtures/docs when they come from real files.\\n- In chat/reporting, output only aggregate counts and quality flag summaries.\\n- Manual mapping or status changes must require a non-empty note and create an audit-log entry.\\n\\n## Generic dry-run pipeline\\n\\n1. Parse source file.\\n2. Normalize candidates.\\n3. Attempt instrument mapping using existing mapping rules: ISIN primary; ticker+exchange fallback; name-only never auto-maps.\\n4. Attempt account mapping when account context exists.\\n5. Set quality flags.\\n6. Write `broker_import_dry_runs` aggregate summary.\\n7. Write `broker_import_review_items` row-level runtime review records.\\n8. Do not write `positions_snapshot`.\\n9. Do not write transactions, cash ledger, crypto holdings, or productive snapshots.\\n10. Return aggregate output: `rows_total`, `candidate_positions`, `candidate_cash_rows`, `mapped_positions`, `blocked_positions`, `review_items_created`, `warnings_count`, `errors_count`, `quality_flags_summary`.\\n\\n## UI extensions\\n\\nImport Wizard should show parser/dry-run summary, quality flag counts, runtime review items, and a visible link/path to Manual Review Queue. Productive commit buttons remain disabled in read-only mode.\\n\\nManual Review Queue should show review items with source, label, normalized name, asset class, currency, ISIN, ticker, exchange, mapped instrument/account, quality flags, and status. Prepare actions for adding identifiers, confirming mappings, ignoring with note, or resolving, but keep productive position creation disabled.\\n\\nData Quality Center should aggregate open review items by quality flag, including `missing_isin`, `missing_ticker`, `snapshot_only`, `cost_basis_uncertain`, `missing_fx`, `aggregate_only`, plus existing stale/missing price and alert lifecycle checks.\\n\\nGlobal Safe Mode should be visible in the dashboard shell or Command Center: DB mode, write mode, last backup if known, Git-safety status if known, and reminder that real data lives outside Git. Default is read-only.\\n\\n## Test matrix additions\\n\\nAdd tests for:\\n\\n- synthetic PostFinance parser candidate detection and flags\\n- synthetic True Wealth parser candidate detection and flags\\n- synthetic Raiffeisen cash/control and aggregate-only detection\\n- dry-run summary creation\\n- review item creation\\n- no productive positions/ledger writes\\n- name-only rows stay review-gated\\n- Raiffeisen aggregate-only rows are blocked, not instrument positions\\n- Manual Review Queue loads review items\\n- Data Quality Center aggregates review flags\\n- default safe mode is read-only\\n- commit actions remain disabled\\n- audit log on review-item mapping/status change\\n- no real DOCX/XLSX/PDF files in the repo\\n- Git-safety remains OK\\n\", \"file_type\": \".md\"}", "tool_call_id": "call_3l0YT4cw3IkYjjNbuGm7J8Gg" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": 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"call_id": "call_KC0h04ahEoFfWwIjlZdHa96M", "response_item_id": "fc_0c76e56576ffc0fb016a06ed044dc48191a635e1c36fc6f069", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\",\"limit\":300}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import hashlib\\n 4|import json\\n 5|import re\\n 6|import uuid\\n 7|from dataclasses import dataclass\\n 8|from datetime import datetime, timezone\\n 9|from pathlib import Path\\n 10|from sqlite3 import Connection\\n 11|from typing import Any\\n 12|from collections import Counter\\n 13|\\n 14|from jarvis_finance.audit.log import record_audit_event\\n 15|\\n 16|SOURCE_PLATFORMS = {\\\"PostFinance\\\", \\\"True Wealth\\\", \\\"Raiffeisen\\\", \\\"Manuell / Sonstige\\\"}\\n 17|ACCOUNT_TYPES = {\\\"brokerage\\\", \\\"cash\\\", \\\"robo_portfolio\\\", \\\"reserve\\\", \\\"other\\\"}\\n 18|ASSET_CLASSES = {\\\"equity\\\", \\\"etf\\\", \\\"cash\\\", \\\"other\\\"}\\n 19|REVIEW_STATUSES = {\\\"needs_manual_review\\\", \\\"missing_isin\\\", \\\"missing_ticker\\\", \\\"ambiguous\\\"}\\n 20|\\n 21|\\n 22|def utc_now() -> str:\\n 23| return datetime.now(timezone.utc).isoformat()\\n 24|\\n 25|\\n 26|def normalize_name(value: str | None) -> str:\\n 27| text = (value or \\\"\\\").strip().lower()\\n 28| text = re.sub(r\\\"[^a-z0-9äöüéèàç]+\\\", \\\" \\\", text, flags=re.IGNORECASE)\\n 29| return re.sub(r\\\"\\\\s+\\\", \\\" \\\", text).strip()\\n 30|\\n 31|\\n 32|def _json(data: dict[str, Any] | list[Any] | None) -> str:\\n 33| return json.dumps(data or {}, ensure_ascii=False, sort_keys=True)\\n 34|\\n 35|\\n 36|def _hash_label(value: str | bytes | Path) -> str:\\n 37| if isinstance(value, Path):\\n 38| return hashlib.sha256(value.read_bytes()).hexdigest()\\n 39| if isinstance(value, bytes):\\n 40| return hashlib.sha256(value).hexdigest()\\n 41| return hashlib.sha256(str(value).encode(\\\"utf-8\\\")).hexdigest()\\n 42|\\n 43|\\n 44|def _first_matching_instrument(conn: Connection, *, isin: str | None, ticker: str | None, exchange: str | None, currency: str | None) -> str | None:\\n 45| if isin:\\n 46| row = conn.execute(\\\"SELECT instrument_id FROM instruments WHERE upper(isin)=upper(?) AND is_active=1 ORDER BY created_at LIMIT 1\\\", (isin,)).fetchone()\\n 47| if row:\\n 48| return row[\\\"instrument_id\\\"]\\n 49| if ticker and exchange:\\n 50| row = conn.execute(\\n 51| \\\"\\\"\\\"\\n 52| SELECT instrument_id FROM instruments\\n 53| WHERE upper(ticker)=upper(?) AND upper(COALESCE(exchange,''))=upper(?)\\n 54| AND (? IS NULL OR upper(currency)=upper(?)) AND is_active=1\\n 55| ORDER BY created_at LIMIT 1\\n 56| \\\"\\\"\\\",\\n 57| (ticker, exchange, currency, currency),\\n 58| ).fetchone()\\n 59| if row:\\n 60| return row[\\\"instrument_id\\\"]\\n 61| return None\\n 62|\\n 63|\\n 64|def classify_instrument_mapping(\\n 65| conn: Connection,\\n 66| *,\\n 67| asset_class: str,\\n 68| source_label: str,\\n 69| isin: str | None = None,\\n 70| ticker: str | None = None,\\n 71| exchange: str | None = None,\\n 72| currency: str | None = None,\\n 73|) -> tuple[str, str, str | None, list[str]]:\\n 74| flags: list[str] = []\\n 75| asset = asset_class if asset_class in ASSET_CLASSES else \\\"other\\\"\\n 76| instrument_id = _first_matching_instrument(conn, isin=isin, ticker=ticker, exchange=exchange, currency=currency)\\n 77| if asset == \\\"cash\\\":\\n 78| return \\\"mapped\\\", \\\"0.90\\\", instrument_id, flags\\n 79| if asset in {\\\"equity\\\", \\\"etf\\\"}:\\n 80| if isin and instrument_id:\\n 81| return \\\"mapped\\\", \\\"0.98\\\", instrument_id, flags\\n 82| if isin and not instrument_id:\\n 83| flags.append(\\\"needs_manual_review\\\")\\n 84| return \\\"needs_manual_review\\\", \\\"0.60\\\", None, flags\\n 85| flags.append(\\\"missing_isin\\\")\\n 86| if ticker and exchange and instrument_id:\\n 87| flags.append(\\\"ticker_exchange_fallback_requires_review\\\")\\n 88| return \\\"needs_manual_review\\\", \\\"0.75\\\", instrument_id, flags\\n 89| if not ticker:\\n 90| flags.append(\\\"missing_ticker\\\")\\n 91| if source_label and not ticker:\\n 92| flags.append(\\\"name_only_not_auto_mapped\\\")\\n 93| return \\\"needs_manual_review\\\", \\\"0.20\\\", None, flags\\n 94| if not isin and not ticker:\\n 95| flags.append(\\\"name_only_not_auto_mapped\\\")\\n 96| return \\\"needs_manual_review\\\", \\\"0.10\\\", None, flags\\n 97| return \\\"needs_manual_review\\\", \\\"0.40\\\", instrument_id, flags\\n 98|\\n 99|\\n 100|def create_instrument_mapping(\\n 101| conn: Connection,\\n 102| *,\\n 103| source_platform: str,\\n 104| source_label: str,\\n 105| asset_class: str = \\\"other\\\",\\n 106| source_account: str | None = None,\\n 107| isin: str | None = None,\\n 108| ticker: str | None = None,\\n 109| exchange: str | None = None,\\n 110| currency: str | None = None,\\n 111| notes: str | None = None,\\n 112|) -> dict[str, Any]:\\n 113| normalized = normalize_name(source_label)\\n 114| status, confidence, instrument_id, flags = classify_instrument_mapping(\\n 115| conn,\\n 116| asset_class=asset_class,\\n 117| source_label=source_label,\\n 118| isin=isin,\\n 119| ticker=ticker,\\n 120| exchange=exchange,\\n 121| currency=currency,\\n 122| )\\n 123| mapping_id = str(uuid.uuid4())\\n 124| now = utc_now()\\n 125| conn.execute(\\n 126| \\\"\\\"\\\"\\n 127| INSERT INTO instrument_mappings(\\n 128| mapping_id, source_name, source_platform, source_account, source_label, normalized_name,\\n 129| isin, ticker, exchange, currency, asset_class, source_instrument_name,\\n 130| source_isin, source_ticker, source_exchange, source_currency, instrument_id,\\n 131| mapping_status, confidence, quality_flags_json, notes, created_at, updated_at\\n 132| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 133| \\\"\\\"\\\",\\n 134| (\\n 135| mapping_id, source_platform, source_platform, source_account, source_label, normalized,\\n 136| isin, ticker, exchange, currency, asset_class, source_label,\\n 137| isin, ticker, exchange, currency, instrument_id,\\n 138| status, confidence, _json(flags), notes, now, now,\\n 139| ),\\n 140| )\\n 141| return {\\\"mapping_id\\\": mapping_id, \\\"mapping_status\\\": status, \\\"confidence\\\": confidence, \\\"instrument_id\\\": instrument_id, \\\"quality_flags\\\": flags}\\n 142|\\n 143|\\n 144|def confirm_instrument_mapping(\\n 145| conn: Connection,\\n 146| *,\\n 147| mapping_id: str,\\n 148| instrument_id: str,\\n 149| note: str,\\n 150| created_by: str = \\\"manual_review\\\",\\n 151|) -> str:\\n 152| if not note or not note.strip():\\n 153| raise ValueError(\\\"Manual mapping confirmation requires a note\\\")\\n 154| row = conn.execute(\\\"SELECT * FROM instrument_mappings WHERE mapping_id=?\\\", (mapping_id,)).fetchone()\\n 155| if not row:\\n 156| raise ValueError(\\\"instrument mapping not found\\\")\\n 157| old = dict(row)\\n 158| now = utc_now()\\n 159| conn.execute(\\n 160| \\\"UPDATE instrument_mappings SET instrument_id=?, mapping_status='mapped', confidence='1.00', notes=?, updated_at=? WHERE mapping_id=?\\\",\\n 161| (instrument_id, note, now, mapping_id),\\n 162| )\\n 163| audit_id = record_audit_event(\\n 164| conn,\\n 165| source=\\\"manual_review_queue\\\",\\n 166| action=\\\"confirm_instrument_mapping\\\",\\n 167| entity_type=\\\"instrument_mapping\\\",\\n 168| entity_id=mapping_id,\\n 169| old_values={\\\"mapping_status\\\": old.get(\\\"mapping_status\\\"), \\\"instrument_id\\\": old.get(\\\"instrument_id\\\")},\\n 170| new_values={\\\"mapping_status\\\": \\\"mapped\\\", \\\"instrument_id\\\": instrument_id},\\n 171| user_text_note=note,\\n 172| confirmed=True,\\n 173| created_by=created_by,\\n 174| )\\n 175| return audit_id\\n 176|\\n 177|\\n 178|def create_platform_account_mapping(\\n 179| conn: Connection,\\n 180| *,\\n 181| source_platform: str,\\n 182| source_account_label: str,\\n 183| account_type: str = \\\"other\\\",\\n 184| currency: str | None = None,\\n 185| internal_platform_id: str | None = None,\\n 186| internal_account_id: str | None = None,\\n 187| notes: str | None = None,\\n 188|) -> dict[str, Any]:\\n 189| if source_platform not in SOURCE_PLATFORMS:\\n 190| raise ValueError(\\\"unsupported source_platform\\\")\\n 191| acct_type = account_type if account_type in ACCOUNT_TYPES else \\\"other\\\"\\n 192| flags: list[str] = []\\n 193| if source_platform == \\\"Raiffeisen\\\" and acct_type not in {\\\"cash\\\", \\\"reserve\\\", \\\"other\\\"}:\\n 194| flags.append(\\\"raiffeisen_instrument_detail_missing\\\")\\n 195| acct_type = \\\"cash\\\"\\n 196| status = \\\"mapped\\\" if internal_platform_id and internal_account_id else \\\"needs_manual_review\\\"\\n 197| mapping_id = str(uuid.uuid4())\\n 198| now = utc_now()\\n 199| conn.execute(\\n 200| \\\"\\\"\\\"\\n 201| INSERT INTO platform_account_mappings(\\n 202| mapping_id, source_name, source_platform, source_platform_label, source_account_label,\\n 203| normalized_platform, normalized_account_name, source_account_type, account_type,\\n 204| source_currency, currency, platform_id, account_id, internal_platform_id,\\n 205| internal_account_id, mapping_status, quality_flags_json, notes, created_at, updated_at\\n 206| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 207| \\\"\\\"\\\",\\n 208| (\\n 209| mapping_id, source_platform, source_platform, source_platform, source_account_label,\\n 210| normalize_name(source_platform), normalize_name(source_account_label), acct_type, acct_type,\\n 211| currency, currency, internal_platform_id, internal_account_id, internal_platform_id,\\n 212| internal_account_id, status, _json(flags), notes, now, now,\\n 213| ),\\n 214| )\\n 215| return {\\\"mapping_id\\\": mapping_id, \\\"mapping_status\\\": status, \\\"account_type\\\": acct_type, \\\"quality_flags\\\": flags}\\n 216|\\n 217|\\n 218|@dataclass(frozen=True)\\n 219|class DryRunInput:\\n 220| source_platform: str\\n 221| source_file_type: str\\n 222| source_filename: str\\n 223| detected_snapshot_date: str | None = None\\n 224| snapshot_date_status: str = \\\"missing\\\"\\n 225| rows_total: int = 0\\n 226| candidate_positions: int = 0\\n 227| candidate_cash_rows: int = 0\\n 228| mapped_positions: int = 0\\n 229| blocked_positions: int = 0\\n 230| warnings_count: int = 0\\n 231| errors_count: int = 0\\n 232| quality_flags: dict[str, int] | None = None\\n 233| summary: dict[str, Any] | None = None\\n 234| detected_sections: list[str] | None = None\\n 235|\\n 236|\\n 237|def create_broker_import_dry_run(conn: Connection, item: DryRunInput) -> str:\\n 238| dry_run_id = str(uuid.uuid4())\\n 239| now = utc_now()\\n 240| source_hash = _hash_label(item.source_filename)\\n 241| summary = dict(item.summary or {})\\n 242| summary.pop(\\\"rows\\\", None) # explicit guard: no raw rows in persisted summary\\n 243| summary.pop(\\\"values\\\", None)\\n 244| conn.execute(\\n 245| \\\"\\\"\\\"\\n 246| INSERT INTO broker_import_dry_runs(\\n 247| dry_run_id, source_name, source_platform, source_file_label, source_file_type,\\n 248| source_hash, source_filename_hash, detected_snapshot_date, snapshot_date_status,\\n 249| detected_sections_json, field_coverage_json, rows_total, rows_position_candidates,\\n 250| rows_cash_candidates, candidate_positions, candidate_cash_rows, mapped_positions,\\n 251| blocked_positions, warnings_count, errors_count, quality_flags_json, summary_json,\\n 252| created_at, notes\\n 253| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 254| \\\"\\\"\\\",\\n 255| (\\n 256| dry_run_id, item.source_platform, item.source_platform, \\\"[runtime-file-redacted]\\\", item.source_file_type,\\n 257| source_hash, source_hash, item.detected_snapshot_date, item.snapshot_date_status,\\n 258| _json(item.detected_sections or []), _json({}), item.rows_total, item.candidate_positions,\\n 259| item.candidate_cash_rows, item.candidate_positions, item.candidate_cash_rows, item.mapped_positions,\\n 260| item.blocked_positions, item.warnings_count, item.errors_count, _json(item.quality_flags or {}),\\n 261| _json(summary), now, \\\"dry-run summary only; no productive ledger writes\\\",\\n 262| ),\\n 263| )\\n 264| return dry_run_id\\n 265|\\n 266|\\n 267|\\n 268|def _row_hash(item: dict[str, Any]) -> str:\\n 269| return hashlib.sha256(json.dumps(item, ensure_ascii=False, sort_keys=True, default=str).encode(\\\"utf-8\\\")).hexdigest()\\n 270|\\n 271|\\n 272|def create_broker_import_review_item(\\n 273| conn: Connection,\\n 274| *,\\n 275| dry_run_id: str,\\n 276| source_platform: str,\\n 277| source_file_type: str,\\n 278| source_row_ref: str,\\n 279| source_label: str,\\n 280| detected_asset_class: str,\\n 281| detected_currency: str | None = None,\\n 282| detected_quantity_present: bool = False,\\n 283| detected_market_value_present: bool = False,\\n 284| isin: str | None = None,\\n 285| ticker: str | None = None,\\n 286| exchange: str | None = None,\\n 287| mapped_instrument_id: str | None = None,\\n 288| mapped_account_id: str | None = None,\\n 289| quality_flags: list[str] | tuple[str, ...] | None = None,\\n 290| review_status: str = \\\"open\\\",\\n 291|) -> str:\\n 292| review_item_id = str(uuid.uuid4())\\n 293| now = utc_now()\\n 294| normalized = normalize_name(source_label)\\n 295| row_hash = _row_hash({\\n 296| \\\"source_platform\\\": source_platform, \\\"source_row_ref\\\": source_row_ref,\\n 297| \\\"source_label\\\": source_label, \\\"asset_class\\\": detected_asset_class,\\n 298| \\\"currency\\\": detected_currency, \\\"isin\\\": isin, \\\"ticker\\\": ticker, \\\"exchange\\\": exchange,\\n 299| })\\n 300| conn.execute(\\n 301| \\\"\\\"\\\"\\n 302| INSERT INTO broker_import_review_items(\\n 303| review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref,\\n 304| row_hash, source_label, normalized_name, detected_asset_class, detected_currency,\\n 305| detected_quantity_present, detected_market_value_present, isin, ticker, exchange,\\n 306| mapped_instrument_id, mapped_account_id, quality_flags_json, review_status,\\n 307| reviewer_note, created_at, updated_at\\n 308| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 309| \\\"\\\"\\\",\\n 310| (\\n 311| review_item_id, dry_run_id, source_platform, source_file_type, source_row_ref,\\n 312| row_hash, source_label, normalized, detected_asset_class, detected_currency,\\n 313| 1 if detected_quantity_present else 0, 1 if detected_market_value_present else 0,\\n 314| isin, ticker, exchange, mapped_instrument_id, mapped_account_id,\\n 315| _json(list(quality_flags or [])), review_status, None, now, now,\\n 316| ),\\n 317| )\\n 318| return review_item_id\\n 319|\\n 320|\\n 321|def get_broker_review_items(conn: Connection, *, status: str | None = \\\"open\\\", limit: int = 100) -> list[dict[str, str]]:\\n 322| params: list[Any] = []\\n 323| where = \\\"\\\"\\n 324| if status:\\n 325| where = \\\"WHERE review_status=?\\\"\\n 326| params.append(status)\\n 327| params.append(limit)\\n 328| rows = conn.execute(\\n 329| f\\\"\\\"\\\"\\n 330| SELECT review_item_id AS item_id, dry_run_id, source_platform, source_file_type,\\n 331| source_row_ref, source_label, normalized_name, detected_asset_class,\\n 332| detected_currency, detected_quantity_present, detected_market_value_present,\\n 333| isin, ticker, exchange, mapped_instrument_id, mapped_account_id,\\n 334| quality_flags_json, review_status, reviewer_note, created_at\\n 335| FROM broker_import_review_items {where}\\n 336| ORDER BY created_at DESC LIMIT ?\\n 337| \\\"\\\"\\\",\\n 338| tuple(params),\\n 339| ).fetchall()\\n 340| return [{k: \\\"\\\" if row[k] is None else str(row[k]) for k in row.keys()} for row in rows]\\n 341|\\n 342|\\n 343|def aggregate_review_quality_flags(conn: Connection) -> dict[str, int]:\\n 344| flags: Counter[str] = Counter()\\n 345| for row in conn.execute(\\\"SELECT quality_flags_json FROM broker_import_review_items WHERE review_status IN ('open','blocked')\\\").fetchall():\\n 346| try:\\n 347| for flag in json.loads(row[\\\"quality_flags_json\\\"] or \\\"[]\\\"):\\n 348| flags[str(flag)] += 1\\n 349| except json.JSONDecodeError:\\n 350| flags[\\\"invalid_quality_flags\\\"] += 1\\n 351| return dict(flags)\\n 352|\\n 353|\\n 354|def run_broker_import_dry_run(conn: Connection, parsed, *, source_filename: str) -> dict[str, Any]:\\n 355| mapped_positions = 0\\n 356| blocked_positions = 0\\n 357| review_items = 0\\n 358| for candidate in parsed.candidates:\\n 359| if candidate.detected_asset_class == \\\"cash\\\":\\n 360| continue\\n 361| status, _confidence, instrument_id, map_flags = classify_instrument_mapping(\\n 362| conn,\\n 363| asset_class=candidate.detected_asset_class,\\n 364| source_label=candidate.source_label,\\n 365| isin=candidate.isin,\\n 366| ticker=candidate.ticker,\\n 367| exchange=candidate.exchange,\\n 368| currency=candidate.detected_currency,\\n 369| )\\n 370| if status == \\\"mapped\\\" and instrument_id:\\n 371| mapped_positions += 1\\n 372| else:\\n 373| blocked_positions += 1\\n 374| quality_summary = parsed.quality_flags_summary\\n 375| dry_run_id = create_broker_import_dry_run(conn, DryRunInput(\\n 376| source_platform=parsed.source_platform,\\n 377| source_file_type=parsed.source_file_type,\\n 378| source_filename=source_filename,\\n 379| detected_snapshot_date=parsed.detected_snapshot_date,\\n 380| snapshot_date_status=parsed.snapshot_date_status,\\n 381| rows_total=parsed.rows_total,\\n 382| candidate_positions=parsed.candidate_positions,\\n 383| candidate_cash_rows=parsed.candidate_cash_rows,\\n 384| mapped_positions=mapped_positions,\\n 385| blocked_positions=blocked_positions,\\n 386| warnings_count=sum(quality_summary.values()),\\n 387| errors_count=len(parsed.errors),\\n 388| quality_flags=quality_summary,\\n 389| summary={\\n 390| \\\"source_platform\\\": parsed.source_platform,\\n 391| \\\"source_file_type\\\": parsed.source_file_type,\\n 392| \\\"rows_total\\\": parsed.rows_total,\\n 393| \\\"candidate_positions\\\": parsed.candidate_positions,\\n 394| \\\"candidate_cash_rows\\\": parsed.candidate_cash_rows,\\n 395| \\\"mapped_positions\\\": mapped_positions,\\n 396| \\\"blocked_positions\\\": blocked_positions,\\n 397| },\\n 398| detected_sections=list(parsed.detected_sections),\\n 399| ))\\n 400| for candidate in parsed.candidates:\\n 401| mapped_instrument_id = _first_matching_instrument(\\n 402| conn, isin=candidate.isin, ticker=candidate.ticker,\\n 403| exchange=candidate.exchange, currency=candidate.detected_currency,\\n 404| )\\n 405| create_broker_import_review_item(\\n 406| conn,\\n 407| dry_run_id=dry_run_id,\\n 408| source_platform=candidate.source_platform,\\n 409| source_file_type=candidate.source_file_type,\\n 410| source_row_ref=candidate.source_row_ref,\\n 411| source_label=candidate.source_label,\\n 412| detected_asset_class=candidate.detected_asset_class,\\n 413| detected_currency=candidate.detected_currency,\\n 414| detected_quantity_present=candidate.detected_quantity_present,\\n 415| detected_market_value_present=candidate.detected_market_value_present,\\n 416| isin=candidate.isin,\\n 417| ticker=candidate.ticker,\\n 418| exchange=candidate.exchange,\\n 419| mapped_instrument_id=mapped_instrument_id,\\n 420| mapped_account_id=None,\\n 421| quality_flags=candidate.quality_flags,\\n 422| review_status=\\\"blocked\\\" if \\\"aggregate_only\\\" in candidate.quality_flags else \\\"open\\\",\\n 423| )\\n 424| review_items += 1\\n 425| return {\\n 426| \\\"dry_run_id\\\": dry_run_id,\\n 427| \\\"rows_total\\\": parsed.rows_total,\\n 428| \\\"candidate_positions\\\": parsed.candidate_positions,\\n 429| \\\"candidate_cash_rows\\\": parsed.candidate_cash_rows,\\n 430| \\\"mapped_positions\\\": mapped_positions,\\n 431| \\\"blocked_positions\\\": blocked_positions,\\n 432| \\\"review_items_created\\\": review_items,\\n 433| \\\"warnings_count\\\": sum(quality_summary.values()),\\n 434| \\\"errors_count\\\": len(parsed.errors),\\n 435| \\\"quality_flags_summary\\\": quality_summary,\\n 436| }\\n 437|\\n 438|\\n 439|def confirm_review_item_mapping(conn: Connection, *, review_item_id: str, instrument_id: str | None = None, account_id: str | None = None, note: str, created_by: str = \\\"manual_review\\\") -> str:\\n 440| if not note or not note.strip():\\n 441| raise ValueError(\\\"Review item change requires a note\\\")\\n 442| row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n 443| if not row:\\n 444| raise ValueError(\\\"review item not found\\\")\\n 445| now = utc_now()\\n 446| conn.execute(\\n 447| \\\"UPDATE broker_import_review_items SET mapped_instrument_id=COALESCE(?, mapped_instrument_id), mapped_account_id=COALESCE(?, mapped_account_id), review_status='mapped', reviewer_note=?, updated_at=? WHERE review_item_id=?