{"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.", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "assistant", "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. 172 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "user", "content": "[M G] Sehr gut. Phase B6d ist akzeptiert.\n\nDer Stand ist sauber:\n\n* Crypto-Stale-Alerts sind bereinigt\n* 3 True-Wealth Initial-Snapshot-Transaktionen sind produktiv im Ledger\n* Remaining ready planned True-Wealth Items: 0\n* keine direkten positions_snapshot Writes\n* keine Cash-Snapshots\n* PostFinance nicht importiert\n* Raiffeisen nicht importiert\n* Backup erzeugt/verifiziert\n* Tests: 160 passed\n* Git-Safety: OK\n* Git Status clean\n* keine echten Werte/Mengen/Kontostände im Chat\n\nBitte jetzt keine weiteren Positionen importieren und keine neuen Analysefeatures wie Backtesting, Monte Carlo, Rebalancing oder Heatmaps bauen.\n\nDer nächste Schritt ist:\n\n# Phase C — FX-/Market-Data-Modul für Aktien/ETFs\n\nZiel:\nDie bereits importierten True-Wealth-Positionen und spätere Aktien-/ETF-Positionen sollen lokal bewertet werden können, ohne Live-API im Dashboard und ohne Scheingenauigkeit.\n\n## C0 — Vorprüfung: Missing-FX-Alerts validieren\n\nBitte zuerst prüfen, ob die aktuellen `missing_fx`-Alerts bei den 3 True-Wealth-Initial-Snapshots fachlich korrekt sind.\n\nPrüfen:\n\n* Welche Originalwährung ist pro importierter Transaktion gesetzt?\n* Ist die Originalwährung CHF?\n* Falls ja:\n\n  * fx_rate_to_chf = 1\n  * fx_source = not_needed\n  * fx_status = not_needed\n  * kein missing_fx Alert\n* Falls USD/EUR/andere Fremdwährung:\n\n  * missing_fx bleibt korrekt, bis historische FX-Rate vorhanden ist\n\nBitte nur aggregiert berichten:\n\n* Anzahl importierte True-Wealth-Positionen\n* Anzahl CHF-Positionen\n* Anzahl Fremdwährungspositionen\n* Anzahl wirklich berechtigte missing_fx Alerts\n* Anzahl false-positive missing_fx Alerts\n* keine Werte/Mengen/Kontostände\n\nFalls false-positive Alerts existieren, bitte korrigieren:\n\n* Audit-Log schreiben\n* Data-Quality-Alert resolved setzen\n* keine stillen Änderungen ohne Audit\n* keine echten Werte im Chat\n\n## C1 — FX Provider / FX Rates Modul\n\nBitte implementiere oder erweitere das FX-Modul für historische und aktuelle FX-Kurse.\n\nAnforderungen:\n\n* CHF bleibt Basiswährung\n* CHF/CHF = 1\n* Unterstützte Währungen MVP:\n\n  * USD/CHF\n  * EUR/CHF\n  * ggf. weitere, falls in Daten vorhanden\n* Historische FX-Rates nach Datum\n* Latest FX-Rates für aktuelle Bewertung\n* Speicherung in fx_rates\n* Keine Live-API im Dashboard\n* CLI-Command, z.B.:\n\n  * finance update-fx-rates --date YYYY-MM-DD\n  * finance update-fx-rates --latest\n  * finance update-fx-rates --missing-only\n  * finance update-fx-rates --dry-run\n* Provider-Abstraktion\n* Mock Provider für Tests\n* optional realer Provider später konfigurierbar\n* Rate-Limit/Backoff vorbereiten\n* Manual Override weiterhin möglich, aber mit Audit und Notiz\n\nData Quality:\n\n* fehlende FX erzeugt Alert\n* veraltete FX erzeugt Alert\n* gelöste FX-Probleme setzen Alert auf resolved\n* keine Alert-Flut\n\nTests:\n\n* CHF/CHF = 1\n* USD/EUR zu CHF werden gespeichert\n* fehlende FX bleibt warning/critical\n* vorhandene FX löst missing_fx Alert auf\n* Manual Override braucht Notiz und Audit\n* Dashboard liest nur lokale FX-Daten\n\n## C2 — Instrument Price Mapping für Aktien/ETFs\n\nBitte implementiere eine Mapping-Struktur für Marktpreise.\n\nGrund:\nISIN ist fachlich primär, aber viele Marktdatenanbieter brauchen Provider-Symbole wie AAPL, IWDA.AS, VWRL.SW, EUNL.DE usw.\n\nBitte Tabelle/Modell vorbereiten:\n\ninstrument_price_mappings\n\nFelder:\n\n* mapping_id\n* instrument_id\n* isin\n* ticker\n* exchange\n* currency\n* provider\n* provider_symbol\n* provider_market\n* mapping_status:\n\n  * mapped\n  * needs_manual_review\n  * missing_provider_symbol\n  * ambiguous\n  * ignored\n* confidence\n* notes\n* created_at\n* updated_at\n\nRegeln:\n\n* ISIN bleibt primäre Identifikation des Instruments\n* Provider-Symbol ist Marktdaten-Mapping, nicht Instrument-Wahrheit\n* kein automatisches Preis-Mapping nur nach Name\n* Ticker ohne Exchange bleibt review-pflichtig\n* manuelle Mapping-Bestätigung erzeugt Audit-Log\n* fehlendes Provider-Symbol erzeugt Data-Quality-Hinweis\n\n## C3 — Aktien-/ETF Market Price Provider Skeleton\n\nBitte implementiere ein Market-Price-Modul für Aktien/ETFs, analog zum Crypto-Preisupdate.\n\nAnforderungen:\n\n*\nProvid\ner-Abstraktion\n* lokale Speicherung in market_prices\n* Preiswährung speichern\n* price_date\n* price_timestamp\n* close\n* optional adjusted_close\n* provider\n* provider_symbol\n* quality_status:\n\n  * fresh\n  * stale\n  * missing\n  * error\n  * conflict\n* keine Live-API im Dashboard\n* Rate-Limit/Backoff vorbereiten\n* Batch/Queue vorbereiten, falls Provider es unterstützt\n* Mock Provider für Tests\n\nCLI:\n\n* finance update-market-prices --asset-class etf\n* finance update-market-prices --asset-class equity\n* finance update-market-prices --only-missing\n* finance update-market-prices --only-stale\n* finance update-market-prices --only-isin ISIN\n* finance update-market-prices --limit N\n* finance update-market-prices --dry-run\n\nFür diesen Block:\n\n* echte Provider-Integration darf minimal sein\n* wichtiger ist saubere Architektur, lokale Speicherung, Tests und Data Quality\n* keine echten Aktien-/ETF-Werte im Chat\n\n## C4 — Bewertung importierter Aktien-/ETF-Positionen\n\nBitte nach C1–C3 für die 3 True-Wealth-Positionen prüfen:\n\n* Instrument Mapping vorhanden?\n* Provider Symbol vorhanden?\n* lokaler Marktpreis vorhanden?\n* FX vorhanden oder not_needed?\n* Position kann in CHF bewertet werden?\n* falls nein: klarer Data-Quality-Hinweis\n* keine Scheingenauigkeit bei Performance/Total Return\n* keine Live-API im Dashboard\n\nBitte Dashboard/Equity-Seite so erweitern, dass sie anzeigt:\n\n* Position vorhanden\n* Preisstatus\n* FX-Status\n* Bewertungsstatus\n* Data-Quality-Status\n* Total Return nur, wenn Daten vollständig genug sind\n* ansonsten „unvollständig“ / warning\n\n## C5 — Data Quality Center erweitern\n\nBitte Data Quality Center ergänzen für Aktien/ETFs:\n\n* missing_provider_symbol\n* missing_market_price\n* stale_market_price\n* missing_fx\n* stale_fx\n* cost_basis_uncertain\n* snapshot_only\n* missing_isin\n* ambiguous_instrument_mapping\n* price_currency_mismatch\n\nAktionen:\n\n* Recheck\n* Resolve fixed alerts\n* Link zur Manual Review Queue\n* Link zum Instrument Price Mapping\n\n## C6 — Tests\n\nBitte Tests ergänzen für:\n\nFX:\n\n* CHF/CHF not_needed\n* USD/EUR FX speichern\n* missing_fx Alert\n* FX Alert wird resolved, wenn Kurs vorhanden\n* Manual Override Audit\n\nInstrument Price Mapping:\n\n* ISIN-basiertes Instrument\n* fehlendes Provider-Symbol erzeugt warning\n* Ticker ohne Exchange bleibt review-pflichtig\n* Mapping-Bestätigung erzeugt Audit\n\nMarket Prices:\n\n* Mock Provider speichert Preis\n* fehlender Preis erzeugt Alert\n* stale price erzeugt Alert\n* resolved Alert bei frischem Preis\n* Dashboard nutzt lokale Preise\n* kein Live-API beim Rendern\n\nPosition Valuation:\n\n* CHF-Position mit Preis kann bewertet werden\n* Fremdwährungsposition braucht FX\n* fehlender FX verhindert präzise CHF-Bewertung\n* fehlender Marktpreis verhindert Bewertung\n* Total Return wird nicht präzise behauptet, wenn Cost Basis/FX/Preis fehlt\n\nSafety:\n\n* keine echten Finanzdateien im Repo\n* Git-Safety OK\n\n## C7 — Produktiver vorsichtiger Lauf\n\nNach Implementierung bitte vorsichtig gegen Runtime-DB laufen lassen:\n\n1. FX-Recheck für die 3 True-Wealth-Positionen\n2. Market-Price-Mapping prüfen\n3. Preisupdate nur, wenn Provider-Mapping vorhanden ist\n4. Keine Massenprovider-Calls\n5. Keine echten Werte im Chat\n\nBericht nur aggregiert:\n\n* True-Wealth-Positionen total\n* Positionen mit FX OK/not_needed\n* Positionen mit missing FX\n* Positionen mit Market Price OK\n* Positionen mit missing Market Price\n* Positionen mit vollständiger CHF-Bewertung\n* aktive Alerts nach Kategorie\n* keine Preise, Mengen, Werte\n\n## C8 — Nach Abschluss\n\nBitte ausführen:\n\n* Compile\n* pytest\n* Git-Safety\n* Git Status\n\nWenn Code geändert wurde:\n\n* Commit mit sinnvoller Message\n* Push auf main\n\nBitte berichten:\n\n* implementierte Module\n* neue/geänderte Dateien\n* Tests\n* Testergebnis\n* Git-Safety\n* Commit Hash\n* Push Status\n* FX-Status aggregiert\n* Market-Price-Status aggregiert\n* Data-Quality-Status aggregiert\n* nächste Empfehlung\n\nWichtig:\nNoch keine weiteren True-Wealth/PostFinance/Raiffeisen-Positionen importieren, bis die drei bereits importierten True-Wealth-Positionen sauber hinsichtlich FX und Market Price behande\nlt werden.", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|\", \"total_lines\": 2, \"file_size\": 36, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_dnfX7xiv4RZ803TpnGLDGPOk", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_6b1aCYCmyM6aOIqpzdLVvW3C", "call_id": "call_6b1aCYCmyM6aOIqpzdLVvW3C", "response_item_id": "fc_0c76e56576ffc0fb016a07015dc7d88191a509a0ac8d0ed7d1", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":320,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/cache.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|\", \"total_lines\": 2, \"file_size\": 36, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_6b1aCYCmyM6aOIqpzdLVvW3C", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_C4BOwdRT8ezmWwSgUzxqs7rO", "call_id": "call_C4BOwdRT8ezmWwSgUzxqs7rO", "response_item_id": "fc_0c76e56576ffc0fb016a07016895b881919d705fe459bdfc2e", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":320,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market/providers.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "read_file", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market/providers.py from line 1 (17,428 chars)", "tool_call_id": "call_C4BOwdRT8ezmWwSgUzxqs7rO", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering schema creation**\n\nI think I need to generate an initial string for the schema. I'll start by adding a table for instrument price mappings. We have existing market prices, but I'm wondering if I should include the provider market as well. It might be a good idea to add that. I’ll also need to figure out the main command for the Command-Line Interface (CLI). Let's get this organized!", "finish_reason": "tool_calls", "reasoning_content": "**Considering schema creation**\n\nI think I need to generate an initial string for the schema. I'll start by adding a table for instrument price mappings. We have existing market prices, but I'm wondering if I should include the provider market as well. It might be a good idea to add that. I’ll also need to figure out the main command for the Command-Line Interface (CLI). Let's get this organized!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwFv9SfFS8A0fZf276GAh7D2jiLFSRJiCLvvhUnsTjHfUH9R6b7cYKVCA5M_Ol65zCmKw8nLkDcCcYhM5Qs32M2Ut15IepCsNRCm-dH-0xpx4xtdOJazq1S2PWSoRrULaRHuucEahf-3PqNL-MoCbqktZBtaIj1W7srWNymU9fQ4n75dtj5U0nr8Doq2B_9l-nhTx9t14N-gia94iuWCCqcnWhs3Pkd5VoeXHXiG4sG1ER9cSd8Hht3LilWchj7JkHZ2SQyDnsULW04VVDovuaixNe8UBOPbWTG6qD1GBaMMq8SLDymfF0fX5FzzJ7pVihD2JtSMeon0OnIQe4PrmNCKAYDUfnHaiNMpz3HFATgD5qBYkjWp9QXLXuE4ZhIcT9W9_tpLiun8zfNKF2T-ceesstdShi25wYcvXlgaQD66ztt0kOWnCFCBZ1SS1Iw1oZw53VR933XSVwuAZKlKL1AINaQn9xZLhFoDH01G25rT_nv7-E0HKTa-kz-wQxghTpfUBP2cqPVpETitdZETUnOApvhjCKMv-y4na7vJ0hZZG_fDvtS0_biOXDDY4mBftGeJe1cqTWMHmowPicTVzFBcYQNhG_IaPCVqfp-KK2rfgMfa8heXCzRiKVpwTTeOxCIIWNCyGNcpKqWK6WaOqTIRSvd9m5RaRRflwMZ34koTWeLA84ebuztYtIBv59X-8Cq_hNFjEHIIGCm0SUCwKgz7CY6y-xWTJHU5kuehjR6BwuewqP0_z6qOWKe_K4qJ2idkup7lnMLiKa3dT6p2OgvbSwT1cq81VxyL4Y2ucmZIeaCp0ON-Vg-LARoUsfehVQNgi3LeIioFHzgNoWbjItLRPVeErUuHNXh2Wa76HGG_W-WqnkbWuueGizq1w1o3IzKH5BO2HIvX2t7ICRHOR1_iTVjmzMrtCp4fZIoVV9w6T8hlxfPiBrQtd7lSf6b_VL_IMH_kQyhYq2Zbdt2qHeeODkdBEX_IY0NJT-qscatqO3yFluQeMN5Lqv5bxLWH2JaA95oFhUM_Bi3PuHuMaX9R__Gq7a9_4ha1YIoFEILfLxrfyAVoIlIcivr20O0ODGfpO0mzDK6xw97s8Suq_9KZjjLbFY3EhaXHoJwb9mA89B-EOsGszOxN9PQIKWMOGlYcpny3jKmgDsTWnkFQu7npylH9m4OC3tPkxD0x82msRjA=", "id": "rs_0c76e56576ffc0fb016a07016cd0008191ad1f028ff91e6e9e", "summary": [{"type": "summary_text", "text": "**Considering schema creation**\n\nI think I need to generate an initial string for the schema. I'll start by adding a table for instrument price mappings. We have existing market prices, but I'm wondering if I should include the provider market as well. It might be a good idea to add that. I’ll also need to figure out the main command for the Command-Line Interface (CLI). Let's get this organized!"}]}], "tool_calls": [{"id": "call_dFLnlU3oAePMOt2CsclCQjER", "call_id": "call_dFLnlU3oAePMOt2CsclCQjER", "response_item_id": "fc_0c76e56576ffc0fb016a07016f597c819191d8a876ba0b58ce", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":360,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "read_file", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py from line 1 (8,779 chars)", "tool_call_id": "call_dFLnlU3oAePMOt2CsclCQjER", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering TDD implementation**\n\nI'm thinking about how to implement Test-Driven Development (TDD). My plan is to write tests first, starting with the components in a single file. Once that's done, I can implement the code needed. I wonder if I could use execute_code to write those tests. I also need to inspect the dashboard pages and the data there. It might help to evaluate what fields the positions have too!", "finish_reason": "tool_calls", "reasoning_content": "**Considering TDD implementation**\n\nI'm thinking about how to implement Test-Driven Development (TDD). My plan is to write tests first, starting with the components in a single file. Once that's done, I can implement the code needed. I wonder if I could use execute_code to write those tests. I also need to inspect the dashboard pages and the data there. It might help to evaluate what fields the positions have too!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwF2fnhHlqDobKRovEbbIQalIgecKHpurTUv6Qo78qwGT5Zbt1IaWJG957Ywybri4t8-2mkPdnEP02EuD4qVJSrGppENV9bNnLix8-wFw-quGw23MYZ8vJQMmBwkbwAfJofFl4vpiuDYSrrMes4SN4WkeZIF4OplITvE53aWSr5zqPwqtU2SQWnofj5vVo87lT_ZaQpFvSjdBp-TkePQSZ1T8pKh4EE4lRLFWyUVPyCJW9mtFYnGexvbwxjN0TICm97NhPF7jl_ZlZR6YY5sPNRDjUeD9BItH12Lq_x60jbeZVPeGtwUkM6NxpRMbpHfxvgYESQenuSrGL1k8dhm3jOBUm1MA6n21o5XctjlHuE3XSMBs6RUES64sjt7hYtzF3kmY9oZ2JHyqMgxOSJj9t7Q8OYA_Fes_wCQMeCCwKfbAkT27q8uctG7WtbaW9ma9GCAEYiUS6SDi5X0ZtSbfWs0_zzE834QGspgaz4PQVaTkRRddRvJ-jHKioIOWp6rXY9baGkR9xkE_fgCV8bxsu_g5W4Rgpd1qY91-4Jp4vbccJC1WpICDBbhlupAswp2NSGxZ4We30fBSRD3ogYJjYfoNmJAqeVKRh4OSxkdtvksZLG2_54eYmtAWE7ZRs1yHCPjZAvRj2ivyPgepvJB2iArXw5pD1kVIbqivPNse7pBduIY-4MdtEs_5x6-9k8iCiNS0srYNSbj5WNRZeBTDLbv8x16Ywr9WeMM9_eobZUrdBqvzi86gCAeyNRhy2i7N9vRPEzmic5zh84Z7Tle53f_fVHRVZYcSZe0lweqFgft_lI99a6LzU2z-APKH9koqzIhbM_QaGoMPTfw_PrPR06llsMPZygVNqNJcbdqCKlBode1TIOfkTAhNiY_ISjKrFwj65Vp1sOYwYugsIDFLkolJo79dJxGr9I8YrBIVv7LV_7b0bwr5pgH77aK0sAFrF_7-G1e6wI6sEJKW7H0dTBDvJMuod46s5sNkuH_9xJBLTvukpOyerOAk4O2ssW1qFOddxL-TlvIxwd4xVN0g43YH9L4tpXA0KQptCOzlvOlKoakBamce2vSdU3lOAMzDVvmeqfijbZ9PBdgXJ1p6mSLH_fJpTqP6to3hh32Z_ap_SyQ-Vbe1eXw9N_gMszvnQsO1KS1H4FoNT3SJ2yqtg3R-Td1G6fQ48gOQGybcJus7wF_C8U-dTxBexQIzCY7i49x", "id": "rs_0c76e56576ffc0fb016a07017342f88191855a8d0b7591acf5", "summary": [{"type": "summary_text", "text": "**Considering TDD implementation**\n\nI'm thinking about how to implement Test-Driven Development (TDD). My plan is to write tests first, starting with the components in a single file. Once that's done, I can implement the code needed. I wonder if I could use execute_code to write those tests. I also need to inspect the dashboard pages and the data there. It might help to evaluate what fields the positions have too!"}]}], "tool_calls": [{"id": "call_LGHjeKNgyVGwQF7dkiR52LyU", "call_id": "call_LGHjeKNgyVGwQF7dkiR52LyU", "response_item_id": "fc_0c76e56576ffc0fb016a0701760668819197fc528843667d47", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":280,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "read_file", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py from line 1 (11,868 chars)", "tool_call_id": "call_LGHjeKNgyVGwQF7dkiR52LyU", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Planning valuations and tests**\n\nI'm looking to assess the latest quality status and possibly use fresh data. It seems I’ll need to create alert snapshots based on cost basis. To ensure everything is in check, I think it’s best to write tests first, even if the existing code might pass some of those. I'll focus on writing tests for the new modules to catch any potential failures. Let's make sure everything is well-prepared!", "finish_reason": "tool_calls", "reasoning_content": "**Planning valuations and tests**\n\nI'm looking to assess the latest quality status and possibly use fresh data. It seems I’ll need to create alert snapshots based on cost basis. To ensure everything is in check, I think it’s best to write tests first, even if the existing code might pass some of those. I'll focus on writing tests for the new modules to catch any potential failures. Let's make sure everything is well-prepared!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwF8ADGGnzOkertajp3XPF95V0K9p1AR1k2iBeQHIMrURWG55Dk5GUl4a-vtRz3r-GDiRLleGxIvL6nsS-mQ0Kr91l0AfhhmyH056YJoCKXHvPK6Je7rfT5eRjTfH6Dh-itjlpYk8CBUdpWjHB9dDKKzr-YnUKoIquHseUEvGZkaIPZRg3ptWs6Pn2ZIudEwXv_U2R34F320lnLxV0uoITSMVR1AnOfzHtLTpH-8Krd-tHQhlKHnSepQ8OBm644j6I4bjDhW809pdQIq9MwTVDhbQNidgR5iNsbfVLBsfjCKSbh4WwwMOe1Rjq0AR6ZISkCcZbX7kcpCKn8PKSqLebR3KUQuoXa-eFiMOO8F29XVNvzgvxZORKl3mylF1lVnw0rEDh9omjedvIbY1Ve9GX3jKjTrF8NCBN3hKl4ikbwUiH0nJrLKQumMTZr1WNz0NBk1qRgT6Nl2KKBthPKws-QeEFMAWOD1kbhjQpErRK6XGA1x63GLrolCTRl7xaLLIXp6kak-TZfREBh0tNnKvjsEJUd6HFFOAZatv72orPtY0HyzxGbFHtw-sLzjTE21HUpkktN3T_dCVOZcK9Qb_egX2EVjix62XWAoMVnN_84i0IyBwvKKb--dfXgNpfgB5b_lie5IRbNQ9vglIu07VWxUhGpcX8aoKCCZ7BdKdBE7rJXLowSk4k31CpKLLQbYhxJtPZ-qqc-NbjEqlJicwKGcvvFGVrVBATaOeZ-CBZ-6mT1IG5yIRvB2zCiJqvoT-k2jVTK9fl-c4Eacy6J8qkzJSSb6okGvbtkHmcwolLAfkw8Uge3gmEQYmZ-eM_fF0HsIRNcVlddULHN83DwJdH0_DKqNVbYg5nidFKZZXW5gcvNQ7ebDy1hh0MOt8go3aQ8HjyOrWxQJbVXhyrpShp0JTC7GWxN4PMwi1NSGm6qtZVR_COHbPyJ6bklqGYyn8UkFqbEvEi8O9VHGlz9mFQl0TN9mROSaNiUAw6k0E7yryuHxCUkMvkKhNa1_CnpXcZ24bT1PXNmSuit-yPFLHZwfAx52Kg1OlA85wakwNguehJJldgQ80W2xl1suYt5uTNXica7sRilADRIj_65_EkZdhoifkXB7xdRjTBL7MJahjRE-MlJJbsCf3-VTJfGNkUQMxOtuExxP5lTFEGfJ273YBi76LIGIxP6i0kwxGMpc27fqIL9b3_mxhFqn1xNFvWQmdodfOF-yNFce_3JFtyKtxA5Ph65ZMx0m68iRcmHsq-4fzJhv-oviZzdfsUKMjlMw", "id": "rs_0c76e56576ffc0fb016a070179434c819197be0278609b8f04", "summary": [{"type": "summary_text", "text": "**Planning valuations and tests**\n\nI'm looking to assess the latest quality status and possibly use fresh data. It seems I’ll need to create alert snapshots based on cost basis. To ensure everything is in check, I think it’s best to write tests first, even if the existing code might pass some of those. I'll focus on writing tests for the new modules to catch any potential failures. Let's make sure everything is well-prepared!"}]}], "tool_calls": [{"id": "call_IpensvIFxMjnN2q5Yd1Hxa10", "call_id": "call_IpensvIFxMjnN2q5Yd1Hxa10", "response_item_id": "fc_0c76e56576ffc0fb016a07017c31108191a578242cbe663f94", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\", \"content\": \"from __future__ import annotations\\n\\nfrom decimal import Decimal\\n\\nimport pytest\\n\\nfrom jarvis_finance.fx.rates import get_fx_rate_to_chf, update_fx_rates, upsert_fx_rate\\nfrom jarvis_finance.fx.overrides...[truncated]\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 8820, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_IpensvIFxMjnN2q5Yd1Hxa10", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "terminal", "content": "[terminal] ran `cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src pytest -q tests...` -> exit 2, 1 lines output", "tool_call_id": "call_G1ruii29eUhKcODs7jzB4CJk", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Implementing migrations and helpers**\n\nI need to implement migrations for version 9 and create a table. I want to ensure I know the necessary helpers to do this effectively. One of my tasks is to deduplicate alerts with the `create_alert` function. I should probably investigate any specific requirements for these migrations and how to integrate the helpers smoothly into the process. Let's make sure that everything aligns well to avoid issues later!", "finish_reason": "tool_calls", "reasoning_content": "**Implementing migrations and helpers**\n\nI need to implement migrations for version 9 and create a table. I want to ensure I know the necessary helpers to do this effectively. One of my tasks is to deduplicate alerts with the `create_alert` function. I should probably investigate any specific requirements for these migrations and how to integrate the helpers smoothly into the process. Let's make sure that everything aligns well to avoid issues later!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwGvU6tBrdL32xInjvoFinPf6aVkaFizrF8UQqlFUUAEu3JyXpvH4SYv_E1GaNmts-FoBxyHae8qQJMHbCswEVW3ciReUcGBIscd02468NtO3KMtYwtluh39Xg0S8unjzQEN-o5QKQRGHc-6tBruetdO_rGID3UiXG6ceu4kl8hRaIHCmGjj0Cz9X4F4wmTIfrgzj-OzBBiebKK1Rg1l2KgOXwTedXlk-kOT5WYGXBU0l3AF-NsWHWFrSveBqQQKflgnEDR6lL9H3UU22sIlFd7NbdJuOXV1FOJWv3R20AXhp_0I217v70nlxO68xQ1GJmB1WNc45yn-QlnIkVnVhzmjKmfrQ7_A8Qv86YhzdL_wmtajucKoYq7CLBBKRZA_GUcdcE9it8cwolPDs65_a0RwbcS8z0cZAZIzWu9RGYDvYOUyKkswfGXtZAzCuWsSijEeAsfs3dz08zSk18GNiIqaadQkHEQPImE65d3Cf86ZzAN7qMDEqL81w8_wT8Dijop8tJP06TYpMIMckrHl6kt7mUZvYisb-QMC88OQ55-nZp25OfwoBzqXNkD4fcnoVSx0lGEZg6x8YRZEgNa_GeSfO6sx-3og7NGW4k1mexQLanqjt7hPYYoM8talp-y69MG0DLRDdZWqhqnQjEqvsJ5BLzY0lFMxFJRb9Mmp4l49ZWRuY-8mY9aoezz_tLrMWYlixXuRpks7T4_MbjobK3nWCNaOhyDgwEJ_V449Dy4KD7Dvb5JMe9zSHHxqUzUhSui5gMoSdJGS5271C8wmKnZ9JgcbCZUPTWiHoHmIgGOdgQcETTpHnSPIR20W3ELcNZef03W5RznGkad4DWQxz4XXuxJhHQ1JOgvKobLPiRP28LM5Pi_4JePoIJseP6EjybLr3iimdXXHHROtC0uZwYii9eM1EIaHZ3Sp3iEuRjqCc2-KXcbrYBlyjcKsnZWgkBM6Lh-rvLCZQDRL5hmV8sOAp4ZXRjt7uwIfOhwCxqteRE3yAwxpBqqcrTZ2wBNtl4ttZOezKGq49K8WXcpyDbHRsg==", "id": "rs_0c76e56576ffc0fb016a0701ad001c81919eb3329db1091207", "summary": [{"type": "summary_text", "text": "**Implementing migrations and helpers**\n\nI need to implement migrations for version 9 and create a table. I want to ensure I know the necessary helpers to do this effectively. One of my tasks is to deduplicate alerts with the `create_alert` function. I should probably investigate any specific requirements for these migrations and how to integrate the helpers smoothly into the process. Let's make sure that everything aligns well to avoid issues later!"}]}], "tool_calls": [{"id": "call_AMY7kys9PMuw1QV67DFx0Her", "call_id": "call_AMY7kys9PMuw1QV67DFx0Her", "response_item_id": "fc_0c76e56576ffc0fb016a0701af4bc481919ea4652d572a3b31", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/quality/alerts.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Dwf2BX5CQORqYgIoqZCo0Gzd", "call_id": "call_Dwf2BX5CQORqYgIoqZCo0Gzd", "response_item_id": "fc_0c76e56576ffc0fb016a07023262ac8191ad1d7eab18a8eaff", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"from __future__ import annotations\\n\\nfrom dataclasses import dataclass, field\\nfrom decimal import Decimal\\nfrom sqlite3 import Connection\\nfrom typing import Protocol\\n\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.quality.alerts import create_alert\\n\\n\\n@dataclass(frozen=True)\\nclass EquityPriceQuote:\\n    provider_symbol: str\\n    currency: str\\n    close: Decimal | None\\n    provider: str = \\\"mock\\\"\\n    provider_market: str | None = None\\n    price_timestamp: str | None = None\\n    adjusted_close: Decimal | None = None\\n    quality_status: str = \\\"fresh\\\"\\n    error_message: str | None = None\\n\\n\\n@dataclass\\nclass MarketPriceRefreshResult:\\n    asset_class: str\\n    total_mappings: int = 0\\n    updated_count: int = 0\\n    skipped_count: int = 0\\n    cached_count: int = 0\\n    stale_count: int = 0\\n    warning_count: int = 0\\n    error_count: int = 0\\n    dry_run: bool = False\\n    warnings: list[str] = field(default_factory=list)\\n    errors: list[str] = field(default_factory=list)\\n\\n\\nclass EquityPriceProvider(Protocol):\\n    name: str\\n    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote: ...\\n\\n\\nclass MockEquityPriceProvider:\\n    name = \\\"mock\\\"\\n\\n    def __init__(self, prices: dict[str, Decimal | str | None], *, currency: str = \\\"USD\\\") -> None:\\n        self.prices = {k: (Decimal(str(v)) if v is not None else None) for k, v in prices.items()}\\n        self.currency = currency.upper()\\n\\n    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n        if provider_symbol not in self.prices or self.prices[provider_symbol] is None:\\n            return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=None, quality_status=\\\"missing\\\", error_message=\\\"price missing\\\", provider=self.name)\\n        return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=self.prices[provider_symbol], provider=self.name)\\n\\n\\ndef _resolve_market_alerts(conn: Connection, *, instrument_id: str) -> int:\\n    now = utc_now()\\n    rows = conn.execute(\\\"SELECT alert_id FROM alerts WHERE status='active' AND entity_type='instrument' AND entity_id=? AND rule_id IN ('missing_market_price','stale_market_price')\\\", (instrument_id,)).fetchall()\\n    for row in rows:\\n        conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?