\\\",\\n 448| (instrument_id, account_id, note, now, review_item_id),\\n 449| )\\n 450| return record_audit_event(\\n 451| conn,\\n 452| source=\\\"manual_review_queue\\\",\\n 453| action=\\\"confirm_review_item_mapping\\\",\\n 454| entity_type=\\\"broker_import_review_item\\\",\\n 455| entity_id=review_item_id,\\n 456| old_values={\\\"review_status\\\": row[\\\"review_status\\\"], \\\"mapped_instrument_id\\\": row[\\\"mapped_instrument_id\\\"], \\\"mapped_account_id\\\": row[\\\"mapped_account_id\\\"]},\\n 457| new_values={\\\"review_status\\\": \\\"mapped\\\", \\\"mapped_instrument_id\\\": instrument_id, \\\"mapped_account_id\\\": account_id},\\n 458| user_text_note=note,\\n 459| confirmed=True,\\n 460| created_by=created_by,\\n 461| )\\n 462|\\n 463|def get_manual_review_queue(conn: Connection) -> list[dict[str, str]]:\\n 464| rows: list[dict[str, str]] = []\\n 465| for row in conn.execute(\\n 466| \\\"\\\"\\\"\\n 467| SELECT 'broker_import_review_item' AS item_type, review_item_id AS item_id, source_platform,\\n 468| mapped_account_id AS account_label, source_label AS label, review_status AS mapping_status,\\n 469| quality_flags_json, reviewer_note AS notes, created_at\\n 470| FROM broker_import_review_items\\n 471| WHERE review_status IN ('open','blocked')\\n 472| UNION ALL\\n 473| SELECT 'instrument_mapping' AS item_type, mapping_id AS item_id, source_platform,\\n 474| source_account AS account_label, source_label AS label, mapping_status,\\n 475| quality_flags_json, notes, created_at\\n 476| FROM instrument_mappings\\n 477| WHERE mapping_status IN ('needs_manual_review','missing_isin','missing_ticker','ambiguous')\\n 478| UNION ALL\\n 479| SELECT 'platform_account_mapping' AS item_type, mapping_id AS item_id, source_platform,\\n 480| source_account_label AS account_label, source_account_label AS label, mapping_status,\\n 481| quality_flags_json, notes, created_at\\n 482| FROM platform_account_mappings\\n 483| WHERE mapping_status IN ('needs_manual_review','missing_isin','missing_ticker','ambiguous')\\n 484| ORDER BY created_at DESC\\n 485| \\\"\\\"\\\"\\n 486| ).fetchall():\\n 487| rows.append({k: \\\"\\\" if row[k] is None else str(row[k]) for k in row.keys()})\\n 488| return rows\\n 489|\\n 490|\\n 491|def build_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n 492| last = conn.execute(\\\"SELECT * FROM broker_import_dry_runs ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n 493| pending = len(get_manual_review_queue(conn))\\n 494| return {\\n 495| \\\"mode\\\": \\\"read-only\\\",\\n 496| \\\"productive_import_enabled\\\": \\\"false\\\",\\n 497| \\\"pending_review_items\\\": str(pending),\\n 498| \\\"open_runtime_review_items\\\": str(conn.execute(\\\"SELECT COUNT(*) AS n FROM broker_import_review_items WHERE review_status IN ('open','blocked')\\\").fetchone()[\\\"n\\\"]),\\n 499| \\\"last_dry_run_source\\\": last[\\\"source_platform\\\"] if last else \\\"\\\",\\n 500| \\\"last_dry_run_status\\\": last[\\\"snapshot_date_status\\\"] if last else \\\"none\\\",\\n 501|\", \"total_lines\": 506, \"file_size\": 22003, \"truncated\": true, \"hint\": \"Use offset=501 to continue reading (showing 1-500 of 506 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_ftQnKJtwrWSGyIbXl9j6iuN1" }, { "role": "tool", "name": "read_file", "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 = 5\\n 10|MIGRATION_NAME = \\\"005_broker_import_review_items\\\"\\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| })\\n 209|\\n 210|\\n 211|def _create_broker_import_review_items(conn: Connection) -> None:\\n 212| conn.executescript(\\n 213| \\\"\\\"\\\"\\n 214| CREATE TABLE IF NOT EXISTS broker_import_review_items (\\n 215| review_item_id TEXT PRIMARY KEY,\\n 216| dry_run_id TEXT NOT NULL REFERENCES broker_import_dry_runs(dry_run_id),\\n 217| source_platform TEXT NOT NULL,\\n 218| source_file_type TEXT NOT NULL,\\n 219| source_row_ref TEXT NOT NULL,\\n 220| row_hash TEXT NOT NULL,\\n 221| source_label TEXT,\\n 222| normalized_name TEXT,\\n 223| detected_asset_class TEXT,\\n 224| detected_currency TEXT,\\n 225| detected_quantity_present INTEGER NOT NULL DEFAULT 0,\\n 226| detected_market_value_present INTEGER NOT NULL DEFAULT 0,\\n 227| isin TEXT,\\n 228| ticker TEXT,\\n 229| exchange TEXT,\\n 230| mapped_instrument_id TEXT REFERENCES instruments(instrument_id),\\n 231| mapped_account_id TEXT REFERENCES accounts(account_id),\\n 232| quality_flags_json TEXT NOT NULL,\\n 233| review_status TEXT NOT NULL DEFAULT 'open',\\n 234| reviewer_note TEXT,\\n 235| created_at TEXT NOT NULL,\\n 236| updated_at TEXT\\n 237| );\\n 238| CREATE INDEX IF NOT EXISTS idx_broker_review_items_dry_run ON broker_import_review_items(dry_run_id);\\n 239| CREATE INDEX IF NOT EXISTS idx_broker_review_items_status ON broker_import_review_items(review_status);\\n 240| \\\"\\\"\\\"\\n 241| )\\n 242|\\n 243|def _apply_compat_migrations(conn: Connection) -> None:\\n 244| _add_missing_instrument_columns(conn)\\n 245| for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n 246| _rebuild_table_with_text_columns(conn, table, text_columns)\\n 247| _create_broker_bank_mapping_tables(conn)\\n 248| _create_broker_import_review_items(conn)\\n 249|\\n 250|\\n 251|def apply_migrations(conn: Connection) -> None:\\n 252| conn.executescript(INITIAL_SCHEMA_SQL)\\n 253| existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n 254| if not existing_initial:\\n 255| conn.execute(\\n 256| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 257| (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n 258| )\\n 259| _apply_compat_migrations(conn)\\n 260| existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n 261| if not existing:\\n 262| conn.execute(\\n 263| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 264| (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n 265| )\\n 266| conn.commit()\\n 267|\", \"total_lines\": 266, \"file_size\": 10971, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_oHCL755hEMjHRWthOTR5iukC" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import json\\n 4|from decimal import Decimal, InvalidOperation, ROUND_HALF_UP\\n 5|from pathlib import Path\\n 6|from sqlite3 import Connection\\n 7|\\n 8|from jarvis_finance.config.settings import Settings\\n 9|from jarvis_finance.crypto.holdings import calculate_crypto_holdings\\n 10|from jarvis_finance.ledger.cash import calculate_cash_balances\\n 11|from jarvis_finance.ledger.positions import calculate_positions\\n 12|from jarvis_finance.market.providers import is_price_stale\\n 13|\\n 14|MONEY = Decimal(\\\"0.01\\\")\\n 15|\\n 16|\\n 17|def d(value: object, default: str = \\\"0\\\") -> Decimal:\\n 18| if value is None or str(value).strip() == \\\"\\\":\\n 19| return Decimal(default)\\n 20| try:\\n 21| return Decimal(str(value))\\n 22| except InvalidOperation:\\n 23| return Decimal(default)\\n 24|\\n 25|\\n 26|def dec_text(value: Decimal | int | str | None, places: str | None = None) -> str:\\n 27| if value is None:\\n 28| return \\\"\\\"\\n 29| value = d(value)\\n 30| if places:\\n 31| value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n 32| return format(value, \\\"f\\\")\\n 33|\\n 34|\\n 35|def money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n 36| if value is None:\\n 37| return f\\\"n/a {currency}\\\"\\n 38| return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n 39|\\n 40|\\n 41|def rowdicts(rows) -> list[dict[str, str]]:\\n 42| return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n 43|\\n 44|\\n 45|def db_exists(path: str | Path) -> bool:\\n 46| return Path(path).expanduser().exists()\\n 47|\\n 48|\\n 49|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n 50| try:\\n 51| settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n 52| return False\\n 53| except ValueError:\\n 54| return True\\n 55|\\n 56|\\n 57|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:\\n 58| row = conn.execute(\\n 59| \\\"\\\"\\\"\\n 60| SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider\\n 61| FROM crypto_prices\\n 62| WHERE asset_id=? AND price_currency=?\\n 63| ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1\\n 64| \\\"\\\"\\\",\\n 65| (asset_id, currency.upper()),\\n 66| ).fetchone()\\n 67| if not row:\\n 68| return None\\n 69| item = dict(row)\\n 70| ts = item.get(\\\"provider_timestamp\\\") or item.get(\\\"fetched_at\\\")\\n 71| if item.get(\\\"quality_status\\\") == \\\"fresh\\\" and is_price_stale(ts, max_age_seconds=max_age_seconds):\\n 72| item[\\\"quality_status\\\"] = \\\"stale\\\"\\n 73| return item\\n 74|\\n 75|\\n 76|def get_crypto_overview(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n 77| holdings = calculate_crypto_holdings(conn)\\n 78| rows: list[dict[str, str]] = []\\n 79| for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n 80| qty = holding.quantity\\n 81| asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n 82| if not asset:\\n 83| continue\\n 84| price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n 85| price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n 86| value = qty * price_dec if price_dec is not None else None\\n 87| rows.append({\\n 88| \\\"asset_id\\\": asset_id,\\n 89| \\\"coin_name\\\": asset[\\\"coin_name\\\"],\\n 90| \\\"symbol\\\": asset[\\\"symbol\\\"],\\n 91| \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n 92| \\\"quantity\\\": dec_text(qty),\\n 93| \\\"latest_price_chf\\\": dec_text(price_dec, \\\"0.01\\\") if price_dec is not None else \\\"\\\",\\n 94| \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 95| \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n 96| \\\"fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n 97| })\\n 98| return rows\\n 99|\\n 100|\\n 101|def get_crypto_by_wallet(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n 102| holdings = calculate_crypto_holdings(conn)\\n 103| rows: list[dict[str, str]] = []\\n 104| for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n 105| wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n 106| asset = conn.execute(\\\"SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n 107| price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n 108| price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n 109| value = holding.quantity * price_dec if price_dec is not None else None\\n 110| rows.append({\\n 111| \\\"wallet_id\\\": wallet_id,\\n 112| \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n 113| \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n 114| \\\"provider\\\": wallet[\\\"platform_provider\\\"] if wallet else \\\"\\\",\\n 115| \\\"coin_name\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n 116| \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n 117| \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] if asset else \\\"\\\",\\n 118| \\\"quantity\\\": dec_text(holding.quantity),\\n 119| \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 120| \\\"wallet_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n 121| \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n 122| \\\"price_fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n 123| \\\"verification_status\\\": holding.verification_status,\\n 124| \\\"last_verified_at\\\": holding.last_verified_at or \\\"\\\",\\n 125| })\\n 126| return rows\\n 127|\\n 128|\\n 129|def get_wallets(conn: Connection) -> list[dict[str, str]]:\\n 130| return rowdicts(conn.execute(\\n 131| \\\"\\\"\\\"\\n 132| SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,\\n 133| network_chain, last_verified_at, is_active, notes\\n 134| FROM crypto_wallets ORDER BY wallet_name\\n 135| \\\"\\\"\\\"\\n 136| ).fetchall())\\n 137|\\n 138|\\n 139|def get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n 140| return rowdicts(conn.execute(\\n 141| \\\"\\\"\\\"\\n 142| SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,\\n 143| fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,\\n 144| ct.amount_chf, ct.confirmation_status, ct.source\\n 145| FROM crypto_transactions ct\\n 146| LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id\\n 147| LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id\\n 148| LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id\\n 149| ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?\\n 150| \\\"\\\"\\\", (limit,)\\n 151| ).fetchall())\\n 152|\\n 153|\\n 154|def get_platform_overview(conn: Connection) -> list[dict[str, str]]:\\n 155| return rowdicts(conn.execute(\\n 156| \\\"\\\"\\\"\\n 157| SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,\\n 158| a.performance_included, a.is_active\\n 159| FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n 160| ORDER BY p.name, a.account_name\\n 161| \\\"\\\"\\\"\\n 162| ).fetchall())\\n 163|\\n 164|\\n 165|def get_cash_overview(conn: Connection) -> list[dict[str, str]]:\\n 166| result = calculate_cash_balances(conn)\\n 167| rows: list[dict[str, str]] = []\\n 168| for (account_id, currency), bal in sorted(result.balances.items()):\\n 169| row = conn.execute(\\n 170| \\\"SELECT a.account_name, p.name AS platform FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id WHERE a.account_id=?\\\",\\n 171| (account_id,),\\n 172| ).fetchone()\\n 173| rows.append({\\n 174| \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n 175| \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n 176| \\\"currency\\\": currency,\\n 177| \\\"amount_original\\\": dec_text(bal.amount_original, \\\"0.01\\\"),\\n 178| \\\"amount_chf\\\": dec_text(bal.amount_chf, \\\"0.01\\\") if bal.amount_chf is not None else \\\"\\\",\\n 179| \\\"quality_status\\\": bal.quality_status,\\n 180| })\\n 181| return rows\\n 182|\\n 183|\\n 184|def get_positions(conn: Connection) -> list[dict[str, str]]:\\n 185| result = calculate_positions(conn)\\n 186| rows: list[dict[str, str]] = []\\n 187| for (account_id, instrument_id), pos in sorted(result.positions.items()):\\n 188| row = conn.execute(\\n 189| \\\"\\\"\\\"\\n 190| SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency\\n 191| FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n 192| JOIN instruments i ON i.instrument_id=? WHERE a.account_id=?\\n 193| \\\"\\\"\\\",\\n 194| (instrument_id, account_id),\\n 195| ).fetchone()\\n 196| rows.append({\\n 197| \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n 198| \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n 199| \\\"asset_class\\\": row[\\\"asset_class\\\"] if row else \\\"\\\",\\n 200| \\\"name\\\": row[\\\"name\\\"] if row else instrument_id,\\n 201| \\\"ticker\\\": row[\\\"ticker\\\"] if row else \\\"\\\",\\n 202| \\\"isin\\\": row[\\\"isin\\\"] if row else \\\"\\\",\\n 203| \\\"quantity\\\": dec_text(pos.quantity),\\n 204| \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n 205| \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n 206| \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n 207| \\\"data_quality_status\\\": pos.data_quality_status,\\n 208| })\\n 209| return rows\\n 210|\\n 211|\\n 212|def get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n 213| return rowdicts(conn.execute(\\n 214| \\\"\\\"\\\"\\n 215| SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,\\n 216| i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,\\n 217| t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,\\n 218| t.source_type, t.source_id\\n 219| FROM transactions t\\n 220| LEFT JOIN accounts a ON a.account_id=t.account_id\\n 221| LEFT JOIN platforms p ON p.platform_id=a.platform_id\\n 222| LEFT JOIN instruments i ON i.instrument_id=t.instrument_id\\n 223| ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?\\n 224| \\\"\\\"\\\", (limit,)\\n 225| ).fetchall())\\n 226|\\n 227|\\n 228|def get_watchlist(conn: Connection) -> list[dict[str, str]]:\\n 229| return rowdicts(conn.execute(\\\"SELECT name, asset_class, reason, status, target_entry_price, target_entry_currency, investment_case, bear_case, next_review_date FROM watchlist ORDER BY name\\\").fetchall())\\n 230|\\n 231|\\n 232|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n 233| return rowdicts(conn.execute(\\n 234| \\\"\\\"\\\"\\n 235| SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n 236| occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n 237| FROM alerts\\n 238| ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n 239| \\\"\\\"\\\"\\n 240| ).fetchall())\\n 241|\\n 242|\\n 243|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n 244| rows = conn.execute(\\n 245| \\\"\\\"\\\"\\n 246| SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n 247| confirmed, created_by, quality_status\\n 248| FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n 249| \\\"\\\"\\\", (limit,)\\n 250| ).fetchall()\\n 251| out: list[dict[str, str]] = []\\n 252| for row in rows:\\n 253| item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n 254| for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n 255| if item[key]:\\n 256| try:\\n 257| item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n 258| except json.JSONDecodeError:\\n 259| pass\\n 260| out.append(item)\\n 261| 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| return items\\n 287|\\n 288|\\n 289|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n 290| from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\n 291|\\n 292| return build_import_wizard_summary(conn)\\n 293|\\n 294|\\n 295|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:\\n 296| from jarvis_finance.imports.broker_mapping import get_manual_review_queue\\n 297|\\n 298| return get_manual_review_queue(conn)\\n 299|\\n 300|\\n 301|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n 302| return rowdicts(conn.execute(\\n 303| \\\"\\\"\\\"\\n 304| SELECT source_platform, source_file_type, detected_snapshot_date, snapshot_date_status,\\n 305| rows_total, candidate_positions, candidate_cash_rows, mapped_positions,\\n 306| blocked_positions, warnings_count, errors_count, quality_flags_json, created_at\\n 307| FROM broker_import_dry_runs ORDER BY created_at DESC LIMIT ?\\n 308| \\\"\\\"\\\", (limit,)\\n 309| ).fetchall())\\n 310|\\n 311|\\n 312|def get_safe_mode_status(conn: Connection) -> dict[str, str]:\\n 313| backup = conn.execute(\\\"SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n 314| return {\\n 315| \\\"db_mode\\\": \\\"Runtime\\\",\\n 316| \\\"write_mode\\\": \\\"Read-only\\\",\\n 317| \\\"last_backup_at\\\": backup[\\\"created_at\\\"] if backup else \\\"nicht verfügbar\\\",\\n 318| \\\"git_safety_status\\\": \\\"zuletzt OK / CLI prüfen\\\",\\n 319| \\\"data_location\\\": \\\"Echte Daten liegen außerhalb Git\\\",\\n 320| }\\n 321|\\n 322|\\n 323|def get_broker_review_items(conn: Connection, limit: int = 100) -> list[dict[str, str]]:\\n 324| from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items\\n 325|\\n 326| return _items(conn, status=None, limit=limit)\\n 327|\\n 328|\\n 329|def get_review_quality_flag_counts(conn: Connection) -> list[dict[str, str]]:\\n 330| from jarvis_finance.imports.broker_mapping import aggregate_review_quality_flags\\n 331|\\n 332| return [{\\\"quality_flag\\\": k, \\\"open_items\\\": str(v)} for k, v in sorted(aggregate_review_quality_flags(conn).items())]\\n 333|\\n 334|\\n 335|def get_command_center_summary(conn: Connection) -> dict[str, str]:\\n 336| cash_rows = get_cash_overview(conn)\\n 337| crypto_rows = get_crypto_overview(conn)\\n 338| cash_total = sum(d(r[\\\"amount_chf\\\"]) for r in cash_rows if r[\\\"amount_chf\\\"])\\n 339| crypto_total = sum(d(r[\\\"market_value_chf\\\"]) for r in crypto_rows if r[\\\"market_value_chf\\\"])\\n 340| alert_counts = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n 341| quality = get_data_quality(conn)\\n 342| return {\\n 343| \\\"base_currency\\\": \\\"CHF\\\",\\n 344| \\\"cash_total_chf\\\": dec_text(cash_total, \\\"0.01\\\"),\\n 345| \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n 346| \\\"total_value_chf\\\": dec_text(cash_total + crypto_total, \\\"0.01\\\"),\\n 347| \\\"active_alerts\\\": \\\", \\\".join(f\\\"{r['priority']}: {r['c']}\\\" for r in alert_counts) or \\\"0\\\",\\n 348| \\\"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 349| \\\"crypto_price_data_as_of\\\": max((r[\\\"fetched_at\\\"] for r in crypto_rows if r.get(\\\"fetched_at\\\")), default=\\\"\\\"),\\n 350| }\\n 351|\", \"total_lines\": 350, \"file_size\": 16746, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_J33rdqQXgr4xFNOMYVAqruAE" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import zipfile\\n 4|from pathlib import Path\\n 5|\\n 6|from jarvis_finance.dashboard import data as dashboard_data\\n 7|from jarvis_finance.imports.broker_mapping import assert_write_enabled, confirm_review_item_mapping, get_broker_review_items, run_broker_import_dry_run\\n 8|from jarvis_finance.imports.broker_parsers import parse_postfinance_docx, parse_raiffeisen_xlsx, parse_true_wealth_docx\\n 9|from jarvis_finance.storage.database import connect_memory\\n 10|from jarvis_finance.storage.migrations import apply_migrations, utc_now\\n 11|\\n 12|\\n 13|def _docx(path: Path, rows: list[list[str]]) -> None:\\n 14| def tc(text: str) -> str:\\n 15| return f\\\"{text}\\\"\\n 16| trs = \\\"\\\".join(\\\"\\\" + \\\"\\\".join(tc(c) for c in row) + \\\"\\\" for row in rows)\\n 17| xml = f'''\\n 18|{trs}'''\\n 19| with zipfile.ZipFile(path, \\\"w\\\") as zf:\\n 20| zf.writestr(\\\"[Content_Types].xml\\\", \\\"\\\")\\n 21| zf.writestr(\\\"word/document.xml\\\", xml)\\n 22|\\n 23|\\n 24|def _xlsx(path: Path, rows: list[list[str]]) -> None:\\n 25| shared: list[str] = []\\n 26| index: dict[str, int] = {}\\n 27| sheet_rows = []\\n 28| for r_idx, row in enumerate(rows, start=1):\\n 29| cells = []\\n 30| for c_idx, value in enumerate(row):\\n 31| if value not in index:\\n 32| index[value] = len(shared); shared.append(value)\\n 33| ref = chr(ord('A') + c_idx) + str(r_idx)\\n 34| cells.append(f'{index[value]}')\\n 35| sheet_rows.append(f'' + ''.join(cells) + '')\\n 36| shared_xml = '' + ''.join(f'{s}' for s in shared) + ''\\n 37| sheet_xml = '' + ''.join(sheet_rows) + ''\\n 38| with zipfile.ZipFile(path, \\\"w\\\") as zf:\\n 39| zf.writestr(\\\"xl/sharedStrings.xml\\\", shared_xml)\\n 40| zf.writestr(\\\"xl/worksheets/sheet1.xml\\\", sheet_xml)\\n 41| zf.writestr(\\\"[Content_Types].xml\\\", \\\"\\\")\\n 42|\\n 43|\\n 44|def conn():\\n 45| c = connect_memory()\\n 46| apply_migrations(c)\\n 47| return c\\n 48|\\n 49|\\n 50|def seed_instrument(c):\\n 51| c.execute(\\\"INSERT INTO instruments(instrument_id, asset_class, name, ticker, isin, exchange, currency, created_at) VALUES ('inst-1','etf','Mapped ETF','METF','CH0000000001','SIX','CHF',?)\\\", (utc_now(),))\\n 52|\\n 53|\\n 54|def test_synthetic_postfinance_parser_recognizes_candidates_and_quality_flags(tmp_path: Path) -> None:\\n 55| path = tmp_path / \\\"synthetic_postfinance.docx\\\"\\n 56| _docx(path, [[\\\"Produkt\\\", \\\"Menge\\\", \\\"Währung\\\", \\\"Marktwert\\\", \\\"Stichtag 31.12.2025\\\"], [\\\"Synthetic ETF\\\", \\\"Menge vorhanden\\\", \\\"CHF\\\", \\\"Marktwert vorhanden\\\", \\\"Einstand legacy\\\"], [\\\"Cash Konto\\\", \\\"\\\", \\\"CHF\\\", \\\"\\\", \\\"\\\"]])\\n 57| parsed = parse_postfinance_docx(path)\\n 58| assert parsed.source_platform == \\\"PostFinance\\\"\\n 59| assert parsed.candidate_positions == 1\\n 60| assert parsed.candidate_cash_rows == 1\\n 61| flags = parsed.quality_flags_summary\\n 62| assert flags[\\\"missing_isin\\\"] == 1\\n 63| assert flags[\\\"missing_ticker\\\"] == 1\\n 64| assert flags[\\\"market_value_legacy\\\"] == 1\\n 65|\\n 66|\\n 67|def test_synthetic_true_wealth_parser_recognizes_candidates_and_missing_fx(tmp_path: Path) -> None:\\n 68| path = tmp_path / \\\"synthetic_true_wealth.docx\\\"\\n 69| _docx(path, [[\\\"Position\\\", \\\"Anteile\\\", \\\"Währung\\\", \\\"Wert\\\", \\\"Stichtag 31.12.2025\\\"], [\\\"Global ETF\\\", \\\"Anteile vorhanden\\\", \\\"USD\\\", \\\"Wert vorhanden\\\", \\\"Portfolio\\\"], [\\\"Cash USD\\\", \\\"\\\", \\\"USD\\\", \\\"Wert vorhanden\\\", \\\"\\\"]])\\n 70| parsed = parse_true_wealth_docx(path)\\n 71| assert parsed.candidate_positions == 1\\n 72| assert parsed.candidate_cash_rows == 1\\n 73| assert parsed.quality_flags_summary[\\\"missing_fx\\\"] == 2\\n 74| assert parsed.quality_flags_summary[\\\"cost_basis_uncertain\\\"] == 1\\n 75|\\n 76|\\n 77|def test_synthetic_raiffeisen_parser_recognizes_cash_and_aggregate_control_snapshot(tmp_path: Path) -> None:\\n 78| path = tmp_path / \\\"synthetic_raiffeisen.xlsx\\\"\\n 79| _xlsx(path, [[\\\"Label\\\", \\\"Typ\\\", \\\"Währung\\\", \\\"Saldo\\\", \\\"Datum 31.12.2025\\\"], [\\\"Privatkonto\\\", \\\"Konto\\\", \\\"CHF\\\", \\\"Saldo vorhanden\\\", \\\"\\\"], [\\\"Depot Anlagen gesamt\\\", \\\"Anlage\\\", \\\"CHF\\\", \\\"Wert vorhanden\\\", \\\"\\\"]])\\n 80| parsed = parse_raiffeisen_xlsx(path)\\n 81| assert parsed.candidate_cash_rows == 1\\n 82| assert parsed.candidate_positions == 1\\n 83| assert parsed.quality_flags_summary[\\\"cash_snapshot_candidate\\\"] == 1\\n 84| assert parsed.quality_flags_summary[\\\"aggregate_only\\\"] == 1\\n 85| assert parsed.quality_flags_summary[\\\"missing_instrument_details\\\"] == 1\\n 86|\\n 87|\\n 88|def test_dry_run_pipeline_writes_summary_and_review_items_without_productive_positions(tmp_path: Path) -> None:\\n 89| path = tmp_path / \\\"synthetic_postfinance.docx\\\"\\n 90| _docx(path, [[\\\"Produkt\\\", \\\"Menge\\\", \\\"Währung\\\", \\\"Marktwert\\\"], [\\\"Name Only ETF\\\", \\\"Menge vorhanden\\\", \\\"CHF\\\", \\\"Marktwert vorhanden\\\"], [\\\"Cash Konto\\\", \\\"\\\", \\\"CHF\\\", \\\"\\\"]])\\n 91| c = conn()\\n 92| summary = run_broker_import_dry_run(c, parse_postfinance_docx(path), source_filename=path.name)\\n 93| assert summary[\\\"rows_total\\\"] == 3\\n 94| assert summary[\\\"review_items_created\\\"] == 2\\n 95| assert summary[\\\"blocked_positions\\\"] == 1\\n 96| assert c.execute(\\\"SELECT COUNT(*) AS n FROM broker_import_dry_runs\\\").fetchone()[\\\"n\\\"] == 1\\n 97| assert c.execute(\\\"SELECT COUNT(*) AS n FROM broker_import_review_items\\\").fetchone()[\\\"n\\\"] == 2\\n 98| assert c.execute(\\\"SELECT COUNT(*) AS n FROM positions_snapshot\\\").fetchone()[\\\"n\\\"] == 0\\n 99|\\n 100|\\n 101|def test_name_without_isin_stays_needs_manual_review_via_review_item(tmp_path: Path) -> None:\\n 102| path = tmp_path / \\\"synthetic_postfinance.docx\\\"\\n 103| _docx(path, [[\\\"Produkt\\\", \\\"Menge\\\", \\\"Währung\\\"], [\\\"Name Only ETF\\\", \\\"Menge vorhanden\\\", \\\"CHF\\\"]])\\n 104| c = conn()\\n 105| run_broker_import_dry_run(c, parse_postfinance_docx(path), source_filename=path.name)\\n 106| item = c.execute(\\\"SELECT * FROM broker_import_review_items\\\").fetchone()\\n 107| assert item[\\\"review_status\\\"] == \\\"open\\\"\\n 108| assert \\\"missing_isin\\\" in item[\\\"quality_flags_json\\\"]\\n 109|\\n 110|\\n 111|def test_raiffeisen_aggregate_only_is_blocked_not_productive_position(tmp_path: Path) -> None:\\n 112| path = tmp_path / \\\"synthetic_raiffeisen.xlsx\\\"\\n 113| _xlsx(path, [[\\\"Label\\\", \\\"Typ\\\", \\\"Währung\\\"], [\\\"Depot Anlagen gesamt\\\", \\\"Anlage\\\", \\\"CHF\\\"]])\\n 114| c = conn()\\n 115| run_broker_import_dry_run(c, parse_raiffeisen_xlsx(path), source_filename=path.name)\\n 116| row = c.execute(\\\"SELECT review_status, quality_flags_json FROM broker_import_review_items\\\").fetchone()\\n 117| assert row[\\\"review_status\\\"] == \\\"blocked\\\"\\n 118| assert \\\"aggregate_only\\\" in row[\\\"quality_flags_json\\\"]\\n 119| assert c.execute(\\\"SELECT COUNT(*) AS n FROM positions_snapshot\\\").fetchone()[\\\"n\\\"] == 0\\n 120|\\n 121|\\n 122|def test_manual_review_queue_and_data_quality_aggregate_review_flags(tmp_path: Path) -> None:\\n 123| path = tmp_path / \\\"synthetic_true_wealth.docx\\\"\\n 124| _docx(path, [[\\\"Position\\\", \\\"Währung\\\"], [\\\"Global ETF\\\", \\\"USD\\\"]])\\n 125| c = conn()\\n 126| run_broker_import_dry_run(c, parse_true_wealth_docx(path), source_filename=path.name)\\n 127| assert get_broker_review_items(c)\\n 128| dq = {r[\\\"check\\\"]: r[\\\"count\\\"] for r in dashboard_data.get_data_quality(c)}\\n 129| assert dq[\\\"Review Flag: missing_isin\\\"] == \\\"1\\\"\\n 130| assert dq[\\\"Review Flag: missing_fx\\\"] == \\\"1\\\"\\n 131|\\n 132|\\n 133|def test_data_quality_includes_blocked_aggregate_only_review_flags(tmp_path: Path) -> None:\\n 134| path = tmp_path / \\\"synthetic_raiffeisen.xlsx\\\"\\n 135| _xlsx(path, [[\\\"Label\\\", \\\"Typ\\\", \\\"Währung\\\"], [\\\"Depot Anlagen gesamt\\\", \\\"Anlage\\\", \\\"CHF\\\"]])\\n 136| c = conn()\\n 137| run_broker_import_dry_run(c, parse_raiffeisen_xlsx(path), source_filename=path.name)\\n 138| dq = {r[\\\"check\\\"]: r[\\\"count\\\"] for r in dashboard_data.get_data_quality(c)}\\n 139| assert dq[\\\"Review Flag: aggregate_only\\\"] == \\\"1\\\"\\n 140| assert dq[\\\"Review Flag: missing_instrument_details\\\"] == \\\"1\\\"\\n 141|\\n 142|\\n 143|def test_safe_mode_default_read_only_and_commit_disabled() -> None:\\n 144| c = conn()\\n 145| status = dashboard_data.get_safe_mode_status(c)\\n 146| assert status[\\\"write_mode\\\"] == \\\"Read-only\\\"\\n 147| try:\\n 148| assert_write_enabled(write_enabled=False)\\n 149| except PermissionError:\\n 150| pass\\n 151| else:\\n 152| raise AssertionError(\\\"read-only commit guard did not block\\\")\\n 153|\\n 154|\\n 155|def test_review_item_mapping_confirmation_writes_audit(tmp_path: Path) -> None:\\n 156| path = tmp_path / \\\"synthetic_postfinance.docx\\\"\\n 157| _docx(path, [[\\\"Produkt\\\", \\\"Menge\\\", \\\"Währung\\\"], [\\\"Mapped ETF\\\", \\\"Menge vorhanden\\\", \\\"CHF\\\"]])\\n 158| c = conn(); seed_instrument(c)\\n 159| run_broker_import_dry_run(c, parse_postfinance_docx(path), source_filename=path.name)\\n 160| review_item_id = c.execute(\\\"SELECT review_item_id FROM broker_import_review_items\\\").fetchone()[\\\"review_item_id\\\"]\\n 161| audit_id = confirm_review_item_mapping(c, review_item_id=review_item_id, instrument_id=\\\"inst-1\\\", note=\\\"Synthetic B2 confirmation\\\")\\n 162| assert audit_id\\n 163| assert c.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE entity_id=?\\\", (review_item_id,)).fetchone()[\\\"n\\\"] == 1\\n 164|\\n 165|\\n 166|def test_no_real_broker_files_in_repo() -> None:\\n 167| repo = Path('/home/agent/.hermes/repos/FinanceManager')\\n 168| forbidden = [p for p in repo.rglob('*') if p.suffix.lower() in {'.xlsx', '.docx', '.pdf'} and 'tests' not in p.parts and 'examples' not in p.parts]\\n 169| assert forbidden == []\\n 170|\", \"total_lines\": 169, \"file_size\": 9004, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_KC0h04ahEoFfWwIjlZdHa96M" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu0ONAIRMYRb0B-YsH3oCoYp5WwIo7J1U_vF10y5Dk2aKOACEiTgxX4jbEIKtgFuA9-eSMMmEGYY9vqaVcKBtCjMh59c9-j8hF3oDQTXMF8Cairjhyqq6k0AHa1xvAkDRuEVkrFByAE9VSoerE8yaQUocfd3fqBN1Oc-DdzcKpz0AAVim8bw6FOvGS6tyXMI0I8B3lZEGL6ydLaJ9ApYs8QJ66_oxZEbY2PbFQfPuTt8FarGxTngcAQdiPWB4GXEl7aVrdTRwoV2Sf6n-8lWUb0gaxXcAH0Ra4U3K99517fJ0c8moUHGPSWt0bmoxEUU94EMzCUMc_Mp7ERXwupSW6-6a41_y8f13sHsyfi28tCsb-MMDqez8uGOAyhnQzXTcxPiBRBH_D6hpeZwIbh9QPukJsdyDOlpl3S-pp5Ukr67lPcURI1N3Lip5ygFVIF_X0wQ5JjyVhVdRmm6ZLeWIsJ-xzNg6iyz25wxsRImHHNz8ye2Mfs0RvbvPT2HhgGGBlUFSIS7OMgeeEzCjh9c8_0TTJ1p-c5E2pmJmA0b40gn3j2H9nESDvjV7MgW47o22ZfW890DMn01EI-2Fnbo0IQvNeYgeZqlzDN3oLmUSYAEUVwF0BLoJ09PatSlGhoQ4tdRZL5OrnJpB-bFXb_GCPkLBuIw5qgkp5rlasNkIdt-Hp7S7yq8BPBg2rLC3jRoKxCyXKQZLbPKgjO5nm2zoAPY_HpwhMfh6CeXHtl3G9MVNjYm_4BrQYFVuKFGkX9psqAaok_A2SK3PaYxc1v3U0rC8SfHGHWBJjUcyH414_eLPBXTdVtnYYzl7MQeqGnTrSZeM7mZmMlwc4wq-vWpFMoVllRgmNY_8d5PO_ialJrYcgTLe_y1UBSipk3oEdO2JLef9jk8Wt0dRsajCuvj4znZjhZwDuEWL4cIaikIdMXDbFwdceiU6D4pwbzu1fgoD4I6FCygKPQSYRdDwSor6lLdrA==", "id": "rs_0c76e56576ffc0fb016a06ed0902308191a7b19fd1a5b8e066", "summary": [] } ], "tool_calls": [ { "id": "call_EyjloZ0jDuMo6K7uFLL3UxDI", "call_id": "call_EyjloZ0jDuMo6K7uFLL3UxDI", "response_item_id": "fc_0c76e56576ffc0fb016a06ed0e029481919691a698e6e9f62d", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/audit/log.py\"}" } }, { "id": "call_JiRF7gEtKU7G8VBSNSRBCsDd", "call_id": "call_JiRF7gEtKU7G8VBSNSRBCsDd", "response_item_id": "fc_0c76e56576ffc0fb016a06ed0e02ac81919d22922ebaae5f68", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\"}" } }, { "id": "call_UqhmyYM6hAvAW8L4ck8UElOV", "call_id": "call_UqhmyYM6hAvAW8L4ck8UElOV", "response_item_id": "fc_0c76e56576ffc0fb016a06ed0e02bc81918609d07305f53ef4", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\"}" } }, { "id": "call_M7ysGOinE5s5EUxErztLiNA5", "call_id": "call_M7ysGOinE5s5EUxErztLiNA5", "response_item_id": "fc_0c76e56576ffc0fb016a06ed0e02c88191a171475ebf353095", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|import json\\n 4|import uuid\\n 5|from datetime import datetime, timezone\\n 6|from sqlite3 import Connection\\n 7|from typing import Any\\n 8|\\n 9|\\n 10|def utc_now() -> str:\\n 11| return datetime.now(timezone.utc).isoformat()\\n 12|\\n 13|\\n 14|def record_audit_event(\\n 15| conn: Connection,\\n 16| *,\\n 17| source: str,\\n 18| action: str,\\n 19| entity_type: str,\\n 20| entity_id: str,\\n 21| old_values: dict[str, Any] | None = None,\\n 22| new_values: dict[str, Any] | None = None,\\n 23| user_text_note: str | None = None,\\n 24| confirmed: bool = True,\\n 25| created_by: str = \\\"system\\\",\\n 26|) -> str:\\n 27| audit_id = str(uuid.uuid4())\\n 28| now = utc_now()\\n 29| conn.execute(\\n 30| \\\"\\\"\\\"\\n 31| INSERT INTO audit_log(\\n 32| audit_id, timestamp, source, action, entity_type, entity_id,\\n 33| old_values_json, new_values_json, user_text_note, confirmed,\\n 34| confirmation_timestamp, created_by, created_at\\n 35| ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n 36| \\\"\\\"\\\",\\n 37| (\\n 38| audit_id,\\n 39| now,\\n 40| source,\\n 41| action,\\n 42| entity_type,\\n 43| entity_id,\\n 44| json.dumps(old_values or {}, sort_keys=True),\\n 45| json.dumps(new_values or {}, sort_keys=True),\\n 46| user_text_note,\\n 47| 1 if confirmed else 0,\\n 48| now if confirmed else None,\\n 49| created_by,\\n 50| now,\\n 51| ),\\n 52| )\\n 53| return audit_id\\n 54|\", \"total_lines\": 53, \"file_size\": 1383, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_EyjloZ0jDuMo6K7uFLL3UxDI" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.dashboard import data\\n 4|from jarvis_finance.dashboard.components.tables import show_table\\n 5|\\n 6|PAGE_TITLE = \\\"Manual Review Queue\\\"\\n 7|\\n 8|\\n 9|def render(st, conn) -> None:\\n 10| st.title(\\\"Manual Review Queue\\\")\\n 11| st.caption(\\\"Zeilenbezogene Runtime-Review-Items plus offene Instrument-/Account-Mappings. Keine produktive Positionserstellung in Phase B2.\\\")\\n 12|\\n 13| st.subheader(\\\"Offene Runtime Review Items\\\")\\n 14| show_table(st, data.get_broker_review_items(conn, limit=100))\\n 15|\\n 16| st.subheader(\\\"Mapping-/Account-Probleme\\\")\\n 17| show_table(st, data.get_manual_review_items(conn))\\n 18|\\n 19| st.subheader(\\\"Vorbereitete Aktionen\\\")\\n 20| st.write(\\\"ISIN ergänzen, Ticker ergänzen, Exchange ergänzen, Instrument Mapping bestätigen, Account Mapping bestätigen, Ignore with note, Mark resolved.\\\")\\n 21| st.warning(\\\"Alle Änderungen erfordern Audit-Log. Produktive Positionserstellung bleibt deaktiviert.\\\")\\n 22| st.button(\\\"ISIN/Ticker/Exchange speichern\\\", disabled=True)\\n 23| st.button(\\\"Instrument Mapping bestätigen\\\", disabled=True)\\n 24| st.button(\\\"Account Mapping bestätigen\\\", disabled=True)\\n 25| st.button(\\\"Ignore with note\\\", disabled=True)\\n 26| st.button(\\\"Mark resolved\\\", disabled=True)\\n 27|\", \"total_lines\": 26, \"file_size\": 1206, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_JiRF7gEtKU7G8VBSNSRBCsDd" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.dashboard import data\\n 4|from jarvis_finance.dashboard.components.tables import show_table\\n 5|\\n 6|PAGE_TITLE = \\\"Data Quality Center\\\"\\n 7|\\n 8|\\n 9|def render(st, conn) -> None:\\n 10| st.title(\\\"Data Quality Center\\\")\\n 11| st.caption(\\\"MVP-Übersicht für Alerts, Preise, FX, ISIN, Parser-/Review-Flags und resolved/fixed Alerts.\\\")\\n 12| st.subheader(\\\"Data Quality Checks\\\")\\n 13| show_table(st, data.get_data_quality(conn))\\n 14| st.subheader(\\\"Offene Review Items nach Quality Flag\\\")\\n 15| show_table(st, data.get_review_quality_flag_counts(conn))\\n 16| st.subheader(\\\"Alerts\\\")\\n 17| show_table(st, data.get_alerts(conn))\\n 18| st.subheader(\\\"Sichere Aktionen\\\")\\n 19| st.button(\\\"Data Quality Recheck\\\", disabled=True)\\n 20| st.button(\\\"Resolve Fixed Alerts\\\", disabled=True)\\n 21| st.info(\\\"Produktive Commit-Aktionen bleiben deaktiviert; Recheck/Resolve bleiben kontrolliert über CLI/Bestätigung.\\\")\\n 22|\", \"total_lines\": 21, \"file_size\": 904, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_UqhmyYM6hAvAW8L4ck8UElOV" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.dashboard import data\\n 4|from jarvis_finance.dashboard.components.tables import show_table\\n 5|from jarvis_finance.imports.broker_mapping import assert_write_enabled\\n 6|\\n 7|PAGE_TITLE = \\\"Import Wizard\\\"\\n 8|\\n 9|\\n 10|def render(st, conn) -> None:\\n 11| st.title(\\\"Import Wizard\\\")\\n 12| st.caption(\\\"Phase B2: synthetische Parser-Dry-Runs, Review Items und Quality Flags — kein produktiver Aktien-/ETF-/Cash-Import.\\\")\\n 13|\\n 14| st.info(\\\"Modus: Read-only. Produktive Commit-Aktionen sind standardmäßig deaktiviert.\\\")\\n 15| st.warning(\\\"Echte Broker-/Bankdateien nur Runtime/Temp verarbeiten. Keine Dateien ins Repo kopieren.\\\")\\n 16|\\n 17| source = st.selectbox(\\\"Quelle\\\", [\\\"PostFinance\\\", \\\"True Wealth\\\", \\\"Raiffeisen\\\", \\\"Manuell / Sonstige\\\"])\\n 18| uploaded = st.file_uploader(\\\"Datei auswählen — wird nicht ins Repo geschrieben\\\", type=[\\\"docx\\\", \\\"xlsx\\\", \\\"csv\\\", \\\"pdf\\\"])\\n 19| demo = st.button(\\\"Synthetischen Demo-Dry-Run ausführen\\\", disabled=True)\\n 20| st.write({\\\"source\\\": source, \\\"file_type\\\": getattr(uploaded, \\\"type\\\", \\\"\\\") if uploaded else \\\"\\\", \\\"demo_dry_run_available_in_tests\\\": True, \\\"write_enabled\\\": False})\\n 21|\\n 22| st.subheader(\\\"Parser-Ergebnis / Dry-Run Summary\\\")\\n 23| show_table(st, data.get_broker_dry_runs(conn))\\n 24|\\n 25| st.subheader(\\\"Quality Flags\\\")\\n 26| show_table(st, data.get_review_quality_flag_counts(conn))\\n 27|\\n 28| st.subheader(\\\"Review Items\\\")\\n 29| show_table(st, data.get_broker_review_items(conn, limit=50))\\n 30|\\n 31| st.subheader(\\\"Wizard Status\\\")\\n 32| st.write(data.get_import_wizard_summary(conn))\\n 33| st.page_link(\\\"pages/page_15_manual_review_queue.py\\\", label=\\\"Zur Manual Review Queue\\\") if hasattr(st, \\\"page_link\\\") else st.caption(\\\"Manual Review Queue über Navigation öffnen.\\\")\\n 34|\\n 35| st.subheader(\\\"Commit\\\")\\n 36| try:\\n 37| assert_write_enabled(write_enabled=False)\\n 38| except PermissionError as exc:\\n 39| st.error(str(exc))\\n 40| st.button(\\\"Produktiven Import committen\\\", disabled=True)\\n 41|\", \"total_lines\": 40, \"file_size\": 1895, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_M7ysGOinE5s5EUxErztLiNA5" }, { "role": "assistant", "content": "", "reasoning": "**Planning implementation steps**\n\nI need to focus on implementing the necessary changes by writing targeted functions and tests. I’m considering adding schema columns for readiness status, reviewer confirmation, snapshot date confirmation, ticker exchange confirmation, and dry run status, along with designations like is_current and archived. Since compat _add columns seem sufficient, I might bump the migration version to 6. I need to ensure everything is tested and adjust the execute_code for more complex patches carefully to avoid any syntax errors. Let's get on with patching migrations!", "finish_reason": "tool_calls", "reasoning_content": "**Planning implementation steps**\n\nI need to focus on implementing the necessary changes by writing targeted functions and tests. I’m considering adding schema columns for readiness status, reviewer confirmation, snapshot date confirmation, ticker exchange confirmation, and dry run status, along with designations like is_current and archived. Since compat _add columns seem sufficient, I might bump the migration version to 6. I need to ensure everything is tested and adjust the execute_code for more complex patches carefully to avoid any syntax errors. 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Let's get on with patching migrations!" } ] } ], "tool_calls": [ { "id": "call_e64fXIaIHQbBTXD9w5iEullO", "call_id": "call_e64fXIaIHQbBTXD9w5iEullO", "response_item_id": "fc_0c76e56576ffc0fb016a06ed15166081918c13361592d03cb5", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py')\\ns=p.read_text()\\ns=s.replace('MIGRATION_VERSION = 5\\\\nMIGRATION_NAME = \\\"005_broker_import_review_items\\\"','MIGRATION_VERSION = 6\\\\nMIGRATION_NAME = \\\"006_broker_review_queue_hardening\\\"')\\ns=s.replace('\\\"summary_json\\\": \\\"TEXT DEFAULT \\\\'{}\\\\'\\\",\\\\n })','\\\"summary_json\\\": \\\"TEXT DEFAULT \\\\'{}\\\\'\\\",\\\\n \\\"session_status\\\": \\\"TEXT DEFAULT \\\\'active\\\\'\\\",\\\\n \\\"is_current\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n \\\"archived_at\\\": \\\"TEXT\\\",\\\\n \\\"discarded_at\\\": \\\"TEXT\\\",\\\\n })')\\ns=s.replace(' _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\\\n', ' _add_missing_columns(conn, \\\"broker_import_dry_runs\\\", {\\\\n')\\ns=s.replace(' conn.executescript(\\\\n \\\"\\\"\\\"\\\\n CREATE TABLE IF NOT EXISTS broker_import_review_items (', ' conn.executescript(\\\\n \\\"\\\"\\\"\\\\n CREATE TABLE IF NOT EXISTS broker_import_review_items (')\\n# add new columns via _add_missing_columns after create script block\\nold=''' \\\"\\\"\\\"\\\\n )\\\\n\\\\ndef _apply_compat_migrations(conn: Connection) -> None:'''\\nnew=''' \\\"\\\"\\\"\\\\n )\\\\n _add_missing_columns(conn, \\\"broker_import_review_items\\\", {\\\\n \\\"import_readiness_status\\\": \\\"TEXT DEFAULT 'not_ready'\\\",\\\\n \\\"reviewer_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n \\\"snapshot_date_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n \\\"ticker_exchange_confirmed\\\": \\\"INTEGER DEFAULT 0\\\",\\\\n \\\"account_mapping_status\\\": \\\"TEXT DEFAULT 'missing'\\\",\\\\n })\\\\n\\\\ndef _apply_compat_migrations(conn: Connection) -> None:'''\\nif old not in s:\\n raise SystemExit('anchor not found')\\ns=s.replace(old,new)\\np.write_text(s)\\nprint('migrations patched')\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"migrations patched\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "call_e64fXIaIHQbBTXD9w5iEullO" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": 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\\\"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 _apply_compat_migrations(conn: Connection) -> None:\\n 255| _add_missing_instrument_columns(conn)\\n 256| for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n 257| _rebuild_table_with_text_columns(conn, table, text_columns)\\n 258| _create_broker_bank_mapping_tables(conn)\\n 259| _create_broker_import_review_items(conn)\\n 260|\\n 261|\\n 262|def apply_migrations(conn: Connection) -> None:\\n 263| conn.executescript(INITIAL_SCHEMA_SQL)\\n 264| existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n 265| if not existing_initial:\\n 266| conn.execute(\\n 267| \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n 268| (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n 269| )\\n 270|\", \"total_lines\": 277, \"file_size\": 11489, \"truncated\": true, \"hint\": \"Use offset=270 to continue reading (showing 190-269 of 277 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_LRdQOMVG0l3vt9eJujqTYWyc" }, { "role": "assistant", "content": "", "reasoning": "**Planning function creation**\n\nI need to create some functions, starting with an easy append in the broker mapping. Then, I have to develop an update function that includes audit capabilities, filters, and readiness checks. I might also need to incorporate accounts and instruments, so I'll inspect the schema to ensure I have all the necessary fields for accounts and instruments. That way, everything aligns well and works smoothly. Let's get this organized!", "finish_reason": "tool_calls", "reasoning_content": "**Planning function creation**\n\nI need to create some functions, starting with an easy append in the broker mapping. Then, I have to develop an update function that includes audit capabilities, filters, and readiness checks. I might also need to incorporate accounts and instruments, so I'll inspect the schema to ensure I have all the necessary fields for accounts and instruments. That way, everything aligns well and works smoothly. 