\\\", (now, now, row[\\\"alert_id\\\"]))\\n    return len(rows)\\n\\n\\ndef store_market_price(\\n    conn: Connection,\\n    *,\\n    instrument_id: str,\\n    price_date: str,\\n    close: Decimal | None,\\n    currency: str,\\n    provider: str,\\n    provider_symbol: str | None,\\n    provider_market: str | None = None,\\n    price_timestamp: str | None = None,\\n    adjusted_close: Decimal | None = None,\\n    quality_status: str = \\\"fresh\\\",\\n    error_message: str | None = None,\\n) -> str:\\n    now = utc_now()\\n    market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n    conn.execute(\\n        \\\"\\\"\\\"\\n        INSERT INTO market_prices(\\n            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        \\\"\\\"\\\",\\n        (\\n            market_price_id,\\n            instrument_id,\\n            price_date,\\n            price_timestamp,\\n            format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n            format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n            currency.upper(),\\n            provider,\\n            provider_symbol,\\n            quality_status,\\n            now,\\n            provider_market,\\n            error_message,\\n        ),\\n    )\\n    if quality_status in {\\\"missing\\\", \\\"stale\\\", \\\"error\\\", \\\"conflict\\\"} or close is None:\\n        rule = \\\"stale_market_price\\\" if quality_status == \\\"stale\\\" else \\\"missing_market_price\\\"\\n        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=rule, message=\\\"Instrument local market price is not fresh.\\\", evidence={\\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol, \\\"price_date\\\": price_date, \\\"quality_status\\\": quality_status}, fingerprint=f\\\"{rule}:{provider}:{provider_symbol}\\\")\\n    elif quality_status == \\\"fresh\\\":\\n        _resolve_market_alerts(conn, instrument_id=instrument_id)\\n    conn.commit()\\n    return market_price_id\\n\\n\\ndef refresh_market_prices(\\n    conn: Connection,\\n    *,\\n    provider: EquityPriceProvider,\\n    asset_class: str,\\n    price_date: str | None = None,\\n    only_missing: bool = False,\\n    only_stale: bool = False,\\n    only_isin: str | None = None,\\n    limit: int | None = None,\\n    dry_run: bool = False,\\n) -> MarketPriceRefreshResult:\\n    asset = asset_class.lower()\\n    result = MarketPriceRefreshResult(asset_class=asset, dry_run=dry_run)\\n    query = \\\"\\\"\\\"\\n        SELECT m.*, i.asset_class, i.isin FROM instrument_price_mappings m\\n        JOIN instruments i ON i.instrument_id=m.instrument_id\\n        WHERE LOWER(i.asset_class)=? AND m.mapping_status='mapped' AND m.provider_symbol IS NOT NULL\\n        ORDER BY i.isin, m.provider_symbol\\n    \\\"\\\"\\\"\\n    mappings = conn.execute(query, (asset,)).fetchall()\\n    if only_isin:\\n        mappings = [m for m in mappings if (m[\\\"isin\\\"] or \\\"\\\").upper() == only_isin.upper()]\\n    if limit is not None:\\n        mappings = mappings[:limit]\\n    result.total_mappings = len(mappings)\\n    effective_date = price_date or utc_now()[:10]\\n    for mapping in mappings:\\n        latest = conn.execute(\\\"SELECT * FROM market_prices WHERE instrument_id=? AND quality_status='fresh' ORDER BY price_date DESC, created_at DESC LIMIT 1\\\", (mapping[\\\"instrument_id\\\"],)).fetchone()\\n        if only_missing and latest:\\n            result.cached_count += 1\\n            continue\\n        if only_stale and latest and latest[\\\"price_date\\\"] >= effective_date:\\n            result.cached_count += 1\\n            continue\\n        quote = provider.get_price(mapping[\\\"provider_symbol\\\"], price_date=effective_date)\\n        status = quote.quality_status\\n        if not dry_run:\\n            store_market_price(\\n                conn,\\n                instrument_id=mapping[\\\"instrument_id\\\"],\\n                price_date=effective_date,\\n                close=quote.close,\\n                currency=quote.currency or mapping[\\\"currency\\\"],\\n                provider=quote.provider or provider.name,\\n                provider_symbol=mapping[\\\"provider_symbol\\\"],\\n                provider_market=mapping[\\\"provider_market\\\"],\\n                price_timestamp=quote.price_timestamp,\\n                adjusted_close=quote.adjusted_close,\\n                quality_status=status,\\n                error_message=quote.error_message,\\n            )\\n        if quote.close is not None and status == \\\"fresh\\\":\\n            result.updated_count += 1\\n        elif status in {\\\"missing\\\", \\\"stale\\\"}:\\n            result.warning_count += 1\\n            result.warnings.append(mapping[\\\"instrument_id\\\"])\\n            if status == \\\"stale\\\":\\n                result.stale_count += 1\\n        else:\\n            result.error_count += 1\\n            result.errors.append(mapping[\\\"instrument_id\\\"])\\n    if not dry_run:\\n        conn.commit()\\n    return result\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 7286, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Dwf2BX5CQORqYgIoqZCo0Gzd", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Managing market positions**\n\nI'm recognizing that I need to set positions using a fresh or okay status for the FX market. I also need to edit the latest market selection to indicate a quality status of fresh or okay. There’s some uncertainty with the initial snapshot cost basis—do I also need to check the CHF updates? If the user mentions false positives in the audit, I need to clarify there aren’t any issues, plus avoid circular dependencies in the FX rates.", "finish_reason": "tool_calls", "reasoning_content": "**Managing market positions**\n\nI'm recognizing that I need to set positions using a fresh or okay status for the FX market. I also need to edit the latest market selection to indicate a quality status of fresh or okay. There’s some uncertainty with the initial snapshot cost basis—do I also need to check the CHF updates? If the user mentions false positives in the audit, I need to clarify there aren’t any issues, plus avoid circular dependencies in the FX rates.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwJfc5tgUbFhOBPDcGiXIlZW1pNmYcaNEAMYbW14ehub3BcER1xll0OBHYvP6yjFsJNH1HhbG6mmM9TyhBBkmX4-XLr2XUMXRgaMrw8f13c9CMdDaM-kvzWRCPqyWzhhTQFu3vxEnXCV4fOBXDNkleq52fH_yJqgGYTI8QM04aOtyyt1NXL5GZDrnuctQHp1mTuJPjWXuszdG1VkrNBfWJsdaqMGxpdIx7qGp5LGPq1-DYZBBGXIfJu_K-G5FPismHFQ1uVgJm1sNNftMoO3eoKpQpcaz-XvUKjYxhS3uwu-UTWzhokQl7fVS5UrMOCkTbQLpQqtsGJFjDx5_vhAKQjawIHfmOo8yC8hcBxsU5pbspyFax7goBToykzYqmJYZoKM83dgrMwrcOvIDYJMPl-yH2S9Zb7K1QGDgj41Sei0LpXgt-eBSSkwHJgBofwYA7lT2A2luywIEdZcIYOsGG6ap5tGN4_KHirD09RzXnxT7tWGp0-Nf40B0cNZjckoUpExhA2rwE4UoZpA3M4Zq1kazhH-E8rSfb8PUHA_kdOwN3UBK9eX-KO6JP5dUe66N8nOM8ZvOk9C9HBQ8nFvOncSMQCinaca16jzt_sqY6WnyYSuFIynth0-uW6SNTLkuQpcM-lGArmLNqXVsgq9k7xITBonbtVv4U7eTWe8WcBTYlHjsxYMihn-iypDQucG92g6OaiICUX4DCiy_Gp-wFU2FY38DV0RIByEhW3FT9oLic0F0xhJzTF53WlmQ4jzddBMU3o1G59QA09-26UJvVSoz-CHnxosqiV64ibaetmjbBvWozuRRM9ip5EW7fR7uIAcX9B7TSxqrHWW4aIEEAt3oWOGgBHSfD8AoAA_qEmyQ4i5Snf3YS5QFNwSLodP4nUc_vKGqHBbuFx4OWqw3FqFNqq0fEBhZ1ouSkLy5k1I7Et13A2u68nOs7BO7cFB2K49cOVdpAqOEU0xrBUdY8WKpPTqY7uwIR6rQI8hvh4w3YCqiMcz9kWB8dIraN-z6GPklnzUsaykgYo1TMuH2eIk8A7OGEj-ttQ-zO_H4lJEJHqCBcsKA9Fb_LDVPfRUTxOHz8Nc5L34P-HinZzu-jHXvqEG3P3rpXKkMnsfUzpY73OHkDwl1kntxbLqBCswOJJHoCKztd9jUDxRbK065pdBLFOobLOlm8FbyGs_P5bPvzhRnNWyb3xe_N2_I-k9Amfxl2N1cv-t0mFcs24PYcd2vZAJXBKMa0-vkQp9ClC72SaCFSDbsfZYLVb2yZxunGHx0wKcw03BodZxD72cIUVq4qZmhEP4OtPdDzJ95Lgl6hTVEmB4qbnCya0YzZQnRz5-LNB_s-izuIhm5PLTUEFXatEZMpMLoGVuRiIxdQa3fXaR19X9BnuolvqnJsq3JtNB", "id": "rs_0c76e56576ffc0fb016a07025ba0fc819187be9e74e79fed56", "summary": [{"type": "summary_text", "text": "**Managing market positions**\n\nI'm recognizing that I need to set positions using a fresh or okay status for the FX market. I also need to edit the latest market selection to indicate a quality status of fresh or okay. There’s some uncertainty with the initial snapshot cost basis—do I also need to check the CHF updates? If the user mentions false positives in the audit, I need to clarify there aren’t any issues, plus avoid circular dependencies in the FX rates."}]}], "tool_calls": [{"id": "call_gs1MQirIgtmAdLkRwFakl90P", "call_id": "call_gs1MQirIgtmAdLkRwFakl90P", "response_item_id": "fc_0c76e56576ffc0fb016a07025fbc288191bc8c8b5e47af9343", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.quality.alerts import create_alert\\nfrom jarvis_finance.fx.rates import latest_fx_rate\",\"old_string\":\"from jarvis_finance.quality.alerts import create_alert\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -7,6 +7,7 @@\\n from jarvis_finance.audit.log import record_audit_event\\n from jarvis_finance.imports.common import stable_id, utc_now\\n from jarvis_finance.quality.alerts import create_alert\\n+from jarvis_finance.fx.rates import latest_fx_rate\\n \\n from .cost_basis import WeightedAverageLot\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_gs1MQirIgtmAdLkRwFakl90P", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_2DuesTqaKUos2MsdwUx8Ng92", "call_id": "call_2DuesTqaKUos2MsdwUx8Ng92", "response_item_id": "fc_0c76e56576ffc0fb016a07026722688191973497ca1b419682", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"            SELECT close, currency FROM market_prices\\n            WHERE instrument_id=? AND price_date <= ? AND quality_status IN ('fresh','ok')\",\"old_string\":\"            SELECT close, currency FROM market_prices\\n            WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -59,7 +59,7 @@\\n         return conn.execute(\\n             \\\"\\\"\\\"\\n             SELECT close, currency FROM market_prices\\n-            WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'\\n+            WHERE instrument_id=? AND price_date <= ? AND quality_status IN ('fresh','ok')\\n             ORDER BY price_date DESC, created_at DESC LIMIT 1\\n             \\\"\\\"\\\",\\n             (instrument_id, as_of_date),\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_2DuesTqaKUos2MsdwUx8Ng92", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_egWSKUBWwyQxZVcfQpbYdl8E", "call_id": "call_egWSKUBWwyQxZVcfQpbYdl8E", "response_item_id": "fc_0c76e56576ffc0fb016a07026d892c8191abb8a6ab28e4bfc0", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"        SELECT close, currency FROM market_prices\\n        WHERE instrument_id=? AND quality_status IN ('fresh','ok')\",\"old_string\":\"        SELECT close, currency FROM market_prices\\n        WHERE instrument_id=? AND quality_status='ok'\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -67,7 +67,7 @@\\n     return conn.execute(\\n         \\\"\\\"\\\"\\n         SELECT close, currency FROM market_prices\\n-        WHERE instrument_id=? AND quality_status='ok'\\n+        WHERE instrument_id=? AND quality_status IN ('fresh','ok')\\n         ORDER BY price_date DESC, created_at DESC LIMIT 1\\n         \\\"\\\"\\\",\\n         (instrument_id,),\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_egWSKUBWwyQxZVcfQpbYdl8E", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_BJ7ioEgCpQHVp6nApcTg6fHB", "call_id": "call_BJ7ioEgCpQHVp6nApcTg6fHB", "response_item_id": "fc_0c76e56576ffc0fb016a070273dc048191bc47f6f13665198e", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"        elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n            income_original = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else gross - fee - tax\\n            if fx is not None:\\n                pos.income_chf += income_original * fx\\n                pos.fees_chf += fee * fx\\n                pos.taxes_chf += tax * fx\\n        if t == \\\"initial_position_snapshot\\\":\\n            _add_warning(conn, pos, \\\"snapshot_only\\\", \\\"Initial snapshot lacks full transaction history; performance is incomplete.\\\")\\n            if gross == 0 or fx is None:\\n                _add_warning(conn, pos, \\\"cost_basis_uncertain\\\", \\\"Cost basis is uncertain for this initial snapshot.\\\")\\n\",\"old_string\":\"        elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n            income_original = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else gross - fee - tax\\n            if fx is not None:\\n                pos.income_chf += income_original * fx\\n                pos.fees_chf += fee * fx\\n                pos.taxes_chf += tax * fx\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -137,6 +137,10 @@\\n                 pos.income_chf += income_original * fx\\n                 pos.fees_chf += fee * fx\\n                 pos.taxes_chf += tax * fx\\n+        if t == \\\"initial_position_snapshot\\\":\\n+            _add_warning(conn, pos, \\\"snapshot_only\\\", \\\"Initial snapshot lacks full transaction history; performance is incomplete.\\\")\\n+            if gross == 0 or fx is None:\\n+                _add_warning(conn, pos, \\\"cost_basis_uncertain\\\", \\\"Cost basis is uncertain for this initial snapshot.\\\")\\n     for key, lot in lots.items():\\n         pos = result.positions[key]\\n         pos.quantity = lot.quantity.normalize()\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_BJ7ioEgCpQHVp6nApcTg6fHB", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ukkQe9o8CF9ByXCRcUMkHEsw", "call_id": "call_ukkQe9o8CF9ByXCRcUMkHEsw", "response_item_id": "fc_0c76e56576ffc0fb016a07027d8ed48191b710677133b10c64", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"            # MVP: use only local FX data; dashboards never call providers during render.\\n            if market[\\\"currency\\\"] == \\\"CHF\\\":\\n                pos.market_value_chf = pos.market_value_original\\n                pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n            else:\\n                fx_row = latest_fx_rate(conn, base_currency=market[\\\"currency\\\"], quote_currency=\\\"CHF\\\", rate_date=as_of_date)\\n                if fx_row:\\n                    market_fx = _d(fx_row[\\\"rate\\\"])\\n                    pos.market_value_chf = _money(pos.market_value_original * market_fx) if pos.market_value_original is not None else None\\n                    if pos.market_value_chf is not None:\\n                        pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n                else:\\n                    _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n        if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings and \\\"cost_basis_uncertain\\\" not in pos.quality_warnings and \\\"snapshot_only\\\" not in pos.quality_warnings:\",\"old_string\":\"            # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.\\n            if market[\\\"currency\\\"] == \\\"CHF\\\":\\n                pos.market_value_chf = pos.market_value_original\\n                pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n            else:\\n                _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n        if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\\n@@ -158,13 +158,20 @@\\n         else:\\n             pos.market_price_original = _d(market[\\\"close\\\"])\\n             pos.market_value_original = _money(pos.quantity * pos.market_price_original)\\n-            # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.\\n+            # MVP: use only local FX data; dashboards never call providers during render.\\n             if market[\\\"currency\\\"] == \\\"CHF\\\":\\n                 pos.market_value_chf = pos.market_value_original\\n                 pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n             else:\\n-                _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n-        if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings:\\n+                fx_row = latest_fx_rate(conn, base_currency=market[\\\"currency\\\"], quote_currency=\\\"CHF\\\", rate_date=as_of_date)\\n+                if fx_row:\\n+                    market_fx = _d(fx_row[\\\"rate\\\"])\\n+                    pos.market_value_chf = _money(pos.market_value_original * market_fx) if pos.market_value_original is not None else None\\n+                    if pos.market_value_chf is not None:\\n+                        pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n+                else:\\n+                    _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n+        if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings and \\\"cost_basis_uncertain\\\" not in pos.quality_warnings and \\\"snapshot_only\\\" not in pos.quality_warnings:\\n             pos.total_return_chf = _money((pos.unrealized_pnl_chf or Decimal(\\\"0\\\")) + pos.realized_pnl_chf + pos.income_chf - pos.fees_chf - pos.taxes_chf)\\n         else:\\n             pos.total_return_chf = None\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ukkQe9o8CF9ByXCRcUMkHEsw", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Running tests for dashboard data**\n\nI need to check the dashboard data and see if the `get_positions` function returns any warnings related to quality. I think running a test is the right approach here to verify that everything is functioning correctly. Testing now should help identify any underlying issues or reassure me that the data is reliable.  It's important to ensure the integrity of the dashboard data for accurate insights. Alright, let’s get to it!", "finish_reason": "tool_calls", "reasoning_content": "**Running tests for dashboard data**\n\nI need to check the dashboard data and see if the `get_positions` function returns any warnings related to quality. I think running a test is the right approach here to verify that everything is functioning correctly. Testing now should help identify any underlying issues or reassure me that the data is reliable.  It's important to ensure the integrity of the dashboard data for accurate insights. Alright, let’s get to it!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwKNx5bnZ_O_hot5imY1goA6gQQubaiVoFxMR__WhcSASAL-9CaJX7o2wVLvJWUAL2NehbEW5qtRHwZ9pBVIzzEk94NsaE17kJJpGqEJ9PX6OjZIHZo9QTuAJnU4NzQ-FAHmTIJ2wGMFvBh9UnkuALUdJ7xhsBjRikGHoKJcgpKqcKJslHj646jDJsoqGI2nTBefUHQqi9PZy8SJyGInkjKHjbgVPkH-VI5ajV10w6gSApssxuDJpU1_M_wtSwBdvCmSe9ZBahf31uKNVttwFdVueeZraSxMFfutYgpLisl6BDfjn8EPaoHcnt1mcI1qSPo-6An3Nft26ReTtLFfD5edOulJot2o2sb9Ry-DdI73997T31xrEWAMr0qZWd9G7VVUDdJIxTXRs0LEI_nVY2OjqhgrgEN1TpqupwvwKPfAJ7wVTd9_brYk8pld9S3g96MWTw7NtEwX7GlKSy1t-nzmpgQBaOVb4vx4jiQvjwzS9cZHaR7DN3-kUZD9_GhqwnO94r2OXeIWjPxyHLl3Q6iYGLV1lmedYDf4g6huzn5WBFdXWMKeZchrVU6aknTH1ICymUuXB4rTE7e7qvktDz3mUOj2ccw8q1GyD0UdvnZJ3jZsMwXscqSNwO-uO2rVSSh9gqk3lsBOF8eyZv1BVd8gfxAfEvm4ysLEb5JpVhaOJZUWwA3gSDgIV6FPEx0sGpYc7U7oSNx1GLscYJpprDQnFudOMlryijBKWAKCtuelPQ8ay7Xt_S3EzaaZqBqROpLq4vMDEKcR3BvlU5AbuA2EMAfW-cn0mVoVKK3LTRiVEt81iiKid1cva1arHuJemd34jH2MKFJbufzppSdFClQwpO-c1odqLFnQDBEiC7SfvuJY7wsHA1oxkVDAcE25sM5UUvtUlJ98dRXUXCj1ZLKGzUVrvSmLSw0Dvzy-qzGfzgM585Uh2mSzb2w8jyxTBx9g3F9gmuEPT9NXYfEv26ah3Ea4oByKqraVS2yBmexdpBpCTBgcVkIndlMt7qrZvtmNlaYeDQ_22SzQ6X6N3BL0dg==", "id": "rs_0c76e56576ffc0fb016a07028ae91c8191ab97eb53e721e638", "summary": [{"type": "summary_text", "text": "**Running tests for dashboard data**\n\nI need to check the dashboard data and see if the `get_positions` function returns any warnings related to quality. I think running a test is the right approach here to verify that everything is functioning correctly. Testing now should help identify any underlying issues or reassure me that the data is reliable.  It's important to ensure the integrity of the dashboard data for accurate insights. Alright, let’s get to it!"}]}], "tool_calls": [{"id": "call_StMz31KJoIppyhl7o5LJVqY5", "call_id": "call_StMz31KJoIppyhl7o5LJVqY5", "response_item_id": "fc_0c76e56576ffc0fb016a07028dc91081918906ebabaab33446", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src pytest -q tests/unit/test_fx_market_data_phase_c.py\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".....FF.                                                                 [100%]\\n=================================== FAILURES ===================================\\n___ test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert ____\\n\\n    def test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> None:\\n        conn = setup_conn()\\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\\n        conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mp1','warnung','market_data','instrument','usd1','missing_market_price','missing','active','now')\\\")\\n        provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\\n    \\n        result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n    \\n        assert result.updated_count == 1\\n        price = conn.execute(\\\"SELECT close, quality_status FROM market_prices WHERE instrument_id='usd1'\\\").fetchone()\\n>       assert price['close'] == '10.25'\\nE       AssertionError: assert 10.25 == '10.25'\\n\\ntests/unit/test_fx_market_data_phase_c.py:106: AssertionError\\n____________ test_missing_and_stale_market_price_alerts_are_deduped ____________\\n\\n    def test_missing_and_stale_market_price_alerts_are_deduped() -> None:\\n        conn = setup_conn()\\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\\n        provider = MockEquityPriceProvider({'USETF.N': None})\\n    \\n        result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n>       result2 = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:117: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/market_data/prices.py:153: in refresh_market_prices\\n    store_market_price(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = <sqlite3.Connection object at 0x70569ccbe110>\\n\\n    def store_market_price(\\n        conn: Connection,\\n        *,\\n        instrument_id: str,\\n        price_date: str,\\n        close: Decimal | None,\\n        currency: str,\\n        provider: str,\\n        provider_symbol: str | None,\\n        provider_market: str | None = None,\\n        price_timestamp: str | None = None,\\n        adjusted_close: Decimal | None = None,\\n        quality_status: str = \\\"fresh\\\",\\n        error_message: str | None = None,\\n    ) -> str:\\n        now = utc_now()\\n        market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n>       conn.execute(\\n            \\\"\\\"\\\"\\n            INSERT INTO market_prices(\\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n            \\\"\\\"\\\",\\n            (\\n                market_price_id,\\n                instrument_id,\\n                price_date,\\n                price_timestamp,\\n                format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n                format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n                currency.upper(),\\n                provider,\\n                provider_symbol,\\n                quality_status,\\n                now,\\n                provider_market,\\n                error_message,\\n            ),\\n        )\\nE       sqlite3.IntegrityError: UNIQUE constraint failed: market_prices.instrument_id, market_prices.price_date, market_prices.provider\\n\\nsrc/jarvis_finance/market_data/prices.py:83: IntegrityError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_missing_and_stale_market_price_alerts_are_deduped\\n2 failed, 6 passed in 0.16s\", \"exit_code\": 1, \"error\": null}\n\n[Tool loop warning: repeated_exact_failure_warning; count=2; terminal has failed 2 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]", "tool_call_id": "call_StMz31KJoIppyhl7o5LJVqY5", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering data types for schema**\n\nI’m thinking about how the close type can be a float since the initial schema is defined as NUMERIC. I might want to add market_prices close to TEXT_AFFINITY, but it seems like the existing setup didn’t include that. It’s also important to think about adding it to TEXT. Plus, I need to remember to use UPSERT to ensure everything is patched correctly. There’s a lot to juggle here!", "finish_reason": "tool_calls", "reasoning_content": "**Considering data types for schema**\n\nI’m thinking about how the close type can be a float since the initial schema is defined as NUMERIC. I might want to add market_prices close to TEXT_AFFINITY, but it seems like the existing setup didn’t include that. It’s also important to think about adding it to TEXT. Plus, I need to remember to use UPSERT to ensure everything is patched correctly. There’s a lot to juggle here!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwKV2BP2WmXga9VlKJzI80Hr9qr5oRdkRzwmUYdXD4ZmHLhaT9UTBSivpsNA8q750XU7rAbYWYgtvfDrkeuM80YFGCahN2kWmCXW5fnI81Vj8tBG0b17AHm4wpJV94-bEiMtrPn7gfjUCIWjMzxRb1OHbnyCwIrXHRXwQ-DEsdlrx6Y7cUQJ6vjwqDWBkNwt9oygPc8_7vishi4o0dayZs_pkpZsdo3sjyukkERj3gaaDWjSskE9KgtZjpX5nU6nZ-3NETQwrjvDsEeIshyiO_HGYlO3OoFDI8E-lhX5r1kWq81InNgoGFA5rHywiD6QXySToV79VXNEPhPyytSupmhKv8zWiR8sAIBkVgOCtVKMecQGuw0vX4bAxCB5SZrFPWTKeqIJXthvNwmeqljUEBu3ImLyaGyIeFA8Tcp73nKa8zZSkaB2tUMWonFG0vNWPc-qv-FYCQemsM2-hv9ZG-KGkkSmdTpJ1FsTAvXA5pYA_AV63LL1Q745KljTtppFMhRCT_kn2x5usvgNl8XO0A4-f0qPsfHpmjHzTJg-sKaEmR7POeeb9elf90KX99-s5ZIgG4hlMnDML8Ce9bHDKS5PWcnzBSEnU5MhDkeIfuNhwPBjdKDbtb_ZnmPZl0me_xDNh-pwcxeuADWgcU0q1MXZ1ZF4uGKT23pJNkI6qQaU7pHPSXqMOjolznI00sANblNeWpFhpBEPzh8aKFk-jemxtWaT991b4b2WicyZv2o3sPD_G5J_xl2QDN2b-aUtNHyJFZD1tuvvQu-iwY0_Jd9RZgneWpGqQKbN_nQRlzrwzNQW4KepHAzWYRkm0dlT819LIe3L-OXjYbkyUu2EJeDi90bO8-TIqvRhWjICxd7j_AcnrdeLL8OxiDx7ykvwSbuJwHAoN6VGKYZESJBQFquVjizPy_-7qszs6e4B4R4jjd_ynVwKUTf7rXZhNOm_k-BcCMBkQgUBMLGRB99a2UdgmcBBA3iv-QoWp4JeLaQaD2h_mqVE3TQ57mWdv9PMz9SofiatEweWtcYSZtNZH8xHjAdjVV6jw4J4TVdPEPA0-ec28x52ZfeDstvQj_fqtgNZtqC-aAUPrcpgRXgvRgdjHbUfprUtABK2VxD8GG5b871lQcH_oWNmAbM8yfGcVgLXGLTuzuAZPB55r9JuEuUqHg==", "id": "rs_0c76e56576ffc0fb016a070293012881918861b08ef92f37b8", "summary": [{"type": "summary_text", "text": "**Considering data types for schema**\n\nI’m thinking about how the close type can be a float since the initial schema is defined as NUMERIC. I might want to add market_prices close to TEXT_AFFINITY, but it seems like the existing setup didn’t include that. It’s also important to think about adding it to TEXT. Plus, I need to remember to use UPSERT to ensure everything is patched correctly. There’s a lot to juggle here!"}]}], "tool_calls": [{"id": "call_CIM2nIygPFJH5MHkdnItgk4l", "call_id": "call_CIM2nIygPFJH5MHkdnItgk4l", "response_item_id": "fc_0c76e56576ffc0fb016a07029592308191826498efdd8dc446", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"    \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n    \\\"fx_rates\\\": {\\\"rate\\\"},\\n    \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\",\"old_string\":\"    \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -23,6 +23,8 @@\\n     \\\"crypto_holdings\\\": {\\\"quantity\\\", \\\"legacy_snapshot_value_original\\\", \\\"legacy_snapshot_value_chf\\\"},\\n     \\\"crypto_transactions\\\": {\\\"quantity\\\", \\\"price_original\\\", \\\"gross_amount_original\\\", \\\"fee_quantity\\\", \\\"fee_original\\\", \\\"fx_rate_to_chf\\\", \\\"amount_chf\\\"},\\n     \\\"crypto_prices\\\": {\\\"price\\\", \\\"market_cap\\\", \\\"volume_24h\\\", \\\"change_24h_pct\\\"},\\n+    \\\"fx_rates\\\": {\\\"rate\\\"},\\n+    \\\"market_prices\\\": {\\\"open\\\", \\\"high\\\", \\\"low\\\", \\\"close\\\", \\\"adjusted_close\\\"},\\n }\\n \\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_CIM2nIygPFJH5MHkdnItgk4l", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_T7SdowVptShLfe8JTCp4u00h", "call_id": "call_T7SdowVptShLfe8JTCp4u00h", "response_item_id": "fc_0c76e56576ffc0fb016a07029e2cbc8191ac3666433bbfce1b", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"        INSERT INTO market_prices(\\n            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n            price_timestamp=excluded.price_timestamp,\\n            close=excluded.close,\\n            adjusted_close=excluded.adjusted_close,\\n            currency=excluded.currency,\\n            provider_symbol=excluded.provider_symbol,\\n            quality_status=excluded.quality_status,\\n            created_at=excluded.created_at,\\n            provider_market=excluded.provider_market,\\n            error_message=excluded.error_message\\n        \\\"\\\"\\\",\",\"old_string\":\"        INSERT INTO market_prices(\\n            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        \\\"\\\"\\\",\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\\n@@ -86,6 +86,16 @@\\n             market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n             currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n         ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n+        ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n+            price_timestamp=excluded.price_timestamp,\\n+            close=excluded.close,\\n+            adjusted_close=excluded.adjusted_close,\\n+            currency=excluded.currency,\\n+            provider_symbol=excluded.provider_symbol,\\n+            quality_status=excluded.quality_status,\\n+            created_at=excluded.created_at,\\n+            provider_market=excluded.provider_market,\\n+            error_message=excluded.error_message\\n         \\\"\\\"\\\",\\n         (\\n             market_price_id,\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_T7SdowVptShLfe8JTCp4u00h", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_us7PDbcCNR0ZoWWRcN75v7r4", "call_id": "call_us7PDbcCNR0ZoWWRcN75v7r4", "response_item_id": "fc_0c76e56576ffc0fb016a0702a8df0081919e6dfd8f26615510", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src pytest -q tests/unit/test_fx_market_data_phase_c.py\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".FF..FFF                                                                 [100%]\\n=================================== FAILURES ===================================\\n_________ test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx __________\\n\\n    def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n        conn = setup_conn()\\n        conn.execute(\\\"\\\"\\\"\\n            INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n            VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','1','USD','missing','test',1,'warning','now')\\n        \\\"\\\"\\\")\\n        conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-usd','kritisch','ledger','instrument','usd1','missing_fx','missing','active','now')\\\")\\n        provider = MockFxProvider({('USD', 'CHF', '2025-12-31'): Decimal('0.9000'), ('EUR', 'CHF', '2025-12-31'): Decimal('0.9500')})\\n    \\n>       result = update_fx_rates(conn, provider=provider, currencies=['USD', 'EUR'], rate_date='2025-12-31', resolve_fixed=True)\\n                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:55: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/fx/rates.py:165: in update_fx_rates\\n    upsert_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date, rate=rate, provider=getattr(provider, \\\"name\\\", \\\"mock\\\"), rate_type=\\\"latest\\\" if latest else \\\"close\\\", quality_status=\\\"fresh\\\")\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = <sqlite3.Connection object at 0x76851b5a8c70>\\n\\n    def upsert_fx_rate(\\n        conn: Connection,\\n        *,\\n        base_currency: str,\\n        quote_currency: str,\\n        rate_date: str,\\n        rate: Decimal,\\n        provider: str,\\n        rate_type: str,\\n        quality_status: str = \\\"fresh\\\",\\n    ) -> str:\\n        base = base_currency.upper()\\n        quote = quote_currency.upper()\\n        fx_rate_id = stable_id(\\\"fx\\\", base, quote, rate_date, provider, rate_type)\\n>       conn.execute(\\n            \\\"\\\"\\\"\\n            INSERT INTO fx_rates(\\n                fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\\n                rate_type, quality_status, created_at\\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\n            ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n            DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\\n            \\\"\\\"\\\",\\n            (fx_rate_id, base, quote, rate_date, format(rate, \\\"f\\\"), provider, rate_type, quality_status, utc_now()),\\n        )\\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/fx/rates.py:89: OperationalError\\n_______________ test_manual_fx_override_requires_note_and_audit ________________\\n\\n    def test_manual_fx_override_requires_note_and_audit() -> None:\\n        conn = setup_conn()\\n        with pytest.raises(ValueError, match=\\\"note\\\"):\\n            set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='')\\n    \\n>       rate_id = set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='bank statement')\\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:67: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/fx/overrides.py:22: in set_manual_fx_override\\n    rate_id = upsert_fx_rate(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = <sqlite3.Connection object at 0x76851b5aa2f0>\\n\\n    def upsert_fx_rate(\\n        conn: Connection,\\n        *,\\n        base_currency: str,\\n        quote_currency: str,\\n        rate_date: str,\\n        rate: Decimal,\\n        provider: str,\\n        rate_type: str,\\n        quality_status: str = \\\"fresh\\\",\\n    ) -> str:\\n        base = base_currency.upper()\\n        quote = quote_currency.upper()\\n        fx_rate_id = stable_id(\\\"fx\\\", base, quote, rate_date, provider, rate_type)\\n>       conn.execute(\\n            \\\"\\\"\\\"\\n            INSERT INTO fx_rates(\\n                fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\\n                rate_type, quality_status, created_at\\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\n            ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n            DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\\n            \\\"\\\"\\\",\\n            (fx_rate_id, base, quote, rate_date, format(rate, \\\"f\\\"), provider, rate_type, quality_status, utc_now()),\\n        )\\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/fx/rates.py:89: OperationalError\\n___ test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert ____\\n\\n    def test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> None:\\n        conn = setup_conn()\\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\\n        conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mp1','warnung','market_data','instrument','usd1','missing_market_price','missing','active','now')\\\")\\n        provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\\n    \\n>       result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:102: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/market_data/prices.py:163: in refresh_market_prices\\n    store_market_price(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = <sqlite3.Connection object at 0x76851b5aa4d0>\\n\\n    def store_market_price(\\n        conn: Connection,\\n        *,\\n        instrument_id: str,\\n        price_date: str,\\n        close: Decimal | None,\\n        currency: str,\\n        provider: str,\\n        provider_symbol: str | None,\\n        provider_market: str | None = None,\\n        price_timestamp: str | None = None,\\n        adjusted_close: Decimal | None = None,\\n        quality_status: str = \\\"fresh\\\",\\n        error_message: str | None = None,\\n    ) -> str:\\n        now = utc_now()\\n        market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n>       conn.execute(\\n            \\\"\\\"\\\"\\n            INSERT INTO market_prices(\\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n            ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n                price_timestamp=excluded.price_timestamp,\\n                close=excluded.close,\\n                adjusted_close=excluded.adjusted_close,\\n                currency=excluded.currency,\\n                provider_symbol=excluded.provider_symbol,\\n                quality_status=excluded.quality_status,\\n                created_at=excluded.created_at,\\n                provider_market=excluded.provider_market,\\n                error_message=excluded.error_message\\n            \\\"\\\"\\\",\\n            (\\n                market_price_id,\\n                instrument_id,\\n                price_date,\\n                price_timestamp,\\n                format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n                format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n                currency.upper(),\\n                provider,\\n                provider_symbol,\\n                quality_status,\\n                now,\\n                provider_market,\\n                error_message,\\n            ),\\n        )\\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\\n____________ test_missing_and_stale_market_price_alerts_are_deduped ____________\\n\\n    def test_missing_and_stale_market_price_alerts_are_deduped() -> None:\\n        conn = setup_conn()\\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\\n        provider = MockEquityPriceProvider({'USETF.N': None})\\n    \\n>       result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_fx_market_data_phase_c.py:116: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/market_data/prices.py:163: in refresh_market_prices\\n    store_market_price(\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = <sqlite3.Connection object at 0x76851b5aa3e0>\\n\\n    def store_market_price(\\n        conn: Connection,\\n        *,\\n        instrument_id: str,\\n        price_date: str,\\n        close: Decimal | None,\\n        currency: str,\\n        provider: str,\\n        provider_symbol: str | None,\\n        provider_market: str | None = None,\\n        price_timestamp: str | None = None,\\n        adjusted_close: Decimal | None = None,\\n        quality_status: str = \\\"fresh\\\",\\n        error_message: str | None = None,\\n    ) -> str:\\n        now = utc_now()\\n        market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n>       conn.execute(\\n            \\\"\\\"\\\"\\n            INSERT INTO market_prices(\\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n            ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n                price_timestamp=excluded.price_timestamp,\\n                close=excluded.close,\\n                adjusted_close=excluded.adjusted_close,\\n                currency=excluded.currency,\\n                provider_symbol=excluded.provider_symbol,\\n                quality_status=excluded.quality_status,\\n                created_at=excluded.created_at,\\n                provider_market=excluded.provider_market,\\n                error_message=excluded.error_message\\n            \\\"\\\"\\\",\\n            (\\n                market_price_id,\\n                instrument_id,\\n                price_date,\\n                price_timestamp,\\n                format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n                format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n                currency.upper(),\\n                provider,\\n                provider_symbol,\\n                quality_status,\\n                now,\\n                provider_market,\\n                error_message,\\n            ),\\n        )\\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\\n_ test_position_valuation_requires_market_price_and_fx_without_fake_total_return _\\n\\n    def test_position_valuation_requires_market_price_and_fx_without_fake_total_return() -> None:\\n        conn = setup_conn()\\n        conn.execute(\\\"\\\"\\\"\\n            INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n            VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','2','USD','missing','test',1,'warning','now')\\n        \\\"\\\"\\\")\\n>       store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', quality_status='fresh')\\n\\ntests/unit/test_fx_market_data_phase_c.py:130: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = <sqlite3.Connection object at 0x76851b5aad40>\\n\\n    def store_market_price(\\n        conn: Connection,\\n        *,\\n        instrument_id: str,\\n        price_date: str,\\n        close: Decimal | None,\\n        currency: str,\\n        provider: str,\\n        provider_symbol: str | None,\\n        provider_market: str | None = None,\\n        price_timestamp: str | None = None,\\n        adjusted_close: Decimal | None = None,\\n        quality_status: str = \\\"fresh\\\",\\n        error_message: str | None = None,\\n    ) -> str:\\n        now = utc_now()\\n        market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n>       conn.execute(\\n            \\\"\\\"\\\"\\n            INSERT INTO market_prices(\\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n            ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n                price_timestamp=excluded.price_timestamp,\\n                close=excluded.close,\\n                adjusted_close=excluded.adjusted_close,\\n                currency=excluded.currency,\\n                provider_symbol=excluded.provider_symbol,\\n                quality_status=excluded.quality_status,\\n                created_at=excluded.created_at,\\n                provider_market=excluded.provider_market,\\n                error_message=excluded.error_message\\n            \\\"\\\"\\\",\\n            (\\n                market_price_id,\\n                instrument_id,\\n                price_date,\\n                price_timestamp,\\n                format(close, \\\"f\\\") if close is not None else \\\"\\\",\\n                format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None,\\n                currency.upper(),\\n                provider,\\n                provider_symbol,\\n                quality_status,\\n                now,\\n                provider_market,\\n                error_message,\\n            ),\\n        )\\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\\n\\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_manual_fx_override_requires_note_and_audit\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_missing_and_stale_market_price_alerts_are_deduped\\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_position_valuation_requires_market_price_and_fx_without_fake_total_return\\n5 failed, 3 passed in 0.17s\", \"exit_code\": 1, \"error\": null}\n\n[Tool loop warning: repeated_exact_failure_warning; count=3; terminal has failed 3 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]", "tool_call_id": "call_us7PDbcCNR0ZoWWRcN75v7r4", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Evaluating database schema**\n\nI’m considering whether the initial schema has uniqueness. It seems there was an error previously regarding this \"unique\" aspect. After a rebuild, I might have lost that uniqueness. I need to create unique indexes, but they won't resolve conflicts unless the index is actually unique. It looks like the index isn't unique as it stands, so I need to ensure I create a unique index for both fx and market. Also, existing data may have duplicates, so I need to use CREATE UNIQUE INDEX.", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating database schema**\n\nI’m considering whether the initial schema has uniqueness. It seems there was an error previously regarding this \"unique\" aspect. After a rebuild, I might have lost that uniqueness. I need to create unique indexes, but they won't resolve conflicts unless the index is actually unique. It looks like the index isn't unique as it stands, so I need to ensure I create a unique index for both fx and market. Also, existing data may have duplicates, so I need to use CREATE UNIQUE INDEX.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwKz74-ttowgddDBwZ0vBb1UMQk70v1eZgNpJ61Cej1asPYh8nuJHnJY42K5zXsf5qmzEYsxk8VBtSZXM-1al3eodfqckwhYlCItWQFSNxQGBBpMA6fysfKrcZ9w4YSUqrcxMCGDyP_8Iikk_h3foGNXEQVFiEuEX5uekAzZvcBf3ws_A30b28y2giqEmr1HFtJBykZTsqALd9SGaOQ5a7XX0hYUgKU2vjIF97stOmuIYW6TzPoBOg9bB5Gle6eNzWFg6s-Cbzao4ECSpJntAzbDBNVa78kKSTgClSQYUEd-o_nfHKZr3jNH-gBd46NBPjm6cIWv6uqWn38togmXtSGHi3ULkeoxuY9VsvH2CHzQlGoEWL66C40oPDfl29tA5M94v1pjiYtkz7rp3YRF2S-uSFysssiMl92PQYa2Yh5K6crU43WOj1taAkisaoNNnQ7QCd3j2HCo6B3zACxZrgXuO4dRw8lWRXGx4A7gkqA0TSQpro-HWF4IEM8EGkZccjaXRTZgs3TC7zUrG0gRUzbl7h-BIPSDKl2rV0TPsZA9AoDNxclq_gAVBKFMReY-efx5wQw19bYVGk0HZ43lXHpnq0l1gbyqtJLQ39zUC_gRqLKjjXmSYsRWBm3JO_CGuNC6jbSfLF99fp3wHlBMTg0lm8mjHyefjfh0NlWzSoTazg3e72fypfDtmnOZGMkv2qnnO9oeZ7sNxnjiQYqyBu6Ajevb5iXxfNJ6mIHlz1bo8WUI_MlOdyaUXWFx5M_NPImx8rQTEP7MFCZZeOlBq5nsqxajkd5gXXZRmTgGWrf-YGDB4RblslGHo7VfQOyWgTo-ytuM9wTbiJjNt9ot2bRVn-tlzaxrghyhTzGcfHX7ZSGZg7HHo8CN4SGb4pdDRDj5sEnfxBhBFs_r7XYgSFS0yeiooREIXnE64Kn5O-cOB9zm2AjOJF_k3jZB7uduT1fU6OTRdaeqQf-O3y4_FIJ96lNjg8lj4iY9Rvx8qmjALGz_-1Nd4jywvaoFNEKN-zXG0lMEfdH4zGKg6UIF3lIQMh-PtVv0uhjcCBtmHL303xu5zxwMOsgZcIVYNWY3LaDZeetzP8i_E4DEWyRgOJjQOAo0nLaYGILb4PJUzZ7sA2mz9AuYtxzwzQSvRGSGnEHK5LYbRX_SWedrsRcQbmPLks29WFJjjjarQWlyZePsaKa8W6-AhBtZ58pqkcvYRegngKMH12U0oev5kgPSEqvYVMA-xdj2bKQ14QVyxY1i6j5_J3gA6TXoI3IrI39O5YdFj7hSkiFjhkP3yyxvwszTTpfBEg5TmM2BANNnu8lf70vmJkEDWQowjxplN-7iNSipP1N5alR0RfryrWLKNWHA9GwTr8HQvjEpegTlJ0qXc9-HMa5Uqw6XdvVOCdhIjkGNuGBDRjwXxhdPOpLHt2n3tvOndjmXh8_s3CzHcueLL7kibEagq9ZcT-KT2mGHQAmh", "id": "rs_0c76e56576ffc0fb016a0702adb1548191b87255f1d495f989", "summary": [{"type": "summary_text", "text": "**Evaluating database schema**\n\nI’m considering whether the initial schema has uniqueness. It seems there was an error previously regarding this \"unique\" aspect. After a rebuild, I might have lost that uniqueness. I need to create unique indexes, but they won't resolve conflicts unless the index is actually unique. It looks like the index isn't unique as it stands, so I need to ensure I create a unique index for both fx and market. Also, existing data may have duplicates, so I need to use CREATE UNIQUE INDEX."}]}], "tool_calls": [{"id": "call_CX5rMhtYP29LZJmP2uBgl0jV", "call_id": "call_CX5rMhtYP29LZJmP2uBgl0jV", "response_item_id": "fc_0c76e56576ffc0fb016a0702b32b8481919aa61b0e0bf4ce7e", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"    conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)\\\")\\n    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)\\\")\\n    conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_fx_rates_unique_provider_date ON fx_rates(base_currency, quote_currency, rate_date, provider, rate_type)\\\")\\n    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\",\"old_string\":\"    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)\\\")\\n    conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -322,7 +322,9 @@\\n         \\\"provider_market\\\": \\\"TEXT\\\",\\n         \\\"error_message\\\": \\\"TEXT\\\",\\n     })\\n+    conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)\\\")\\n     conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)\\\")\\n+    conn.execute(\\\"CREATE UNIQUE INDEX IF NOT EXISTS idx_fx_rates_unique_provider_date ON fx_rates(base_currency, quote_currency, rate_date, provider, rate_type)\\\")\\n     conn.execute(\\\"CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)\\\")\\n \\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_CX5rMhtYP29LZJmP2uBgl0jV", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "assistant", "content": "", "reasoning": "**Updating data schema**\n\nI need to update the schema for the tests version and check what table is required. The CLI needs updating too, specifically for including equity in the data quality and ensuring the dashboard is not live. Existing positions should be sufficient for now. I think I need to perform update-fx-rates and update-market-prices in the CLI. Is user C5 DQ center already handling support through alerts? Do I need to create a page for this? It might be necessary to inspect the Data Quality Center further.", "finish_reason": "tool_calls", "reasoning_content": "**Updating data schema**\n\nI need to update the schema for the tests version and check what table is required. The CLI needs updating too, specifically for including equity in the data quality and ensuring the dashboard is not live. Existing positions should be sufficient for now. I think I need to perform update-fx-rates and update-market-prices in the CLI. Is user C5 DQ center already handling support through alerts? Do I need to create a page for this? It might be necessary to inspect the Data Quality Center further.