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[truncated]\\n 2|\\n 3|REQUIRED_TABLES = [\\n 4| \\\"schema_migrations\\\", \\\"platforms\\\", \\\"accounts\\\", \\\"instruments\\\", \\\"transactions\\\",\\n 5| \\\"positions_snapshot\\\", \\\"cash_balances\\\", \\\"fx_rates\\\", \\\"market_prices\\\",\\n 6| \\\"crypto_wallets\\\", \\\"crypto_assets\\\", \\\"crypto_holdings\\\", \\\"crypto_transactions\\\",\\n 7| \\\"crypto_prices\\\", \\\"watchlist\\\", \\\"reports\\\", \\\"alerts\\\", \\\"audit_log\\\",\\n 8| \\\"import_sessions\\\", \\\"decision_journal\\\", \\\"instrument_mappings\\\",\\n 9| \\\"platform_account_mappings\\\", \\\"broker_import_dry_runs\\\",\\n 10|]\\n 11|\", \"total_lines\": 10, \"file_size\": 12653, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_nUjoD5sVbC7sfpVm4aHTQhIf" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": 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"id": "rs_0c76e56576ffc0fb016a06ed31fdfc81919490cc240eaa5643", "summary": [] } ], "tool_calls": [ { "id": "call_i7sbtpMq5IVN9h8P37iEfeov", "call_id": "call_i7sbtpMq5IVN9h8P37iEfeov", "response_item_id": "fc_0c76e56576ffc0fb016a06ed3539b4819181a1a7d1eb638a72", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/tmp/b4_append.py\",\"content\":\"\\n\\ndef _load_flags(row: Any) -> list[str]:\\n try:\\n return [str(x) for x in json.loads(row[\\\"quality_flags_json\\\"] or \\\"[]\\\")]\\n except Exception:\\n return []\\n\\n\\ndef _store_flags(flags: list[str]) -> str:\\n return _json(sorted({f for f in flags if f}))\\n\\n\\ndef _without_flags(flags: list[str], remove: set[str]) -> list[str]:\\n return [f for f in flags if f not in remove]\\n\\n\\ndef _require_note(note: str | None, message: str = \\\"Review metadata change requires a note\\\") -> str:\\n if not note or not note.strip():\\n raise ValueError(message)\\n return note.strip()\\n\\n\\ndef validate_isin(value: str) -> str:\\n isin = (value or \\\"\\\").strip().upper().replace(\\\" \\\", \\\"\\\")\\n if not re.fullmatch(r\\\"[A-Z]{2}[A-Z0-9]{9}[0-9]\\\", isin):\\n raise ValueError(\\\"Invalid ISIN format\\\")\\n return isin\\n\\n\\ndef calculate_review_item_readiness(row: Any) -> str:\\n status = str(row[\\\"review_status\\\"] or \\\"open\\\")\\n if status == \\\"ignored\\\":\\n return \\\"ignored\\\"\\n flags = set(_load_flags(row))\\n asset_class = str(row[\\\"detected_asset_class\\\"] or \\\"other\\\")\\n if status == \\\"blocked\\\" or \\\"aggregate_only\\\" in flags or \\\"missing_instrument_details\\\" in flags:\\n return \\\"blocked\\\"\\n if asset_class in {\\\"equity\\\", \\\"etf\\\"}:\\n has_identifier = bool(row[\\\"isin\\\"]) or (bool(row[\\\"ticker\\\"]) and bool(row[\\\"exchange\\\"]) and int(row[\\\"ticker_exchange_confirmed\\\"] or 0) == 1)\\n required = [\\n bool(row[\\\"source_platform\\\"]),\\n bool(row[\\\"mapped_account_id\\\"]),\\n asset_class in {\\\"equity\\\", \\\"etf\\\"},\\n has_identifier,\\n bool(row[\\\"detected_currency\\\"]),\\n (int(row[\\\"snapshot_date_confirmed\\\"] or 0) == 1),\\n (int(row[\\\"detected_quantity_present\\\"] or 0) == 1),\\n int(row[\\\"reviewer_confirmed\\\"] or 0) == 1,\\n ]\\n blocking_flags = {\\\"missing_isin\\\", \\\"missing_ticker\\\", \\\"aggregate_only\\\", \\\"missing_instrument_details\\\", \\\"missing_fx\\\"}\\n if all(required) and not (flags & blocking_flags):\\n return \\\"ready_for_import\\\"\\n return \\\"review_needed\\\" if has_identifier or bool(row[\\\"mapped_account_id\\\"]) else \\\"not_ready\\\"\\n if asset_class == \\\"cash\\\":\\n required = [bool(row[\\\"mapped_account_id\\\"]), bool(row[\\\"detected_currency\\\"]), int(row[\\\"snapshot_date_confirmed\\\"] or 0) == 1, int(row[\\\"detected_market_value_present\\\"] or 0) == 1, int(row[\\\"reviewer_confirmed\\\"] or 0) == 1]\\n return \\\"ready_for_import\\\" if all(required) else \\\"review_needed\\\"\\n return \\\"not_ready\\\"\\n\\n\\ndef refresh_review_item_readiness(conn: Connection, review_item_id: str) -> str:\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row:\\n raise ValueError(\\\"review item not found\\\")\\n readiness = calculate_review_item_readiness(row)\\n conn.execute(\\\"UPDATE broker_import_review_items SET import_readiness_status=?, account_mapping_status=CASE WHEN mapped_account_id IS NULL OR mapped_account_id='' THEN 'missing' ELSE 'mapped' END, updated_at=? WHERE review_item_id=?\\\", (readiness, utc_now(), review_item_id))\\n return readiness\\n\\n\\ndef _audit_review_change(conn: Connection, *, review_item_id: str, action: str, old: dict[str, Any], new: dict[str, Any], note: str, created_by: str = \\\"manual_review\\\") -> str:\\n return record_audit_event(conn, source=\\\"manual_review_queue\\\", action=action, entity_type=\\\"broker_import_review_item\\\", entity_id=review_item_id, old_values=old, new_values=new, user_text_note=note, confirmed=True, created_by=created_by)\\n\\n\\ndef update_review_item_isin(conn: Connection, *, review_item_id: str, isin: str, note: str, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note)\\n isin = validate_isin(isin)\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n flags = _without_flags(_load_flags(row), {\\\"missing_isin\\\", \\\"name_only_not_auto_mapped\\\"})\\n conn.execute(\\\"UPDATE broker_import_review_items SET isin=?, quality_flags_json=?, reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", (isin, _store_flags(flags), note, utc_now(), review_item_id))\\n readiness = refresh_review_item_readiness(conn, review_item_id)\\n return _audit_review_change(conn, review_item_id=review_item_id, action=\\\"update_isin\\\", old={\\\"isin\\\": row[\\\"isin\\\"], \\\"quality_flags\\\": _load_flags(row)}, new={\\\"isin\\\": isin, \\\"quality_flags\\\": flags, \\\"readiness\\\": readiness}, note=note, created_by=created_by)\\n\\n\\ndef update_review_item_ticker_exchange(conn: Connection, *, review_item_id: str, ticker: str | None = None, exchange: str | None = None, note: str, confirm_ticker_exchange: bool = False, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note)\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n new_ticker = (ticker or row[\\\"ticker\\\"] or \\\"\\\").strip().upper() or None\\n new_exchange = (exchange or row[\\\"exchange\\\"] or \\\"\\\").strip().upper() or None\\n flags = _load_flags(row)\\n if new_ticker:\\n flags = _without_flags(flags, {\\\"missing_ticker\\\"})\\n if new_ticker and not new_exchange and \\\"ticker_without_exchange\\\" not in flags:\\n flags.append(\\\"ticker_without_exchange\\\")\\n if new_ticker and new_exchange:\\n flags = _without_flags(flags, {\\\"ticker_without_exchange\\\"})\\n confirmed = 1 if (confirm_ticker_exchange and new_ticker and new_exchange) else int(row[\\\"ticker_exchange_confirmed\\\"] or 0)\\n conn.execute(\\\"UPDATE broker_import_review_items SET ticker=?, exchange=?, ticker_exchange_confirmed=?, quality_flags_json=?, reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", (new_ticker, new_exchange, confirmed, _store_flags(flags), note, utc_now(), review_item_id))\\n readiness = refresh_review_item_readiness(conn, review_item_id)\\n return _audit_review_change(conn, review_item_id=review_item_id, action=\\\"update_ticker_exchange\\\", old={\\\"ticker\\\": row[\\\"ticker\\\"], \\\"exchange\\\": row[\\\"exchange\\\"]}, new={\\\"ticker\\\": new_ticker, \\\"exchange\\\": new_exchange, \\\"ticker_exchange_confirmed\\\": confirmed, \\\"readiness\\\": readiness}, note=note, created_by=created_by)\\n\\n\\ndef confirm_review_item_instrument_mapping(conn: Connection, *, review_item_id: str, instrument_id: str | None = None, note: str, confirm_ticker_exchange: bool = False, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note)\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n if not row[\\\"isin\\\"] and not (row[\\\"ticker\\\"] and row[\\\"exchange\\\"] and confirm_ticker_exchange):\\n raise ValueError(\\\"Name-only rows cannot be marked as mapped\\\")\\n if not instrument_id:\\n instrument_id = _first_matching_instrument(conn, isin=row[\\\"isin\\\"], ticker=row[\\\"ticker\\\"], exchange=row[\\\"exchange\\\"], currency=row[\\\"detected_currency\\\"])\\n if not instrument_id:\\n raise ValueError(\\\"instrument_id required when no existing instrument matches\\\")\\n flags = _without_flags(_load_flags(row), {\\\"missing_isin\\\", \\\"missing_ticker\\\", \\\"ticker_without_exchange\\\", \\\"name_only_not_auto_mapped\\\"})\\n conn.execute(\\\"UPDATE broker_import_review_items SET mapped_instrument_id=?, review_status='mapped', ticker_exchange_confirmed=?, reviewer_confirmed=1, quality_flags_json=?, reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", (instrument_id, 1 if confirm_ticker_exchange else int(row[\\\"ticker_exchange_confirmed\\\"] or 0), _store_flags(flags), note, utc_now(), review_item_id))\\n readiness = refresh_review_item_readiness(conn, review_item_id)\\n return _audit_review_change(conn, review_item_id=review_item_id, action=\\\"confirm_instrument_mapping\\\", old={\\\"review_status\\\": row[\\\"review_status\\\"], \\\"mapped_instrument_id\\\": row[\\\"mapped_instrument_id\\\"]}, new={\\\"review_status\\\": \\\"mapped\\\", \\\"mapped_instrument_id\\\": instrument_id, \\\"readiness\\\": readiness}, note=note, created_by=created_by)\\n\\n\\ndef confirm_review_item_account_mapping(conn: Connection, *, review_item_id: str, account_id: str, note: str, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note)\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n acct = conn.execute(\\\"SELECT account_id, account_type FROM accounts WHERE account_id=? AND is_active=1\\\", (account_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n if not acct: raise ValueError(\\\"account not found\\\")\\n if row[\\\"detected_asset_class\\\"] == \\\"cash\\\" and acct[\\\"account_type\\\"] not in {\\\"cash\\\", \\\"reserve\\\", \\\"other\\\"}:\\n raise ValueError(\\\"cash review items must map to cash/reserve/other accounts\\\")\\n if row[\\\"detected_asset_class\\\"] in {\\\"equity\\\", \\\"etf\\\"} and acct[\\\"account_type\\\"] == \\\"cash\\\":\\n raise ValueError(\\\"brokerage review items must not map to cash-only accounts\\\")\\n conn.execute(\\\"UPDATE broker_import_review_items SET mapped_account_id=?, account_mapping_status='mapped', reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", (account_id, note, utc_now(), review_item_id))\\n readiness = refresh_review_item_readiness(conn, review_item_id)\\n return _audit_review_change(conn, review_item_id=review_item_id, action=\\\"confirm_account_mapping\\\", old={\\\"mapped_account_id\\\": row[\\\"mapped_account_id\\\"]}, new={\\\"mapped_account_id\\\": account_id, \\\"readiness\\\": readiness}, note=note, created_by=created_by)\\n\\n\\ndef confirm_review_item_snapshot_date(conn: Connection, *, review_item_id: str, note: str, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note)\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n conn.execute(\\\"UPDATE broker_import_review_items SET snapshot_date_confirmed=1, reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", (note, utc_now(), review_item_id))\\n readiness = refresh_review_item_readiness(conn, review_item_id)\\n return _audit_review_change(conn, review_item_id=review_item_id, action=\\\"confirm_snapshot_date\\\", old={\\\"snapshot_date_confirmed\\\": row[\\\"snapshot_date_confirmed\\\"]}, new={\\\"snapshot_date_confirmed\\\": 1, \\\"readiness\\\": readiness}, note=note, created_by=created_by)\\n\\n\\ndef ignore_review_item(conn: Connection, *, review_item_id: str, note: str, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note, \\\"Ignore requires a note\\\")\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n conn.execute(\\\"UPDATE broker_import_review_items SET review_status='ignored', import_readiness_status='ignored', reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", (note, utc_now(), review_item_id))\\n return _audit_review_change(conn, review_item_id=review_item_id, action=\\\"ignore_review_item\\\", old={\\\"review_status\\\": row[\\\"review_status\\\"]}, new={\\\"review_status\\\": \\\"ignored\\\", \\\"readiness\\\": \\\"ignored\\\"}, note=note, created_by=created_by)\\n\\n\\ndef mark_review_item_resolved(conn: Connection, *, review_item_id: str, note: str, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note)\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n readiness = calculate_review_item_readiness(row)\\n if readiness not in {\\\"ready_for_import\\\", \\\"ignored\\\"}:\\n raise ValueError(\\\"Review item cannot be resolved until mandatory issues are solved\\\")\\n conn.execute(\\\"UPDATE broker_import_review_items SET review_status='resolved', import_readiness_status=?, reviewer_note=?, updated_at=? WHERE review_item_id=?\\\", (readiness, note, utc_now(), review_item_id))\\n return _audit_review_change(conn, review_item_id=review_item_id, action=\\\"mark_resolved\\\", old={\\\"review_status\\\": row[\\\"review_status\\\"]}, new={\\\"review_status\\\": \\\"resolved\\\", \\\"readiness\\\": readiness}, note=note, created_by=created_by)\\n\\n\\ndef get_broker_review_items(conn: Connection, *, status: str | None = None, source_platform: str | None = None, dry_run_id: str | None = None, quality_flag: str | None = None, asset_class: str | None = None, currency: str | None = None, account_mapping_status: str | None = None, readiness_status: str | None = None, limit: int = 100) -> list[dict[str, str]]:\\n clauses=[]; params=[]\\n for col,val in [(\\\"review_status\\\",status),(\\\"source_platform\\\",source_platform),(\\\"dry_run_id\\\",dry_run_id),(\\\"detected_asset_class\\\",asset_class),(\\\"detected_currency\\\",currency),(\\\"account_mapping_status\\\",account_mapping_status),(\\\"import_readiness_status\\\",readiness_status)]:\\n if val:\\n clauses.append(f\\\"{col}=?\\\"); params.append(val)\\n if quality_flag:\\n clauses.append(\\\"quality_flags_json LIKE ?\\\"); params.append(f'%\\\"{quality_flag}\\\"%')\\n where = \\\"WHERE \\\" + \\\" AND \\\".join(clauses) if clauses else \\\"\\\"\\n params.append(limit)\\n rows = conn.execute(f\\\"\\\"\\\"\\n SELECT review_item_id AS item_id, dry_run_id, source_platform, source_file_type,\\n source_row_ref, source_label, normalized_name, detected_asset_class,\\n detected_currency, detected_quantity_present, detected_market_value_present,\\n isin, ticker, exchange, mapped_instrument_id, mapped_account_id,\\n account_mapping_status, quality_flags_json, review_status, import_readiness_status,\\n reviewer_confirmed, snapshot_date_confirmed, ticker_exchange_confirmed,\\n reviewer_note, created_at, updated_at\\n FROM broker_import_review_items {where}\\n ORDER BY created_at DESC LIMIT ?\\n \\\"\\\"\\\", tuple(params)).fetchall()\\n return [{k: \\\"\\\" if row[k] is None else str(row[k]) for k in row.keys()} for row in rows]\\n\\n\\ndef get_review_item_detail(conn: Connection, review_item_id: str) -> dict[str, Any]:\\n row = conn.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (review_item_id,)).fetchone()\\n if not row: raise ValueError(\\\"review item not found\\\")\\n audit = conn.execute(\\\"SELECT timestamp, action, entity_type, entity_id, user_text_note, created_by FROM audit_log WHERE entity_id=? ORDER BY timestamp DESC\\\", (review_item_id,)).fetchall()\\n return {\\\"item\\\": {k: \\\"\\\" if row[k] is None else str(row[k]) for k in row.keys()}, \\\"audit_history\\\": [{k: \\\"\\\" if a[k] is None else str(a[k]) for k in a.keys()} for a in audit]}\\n\\n\\ndef get_dry_run_sessions(conn: Connection, *, limit: int = 50) -> list[dict[str, str]]:\\n rows = conn.execute(\\\"\\\"\\\"\\n SELECT d.dry_run_id, d.source_platform, d.source_file_type, d.created_at, d.snapshot_date_status,\\n d.rows_total, d.candidate_positions, d.candidate_cash_rows, d.warnings_count, d.errors_count,\\n COALESCE(d.session_status,'active') AS session_status, COALESCE(d.is_current,0) AS is_current,\\n SUM(CASE WHEN r.review_item_id IS NOT NULL THEN 1 ELSE 0 END) AS review_items,\\n SUM(CASE WHEN r.import_readiness_status='ready_for_import' THEN 1 ELSE 0 END) AS ready_for_import,\\n SUM(CASE WHEN r.review_status='blocked' OR r.import_readiness_status='blocked' THEN 1 ELSE 0 END) AS blocked,\\n SUM(CASE WHEN r.review_status='ignored' THEN 1 ELSE 0 END) AS ignored,\\n SUM(CASE WHEN r.review_status='open' THEN 1 ELSE 0 END) AS open\\n FROM broker_import_dry_runs d\\n LEFT JOIN broker_import_review_items r ON r.dry_run_id=d.dry_run_id\\n GROUP BY d.dry_run_id\\n ORDER BY d.created_at DESC LIMIT ?\\n \\\"\\\"\\\", (limit,)).fetchall()\\n return [{k: \\\"\\\" if row[k] is None else str(row[k]) for k in row.keys()} for row in rows]\\n\\n\\ndef update_dry_run_session_status(conn: Connection, *, dry_run_id: str, action: str, note: str, created_by: str = \\\"manual_review\\\") -> str:\\n note = _require_note(note)\\n row = conn.execute(\\\"SELECT * FROM broker_import_dry_runs WHERE dry_run_id=?\\\", (dry_run_id,)).fetchone()\\n if not row: raise ValueError(\\\"dry run not found\\\")\\n now=utc_now()\\n if action == \\\"archive\\\":\\n conn.execute(\\\"UPDATE broker_import_dry_runs SET session_status='archived', is_current=0, archived_at=?, notes=? WHERE dry_run_id=?\\\", (now, note, dry_run_id))\\n new={\\\"session_status\\\":\\\"archived\\\"}\\n elif action == \\\"discard\\\":\\n conn.execute(\\\"UPDATE broker_import_dry_runs SET session_status='discarded', is_current=0, discarded_at=?, notes=? WHERE dry_run_id=?\\\", (now, note, dry_run_id))\\n new={\\\"session_status\\\":\\\"discarded\\\"}\\n elif action == \\\"mark_current\\\":\\n conn.execute(\\\"UPDATE broker_import_dry_runs SET is_current=0 WHERE source_platform=?\\\", (row[\\\"source_platform\\\"],))\\n conn.execute(\\\"UPDATE broker_import_dry_runs SET session_status='active', is_current=1, notes=? WHERE dry_run_id=?\\\", (note, dry_run_id))\\n new={\\\"session_status\\\":\\\"active\\\",\\\"is_current\\\":1}\\n else:\\n raise ValueError(\\\"unsupported dry run session action\\\")\\n return record_audit_event(conn, source=\\\"manual_review_queue\\\", action=f\\\"dry_run_{action}\\\", entity_type=\\\"broker_import_dry_run\\\", entity_id=dry_run_id, old_values={\\\"session_status\\\": row[\\\"session_status\\\"] if \\\"session_status\\\" in row.keys() else \\\"active\\\", \\\"is_current\\\": row[\\\"is_current\\\"] if \\\"is_current\\\" in row.keys() else 0}, new_values=new, user_text_note=note, confirmed=True, created_by=created_by)\\n\\n\\ndef get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:\\n rows=conn.execute(\\\"SELECT import_readiness_status AS readiness_status, COUNT(*) AS count FROM broker_import_review_items GROUP BY import_readiness_status ORDER BY import_readiness_status\\\").fetchall()\\n return [{\\\"readiness_status\\\": row[\\\"readiness_status\\\"] or \\\"not_ready\\\", \\\"count\\\": str(row[\\\"count\\\"])} for row in rows]\\n\\n\\ndef get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:\\n rows=conn.execute(\\\"SELECT source_platform, SUM(CASE WHEN import_readiness_status='ready_for_import' THEN 1 ELSE 0 END) AS ready_for_import, COUNT(*) AS total FROM broker_import_review_items GROUP BY source_platform ORDER BY source_platform\\\").fetchall()\\n return [{\\\"source_platform\\\": row[\\\"source_platform\\\"], \\\"ready_for_import\\\": str(row[\\\"ready_for_import\\\"] or 0), \\\"total\\\": str(row[\\\"total\\\"])} for row in rows]\\n\\n\\ndef assert_productive_import_disabled() -> bool:\\n return True\\n\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 18361, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_i7sbtpMq5IVN9h8P37iEfeov" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_6EnlCaRrdBrrM1ByTRz1zC68", "call_id": "call_6EnlCaRrdBrrM1ByTRz1zC68", "response_item_id": "fc_0c76e56576ffc0fb016a06ed9008e88191a088396250609420", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ncat /tmp/b4_append.py >> src/jarvis_finance/imports/broker_mapping.py\\nPYTHONPATH=src python -m py_compile src/jarvis_finance/imports/broker_mapping.py src/jarvis_finance/storage/migrations.py\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_6EnlCaRrdBrrM1ByTRz1zC68" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu2WDXo7IohpTsvift6TE_uTVM5ulvrS_5NtelB_HZh0aCRLDKlDqNXTS445k_wLuj6oAdLSCqpEoyLxsjG5yDt7Gng07XlksB-nugJhe_YgNDON3fSdH1bymJCpyWKslzf7wzeF7tyG35EWEgkIuQMMAsMgQtcJyy7ZJjvagliuNMCxsNnVfgpkyM85T1grXYsz-vs1d6fpeLYySqtYJsafQvC7X7VT-xwwDh_kJnksPauu5E2P662fl3p2Rssrk5tzBtQXSeY9LAYOOFrJ5Is7R8eksUkaFd59Cto3GBLhXK9AwP2wzAOTJpD-QFEzbC7Jfz9KgzPOxhEMpzfTJ77mkhBT13nnq_4JO4CVZpkE6sGjFt70hPR_CCUILPUwQnqXkhy42E36Esfs6PDNxOle1yxXd1qPumTt60ryQYvVgVywrDWh1CwGAK1TIC9GNtkvZkcMUDu_E8ayZvY4T1c45fZLs3FandRo5IOSDJrjt_Wx82A-0e7_0hGdv3B4Sm5qwg4EN3ahm05Ok6n3dzA26pXjmUeSYIFuAQOGBt1-_BLZoi8YU55px0FDrzfs_qESqrVvrp4zyW_ftXH-y3y-1mIHxG73wAFfWKiYYI5MMTH20saWt9crSixnlI6F993mo_EUzdALn7qPsYLYl1DTioD_M9O59-B6Ep2uexAjUyNGICrLnfz_oca7AskdNPZmaxLiEUyAOipeT9ofJnRCvBPYWCQin47sausVS7MjOjLKpmt4VR1OV4MGSnULF-N1laCLbzc7KQnJKVd6-T-arEV3YDYhfY4czTBM8NmKkhadLE3kJbDl08-f86Reh5u8IAX4wQPqpfapmm10kxnO6IBdqOIw5VDn0I3SxZ2wmYd_Hux_VDSHfD5_Syu87ByLT2GHo8nzJt0Xlwlx20F_ktAFwCUzBMEYkzZ0mqnui5OO_XNqJRqUu9wfIUU60QiYidrlfyMKvclN_RiEuaT_og9Qo7dr75FBFzV7MVi0p-Y=", "id": "rs_0c76e56576ffc0fb016a06ed94c74881918ea5b1cf8a4eec68", "summary": [] } ], "tool_calls": [ { "id": "call_iDODoDDEFijJAIFyzoamrR7P", "call_id": "call_iDODoDDEFijJAIFyzoamrR7P", "response_item_id": "fc_0c76e56576ffc0fb016a06ed95fffc8191bbb8326719ad367d", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py')\\ns=p.read_text()\\ns=s.replace('def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\\\n return rowdicts(conn.execute(\\\\n \\\"\\\"\\\"\\\\n SELECT source_platform, source_file_type, detected_snapshot_date, snapshot_date_status,\\\\n rows_total, candidate_positions, candidate_cash_rows, mapped_positions,\\\\n blocked_positions, warnings_count, errors_count, quality_flags_json, created_at\\\\n FROM broker_import_dry_runs ORDER BY created_at DESC LIMIT ?\\\\n \\\"\\\"\\\", (limit,)\\\\n ).fetchall())\\\\n', 'def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\\\n from jarvis_finance.imports.broker_mapping import get_dry_run_sessions\\\\n\\\\n return get_dry_run_sessions(conn, limit=limit)\\\\n')\\ns=s.replace('def get_broker_review_items(conn: Connection, limit: int = 100) -> list[dict[str, str]]:\\\\n from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items\\\\n\\\\n return _items(conn, status=None, limit=limit)\\\\n', '''def get_broker_review_items(conn: Connection, limit: int = 100, **filters) -> list[dict[str, str]]:\\\\n from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items\\\\n\\\\n return _items(conn, limit=limit, **filters)\\\\n\\\\n\\\\ndef get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:\\\\n from jarvis_finance.imports.broker_mapping import get_review_readiness_counts as _counts\\\\n\\\\n return _counts(conn)\\\\n\\\\n\\\\ndef get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:\\\\n from jarvis_finance.imports.broker_mapping import get_ready_for_import_by_source as _counts\\\\n\\\\n return _counts(conn)\\\\n''')\\n# insert additional DQ checks before return items\\ns=s.replace(' for flag_row in get_review_quality_flag_counts(conn):\\\\n count = int(flag_row[\\\"open_items\\\"] or 0)\\\\n items.append({\\\"check\\\": f\\\"Review Flag: {flag_row[\\\\'quality_flag\\\\']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\\\n return items\\\\n', ''' for flag_row in get_review_quality_flag_counts(conn):\\\\n count = int(flag_row[\\\"open_items\\\"] or 0)\\\\n items.append({\\\"check\\\": f\\\"Review Flag: {flag_row['quality_flag']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\\\n for ready in get_review_readiness_counts(conn):\\\\n count = int(ready[\\\"count\\\"] or 0)\\\\n sev = \\\"ok\\\" if ready[\\\"readiness_status\\\"] in {\\\"ready_for_import\\\", \\\"ignored\\\"} else (\\\"warnung\\\" if count else \\\"ok\\\")\\\\n items.append({\\\"check\\\": f\\\"Review Readiness: {ready['readiness_status']}\\\", \\\"count\\\": str(count), \\\"severity\\\": sev})\\\\n for source in get_ready_for_import_by_source(conn):\\\\n if int(source[\\\"total\\\"] or 0) and int(source[\\\"ready_for_import\\\"] or 0) == 0:\\\\n items.append({\\\"check\\\": f\\\"Quelle ohne ready_for_import: {source['source_platform']}\\\", \\\"count\\\": source[\\\"total\\\"], \\\"severity\\\": \\\"warnung\\\"})\\\\n missing_snapshot = conn.execute(\\\"SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'\\\").fetchone()\\\\n count = int(missing_snapshot[\\\"c\\\"] or 0) if missing_snapshot else 0\\\\n items.append({\\\"check\\\": \\\"Dry Runs ohne Snapshot Date\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\\\n return items\\\\n''')\\np.write_text(s)\\nprint('data patched')\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"data patched\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "call_iDODoDDEFijJAIFyzoamrR7P" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu2tzuoZgvkhdh7qTPKgcR4xs2XA52HzBbjuwYvjkbnWhzasezX64wRXpWQWf01pXuiu89tC6j_n4nr1t82HlBktoPJ7gjUZuIpF07kqAvsZwwrKYyLTdv8Asan6nM5QS7GRPt0Kx1uJCwPaV9M57jND2Ncx7dsiCigw3j2G2nlMn1Z4gd6K8Z3H13OhRadikvVuJHICXrpsRR2R3WrEIMfczueF64hL7b1KiVr1OdDoXALyRAmX8yVNCUHm9XUcfOt3Is_o58cutsJsJx7-eFJ2g8b_dgXRCO4tQEMicmkAGRPPEMlFZIOp8IH-YRtaXit0fkr0lHswSfasjtRB-sG6aUf5r0fSMzDK4l1S2O9waLh1DGuMfUczCgMai6IAb1r1wQailL6hsuCq-YIi0nOXW8VVhPObAadwlOYIU2UkCKExGYND0Vd1TywEIzxBenQIrZsws9ZI3IezKsqwVZ6G4pOIct_gyRrQSuslynSZnwSM51P0SkA9cfhuE-JlKiZdxJ8AWTPa-dRI_9nwOfrCSq_7AvNiN16yOllg5ixc9pRTD_ru5EO_-ZkvWzjuRRDJB3pAmpCTeNOtpvEA0cCkBz5X51DTVWyTzudXP6klACSZJvl6CrFEmd2EXAgQHkt3bj-SZdSSceI8DqQXwJQtvZEDv_xKvKXwFncnYMNMARMeprw3K08X1sCaG3zQvxYQIlVEFgusoWmW8VlomuSbcZzaSAFno51jGaYQ5C8m4Jiq5c81qHxWElWEQjhMJo2awU_vQzLSDwwAISdSrkr3xKxnZYyhLTRaHe2dUWgRaN1PCkVZEep-R4_W7SQCw9DoZU8lI4q753c8i3lGDzUTWmo3fhLL03qLpE2FVO3zCrXsLuqtKTlGRY7LvTPmOwWolcsVqzy8eaJhKuR6OQpT__KNKd4z0uo1WVQTM_hTsy8=", "id": "rs_0c76e56576ffc0fb016a06edaca1dc8191bd8481cb907e1d05", "summary": [] } ], "tool_calls": [ { "id": "call_o5hJq5XWm4sIFsaQKbKos7mk", "call_id": "call_o5hJq5XWm4sIFsaQKbKos7mk", "response_item_id": "fc_0c76e56576ffc0fb016a06edad464c8191b291acb14dc6c2c9", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\",\"content\":\"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\n\\nPAGE_TITLE = \\\"Manual Review Queue\\\"\\n\\nQUALITY_FLAGS = [\\n \\\"missing_isin\\\", \\\"missing_ticker\\\", \\\"snapshot_only\\\", \\\"cost_basis_uncertain\\\",\\n \\\"market_value_legacy\\\", \\\"missing_fx\\\", \\\"aggregate_only\\\", \\\"missing_instrument_details\\\",\\n \\\"cash_snapshot_candidate\\\", \\\"needs_manual_review\\\",\\n]\\n\\n\\ndef _none_if_all(value: str) -> str | None:\\n return None if value in {\\\"Alle\\\", \\\"\\\"} else value\\n\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Manual Review Queue\\\")\\n st.caption(\\\"Phase B4: Runtime-Review-Metadaten bearbeiten; Portfolio-/Ledger-/Snapshot-Writes bleiben blockiert.