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwLFWmFdt5FcOWR6Vj_v-4Pun8Vi0d_AubbLpgUmOLKzXH7rou59tySiCYa3c_EffI7Z4-BVAmjaHCTlUd-IPPEaWH2lu-fsZwYaqAUVbSo1Zzhgr-EOjfj2bK8MKOkLOWzY0KwKXZtBhSdQhf5Xjretkr2NMBnaNFCUppFlZjweL91BuWKNBOsOSYQMOQL9858oYsCgShOx-O7TjJ8e-xAgSjc5Dv7xZpkRwzx7wYmdB5o61WR5yX5h0jJWqxZRbM09Ej3KYd-KV0kFWFnR3rCa5BjIFPoD4VoOlDAmt9nN0rkfev_qC2qsKhqjvk22LYQYtuNOAkU-VybzREbuBD3QY3TsFW4xUlPHUEHjYcQo9RJGK5ViJxDcNopaWB07KS1YpLavPOapaQsY3sypuKkjDuKzTt09SjL2LhM1X9vfoVuZbSgJQ6RL4-s6-KHDs6X2xbN2bsOoDRYMIrCWOB4k8Tlo1pNrP90E0ijeff5VucoU1M4K4v32NLh4j7srbVX5aFllpCiJJ-HyAFOrti92QeC2xkJS_sSE3wfpVCEHtOZB5IUH4jdS7FQQTswCX2662nZ5LSttcRq-d1W37MQbgGWML5t5AyBMuEbYVQ8fqzzuib2OC2UXrbO_zc90r-bVabJY2lZa8x6-bHLQWTlgnD0erKb1c-dTH22LF-KbH3-FyjhuloHQ90rob6B14df6b0ZVwuVHFxVjnYPYyXB9ofqt2FsHpAaUvq4uCa2tatV4diC5kNXZ5hzT5tPNV1Mo74mGTxSAXVEakbTptRS02W7l1SEywyU4dhoqp0skHp7kFaZlXMzvOtXt9oMD3FcvkHL2gIV1tjvs0PT6Q5S83uiYSCCaMEK76TFNuIffFOpCthFhjPsvtYIzD0glR-LiVNsDHx22MBQnyAXzCdGN0lSHiNVYlGDtgppUZ_hkEYcbiuKr2alrQIYt8caqN8TyWinDzAIYMmfYljs7zUxK5vKXa1QdrBN9xUr4HWAY7WU9i8w4SnyH_kL0QLvM48NCwX-tSqY6ex5-K0T4FCIBY4Na_8uLh2RCWRIfxaDxshDDH6QpEhZeLz8ulkFkcRfZ-kLsCE5qSKZkMnddUmwgu0l3ht5FBQ2WB36nW_9TwMb9jeKv8-l68huFFDODfMvIzcLQOk2thDXjjlrESbwK3z9HyMGk9Yh7PQjhfUr6BT8dABBuOXJA5chIqcVR-ijVjBvG5jS2n1PhwA76FBMZcfGjqTCRqUuxudQ5SgpbpolF4x4Vo7Q5-9bI_D75HS3kUyCfLadn5tBReTiDNJu8DewwD5EXACzGmGWKMvR-30F7svpNvbXbcfLaccFVHhU5r1vNyqvggNQhYVmAvO0BsWXy3JxvwuSSX4J2WIsnsmzVHIu72_GIyn3mOfh1XfJS", "id": "rs_0c76e56576ffc0fb016a0702c14c4081918600cfa819483ffa", "summary": [{"type": "summary_text", "text": "**Updating data schema**\n\nI need to update the schema for the tests version and check what table is required. The CLI needs updating too, specifically for including equity in the data quality and ensuring the dashboard is not live. Existing positions should be sufficient for now. I think I need to perform update-fx-rates and update-market-prices in the CLI. Is user C5 DQ center already handling support through alerts? Do I need to create a page for this? It might be necessary to inspect the Data Quality Center further."}]}], "tool_calls": [{"id": "call_xE0EM7Ghvyr3ff8EYSUk1A8k", "call_id": "call_xE0EM7Ghvyr3ff8EYSUk1A8k", "response_item_id": "fc_0c76e56576ffc0fb016a0702c50e1881919928dc61738bfc33", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":240,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from jarvis_finance.dashboard import data\\n     4|from jarvis_finance.dashboard.components.tables import show_table\\n     5|\\n     6|PAGE_TITLE = \\\"Data Quality Center\\\"\\n     7|\\n     8|\\n     9|def render(st, conn) -> None:\\n    10|    st.title(\\\"Data Quality Center\\\")\\n    11|    st.caption(\\\"Alerts, Preise, FX, ISIN, Parser-/Review-Flags, Readiness und Safe-Mode-Prüfungen.\\\")\\n    12|    st.subheader(\\\"Data Quality Checks\\\")\\n    13|    show_table(st, data.get_data_quality(conn))\\n    14|    st.subheader(\\\"Review Items nach Quality Flag\\\")\\n    15|    show_table(st, data.get_review_quality_flag_counts(conn))\\n    16|    st.subheader(\\\"Import Readiness\\\")\\n    17|    show_table(st, data.get_review_readiness_counts(conn))\\n    18|    st.subheader(\\\"Ready for Import je Quelle\\\")\\n    19|    show_table(st, data.get_ready_for_import_by_source(conn))\\n    20|    st.subheader(\\\"Alerts\\\")\\n    21|    show_table(st, data.get_alerts(conn))\\n    22|    st.subheader(\\\"Sichere Aktionen\\\")\\n    23|    st.button(\\\"Data Quality Recheck\\\", disabled=True)\\n    24|    st.button(\\\"Resolve Fixed Alerts\\\", disabled=True)\\n    25|    st.button(\\\"Review Items aktualisieren\\\", disabled=True)\\n    26|    st.button(\\\"Produktiven Import starten\\\", disabled=True)\\n    27|    st.info(\\\"Links zur Review Queue können über die Navigation/Filter genutzt werden; produktive Commit-Aktionen bleiben deaktiviert.\\\")\\n    28|\", \"total_lines\": 27, \"file_size\": 1224, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_xE0EM7Ghvyr3ff8EYSUk1A8k", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import json\\n     4|from decimal import Decimal, InvalidOperation, ROUND_HALF_UP\\n     5|from pathlib import Path\\n     6|from sqlite3 import Connection\\n     7|\\n     8|from jarvis_finance.config.settings import Settings\\n     9|from jarvis_finance.crypto.holdings import calculate_crypto_holdings\\n    10|from jarvis_finance.ledger.cash import calculate_cash_balances\\n    11|from jarvis_finance.ledger.positions import calculate_positions\\n    12|from jarvis_finance.market.providers import is_price_stale\\n    13|\\n    14|MONEY = Decimal(\\\"0.01\\\")\\n    15|\\n    16|\\n    17|def d(value: object, default: str = \\\"0\\\") -> Decimal:\\n    18|    if value is None or str(value).strip() == \\\"\\\":\\n    19|        return Decimal(default)\\n    20|    try:\\n    21|        return Decimal(str(value))\\n    22|    except InvalidOperation:\\n    23|        return Decimal(default)\\n    24|\\n    25|\\n    26|def dec_text(value: Decimal | int | str | None, places: str | None = None) -> str:\\n    27|    if value is None:\\n    28|        return \\\"\\\"\\n    29|    value = d(value)\\n    30|    if places:\\n    31|        value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)\\n    32|    return format(value, \\\"f\\\")\\n    33|\\n    34|\\n    35|def money_text(value: Decimal | None, currency: str = \\\"CHF\\\") -> str:\\n    36|    if value is None:\\n    37|        return f\\\"n/a {currency}\\\"\\n    38|    return f\\\"{dec_text(value, '0.01')} {currency}\\\"\\n    39|\\n    40|\\n    41|def rowdicts(rows) -> list[dict[str, str]]:\\n    42|    return [{k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]\\n    43|\\n    44|\\n    45|def db_exists(path: str | Path) -> bool:\\n    46|    return Path(path).expanduser().exists()\\n    47|\\n    48|\\n    49|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:\\n    50|    try:\\n    51|        settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())\\n    52|        return False\\n    53|    except ValueError:\\n    54|        return True\\n    55|\\n    56|\\n    57|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = \\\"CHF\\\", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:\\n    58|    row = conn.execute(\\n    59|        \\\"\\\"\\\"\\n    60|        SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider\\n    61|        FROM crypto_prices\\n    62|        WHERE asset_id=? AND price_currency=?\\n    63|        ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1\\n    64|        \\\"\\\"\\\",\\n    65|        (asset_id, currency.upper()),\\n    66|    ).fetchone()\\n    67|    if not row:\\n    68|        return None\\n    69|    item = dict(row)\\n    70|    ts = item.get(\\\"provider_timestamp\\\") or item.get(\\\"fetched_at\\\")\\n    71|    if item.get(\\\"quality_status\\\") == \\\"fresh\\\" and is_price_stale(ts, max_age_seconds=max_age_seconds):\\n    72|        item[\\\"quality_status\\\"] = \\\"stale\\\"\\n    73|    return item\\n    74|\\n    75|\\n    76|def get_crypto_overview(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n    77|    holdings = calculate_crypto_holdings(conn)\\n    78|    rows: list[dict[str, str]] = []\\n    79|    for asset_id, holding in sorted(holdings.total_by_asset.items()):\\n    80|        qty = holding.quantity\\n    81|        asset = conn.execute(\\\"SELECT * FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n    82|        if not asset:\\n    83|            continue\\n    84|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n    85|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n    86|        value = qty * price_dec if price_dec is not None else None\\n    87|        rows.append({\\n    88|            \\\"asset_id\\\": asset_id,\\n    89|            \\\"coin_name\\\": asset[\\\"coin_name\\\"],\\n    90|            \\\"symbol\\\": asset[\\\"symbol\\\"],\\n    91|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] or \\\"\\\",\\n    92|            \\\"quantity\\\": dec_text(qty),\\n    93|            \\\"latest_price_chf\\\": dec_text(price_dec, \\\"0.01\\\") if price_dec is not None else \\\"\\\",\\n    94|            \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n    95|            \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n    96|            \\\"fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n    97|        })\\n    98|    return rows\\n    99|\\n   100|\\n   101|def get_crypto_by_wallet(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:\\n   102|    holdings = calculate_crypto_holdings(conn)\\n   103|    rows: list[dict[str, str]] = []\\n   104|    for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):\\n   105|        wallet = conn.execute(\\\"SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?\\\", (wallet_id,)).fetchone()\\n   106|        asset = conn.execute(\\\"SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?\\\", (asset_id,)).fetchone()\\n   107|        price = latest_crypto_price(conn, asset_id, \\\"CHF\\\", max_age_seconds=price_max_age_seconds)\\n   108|        price_dec = d(price[\\\"price\\\"]) if price and price[\\\"price\\\"] else None\\n   109|        value = holding.quantity * price_dec if price_dec is not None else None\\n   110|        rows.append({\\n   111|            \\\"wallet_id\\\": wallet_id,\\n   112|            \\\"wallet_name\\\": wallet[\\\"wallet_name\\\"] if wallet else wallet_id,\\n   113|            \\\"wallet_type\\\": wallet[\\\"wallet_type\\\"] if wallet else \\\"\\\",\\n   114|            \\\"provider\\\": wallet[\\\"platform_provider\\\"] if wallet else \\\"\\\",\\n   115|            \\\"coin_name\\\": asset[\\\"coin_name\\\"] if asset else asset_id,\\n   116|            \\\"symbol\\\": asset[\\\"symbol\\\"] if asset else \\\"\\\",\\n   117|            \\\"coingecko_id\\\": asset[\\\"coingecko_id\\\"] if asset else \\\"\\\",\\n   118|            \\\"quantity\\\": dec_text(holding.quantity),\\n   119|            \\\"market_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n   120|            \\\"wallet_value_chf\\\": dec_text(value, \\\"0.01\\\") if value is not None else \\\"\\\",\\n   121|            \\\"price_quality\\\": price[\\\"quality_status\\\"] if price else \\\"missing\\\",\\n   122|            \\\"price_fetched_at\\\": price[\\\"fetched_at\\\"] if price else \\\"\\\",\\n   123|            \\\"verification_status\\\": holding.verification_status,\\n   124|            \\\"last_verified_at\\\": holding.last_verified_at or \\\"\\\",\\n   125|        })\\n   126|    return rows\\n   127|\\n   128|\\n   129|def get_wallets(conn: Connection) -> list[dict[str, str]]:\\n   130|    return rowdicts(conn.execute(\\n   131|        \\\"\\\"\\\"\\n   132|        SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,\\n   133|               network_chain, last_verified_at, is_active, notes\\n   134|        FROM crypto_wallets ORDER BY wallet_name\\n   135|        \\\"\\\"\\\"\\n   136|    ).fetchall())\\n   137|\\n   138|\\n   139|def get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n   140|    return rowdicts(conn.execute(\\n   141|        \\\"\\\"\\\"\\n   142|        SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,\\n   143|               fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,\\n   144|               ct.amount_chf, ct.confirmation_status, ct.source\\n   145|        FROM crypto_transactions ct\\n   146|        LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id\\n   147|        LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id\\n   148|        LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id\\n   149|        ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?\\n   150|        \\\"\\\"\\\", (limit,)\\n   151|    ).fetchall())\\n   152|\\n   153|\\n   154|def get_platform_overview(conn: Connection) -> list[dict[str, str]]:\\n   155|    return rowdicts(conn.execute(\\n   156|        \\\"\\\"\\\"\\n   157|        SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,\\n   158|               a.performance_included, a.is_active\\n   159|        FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n   160|        ORDER BY p.name, a.account_name\\n   161|        \\\"\\\"\\\"\\n   162|    ).fetchall())\\n   163|\\n   164|\\n   165|def get_cash_overview(conn: Connection) -> list[dict[str, str]]:\\n   166|    result = calculate_cash_balances(conn)\\n   167|    rows: list[dict[str, str]] = []\\n   168|    for (account_id, currency), bal in sorted(result.balances.items()):\\n   169|        row = conn.execute(\\n   170|            \\\"SELECT a.account_name, p.name AS platform FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id WHERE a.account_id=?\\\",\\n   171|            (account_id,),\\n   172|        ).fetchone()\\n   173|        rows.append({\\n   174|            \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n   175|            \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n   176|            \\\"currency\\\": currency,\\n   177|            \\\"amount_original\\\": dec_text(bal.amount_original, \\\"0.01\\\"),\\n   178|            \\\"amount_chf\\\": dec_text(bal.amount_chf, \\\"0.01\\\") if bal.amount_chf is not None else \\\"\\\",\\n   179|            \\\"quality_status\\\": bal.quality_status,\\n   180|        })\\n   181|    return rows\\n   182|\\n   183|\\n   184|def get_positions(conn: Connection) -> list[dict[str, str]]:\\n   185|    result = calculate_positions(conn)\\n   186|    rows: list[dict[str, str]] = []\\n   187|    for (account_id, instrument_id), pos in sorted(result.positions.items()):\\n   188|        row = conn.execute(\\n   189|            \\\"\\\"\\\"\\n   190|            SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency\\n   191|            FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id\\n   192|            JOIN instruments i ON i.instrument_id=? WHERE a.account_id=?\\n   193|            \\\"\\\"\\\",\\n   194|            (instrument_id, account_id),\\n   195|        ).fetchone()\\n   196|        rows.append({\\n   197|            \\\"platform\\\": row[\\\"platform\\\"] if row else \\\"\\\",\\n   198|            \\\"account_name\\\": row[\\\"account_name\\\"] if row else account_id,\\n   199|            \\\"asset_class\\\": row[\\\"asset_class\\\"] if row else \\\"\\\",\\n   200|            \\\"name\\\": row[\\\"name\\\"] if row else instrument_id,\\n   201|            \\\"ticker\\\": row[\\\"ticker\\\"] if row else \\\"\\\",\\n   202|            \\\"isin\\\": row[\\\"isin\\\"] if row else \\\"\\\",\\n   203|            \\\"quantity\\\": dec_text(pos.quantity),\\n   204|            \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n   205|            \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n   206|            \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n   207|            \\\"data_quality_status\\\": pos.data_quality_status,\\n   208|        })\\n   209|    return rows\\n   210|\\n   211|\\n   212|def get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   213|    return rowdicts(conn.execute(\\n   214|        \\\"\\\"\\\"\\n   215|        SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,\\n   216|               i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,\\n   217|               t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,\\n   218|               t.source_type, t.source_id\\n   219|        FROM transactions t\\n   220|        LEFT JOIN accounts a ON a.account_id=t.account_id\\n   221|        LEFT JOIN platforms p ON p.platform_id=a.platform_id\\n   222|        LEFT JOIN instruments i ON i.instrument_id=t.instrument_id\\n   223|        ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?\\n   224|        \\\"\\\"\\\", (limit,)\\n   225|    ).fetchall())\\n   226|\\n   227|\\n   228|def get_watchlist(conn: Connection) -> list[dict[str, str]]:\\n   229|    return rowdicts(conn.execute(\\\"SELECT name, asset_class, reason, status, target_entry_price, target_entry_currency, investment_case, bear_case, next_review_date FROM watchlist ORDER BY name\\\").fetchall())\\n   230|\\n   231|\\n   232|def get_alerts(conn: Connection) -> list[dict[str, str]]:\\n   233|    return rowdicts(conn.execute(\\n   234|        \\\"\\\"\\\"\\n   235|        SELECT priority, status, category, entity_type, entity_id, rule_id, message,\\n   236|               occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at\\n   237|        FROM alerts\\n   238|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC\\n   239|        \\\"\\\"\\\"\\n   240|    ).fetchall())\\n   241|\\n   242|\\n   243|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:\\n   244|    rows = conn.execute(\\n   245|        \\\"\\\"\\\"\\n   246|        SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,\\n   247|               confirmed, created_by, quality_status\\n   248|        FROM audit_log ORDER BY timestamp DESC LIMIT ?\\n   249|        \\\"\\\"\\\", (limit,)\\n   250|    ).fetchall()\\n   251|    out: list[dict[str, str]] = []\\n   252|    for row in rows:\\n   253|        item = {k: (\\\"\\\" if row[k] is None else str(row[k])) for k in row.keys()}\\n   254|        for key in (\\\"old_values_json\\\", \\\"new_values_json\\\"):\\n   255|            if item[key]:\\n   256|                try:\\n   257|                    item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)\\n   258|                except json.JSONDecodeError:\\n   259|                    pass\\n   260|        out.append(item)\\n   261|\", \"total_lines\": 367, \"file_size\": 17795, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 367 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_IsrplvvjRlkIfpJdlcpyKy10", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "read_file", "content": "{\"content\": \"   261|    return out\\n   262|\\n   263|\\n   264|def get_data_quality(conn: Connection) -> list[dict[str, str]]:\\n   265|    items: list[dict[str, str]] = []\\n   266|    checks = [\\n   267|        (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n   268|        (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\n   269|        (\\\"fehlende Crypto-Preise\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets ca LEFT JOIN crypto_prices cp ON cp.asset_id=ca.asset_id WHERE cp.crypto_price_id IS NULL\\\", \\\"warnung\\\"),\\n   270|        (\\\"fehlende ISIN\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE asset_class IN ('equity','etf') AND (isin IS NULL OR isin='') AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   271|        (\\\"fehlende FX in Import-Reviews\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%missing_fx%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   272|        (\\\"snapshot_only Positionen\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'\\\", \\\"info\\\"),\\n   273|        (\\\"cost_basis_uncertain\\\", \\\"SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'\\\", \\\"warnung\\\"),\\n   274|        (\\\"aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active'\\\", \\\"warnung\\\"),\\n   275|        (\\\"resolved Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'\\\", \\\"ok\\\"),\\n   276|        (\\\"alte aktive Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')\\\", \\\"info\\\"),\\n   277|    ]\\n   278|    for label, sql, severity in checks:\\n   279|        row = conn.execute(sql).fetchone()\\n   280|        count = int(row[\\\"c\\\"] or 0) if row else 0\\n   281|        sev = severity if count else \\\"ok\\\"\\n   282|        items.append({\\\"check\\\": label, \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   283|    for flag_row in get_review_quality_flag_counts(conn):\\n   284|        count = int(flag_row[\\\"open_items\\\"] or 0)\\n   285|        items.append({\\\"check\\\": f\\\"Review Flag: {flag_row['quality_flag']}\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   286|    for ready in get_review_readiness_counts(conn):\\n   287|        count = int(ready[\\\"count\\\"] or 0)\\n   288|        sev = \\\"ok\\\" if ready[\\\"readiness_status\\\"] in {\\\"ready_for_import\\\", \\\"ignored\\\"} else (\\\"warnung\\\" if count else \\\"ok\\\")\\n   289|        items.append({\\\"check\\\": f\\\"Review Readiness: {ready['readiness_status']}\\\", \\\"count\\\": str(count), \\\"severity\\\": sev})\\n   290|    for source in get_ready_for_import_by_source(conn):\\n   291|        if int(source[\\\"total\\\"] or 0) and int(source[\\\"ready_for_import\\\"] or 0) == 0:\\n   292|            items.append({\\\"check\\\": f\\\"Quelle ohne ready_for_import: {source['source_platform']}\\\", \\\"count\\\": source[\\\"total\\\"], \\\"severity\\\": \\\"warnung\\\"})\\n   293|    missing_snapshot = conn.execute(\\\"SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'\\\").fetchone()\\n   294|    count = int(missing_snapshot[\\\"c\\\"] or 0) if missing_snapshot else 0\\n   295|    items.append({\\\"check\\\": \\\"Dry Runs ohne Snapshot Date\\\", \\\"count\\\": str(count), \\\"severity\\\": \\\"warnung\\\" if count else \\\"ok\\\"})\\n   296|    return items\\n   297|\\n   298|\\n   299|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:\\n   300|    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary\\n   301|\\n   302|    return build_import_wizard_summary(conn)\\n   303|\\n   304|\\n   305|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:\\n   306|    from jarvis_finance.imports.broker_mapping import get_manual_review_queue\\n   307|\\n   308|    return get_manual_review_queue(conn)\\n   309|\\n   310|\\n   311|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:\\n   312|    from jarvis_finance.imports.broker_mapping import get_dry_run_sessions\\n   313|\\n   314|    return get_dry_run_sessions(conn, limit=limit)\\n   315|\\n   316|\\n   317|def get_safe_mode_status(conn: Connection) -> dict[str, str]:\\n   318|    backup = conn.execute(\\\"SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1\\\").fetchone()\\n   319|    return {\\n   320|        \\\"db_mode\\\": \\\"Runtime\\\",\\n   321|        \\\"write_mode\\\": \\\"Read-only\\\",\\n   322|        \\\"last_backup_at\\\": backup[\\\"created_at\\\"] if backup else \\\"nicht verfügbar\\\",\\n   323|        \\\"git_safety_status\\\": \\\"zuletzt OK / CLI prüfen\\\",\\n   324|        \\\"data_location\\\": \\\"Echte Daten liegen außerhalb Git\\\",\\n   325|    }\\n   326|\\n   327|\\n   328|def get_broker_review_items(conn: Connection, limit: int = 100, **filters) -> list[dict[str, str]]:\\n   329|    from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items\\n   330|\\n   331|    return _items(conn, limit=limit, **filters)\\n   332|\\n   333|\\n   334|def get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:\\n   335|    from jarvis_finance.imports.broker_mapping import get_review_readiness_counts as _counts\\n   336|\\n   337|    return _counts(conn)\\n   338|\\n   339|\\n   340|def get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:\\n   341|    from jarvis_finance.imports.broker_mapping import get_ready_for_import_by_source as _counts\\n   342|\\n   343|    return _counts(conn)\\n   344|\\n   345|\\n   346|def get_review_quality_flag_counts(conn: Connection) -> list[dict[str, str]]:\\n   347|    from jarvis_finance.imports.broker_mapping import aggregate_review_quality_flags\\n   348|\\n   349|    return [{\\\"quality_flag\\\": k, \\\"open_items\\\": str(v)} for k, v in sorted(aggregate_review_quality_flags(conn).items())]\\n   350|\\n   351|\\n   352|def get_command_center_summary(conn: Connection) -> dict[str, str]:\\n   353|    cash_rows = get_cash_overview(conn)\\n   354|    crypto_rows = get_crypto_overview(conn)\\n   355|    cash_total = sum(d(r[\\\"amount_chf\\\"]) for r in cash_rows if r[\\\"amount_chf\\\"])\\n   356|    crypto_total = sum(d(r[\\\"market_value_chf\\\"]) for r in crypto_rows if r[\\\"market_value_chf\\\"])\\n   357|    alert_counts = conn.execute(\\\"SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority\\\").fetchall()\\n   358|    quality = get_data_quality(conn)\\n   359|    return {\\n   360|        \\\"base_currency\\\": \\\"CHF\\\",\\n   361|        \\\"cash_total_chf\\\": dec_text(cash_total, \\\"0.01\\\"),\\n   362|        \\\"crypto_total_chf\\\": dec_text(crypto_total, \\\"0.01\\\"),\\n   363|        \\\"total_value_chf\\\": dec_text(cash_total + crypto_total, \\\"0.01\\\"),\\n   364|        \\\"active_alerts\\\": \\\", \\\".join(f\\\"{r['priority']}: {r['c']}\\\" for r in alert_counts) or \\\"0\\\",\\n   365|        \\\"data_quality_status\\\": \\\"kritisch\\\" if any(i[\\\"severity\\\"] == \\\"kritisch\\\" and i[\\\"count\\\"] != \\\"0\\\" for i in quality) else (\\\"warnung\\\" if any(i[\\\"severity\\\"] == \\\"warnung\\\" and i[\\\"count\\\"] != \\\"0\\\" for i in quality) else \\\"ok\\\"),\\n   366|        \\\"crypto_price_data_as_of\\\": max((r[\\\"fetched_at\\\"] for r in crypto_rows if r.get(\\\"fetched_at\\\")), default=\\\"\\\"),\\n   367|    }\\n   368|\", \"total_lines\": 367, \"file_size\": 17795, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_5yRyXhgcXNyHCXLTJy40W9We", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n@@ -203,7 +203,12 @@\\n             \\\"quantity\\\": dec_text(pos.quantity),\\n             \\\"cost_basis_chf\\\": dec_text(pos.cost_basis_chf, \\\"0.01\\\"),\\n             \\\"market_value_chf\\\": dec_text(pos.market_value_chf, \\\"0.01\\\") if pos.market_value_chf is not None else \\\"\\\",\\n+            \\\"price_status\\\": \\\"ok\\\" if pos.market_price_original is not None else \\\"missing_market_price\\\",\\n+            \\\"fx_status\\\": \\\"ok\\\" if \\\"missing_fx\\\" not in pos.quality_warnings else \\\"missing_fx\\\",\\n+            \\\"valuation_status\\\": \\\"complete\\\" if pos.market_value_chf is not None else \\\"incomplete\\\",\\n             \\\"total_return_chf\\\": dec_text(pos.total_return_chf, \\\"0.01\\\") if pos.total_return_chf is not None else \\\"\\\",\\n+            \\\"total_return_status\\\": \\\"complete\\\" if pos.total_return_chf is not None else \\\"incomplete\\\",\\n+            \\\"quality_warnings\\\": \\\",\\\".join(pos.quality_warnings),\\n             \\\"data_quality_status\\\": pos.data_quality_status,\\n         })\\n     return rows\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}", "tool_call_id": "call_KBadpA4flmrGMHG6Eq9MuWXt", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "user", "content": "[Your active task list was preserved across context compression]\n- [>] c0. C0 Missing-FX-Alerts der 3 True-Wealth-Initial-Snapshots validieren und ggf. korrigieren (in_progress)\n- [ ] c1. C1 FX-Rates Modul/CLI/Data-Quality mit Tests implementieren (pending)\n- [ ] c2. C2 Instrument Price Mapping Modell/Audit/Data-Quality mit Tests implementieren (pending)\n- [ ] c3. C3 Market Price Provider Skeleton/CLI/local storage/Data-Quality mit Tests implementieren (pending)\n- [ ] c4c5. C4/C5 Equity Bewertung und Data Quality Center lokal erweitern (pending)\n- [ ] c7. C7 Runtime-Recheck vorsichtig aggregiert ausführen (pending)\n- [ ] c8. C8 Compile/pytest/Git-Safety/Git Status, Commit+Push (pending)", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "read_file", "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_WCcQZrpIOoCw3hIocBoAkmjY", "timestamp": "2026-05-15T13:36:20.818783"}