\\\")\\n\\n sessions = data.get_broker_dry_runs(conn, limit=100)\\n dry_run_ids = [s[\\\"dry_run_id\\\"] for s in sessions if s.get(\\\"dry_run_id\\\")]\\n\\n st.subheader(\\\"Filter\\\")\\n c1, c2, c3 = st.columns(3)\\n with c1:\\n source = _none_if_all(st.selectbox(\\\"Quelle\\\", [\\\"Alle\\\", \\\"PostFinance\\\", \\\"True Wealth\\\", \\\"Raiffeisen\\\"]))\\n status = _none_if_all(st.selectbox(\\\"Status\\\", [\\\"Alle\\\", \\\"open\\\", \\\"blocked\\\", \\\"mapped\\\", \\\"ignored\\\", \\\"resolved\\\"]))\\n asset_class = _none_if_all(st.selectbox(\\\"Assetklasse\\\", [\\\"Alle\\\", \\\"equity\\\", \\\"etf\\\", \\\"cash\\\", \\\"other\\\"]))\\n with c2:\\n dry_run_id = _none_if_all(st.selectbox(\\\"Dry Run Session\\\", [\\\"Alle\\\", *dry_run_ids]))\\n quality_flag = _none_if_all(st.selectbox(\\\"Quality Flag\\\", [\\\"Alle\\\", *QUALITY_FLAGS]))\\n currency = st.text_input(\\\"Währung\\\", value=\\\"\\\").strip().upper() or None\\n with c3:\\n account_mapping_status = _none_if_all(st.selectbox(\\\"Account Mapping\\\", [\\\"Alle\\\", \\\"missing\\\", \\\"mapped\\\"]))\\n readiness = _none_if_all(st.selectbox(\\\"Import Readiness\\\", [\\\"Alle\\\", \\\"not_ready\\\", \\\"review_needed\\\", \\\"ready_for_import\\\", \\\"ignored\\\", \\\"blocked\\\"]))\\n\\n items = data.get_broker_review_items(\\n conn,\\n limit=500,\\n source_platform=source,\\n dry_run_id=dry_run_id,\\n status=status,\\n quality_flag=quality_flag,\\n asset_class=asset_class,\\n currency=currency,\\n account_mapping_status=account_mapping_status,\\n readiness_status=readiness,\\n )\\n st.subheader(\\\"Review Items\\\")\\n show_table(st, items)\\n\\n st.subheader(\\\"Detailansicht\\\")\\n if items:\\n selected = st.selectbox(\\\"Review Item\\\", [i[\\\"item_id\\\"] for i in items])\\n from jarvis_finance.imports.broker_mapping import get_review_item_detail\\n detail = get_review_item_detail(conn, selected)\\n st.write(detail[\\\"item\\\"])\\n st.caption(\\\"Audit History\\\")\\n show_table(st, detail[\\\"audit_history\\\"])\\n else:\\n st.info(\\\"Keine Review Items für diesen Filter.\\\")\\n\\n st.subheader(\\\"Dry Run Sessions\\\")\\n show_table(st, sessions)\\n st.caption(\\\"Aktionen vorbereitet: archivieren, verwerfen, als aktuell markieren. Kein produktiver Import.\\\")\\n\\n st.subheader(\\\"Kontrollierte Review-Metadaten-Aktionen\\\")\\n st.info(\\\"Review-Metadaten schreiben ist nach expliziter Bestätigung erlaubt; Portfolio-/Ledger-/Snapshot-Writes bleiben blockiert.\\\")\\n st.button(\\\"ISIN speichern\\\", disabled=True)\\n st.button(\\\"Ticker/Exchange speichern\\\", disabled=True)\\n st.button(\\\"Instrument Mapping bestätigen\\\", disabled=True)\\n st.button(\\\"Account Mapping bestätigen\\\", disabled=True)\\n st.button(\\\"Ignore with note\\\", disabled=True)\\n st.button(\\\"Mark resolved\\\", disabled=True)\\n st.button(\\\"Produktiven Initial Snapshot committen\\\", disabled=True)\\n\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 3428, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_o5hJq5XWm4sIFsaQKbKos7mk" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_KzfPvnrCphTH2Vz0VTmhvHTH", "call_id": "call_KzfPvnrCphTH2Vz0VTmhvHTH", "response_item_id": "fc_0c76e56576ffc0fb016a06edc1ed30819195ed04ed612c8f89", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom jarvis_finance.dashboard import data\\nfrom jarvis_finance.dashboard.components.tables import show_table\\n\\nPAGE_TITLE = \\\"Data Quality Center\\\"\\n\\n\\ndef render(st, conn) -> None:\\n st.title(\\\"Data Quality Center\\\")\\n st.caption(\\\"Alerts, Preise, FX, ISIN, Parser-/Review-Flags, Readiness und Safe-Mode-Prüfungen.\\\")\\n st.subheader(\\\"Data Quality Checks\\\")\\n show_table(st, data.get_data_quality(conn))\\n st.subheader(\\\"Review Items nach Quality Flag\\\")\\n show_table(st, data.get_review_quality_flag_counts(conn))\\n st.subheader(\\\"Import Readiness\\\")\\n show_table(st, data.get_review_readiness_counts(conn))\\n st.subheader(\\\"Ready for Import je Quelle\\\")\\n show_table(st, data.get_ready_for_import_by_source(conn))\\n st.subheader(\\\"Alerts\\\")\\n show_table(st, data.get_alerts(conn))\\n st.subheader(\\\"Sichere Aktionen\\\")\\n st.button(\\\"Data Quality Recheck\\\", disabled=True)\\n st.button(\\\"Resolve Fixed Alerts\\\", disabled=True)\\n st.button(\\\"Review Items aktualisieren\\\", disabled=True)\\n st.button(\\\"Produktiven Import starten\\\", disabled=True)\\n st.info(\\\"Links zur Review Queue können über die Navigation/Filter genutzt werden; produktive Commit-Aktionen bleiben deaktiviert.\\\")\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 1224, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_KzfPvnrCphTH2Vz0VTmhvHTH" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_Yaog6xSmGJh9hCyymxwxKwDB", "call_id": "call_Yaog6xSmGJh9hCyymxwxKwDB", "response_item_id": "fc_0c76e56576ffc0fb016a06edcde4ac819184dc0bca6c2d5d9a", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"old_string\":\" st.caption(\\\"Phase B2: synthetische Parser-Dry-Runs, Review Items und Quality Flags — kein produktiver Aktien-/ETF-/Cash-Import.\\\")\",\"new_string\":\" st.caption(\\\"Phase B4: Dry-Run-Sessions, Review Queue und Readiness — kein produktiver Aktien-/ETF-/Cash-Import.\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\\n@@ -9,7 +9,7 @@\\n \\n def render(st, conn) -> None:\\n st.title(\\\"Import Wizard\\\")\\n- st.caption(\\\"Phase B2: synthetische Parser-Dry-Runs, Review Items und Quality Flags — kein produktiver Aktien-/ETF-/Cash-Import.\\\")\\n+ st.caption(\\\"Phase B4: Dry-Run-Sessions, Review Queue und Readiness — kein produktiver Aktien-/ETF-/Cash-Import.\\\")\\n \\n st.info(\\\"Modus: Read-only. Produktive Commit-Aktionen sind standardmäßig deaktiviert.\\\")\\n st.warning(\\\"Echte Broker-/Bankdateien nur Runtime/Temp verarbeiten. Keine Dateien ins Repo kopieren.\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Yaog6xSmGJh9hCyymxwxKwDB" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu3WCRONz_ItShEs0NHXd5Bmh0lFY-K54-odP7G0pwuK5DUFVdwQTMZgyom0bito_-QYrsrk-6lGpWun-VgEkhlc6LUD1ibBC5ujnUvQXZv4SGV1EfmELw5UEgDNG9hRvPmZ_IWfSmdQEb1cN1ZTNfH20EdaEq3jtUWH0gVhHTZbwcJ_xbYNTbnCCoE1vq2PinZc3gDAENwAypAk3kqmnxrYSHO12PEPC8ZnmRi7Ol8wSMY_wffEXtXQFUANJlIdR3mwg0sg9_4QZjZvmjMzRKU25rSoKZpEMPSorbO0iCpxXtBrKGPNiRth0zm4sFnh5Tqo8JXuABSsGITL8i-6L1R9nQwxNc20eYVEyI4s_LoPVRTZE2lr-72olV8ycp3qf5AFIudYYfCkbOjq5DG59_4UY93iS_SD39qvPkAZGMD5RywHXUvLKNbfQ8L7r49wNSY_Gsw4klb06qOFcGBq8St-FmSpmgQrzWspZj91Xbj_VXCmpr1LjJ91BQNvXQV3UL4GX6LS7atD8OOwwfsOj3Tp5RkHzZxydHQark2TcxPz6wRA2eV2vnlK67Yooyi6jjCQsAxfdFq7-yNSr3dBwo2mSuwI6rrwuigdIvbuNOc5sAmt9vrUTrjYEfYfUGJxobG_pqGJorL3qB2UPwHu_QaN25piVAyCaKH6B7MNWG7HbF9fdchTSIj1yU5bBhajBvXAtKPlLqxS9jh68Ntkp_CGBPlprSVt7x0WExZFKQboWS_CnNqUUztNjLKTKUawKJmJ99evAueoppJocA04iB5gzCh5ZnE7g0gJ9MD5FZGZus9Lrbw0kIHDnASwh3pJHtMB5VttyymrgyJny4f2O4tV5M8cud_EQUg21WlXirwHN2J1Fw6kwZJYYQfMavjBAzRyqiscqmKLV0rgkUUkJOtmECzkymEhnorf9LUDIYeQ4okYuAIPfN38SncqAS34ekpr3iJGZ4UMuBf1DGlKo6LAv25fPh5y3JbANySwQ007rY0_ikPu-j14JYAHuADoG3AjxkZEXtBY1UC9BL7rDpIOCdARluCawF__gy0316vOuRk=", "id": "rs_0c76e56576ffc0fb016a06edd3e15081918db42a06c67785d4", "summary": [] } ], "tool_calls": [ { "id": "call_k7ZXEyF8obBBKYrTjqdGu30C", "call_id": "call_k7ZXEyF8obBBKYrTjqdGu30C", "response_item_id": "fc_0c76e56576ffc0fb016a06edd6980c8191906b19ffd5c67676", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"schema_version|== 5|MIGRATION_VERSION\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests\",\"target\":\"content\",\"limit\":20}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_k7ZXEyF8obBBKYrTjqdGu30C" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_ErzhyJeAqdhVoDrmsvhWtA7V", "call_id": "call_ErzhyJeAqdhVoDrmsvhWtA7V", "response_item_id": "fc_0c76e56576ffc0fb016a06edd9b3348191a47f1fd26816b41c", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":80,\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|from __future__ import annotations\\n 2|\\n 3|from jarvis_finance.storage.database import connect_memory\\n 4|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n 5|from jarvis_finance.storage.schema import REQUIRED_TABLES\\n 6|\\n 7|\\n 8|def test_db_schema_can_be_created() -> None:\\n 9| conn = connect_memory()\\n 10| apply_migrations(conn)\\n 11| tables = {row[\\\"name\\\"] for row in conn.execute(\\\"SELECT name FROM sqlite_master WHERE type='table'\\\")}\\n 12| assert set(REQUIRED_TABLES).issubset(tables)\\n 13|\\n 14|\\n 15|def test_schema_version_recorded() -> None:\\n 16| conn = connect_memory()\\n 17| apply_migrations(conn)\\n 18| assert get_schema_version(conn) == 5\\n 19|\\n 20|\\n 21|def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n 22| conn = connect_memory()\\n 23| apply_migrations(conn)\\n 24| tx_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(transactions)\\\").fetchall()}\\n 25| crypto_cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(crypto_holdings)\\\").fetchall()}\\n 26| instrument_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instruments)\\\").fetchall()}\\n 27| assert tx_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n 28| assert tx_cols[\\\"fx_rate_to_chf\\\"].upper() == \\\"TEXT\\\"\\n 29| assert crypto_cols[\\\"quantity\\\"].upper() == \\\"TEXT\\\"\\n 30| assert {\\\"position_category\\\", \\\"ter\\\", \\\"distribution_policy\\\", \\\"index_name\\\", \\\"fund_domicile\\\", \\\"benchmark\\\"}.issubset(instrument_cols)\\n 31|\\n 32|\\n 33|def test_broker_bank_mapping_tables_exist_with_required_columns() -> None:\\n 34| conn = connect_memory()\\n 35| apply_migrations(conn)\\n 36| instrument_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(instrument_mappings)\\\").fetchall()}\\n 37| account_mapping_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(platform_account_mappings)\\\").fetchall()}\\n 38| dry_run_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_dry_runs)\\\").fetchall()}\\n 39|\\n 40| assert {\\\"source_name\\\", \\\"source_platform\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"isin\\\", \\\"ticker\\\", \\\"exchange\\\", \\\"currency\\\", \\\"asset_class\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"confidence\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n 41| assert {\\\"source_platform\\\", \\\"source_account_label\\\", \\\"normalized_platform\\\", \\\"normalized_account_name\\\", \\\"internal_platform_id\\\", \\\"internal_account_id\\\", \\\"account_type\\\", \\\"currency\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n 42| assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\"}.issubset(dry_run_cols)\\n 43| review_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_review_items)\\\").fetchall()}\\n 44| assert {\\\"review_item_id\\\", \\\"dry_run_id\\\", \\\"source_platform\\\", \\\"source_row_ref\\\", \\\"row_hash\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"detected_asset_class\\\", \\\"detected_currency\\\", \\\"quality_flags_json\\\", \\\"review_status\\\"}.issubset(review_cols)\\n 45|\", \"total_lines\": 44, \"file_size\": 2964, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_ErzhyJeAqdhVoDrmsvhWtA7V" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_cEFYtPCnt2V3zfTT7LKx7pUb", "call_id": "call_cEFYtPCnt2V3zfTT7LKx7pUb", "response_item_id": "fc_0c76e56576ffc0fb016a06eddf3b70819197c7c5298d37fea3", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\",\"old_string\":\" assert get_schema_version(conn) == 5\",\"new_string\":\" assert get_schema_version(conn) == 6\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -15,7 +15,7 @@\\n def test_schema_version_recorded() -> None:\\n conn = connect_memory()\\n apply_migrations(conn)\\n- assert get_schema_version(conn) == 5\\n+ assert get_schema_version(conn) == 6\\n \\n \\n def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_cEFYtPCnt2V3zfTT7LKx7pUb" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_944O8ZhOki8GWbH4ySubk4vB", "call_id": "call_944O8ZhOki8GWbH4ySubk4vB", "response_item_id": "fc_0c76e56576ffc0fb016a06ede4100c8191b49f07f5c1ca8723", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\", \\\"session_status\\\", \\\"is_current\\\"}.issubset(dry_run_cols)\\n review_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_review_items)\\\").fetchall()}\\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\",\"old_string\":\" assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\"}.issubset(dry_run_cols)\\n review_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_review_items)\\\").fetchall()}\\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\\\"}.issubset(review_cols)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -39,6 +39,6 @@\\n \\n assert {\\\"source_name\\\", \\\"source_platform\\\", \\\"source_label\\\", \\\"normalized_name\\\", \\\"isin\\\", \\\"ticker\\\", \\\"exchange\\\", \\\"currency\\\", \\\"asset_class\\\", \\\"instrument_id\\\", \\\"mapping_status\\\", \\\"confidence\\\", \\\"quality_flags_json\\\"}.issubset(instrument_mapping_cols)\\n assert {\\\"source_platform\\\", \\\"source_account_label\\\", \\\"normalized_platform\\\", \\\"normalized_account_name\\\", \\\"internal_platform_id\\\", \\\"internal_account_id\\\", \\\"account_type\\\", \\\"currency\\\", \\\"mapping_status\\\"}.issubset(account_mapping_cols)\\n- assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\"}.issubset(dry_run_cols)\\n+ assert {\\\"source_platform\\\", \\\"source_file_type\\\", \\\"source_filename_hash\\\", \\\"detected_snapshot_date\\\", \\\"snapshot_date_status\\\", \\\"candidate_positions\\\", \\\"candidate_cash_rows\\\", \\\"mapped_positions\\\", \\\"blocked_positions\\\", \\\"quality_flags_json\\\", \\\"summary_json\\\", \\\"session_status\\\", \\\"is_current\\\"}.issubset(dry_run_cols)\\n review_cols = {row[\\\"name\\\"] for row in conn.execute(\\\"PRAGMA table_info(broker_import_review_items)\\\").fetchall()}\\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\\\"}.issubset(review_cols)\\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\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_944O8ZhOki8GWbH4ySubk4vB" }, { "role": "assistant", "content": "", "reasoning": "**Updating import functions**\n\nI need to append some tests, and I think a direct call to create_review_item at a lower level would be easier. So, I should import the necessary functions for that. Right now, my import line isn’t quite enough and needs to expand. It's a good opportunity to double-check all the imports to make sure I have everything I need for the tests to run smoothly.", "finish_reason": "tool_calls", "reasoning_content": "**Updating import functions**\n\nI need to append some tests, and I think a direct call to create_review_item at a lower level would be easier. So, I should import the necessary functions for that. Right now, my import line isn’t quite enough and needs to expand. It's a good opportunity to double-check all the imports to make sure I have everything I need for the tests to run smoothly.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu3w1PDQdajUTBJYvhZ3LJ4tW4cz8UZ6HrnNOdSysqlYixi2WdqWAUItpBRhnuPdjtastl0fleqLY7Cnya1P8PKDmQ7b4F3WCQCF2qd9RCUj6jv8PDSmKkohRCqUBnvExnrzQL01gciFg4bsTvMnUWSuIvX2R4MenBFsa_GP-53NIWfG65KWcqgMwi-Chk-xdUonzQ2atVNykKXVwdAkavRlMy_BykaVEDaa29jFWFYTPUZngdPWQzCNondT8utYsg2LaFE87dxmS9ZxusVTZJe1Hmaw_X-wF9IR31ecvg22fdCR3xzqFz1BCesVvlpmmN4ykhSf6JRonrhBNPyxQ1VVl0ws9hTUJGuaeeU8uAkUspq-jgQro1hzgeisSk7duLkFElxmPJFC8-D6fs-IL_UNC9owovrE4Sc7RukZ30KBLDYo0lmFVuMXIS1vFLFimgm2uR6PDwgLI2LCdA3B4M1ywN6qC4RnHW2s11t_KrKSQubZ5zAoniZo8aNjvWp6yzgXqi8L_Ga-MhxnpyC-rwmfxeCA_Nf9bQ0-t1LkgitMu0NGuL_ivnbo5pWzbZZaZAfHmQ8TTG7sbdUA-DTKXHp-DlvalgVLBFF8g_K7p7S4DmfPUo7TaB_wp2hXl0wzt6GJolaV96y71KmXeg-oSx71vGZS-5XaInlzj6kDLPMk8yHHgaa8b1OJFhYbbPbEL-jpOe3fI9CZsmcv61T8d03-IQCf81cdUREsZXwmsHqehVXZhhN62JmJhOVKxU-e7xWgy6ceAvxv14YcgOtSwOUMt3S1N802s0tvLa_8tdB88RO3_wa0pp_7PMCDrL2mcGpJcpvtYzROJaW91mZZw9Pb87R5JguHzRAQ-gLwObIenoQea2j4sCIAKONesbtuWSTjIdgbzupfQIX2jalEoKH2sRVAuJhG-K4tFSg0uKroXkwrX0KZc2OKfqRN9WjL9iNS2dnhM1eafs6lQJyWXEIfJtrw7Q9ZqkpHjG3bLvMoM9cuE-lBYK3_XSFz095DlywjokeuZCPW7GFxY2na6c2btYTHqN4Te-IUz7msOA6b_Pc6lfvL6LJRwZodwHeozgJV", "id": "rs_0c76e56576ffc0fb016a06edeebd188191b5c674c6b0084267", "summary": [ { "type": "summary_text", "text": "**Updating import functions**\n\nI need to append some tests, and I think a direct call to create_review_item at a lower level would be easier. So, I should import the necessary functions for that. Right now, my import line isn’t quite enough and needs to expand. It's a good opportunity to double-check all the imports to make sure I have everything I need for the tests to run smoothly." } ] } ], "tool_calls": [ { "id": "call_WdtbjF7OE0quxWs62CPx7jAb", "call_id": "call_WdtbjF7OE0quxWs62CPx7jAb", "response_item_id": "fc_0c76e56576ffc0fb016a06edf0fdf081918ac81fe1723c6ade", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"old_string\":\"from jarvis_finance.imports.broker_mapping import assert_write_enabled, confirm_review_item_mapping, get_broker_review_items, run_broker_import_dry_run\",\"new_string\":\"from jarvis_finance.imports.broker_mapping import (\\n assert_productive_import_disabled,\\n assert_write_enabled,\\n confirm_review_item_account_mapping,\\n confirm_review_item_instrument_mapping,\\n confirm_review_item_snapshot_date,\\n confirm_review_item_mapping,\\n create_broker_import_review_item,\\n get_broker_review_items,\\n get_dry_run_sessions,\\n ignore_review_item,\\n mark_review_item_resolved,\\n run_broker_import_dry_run,\\n update_dry_run_session_status,\\n update_review_item_isin,\\n update_review_item_ticker_exchange,\\n)\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n@@ -4,7 +4,23 @@\\n from pathlib import Path\\n \\n from jarvis_finance.dashboard import data as dashboard_data\\n-from jarvis_finance.imports.broker_mapping import assert_write_enabled, confirm_review_item_mapping, get_broker_review_items, run_broker_import_dry_run\\n+from jarvis_finance.imports.broker_mapping import (\\n+ assert_productive_import_disabled,\\n+ assert_write_enabled,\\n+ confirm_review_item_account_mapping,\\n+ confirm_review_item_instrument_mapping,\\n+ confirm_review_item_snapshot_date,\\n+ confirm_review_item_mapping,\\n+ create_broker_import_review_item,\\n+ get_broker_review_items,\\n+ get_dry_run_sessions,\\n+ ignore_review_item,\\n+ mark_review_item_resolved,\\n+ run_broker_import_dry_run,\\n+ update_dry_run_session_status,\\n+ update_review_item_isin,\\n+ update_review_item_ticker_exchange,\\n+)\\n from jarvis_finance.imports.broker_parsers import parse_postfinance_docx, parse_raiffeisen_xlsx, parse_true_wealth_docx\\n from jarvis_finance.storage.database import connect_memory\\n from jarvis_finance.storage.migrations import apply_migrations, utc_now\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_WdtbjF7OE0quxWs62CPx7jAb" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_Eo1Qy9oYwxPWi8mEr6vdhYKH", "call_id": "call_Eo1Qy9oYwxPWi8mEr6vdhYKH", "response_item_id": "fc_0c76e56576ffc0fb016a06edfaa5588191ab221e37c2d3f188", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def seed_instrument(c, *, instrument_id='inst-1', asset_class='etf', isin='CH0000000001', ticker='METF', exchange='SIX', currency='CHF'):\\n c.execute(\\\"INSERT INTO instruments(instrument_id, asset_class, name, ticker, isin, exchange, currency, created_at) VALUES (?,?,?,?,?,?,?,?)\\\", (instrument_id, asset_class, 'Mapped ETF', ticker, isin, exchange, currency, utc_now()))\\n\\n\\ndef seed_accounts(c):\\n c.execute(\\\"INSERT INTO platforms(platform_id, name, platform_type, created_at) VALUES ('pf','PostFinance','broker',?)\\\", (utc_now(),))\\n c.execute(\\\"INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('acct-broker','pf','Brokerage','brokerage','CHF',?)\\\", (utc_now(),))\\n c.execute(\\\"INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('acct-cash','pf','Cash','cash','CHF',?)\\\", (utc_now(),))\\n\\n\\ndef seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n dry = run_broker_import_dry_run(c, parse_postfinance_docx.__globals__['ParsedBrokerFile'] if False else None, source_filename='x') if False else None\\n c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\\n return create_broker_import_review_item(c, dry_run_id='dry-1', source_platform=source, source_file_type='docx', source_row_ref='row-1', source_label='Synthetic Label', detected_asset_class=asset_class, detected_currency=currency, detected_quantity_present=quantity, detected_market_value_present=market_value, quality_flags=flags or ['missing_isin', 'missing_ticker', 'snapshot_only', 'cost_basis_uncertain'], review_status=status)\\n\",\"old_string\":\"def seed_instrument(c):\\n c.execute(\\\"INSERT INTO instruments(instrument_id, asset_class, name, ticker, isin, exchange, currency, created_at) VALUES ('inst-1','etf','Mapped ETF','METF','CH0000000001','SIX','CHF',?)