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{"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_4BM7thLJzL16xD3Vcb5EV5ut", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwN2h0r24u-VY9iajUq9vsczF1Mi_tTtenrbS73ZEl6tRHCI3iWhrcBlcgCmLDtVyVXEmAd7B447LJLgqSp0SReDozJYqlz_GDNrR9HSB3zTjuyhASenWADxLOXkt0ZnZWV2eRImTop3W1gdsQX-byJtoJH9mJylA3CsTyIySY9Yv53kw62G7g5uTJwzVMSCHkEamFxvILKLo4bIGqguyTrhYLHAfvgGs21DqQUBL26Z8Avc21QqL3AWTrHgQNGOomEupNybgMKE7rpKdSqmPqTNxwS95FhJMA5TbZmeKFtS6OB7n6Mjd1zXloKKqqXPXcxFh4ysYHQDfNEvZxNS1meTju1i3LwxdJCF4iTY2EkuZ3JkiBdoAsfILKjAALHBRDE_0dzGKWbJIRbrgdrx41XNew86GCej4DtvBYF83aUHkrfQBlPtHm7dmHlLBd8nOjIFNgKslwPtvhs2Yl3YT9nEDN-zUFnoJn_F6PEDVahZpAnc4Zq1nwrJX5p-h0k0wXHMdQNPTg_FCYgvtD6n2Lo5YI8FiROpCYEsGKp0Kn64pzWIEH1QnLHCPzxP--X5VoHlecSH7rWrKFLD_c03JY_GxV4Sxz8NjP836fULom26gCJQHhTI7hmzBPmj0YEZ8k4YenFQ4IlDSKTyUYTc97hbyp4_FVh4wY9JNtiC-fNrqWT9OWc3DylOPNp4iuonPo9pEzb3bA7tR7EIKmM0sexqA8b5lTBSidugdkhJhJx7OmEvcNZr4nVcasotHNpGfm9QwAqIIbXIpvyFrqfQBULxJLLUdn0PZ0y-azegblDenPFj23YwEDfsqeS4JasFh1vsw339HJ4SQb8qmOJhTYzkbAIx1HvzvdH0E5MTDsG3auaXZFsd3Ern9a5jzSaiBCOkSb_uamu3OdIw7i8fGdKiyd2gEg6Z1OHUn-r2HpBR_qG2g0lm2Wc88JUXq-sdyAyV65ElFXk1iHDGQXJlKr8q2A==", "id": "rs_0e3b6ff63952e1b4016a0703756dfc8191ad7875fb26f3a815", "summary": []}], "tool_calls": [{"id": "call_tkoEULVSnFjHFR4zpWVwlfuP", "call_id": "call_tkoEULVSnFjHFR4zpWVwlfuP", "response_item_id": "fc_0e3b6ff63952e1b4016a070376658c8191a1fe1341427ecaee", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":260,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from dataclasses import dataclass\\n     4|from decimal import Decimal\\n     5|from sqlite3 import Connection\\n     6|from typing import Protocol, Sequence\\n     7|\\n     8|from jarvis_finance.imports.common import stable_id, utc_now\\n     9|from jarvis_finance.quality.alerts import create_alert\\n    10|\\n    11|\\n    12|class FxProvider(Protocol):\\n    13|    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None: ...\\n    14|\\n    15|\\n    16|@dataclass\\n    17|class FxUpdateResult:\\n    18|    updated_count: int = 0\\n    19|    cached_count: int = 0\\n    20|    skipped_count: int = 0\\n    21|    warning_count: int = 0\\n    22|    error_count: int = 0\\n    23|    resolved_alerts: int = 0\\n    24|    dry_run: bool = False\\n    25|\\n    26|\\n    27|def _resolve_alerts(conn: Connection, *, rule_id: str, entity_ids: Sequence[str] | None = None) -> int:\\n    28|    now = utc_now()\\n    29|    params: list[object] = [rule_id]\\n    30|    where = \\\"rule_id=? AND status='active'\\\"\\n    31|    if entity_ids is not None:\\n    32|        if not entity_ids:\\n    33|            return 0\\n    34|        where += \\\" AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in entity_ids) + \\\")\\\"\\n    35|        params.extend(entity_ids)\\n    36|    rows = conn.execute(f\\\"SELECT alert_id FROM alerts WHERE {where}\\\", tuple(params)).fetchall()\\n    37|    for row in rows:\\n    38|        conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?\\\", (now, now, row[\\\"alert_id\\\"]))\\n    39|    return len(rows)\\n    40|\\n    41|\\n    42|def _transaction_instruments_for_currency(conn: Connection, currency: str) -> list[str]:\\n    43|    return [\\n    44|        row[\\\"instrument_id\\\"]\\n    45|        for row in conn.execute(\\n    46|            \\\"\\\"\\\"\\n    47|            SELECT DISTINCT instrument_id FROM transactions\\n    48|            WHERE instrument_id IS NOT NULL AND currency_original=? AND COALESCE(is_voided,0)=0\\n    49|            \\\"\\\"\\\",\\n    50|            (currency.upper(),),\\n    51|        ).fetchall()\\n    52|    ]\\n    53|\\n    54|\\n    55|def _mark_chf_transactions_not_needed(conn: Connection) -> int:\\n    56|    now = utc_now()\\n    57|    rows = conn.execute(\\n    58|        \\\"\\\"\\\"\\n    59|        SELECT transaction_id FROM transactions\\n    60|        WHERE currency_original='CHF'\\n    61|          AND (fx_status IS NULL OR fx_status='missing' OR fx_rate_to_chf IS NULL OR fx_source IS NULL)\\n    62|        \\\"\\\"\\\"\\n    63|    ).fetchall()\\n    64|    for row in rows:\\n    65|        conn.execute(\\n    66|            \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n    67|            (now, row[\\\"transaction_id\\\"]),\\n    68|        )\\n    69|    if rows:\\n    70|        _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, \\\"CHF\\\"))\\n    71|        conn.commit()\\n    72|    return len(rows)\\n    73|\\n    74|\\n    75|def upsert_fx_rate(\\n    76|    conn: Connection,\\n    77|    *,\\n    78|    base_currency: str,\\n    79|    quote_currency: str,\\n    80|    rate_date: str,\\n    81|    rate: Decimal,\\n    82|    provider: str,\\n    83|    rate_type: str,\\n    84|    quality_status: str = \\\"fresh\\\",\\n    85|) -> str:\\n    86|    base = base_currency.upper()\\n    87|    quote = quote_currency.upper()\\n    88|    fx_rate_id = stable_id(\\\"fx\\\", base, quote, rate_date, provider, rate_type)\\n    89|    conn.execute(\\n    90|        \\\"\\\"\\\"\\n    91|        INSERT INTO fx_rates(\\n    92|            fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\\n    93|            rate_type, quality_status, created_at\\n    94|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\n    95|        ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n    96|        DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\\n    97|        \\\"\\\"\\\",\\n    98|        (fx_rate_id, base, quote, rate_date, format(rate, \\\"f\\\"), provider, rate_type, quality_status, utc_now()),\\n    99|    )\\n   100|    return fx_rate_id\\n   101|\\n   102|\\n   103|def latest_fx_rate(conn: Connection, *, base_currency: str, quote_currency: str = \\\"CHF\\\", rate_date: str | None = None):\\n   104|    base = base_currency.upper(); quote = quote_currency.upper()\\n   105|    if base == quote:\\n   106|        return None\\n   107|    if rate_date:\\n   108|        return conn.execute(\\n   109|            \\\"\\\"\\\"\\n   110|            SELECT * FROM fx_rates WHERE base_currency=? AND quote_currency=? AND rate_date<=? AND quality_status IN ('fresh','ok','manual')\\n   111|            ORDER BY rate_date DESC, created_at DESC LIMIT 1\\n   112|            \\\"\\\"\\\",\\n   113|            (base, quote, rate_date),\\n   114|        ).fetchone()\\n   115|    return conn.execute(\\n   116|        \\\"\\\"\\\"\\n   117|        SELECT * FROM fx_rates WHERE base_currency=? AND quote_currency=? AND quality_status IN ('fresh','ok','manual')\\n   118|        ORDER BY rate_date DESC, created_at DESC LIMIT 1\\n   119|        \\\"\\\"\\\",\\n   120|        (base, quote),\\n   121|    ).fetchone()\\n   122|\\n   123|\\n   124|def get_fx_rate_to_chf(conn: Connection, *, base_currency: str, rate_date: str | None = None, resolve_fixed: bool = False) -> Decimal | None:\\n   125|    base = base_currency.upper()\\n   126|    if base == \\\"CHF\\\":\\n   127|        _mark_chf_transactions_not_needed(conn)\\n   128|        return Decimal(\\\"1\\\")\\n   129|    row = latest_fx_rate(conn, base_currency=base, quote_currency=\\\"CHF\\\", rate_date=rate_date)\\n   130|    if row is None:\\n   131|        return None\\n   132|    if resolve_fixed:\\n   133|        _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, base))\\n   134|        conn.commit()\\n   135|    return Decimal(str(row[\\\"rate\\\"]))\\n   136|\\n   137|\\n   138|def update_fx_rates(\\n   139|    conn: Connection,\\n   140|    *,\\n   141|    provider: FxProvider,\\n   142|    currencies: Sequence[str],\\n   143|    rate_date: str,\\n   144|    latest: bool = False,\\n   145|    missing_only: bool = False,\\n   146|    dry_run: bool = False,\\n   147|    resolve_fixed: bool = True,\\n   148|) -> FxUpdateResult:\\n   149|    result = FxUpdateResult(dry_run=dry_run)\\n   150|    for cur in dict.fromkeys(c.upper() for c in currencies):\\n   151|        if cur == \\\"CHF\\\":\\n   152|            if not dry_run:\\n   153|                _mark_chf_transactions_not_needed(conn)\\n   154|            result.cached_count += 1\\n   155|            continue\\n   156|        if missing_only and latest_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date):\\n   157|            result.cached_count += 1\\n   158|            continue\\n   159|        rate = provider.get_rate(cur, \\\"CHF\\\", None if latest else rate_date)\\n   160|        if rate is None:\\n   161|            result.warning_count += 1\\n   162|            create_alert(conn, priority=\\\"kritisch\\\", category=\\\"fx\\\", entity_type=\\\"currency_pair\\\", entity_id=f\\\"{cur}/CHF\\\", rule_id=\\\"missing_fx\\\", message=\\\"FX rate to CHF is missing.\\\", evidence={\\\"base_currency\\\": cur, \\\"quote_currency\\\": \\\"CHF\\\", \\\"rate_date\\\": rate_date}, fingerprint=f\\\"missing_fx_rate:{cur}:CHF:{rate_date}\\\")\\n   163|            continue\\n   164|        if not dry_run:\\n   165|            upsert_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date, rate=rate, provider=getattr(provider, \\\"name\\\", \\\"mock\\\"), rate_type=\\\"latest\\\" if latest else \\\"close\\\", quality_status=\\\"fresh\\\")\\n   166|            if resolve_fixed:\\n   167|                result.resolved_alerts += _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, cur))\\n   168|        result.updated_count += 1\\n   169|    if not dry_run:\\n   170|        conn.commit()\\n   171|    return result\\n   172|\", \"total_lines\": 171, \"file_size\": 6558, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_tkoEULVSnFjHFR4zpWVwlfuP", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwOAb7ihRLEJEoQyKJxOncaErxJmh-iEn-UQXWGlBTmzMUjTxNABVHYo9Kyf9woiSOE4whzap4jTjawPTw8ih0kO_YYoc3qy5SN68YPcyIvRElRFgFgobB2OLUvt5Ssue_EwSZrHrwh9Pcfxk0cxMC38CMoUkpZwLGzeQ_P3jAfVFCXsQ29y-ThPtOABzB5ctpkziupGAuL4rUkBuBUA8pPFDQIN3gK3UZ_u5oN1fg8GNaeOISS9NAGW1tB32ptw0ZUvkK8RDEILaYnodkPfmZjJb4sz3ukknroo1B58dOSfdn-_YNvkbMdAQBvLck8y3yZCrDYpucLWEhaPsX6WYeDGbd3VhF0R2x9jkUH7O25aZtIVmiSfNjXrklz62M2AFANE6zx3gXoDnU-IXcDSFNUOJiFnXKVCqBqN1UxZf7Uv9DbX6Z-9NH-KBrNyoiYBd04WHOMNdPjdK0Crz5h7fHTc_7q3J-Fm8HrXWNxgLjDRAz3Xfry6UrxBUNv6m7FSTxPQ9-gqhLvcnvO0Vcq514cQvjYPwpJNnSkkSMSLlh7gdapsyfk9KgeKgi6EU2FAEH555lISTBw2_jVkvpqVYwWLx4RhIYV9gifuo3B32hpcUCn4x1hss1C880d5V4nrOv9o_iTIYSuouR5o7NEL52hmzmzLyTJya0KlHcLJjz_ZeOjeunnl8lM8APE5N5x-DiSKIsGuPOYo9oNLQ42RGseV3maO2bJywCvGjDUtjlFM38PU1iYylrFSIQ5WejiASn4EkT5BrRn8ztHmcQASUj_ZM6IEjwGkz8Xm_veTQ57Qq945wHm7GBrtBwaWFPALv3aoOIAhJBpVDvQSD6M86mJH9ZAVYpmO-6RJ3jEL0RNYDnOKaplhx4k8ZYKNRXPv6usGZXBKqZsJeU2c48UvvfTDmimqS5U4XVWjMVtGep0VatCFXBiHcnL7CPIgV4U70Ajd4p7ewEvD4qptAGoEvp2eGwfvhwBKWQ46UtdQoF3litotv7_L6y_qJzGkpcUIA9jFEamnFf3L6aZTeZMoNg-MOCYXwl7kKGJ83SC-EVgbKBsh_apI3B0EXJlqcG1MQCQae6clhIdP-fhr10VwyXjYTTOGUGd_vZLE2mrsNbFHSsDk-dayqe2g_nvdppa8z2pp96G8qEbHCshF1I3JAS8npao-uNDuZGPVGVUCsSjZNkMFuk_chvcDRG3HspIRx4-5oktEyGA-N7Rs8Dh8EvQu05mOn-jPokm1G1M8OYTugOYyAo20IDg4j4elQsnnsXn4Z09hgU4uz_2oSvTriPsg9xHKmOSrmRGCLgKlENePy_w0dkacsqJbCjkUPIUaaFFmmZsKTEumYexlR_w53sfqQi6TeBYOeKJElq-1CruKOVq-UvaQbv8M5q0NheqIHcqefzh53TAJ5qXm8aNBgxqD0FQjEElzAphOf32t_rfLpXN9LB5t7lHte5wdIXwULt-TERQYOAfYgAWQ2nG104EMC82IxU05JpMv8bo7VDLf8EUjBjpNJeeYjor5mBfL1ypSdKPSa-0EhPRG34I1EJvcOslB8SVJWVxs8Px9SWobGNcmy8Ioh_7vkxW71LhaWcViWhnVQLZljk02sMz74Cqs9hFncOUCtoSsdv7CYAo_yAV_WwaMBf4r7_8mI9gL5-zlJ9AI50uydzJLnYcLvVTp-L7fkdV4aKwYTke6RXP_7zeFBUg714YZGkQ8nBZbdW5-GKtfq4juXuVrx_FawVBuDjCR7X-OHgBcqNFN6wU12dLMt4PjEIum1DuXnaybibaUIdxsoC8W72WYV0VmXAQxSHmWOnpVXNSFvxBLhQfFbWDCwZqYCD1WcTpvfz4yn5Z_5SkOwzYSkAW6zBxfWaNcrDuy3nkT8lYGKbFGLjTeXcSarohB_VnVAn0evyOtki46bmngl0aV3fiwHNmx53wpZu8P3NCE_D3C9SnNyoRfqSBLcPFlNF_rbaRdfOQVyuKufOonPz_Ke0RCJukUSiDlzPz5Zy81hctU7mEcvB_ANES5V05gWA4XAM8QOsPlKpxOjIeSEg12N_aVFdXxvFFpydUdImHwOOB53-D9oiP73msnALk5zciaD5aP4ZDns-mzu18uUMqK4zleIQTz4W8GPw==", "id": "rs_041d391e4fba99a7016a07037c94bc81918f00c15d884193f7", "summary": []}], "tool_calls": [{"id": "call_UUkR3LvVTqHfX7iaHXT17mdm", "call_id": "call_UUkR3LvVTqHfX7iaHXT17mdm", "response_item_id": "fc_041d391e4fba99a7016a070380c3e08191b58fdfe198d93da2", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nconn=connect_memory(); apply_migrations(conn)\\nprint('ok')\\nfor t in ['market_prices','fx_rates','instrument_price_mappings']:\\n print(t, [r['name'] for r in conn.execute(f'PRAGMA table_info({t})').fetchall()])\\n print('idx', [dict(r) for r in conn.execute(f'PRAGMA index_list({t})').fetchall()])\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"ok\\nmarket_prices ['market_price_id', 'instrument_id', 'price_date', 'price_timestamp', 'open', 'high', 'low', 'close', 'adjusted_close', 'currency', 'provider', 'provider_symbol', 'quality_status', 'created_at', 'provider_market', 'error_message']\\nidx [{'seq': 0, 'name': 'idx_market_prices_instrument_date', 'unique': 0, 'origin': 'c', 'partial': 0}, {'seq': 1, 'name': 'idx_market_prices_unique_provider_date', 'unique': 1, 'origin': 'c', 'partial': 0}, {'seq': 2, 'name': 'sqlite_autoindex_market_prices_1', 'unique': 1, 'origin': 'pk', 'partial': 0}]\\nfx_rates ['fx_rate_id', 'base_currency', 'quote_currency', 'rate_date', 'rate_timestamp', 'rate', 'provider', 'rate_type', 'quality_status', 'created_at']\\nidx [{'seq': 0, 'name': 'idx_fx_rates_pair_date', 'unique': 0, 'origin': 'c', 'partial': 0}, {'seq': 1, 'name': 'idx_fx_rates_unique_provider_date', 'unique': 1, 'origin': 'c', 'partial': 0}, {'seq': 2, 'name': 'sqlite_autoindex_fx_rates_1', 'unique': 1, 'origin': 'pk', 'partial': 0}]\\ninstrument_price_mappings ['mapping_id', 'instrument_id', 'isin', 'ticker', 'exchange', 'currency', 'provider', 'provider_symbol', 'provider_market', 'mapping_status', 'confidence', 'notes', 'created_at', 'updated_at']\\nidx [{'seq': 0, 'name': 'idx_instrument_price_mappings_provider_symbol', 'unique': 0, 'origin': 'c', 'partial': 0}, {'seq': 1, 'name': 'idx_instrument_price_mappings_status', 'unique': 0, 'origin': 'c', 'partial': 0}, {'seq': 2, 'name': 'sqlite_autoindex_instrument_price_mappings_2', 'unique': 1, 'origin': 'u', 'partial': 0}, {'seq': 3, 'name': 'sqlite_autoindex_instrument_price_mappings_1', 'unique': 1, 'origin': 'pk', 'partial': 0}]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_UUkR3LvVTqHfX7iaHXT17mdm", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Planning for tests**\n\nI think I need to add some tests, maybe even for the command line interface (CLI), but full pytest could uncover more issues. I’m aware that we might have around 160 current tests, and we’ll run them later. Implementing more tests feels essential, especially for patching the fx/rates. I should also import the record audit and ensure that we have a function to recheck the transaction FX status with a summary. Let's get to patching!", "finish_reason": "tool_calls", "reasoning_content": "**Planning for tests**\n\nI think I need to add some tests, maybe even for the command line interface (CLI), but full pytest could uncover more issues. I’m aware that we might have around 160 current tests, and we’ll run them later. Implementing more tests feels essential, especially for patching the fx/rates. I should also import the record audit and ensure that we have a function to recheck the transaction FX status with a summary. Let's get to patching!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwOJGZicb9Wuqo8BRNbbUBKCqtOJesOS2y0DGiet59zQpbi5TEf-3WJODIwe_7g0plcYTGgNxovSAfnZi4flYuEGfAKI-f_2qXBD72Ovda8-k-AqpjrWvFGZx-L4I4XUfmQqM7fnx4VGtVCz-9IVUQ22SldXpjkq8Nq5NaZqcYRFEGu5-RgNC6W6lhngShL3kL5yhimlbFkZMSIPmDKprX2uYCkZrb92VtlgX3ywjSyUSTZZZ0qJlhN3D1Qjtu4G209DwF1SmCaq44wGcxz7dyziqHeM5VxTF49zAJYeY5PRBtY0OOvvkIKTKLuS63bZ3b3hHjTcfY6vsv7cTWvgj_GQQ5OMpgxplAkvj1oFV6QQC1RwmmjSt4e3ApPRREEZYypZPmX8w_vSeetq7LufUEAseNv6xR5WeTIAG4T-EOJwnPbYUXBXh1PlyHRyZzKhubmBs-N2GOJVutRMr924hn-2spZIdUZkAjbCSCDDbQP8B33QIToGr_nb7fpTTLYUdRi13IGXUJD9zyxgJ9o89BWaEQ_12ULfFrJPEMWQgb5-OYrbqebIj1DnWxDa47p2gblmjOvrZEZiWfpCzs4qYezTmgbbluFT-DI91GpVuLl_7pkfLGC4TaZF4ITqlKgBsuoh67Yvpm6ibbVN6ILUvfyLcbywezow6NCQN6OwnGjOwPn8mNDUWaRcQl07OWPuGtI65Ywdop5uukgCEE5pt9PG4-4AGRA_ffKNmlm6vp9eEqMZKSU7yyHe7L8G-WDaLhMBWvnfWbZTTTFkjpLsA6-kJj7Uf_5AazzkbIHZIr3h53g6RxVnQEin5zR-Ror2DfNo2kOCOK2IUb9TDy74etHdRvDwWsCrZXiQuiGFSzoAYR3PvGVfd6c8twPPWBvyQNAsUC20v2QbjM5k20zi0yoEIxa4f7sXtRagXHQ9Pq_ZljhM3-ePMFlkxR-GtCFE7kp4XeDyvWTVUQRVk_TRrOFiBVXnbk_7UL0eXMzRCl9MEbMSRSxsRJp8hKrIyv87uiyTnK7tronRlkyE5hWAH5dZfv6vOM1rfTLUoGbnapNoeZ4WSfzfrpyquREbu_qaBTxqvGRzs8Ss_PaF_S0J3KcE55jzCyvWSWxyGSlKN4EB2q9BSHZzCl-3BlwlOWfd2kSh3Ee4NRqg-5AWZAbPBc_xhDYT3VX8bfevdl5jUvyNNFhy_1ic2KLzPPs8bz6u8wEjSYIFL8K-6oYR1HYaEF8r_S-A3ttHkjzGG4FMt0GvaPM=", "id": "rs_0944bf90004abd2f016a070386548881918daadff9e1cb0aa9", "summary": [{"type": "summary_text", "text": "**Planning for tests**\n\nI think I need to add some tests, maybe even for the command line interface (CLI), but full pytest could uncover more issues. I’m aware that we might have around 160 current tests, and we’ll run them later. Implementing more tests feels essential, especially for patching the fx/rates. I should also import the record audit and ensure that we have a function to recheck the transaction FX status with a summary. Let's get to patching!"}]}], "tool_calls": [{"id": "call_VLSY555B0IpzvQjKnkoyymqs", "call_id": "call_VLSY555B0IpzvQjKnkoyymqs", "response_item_id": "fc_0944bf90004abd2f016a070389cb4c8191a796d6679bff4e45", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\",\"old_string\":\"from jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.quality.alerts import create_alert\",\"new_string\":\"from jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.imports.common import stable_id, utc_now\\nfrom jarvis_finance.quality.alerts import create_alert\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n@@ -5,6 +5,7 @@\\n from sqlite3 import Connection\\n from typing import Protocol, Sequence\\n \\n+from jarvis_finance.audit.log import record_audit_event\\n from jarvis_finance.imports.common import stable_id, utc_now\\n from jarvis_finance.quality.alerts import create_alert\\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_VLSY555B0IpzvQjKnkoyymqs", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ujO8ZcSTQhpa3KPzZ5yPM9HN", "call_id": "call_ujO8ZcSTQhpa3KPzZ5yPM9HN", "response_item_id": "fc_01704b5af373a140016a07038e0aa081918808e2c3bf0e514c", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"@dataclass\\nclass FxUpdateResult:\\n    updated_count: int = 0\\n    cached_count: int = 0\\n    skipped_count: int = 0\\n    warning_count: int = 0\\n    error_count: int = 0\\n    resolved_alerts: int = 0\\n    dry_run: bool = False\\n\\n\\n@dataclass\\nclass FxRecheckResult:\\n    transaction_count: int = 0\\n    chf_positions: int = 0\\n    foreign_currency_positions: int = 0\\n    justified_missing_fx_alerts: int = 0\\n    false_positive_missing_fx_alerts: int = 0\\n    corrected_transactions: int = 0\\n    resolved_alerts: int = 0\\n    audit_events: int = 0\\n    dry_run: bool = False\",\"old_string\":\"@dataclass\\nclass FxUpdateResult:\\n    updated_count: int = 0\\n    cached_count: int = 0\\n    skipped_count: int = 0\\n    warning_count: int = 0\\n    error_count: int = 0\\n    resolved_alerts: int = 0\\n    dry_run: bool = False\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n@@ -22,6 +22,19 @@\\n     warning_count: int = 0\\n     error_count: int = 0\\n     resolved_alerts: int = 0\\n+    dry_run: bool = False\\n+\\n+\\n+@dataclass\\n+class FxRecheckResult:\\n+    transaction_count: int = 0\\n+    chf_positions: int = 0\\n+    foreign_currency_positions: int = 0\\n+    justified_missing_fx_alerts: int = 0\\n+    false_positive_missing_fx_alerts: int = 0\\n+    corrected_transactions: int = 0\\n+    resolved_alerts: int = 0\\n+    audit_events: int = 0\\n     dry_run: bool = False\\n \\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ujO8ZcSTQhpa3KPzZ5yPM9HN", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_oWUDbJpFDb97deLNYULDaFud", "call_id": "call_oWUDbJpFDb97deLNYULDaFud", "response_item_id": "fc_0a265f31f6ef3113016a070397198081919856966e37c0e0e7", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def _mark_chf_transactions_not_needed(conn: Connection, *, dry_run: bool = False) -> int:\\n    now = utc_now()\\n    rows = conn.execute(\\n        \\\"\\\"\\\"\\n        SELECT transaction_id, fx_rate_to_chf, fx_source, fx_status FROM transactions\\n        WHERE currency_original='CHF'\\n          AND (fx_status IS NULL OR fx_status='missing' OR fx_rate_to_chf IS NULL OR fx_source IS NULL)\\n        \\\"\\\"\\\"\\n    ).fetchall()\\n    if dry_run:\\n        return len(rows)\\n    for row in rows:\\n        conn.execute(\\n            \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n            (now, row[\\\"transaction_id\\\"]),\\n        )\\n        record_audit_event(\\n            conn,\\n            source=\\\"fx_recheck\\\",\\n            action=\\\"set_chf_fx_not_needed\\\",\\n            entity_type=\\\"transaction\\\",\\n            entity_id=row[\\\"transaction_id\\\"],\\n            old_values={\\\"fx_rate_to_chf\\\": row[\\\"fx_rate_to_chf\\\"], \\\"fx_source\\\": row[\\\"fx_source\\\"], \\\"fx_status\\\": row[\\\"fx_status\\\"]},\\n            new_values={\\\"fx_rate_to_chf\\\": \\\"1\\\", \\\"fx_source\\\": \\\"not_needed\\\", \\\"fx_status\\\": \\\"not_needed\\\"},\\n            user_text_note=\\\"CHF original currency requires no FX conversion.\\\",\\n        )\\n    if rows:\\n        _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, \\\"CHF\\\"))\\n        conn.commit()\\n    return len(rows)\",\"old_string\":\"def _mark_chf_transactions_not_needed(conn: Connection) -> int:\\n    now = utc_now()\\n    rows = conn.execute(\\n        \\\"\\\"\\\"\\n        SELECT transaction_id FROM transactions\\n        WHERE currency_original='CHF'\\n          AND (fx_status IS NULL OR fx_status='missing' OR fx_rate_to_chf IS NULL OR fx_source IS NULL)\\n        \\\"\\\"\\\"\\n    ).fetchall()\\n    for row in rows:\\n        conn.execute(\\n            \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n            (now, row[\\\"transaction_id\\\"]),\\n        )\\n    if rows:\\n        _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, \\\"CHF\\\"))\\n        conn.commit()\\n    return len(rows)\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n@@ -66,19 +66,31 @@\\n     ]\\n \\n \\n-def _mark_chf_transactions_not_needed(conn: Connection) -> int:\\n+def _mark_chf_transactions_not_needed(conn: Connection, *, dry_run: bool = False) -> int:\\n     now = utc_now()\\n     rows = conn.execute(\\n         \\\"\\\"\\\"\\n-        SELECT transaction_id FROM transactions\\n+        SELECT transaction_id, fx_rate_to_chf, fx_source, fx_status FROM transactions\\n         WHERE currency_original='CHF'\\n           AND (fx_status IS NULL OR fx_status='missing' OR fx_rate_to_chf IS NULL OR fx_source IS NULL)\\n         \\\"\\\"\\\"\\n     ).fetchall()\\n+    if dry_run:\\n+        return len(rows)\\n     for row in rows:\\n         conn.execute(\\n             \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n             (now, row[\\\"transaction_id\\\"]),\\n+        )\\n+        record_audit_event(\\n+            conn,\\n+            source=\\\"fx_recheck\\\",\\n+            action=\\\"set_chf_fx_not_needed\\\",\\n+            entity_type=\\\"transaction\\\",\\n+            entity_id=row[\\\"transaction_id\\\"],\\n+            old_values={\\\"fx_rate_to_chf\\\": row[\\\"fx_rate_to_chf\\\"], \\\"fx_source\\\": row[\\\"fx_source\\\"], \\\"fx_status\\\": row[\\\"fx_status\\\"]},\\n+            new_values={\\\"fx_rate_to_chf\\\": \\\"1\\\", \\\"fx_source\\\": \\\"not_needed\\\", \\\"fx_status\\\": \\\"not_needed\\\"},\\n+            user_text_note=\\\"CHF original currency requires no FX conversion.\\\",\\n         )\\n     if rows:\\n         _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, \\\"CHF\\\"))\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_oWUDbJpFDb97deLNYULDaFud", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwOpvvrLDyXWvuNadD-R-Z_AR3I_IlXrUzWJ9A8oc8ychjX8ebNN9NuhdmU_dRoeguw7YpDWkn4rhPc2F5w0yDbnMT7qjeXjxa0Rl6yHCb5FFlQalkLNm_0g8WoWansjAjmgJRcESHhUmsT7lDUa2mH0ybgODV-lw0o09pPdeoX8bxdoeS-0lfGikVhBFew-UVXAoZWNizjFK7RyIHrkCc34ypDgWMc5rJiK3EtX7662uEF-Xhq1Kmqp8Qrw5SwsrnJnP7k3AQ0SJwFN_GC8ZcVBq9Q9bqNmiStchq0OlMY5gkFEBTuXh5WQuqAEVrWoiAbBkwB51hmwSkFJnY6uom7WNMpTJNmIbMmFCOX02r_CG7VnWZ9oAaMcNacPNKSc_heZEvSRN2qowUlRfmumi6NuNPcWHmFvFTRyDlQODvMO6_tipOZg04nP4utDb1hRHedShTIGgnEmWmkx7XwqVdEJbJeLwouOiIW0fZRPITz2xj5LbeSD72aXqu-RlVdWBS7kuGOLqKMudME19EMlHWaWr_51LMOY-TTrp9tCSZfjXYt_co5JGdz6EndzQz05qz0t96yHbhjsMl7y6HSat0FFYL_f_ml5X8lVghu2AneCUDXzvHxtIa_REDwr9RT5-QKUGDL8X_3ZcNpGoVIUgy2Ia9L8GJMi4u8uA_qn8Jp414Y7GSPY6xEXx0z4FyrP2migrm_kXCGPXcOKtd9y4hJc9iuBjPLSihdd-gW8vkqQ7blB3HrA3IhbrJXQhtEpAcA5mLxstfC-sIMdclJek4nW4bXz8AJCVz7mejTOo93wMktizMIbo16I11HFwRhAVyfB1gbpgcbwxVpIkvkXn8z4_sTrt_PyPARqvv2GT7MzwMAg-ahHiBMPDtmElzdH8xnEaNPj9JHHlUxYHPJxZlFcDnoTdMLccZXkmcFC9PzbOhQlSNX353WTyP-hQwdOgQaaL8XOqjkCwSrM_YnclAxq-sHXoaFw4DPFJkpSuK6mQmE=", "id": "rs_01f9d7144110645c016a0703a741e48191821d930824c3ab83", "summary": []}], "tool_calls": [{"id": "call_2QroS5vTQfVlJX6m1DN0ifok", "call_id": "call_2QroS5vTQfVlJX6m1DN0ifok", "response_item_id": "fc_01f9d7144110645c016a0703a95e488191a463294775b738ec", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def upsert_fx_rate(\",\"old_string\":\"def upsert_fx_rate(\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": false, \"error\": \"old_string and new_string are identical\"}", "tool_call_id": "call_2QroS5vTQfVlJX6m1DN0ifok", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering data operations**\n\nI’m thinking about data operations and the process of using “upsert.” It seems like I need to insert data before I can perform that action properly. I wonder if this means I should check whether the data already exists, because sometimes just a straightforward upsert might not work as intended. I’m curious about the best way to structure this, ensuring everything runs smoothly. Let's double-check to make sure I have everything right.", "finish_reason": "tool_calls", "reasoning_content": "**Considering data operations**\n\nI’m thinking about data operations and the process of using “upsert.” It seems like I need to insert data before I can perform that action properly. I wonder if this means I should check whether the data already exists, because sometimes just a straightforward upsert might not work as intended. I’m curious about the best way to structure this, ensuring everything runs smoothly. Let's double-check to make sure I have everything right.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwOuc3JM9bZYuwbe-y3ag_FhQivxDZZ9H-wnvI0TFdQTyyJ72GJ1XZ7vmLranxvvVz19bwIDK5zsTRRbvBvivaG8QTS70PSjT-TDrlENsPOccY6os5_wyRlFopxIUILP450O_Y66OVm5-AXt4yDiRDo-1v30uX14vWnZc3w8qWoGbFryrJ30GtUsxavt6NfeSvK6Xh7PG-mGUdKY21PDwf3UCST4GBCqQtuvs4MR95iPXD0GmaGaV4M-PwSn-7R7zcOXL6J6t7v1XwHXT709H-pK8Wq0Qq9NbfDpwyK2RuWd8ZTfIn_9ovCGBYtRsJXFA_Wke5ifsO_Q9fBtf6_2ZXJ6drqUZntsc6PNMZ6yfMCbYbdg1ruaSJdfwDgBWQnVQvLCMc4pv70kKGmrO9RsdVNtJifGV3Ua7F-_nH00jVwDt6-luJm7CffuO25k0tZyRPnTMpEPQ5EhohgbS2uI6TyDeYKXyJNWfWfz6Lp7UND1zaT-Kxt4QeX_C4qQltNXEwjFuQHp1EpeIn_MaUxHlvxvlwuHWIDw1e1t0QuqCeqqXlvmT1c7CC-LjNc2dtv_n6w99M_KrHSvrRicEFJgPslN7za9IuzkgP-iDy-9n7a3CZeLzWEGwY_GhZqMM4UqXZ-XbjoCvXlEPqbGSJs3WXKFvA0QXl3RkdHVG7ohVh8wzUxzDpeCNcLstMLhCOinuP5da_aK5CZHMicX_wsRNn4JdKVhwEL5DdvGbCrDNOCrehx_SxlK4uzAjku5ahBIy_D_Ke664H84G4fH7P9aJVqtuqoJEdf8-DZWk-go1I-8Hm35hnqFf97Oqfz6Ig8sop-BXexQ0atKDB9c0OY2eu0KmV8Jvv_DzfR5kDWG7BvkbwFMVhySkIRClHdW_exvQy6cKfoTG8ma4adwkviBe5MmN9VSCl1BM18hL-f4EDQvWKNarOjyXGHIGBQr-EPLGkZ-", "id": "rs_00f083552d05b11c016a0703acfd888191a8093de5a903e2d7", "summary": [{"type": "summary_text", "text": "**Considering data operations**\n\nI’m thinking about data operations and the process of using “upsert.” It seems like I need to insert data before I can perform that action properly. I wonder if this means I should check whether the data already exists, because sometimes just a straightforward upsert might not work as intended. I’m curious about the best way to structure this, ensuring everything runs smoothly. Let's double-check to make sure I have everything right."}]}], "tool_calls": [{"id": "call_Kh4UxoLdaD181Hq98rjRVzOJ", "call_id": "call_Kh4UxoLdaD181Hq98rjRVzOJ", "response_item_id": "fc_00f083552d05b11c016a0703ae973c8191b0b11ec746ac5743", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def recheck_transaction_fx_status(conn: Connection, *, source_type: str | None = None, dry_run: bool = False) -> FxRecheckResult:\\n    result = FxRecheckResult(dry_run=dry_run)\\n    params: list[object] = []\\n    where = \\\"COALESCE(is_voided,0)=0 AND transaction_type='initial_position_snapshot'\\\"\\n    if source_type:\\n        where += \\\" AND source_type=?\\\"\\n        params.append(source_type)\\n    rows = conn.execute(\\n        f\\\"\\\"\\\"\\n        SELECT transaction_id, instrument_id, currency_original, fx_status, fx_rate_to_chf, fx_source\\n        FROM transactions\\n        WHERE {where}\\n        \\\"\\\"\\\",\\n        tuple(params),\\n    ).fetchall()\\n    result.transaction_count = len(rows)\\n    chf_ids: list[str] = []\\n    foreign_ids: list[str] = []\\n    false_positive_ids: list[str] = []\\n    justified_ids: list[str] = []\\n    for row in rows:\\n        cur = (row[\\\"currency_original\\\"] or \\\"\\\").upper()\\n        inst = row[\\\"instrument_id\\\"]\\n        if cur == \\\"CHF\\\":\\n            result.chf_positions += 1\\n            if inst:\\n                chf_ids.append(inst)\\n            if row[\\\"fx_status\\\"] == \\\"missing\\\" or row[\\\"fx_rate_to_chf\\\"] in (None, \\\"\\\") or row[\\\"fx_source\\\"] in (None, \\\"\\\"):\\n                result.corrected_transactions += 1\\n                if inst:\\n                    false_positive_ids.append(inst)\\n                if not dry_run:\\n                    conn.execute(\\n                        \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n                        (utc_now(), row[\\\"transaction_id\\\"]),\\n                    )\\n                    record_audit_event(\\n                        conn,\\n                        source=\\\"fx_recheck\\\",\\n                        action=\\\"set_chf_fx_not_needed\\\",\\n                        entity_type=\\\"transaction\\\",\\n                        entity_id=row[\\\"transaction_id\\\"],\\n                        old_values={\\\"fx_rate_to_chf\\\": row[\\\"fx_rate_to_chf\\\"], \\\"fx_source\\\": row[\\\"fx_source\\\"], \\\"fx_status\\\": row[\\\"fx_status\\\"]},\\n                        new_values={\\\"fx_rate_to_chf\\\": \\\"1\\\", \\\"fx_source\\\": \\\"not_needed\\\", \\\"fx_status\\\": \\\"not_needed\\\"},\\n                        user_text_note=\\\"CHF initial snapshot requires no FX conversion.\\\",\\n                    )\\n                    result.audit_events += 1\\n        else:\\n            result.foreign_currency_positions += 1\\n            if inst:\\n                foreign_ids.append(inst)\\n            if row[\\\"fx_status\\\"] == \\\"missing\\\" or not latest_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=None):\\n                if inst:\\n                    justified_ids.append(inst)\\n    if false_positive_ids:\\n        result.false_positive_missing_fx_alerts = len(conn.execute(\\n            \\\"SELECT alert_id FROM alerts WHERE status='active' AND rule_id='missing_fx' AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in false_positive_ids) + \\\")\\\",\\n            tuple(false_positive_ids),\\n        ).fetchall())\\n        if not dry_run:\\n            result.resolved_alerts += _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=false_positive_ids)\\n    if justified_ids:\\n        result.justified_missing_fx_alerts = len(conn.execute(\\n            \\\"SELECT alert_id FROM alerts WHERE status='active' AND rule_id='missing_fx' AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in justified_ids) + \\\")\\\",\\n            tuple(justified_ids),\\n        ).fetchall())\\n    if not dry_run:\\n        conn.commit()\\n    return result\\n\\n\\ndef upsert_fx_rate(\",\"old_string\":\"def upsert_fx_rate(\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\\n@@ -96,6 +96,77 @@\\n         _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, \\\"CHF\\\"))\\n         conn.commit()\\n     return len(rows)\\n+\\n+\\n+def recheck_transaction_fx_status(conn: Connection, *, source_type: str | None = None, dry_run: bool = False) -> FxRecheckResult:\\n+    result = FxRecheckResult(dry_run=dry_run)\\n+    params: list[object] = []\\n+    where = \\\"COALESCE(is_voided,0)=0 AND transaction_type='initial_position_snapshot'\\\"\\n+    if source_type:\\n+        where += \\\" AND source_type=?\\\"\\n+        params.append(source_type)\\n+    rows = conn.execute(\\n+        f\\\"\\\"\\\"\\n+        SELECT transaction_id, instrument_id, currency_original, fx_status, fx_rate_to_chf, fx_source\\n+        FROM transactions\\n+        WHERE {where}\\n+        \\\"\\\"\\\",\\n+        tuple(params),\\n+    ).fetchall()\\n+    result.transaction_count = len(rows)\\n+    chf_ids: list[str] = []\\n+    foreign_ids: list[str] = []\\n+    false_positive_ids: list[str] = []\\n+    justified_ids: list[str] = []\\n+    for row in rows:\\n+        cur = (row[\\\"currency_original\\\"] or \\\"\\\").upper()\\n+        inst = row[\\\"instrument_id\\\"]\\n+        if cur == \\\"CHF\\\":\\n+            result.chf_positions += 1\\n+            if inst:\\n+                chf_ids.append(inst)\\n+            if row[\\\"fx_status\\\"] == \\\"missing\\\" or row[\\\"fx_rate_to_chf\\\"] in (None, \\\"\\\") or row[\\\"fx_source\\\"] in (None, \\\"\\\"):\\n+                result.corrected_transactions += 1\\n+                if inst:\\n+                    false_positive_ids.append(inst)\\n+                if not dry_run:\\n+                    conn.execute(\\n+                        \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n+                        (utc_now(), row[\\\"transaction_id\\\"]),\\n+                    )\\n+                    record_audit_event(\\n+                        conn,\\n+                        source=\\\"fx_recheck\\\",\\n+                        action=\\\"set_chf_fx_not_needed\\\",\\n+                        entity_type=\\\"transaction\\\",\\n+                        entity_id=row[\\\"transaction_id\\\"],\\n+                        old_values={\\\"fx_rate_to_chf\\\": row[\\\"fx_rate_to_chf\\\"], \\\"fx_source\\\": row[\\\"fx_source\\\"], \\\"fx_status\\\": row[\\\"fx_status\\\"]},\\n+                        new_values={\\\"fx_rate_to_chf\\\": \\\"1\\\", \\\"fx_source\\\": \\\"not_needed\\\", \\\"fx_status\\\": \\\"not_needed\\\"},\\n+                        user_text_note=\\\"CHF initial snapshot requires no FX conversion.\\\",\\n+                    )\\n+                    result.audit_events += 1\\n+        else:\\n+            result.foreign_currency_positions += 1\\n+            if inst:\\n+                foreign_ids.append(inst)\\n+            if row[\\\"fx_status\\\"] == \\\"missing\\\" or not latest_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=None):\\n+                if inst:\\n+                    justified_ids.append(inst)\\n+    if false_positive_ids:\\n+        result.false_positive_missing_fx_alerts = len(conn.execute(\\n+            \\\"SELECT alert_id FROM alerts WHERE status='active' AND rule_id='missing_fx' AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in false_positive_ids) + \\\")\\\",\\n+            tuple(false_positive_ids),\\n+        ).fetchall())\\n+        if not dry_run:\\n+            result.resolved_alerts += _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=false_positive_ids)\\n+    if justified_ids:\\n+        result.justified_missing_fx_alerts = len(conn.execute(\\n+            \\\"SELECT alert_id FROM alerts WHERE status='active' AND rule_id='missing_fx' AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in justified_ids) + \\\")\\\",\\n+            tuple(justified_ids),\\n+        ).fetchall())\\n+    if not dry_run:\\n+        conn.commit()\\n+    return result\\n \\n \\n def upsert_fx_rate(\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Kh4UxoLdaD181Hq98rjRVzOJ", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Evaluating code updates**\n\nI’m considering some code updates. I need to check the foreign IDs and linting. Maybe I should add tests for audits, since the existing ones could be failing. I think updating the `_mark` calls could help, but first, I’ll check on the Pyright type issues. I’m also thinking I need a provider CLI, perhaps adding `NullFxProvider` or `Fixed`. Using Mock could be useful, and keeping the CLI options simple would be ideal. I’ll remember to update the main imports too!", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating code updates**\n\nI’m considering some code updates. I need to check the foreign IDs and linting. Maybe I should add tests for audits, since the existing ones could be failing. I think updating the `_mark` calls could help, but first, I’ll check on the Pyright type issues. I’m also thinking I need a provider CLI, perhaps adding `NullFxProvider` or `Fixed`. Using Mock could be useful, and keeping the CLI options simple would be ideal. I’ll remember to update the main imports too!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwPGYqj_d0eQGJzRlPvxElQpwcOBnW09QtS4LKxB8F4Re5vEpHANgIoQ5THFr-4j0bgdziG1FufNVjYQjE8nic0Nhyt7e2pQnBPV_5b5ap3gzlDR2QVzV6_jkmFxuOt9kPIllf3U1FKNzx-3dOOoTB1M1VU30ao3NtTVwku2chICq1tAcIK2n2Ea3aVhlWD_xj4SsFkFjyLbTh8RZQT5ywy1zGud-zHwHxnW5fewczV6SH_nDTmwC_D4K-oY-NbnEoIHz_zeEJG9p1iFZWhh-U4PKIvqx8cyxUBDsPMg2jXE1AidZ7MmVUsNKlrfo6pIIYnoZoR1EBFL25ZqmydnaL_yJ0VA9BQsr3oS1V-0J4-nBky74MDvfTC5dOgUSTtTDWiTVT3AltVkx28xWJ35lFyKL_1_CUJ2Ug6cp-NuyzZQ79q-KrGtkTGbjZshY4B-wgb4JXWJVg5hVq825c_w6_y3zoc05QYopUqDk26Q68XPAGJT717XxuzV3cP-JT729VFbeeiaMOr9w6WH1if9O8t1glrOfwZYuLaFgJiswdF_1XRXKw3tP-6BbI6By79Nol6E8RQ6b_o6rK528Dr6MXlnkAi7myOMx-0zIGI17dYEMVyfAbwKA_Imy6WNSl6Vov3tV6ejomTa7u_8ZK7ugkUr43lyETHn37dOOzsvzq2Ta9_WhZ4kzqDBtalejDgr3gdwGl9DnHrEJvh5_JPNhAzx6z20rGIltfoJiORIUVX_GN72GcrEoI5TLNt4FfcFTLVUGa7GCtn_XXfjwV4ApGFIT-GIuNWMbhr_47O3xHqsbsQJY7PmTzbt6NPLy08jtdsiMTg8TLsq5hcR2YXiutzanQyTJQf8RYYhbG7CHe2jtyJo_AKpIOrDGkiAhNei59dCFqs3_aUM-W8kwA44AURHTCpVfz0UPM_ufuJmYw9bqlvzu9pDCevOv4MOXgPLJzTxZtcf95bFMSF97dmf80YnB0-Zp7cJCGWlwOLoMsIbX8GI6hj9Qrxy-KavKF5pu2ZO-85Qr7c8PIpP6NTHETVFC5aieUkd7zfnmXljDcQ2moNDr1O4Sy47CCXrxLxTYGrUPsrggRmmeeoS1GabbFU4mJuqgZAVlbze0dehnQdVSGiMFzs6S98oNsBl7jaWGMv-QGM52AeU2P8vyL_bvuFCKVaIpyibB9IvNnmJesFbh976SiwCksN_FpZbePFhQjDPW07X89CXDxbVJLp_ljc844MJnwyA0L57SRjL0lWtoUMzV2S0fn7JBKJM_XG0LlHXDtyPiti6Wr0VOzBJfmLv1U3rNEYNkruJp7V-HzNlKWRoxBBtlKmQheCU4AvDDTA4", "id": "rs_0473333a15b8e304016a0703c2301c8191b18eb3e09bdc4ded", "summary": [{"type": "summary_text", "text": "**Evaluating code updates**\n\nI’m considering some code updates. I need to check the foreign IDs and linting. Maybe I should add tests for audits, since the existing ones could be failing. I think updating the `_mark` calls could help, but first, I’ll check on the Pyright type issues. I’m also thinking I need a provider CLI, perhaps adding `NullFxProvider` or `Fixed`. Using Mock could be useful, and keeping the CLI options simple would be ideal. I’ll remember to update the main imports too!"}]}], "tool_calls": [{"id": "call_Ff9O4L6uky9MNOd7jJiCYCym", "call_id": "call_Ff9O4L6uky9MNOd7jJiCYCym", "response_item_id": "fc_0473333a15b8e304016a0703c68c1481918a1b5cbd14bfc103", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\nfrom jarvis_finance.fx.providers import MockFxProvider\\nfrom jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\nfrom jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\nfrom jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices\\nfrom jarvis_finance.quality.data_quality import check_crypto_data_quality\",\"old_string\":\"from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\nfrom jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\nfrom jarvis_finance.quality.data_quality import check_crypto_data_quality\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -4,7 +4,10 @@\\n from pathlib import Path\\n \\n from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n+from jarvis_finance.fx.providers import MockFxProvider\\n+from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\n from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n+from jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices\\n from jarvis_finance.quality.data_quality import check_crypto_data_quality\\n from jarvis_finance.quality.git_safety import assert_safe, scan_path\\n from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Ff9O4L6uky9MNOd7jJiCYCym", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_O9NZ3Y78iagBLnJUHslvEqXZ", "call_id": "call_O9NZ3Y78iagBLnJUHslvEqXZ", "response_item_id": "fc_06a82d8de6e6974c016a0703cf8d5c8191a2961bb4d6677a3c", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"    dq.add_argument(\\\"--max-age-seconds\\\", type=int, default=86_400)\\n    fx = sub.add_parser(\\\"update-fx-rates\\\")\\n    fx.add_argument(\\\"--date\\\", dest=\\\"rate_date\\\")\\n    fx.add_argument(\\\"--latest\\\", action=\\\"store_true\\\")\\n    fx.add_argument(\\\"--missing-only\\\", action=\\\"store_true\\\")\\n    fx.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    fx.add_argument(\\\"--currency\\\", action=\\\"append\\\", dest=\\\"currencies\\\")\\n    fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\\n    fx.add_argument(\\\"--recheck-transactions\\\", action=\\\"store_true\\\")\\n    fx.add_argument(\\\"--source-type\\\")\\n    market_prices = sub.add_parser(\\\"update-market-prices\\\")\\n    market_prices.add_argument(\\\"--asset-class\\\", choices=[\\\"etf\\\", \\\"equity\\\"], required=True)\\n    market_prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    market_prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    market_prices.add_argument(\\\"--only-isin\\\")\\n    market_prices.add_argument(\\\"--limit\\\", type=int)\\n    market_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    market_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n    market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n    sub.add_parser(\\\"backup-runtime-db\\\")\",\"old_string\":\"    dq.add_argument(\\\"--max-age-seconds\\\", type=int, default=86_400)\\n    sub.add_parser(\\\"backup-runtime-db\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -40,6 +40,24 @@\\n     dq.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n     dq.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n     dq.add_argument(\\\"--max-age-seconds\\\", type=int, default=86_400)\\n+    fx = sub.add_parser(\\\"update-fx-rates\\\")\\n+    fx.add_argument(\\\"--date\\\", dest=\\\"rate_date\\\")\\n+    fx.add_argument(\\\"--latest\\\", action=\\\"store_true\\\")\\n+    fx.add_argument(\\\"--missing-only\\\", action=\\\"store_true\\\")\\n+    fx.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n+    fx.add_argument(\\\"--currency\\\", action=\\\"append\\\", dest=\\\"currencies\\\")\\n+    fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\\n+    fx.add_argument(\\\"--recheck-transactions\\\", action=\\\"store_true\\\")\\n+    fx.add_argument(\\\"--source-type\\\")\\n+    market_prices = sub.add_parser(\\\"update-market-prices\\\")\\n+    market_prices.add_argument(\\\"--asset-class\\\", choices=[\\\"etf\\\", \\\"equity\\\"], required=True)\\n+    market_prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n+    market_prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n+    market_prices.add_argument(\\\"--only-isin\\\")\\n+    market_prices.add_argument(\\\"--limit\\\", type=int)\\n+    market_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n+    market_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n+    market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n     sub.add_parser(\\\"backup-runtime-db\\\")\\n     restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n     restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_O9NZ3Y78iagBLnJUHslvEqXZ", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering imports**\n\nI need to think about importing the Decimal module. It seems like it could simplify any calculations that require high precision, especially with financial data. Hmm, I should check if this will improve the accuracy of my results. It’s important to ensure I’m using the right tools for the task at hand. So, I'll double-check whether I've used the Decimal module before and if it’s suitable for my needs right now.", "finish_reason": "tool_calls", "reasoning_content": "**Considering imports**\n\nI need to think about importing the Decimal module. It seems like it could simplify any calculations that require high precision, especially with financial data. Hmm, I should check if this will improve the accuracy of my results. It’s important to ensure I’m using the right tools for the task at hand. So, I'll double-check whether I've used the Decimal module before and if it’s suitable for my needs right now.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwPhZR2QvyCrKH08I3H0KtBdCUa0Nb08dTnW0w7fwOSuLQjKL9q3XEj2lpZHEAWOyBVBR8bTQoS85N4OconlOWUaxPiKeLPeZNV-K_aVpjjd7hJHXPb_qBz2PlYbVDOoQ_iT9-y_NkkSdc5VX9qew3ko_itcLoC2KjyWs9Dauh05gBNXLsMBY-7RDYPcNCWyvaKuV-E-mmMm9OF6oVD4DmDzdSygMc9CmoWnftELJMxt1JfXf9BYNK-zDsjMW_Pukuhx-ucbFWexVAYsklKRms37OJ6fWhhvo3_zFT6Q3kTOKwAciTiXuSE9fGgj0tG5PJy1hQ5dNCRilDlrJjiBwhk0jgiuqgmrlj7O_yPk_qGgEnH5_Je9RJNb9yuW7gPV0JZypyxqT7R1h3hwZWUDKPi6VDWEpUv0CiI_5oi6I7lRhsQYkCOO4bFeO6fmvlzp5efdlNfCDJqqd-klZGXOGRJopisd6J4FgrsAAbZ_-rtQbE1Q9K1kGu15ZLadM-UA4DtdshcjhdE8GLm8JA-hEqf9N-znwIhAitwtxBk9-Hgi3WbdiN_ioyi9x9OIm_FI5rnsHqxLZu68kpoFfqI_UZFxsJWrpzTSip-paDsWxIXL9aqe2_zIBGwWfMcUQ9Tijftmvd2eEGZNGiCmW5h8e27A-c5O6vkuAXlU5o1-1BdzGWHnx0cHq0FCeavy6PHB-6WuR_A98ElGhJ3NukvfsttJiqWTccAyZ4h7rXdSs-mJ4_o-L1XZw4mgv8Mf5PHs6GkYzOvdZC66v0glZCc2qOrEy5izgjMrq_LUT0Vxc7B-PR2Bv8hy0Hl-9NBYwXak2Sa5yt7I6-QZA5xVVXOnmWyM0n-HDsII7wXaxlyE_lqH40JdLbrJMwpQvlDH17hskTehXH-GzhiN0zZUMudD9NzDNaZUEnt36BocIYqtSdLQiEFcK8FDOE1pCiYdtueXBPt_", "id": "rs_0a81e67b6171cb88016a0703debcdc8191b6de63195849bb09", "summary": [{"type": "summary_text", "text": "**Considering imports**\n\nI need to think about importing the Decimal module. It seems like it could simplify any calculations that require high precision, especially with financial data. Hmm, I should check if this will improve the accuracy of my results. It’s important to ensure I’m using the right tools for the task at hand. So, I'll double-check whether I've used the Decimal module before and if it’s suitable for my needs right now."