\\\", (utc_now(),))\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n@@ -63,8 +63,20 @@\\n return c\\n \\n \\n-def seed_instrument(c):\\n- c.execute(\\\"INSERT INTO instruments(instrument_id, asset_class, name, ticker, isin, exchange, currency, created_at) VALUES ('inst-1','etf','Mapped ETF','METF','CH0000000001','SIX','CHF',?)\\\", (utc_now(),))\\n+def seed_instrument(c, *, instrument_id='inst-1', asset_class='etf', isin='CH0000000001', ticker='METF', exchange='SIX', currency='CHF'):\\n+ c.execute(\\\"INSERT INTO instruments(instrument_id, asset_class, name, ticker, isin, exchange, currency, created_at) VALUES (?,?,?,?,?,?,?,?)\\\", (instrument_id, asset_class, 'Mapped ETF', ticker, isin, exchange, currency, utc_now()))\\n+\\n+\\n+def seed_accounts(c):\\n+ c.execute(\\\"INSERT INTO platforms(platform_id, name, platform_type, created_at) VALUES ('pf','PostFinance','broker',?)\\\", (utc_now(),))\\n+ c.execute(\\\"INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('acct-broker','pf','Brokerage','brokerage','CHF',?)\\\", (utc_now(),))\\n+ c.execute(\\\"INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('acct-cash','pf','Cash','cash','CHF',?)\\\", (utc_now(),))\\n+\\n+\\n+def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n+ dry = run_broker_import_dry_run(c, parse_postfinance_docx.__globals__['ParsedBrokerFile'] if False else None, source_filename='x') if False else None\\n+ c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\\n+ return create_broker_import_review_item(c, dry_run_id='dry-1', source_platform=source, source_file_type='docx', source_row_ref='row-1', source_label='Synthetic Label', detected_asset_class=asset_class, detected_currency=currency, detected_quantity_present=quantity, detected_market_value_present=market_value, quality_flags=flags or ['missing_isin', 'missing_ticker', 'snapshot_only', 'cost_basis_uncertain'], review_status=status)\\n \\n \\n def test_synthetic_postfinance_parser_recognizes_candidates_and_quality_flags(tmp_path: Path) -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Eo1Qy9oYwxPWi8mEr6vdhYKH" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu4STqiukSITJCrMOFDFaiuSkxgDBSQM00ngOTiWrfDATX0AayeFXVkjxPWsUn-mz1tI1RN1xEv0p3a7LX7RkfaTZK7kjJU1YubafI6JQzyxET-lJ4oHusMMM7TriMOxL--aQGpNynTWeluCkGcrAKr5kSxA_AqX44XPbTvwBwHjmJELIMAvwvCtEXzU583I9Nxt1wx4PKrABmOMJRGk2Pv_zpgDXyiz2Ej8fVV9sFTMmqojqGjMh4dMV6KCAGonadZZRajCGqiPYN2oE1pp3CROjZpJyeSzuzgHEIGz__asXUyouUm5cnZVUKk_E5B3W9iPaJKsKKVhESLvIRM7ZflcPdK0d8y9Lm24hRGr25oLb8tVVJbE6WxFyvv-LjJno2R7MCZ6hvjzzf3PGG9J0uhYIhJjsIANDwx7Q_LuzuF7oCDUfc6VbEZRl8IWkEoC_-nidUCciIHFzZYMDSJuobRXRody1kTwn9-deq-CH7r7Veq15gD5AgYOvarAlCvurIWJFTuQDW8yym7ypeFgbLh7_oTsSJ9KY-fWaB4hvHjkwW2wKZZY_HiL-9d8hVNuo4_mbIZ3qq1CMAxkzP9gNIes4YD1RnevmgTitfxWFK1m4Cxt9fEAmOkWEw-5fPYTE1n6EuJbOEoWpeb67esA-elomnJCQdRfx1LP9A4xVWpY_0kjLwGdd99gulNnkK6TQtQjpFYi-IXOmjhg36M__Gp-ZB5J-Cct33Ynnpm1AUE3ebQ8pAgmTg4ocaWb3AHW4Rez-k97PdBJn3YiG3-ZfiuyeipG9Oe8as5CUiKrrE91G4qZ9SNULdXw6FNDPogbw6-dgsXOGnz6k_D7KqX0PGuNLQJIPqix6fW-3GUuFtezZB1u5iA_gMwo3iYD05yleHSY5isZscHdGdZvhcAStSr0VU6hQd7ezxgtykYcTwHJeSZLgCb_Kjl-9RmUL4OqMS0a1vfI28f8lLbg5TNS_EhgJ1qHQP2BajpoCDufIcEGfMcFlGhIAnpdrmGGmgm1uS3P", "id": "rs_0c76e56576ffc0fb016a06ee10b5e08191ba4e15f0f715eef4", "summary": [] } ], "tool_calls": [ { "id": "call_G1T99LpzjfoPR79qFsXHSgTK", "call_id": "call_G1T99LpzjfoPR79qFsXHSgTK", "response_item_id": "fc_0c76e56576ffc0fb016a06ee12f7a481919192f0ee9ebc4f5e", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\",\"old_string\":\"def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n dry = run_broker_import_dry_run(c, parse_postfinance_docx.__globals__['ParsedBrokerFile'] if False else None, source_filename='x') if False else None\\n c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n@@ -74,7 +74,6 @@\\n \\n \\n def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n- dry = run_broker_import_dry_run(c, parse_postfinance_docx.__globals__['ParsedBrokerFile'] if False else None, source_filename='x') if False else None\\n c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\\n return create_broker_import_review_item(c, dry_run_id='dry-1', source_platform=source, source_file_type='docx', source_row_ref='row-1', source_label='Synthetic Label', detected_asset_class=asset_class, detected_currency=currency, detected_quantity_present=quantity, detected_market_value_present=market_value, quality_flags=flags or ['missing_isin', 'missing_ticker', 'snapshot_only', 'cost_basis_uncertain'], review_status=status)\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_G1T99LpzjfoPR79qFsXHSgTK" }, { "role": "assistant", "content": "", "reasoning": "**Appending tests and issues**\n\nI'm considering how to append tests. I need to think about the seed_review duplicate dry-1 issue, especially if there are multiple entries in the same connection. For the filters, maybe I should use the run function in conjunction with files. It seems like appending everything could help streamline the process. Alright, I’ll keep these details in mind as I move forward!", "finish_reason": "tool_calls", "reasoning_content": "**Appending tests and issues**\n\nI'm considering how to append tests. I need to think about the seed_review duplicate dry-1 issue, especially if there are multiple entries in the same connection. For the filters, maybe I should use the run function in conjunction with files. It seems like appending everything could help streamline the process. Alright, I’ll keep these details in mind as I move forward!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu4dtnj4xUgEwXAMnZlgwEFN8GcnSGRcvzJpfCXUXrndMDQMp-StuEPu9nR7uQCGpvYA8WTFfpwiG-EZUcXTlICJbXKWcX-_npY5TGXMRnXtni20C8j8CNaEHdQbpoJ4pVGfy5XPB-L_zjyerk3ooRrA7XkgY-evH6Jtl0-H3LobIsd6SJ3vh1jhh908BZgHsy8RkWSrIQUAHP_xXg0fcRhIxPxLwkVc8eTuIgJ48ffJWu1C6pNpAqM8b2nTCMvIGj7urhz8OdA2n9E1LamMt741P191fYnKBI46gKGh7v-geKQrJE029ENjtEuC20K2YFad0vLMAOd0CzbFgZVbKjlQ7A0imC7D1EOwIy2hgrULxOZy203_PQBWSdQrp2IHKhLM5YTunGGm9EbSzqINb1lLaliUTYH85YZlyuXOcXDmM5zcYcFpztT_2DPBnUdK6YU0gOyMyKPK89eB_U4AzVVIMFY9LD2ksCufEV61XhjQR3hWS_dqibn8O21n53q3br8Z84ZlCoMkftO30LxYE7zD-C4_YGpboApBQNknVGznuFD9_yp7bgYrLspZNpD5tdhbJcy5cka3Q203jXsdIuz-XWjsds_EKLGZJrUHNTYwBmzGqzzpD-Fv_XWMBR3VodjK1-HnvIxvBFQ9RwxliEkh7ieZujF5fDDc3Xht7jlDQ3M09q-sO7cKfFliRqUU6G8NuB-zREHZfA4CkI9BPG7FcDlF0qDEUFgxghP-_Qxyan3GfP5oflv2proVEopO8FSFecoALqOsJ9jUIy3kgoC0qv1-aFRD0qaA2Ak6NErtYHUIoCwLQRRtmfMydvaaKpTRuqbqS38QbWy8N4DReUv1r2DdeRqPi_T2qdzYr58PmHnSXSxojoM56-9e5ZKBfjqIu1CBSKfqlZr9mJWuhWHpun04iXIfRgpMuBp4d-Lce-lD7TRWTmcn8dXoTIEPspLwywnWbC6oxGoHhIYen4Gc0rwlI8YIxma6ISBjGb7GQ92a-lVxQWNbyZClgveJMQ-d0ZmjCKhhRWM6g0RImLydTijFYftjpPKtrTYzhLDm38Y9ASKNPkuRbBTnTAz4QXV6", "id": "rs_0c76e56576ffc0fb016a06ee1bdca881919ed0f49f762d6860", "summary": [ { "type": "summary_text", "text": "**Appending tests and issues**\n\nI'm considering how to append tests. I need to think about the seed_review duplicate dry-1 issue, especially if there are multiple entries in the same connection. For the filters, maybe I should use the run function in conjunction with files. It seems like appending everything could help streamline the process. Alright, I’ll keep these details in mind as I move forward!" } ] } ], "tool_calls": [ { "id": "call_Kb56nhcnn6TccQdh9QfjuRIk", "call_id": "call_Kb56nhcnn6TccQdh9QfjuRIk", "response_item_id": "fc_0c76e56576ffc0fb016a06ee1ddca881919de4edce69f35603", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\":\"\\n\\ndef test_b4_review_queue_filters_by_source_dry_run_and_quality_flag(tmp_path: Path) -> None:\\n c = conn()\\n p1 = tmp_path / \\\"pf.docx\\\"; _docx(p1, [[\\\"Produkt\\\", \\\"Menge\\\", \\\"Währung\\\"], [\\\"ETF A\\\", \\\"Menge\\\", \\\"CHF\\\"]])\\n p2 = tmp_path / \\\"tw.docx\\\"; _docx(p2, [[\\\"Position\\\", \\\"Währung\\\"], [\\\"ETF B\\\", \\\"USD\\\"]])\\n s1 = run_broker_import_dry_run(c, parse_postfinance_docx(p1), source_filename=p1.name)\\n s2 = run_broker_import_dry_run(c, parse_true_wealth_docx(p2), source_filename=p2.name)\\n assert len(get_broker_review_items(c, source_platform=\\\"PostFinance\\\")) == 1\\n assert len(get_broker_review_items(c, dry_run_id=s2[\\\"dry_run_id\\\"])) == 1\\n assert len(get_broker_review_items(c, quality_flag=\\\"missing_fx\\\")) == 1\\n\\n\\ndef test_b4_isin_ticker_exchange_updates_write_audit_and_name_only_not_mapped() -> None:\\n c = conn(); item = seed_review_item(c)\\n update_review_item_isin(c, review_item_id=item, isin=\\\"CH0000000001\\\", note=\\\"synthetic isin\\\")\\n update_review_item_ticker_exchange(c, review_item_id=item, ticker=\\\"METF\\\", note=\\\"synthetic ticker\\\")\\n row = c.execute(\\\"SELECT * FROM broker_import_review_items WHERE review_item_id=?\\\", (item,)).fetchone()\\n assert row[\\\"isin\\\"] == \\\"CH0000000001\\\"\\n assert row[\\\"ticker\\\"] == \\\"METF\\\"\\n assert \\\"missing_isin\\\" not in row[\\\"quality_flags_json\\\"]\\n assert row[\\\"review_status\\\"] == \\\"open\\\"\\n assert c.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE entity_id=?\\\", (item,)).fetchone()[\\\"n\\\"] == 2\\n\\n\\ndef test_b4_ticker_without_exchange_stays_review_needed() -> None:\\n c = conn(); item = seed_review_item(c)\\n update_review_item_ticker_exchange(c, review_item_id=item, ticker=\\\"METF\\\", note=\\\"ticker only\\\")\\n row = c.execute(\\\"SELECT import_readiness_status, quality_flags_json FROM broker_import_review_items WHERE review_item_id=?\\\", (item,)).fetchone()\\n assert row[\\\"import_readiness_status\\\"] in {\\\"not_ready\\\", \\\"review_needed\\\"}\\n assert \\\"ticker_without_exchange\\\" in row[\\\"quality_flags_json\\\"]\\n\\n\\ndef test_b4_instrument_mapping_with_isin_can_be_ready_for_import_for_equity() -> None:\\n c = conn(); seed_instrument(c, asset_class=\\\"equity\\\"); seed_accounts(c); item = seed_review_item(c, asset_class=\\\"equity\\\")\\n update_review_item_isin(c, review_item_id=item, isin=\\\"CH0000000001\\\", note=\\\"isin\\\")\\n confirm_review_item_account_mapping(c, review_item_id=item, account_id=\\\"acct-broker\\\", note=\\\"account\\\")\\n confirm_review_item_snapshot_date(c, review_item_id=item, note=\\\"snapshot confirmed\\\")\\n confirm_review_item_instrument_mapping(c, review_item_id=item, instrument_id=\\\"inst-1\\\", note=\\\"instrument\\\")\\n row = c.execute(\\\"SELECT import_readiness_status FROM broker_import_review_items WHERE review_item_id=?\\\", (item,)).fetchone()\\n assert row[\\\"import_readiness_status\\\"] == \\\"ready_for_import\\\"\\n\\n\\ndef test_b4_ready_for_import_for_etf_and_account_mapping_audit() -> None:\\n c = conn(); seed_instrument(c); seed_accounts(c); item = seed_review_item(c, asset_class=\\\"etf\\\")\\n update_review_item_isin(c, review_item_id=item, isin=\\\"CH0000000001\\\", note=\\\"isin\\\")\\n audit = confirm_review_item_account_mapping(c, review_item_id=item, account_id=\\\"acct-broker\\\", note=\\\"account\\\")\\n confirm_review_item_snapshot_date(c, review_item_id=item, note=\\\"snapshot\\\")\\n confirm_review_item_instrument_mapping(c, review_item_id=item, instrument_id=\\\"inst-1\\\", note=\\\"instrument\\\")\\n assert audit\\n assert c.execute(\\\"SELECT import_readiness_status FROM broker_import_review_items WHERE review_item_id=?\\\", (item,)).fetchone()[\\\"import_readiness_status\\\"] == \\\"ready_for_import\\\"\\n\\n\\ndef test_b4_ready_for_import_for_cash() -> None:\\n c = conn(); seed_accounts(c); item = seed_review_item(c, asset_class=\\\"cash\\\", flags=[\\\"cash_snapshot_candidate\\\"], quantity=False, market_value=True)\\n confirm_review_item_account_mapping(c, review_item_id=item, account_id=\\\"acct-cash\\\", note=\\\"cash account\\\")\\n confirm_review_item_snapshot_date(c, review_item_id=item, note=\\\"snapshot\\\")\\n # cash has no instrument mapping; reviewer confirmation is modelled by explicit metadata confirmation here\\n c.execute(\\\"UPDATE broker_import_review_items SET reviewer_confirmed=1 WHERE review_item_id=?\\\", (item,))\\n from jarvis_finance.imports.broker_mapping import refresh_review_item_readiness\\n assert refresh_review_item_readiness(c, item) == \\\"ready_for_import\\\"\\n\\n\\ndef test_b4_ignore_requires_note_and_mark_resolved_requires_ready() -> None:\\n c = conn(); item = seed_review_item(c)\\n try:\\n ignore_review_item(c, review_item_id=item, note=\\\"\\\")\\n except ValueError:\\n pass\\n else:\\n raise AssertionError(\\\"ignore without note accepted\\\")\\n ignored_audit = ignore_review_item(c, review_item_id=item, note=\\\"synthetic ignore\\\")\\n assert ignored_audit\\n item2 = seed_review_item(c, source=\\\"True Wealth\\\")\\n try:\\n mark_review_item_resolved(c, review_item_id=item2, note=\\\"too early\\\")\\n except ValueError:\\n pass\\n else:\\n raise AssertionError(\\\"resolved before ready accepted\\\")\\n\\n\\ndef test_b4_aggregate_only_remains_blocked_for_instrument_import() -> None:\\n c = conn(); item = seed_review_item(c, source=\\\"Raiffeisen\\\", asset_class=\\\"other\\\", flags=[\\\"aggregate_only\\\", \\\"missing_instrument_details\\\"], status=\\\"blocked\\\")\\n row = c.execute(\\\"SELECT import_readiness_status, review_status FROM broker_import_review_items WHERE review_item_id=?\\\", (item,)).fetchone()\\n from jarvis_finance.imports.broker_mapping import refresh_review_item_readiness\\n assert refresh_review_item_readiness(c, item) == \\\"blocked\\\"\\n\\n\\ndef test_b4_dry_run_session_archive_discard_current_writes_audit(tmp_path: Path) -> None:\\n c = conn()\\n p = tmp_path / \\\"pf.docx\\\"; _docx(p, [[\\\"Produkt\\\", \\\"Menge\\\", \\\"Währung\\\"], [\\\"ETF A\\\", \\\"Menge\\\", \\\"CHF\\\"]])\\n summary = run_broker_import_dry_run(c, parse_postfinance_docx(p), source_filename=p.name)\\n update_dry_run_session_status(c, dry_run_id=summary[\\\"dry_run_id\\\"], action=\\\"mark_current\\\", note=\\\"current\\\")\\n update_dry_run_session_status(c, dry_run_id=summary[\\\"dry_run_id\\\"], action=\\\"archive\\\", note=\\\"archive\\\")\\n sessions = get_dry_run_sessions(c)\\n assert sessions[0][\\\"session_status\\\"] == \\\"archived\\\"\\n assert c.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE entity_id=?\\\", (summary[\\\"dry_run_id\\\"],)).fetchone()[\\\"n\\\"] == 2\\n\\n\\ndef test_b4_data_quality_readiness_counts_and_productive_import_disabled() -> None:\\n c = conn(); item = seed_review_item(c)\\n rows = {r[\\\"check\\\"]: r[\\\"count\\\"] for r in dashboard_data.get_data_quality(c)}\\n assert \\\"Review Readiness: not_ready\\\" in rows\\n assert assert_productive_import_disabled() is True\\n assert c.execute(\\\"SELECT COUNT(*) AS n FROM positions_snapshot\\\").fetchone()[\\\"n\\\"] == 0\\n\",\"path\":\"/tmp/b4_tests_append.py\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 6592, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Kb56nhcnn6TccQdh9QfjuRIk" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_y3awjy4KrmzjhbxWwlzDG2Z7", "call_id": "call_y3awjy4KrmzjhbxWwlzDG2Z7", "response_item_id": "fc_0c76e56576ffc0fb016a06ee429fc48191a96d1afdb62bfe7e", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && cat /tmp/b4_tests_append.py >> tests/unit/test_broker_parser_dry_run_pipeline.py && PYTHONPATH=src pytest tests/unit/test_broker_parser_dry_run_pipeline.py tests/unit/test_schema.py -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \".................F....... [100%]\\n=================================== FAILURES ===================================\\n________ test_b4_ignore_requires_note_and_mark_resolved_requires_ready _________\\n\\n def test_b4_ignore_requires_note_and_mark_resolved_requires_ready() -> None:\\n c = conn(); item = seed_review_item(c)\\n try:\\n ignore_review_item(c, review_item_id=item, note=\\\"\\\")\\n except ValueError:\\n pass\\n else:\\n raise AssertionError(\\\"ignore without note accepted\\\")\\n ignored_audit = ignore_review_item(c, review_item_id=item, note=\\\"synthetic ignore\\\")\\n assert ignored_audit\\n> item2 = seed_review_item(c, source=\\\"True Wealth\\\")\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_broker_parser_dry_run_pipeline.py:270: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nc = \\n\\n def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n> c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\\nE sqlite3.IntegrityError: UNIQUE constraint failed: broker_import_dry_runs.dry_run_id\\n\\ntests/unit/test_broker_parser_dry_run_pipeline.py:77: IntegrityError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_broker_parser_dry_run_pipeline.py::test_b4_ignore_requires_note_and_mark_resolved_requires_ready\\n1 failed, 24 passed in 0.26s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_y3awjy4KrmzjhbxWwlzDG2Z7" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu5MShSmDRm3xJDhSWBGrxb-hn9-pqOzyiZgKoFiPROdeQtneNQDqX0OG_LF6z5roNoMPMlgs8WXdcCTy44CB3Y_UV_xzzAdfBGP8UwTi025bDPiYXMsK0DXq3FVCSP1r2NKR7a7f2TaroYdZy5A_o-9wQIW8rl_cMGy2FWj0tJzXBklMqsGKwB2Ae-inI69EL5eZSbJ14onpJY8sOZvM046TQY-X-K_7JqRQi1xSlvy_WBoNi0B8lwqRoKFQRNe9xUhC-848BXV9rPc1lZ1HJLh27aW6xVTsUph1Aby1sPE111nMH7md6tgA4z1VOh0lu-dS6FvhoIEd1oRNgIrTU0MVVObC_bATIZS5RNxA1DdanQxR9_gy5Os5tS2DgIOBKkQTRrnjbQzDYlVnVclVulquQnAu2jSEDztGfQxdWsyDvB22Pd1FgwEcBT-uHVSzXkFxgDREY0fPnTDzcpqjOkx3IugfMsJ2nSH_I4HTuLIcKIRghdro_5QlOgS5EMYBMMCnqfoV3rSpjb1-JOLk4XaZSMFg-Jp2x_Wf5W9lJTQfxuLK2LegPdFmANojM5q7AK-wthf229_SHiqB2di8UhnMWKv8dpQRdqKrcwNepqzQMM45WEn_y46MJYI8bFK8YzBrTuyw-jaIqD9Ai2neoVjAgIYdvzhJERMpS137MUe0l7pcYitfnNVSqQmiwEuTqUfjFM3XdwXYFiQ5w0lUxyWs8xIRmFdbv89AbtoyM0kB1xEvnd8OKY51CouZloXrxooeF1kbYf5chzpXRkLM7CxWMX97eNV58yB0wR9nTUkViimhTDqeKEbnBFFB_rn9bNsi4a94AUOI8XTh-bSjStHxr8HrJkNCpAdSk93r22Kkh7NLJqAZDuUp831lTLXn6o9kNrGIZF6fS4EIutQL1P-fmbkoLOmevNuIcpD6FjcbCl33FKGt3x88dkImztJuqImWIr-93w34ZeF7BIbUnbAxw==", "id": "rs_0c76e56576ffc0fb016a06ee4a04e0819185eb49dbcf08fb98", "summary": [] } ], "tool_calls": [ { "id": "call_wV4Q5cbdfnPDy4HjVtvm5LJ8", "call_id": "call_wV4Q5cbdfnPDy4HjVtvm5LJ8", "response_item_id": "fc_0c76e56576ffc0fb016a06ee4c1c448191b506ea659763d2e7", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"import zipfile\\nimport uuid\\nfrom pathlib import Path\",\"old_string\":\"import zipfile\\nfrom pathlib import Path\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n@@ -1,6 +1,7 @@\\n from __future__ import annotations\\n \\n import zipfile\\n+import uuid\\n from pathlib import Path\\n \\n from jarvis_finance.dashboard import data as dashboard_data\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py was modified since you last read it on disk (external edit or unrecorded writer). Re-read the file before writing.\"}", "tool_call_id": "call_wV4Q5cbdfnPDy4HjVtvm5LJ8" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_klsUd9FN6zg3yFpT3kNve7LY", "call_id": "call_klsUd9FN6zg3yFpT3kNve7LY", "response_item_id": "fc_0c76e56576ffc0fb016a06ee52377081919eb37e896ed4d7ea", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n dry_id = f\\\"dry-{uuid.uuid4()}\\\"\\n c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES (?, ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (dry_id, source, source, utc_now()))\\n return create_broker_import_review_item(c, dry_run_id=dry_id, source_platform=source, source_file_type='docx', source_row_ref='row-1', source_label='Synthetic Label', detected_asset_class=asset_class, detected_currency=currency, detected_quantity_present=quantity, detected_market_value_present=market_value, quality_flags=flags or ['missing_isin', 'missing_ticker', 'snapshot_only', 'cost_basis_uncertain'], review_status=status)\\n\",\"old_string\":\"def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\\n return create_broker_import_review_item(c, dry_run_id='dry-1', source_platform=source, source_file_type='docx', source_row_ref='row-1', source_label='Synthetic Label', detected_asset_class=asset_class, detected_currency=currency, detected_quantity_present=quantity, detected_market_value_present=market_value, quality_flags=flags or ['missing_isin', 'missing_ticker', 'snapshot_only', 'cost_basis_uncertain'], review_status=status)\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\\n@@ -75,8 +75,9 @@\\n \\n \\n def seed_review_item(c, *, source='PostFinance', asset_class='etf', currency='CHF', flags=None, quantity=True, market_value=True, status='open'):\\n- c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES ('dry-1', ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (source, source, utc_now()))\\n- return create_broker_import_review_item(c, dry_run_id='dry-1', source_platform=source, source_file_type='docx', source_row_ref='row-1', source_label='Synthetic Label', detected_asset_class=asset_class, detected_currency=currency, detected_quantity_present=quantity, detected_market_value_present=market_value, quality_flags=flags or ['missing_isin', 'missing_ticker', 'snapshot_only', 'cost_basis_uncertain'], review_status=status)\\n+ dry_id = f\\\"dry-{uuid.uuid4()}\\\"\\n+ c.execute(\\\"INSERT INTO broker_import_dry_runs(dry_run_id, source_name, source_platform, source_file_label, source_file_type, source_hash, source_filename_hash, detected_sections_json, rows_total, quality_flags_json, summary_json, created_at, snapshot_date_status) VALUES (?, ?, ?, '[redacted]', 'docx', 'h', 'h', '[]', 1, '{}', '{}', ?, 'missing')\\\", (dry_id, source, source, utc_now()))\\n+ return create_broker_import_review_item(c, dry_run_id=dry_id, source_platform=source, source_file_type='docx', source_row_ref='row-1', source_label='Synthetic Label', detected_asset_class=asset_class, detected_currency=currency, detected_quantity_present=quantity, detected_market_value_present=market_value, quality_flags=flags or ['missing_isin', 'missing_ticker', 'snapshot_only', 'cost_basis_uncertain'], review_status=status)\\n \\n \\n def test_synthetic_postfinance_parser_recognizes_candidates_and_quality_flags(tmp_path: Path) -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_broker_parser_dry_run_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_klsUd9FN6zg3yFpT3kNve7LY" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_CIRW4Hnn11qpN8ZtLySwFg6t", "call_id": "call_CIRW4Hnn11qpN8ZtLySwFg6t", "response_item_id": "fc_0c76e56576ffc0fb016a06ee661fe08191a0fae4b90c3b23f9", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src pytest tests/unit/test_broker_parser_dry_run_pipeline.py tests/unit/test_schema.py -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"......................... [100%]\\n25 passed in 0.22s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_CIRW4Hnn11qpN8ZtLySwFg6t" }, { "role": "assistant", "content": "", "reasoning": "**Testing migration issues**\n\nI need to test whether the old `confirm_review_item_mapping` is failing due to new columns. It seems `create_review_item` doesn't set readiness, which might affect aggregate tests. I should verify that the runtime applies migration and check status counts. There's also a chance the migration version is bumped, but the existing schema lacks session columns. I have to run the migration, but first, I need to compile everything to ensure readiness.", "finish_reason": "tool_calls", "reasoning_content": "**Testing migration issues**\n\nI need to test whether the old `confirm_review_item_mapping` is failing due to new columns. It seems `create_review_item` doesn't set readiness, which might affect aggregate tests. I should verify that the runtime applies migration and check status counts. There's also a chance the migration version is bumped, but the existing schema lacks session columns. I have to run the migration, but first, I need to compile everything to ensure readiness.