}]}], "tool_calls": [{"id": "call_gvsKXZ7DmogUOUyuKUIjsaGu", "call_id": "call_gvsKXZ7DmogUOUyuKUIjsaGu", "response_item_id": "fc_0a81e67b6171cb88016a0703e128a481919869cc1d5564cb30", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"import argparse\\nfrom decimal import Decimal\\nfrom pathlib import Path\",\"old_string\":\"import argparse\\nfrom pathlib import Path\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -1,6 +1,7 @@\\n from __future__ import annotations\\n \\n import argparse\\n+from decimal import Decimal\\n from pathlib import Path\\n \\n from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_gvsKXZ7DmogUOUyuKUIjsaGu", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_icX2Hz8UxuGs3nnRlrAQjtDS", "call_id": "call_icX2Hz8UxuGs3nnRlrAQjtDS", "response_item_id": "fc_026928b41952fbfe016a0703e511a081919b573414d41b43a6", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"    if args.command == \\\"check-data-quality\\\":\\n        settings = load_settings()\",\"old_string\":\"    if args.command == \\\"check-data-quality\\\":\\n        settings = load_settings()\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": false, \"error\": \"old_string and new_string are identical\"}", "tool_call_id": "call_icX2Hz8UxuGs3nnRlrAQjtDS", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": 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"id": "rs_06d1437ed597bf49016a0703e9a2748191b310cde7e4363a36", "summary": []}], "tool_calls": [{"id": "call_8mqvqapdiMwW6ZwvDfQvG9TH", "call_id": "call_8mqvqapdiMwW6ZwvDfQvG9TH", "response_item_id": "fc_06d1437ed597bf49016a0703ebe7c48191b64de01dfed1fb72", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"        finally:\\n            conn.close()\\n    if args.command == \\\"update-fx-rates\\\":\\n        settings = load_settings()\\n        ensure_runtime_dirs(settings)\\n        conn = connect(settings.db_path)\\n        try:\\n            apply_migrations(conn)\\n            if args.recheck_transactions:\\n                result = recheck_transaction_fx_status(conn, source_type=args.source_type, dry_run=args.dry_run)\\n                print(\\n                    \\\"FX_RECHECK \\\"\\n                    f\\\"transactions={result.transaction_count} chf_positions={result.chf_positions} \\\"\\n                    f\\\"foreign_currency_positions={result.foreign_currency_positions} \\\"\\n                    f\\\"justified_missing_fx_alerts={result.justified_missing_fx_alerts} \\\"\\n                    f\\\"false_positive_missing_fx_alerts={result.false_positive_missing_fx_alerts} \\\"\\n                    f\\\"corrected_transactions={result.corrected_transactions} resolved_alerts={result.resolved_alerts} \\\"\\n                    f\\\"audit_events={result.audit_events} dry_run={str(result.dry_run).lower()}\\\"\\n                )\\n                return 0\\n            if not args.rate_date and not args.latest:\\n                parser.error(\\\"update-fx-rates requires --date or --latest unless --recheck-transactions is used\\\")\\n            mock_rates: dict[tuple[str, str, str], Decimal | None] = {}\\n            for item in args.mock_rate:\\n                base, rate = item.split(\\\"=\\\", 1)\\n                mock_rates[(base.upper(), \\\"CHF\\\", args.rate_date or \\\"latest\\\")] = Decimal(rate)\\n            currencies = args.currencies or sorted({r[\\\"currency_original\\\"] for r in conn.execute(\\\"SELECT DISTINCT currency_original FROM transactions WHERE currency_original IS NOT NULL\\\").fetchall()})\\n            provider = MockFxProvider(mock_rates)\\n            result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or \\\"latest\\\", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)\\n            print(\\n                \\\"FX_RATE_UPDATE \\\"\\n                f\\\"updated={result.updated_count} cached={result.cached_count} skipped={result.skipped_count} \\\"\\n                f\\\"warnings={result.warning_count} errors={result.error_count} resolved_alerts={result.resolved_alerts} \\\"\\n                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n            )\\n            return 1 if result.error_count else 0\\n        finally:\\n            conn.close()\\n    if args.command == \\\"update-market-prices\\\":\\n        settings = load_settings()\\n        ensure_runtime_dirs(settings)\\n        conn = connect(settings.db_path)\\n        try:\\n            apply_migrations(conn)\\n            prices = {}\\n            for item in args.mock_price:\\n                symbol, price = item.split(\\\"=\\\", 1)\\n                prices[symbol] = Decimal(price)\\n            result = refresh_market_prices(\\n                conn,\\n                provider=MockEquityPriceProvider(prices),\\n                asset_class=args.asset_class,\\n                price_date=args.price_date,\\n                only_missing=args.only_missing,\\n                only_stale=args.only_stale,\\n                only_isin=args.only_isin,\\n                limit=args.limit,\\n                dry_run=args.dry_run,\\n            )\\n            print(\\n                \\\"MARKET_PRICE_UPDATE \\\"\\n                f\\\"asset_class={result.asset_class} total_mappings={result.total_mappings} updated={result.updated_count} \\\"\\n                f\\\"cached={result.cached_count} skipped={result.skipped_count} stale={result.stale_count} \\\"\\n                f\\\"warnings={result.warning_count} errors={result.error_count} dry_run={str(result.dry_run).lower()}\\\"\\n            )\\n            return 1 if result.error_count else 0\\n        finally:\\n            conn.close()\\n    if args.command == \\\"check-data-quality\\\":\",\"old_string\":\"        finally:\\n            conn.close()\\n    if args.command == \\\"check-data-quality\\\":\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -117,6 +117,72 @@\\n             return 1 if result.error_count else 0\\n         finally:\\n             conn.close()\\n+    if args.command == \\\"update-fx-rates\\\":\\n+        settings = load_settings()\\n+        ensure_runtime_dirs(settings)\\n+        conn = connect(settings.db_path)\\n+        try:\\n+            apply_migrations(conn)\\n+            if args.recheck_transactions:\\n+                result = recheck_transaction_fx_status(conn, source_type=args.source_type, dry_run=args.dry_run)\\n+                print(\\n+                    \\\"FX_RECHECK \\\"\\n+                    f\\\"transactions={result.transaction_count} chf_positions={result.chf_positions} \\\"\\n+                    f\\\"foreign_currency_positions={result.foreign_currency_positions} \\\"\\n+                    f\\\"justified_missing_fx_alerts={result.justified_missing_fx_alerts} \\\"\\n+                    f\\\"false_positive_missing_fx_alerts={result.false_positive_missing_fx_alerts} \\\"\\n+                    f\\\"corrected_transactions={result.corrected_transactions} resolved_alerts={result.resolved_alerts} \\\"\\n+                    f\\\"audit_events={result.audit_events} dry_run={str(result.dry_run).lower()}\\\"\\n+                )\\n+                return 0\\n+            if not args.rate_date and not args.latest:\\n+                parser.error(\\\"update-fx-rates requires --date or --latest unless --recheck-transactions is used\\\")\\n+            mock_rates: dict[tuple[str, str, str], Decimal | None] = {}\\n+            for item in args.mock_rate:\\n+                base, rate = item.split(\\\"=\\\", 1)\\n+                mock_rates[(base.upper(), \\\"CHF\\\", args.rate_date or \\\"latest\\\")] = Decimal(rate)\\n+            currencies = args.currencies or sorted({r[\\\"currency_original\\\"] for r in conn.execute(\\\"SELECT DISTINCT currency_original FROM transactions WHERE currency_original IS NOT NULL\\\").fetchall()})\\n+            provider = MockFxProvider(mock_rates)\\n+            result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or \\\"latest\\\", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)\\n+            print(\\n+                \\\"FX_RATE_UPDATE \\\"\\n+                f\\\"updated={result.updated_count} cached={result.cached_count} skipped={result.skipped_count} \\\"\\n+                f\\\"warnings={result.warning_count} errors={result.error_count} resolved_alerts={result.resolved_alerts} \\\"\\n+                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n+            )\\n+            return 1 if result.error_count else 0\\n+        finally:\\n+            conn.close()\\n+    if args.command == \\\"update-market-prices\\\":\\n+        settings = load_settings()\\n+        ensure_runtime_dirs(settings)\\n+        conn = connect(settings.db_path)\\n+        try:\\n+            apply_migrations(conn)\\n+            prices = {}\\n+            for item in args.mock_price:\\n+                symbol, price = item.split(\\\"=\\\", 1)\\n+                prices[symbol] = Decimal(price)\\n+            result = refresh_market_prices(\\n+                conn,\\n+                provider=MockEquityPriceProvider(prices),\\n+                asset_class=args.asset_class,\\n+                price_date=args.price_date,\\n+                only_missing=args.only_missing,\\n+                only_stale=args.only_stale,\\n+                only_isin=args.only_isin,\\n+                limit=args.limit,\\n+                dry_run=args.dry_run,\\n+            )\\n+            print(\\n+                \\\"MARKET_PRICE_UPDATE \\\"\\n+                f\\\"asset_class={result.asset_class} total_mappings={result.total_mappings} updated={result.updated_count} \\\"\\n+                f\\\"cached={result.cached_count} skipped={result.skipped_count} stale={result.stale_count} \\\"\\n+                f\\\"warnings={result.warning_count} errors={result.error_count} dry_run={str(result.dry_run).lower()}\\\"\\n+            )\\n+            return 1 if result.error_count else 0\\n+        finally:\\n+            conn.close()\\n     if args.command == \\\"check-data-quality\\\":\\n         settings = load_settings()\\n         ensure_runtime_dirs(settings)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_8mqvqapdiMwW6ZwvDfQvG9TH", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|\\n     6|class MockFxProvider:\\n     7|    name = \\\"mock\\\"\\n     8|\\n     9|    def __init__(self, rates: dict[tuple[str, str, str], Decimal | str | None]) -> None:\\n    10|        self.rates = {(a.upper(), b.upper(), d): (Decimal(str(v)) if v is not None else None) for (a, b, d), v in rates.items()}\\n    11|\\n    12|    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None:\\n    13|        if base_currency.upper() == quote_currency.upper():\\n    14|            return Decimal(\\\"1\\\")\\n    15|        if rate_date is None:\\n    16|            candidates = [(d, v) for (a, b, d), v in self.rates.items() if a == base_currency.upper() and b == quote_currency.upper()]\\n    17|            if not candidates:\\n    18|                return None\\n    19|            return sorted(candidates, key=lambda item: item[0])[-1][1]\\n    20|        return self.rates.get((base_currency.upper(), quote_currency.upper(), rate_date))\\n    21|\", \"total_lines\": 20, \"file_size\": 916, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_7NiKUZHeBpFQT5LBBnAZe6iE", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwQFyTHMXIU5iEZGeDRt3PZcAxfhHf6-T336kSA7kWjoS7cgQyhZdEg09x6CIoeXVi9ZvEnoZMwsfYlobinS4x7XS86yRUfQFkuRvd8oiZiwhXzBw_StKamecipdIG6js5yL5CNJgwjv9QRbfarj0RCVoLOv2Ep70dwDWV5apvbEv3yeYkp631GGRHdI8v6BldKV6P-E8PZ_xa9kKt1pMbFAQx6bTCxhmdmZFuoeuDSGBQI0dhHjH7jerjAKUrEoJzeBcKOmgtVyf4hYYgCPONFXDpib4K1wUm0YGhNYBwijJEQgfGNlYT2DJ1ISlBicUW0_0mlK793k8oJzDGDFuCCU2c0GCnXRghzQzkP9jO84l8kp_uITuIkco_2KSYdqNp8g1U0KQvRzcr2WltiTC1RlxUGHsiJeoWd2cFT2GpO-sdk_OHLp2-nCU48O2yS8DZL35SpTxRRMjEt_io4-eaDcnhn0xZqgQDpTW1QdAbCvdavAfLftaePmshIWlvLY2aZetvSzrp9uHyCQwNe7Tu3-LG4UpZG7FmwLyuFOgr-7LifRdaM1b-8wRl8w-VyXh8A-8Qjlekdxb41lMTq0TSMBguHidMO91WHArZ6zTgAS0sD-a_kVLRFV30RrqBKodc4yXA4oG456wOm3rGBcmjY7RJEB5Wz99LJTdzilY9M7qDCheW95KOTw6VEDm9am8IqebhxG-KICkZF75iMm3CqB6hIeqLtNyqBzvAaK7s_Ee4ZV24Urji7iUWJ6x5Y8LlysIWlTKtT-LJDiXO47h9Wi-jSCL_T6vjUnjn7OekTgBRpMtJDGasFu-YX8TrzR4LdwvU9O_gGxjZFJtg_VprASbw0kxBAZvQpVLIBrx98EeEjYDW_BPNsq_zH_gGf_jOemhtAvJZCsA42NPhL1JVneZkIn2a8AYnwbL8Li4SsiOOHgt7lv0gfHVymFAptH2btBUGxOgdLkGXkS55HRGe7_8hcYKfozw922U7uLOfR668G1iT1g9vdeEt_1-bvAjxmrWDujHJzUt0DoLaHaUkW07c-S9N2NPRy-QF6c7vo3YXE=", "id": "rs_0b5039078b106f49016a070404611c8191bee6c5db01d121e0", "summary": []}], "tool_calls": [{"id": "call_UnV6gRpLBpGiu2hhMetPjdSl", "call_id": "call_UnV6gRpLBpGiu2hhMetPjdSl", "response_item_id": "fc_0b5039078b106f49016a0704057924819190c1527188cf350f", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.fx.rates import get_fx_rate_to_chf, recheck_transaction_fx_status, update_fx_rates, upsert_fx_rate\",\"old_string\":\"from jarvis_finance.fx.rates import get_fx_rate_to_chf, update_fx_rates, upsert_fx_rate\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n@@ -4,7 +4,7 @@\\n \\n import pytest\\n \\n-from jarvis_finance.fx.rates import get_fx_rate_to_chf, update_fx_rates, upsert_fx_rate\\n+from jarvis_finance.fx.rates import get_fx_rate_to_chf, recheck_transaction_fx_status, update_fx_rates, upsert_fx_rate\\n from jarvis_finance.fx.overrides import set_manual_fx_override\\n from jarvis_finance.fx.providers import MockFxProvider\\n from jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices, store_market_price\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_UnV6gRpLBpGiu2hhMetPjdSl", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_kAdCbNyF0nmcnbbFDaFGFiZS", "call_id": "call_kAdCbNyF0nmcnbbFDaFGFiZS", "response_item_id": "fc_0b07449d55675d61016a07040b10a4819189b306104a53d3fd", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"def test_chf_fx_is_not_needed_and_missing_alert_can_be_resolved() -> None:\\n    conn = setup_conn()\\n    conn.execute(\\\"\\\"\\\"\\n        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n        VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','test',1,'warning','now')\\n    \\\"\\\"\\\")\\n    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing','active','now')\\\")\\n\\n    assert get_fx_rate_to_chf(conn, base_currency='CHF') == Decimal('1')\\n    row = conn.execute(\\\"SELECT fx_rate_to_chf, fx_source, fx_status FROM transactions WHERE transaction_id='tx-chf'\\\").fetchone()\\n    assert row['fx_rate_to_chf'] == '1'\\n    assert row['fx_source'] == 'not_needed'\\n    assert row['fx_status'] == 'not_needed'\\n\\n\\ndef test_recheck_transaction_fx_status_corrects_chf_false_positive_with_audit() -> None:\\n    conn = setup_conn()\\n    conn.execute(\\\"\\\"\\\"\\n        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n        VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','true_wealth',1,'warning','now')\\n    \\\"\\\"\\\")\\n    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing_fx','missing','active','now')\\\")\\n\\n    result = recheck_transaction_fx_status(conn, source_type='true_wealth')\\n\\n    assert result.transaction_count == 1\\n    assert result.chf_positions == 1\\n    assert result.false_positive_missing_fx_alerts == 1\\n    assert result.corrected_transactions == 1\\n    assert result.resolved_alerts == 1\\n    assert result.audit_events == 1\\n    assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al-chf'\\\").fetchone()['status'] == 'resolved'\\n    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='set_chf_fx_not_needed'\\\").fetchone()['c'] == 1\\n\\n\\ndef test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\",\"old_string\":\"def test_chf_fx_is_not_needed_and_missing_alert_can_be_resolved() -> None:\\n    conn = setup_conn()\\n    conn.execute(\\\"\\\"\\\"\\n        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n        VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','test',1,'warning','now')\\n    \\\"\\\"\\\")\\n    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing','active','now')\\\")\\n\\n    assert get_fx_rate_to_chf(conn, base_currency='CHF') == Decimal('1')\\n    row = conn.execute(\\\"SELECT fx_rate_to_chf, fx_source, fx_status FROM transactions WHERE transaction_id='tx-chf'\\\").fetchone()\\n    assert row['fx_rate_to_chf'] == '1'\\n    assert row['fx_source'] == 'not_needed'\\n    assert row['fx_status'] == 'not_needed'\\n\\n\\ndef test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n@@ -24,22 +24,42 @@\\n     return conn\\n \\n \\n-def test_chf_to_chf_is_not_needed_and_missing_fx_alert_resolves() -> None:\\n+def test_chf_fx_is_not_needed_and_missing_alert_can_be_resolved() -> None:\\n     conn = setup_conn()\\n     conn.execute(\\\"\\\"\\\"\\n         INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n-        VALUES('tx1','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','test',1,'warning','now')\\n+        VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','test',1,'warning','now')\\n     \\\"\\\"\\\")\\n-    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al1','kritisch','ledger','instrument','chf1','missing_fx','missing','active','now')\\\")\\n+    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing','active','now')\\\")\\n \\n-    rate = get_fx_rate_to_chf(conn, base_currency=\\\"CHF\\\", rate_date=\\\"2025-12-31\\\", resolve_fixed=True)\\n+    assert get_fx_rate_to_chf(conn, base_currency='CHF') == Decimal('1')\\n+    row = conn.execute(\\\"SELECT fx_rate_to_chf, fx_source, fx_status FROM transactions WHERE transaction_id='tx-chf'\\\").fetchone()\\n+    assert row['fx_rate_to_chf'] == '1'\\n+    assert row['fx_source'] == 'not_needed'\\n+    assert row['fx_status'] == 'not_needed'\\n \\n-    row = conn.execute(\\\"SELECT fx_rate_to_chf, fx_source, fx_status FROM transactions WHERE transaction_id='tx1'\\\").fetchone()\\n-    alert = conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al1'\\\").fetchone()\\n-    assert rate == Decimal(\\\"1\\\")\\n-    assert row[\\\"fx_rate_to_chf\\\"] == \\\"1\\\"\\n-    assert row[\\\"fx_source\\\"] == \\\"not_needed\\\"\\n-    assert row[\\\"fx_status\\\"] == \\\"not_needed\\\"\\n+\\n+def test_recheck_transaction_fx_status_corrects_chf_false_positive_with_audit() -> None:\\n+    conn = setup_conn()\\n+    conn.execute(\\\"\\\"\\\"\\n+        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n+        VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','true_wealth',1,'warning','now')\\n+    \\\"\\\"\\\")\\n+    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing_fx','missing','active','now')\\\")\\n+\\n+    result = recheck_transaction_fx_status(conn, source_type='true_wealth')\\n+\\n+    assert result.transaction_count == 1\\n+    assert result.chf_positions == 1\\n+    assert result.false_positive_missing_fx_alerts == 1\\n+    assert result.corrected_transactions == 1\\n+    assert result.resolved_alerts == 1\\n+    assert result.audit_events == 1\\n+    assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al-chf'\\\").fetchone()['status'] == 'resolved'\\n+    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='set_chf_fx_not_needed'\\\").fetchone()['c'] == 1\\n+\\n+\\n+def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n     assert alert[\\\"status\\\"] == \\\"resolved\\\"\\n \\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_kAdCbNyF0nmcnbbFDaFGFiZS", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|import pytest\\n     6|\\n     7|from jarvis_finance.fx.rates import get_fx_rate_to_chf, recheck_transaction_fx_status, update_fx_rates, upsert_fx_rate\\n     8|from jarvis_finance.fx.overrides import set_manual_fx_override\\n     9|from jarvis_finance.fx.providers import MockFxProvider\\n    10|from jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices, store_market_price\\n    11|from jarvis_finance.market_data.mappings import confirm_instrument_price_mapping, ensure_instrument_price_mapping_quality\\n    12|from jarvis_finance.ledger.positions import calculate_positions\\n    13|from jarvis_finance.storage.database import connect_memory\\n    14|from jarvis_finance.storage.migrations import apply_migrations\\n    15|\\n    16|\\n    17|def setup_conn():\\n    18|    conn = connect_memory()\\n    19|    apply_migrations(conn)\\n    20|    conn.execute(\\\"INSERT INTO platforms(platform_id,name,platform_type,default_currency,created_at) VALUES('p1','Broker','broker','CHF','now')\\\")\\n    21|    conn.execute(\\\"INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Account','brokerage','CHF','now')\\\")\\n    22|    conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,exchange,currency,created_at) VALUES('chf1','ETF','CHF ETF','CHETF','CH0000000001','SWX','CHF','now')\\\")\\n    23|    conn.execute(\\\"INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,exchange,currency,created_at) VALUES('usd1','ETF','USD ETF','USETF','US0000000001','NYSE','USD','now')\\\")\\n    24|    return conn\\n    25|\\n    26|\\n    27|def test_chf_fx_is_not_needed_and_missing_alert_can_be_resolved() -> None:\\n    28|    conn = setup_conn()\\n    29|    conn.execute(\\\"\\\"\\\"\\n    30|        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n    31|        VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','test',1,'warning','now')\\n    32|    \\\"\\\"\\\")\\n    33|    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing','active','now')\\\")\\n    34|\\n    35|    assert get_fx_rate_to_chf(conn, base_currency='CHF') == Decimal('1')\\n    36|    row = conn.execute(\\\"SELECT fx_rate_to_chf, fx_source, fx_status FROM transactions WHERE transaction_id='tx-chf'\\\").fetchone()\\n    37|    assert row['fx_rate_to_chf'] == '1'\\n    38|    assert row['fx_source'] == 'not_needed'\\n    39|    assert row['fx_status'] == 'not_needed'\\n    40|\\n    41|\\n    42|def test_recheck_transaction_fx_status_corrects_chf_false_positive_with_audit() -> None:\\n    43|    conn = setup_conn()\\n    44|    conn.execute(\\\"\\\"\\\"\\n    45|        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n    46|        VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','true_wealth',1,'warning','now')\\n    47|    \\\"\\\"\\\")\\n    48|    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing_fx','missing','active','now')\\\")\\n    49|\\n    50|    result = recheck_transaction_fx_status(conn, source_type='true_wealth')\\n    51|\\n    52|    assert result.transaction_count == 1\\n    53|    assert result.chf_positions == 1\\n    54|    assert result.false_positive_missing_fx_alerts == 1\\n    55|    assert result.corrected_transactions == 1\\n    56|    assert result.resolved_alerts == 1\\n    57|    assert result.audit_events == 1\\n    58|    assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al-chf'\\\").fetchone()['status'] == 'resolved'\\n    59|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='set_chf_fx_not_needed'\\\").fetchone()['c'] == 1\\n    60|\\n    61|\\n    62|def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n    63|    assert alert[\\\"status\\\"] == \\\"resolved\\\"\\n    64|\\n    65|\\n    66|def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n    67|    conn = setup_conn()\\n    68|    conn.execute(\\\"\\\"\\\"\\n    69|        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n    70|        VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','1','USD','missing','test',1,'warning','now')\\n    71|    \\\"\\\"\\\")\\n    72|    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-usd','kritisch','ledger','instrument','usd1','missing_fx','missing','active','now')\\\")\\n    73|    provider = MockFxProvider({('USD', 'CHF', '2025-12-31'): Decimal('0.9000'), ('EUR', 'CHF', '2025-12-31'): Decimal('0.9500')})\\n    74|\\n    75|    result = update_fx_rates(conn, provider=provider, currencies=['USD', 'EUR'], rate_date='2025-12-31', resolve_fixed=True)\\n    76|\\n    77|    assert result.updated_count == 2\\n    78|    assert get_fx_rate_to_chf(conn, base_currency='USD', rate_date='2025-12-31') == Decimal('0.9000')\\n    79|    assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al-usd'\\\").fetchone()[\\\"status\\\"] == \\\"resolved\\\"\\n    80|\\n    81|\\n    82|def test_manual_fx_override_requires_note_and_audit() -> None:\\n    83|    conn = setup_conn()\\n    84|    with pytest.raises(ValueError, match=\\\"note\\\"):\\n    85|        set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='')\\n    86|\\n    87|    rate_id = set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='bank statement')\\n    88|\\n    89|    assert rate_id\\n    90|    assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='manual_fx_override'\\\").fetchone()[\\\"n\\\"] == 1\\n    91|\\n    92|\\n    93|def test_instrument_price_mapping_requires_provider_symbol_and_exchange_review() -> None:\\n    94|    conn = setup_conn()\\n    95|    conn.execute(\\\"UPDATE instruments SET exchange=NULL WHERE instrument_id='usd1'\\\")\\n    96|\\n    97|    result = ensure_instrument_price_mapping_quality(conn, instrument_id='usd1')\\n    98|\\n    99|    assert result.mapping_status == 'missing_provider_symbol'\\n   100|    assert 'ticker_without_exchange' in result.quality_flags\\n   101|    assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'\\\").fetchone()[\\\"n\\\"] == 1\\n   102|    assert conn.execute(\\\"SELECT COUNT(*) AS n FROM alerts WHERE rule_id='ambiguous_instrument_mapping' AND status='active'\\\").fetchone()[\\\"n\\\"] == 1\\n   103|\\n   104|\\n   105|def test_confirm_instrument_price_mapping_writes_audit() -> None:\\n   106|    conn = setup_conn()\\n   107|\\n   108|    mapping_id = confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='confirmed from broker')\\n   109|\\n   110|    mapping = conn.execute(\\\"SELECT * FROM instrument_price_mappings WHERE mapping_id=?