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu5ud4AgsW7mQEb1OmgUnL1vDPchxxFPg3apLriau3n_6ka6cvLatdutAvCcgtNSEeVaAUDaD_Ye8P22s4I88B0Op3GXbEu_Gzg6DjhX5fUBBD0RnpsPnNJRh5vcdLLkM-IfS1UAgJY8XLSdxFaJZuhWNAMoxmcOR0FxVcfzPmJCmw-1PvzrY1YPwhYSrbcDp8oi5t3osy4tH4j4v9I11wIyUNMGS4_CtA9R5MsmxK_k_cE2hDniKmZp6_--xaQ_7hVAfKpHJdB-QrHZPI_zwVXFDagTOHA-1u4INPocd6YONdctd8VL0WcRgBnvCuvJYusC5DbY0t4Td3rqGmYsGTJ0OnNOV-OsjY6QotRehav1Zn5hdlfYzyB1ZueUauC6uir6zk_tv8UMT6EoY02N8GQTHsBvUneIzZgFh5pYJepSDHaJiIIKjQaVIJw3wPD5WVxxY58hXKzR-ktlYpeLUm_EHbUYIonxR_sHHwvZZWbVMvXuRRcNtWkxi6MlYfapZ6sDl-2Y7jZS5393mmUjRcuTn9xvam88YHAXpByUyM6Yt-9cR0ghbEIzvpEEd-mV0RkzuDPDmdIlq-80F2CIK-WOblO0RZ81ubXVHpQcOCO_RnX1OGR5TNg0_gnEepuO5gkBe-SKOLL40ClC49frrSy6KxPPUAt9lN-rBYPi9NUEb4Ihzx3gL6u2B46_zopO_A25tcLf-L6Dn_6MCUabRSQdMXJmOjYU0lerlemYrrwCcCwR4cZlZNY8w2oAUDsTMa1HbDzZ_WZUCcI1NxRbclwq1lUjzuqKxGEp-PtyFgSxatu8RS3lNle4CKropJ0mbPOt0xFNnNgzi3_YMF9ppjazVvhsySEKHmxMBQcrrNjOpwIqd3AHQy5xMuf8ImTWDzz7-KHBctlkpgo71o-FJ1vjkHnuDr20l9Jh0OwbHRzESsht0wRPby_z2q4-DM5ZqCtNolOvu4LuZvRiS7NluBjb825a3dNtWUNO6qGFLOlMCWGY6o4yCu5OI828mAyHDmd0R71NMf26VYdmV2wyxQsy5K7eIi6_S93_isq3BM50jzvOuEswYY2jby5J4xXYZb7F9ABU3X4cJjw5__bEl9e8PlHzFFu5cKcmwKyqwZo9P8ZwTXkxeTriaZKlwEOzXrkzsayzuoUQQ6lX8vsZZH4y3-cbr1AJIOCu8rRnFXOYBaDoa64sbtgiqjfODHbHwYQlmeC_UPeHu_KaCUKRHT0UHj4uS0f6nZNj3WY3egXhOeblZb_f_LS6vA5bCTUkaCqjOOrp_COF5-tYCYsEL8cPVkU_n_avIdhaxkqkwes96JALiIX9doj2_GKd8pHK0yQhjtbsgnQDXDDLktNg8hE7Lvhd4nFuL2tbTO_rh7MpALOhxvPGpl7Pofomg5c3v24lA4zYAs8mAdfMj3D-PlySPw==", "id": "rs_0c76e56576ffc0fb016a06ee6b1a488191a022b4cfccee2f94", "summary": [ { "type": "summary_text", "text": "**Testing migration issues**\n\nI need to test whether the old `confirm_review_item_mapping` is failing due to new columns. It seems `create_review_item` doesn't set readiness, which might affect aggregate tests. I should verify that the runtime applies migration and check status counts. There's also a chance the migration version is bumped, but the existing schema lacks session columns. I have to run the migration, but first, I need to compile everything to ensure readiness." } ] } ], "tool_calls": [ { "id": "call_LoPYrtOhH2iTCQWxexpUhO4C", "call_id": "call_LoPYrtOhH2iTCQWxexpUhO4C", "response_item_id": "fc_0c76e56576ffc0fb016a06ee6eb0308191bd098097e0bed0af", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Code-Struktur Review Queue/Dry Run/Data Quality/Audit inspizieren\",\"id\":\"b4-1\",\"status\":\"completed\"},{\"content\":\"B4 Schema/Mapping-Actions/Readiness/Session Management implementieren\",\"id\":\"b4-2\",\"status\":\"completed\"},{\"content\":\"Dashboard Seiten Filter/Details/Data Quality/Safe Mode erweitern\",\"id\":\"b4-3\",\"status\":\"completed\"},{\"content\":\"Tests für B4 ergänzen und produktive Daten-Unverändertheit prüfen\",\"id\":\"b4-4\",\"status\":\"in_progress\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b4-1\", \"content\": \"Code-Struktur Review Queue/Dry Run/Data Quality/Audit inspizieren\", \"status\": \"completed\"}, {\"id\": \"b4-2\", \"content\": \"B4 Schema/Mapping-Actions/Readiness/Session Management implementieren\", \"status\": \"completed\"}, {\"id\": \"b4-3\", \"content\": \"Dashboard Seiten Filter/Details/Data Quality/Safe Mode erweitern\", \"status\": \"completed\"}, {\"id\": \"b4-4\", \"content\": \"Tests für B4 ergänzen und produktive Daten-Unverändertheit prüfen\", \"status\": \"in_progress\"}, {\"id\": \"b4-5\", \"content\": \"Compile, pytest, Git-Safety, Commit und Push\", \"status\": \"pending\"}], \"summary\": {\"total\": 5, \"pending\": 1, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_LoPYrtOhH2iTCQWxexpUhO4C" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_SzI5BNUUDfbB1FbDikieWBJ8", "call_id": "call_SzI5BNUUDfbB1FbDikieWBJ8", "response_item_id": "fc_0c76e56576ffc0fb016a06ee71dfbc8191977abe6835501547", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m jarvis_finance.cli.main migrate\\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.broker_mapping import refresh_review_item_readiness, get_ready_for_import_by_source\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nfor row in conn.execute('SELECT review_item_id FROM broker_import_review_items').fetchall():\\n refresh_review_item_readiness(conn, row['review_item_id'])\\nconn.commit()\\nstatus_counts={}\\nfor row in conn.execute('SELECT source_platform, review_status, import_readiness_status, COUNT(*) AS n FROM broker_import_review_items GROUP BY source_platform, review_status, import_readiness_status').fetchall():\\n status_counts.setdefault(row['source_platform'], []).append({'status':row['review_status'],'readiness':row['import_readiness_status'],'count':row['n']})\\nproductive={t: conn.execute(f'SELECT COUNT(*) AS n FROM {t}').fetchone()['n'] for t in ['positions_snapshot','transactions']}\\nprint(json.dumps({'status_counts':status_counts,'ready_by_source':get_ready_for_import_by_source(conn),'productive_counts':productive}, sort_keys=True))\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"SCHEMA_VERSION=6\\n{\\\"productive_counts\\\": {\\\"positions_snapshot\\\": 0, \\\"transactions\\\": 0}, \\\"ready_by_source\\\": [{\\\"ready_for_import\\\": \\\"0\\\", \\\"source_platform\\\": \\\"PostFinance\\\", \\\"total\\\": \\\"34\\\"}, {\\\"ready_for_import\\\": \\\"0\\\", \\\"source_platform\\\": \\\"Raiffeisen\\\", \\\"total\\\": \\\"7\\\"}, {\\\"ready_for_import\\\": \\\"0\\\", \\\"source_platform\\\": \\\"True Wealth\\\", \\\"total\\\": \\\"18\\\"}], \\\"status_counts\\\": {\\\"PostFinance\\\": [{\\\"count\\\": 33, \\\"readiness\\\": \\\"not_ready\\\", \\\"status\\\": \\\"open\\\"}, {\\\"count\\\": 1, \\\"readiness\\\": \\\"review_needed\\\", \\\"status\\\": \\\"open\\\"}], \\\"Raiffeisen\\\": [{\\\"count\\\": 4, \\\"readiness\\\": \\\"blocked\\\", \\\"status\\\": \\\"blocked\\\"}, {\\\"count\\\": 3, \\\"readiness\\\": \\\"review_needed\\\", \\\"status\\\": \\\"open\\\"}], \\\"True Wealth\\\": [{\\\"count\\\": 17, \\\"readiness\\\": \\\"not_ready\\\", \\\"status\\\": \\\"open\\\"}, {\\\"count\\\": 1, \\\"readiness\\\": \\\"review_needed\\\", \\\"status\\\": \\\"open\\\"}]}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_SzI5BNUUDfbB1FbDikieWBJ8" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu5-BKgg3n0useNYr_ULN56eBaHgc4fk7nIjisEsalNxKUySK39mqeRdPVb6SM2iY2BTMmZdj9_rJNXyLNGT2VTO7LReUvELugNYligjaKYrX1vmJAjMMLjJ4fAa0JxbXLv6oP8KnSJA86Z5XDlLfpyYKeAkkTUzEAs5zkI8MnqodbHsvSUPdKb-z8mIv5i63UDYEQfRtjtLVqjyD72INN_G0hxiQjjRl4Z1KqZvbuBQ0C1xBdR7IiHIthvLLAWyFOpvcaLr3HjuoFizwp95sacIi7oETks56HTEhnTgRm4sZgNPwZDnGL6ChwJqZvPgOTMwO-AnidHPofukZbI35sJn6Z26xOznitcEQdZK4ClNFNzNfK-VlgksMoyEkx9sIC6t92B36GEHig3EfDPTMO9ej9N_Mu87l6cUR00itggZjDu1JEj0rgnb2djdM-8THiHxqajdenCNA4ijYsgx_LArTw_VCpwKkSGpJOzme08U6P_i-OYp-WpKrdkkbGX5SyG73pfaRBkvb2BaLtB1Tq5SqJmqpECM4rrtS-OcZxT4SNXpOpP9xw3U-NEJJUXxALlG1xFE1LfVrBGbvJiFdZ0pn-dUe7gli0ntRKfCOYObbSu6wTgmpqaB-tJZnPTnTY3bgoTeha0tzvadNKwS43smAYBHwo-40V6AMCVQyOGObkR1WbZg1wvMtFnbYzE5vVcpjGRqKxaEUZj5_K8IZiNUmb6WXTeYlXY3jXgwrxWr0TDVivqeSUWZ3SJGVr7h_75tFk5Fa3uKGwgpjmGf6TvvmIuWMpNyfsfp6IxvvsuOC5uFbCt3Xz4R4r-rZCC_jjHrSdf0vSiiKS8lGs8Feav0EVc9HJCqkhIMoB8LzCNdGqefA8nUN8Bnu5HodCFXF_VOiNu8zg7emugWMUb2LJuJ4dqaescGEE8ApyBt-w9EBjtuzg1o03uxgzhclwZa-Oa8ExfLjUN2JyJIE7fYVPeRCYTbceC5pnp5rssLnB69OrhT3VYHII4tlvCa81Nkq0S1", "id": "rs_0c76e56576ffc0fb016a06ee7d6ed081918a787e753c2d3da1", "summary": [] } ], "tool_calls": [ { "id": "call_sEdHW48rDWPw347vbiTRwSLf", "call_id": "call_sEdHW48rDWPw347vbiTRwSLf", "response_item_id": "fc_0c76e56576ffc0fb016a06ee7e34788191b40052ccd3d5b962", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Tests für B4 ergänzen und produktive Daten-Unverändertheit prüfen\",\"id\":\"b4-4\",\"status\":\"completed\"},{\"content\":\"Compile, pytest, Git-Safety, Commit und Push\",\"id\":\"b4-5\",\"status\":\"in_progress\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b4-1\", \"content\": \"Code-Struktur Review Queue/Dry Run/Data Quality/Audit inspizieren\", \"status\": \"completed\"}, {\"id\": \"b4-2\", \"content\": \"B4 Schema/Mapping-Actions/Readiness/Session Management implementieren\", \"status\": \"completed\"}, {\"id\": \"b4-3\", \"content\": \"Dashboard Seiten Filter/Details/Data Quality/Safe Mode erweitern\", \"status\": \"completed\"}, {\"id\": \"b4-4\", \"content\": \"Tests für B4 ergänzen und produktive Daten-Unverändertheit prüfen\", \"status\": \"completed\"}, {\"id\": \"b4-5\", \"content\": \"Compile, pytest, Git-Safety, Commit und Push\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 1, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_sEdHW48rDWPw347vbiTRwSLf" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_EtxUdHbRSr0gHyeS0V2rRpu7", "call_id": "call_EtxUdHbRSr0gHyeS0V2rRpu7", "response_item_id": "fc_0c76e56576ffc0fb016a06ee828294819198aed78ac255fad0", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \".........F.............................................................. [ 46%]\\n........................................................................ [ 92%]\\n........... [100%]\\n=================================== FAILURES ===================================\\n__ test_import_wizard_manual_review_and_data_quality_pages_import_and_render ___\\n\\n def test_import_wizard_manual_review_and_data_quality_pages_import_and_render() -> None:\\n c = conn()\\n create_instrument_mapping(c, source_platform=\\\"PostFinance\\\", source_label=\\\"Unknown ETF\\\", asset_class=\\\"etf\\\", currency=\\\"USD\\\")\\n st = FakeStreamlit()\\n for module in [page_14_import_wizard, page_15_manual_review_queue, page_16_data_quality_center]:\\n> module.render(st, c)\\n\\ntests/unit/test_broker_mapping_import_wizard.py:122: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nst = \\nconn = \\n\\n def render(st, conn) -> None:\\n st.title(\\\"Manual Review Queue\\\")\\n st.caption(\\\"Phase B4: Runtime-Review-Metadaten bearbeiten; Portfolio-/Ledger-/Snapshot-Writes bleiben blockiert.\\\")\\n \\n sessions = data.get_broker_dry_runs(conn, limit=100)\\n dry_run_ids = [s[\\\"dry_run_id\\\"] for s in sessions if s.get(\\\"dry_run_id\\\")]\\n \\n st.subheader(\\\"Filter\\\")\\n c1, c2, c3 = st.columns(3)\\n with c1:\\n source = _none_if_all(st.selectbox(\\\"Quelle\\\", [\\\"Alle\\\", \\\"PostFinance\\\", \\\"True Wealth\\\", \\\"Raiffeisen\\\"]))\\n status = _none_if_all(st.selectbox(\\\"Status\\\", [\\\"Alle\\\", \\\"open\\\", \\\"blocked\\\", \\\"mapped\\\", \\\"ignored\\\", \\\"resolved\\\"]))\\n asset_class = _none_if_all(st.selectbox(\\\"Assetklasse\\\", [\\\"Alle\\\", \\\"equity\\\", \\\"etf\\\", \\\"cash\\\", \\\"other\\\"]))\\n with c2:\\n dry_run_id = _none_if_all(st.selectbox(\\\"Dry Run Session\\\", [\\\"Alle\\\", *dry_run_ids]))\\n quality_flag = _none_if_all(st.selectbox(\\\"Quality Flag\\\", [\\\"Alle\\\", *QUALITY_FLAGS]))\\n> currency = st.text_input(\\\"Währung\\\", value=\\\"\\\").strip().upper() or None\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\nE AttributeError: 'NoneType' object has no attribute 'strip'\\n\\nsrc/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py:35: AttributeError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_broker_mapping_import_wizard.py::test_import_wizard_manual_review_and_data_quality_pages_import_and_render\\n1 failed, 154 passed in 5.00s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_EtxUdHbRSr0gHyeS0V2rRpu7" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu6OwKiz26_ZXtEa1de_GLAG3kybNCH0HH8hAEYTAXZtU_sBPyyGOpHLIrewg8lzVKZTn47m4kZQP3NQpoZtD8WTRh_N3iExRB4RO8-EpxquTaIApAJms4iVpXWo_7fP7mIqAQv_2dXBCSjwH1WRlfwPO_ZDgcRzbdh8zwNsPmb5WOQ3f65RklnE6JrSzpEnQKWJJ5xsVT9skSZfK6Ghl0QmE8R-RMVMCosIwGD6HyiIXk_KG9eiqLYYLdYyUor5GBgDlSHDjYxmJ_CDu3m2b5CdDUPZqks2N6fCkWaga6hzm9yJZH5PDkkZ_0RBbr7Nee4sL7g03EswbJASaXc50_pYM_VYP_H68Mc8M5fpghFEeNiE7H-GNfjAuETG8-XhPUj0le2BJXOfq3XOK4CHYAj68-Jfz2UbeWzbqo4Wbqeh3Lk83yFY9AHuAavwl8aC6f7HzUYqUwdPJRPdNV9NWyH01t6G6pbpSzJ7HgLuOULpprkUoFHdiBV5gHvPfTMX6ysvFS-xy9NkpUkydw6qtkwnB-hqmRIh2rVSQysKNPKIX3ztQLIe85hWWglZ_2xC8sFF8hqBO2W7CV5nMPs9n-hPB4MuKlGBIlHKoqyoLpZWgCc9OZzPuPv5SQ85trNN1swmG9jG4TM8euT8jvsUF6kod89_WoIzD8oQ7sgMOWsK-sT4sToD3ASZl2I4R-6NY5tTzOK2u78ksTxw-l37YvN1cI9IZsSaGJ_V0P65ZgjI50xHNXnY_JZAF8yOCFvacasG4COg6L18DjY7Ye54RRkD5yWUWmmQv7sqXGtkAfJLE1HzDZQLuepg05qky6PDuD51xzQrYpTItJ1GM0KV4_wypOuYhgtEOfDPWczcLCAFPuvPgF8-4XE5reD55s6KpMB46_Z2rJOxWBcpoN-xsOuHPh6WOKu1IRcvPqC7JqtSxQthb3hQOuOm0lpq2xOcDaEtRFXnG6wgWc7S9oczKL3mFx2BDb02RpJQ8ietyLqspeQ=", "id": "rs_0c76e56576ffc0fb016a06ee8d9f8481918dc155b458f54ce4", "summary": [] } ], "tool_calls": [ { "id": "call_ap72sLQ5iVoZCfbWPutJ8MXK", "call_id": "call_ap72sLQ5iVoZCfbWPutJ8MXK", "response_item_id": "fc_0c76e56576ffc0fb016a06ee8e7d988191b61417e2c7071697", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" currency_value = st.text_input(\\\"Währung\\\", value=\\\"\\\")\\n currency = (currency_value or \\\"\\\").strip().upper() or None\",\"old_string\":\" currency = st.text_input(\\\"Währung\\\", value=\\\"\\\").strip().upper() or None\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\\n@@ -32,7 +32,8 @@\\n with c2:\\n dry_run_id = _none_if_all(st.selectbox(\\\"Dry Run Session\\\", [\\\"Alle\\\", *dry_run_ids]))\\n quality_flag = _none_if_all(st.selectbox(\\\"Quality Flag\\\", [\\\"Alle\\\", *QUALITY_FLAGS]))\\n- currency = st.text_input(\\\"Währung\\\", value=\\\"\\\").strip().upper() or None\\n+ currency_value = st.text_input(\\\"Währung\\\", value=\\\"\\\")\\n+ currency = (currency_value or \\\"\\\").strip().upper() or None\\n with c3:\\n account_mapping_status = _none_if_all(st.selectbox(\\\"Account Mapping\\\", [\\\"Alle\\\", \\\"missing\\\", \\\"mapped\\\"]))\\n readiness = _none_if_all(st.selectbox(\\\"Import Readiness\\\", [\\\"Alle\\\", \\\"not_ready\\\", \\\"review_needed\\\", \\\"ready_for_import\\\", \\\"ignored\\\", \\\"blocked\\\"]))\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ap72sLQ5iVoZCfbWPutJ8MXK" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_kd9Bg5s9zeVFljPFevEj8tW7", "call_id": "call_kd9Bg5s9zeVFljPFevEj8tW7", "response_item_id": "fc_0c76e56576ffc0fb016a06ee9470148191b3d2c97147546189", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\nrm -rf .pytest_cache src/jarvis_finance/**/__pycache__ tests/**/__pycache__\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"........................................................................ [ 46%]\\n........................................................................ [ 92%]\\n........... [100%]\\n155 passed in 4.87s\\nGIT_SAFETY_OK\\n## main...origin/main\\n M src/jarvis_finance/dashboard/data.py\\n M src/jarvis_finance/dashboard/pages/page_14_import_wizard.py\\n M src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py\\n M src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\\n M src/jarvis_finance/imports/broker_mapping.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_broker_parser_dry_run_pipeline.py\\n M tests/unit/test_schema.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_kd9Bg5s9zeVFljPFevEj8tW7" }, { "role": "assistant", "content": "", "reasoning": "**Running git commands**\n\nI’m thinking about running `git diff` to compare changes, but first, I need to finalize some counts based on the latest runtime updates. It’s interesting to consider whether I actually need real files for this. I want to ensure safety is up to par before I commit these changes. Once that’s settled, I’ll go ahead and commit and push everything to the repository.", "finish_reason": "tool_calls", "reasoning_content": "**Running git commands**\n\nI’m thinking about running `git diff` to compare changes, but first, I need to finalize some counts based on the latest runtime updates. It’s interesting to consider whether I actually need real files for this. I want to ensure safety is up to par before I commit these changes. Once that’s settled, I’ll go ahead and commit and push everything to the repository.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu6g_lTqgzOZ23LLxQ311D_t9l3xEutAVUPAAZn4zKwXvSTmLwLq2I9cCve3x-jsQqydF0bWkcHo-nM9KL0ZnuYuGsUdi0YeCKqYsfAQRqQubEWjCLJruBrzCv23qVwUAGGBPDUyxO8_fYuITidCIVdl4y3V_a2C8HrsjFX0o8tcf6nIIr_R-hP4hFjRRBo3WeKWmm23L9xWgCdq6XZWOETfW96vi5lnOYuDY_RBBrCXVsYDUd9rENOuK8DIKTVcHTZCTSUnJufZGiSvQaxvAOsjmpIJDbO3bi2-MFbBH_Ogx1Dx-FDVTNywJQ8KvLSWkHe2HYnt6bBvsrYxN-QV_e4W3g_shjDAmPTHqdwkx-lvr7N5En5sx8AWboffpN1XZ10Ql26XjHFXnNxbAuAJ3brG1rSYuozKbbvKL4L4QlyjfwlOaQRCjGrBJ4N22YC97imu1JJ5APFDdZRyRTcRXaSc2qOwWfOajNCuSTEEQ_fwnqsxed8rdaBPEzFFgEDmfc8ycBHDMJkB0cNVYiWKg7lrpeoUNmUoCn4XGr9IMl0QQjTKkRPE_P2pDmnZO9uikAu3OgvzrI3OS3e6QKGPBEXUr3jw9mjbCdZA-yiYeqKPKnjgH__e9qNBcKr5MHz6AG_e98F9i3cDtkKLZsZ7BFIadq7AdeN6h_94AgF1eEShG5gaWkPQjcZWEXk4ftzOpS4C4z_fW7AbIudE0X10b2q6OQi8K1zlvljaUVP0J1EDPrW2jAb-DHetjnIVoBkaPz-KdOUrwakH3q_ffI4gqWvXfTHbVT2Fa73fiA_qcrsi4_UBfWee-nGXM-sradb8w09plmUt_8UV8LHDMUMKsGp7MqpotK9cUispaaA0nrJN76YAUhJ_WuWir6qVAJOIh3b0cK-rm67gu7HuXWlHYjrsJjq1fbA3QIXbmvfwz0IUs6rQpGBZdkUee1eEGYjwQ4amMGSK_pNeujP9n_z8s8j0aAfJ_a2GcVr6MUQh84R4LP9mkfCdDJfsExv2vZ4rcvvq1FZ77Yt_eqm9I8oJGX4GDd9CJIJmz_Qk43uxCpTps9UvbYhvrXe71ejObA-LAzp-IC3fulsQupXa8DtxeZDr9g==", "id": "rs_0c76e56576ffc0fb016a06ee9edd808191bbd116afe19f3274", "summary": [ { "type": "summary_text", "text": "**Running git commands**\n\nI’m thinking about running `git diff` to compare changes, but first, I need to finalize some counts based on the latest runtime updates. It’s interesting to consider whether I actually need real files for this. I want to ensure safety is up to par before I commit these changes. Once that’s settled, I’ll go ahead and commit and push everything to the repository." } ] } ], "tool_calls": [ { "id": "call_t8L8wEezT8OrspwwWmmA4tqw", "call_id": "call_t8L8wEezT8OrspwwWmmA4tqw", "response_item_id": "fc_0c76e56576ffc0fb016a06eea0320c8191a06867d6e52e9665", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ngit diff --stat\\ngit add src/jarvis_finance/dashboard/data.py src/jarvis_finance/dashboard/pages/page_14_import_wizard.py src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py src/jarvis_finance/imports/broker_mapping.py src/jarvis_finance/storage/migrations.py tests/unit/test_broker_parser_dry_run_pipeline.py tests/unit/test_schema.py\\ngit commit -m \\\"feat: harden broker review queue mapping workflow\\\"\\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\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"src/jarvis_finance/dashboard/data.py | 37 +++-\\n .../dashboard/pages/page_14_import_wizard.py | 2 +-\\n .../dashboard/pages/page_15_manual_review_queue.py | 71 +++++-\\n .../dashboard/pages/page_16_data_quality_center.py | 12 +-\\n src/jarvis_finance/imports/broker_mapping.py | 242 +++++++++++++++++++++\\n src/jarvis_finance/storage/migrations.py | 15 +-\\n tests/unit/test_broker_parser_dry_run_pipeline.py | 141 +++++++++++-\\n tests/unit/test_schema.py | 6 +-\\n 8 files changed, 495 insertions(+), 31 deletions(-)\\n[main 1c5c3a0] feat: harden broker review queue mapping workflow\\n 8 files changed, 495 insertions(+), 31 deletions(-)\\n........................................................................ [ 46%]\\n........................................................................ [ 92%]\\n........... [100%]\\n155 passed in 5.08s\\nGIT_SAFETY_OK\\n## main...origin/main [voraus 1]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_t8L8wEezT8OrspwwWmmA4tqw" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_OcyyiKO4KLUI11IDAUwiXWgM", "call_id": "call_OcyyiKO4KLUI11IDAUwiXWgM", "response_item_id": "fc_0c76e56576ffc0fb016a06eeae527c8191a1ec9882e4918221", "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().joinpath('jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv').read_text()\\nm=re.search(r'(github_pat_[A-Za-z0-9_]+|ghp_[A-Za-z0-9_]+|gho_[A-Za-z0-9_]+)', text)\\nif not m:\\n print('TOKEN_PARSE=failed'); sys.exit(12)\\ntoken=m.group(1); auth_url=f'https://{token}@github.com/Gamexgit/FinanceManager.git'\\ndef run(args, check=True): return subprocess.run(args, cwd=repo, text=True, capture_output=True, check=check)\\ntry:\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n local=run(['git','rev-parse','HEAD']).stdout.strip(); origin=run(['git','rev-parse','origin/main']).stdout.strip(); base=run(['git','merge-base','HEAD','origin/main']).stdout.strip()\\n print('REMOTE_BEFORE='+origin[:7]); print('LOCAL_HEAD='+local[:7])\\n if origin != base:\\n print('REMOTE_HAS_NEW_COMMITS=yes'); sys.exit(3)\\n push=run(['git','push',auth_url,'main:main'], check=False)\\n if push.returncode:\\n print('PUSH=failed'); print((push.stderr or push.stdout).replace(token,'[REDACTED]')[-1000:]); sys.exit(push.returncode)\\n run(['git','fetch',auth_url,'main:refs/remotes/origin/main','--quiet'])\\n print('PUSH=success'); print('REMOTE_AFTER='+run(['git','rev-parse','--short','origin/main']).stdout.strip())\\nfinally:\\n token=None; auth_url=None\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\\ngit status --short --branch\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"REMOTE_BEFORE=4e808ed\\nLOCAL_HEAD=1c5c3a0\\nPUSH=success\\nREMOTE_AFTER=1c5c3a0\\nGIT_SAFETY_OK\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_OcyyiKO4KLUI11IDAUwiXWgM" }, { "role": "assistant", "content": "", "reasoning": "**Collecting runtime counts**\n\nI need to gather final runtime counts and see which modules have changed. It might be necessary to run a `git status` to check on everything. I think I should do this using the terminal, but I need to consider that there might not be any output values at this point. I'm trying to stay organized and ensure I have everything captured accurately before moving on!", "finish_reason": "tool_calls", "reasoning_content": "**Collecting runtime counts**\n\nI need to gather final runtime counts and see which modules have changed. It might be necessary to run a `git status` to check on everything. I think I should do this using the terminal, but I need to consider that there might not be any output values at this point. I'm trying to stay organized and ensure I have everything captured accurately before moving on!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu7FXYZ6WJ_bw-25m1QdtD8Ptxa4AqdP7vzhX2KgyvKEyGtHOuArfQhWYsuUVg4JTT6spzMBtGRrVOzy3_1Ms6Aj_L69WYdmr0w1TSMkrL9JIK5Dw4yTEKMqmarg8AbVWIs124SjXrP_NVj8C60GelVgBLtS5upOA-V8e6WpWyP7bgpPXdbxpqze9Cvx_wZmd5o5rHOPn6L82TWxvDqKjN1FyaqtI3ECnbJlmeRePWvv2h8BawxRAbylW8vLGJFW4b8hOvyFQl35UmOg395GqInY9pjUJAZvSi8Nh7am9-Opv3da8vUN6nFnO6c4WwjUqfXTTlWGMZyk_u3xYTPukpB2nM69kUSOxrEtrUYe1jCGYe1jQg-e29wiioy5mz-jd7bIobq4Dtl553IwCud_3I13vxjk9JFG_1PvT2rWSKid05Tb6bP6IX7axHi3pXA_jC5nSj5cARmF6UqFaajMwRadd0BmotAaUJnSXW36As9zjAGTJlVDNJMDx0J8QsAm7rYMcwB69od8Ofi8CJFXL-FRq132pQ-FGBzB9Qxolq3rBGlduKnskHif-H3eM5tQAv4oH3Toi8CUJU-V-kCU4CzwZjDPfSnfNgh7rGN65R6ICaEOWqP95jlVfRJbWnAG3FUcRJYgH5rYgGpKPhmyCVVuFmX7fqv6_zvCzKRh-FGznsMuMmRf1DsmST4NpJohY49kFZRd7Zfnve47b-ZJawsiKeRyKFu0UuJ9xgS_o0Xc2orh4W_X2ms_JEquSdutorGFZHM_zcqPZ-zUqwDgOKNZRWOMEiCOr2g7u-u9m7enAeOZWagvHHwCxvM9ne4CsL-JjOZFQxpJ8UhFygBJvjtuGy4P7pzI5c3Qcj17lEuT6ZwsLLK9VZ6swgnRFNjUQ5milAIS2cidAQG7G3rwECqCpcNPobzkpjr5QiMqg9UOowi_IaZ1rOJBaF6c9mEClspnf6_uUZkhS_cNnmDDhari5SyW4GyOIZiygpSzKifkBzCconTx3MtCiUM5zHUK0IJdWnAjLZdfBwDXCKgqxQP9b6knNw3opj18S4ddQ5ibCGn3ghTexjkThiTIlVvVQ3Qf", "id": "rs_0c76e56576ffc0fb016a06eec25db08191b197d9667305b6e3", "summary": [ { "type": "summary_text", "text": "**Collecting runtime counts**\n\nI need to gather final runtime counts and see which modules have changed. It might be necessary to run a `git status` to check on everything. I think I should do this using the terminal, but I need to consider that there might not be any output values at this point. I'm trying to stay organized and ensure I have everything captured accurately before moving on!" } ] } ], "tool_calls": [ { "id": "call_RjDIcY3N42pB8totM4R7Tkhm", "call_id": "call_RjDIcY3N42pB8totM4R7Tkhm", "response_item_id": "fc_0c76e56576ffc0fb016a06eec5ddcc8191bfaa426119f70c2c", "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.imports.broker_mapping import get_ready_for_import_by_source, get_review_readiness_counts\\nconn=connect(load_settings().db_path); apply_migrations(conn)\\nstatus_counts={}\\nfor row in conn.execute('SELECT source_platform, review_status, COUNT(*) AS n FROM broker_import_review_items GROUP BY source_platform, review_status ORDER BY source_platform, review_status').fetchall():\\n status_counts.setdefault(row['source_platform'], {})[row['review_status']]=row['n']\\nproductive={t: conn.execute(f'SELECT COUNT(*) AS n FROM {t}').fetchone()['n'] for t in ['positions_snapshot','transactions']}\\nprint(json.dumps({'status_counts':status_counts,'ready_by_source':get_ready_for_import_by_source(conn),'readiness_counts':get_review_readiness_counts(conn),'productive_counts':productive}, sort_keys=True))\\nPY\\ngit status --short --branch\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"productive_counts\\\": {\\\"positions_snapshot\\\": 0, \\\"transactions\\\": 0}, \\\"readiness_counts\\\": [{\\\"count\\\": \\\"4\\\", \\\"readiness_status\\\": \\\"blocked\\\"}, {\\\"count\\\": \\\"50\\\", \\\"readiness_status\\\": \\\"not_ready\\\"}, {\\\"count\\\": \\\"5\\\", \\\"readiness_status\\\": \\\"review_needed\\\"}], \\\"ready_by_source\\\": [{\\\"ready_for_import\\\": \\\"0\\\", \\\"source_platform\\\": \\\"PostFinance\\\", \\\"total\\\": \\\"34\\\"}, {\\\"ready_for_import\\\": \\\"0\\\", \\\"source_platform\\\": \\\"Raiffeisen\\\", \\\"total\\\": \\\"7\\\"}, {\\\"ready_for_import\\\": \\\"0\\\", \\\"source_platform\\\": \\\"True Wealth\\\", \\\"total\\\": \\\"18\\\"}], \\\"status_counts\\\": {\\\"PostFinance\\\": {\\\"open\\\": 34}, \\\"Raiffeisen\\\": {\\\"blocked\\\": 4, \\\"open\\\": 3}, \\\"True Wealth\\\": {\\\"open\\\": 18}}}\\n## main...origin/main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_RjDIcY3N42pB8totM4R7Tkhm" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBu7PBFE4OS_ZZfoEt72ntpLBmHrVpVD8XrW8HQ02evevBtiHkuxqKB4VPtoZOCyp-xS9RKZAdAjtLUs9GpW1VoZlX5hVMOfU4kWb6emyWmQSNb_H5V-3Z-2HAPVSQZxbyHDavxLrsh34HZxgNGC3JR4H83ZAnIqLO6dsHas_jQjWhzyT_Kgm579cpupUnPpLZyGYA7SDyU69_d7U52_Nj88PsiZNgH0N_TRI25-R_CHjSO2iUlZ39ayq7x1f4vKWvvfHk3XWuTYTtk7afke5Vdpws4GJWc6OuksnR2areauAap3bM_dhiw_qzIMnfGIAvE3s3pYIFcbJwJjea5lBSO7vtRajh2Ptto03khv7T3LlbZKABDgtemETFNpGbyUfxtLSe0xkhxCX8zYPV-5RdYv9Yr8HOceuhr1KsJCxBOwl0LY_nVhREBL0jTvDZH9ml6-VJyjGOqSJRKb3x3eeshkPdWsvdTpDjTiWTHNCkIaT4_5y7-ACR3wp5HltfaIho4S_ne4gBi4UDgjBjoHavArrgfHK1N0AjqywKmHK_fGSdLtsbzTA6uoJ4DoZeC2Ir9qCNdB7kPgBRmlV_Zm6biF29pJvtc9do6J4kXVxc79fhVe7pO5epfUrdM-LDT5g9_YwfF3mACtyHBYS7NUS_Qs5oJaKZ5n5RgMbNKOb_k4dlyIEIOs2_omu4EObWTZ5Zlo1Rel0k5I7oXCbl45y2G7HpSx9dvsD3-9oslev-NytTjfO6VRyJxxpuigQIgtlGTlXvf9mT4jzdxRD-ZiKErToXq6b_Nju7RoQ0fqDB2W9iKpCq3mU1W1ALUN86QHd6pvlzRCHZ-2Dfy-yxaf3X31MWufOEVv-a_K2BZBgmNFPxFT9zCsN6t8OxTF-AHLam9T0ZVTGcgcc11CCxgxlF3z2uNgfeT-NwNYhO-E9FglMdpiL9aHOcqwx3xCcT9y9l19_-1SkV6ByarCOkGcc8DvS7H9A_dMhBbYPxz0rHTFgWSSbeO2IstwtzCm9gc0u1q5St5JeRj5dTF6Z32PbMxKZAX-Ac1IdjqyPi8gVHWvOmbi8TJyTzw5G49FoW0L2Uk2J6JKw-qdY5fVoS_S5HecX5y1gE0jsTs7P988Bnz2DNvHRb72CrMVCIAjLloRURBNVnLg_-7hT-Lldt38OqscQ_q_SJa3L0c5HyjZ9gkxE4wXK9cEcoRN6T95eghve9ff6DNvTzxuTqz_Qf6I5GYW4rLzk1RyB3kXviUsMFu-Tm2D9h26AiVUgMGQqJBnB7q5DhMjL4Ly-AIYZo45kG-0BLduamTFNcvO6_zlxUOzkRYcDpyOczu0_hGYhJOz5JSJuHFnPLbYWr0c25wTfOGmFDHfqONmFedcG44rPd9ZV8ywV09YmFlG7mNeOqzOHLRatwcHRbwTd6NP4ReYDCzcyu5dBZBTChMMbo6zosx6KYnYcwTjYY-X69Uf0LmzzduoboWn6hN5u9Dttv_XLzf0xIw==", "id": "rs_0c76e56576ffc0fb016a06eeccd2708191a1e9eed712940cdb", "summary": [] } ], "tool_calls": [ { "id": "call_l8p2me0j6sMHaaIJ3ByBnutR", "call_id": "call_l8p2me0j6sMHaaIJ3ByBnutR", "response_item_id": "fc_0c76e56576ffc0fb016a06eecf812081918475a48259e4118b", "type": "function", "function": { "name": "terminal", "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)\\ncounts={}\\nfor t in ['positions_snapshot','transactions','cash_balances']:\\n counts[t]=conn.execute(f'SELECT COUNT(*) AS n FROM {t}').fetchone()['n']\\nprint(json.dumps(counts, sort_keys=True))\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"cash_balances\\\": 0, \\\"positions_snapshot\\\": 0, \\\"transactions\\\": 0}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_l8p2me0j6sMHaaIJ3ByBnutR" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_dGUEAVFq5sfIcK9UTVTDeWAv", "call_id": "call_dGUEAVFq5sfIcK9UTVTDeWAv", "response_item_id": "fc_0c76e56576ffc0fb016a06eed43314819197f5361f5d363898", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Compile, pytest, Git-Safety, Commit und Push\",\"id\":\"b4-5\",\"status\":\"completed\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"b4-1\", \"content\": \"Code-Struktur Review Queue/Dry Run/Data Quality/Audit inspizieren\", \"status\": \"completed\"}, {\"id\": \"b4-2\", \"content\": \"B4 Schema/Mapping-Actions/Readiness/Session Management implementieren\", \"status\": \"completed\"}, {\"id\": \"b4-3\", \"content\": \"Dashboard Seiten Filter/Details/Data Quality/Safe Mode erweitern\", \"status\": \"completed\"}, {\"id\": \"b4-4\", \"content\": \"Tests für B4 ergänzen und produktive Daten-Unverändertheit prüfen\", \"status\": \"completed\"}, {\"id\": \"b4-5\", \"content\": \"Compile, pytest, Git-Safety, Commit und Push\", \"status\": \"completed\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 0, \"completed\": 5, \"cancelled\": 0}}", "tool_call_id": "call_dGUEAVFq5sfIcK9UTVTDeWAv" }, { "role": "assistant", "content": "Erledigt, Sir. Phase B4 ist implementiert, getestet, committed und gepusht.\n\n## Gesamtstatus\n\n- Phase B4: **abgeschlossen**\n- Commit: `1c5c3a0`\n- Push Status: **erfolgreich**\n- Remote HEAD: `1c5c3a0`\n- Tests: `155 passed`\n- Compile: **OK**\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: **clean**, `main...origin/main`\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen im Chat: **nein**\n- Produktive Positionen geschrieben: **nein**\n- Cash-Snapshots geschrieben: **nein**\n- Ledger-Transaktionen geschrieben: **nein**\n\n## Neue/geänderte Module\n\nGeändert:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_broker_parser_dry_run_pipeline.py`\n- `tests/unit/test_schema.py`\n\nSchema-Version:\n\n- von `5` auf `6`\n- Migration: `006_broker_review_queue_hardening`\n\n## Implementiert: Review Queue Filter\n\nManual Review Queue erweitert um Filter für:\n\n- Quelle:\n - PostFinance\n - True Wealth\n - Raiffeisen\n- Dry Run Session\n- Status:\n - open\n - blocked\n - mapped\n - ignored\n - resolved\n- Quality Flag:\n - `missing_isin`\n - `missing_ticker`\n - `snapshot_only`\n - `cost_basis_uncertain`\n - `market_value_legacy`\n - `missing_fx`\n - `aggregate_only`\n - `missing_instrument_details`\n - `cash_snapshot_candidate`\n - `needs_manual_review`\n- Assetklasse\n- Währung\n- Account Mapping Status\n- Import Readiness Status\n\n## Implementiert: Detailansicht pro Review Item\n\nDie Runtime-UI kann nun pro Review Item anzeigen:\n\n- Quelle\n- Dry Run ID\n- Source Row Reference\n- Source Label\n- Normalized Name\n- erkannte Assetklasse\n- erkannte Währung\n- erkannte ISIN\n- erkannter Ticker\n- erkannte Exchange\n- Account Mapping\n- Quality Flags\n- Review Status\n- Import Readiness\n- Reviewer Note\n- Audit History\n\nHinweis: Details bleiben Runtime-UI/Runtime-DB. Keine echten Inhalte wurden in Tests, Fixtures, Docs oder Chat ausgegeben.\n\n## Implementierte Review-Metadaten-Aktionen\n\nAktiviert als kontrollierte Backend-Funktionen mit Audit-Log:\n\n### A. ISIN ergänzen\n\n- grobe ISIN-Formatvalidierung\n- entfernt `missing_isin`\n- schreibt Audit-Log\n\n### B. Ticker / Exchange ergänzen\n\n- Ticker normalisiert\n- Exchange normalisiert\n- Ticker ohne Exchange bleibt review-pflichtig\n- Flag `ticker_without_exchange`, falls nötig\n- schreibt Audit-Log\n\n### C. Exchange ergänzen\n\n- über Ticker/Exchange-Aktion abgedeckt\n- schreibt Audit-Log\n\n### D. Instrument Mapping bestätigen\n\nRegeln:\n\n- ISIN erlaubt Mapping auf vorhandenes Instrument\n- Ticker + Exchange nur mit expliziter Bestätigung\n- Name-only darf **nicht** auf mapped gesetzt werden\n- kein stilles Auto-Mapping\n- schreibt Audit-Log\n\n### E. Account Mapping bestätigen\n\nRegeln:\n\n- interne Account-ID wird bestätigt\n- Cash darf nicht versehentlich auf Brokerage-only gemappt werden\n- Brokerage/ETF/Equity darf nicht auf Cash-only gemappt werden\n- schreibt Audit-Log\n\n### F. Ignore with note\n\n- Notiz Pflicht\n- ohne Notiz abgelehnt\n- Status: `ignored`\n- Readiness: `ignored`\n- schreibt Audit-Log\n\n### G. Mark resolved\n\n- nur möglich, wenn Pflichtprobleme gelöst sind\n- sonst abgelehnt\n- schreibt Audit-Log\n\n## Implementiert: Import Readiness\n\nPro Review Item berechnet:\n\n- `not_ready`\n- `review_needed`\n- `ready_for_import`\n- `ignored`\n- `blocked`\n\nRegeln umgesetzt:\n\n### Aktien/ETFs\n\n`ready_for_import` nur wenn:\n\n- Quelle vorhanden\n- Account Mapping vorhanden\n- Assetklasse `equity` oder `etf`\n- ISIN vorhanden **oder** Ticker + Exchange explizit bestätigt\n- Währung vorhanden\n- Snapshot Date manuell bestätigt\n- Menge vorhanden\n- keine blockierenden Quality Flags\n- Reviewer Confirmation vorhanden\n\n### Cash\n\n`ready_for_import` nur wenn:\n\n- Account Mapping vorhanden\n- Währung vorhanden\n- Snapshot Date bestätigt\n- Betrag/Market-Value-Presence vorhanden\n- Reviewer Confirmation vorhanden\n\n### Aggregate / Raiffeisen\n\n- `aggregate_only` bleibt blockiert\n- keine Instrumentposition daraus\n- Cash-/Kontrollsnapshot nur reviewbar, wenn eindeutig\n\nSehr trocken, sehr sicher. Fast schon schweizerisch.\n\n## Implementiert: Dry Run Session Management\n\nDry Run Sessions zeigen jetzt:\n\n- Dry Run ID\n- Quelle\n- Dateityp\n- Erstellungszeitpunkt\n- Snapshot Date Status\n- Anzahl Review Items\n- Anzahl `ready_for_import`\n- Anzahl `blocked`\n- Anzahl `ignored`\n- Anzahl `open`\n- Warnings/Errors\n- Session Status\n- Current Marker\n\nVorbereitete Aktionen:\n\n- Dry Run archivieren\n- Dry Run verwerfen\n- Dry Run als aktuell markieren\n\nRegeln:\n\n- keine Audit-Historie wird gelöscht\n- kein produktiver Import\n- Statusänderungen schreiben Audit-Log\n\n## Data Quality Center erweitert\n\nNeu sichtbar:\n\n- Review Items je Quality Flag\n- Readiness Counts:\n - `ready_for_import`\n - `not_ready`\n - `review_needed`\n - `blocked`\n - `ignored`\n- Warnung, wenn eine Quelle `0 ready_for_import` hat\n- Warnung bei fehlendem Snapshot Date\n- Review Queue über Navigation/Filter nutzbar\n- Buttons vorbereitet/deaktiviert:\n - Data Quality Recheck\n - Resolve Fixed Alerts\n - Review Items aktualisieren\n - Produktiven Import starten\n\nProduktive Import-Buttons bleiben deaktiviert.\n\n## Safe Mode / Write Enable\n\nWeiter gestärkt:\n\n- Runtime DB / echte Daten außerhalb Git bleibt sichtbar\n- Write Mode bleibt default: `Read-only`\n- Review-Metadaten-Aktionen sind fachlich getrennt von Portfolio-Writes\n- produktive Portfolio-/Ledger-/Snapshot-Writes bleiben blockiert\n\nKlare Trennung:\n\n- Review-Metadaten schreiben: **erlaubt nach Bestätigung**\n- Portfolio-/Ledger-/Snapshot schreiben: **weiterhin blockiert**\n\n## Tests ergänzt\n\nNeue/erweiterte Testabdeckung:\n\n- Review Queue Filter nach Quelle\n- Review Queue Filter nach Dry Run ID\n- Review Queue Filter nach Quality Flag\n- ISIN ergänzen erzeugt Audit\n- Ticker/Exchange ergänzen erzeugt Audit\n- Name allein bleibt nicht automatisch mapped\n- Instrument Mapping mit ISIN kann `ready_for_import` werden\n- Ticker ohne Exchange bleibt review-pflichtig\n- Account Mapping Bestätigung erzeugt Audit\n- Ignore with note funktioniert\n- Ignore ohne Note wird abgelehnt\n- Mark resolved nur bei gelösten Pflichtproblemen\n- `ready_for_import` für Equity\n- `ready_for_import` für ETF\n- `ready_for_import` für Cash\n- `aggregate_only` bleibt blockiert\n- Dry Run archivieren / als aktuell markieren erzeugt Audit\n- Data Quality Center zeigt Readiness Counts\n- produktiver Import bleibt deaktiviert\n- keine echten Dateien im Repo\n- Git-Safety OK\n\nTestergebnis:\n\n- `155 passed`\n\n## Runtime Review Item Counts nach Status\n\nAktueller Runtime-Stand nach B4-Readiness-Recheck:\n\n### PostFinance\n\n- open: `34`\n- ready_for_import: `0`\n\n### True Wealth\n\n- open: `18`\n- ready_for_import: `0`\n\n### Raiffeisen\n\n- open: `3`\n- blocked: `4`\n- ready_for_import: `0`\n\n## Readiness Counts gesamt\n\n- blocked: `4`\n- not_ready: `50`\n- review_needed: `5`\n- ready_for_import: `0`\n\nDas ist erwartbar: Es wurden noch keine echten manuellen ISIN-/Account-/Snapshot-Bestätigungen vorgenommen.\n\n## Produktive Portfolio-Daten\n\nUnverändert / keine produktiven Writes:\n\n- `positions_snapshot`: `0`\n- `transactions`: `0`\n- `cash_balances`: `0`\n\n## Commit / Push\n\n- Commit: `1c5c3a0`\n- Message: `feat: harden broker review queue mapping workflow`\n- Push: **success**\n- Git Status: **clean**\n\n## Nächste Empfehlung\n\nPhase B5 sollte sein:\n\n**Guided Manual Review Pilot — kleine sichere Teilmenge freigeben, aber noch ohne produktiven Import.**\n\nVorschlag:\n\n1. Eine Quelle auswählen, vermutlich PostFinance oder True Wealth.\n2. 1–3 synthetisch harmlose echte Review Items im Dashboard manuell bearbeiten:\n - ISIN ergänzen\n - Ticker/Exchange ergänzen\n - Account Mapping bestätigen\n - Snapshot Date bestätigen\n - Instrument Mapping bestätigen\n3. Prüfen, ob `ready_for_import` korrekt steigt.\n4. Data Quality Center prüfen.\n5. Audit History prüfen.\n6. Weiterhin keinen produktiven Initial Snapshot committen.\n7. Danach erst Phase B6: explizit freigegebener Mini-Import einer reviewed Safe Subset Position.\n\nKurz: Die Review Queue ist jetzt bedienbar und auditierbar. Noch schreibt sie brav nur Metadaten — kein Portfolio-Voodoo im Hintergrund.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Erledigt, Sir. Phase B4 ist implementiert, getestet, committed und gepusht.\n\n## Gesamtstatus\n\n- Phase B4: **abgeschlossen**\n- Commit: `1c5c3a0`\n- Push Status: **erfolgreich**\n- Remote HEAD: `1c5c3a0`\n- Tests: `155 passed`\n- Compile: **OK**\n- Git-Safety: `GIT_SAFETY_OK`\n- Git Status: **clean**, `main...origin/main`\n- Echte Dateien ins Git: **nein**\n- Echte Werte/Mengen im Chat: **nein**\n- Produktive Positionen geschrieben: **nein**\n- Cash-Snapshots geschrieben: **nein**\n- Ledger-Transaktionen geschrieben: **nein**\n\n## Neue/geänderte Module\n\nGeändert:\n\n- `src/jarvis_finance/imports/broker_mapping.py`\n- `src/jarvis_finance/storage/migrations.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_14_import_wizard.py`\n- `src/jarvis_finance/dashboard/pages/page_15_manual_review_queue.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `tests/unit/test_broker_parser_dry_run_pipeline.py`\n- `tests/unit/test_schema.py`\n\nSchema-Version:\n\n- von `5` auf `6`\n- Migration: `006_broker_review_queue_hardening`\n\n## Implementiert: Review Queue Filter\n\nManual Review Queue erweitert um Filter für:\n\n- Quelle:\n - PostFinance\n - True Wealth\n - Raiffeisen\n- Dry Run Session\n- Status:\n - open\n - blocked\n - mapped\n - ignored\n - resolved\n- Quality Flag:\n - `missing_isin`\n - `missing_ticker`\n - `snapshot_only`\n - `cost_basis_uncertain`\n - `market_value_legacy`\n - `missing_fx`\n - `aggregate_only`\n - `missing_instrument_details`\n - `cash_snapshot_candidate`\n - `needs_manual_review`\n- Assetklasse\n- Währung\n- Account Mapping Status\n- Import Readiness Status\n\n## Implementiert: Detailansicht pro Review Item\n\nDie Runtime-UI kann nun pro Review Item anzeigen:\n\n- Quelle\n- Dry Run ID\n- Source Row Reference\n- Source Label\n- Normalized Name\n- erkannte Assetklasse\n- erkannte Währung\n- erkannte ISIN\n- erkannter Ticker\n- erkannte Exchange\n- Account Mapping\n- Quality Flags\n- Review Status\n- Import Readiness\n- Reviewer Note\n- Audit History\n\nHinweis: Details bleiben Runtime-UI/Runtime-DB. Keine echten Inhalte wurden in Tests, Fixtures, Docs oder Chat ausgegeben.\n\n## Implementierte Review-Metadaten-Aktionen\n\nAktiviert als kontrollierte Backend-Funktionen mit Audit-Log:\n\n### A. ISIN ergänzen\n\n- grobe ISIN-Formatvalidierung\n- entfernt `missing_isin`\n- schreibt Audit-Log\n\n### B. Ticker / Exchange ergänzen\n\n- Ticker normalisiert\n- Exchange normalisiert\n- Ticker ohne Exchange bleibt review-pflichtig\n- Flag `ticker_without_exchange`, falls nötig\n- schreibt Audit-Log\n\n### C. Exchange ergänzen\n\n- über Ticker/Exchange-Aktion abgedeckt\n- schreibt Audit-Log\n\n### D. Instrument Mapping bestätigen\n\nRegeln:\n\n- ISIN erlaubt Mapping auf vorhandenes Instrument\n- Ticker + Exchange nur mit expliziter Bestätigung\n- Name-only darf **nicht** auf mapped gesetzt werden\n- kein stilles Auto-Mapping\n- schreibt Audit-Log\n\n### E. Account Mapping bestätigen\n\nRegeln:\n\n- interne Account-ID wird bestätigt\n- Cash darf nicht versehentlich auf Brokerage-only gemappt werden\n- Brokerage/ETF/Equity darf nicht auf Cash-only gemappt werden\n- schreibt Audit-Log\n\n### F. Ignore with note\n\n- Notiz Pflicht\n- ohne Notiz abgelehnt\n- Status: `ignored`\n- Readiness: `ignored`\n- schreibt Audit-Log\n\n### G. Mark resolved\n\n- nur möglich, wenn Pflichtprobleme gelöst sind\n- sonst abgelehnt\n- schreibt Audit-Log\n\n## Implementiert: Import Readiness\n\nPro Review Item berechnet:\n\n- `not_ready`\n- `review_needed`\n- `ready_for_import`\n- `ignored`\n- `blocked`\n\nRegeln umgesetzt:\n\n### Aktien/ETFs\n\n`ready_for_import` nur wenn:\n\n- Quelle vorhanden\n- Account Mapping vorhanden\n- Assetklasse `equity` oder `etf`\n- ISIN vorhanden **oder** Ticker + Exchange explizit bestätigt\n- Währung vorhanden\n- Snapshot Date manuell bestätigt\n- Menge vorhanden\n- keine blockierenden Quality Flags\n- Reviewer Confirmation vorhanden\n\n### Cash\n\n`ready_for_import` nur wenn:\n\n- Account Mapping vorhanden\n- Währung vorhanden\n- Snapshot Date bestätigt\n- Betrag/Market-Value-Presence vorhanden\n- Reviewer Confirmation vorhanden\n\n### Aggregate / Raiffeisen\n\n- `aggregate_only` bleibt blockiert\n- keine Instrumentposition daraus\n- Cash-/Kontrollsnapshot nur reviewbar, wenn eindeutig\n\nSehr trocken, sehr sicher. Fast schon schweizerisch.\n\n## Implementiert: Dry Run Session Management\n\nDry Run Sessions zeigen jetzt:\n\n- Dry Run ID\n- Quelle\n- Dateityp\n- Erstellungszeitpunkt\n- Snapshot Date Status\n- Anzahl Review Items\n- Anzahl `ready_for_import`\n- Anzahl `blocked`\n- Anzahl `ignored`\n- Anzahl `open`\n- Warnings/Errors\n- Session Status\n- Current Marker\n\nVorbereitete Aktionen:\n\n- Dry Run archivieren\n- Dry Run verwerfen\n- Dry Run als aktuell markieren\n\nRegeln:\n\n- keine Audit-Historie wird gelöscht\n- kein produktiver Import\n- Statusänderungen schreiben Audit-Log\n\n## Data Quality Center erweitert\n\nNeu sichtbar:\n\n- Review Items je Quality Flag\n- Readiness Counts:\n - `ready_for_import`\n - `not_ready`\n - `review_needed`\n - `blocked`\n - `ignored`\n- Warnung, wenn eine Quelle `0 ready_for_import` hat\n- Warnung bei fehlendem Snapshot Date\n- Review Queue über Navigation/Filter nutzbar\n- Buttons vorbereitet/deaktiviert:\n - Data Quality Recheck\n - Resolve Fixed Alerts\n - Review Items aktualisieren\n - Produktiven Import starten\n\nProduktive Import-Buttons bleiben deaktiviert.\n\n## Safe Mode / Write Enable\n\nWeiter gestärkt:\n\n- Runtime DB / echte Daten außerhalb Git bleibt sichtbar\n- Write Mode bleibt default: `Read-only`\n- Review-Metadaten-Aktionen sind fachlich getrennt von Portfolio-Writes\n- produktive Portfolio-/Ledger-/Snapshot-Writes bleiben blockiert\n\nKlare Trennung:\n\n- Review-Metadaten schreiben: **erlaubt nach Bestätigung**\n- Portfolio-/Ledger-/Snapshot schreiben: **weiterhin blockiert**\n\n## Tests ergänzt\n\nNeue/erweiterte Testabdeckung:\n\n- Review Queue Filter nach Quelle\n- Review Queue Filter nach Dry Run ID\n- Review Queue Filter nach Quality Flag\n- ISIN ergänzen erzeugt Audit\n- Ticker/Exchange ergänzen erzeugt Audit\n- Name allein bleibt nicht automatisch mapped\n- Instrument Mapping mit ISIN kann `ready_for_import` werden\n- Ticker ohne Exchange bleibt review-pflichtig\n- Account Mapping Bestätigung erzeugt Audit\n- Ignore with note funktioniert\n- Ignore ohne Note wird abgelehnt\n- Mark resolved nur bei gelösten Pflichtproblemen\n- `ready_for_import` für Equity\n- `ready_for_import` für ETF\n- `ready_for_import` für Cash\n- `aggregate_only` bleibt blockiert\n- Dry Run archivieren / als aktuell markieren erzeugt Audit\n- Data Quality Center zeigt Readiness Counts\n- produktiver Import bleibt deaktiviert\n- keine echten Dateien im Repo\n- Git-Safety OK\n\nTestergebnis:\n\n- `155 passed`\n\n## Runtime Review Item Counts nach Status\n\nAktueller Runtime-Stand nach B4-Readiness-Recheck:\n\n### PostFinance\n\n- open: `34`\n- ready_for_import: `0`\n\n### True Wealth\n\n- open: `18`\n- ready_for_import: `0`\n\n### Raiffeisen\n\n- open: `3`\n- blocked: `4`\n- ready_for_import: `0`\n\n## Readiness Counts gesamt\n\n- blocked: `4`\n- not_ready: `50`\n- review_needed: `5`\n- ready_for_import: `0`\n\nDas ist erwartbar: Es wurden noch keine echten manuellen ISIN-/Account-/Snapshot-Bestätigungen vorgenommen.\n\n## Produktive Portfolio-Daten\n\nUnverändert / keine produktiven Writes:\n\n- `positions_snapshot`: `0`\n- `transactions`: `0`\n- `cash_balances`: `0`\n\n## Commit / Push\n\n- Commit: `1c5c3a0`\n- Message: `feat: harden broker review queue mapping workflow`\n- Push: **success**\n- Git Status: **clean**\n\n## Nächste Empfehlung\n\nPhase B5 sollte sein:\n\n**Guided Manual Review Pilot — kleine sichere Teilmenge freigeben, aber noch ohne produktiven Import.**\n\nVorschlag:\n\n1. Eine Quelle auswählen, vermutlich PostFinance oder True Wealth.\n2. 1–3 synthetisch harmlose echte Review Items im Dashboard manuell bearbeiten:\n - ISIN ergänzen\n - Ticker/Exchange ergänzen\n - Account Mapping bestätigen\n - Snapshot Date bestätigen\n - Instrument Mapping bestätigen\n3. Prüfen, ob `ready_for_import` korrekt steigt.\n4. Data Quality Center prüfen.\n5. Audit History prüfen.\n6. Weiterhin keinen produktiven Initial Snapshot committen.\n7. Danach erst Phase B6: explizit freigegebener Mini-Import einer reviewed Safe Subset Position.\n\nKurz: Die Review Queue ist jetzt bedienbar und auditierbar. Noch schreibt sie brav nur Metadaten — kein Portfolio-Voodoo im Hintergrund." } ], "id": "msg_0c76e56576ffc0fb016a06eed846408191b7e1fb359d81f80e", "phase": "final_answer" } ] } ] }