\\\", (mapping_id,)).fetchone()\\n   111|    assert mapping['mapping_status'] == 'mapped'\\n   112|    assert mapping['provider_symbol'] == 'USETF.N'\\n   113|    assert conn.execute(\\\"SELECT COUNT(*) AS n FROM audit_log WHERE action='confirm_instrument_price_mapping'\\\").fetchone()[\\\"n\\\"] == 1\\n   114|\\n   115|\\n   116|def test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> None:\\n   117|    conn = setup_conn()\\n   118|    confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\\n   119|    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mp1','warnung','market_data','instrument','usd1','missing_market_price','missing','active','now')\\\")\\n   120|    provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\\n   121|\\n   122|    result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n   123|\\n   124|    assert result.updated_count == 1\\n   125|    price = conn.execute(\\\"SELECT close, quality_status FROM market_prices WHERE instrument_id='usd1'\\\").fetchone()\\n   126|    assert price['close'] == '10.25'\\n   127|    assert price['quality_status'] == 'fresh'\\n   128|    assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='mp1'\\\").fetchone()[\\\"status\\\"] == \\\"resolved\\\"\\n   129|\\n   130|\\n   131|def test_missing_and_stale_market_price_alerts_are_deduped() -> None:\\n   132|    conn = setup_conn()\\n   133|    confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\\n   134|    provider = MockEquityPriceProvider({'USETF.N': None})\\n   135|\\n   136|    result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n   137|    result2 = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\\n   138|\\n   139|    assert result.warning_count == 1\\n   140|    assert result2.warning_count == 1\\n   141|\", \"total_lines\": 162, \"file_size\": 10037, \"truncated\": true, \"hint\": \"Use offset=141 to continue reading (showing 1-140 of 162 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Kxcwlwq4hueSfXCqUpWIf2nh", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Refining alert rule details**\n\nI noticed that I need to remove some duplicate lines to keep things organized. There's also an issue with line 33; it looks like rule_id is missing when it should be there, but not the missing_fx. I’m wondering if the process really should not fail in this case? I need to create an alert rule that addresses this! It’s all about making sure things are running smoothly. Let’s sort this out!", "finish_reason": "tool_calls", "reasoning_content": "**Refining alert rule details**\n\nI noticed that I need to remove some duplicate lines to keep things organized. There's also an issue with line 33; it looks like rule_id is missing when it should be there, but not the missing_fx. I’m wondering if the process really should not fail in this case? I need to create an alert rule that addresses this! It’s all about making sure things are running smoothly. Let’s sort this out!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwQoBRqIuNEinhFaYNFflyFm4ZmrEIWVYpqA2cMIfAZGz7ciR6LqJgHd8vj-3zICH7lSky-9iyNWU23lXKUlGB_madsBwUCU_F2nGptm0r_XZYDJmBTrDtGtPY6njGEhRv_Qs-mID3di0hpBCzbWt9Ffqjo5VSi-q3cI8_D7V3IRRrHhJeFhF8j0D7c-_mqrYUC3S6Us8SqkUco6qFOd23Rpkb6I-jRIlgFJyFYKZjxejuc2uybqnjCd4og9YMl43WuDyQHayPI2ActpVmzRpPU0BoinltudmoC5HBOpwd687miMidY1YQLGwS58g0wZbTHgCm8ikQGqKGJvQMETUAUwajPpSmH3yA6cX92HYG4bzI9XMKL4dN-UFIE6ztGhwymXw-2yZqGnsmNtnErCONuDPNcVrsu7qn4RKoOUnba26q33jbVRJaEQONy_j2KzB0SMOZ26f3IrfG278WqWYPiu31255N94L6W84uRM9PS1APb1Kk0dqQ5-mlpzU8l88wa0go6-Y2wbJbNzZlX5Kn3A0oiBMpGqAYAVfNp8iB-WAhRzR0RnZBbt-VVtzBTsaIsFDYP0IBLbn5AUYJfRtkK_GEbMm5fP0YwQz7F528q0J6d1TBLDpjw8-lSgloJmsM7TColyLyU-njp803rgPbk3WN6evlYGM_CqVDNWAM93PBB4qyeGIenFR2lUkq9OTkDjr6Isw86vA4BxL0Cv-4UEnpsQmleSSJ1_FpPq0ZPZhEKDIp9pCbMtFWeycUr6vpNyZhfOWPY6LrL_0wnJigjjUJrBfPNVgo8hTJlVHTK7sIiZtXZzAwZ1npnKjRsD2bTOEYh99w8pd-KVv7AEUjACH-G1J1EbDjY5aTGCQvXLTR3FPb3DnZ-15lba3ogIMJ06fdx7CguX12q-Ze83zmSsB7sR47j6vUAUcpjzPWVEZ3InEW9i_8Rd7KtQBhNnihcG4On7e__0U3qU94T1noglqMEg3JwcFxQ1CXbTl6lxwjJDAgsErF00-0BYXOuMRzhZi8qvhzBBJwx2u_mQ_4sxBrnDBGbkIOp7u1IM7jKlOp59C_2eZvh6CfASIMe10ndBOoswMhC8l8jMVSwcbbs1Nb7PhfD-E3kqC99SEOXe-sYpcrjDppX_eWIDcZTwSbv2EXRGC9CbNVFBTS53Jtdg5g==", "id": "rs_0929deea316444c7016a070425eb3c8191ac35a99f1b465c49", "summary": [{"type": "summary_text", "text": "**Refining alert rule details**\n\nI noticed that I need to remove some duplicate lines to keep things organized. There's also an issue with line 33; it looks like rule_id is missing when it should be there, but not the missing_fx. I’m wondering if the process really should not fail in this case? I need to create an alert rule that addresses this! It’s all about making sure things are running smoothly. Let’s sort this out!"}]}], "tool_calls": [{"id": "call_16X0XrIQAYhq7RZAREo1j7fB", "call_id": "call_16X0XrIQAYhq7RZAREo1j7fB", "response_item_id": "fc_0929deea316444c7016a070428c8288191bd28c385c8905c30", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"\",\"old_string\":\"def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n    assert alert[\\\"status\\\"] == \\\"resolved\\\"\\n\\n\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n@@ -57,10 +57,6 @@\\n     assert result.audit_events == 1\\n     assert conn.execute(\\\"SELECT status FROM alerts WHERE alert_id='al-chf'\\\").fetchone()['status'] == 'resolved'\\n     assert conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action='set_chf_fx_not_needed'\\\").fetchone()['c'] == 1\\n-\\n-\\n-def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n-    assert alert[\\\"status\\\"] == \\\"resolved\\\"\\n \\n \\n def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}", "tool_call_id": "call_16X0XrIQAYhq7RZAREo1j7fB", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Fixing SQL alert issues**\n\nI’m trying to fix the first alert SQL. It has the rule_id set as 'missing', a message of 'active', and the status marked as 'now'. But I believe the columns like alert_id, priority, category, entity_type, entity_id, rule_id, message, status, and created_at don’t quite align. The values don’t assert correctly, so I might need to clean this up. I could consider using missing_fx to correct it with 'missing active now'.", "finish_reason": "tool_calls", "reasoning_content": "**Fixing SQL alert issues**\n\nI’m trying to fix the first alert SQL. It has the rule_id set as 'missing', a message of 'active', and the status marked as 'now'. But I believe the columns like alert_id, priority, category, entity_type, entity_id, rule_id, message, status, and created_at don’t quite align. The values don’t assert correctly, so I might need to clean this up. I could consider using missing_fx to correct it with 'missing active now'.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwQxlO9yKJ5j4yLyFkyuuPFmA1lkWCGWlpQaO5GJ0B9cd43cJfGO-effD35nIOJ0DAaNx8uhpNoWfBvP8XCtjQin4f4aJDkJl6mBhcWEcCBonQ4kwz3nCpCBLIuU07KbDDm1AbQ_r0h2vbzjkRDmcpbNn_WPYlzi-0VXN6xcYEQo3DfV35zRIyaloQnvxUxLJNVjBB6ukfL5IBzHvSDeC5zvuWRLyLfARibMFDF50mrP-Y2d4GoXZqJr0N-KVThIqJlheePHJd-L0mh7Q-JeGeZgKI7PUaALolMgt_eq8XpvFCNjCNhr51hbSvCLuFk_EVoiiDGLBkZJkxDNOd4dipq5oJ_Jbkk_ETCs-LEAGTv8Y6sjdcJ4btL8VnqgtEJ4qFSe6-mXbL-pywIP6N3_Gn2NTlEb-VVYlQtaWbU6vVanUHAhC_FEYJLhzBNehMhyJEap42oCIRoqdxumeKo8UEB97_zl-vqX4CmkP_RTvoTZuEBIeRGLZ91zcmHqLh3HeJ-hw1JXBw1SuSQDFiNXORCeB9HVI_qBDCFkxLyEDIZpfDmcT42DYEFbtLW3nXHWBNMgVkyMknBwyahWb_IqBdSj84Y_zeX1iCogpyW0Geh9KUBn6W-dP5WhoIZlN1tH7ZzD8ALlHpNytSAVv7b9kOEc1PcLnUhRkovWOwZA72T9yezGwSczv21B0s60U6UaO6mJ-6shc8AGPppvsKmoRJ7faF-aZ_IfVECcPWMxdcCb-kSkTlJt7pITBVGznQhz9468RG_BYfcv0m566jSjnsfleBdOkzz73Zzh4jpYxBVoVbwDqMIqX-_PSluLjPtqa0JpgyOeeMevDLyU7py7ltYvzJUuyCKh6nDqVmX1Mlbhh3LnGztwc0Rqad1AZCnDDifhns4I8qV8p8cNzmecdAsDoSCaIg1DGoqrJHIbKhDZWB8nvv9RpN4yOB3LRgaOx9vrX22Wwd3-QxyqikveN5cGTBHryYluX4zfGWbUIxYKCXAmkjRLsdCIJujQELUHz-WXAvE-QZ_n4HrTepXZnAIvdYhuIY09ipjG4i5XiCdZdKfHtQXAf7dixsJDw52ivVbJ06waQrrO3ieqhgIdg7BWCrpuxMIjBFp4fN9-ACQE_tivhtyBvffd4hS7z2wwA-DGMvkCong9h3_KgKA9k34prLqAQryInPIX73c0pKnQubGgFntA9oBqth1fbR2aOffXS6_oxJcsM86ckTWpDNu3Z6ymTOaEQAC_fROq5Nvdg3G4Hen3zxQusIQaZBAdwp9k8mM5lu62xbimzuWTk32fXq7NsVfUXz-z8EWs9o_JdN4CKD-7dMew7cL6AlPbD7_WwFgQAhm7qVW-l6vnnjr3YgC1CfuAax8dqmPnK2_rJQiR3cSnREBtUPDGlDVRigEwO3kjwBamPLQDpDHadClRGA==", "id": "rs_0605c55a83fb3dba016a07042e4ff081918c3029110ccc3906", "summary": [{"type": "summary_text", "text": "**Fixing SQL alert issues**\n\nI’m trying to fix the first alert SQL. It has the rule_id set as 'missing', a message of 'active', and the status marked as 'now'. But I believe the columns like alert_id, priority, category, entity_type, entity_id, rule_id, message, status, and created_at don’t quite align. The values don’t assert correctly, so I might need to clean this up. I could consider using missing_fx to correct it with 'missing active now'."}]}], "tool_calls": [{"id": "call_j2GiN3ReGsKvLqcw0PODBFRv", "call_id": "call_j2GiN3ReGsKvLqcw0PODBFRv", "response_item_id": "fc_0605c55a83fb3dba016a070431c0a881919978dda043e29096", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing_fx','missing','active','now')\\\")\",\"old_string\":\"    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing','active','now')\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\\n@@ -30,7 +30,7 @@\\n         INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\\n         VALUES('tx-chf','initial_position_snapshot','a1','chf1','2025-12-31','1','CHF','missing','test',1,'warning','now')\\n     \\\"\\\"\\\")\\n-    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing','active','now')\\\")\\n+    conn.execute(\\\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-chf','kritisch','ledger','instrument','chf1','missing_fx','missing','active','now')\\\")\\n \\n     assert get_fx_rate_to_chf(conn, base_currency='CHF') == Decimal('1')\\n     row = conn.execute(\\\"SELECT fx_rate_to_chf, fx_source, fx_status FROM transactions WHERE transaction_id='tx-chf'\\\").fetchone()\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_j2GiN3ReGsKvLqcw0PODBFRv", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Addressing data quality issues**\n\nI need to add rows to the DQ (data quality) center and make sure to patch the function that retrieves data quality. This sounds straightforward, but I want to ensure I'm not overlooking any details. It's important to make sure everything gets implemented correctly. I should probably double-check the data quality standards we’re aiming for! Alright, let’s tackle this step by step to make sure it all goes smoothly.", "finish_reason": "tool_calls", "reasoning_content": "**Addressing data quality issues**\n\nI need to add rows to the DQ (data quality) center and make sure to patch the function that retrieves data quality. This sounds straightforward, but I want to ensure I'm not overlooking any details. It's important to make sure everything gets implemented correctly. I should probably double-check the data quality standards we’re aiming for! Alright, let’s tackle this step by step to make sure it all goes smoothly.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwQ3pMmegeQaaQqqYbdZYYb_cpPTuxYK896Nyp5YT-1uhz9pJY232wCwRw7fVuiuGNEwkYj7peT-IsFco-Ia493SBwgdtHtnx8nOtmlhYvxsTBF9v4gntYniYDK3GZV4GE4H-8HTf4FHNz41wjDJd3gGlbqZ4ih0bfjBxFddZpdkr6hYsHRhqaNRS629ZXMvzm6oKrpossniRFhRLW7La509M3xXPrXioXxy9L3umnueMZ4jo_S8bRuBA6jMkUOg_7nNB1-PzoYyCvsci06RxGpK71wM_xXJ7AjVZCttsoC_T6Zwmny0JJb015tBikB82tQejzD3UauW9Ur7NxpuYG75NWHXtHN_xKzirtgP9PB-HkAJ5sxWM3vzfgbAdrfxTrEDY4SHUYFgxmKSuby2qJ3so7t_CAa9bCBProV8Xnq68kNqfRvfVhV4kO-gQQrnag8fS4yNgD6gfjlWjG8PS1-WObSZTgLFaFiHO4pjISq6ypJvjQVuf870Vx6ygSxh3qNrYQV_Q6DgoJPxTObvf3VbzrTAZYOHGz87Eainvdrdt50eKxvUu7wYUUGR5kAk5kKKeqXtuQ1k8kCze_FAx36RQ1JQDxNZ6YyUraRYlaXJeCnu68nLfBtRrY96RkH85eAUU87yN3YQjiyG8HRTww_wOJgdYTi5DLa6ZxCzYXVYZfoCYGCvrnIRtI29WZDNUsUe_k6kivjBKspKatHciKTfvhBAVKmekwNczBEYghsb2C14PMF1AxvzsegEgmsd6IqnlsejuHvHOpPiWn1KC1UK5X3RDiv1h7Xnv8XD-B8UVz5r2oGTrpNHGJNPD3-9taxCdn0IKfsnNx0FnjDmuBm297gNYBvwpcs0E3p8FtwQOc_IJ_Fc9Dnj70ecYRkzq2GeDXlQb4DB2NYzPhSj4kfwyJ_Hpqb7zAPLgnExryVJ8dQaZfTvzdzJVeoUEIw09jq78tfYxZfUk09Q-QrgPkg21g==", "id": "rs_0fb0459932d8ab17016a070435ebe481918cb120827daf32e9", "summary": [{"type": "summary_text", "text": "**Addressing data quality issues**\n\nI need to add rows to the DQ (data quality) center and make sure to patch the function that retrieves data quality. This sounds straightforward, but I want to ensure I'm not overlooking any details. It's important to make sure everything gets implemented correctly. I should probably double-check the data quality standards we’re aiming for! Alright, let’s tackle this step by step to make sure it all goes smoothly."}]}], "tool_calls": [{"id": "call_ILC8kT4oqMUUf0AjWDQfJByz", "call_id": "call_ILC8kT4oqMUUf0AjWDQfJByz", "response_item_id": "fc_0fb0459932d8ab17016a07043804bc8191ae325182cf8a996a", "type": "function", "function": {"name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"        (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n        (\\\"fehlende/stale FX Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')\\\", \\\"kritisch\\\"),\\n        (\\\"fehlende Provider-Symbole\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n        (\\\"fehlende Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'\\\", \\\"warnung\\\"),\\n        (\\\"stale Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'\\\", \\\"warnung\\\"),\\n        (\\\"ambiguous Instrument Mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'\\\", \\\"warnung\\\"),\\n        (\\\"price currency mismatch\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'\\\", \\\"warnung\\\"),\\n        (\\\"snapshot_only Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'\\\", \\\"info\\\"),\\n        (\\\"cost_basis_uncertain Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'\\\", \\\"warnung\\\"),\",\"old_string\":\"        (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\\n@@ -270,6 +270,14 @@\\n     items: list[dict[str, str]] = []\\n     checks = [\\n         (\\\"fehlende FX\\\", \\\"SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'\\\", \\\"kritisch\\\"),\\n+        (\\\"fehlende/stale FX Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')\\\", \\\"kritisch\\\"),\\n+        (\\\"fehlende Provider-Symbole\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'\\\", \\\"warnung\\\"),\\n+        (\\\"fehlende Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'\\\", \\\"warnung\\\"),\\n+        (\\\"stale Market Prices\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'\\\", \\\"warnung\\\"),\\n+        (\\\"ambiguous Instrument Mapping\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'\\\", \\\"warnung\\\"),\\n+        (\\\"price currency mismatch\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'\\\", \\\"warnung\\\"),\\n+        (\\\"snapshot_only Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'\\\", \\\"info\\\"),\\n+        (\\\"cost_basis_uncertain Alerts\\\", \\\"SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'\\\", \\\"warnung\\\"),\\n         (\\\"fehlende CoinGecko-ID\\\", \\\"SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' \\\", \\\"warnung\\\"),\\n         (\\\"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         (\\\"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\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ILC8kT4oqMUUf0AjWDQfJByz", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\\n@@ -22,6 +22,8 @@\\n     st.subheader(\\\"Sichere Aktionen\\\")\\n     st.button(\\\"Data Quality Recheck\\\", disabled=True)\\n     st.button(\\\"Resolve Fixed Alerts\\\", disabled=True)\\n+    st.button(\\\"Instrument Price Mapping öffnen\\\", disabled=True)\\n+    st.button(\\\"Manual Review Queue öffnen\\\", 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+    st.info(\\\"Links zur Review Queue und zum Instrument Price Mapping sind vorbereitet; produktive Commit-Aktionen bleiben deaktiviert.\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_WiafMVFIufqWCgHsmZFRoq29", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "terminal", "content": "{\"output\": \"........................................................................ [ 42%]\\n........................................................................ [ 85%]\\n................F........                                                [100%]\\n=================================== FAILURES ===================================\\n_________________________ test_schema_version_recorded _________________________\\n\\n    def test_schema_version_recorded() -> None:\\n        conn = connect_memory()\\n        apply_migrations(conn)\\n>       assert get_schema_version(conn) == 8\\nE       assert 9 == 8\\nE        +  where 9 = get_schema_version(<sqlite3.Connection object at 0x752a4030e3e0>)\\n\\ntests/unit/test_schema.py:18: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_schema.py::test_schema_version_recorded - assert 9 == 8\\n1 failed, 168 passed in 8.41s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_HabQ3wZR1G80ljiHgS2FZO4X", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "terminal", "content": "{\"output\": \"........................................................................ [ 42%]\\n........................................................................ [ 85%]\\n.........................                                                [100%]\\n169 passed in 8.09s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3Nzh12aVe93QnQQamLBS6AYa", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Planning for production runtime**\n\nI need to get the production runtime for C0/C7 set up, but I should probably run the compile first. After that, I need to carefully apply migrations to the runtime, especially regarding any unique index duplicates. A backup sounds wise too. The user asked about C8 compile pytest git safety status, so I’ll need to commit and push before running the product after implementation. I’m considering checking settings for the database path, and I might need to investigate the source types more closely.", "finish_reason": "tool_calls", "reasoning_content": "**Planning for production runtime**\n\nI need to get the production runtime for C0/C7 set up, but I should probably run the compile first. After that, I need to carefully apply migrations to the runtime, especially regarding any unique index duplicates. A backup sounds wise too. The user asked about C8 compile pytest git safety status, so I’ll need to commit and push before running the product after implementation. I’m considering checking settings for the database path, and I might need to investigate the source types more closely.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwR3dcNzil8hrNJB6U7df9v5oPI6NdjrPtkXTdwpnb1Ys26X3y8Myc5obGqaK7_VPwARmXcxbmJR_CQwPypNi3KV3poM-6dVwiNgBgYj1IrRlGU2KsuhKguLPyFhJjBlYy1yaM9-v_ehEhHZFE6jptI1xxzyArzpVojOdgJaicNx8OxwS4l7PLxt2JvcJGfKXO7H88TXz0uB9FgDufhbDbBD2UY8fUjVgsvR6sQhpMJpmuaJOMSlzcz2JM8t5_0PQvDMYPZIZPBlFAaY3EiWgwGcPvMDc42gzzn58-elto1b9y4wdm_eCOc71N9rLbnVdm2bdtlxNutu7hvzYEEpZS54Qlw-AZjX3peR9d8s16tNiLbR8fKI-EKIU3sDhE2pH9eqDZ41PACaPqrdeBg7KGjBgZXeXPHC1UGeoVW5dp3Snd57DUkxOkx2riqF_3ofyjSqP7dS7NBnYxqnqFva-v0yNTxVnXFNpjiGVVPSeUG4q6sR1bvSg5ydw6kZsjIF3rdz9Z2X7glA6XDexwa3eObn6Eu5nX0AtJOoMtS7fPugSeDlV2FlXGdk64myGzWvnfNEed65YJVggGgPnXwaCLzO-AhPIG8Zewj8shschboCEpSTVGolLyX-S6r90XUP3fX8kWZOXNFnDOXRh_uekIF-PmTC8d0hzlfm2XeD93yOHtNSq3hvCOGdH1-VuRPsR_W84FpnQA8yLXFC2KLgvoNVIv90qVMbbubOIBvm2t3jsoX6q6z36r4qnG2OnEr7NGFhAUCPFd4UfoEcTHf7azzlTyw8l2WhVcTVMz1fMUxaZlNtB98DHXoa2o1pWrOPM4ETPpc0a6c_CdWH7e0By42neC2xG37vDh5D31cT5EgE0Q99qAze6hV676l-pcDSSx8D0PYLcRSYPR15XwBnYtDj6mKGwLY6xQoIYhVtOr6Orud__Z1Ae-NpmNMJSxqNcQTk1qWYFjFysvjXRo-W0Neu9ARbfKx9npWm9JCnXyGEtpjsgl8k6Flp0SEybN5rqPwb8AyIHNYtDYj72_09GYkCs0kXQ8a4aFIvCgkYMwdCqE4TL1ANQ9Z0HIoo28jHY8m5G539CUtFVP3Tg_bmc13xSDsyAskE57FzvdHXgaUVdaodxLXlQYfqYIXZv6ZmWvl7GSzeOpYKtEqFJxqKYtzVbddNcPtM1ur_vPU4wHgNIcTSYHAeI9LhbrQ15xs7272qwlTQV7lHhlh1nRtfUs9D6m4piLjEIR9MJTf40cnRStGLHIHXkppjYstqQFKvQ3Mr1Er_YicIqwg9qFCQrsAurrlA-SDcEcSeRPYcR-9lx0XEAnGmfJYGOZqUUC91NZWKUI5C-yhxze4g9vcAe3iS-PhpHpKqN2-1MxHVm7iqfli3wnZLdPeiQRHgvBc2EdJsW_SGB4mkPgOnG_skmIjFHLjSN65ORAMtjM1W6pKeh0fjwNE7qAjDg7CYyjsPDKnZfer-CVWMJZUdogT6HAuohhOJO-2Yv6BbYz-GQRshkEr1a_jN71Re6j3J3zqENnjtHcVPv2NxSblFnB423IhOgTgH_ZFDQx4_Q-Jbt4Onw42tn4ANbXqy4UG9pIRvye2MAx5w9FrHl6IDa3Q6XqJi1GD5qUhKxVN1bs4akpdScvDKbfhkju3rlhotcBA1JU3HI_f1sKN0PiGkU2zSeFQ3wi9nuKW-Kn5DY-bYuZ_EvX7O5uHLmy7IlTL1T1maeSkR1mC2e_oeCbaYThQkgpKqEwR2LmZH4qOnw2tEepVV5g4GmEQLKaGYzcOvELaQwN_bB7yJ_Uo9S1HN5CJZg2qPwQ==", "id": "rs_0b2277f6441e28a2016a07047307688191b6e9da9f618d672b", "summary": [{"type": "summary_text", "text": "**Planning for production runtime**\n\nI need to get the production runtime for C0/C7 set up, but I should probably run the compile first. After that, I need to carefully apply migrations to the runtime, especially regarding any unique index duplicates. A backup sounds wise too. The user asked about C8 compile pytest git safety status, so I’ll need to commit and push before running the product after implementation. I’m considering checking settings for the database path, and I might need to investigate the source types more closely."}]}], "tool_calls": [{"id": "call_YRfWVOYr4ZT66kFauhaSk71h", "call_id": "call_YRfWVOYr4ZT66kFauhaSk71h", "response_item_id": "fc_0b2277f6441e28a2016a07047708188191a8736fbe6534db7a", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\ns=load_settings(); conn=connect(s.db_path); apply_migrations(conn)\\nfor r in conn.execute(\\\"SELECT COALESCE(source_type,'') AS source_type, COUNT(*) AS c FROM transactions WHERE transaction_type='initial_position_snapshot' AND COALESCE(is_voided,0)=0 GROUP BY COALESCE(source_type,'') ORDER BY c DESC\\\").fetchall():\\n print(f\\\"source_type={r['source_type']} count={r['c']}\\\")\\nconn.close()\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwSC1b_7ACu3slNeueByto7ktclJfjPBih3ZdVehQbl_fmoQh4Eon7lGINQk_j0yhSUPMZEEUamCnFry6uPjckDXFC9ZZKgYDTQr83ekl7EoDd14-PAJWtULC2oxX9ZCaBhp-02xQGdccon30U-x-klnzN77wQjzFVv7g3Kg0LaWN6IQB8rDvzZ-VHkARaFve6fkCChTRcgFwCLOg63h6CIMnCROVVQfBHLBJJWq-fJHr2wZJaCXLios-8RDUDP_g1sSE9FI3nzfgC8WKRSWrpPooZ51YoyX_jED9QJrfBwbU8IcoGDc5rVftny7YFeXaLAYXV-TMci_W_gGGF2-v_JpufH4b7mxRjQ_hSMtrhgYnk2tQJW3lPZ0draP1LfG4xttPl3djGIDjs9eRLl1afg8vOYwv65nKOUl9DBAEBd5MaKalnA9eXyIuE3548D3x3iFhyv36Flb3LbIF3fr1kdTyMRUy7qJMcmtcXHPop1LJxgKVTx29r_CqK4L1f58F35dZpnS5qLyKaSG0mIGkTGmHnBIFnWzw-4HWbmW4po4NdoY9iiTxUU45POK_u3L8eHmkGyBpnQ_vtwmAmSGxlwYpEn-9KHbTpieCGv5ny9K3jGRJ3zit4EXb-4C9e4_UvENWeY4avaZAxy11wX_GtwDi4EWCXW2WL16Ex9PH0g7ZCYO1JTfY0f5AIEthlWwr0ESBTIiRUwKO3HuOyq0_So4QxE9-govaenaA5JPdCuOLcSSl7kdnYrhh1HiUws1mkzi6MrmKrik5g7Ngz_GvClRjhelVkdBcxwC69RntR2UqUorqhBSzkmY_qnNIeXjg6SjU2ZqzjGLQQClFnCXkgWyIZRJi6kgXOic7UieCYNpgSOokoZiKC2caM2OBPNuzMwGGlyfOqhCM7qz_O0pUEDpsg9egT0qcAmEnL1Xo7WWS1ouEzVnpQ8HkIftQr7ebjnxAdfnTfjmNqaqwMn60UPWFrl3xo2w2oCSywGzkzaplu8=", "id": "rs_052af55c7008cf4c016a070481a780819181a917972e521a99", "summary": []}], "tool_calls": [{"id": "call_d214K7RYKJJn2j5rkGLarj5Q", "call_id": "call_d214K7RYKJJn2j5rkGLarj5Q", "response_item_id": "fc_052af55c7008cf4c016a0704825e3c819181d10820d2117b69", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"PYTHONPATH=src python -m jarvis_finance.cli.main update-fx-rates --recheck-transactions --source-type broker_import_reviewed_snapshot\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"FX_RECHECK transactions=3 chf_positions=0 foreign_currency_positions=3 justified_missing_fx_alerts=3 false_positive_missing_fx_alerts=0 corrected_transactions=0 resolved_alerts=0 audit_events=0 dry_run=false\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_d214K7RYKJJn2j5rkGLarj5Q", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwSM9sLYQHklpRi46TejeJkNZiQBPdcrLTEkwM8hwLSpy84TeasjcUJylldK-jiKamTsh7mC7Rd6jFiQAghnuAfGBSGo4KLmE9XVG7REe4sPx1hnUUYm0fRJHI2xvgoTgJeElm_wV7KxvB3aRNWkJ-3qpvWW8KqKFR3UI9GXZ59-2bEi4GktsVfdC6-S-4eBkK_7n5eSNRMli7Vo7TaU3lz8Y4HFs2vrlUeDfE8v7cFwI1P5lfUMxonTAZQJYruX7-uNWfTi5yG3qVevr3B9yH5bctEcQLaaS4oXVnuwj1aTgOComt1wqUdi76BbYinH6JLGvVe7YvGU1l9pItX7wbKOuonMc-UYfL4sBaNufnhlbaxGwoRJp7_CwciUXllH_t521vhu85WDH-wYZD71fQXcF3ozQMRTEdM440i9aisAJCp4EV0eHH5K6WzfsdIsuyYDmV7Q7r-YBx44QXUjlM2wPqbsMZykx8OW3M6lGg_OBdFoSbqwUJNaxlQH5LlWhZH9CNMtUZgw03jsFQGC23wEQAbBqPYFZxVQ__5jcRwmXlFyxPuEI6zdFE8fjXifHqGuv82mmw6vNr_y9ZpNxgsTnRYfCXher6tX5FGlsM8sBYmC4Upmj_ffJMZmCJSWpeGVwCRx8f5o4t10mZQiIoqQO_ie08StnX5QBxhz9XVsT1i3yLsMo3j_fWFxNQbe9rW0vNfxJEp3XuHd_HQE-guzYVUjl1BVtHYo7G5yE1OX40LqwWNHAeN2TG2fM5VCVtIPL0owihT13y6aac57E82HvsqsfPMLQ7MbKwXNKq2piy9ZWt9RtA4yCVy-p9wIz7pc9DFJhgbkd7gbDN1g_xTdChXlOuGhHMxn-xOcC5BvXZ_S6IyFXsbQkI4cViReSODF6mAKVIopjyHjbi43VI9MsIetLKJ5GKSxQqHEpt_uwBd-9QS5eei3G51UQ-ZLl4CWaQYGW07ppPO1kSofGCqdwia9BvX2mlnGRMU3b_T2gJu47xusyTA3sxmA1SKxqks1Rbyw_Gnj0opNUsCjS6CMDnvzW0NYY-8tR-Ly-XNeTWsD_GCOlzcVZUW9syXsV6CeI5yroR564BnX71V2WvdhD-srw-AzH2f1g56RuZklIidMNCzrgNWKsZMCDci96uYOIe7iMbtJ2vz6YpS4Zf6X_cnSC_BNIiXbzWfAyT_Fj3DNfogTEuaxc3mDJ6YS8odSkKYZFPoqkPJ5KnzVSYzZBJ3fhKAC-e-wM7MQZ1yiu3wIEbIu-sUjJ7j1KbgMGlRJ5LxGB2Aca66znFu6rt8aW5EwFzzJhH1q90wddQPDv7qqgIatXnWl5SM4iduw6UDYuIVVSlZ7Gb1n8H1M5ha1Sw4fAHJ8NVopXPWWQf9-VdJNayPo3bV2Mz5sivC0oB5FaeBAp9uJyhj2h5ayZwqrD--3zjJ0Ydkd-tOH_r2xvulb02f4_EbLMwBEDJTU2GbNRcQCN1s1z8r3MRfpNMGAsLAy1CaF7mkkPoSo-l0nGwxCQW8CbTBhrGaLrPCjCWsEJV2-CZlHPebU7EXu07Mm6kLrB7MZpvsOwRW-iN2HKlXRPfoCLXTGDShGSipJAIM-67nHmwGmQdSswkDuKwlXv13gSvJUGJjd5nOO5AJRLkPtr-FFUlUvxA8KOpZpAjZYUg_dAokCRqB3x9y14ASTQAWhMWCylgWhL6ZhdLadN7LqDiqgrb2weFyzlBud7t0iVe3yXiTAfzJyccZgP0BunVUoKUpCpd6uh2BghzwoE6LAUvlYvh7HnvG06PGjkxZPW1wRowf1QslpZnbAAzPSng==", "id": "rs_04ca120c2510d9c7016a07048787608191874b7dda5d01fb81", "summary": []}], "tool_calls": [{"id": "call_dqdfUOBjmuhTU8LApBRTUpYg", "call_id": "call_dqdfUOBjmuhTU8LApBRTUpYg", "response_item_id": "fc_04ca120c2510d9c7016a07048d37bc8191bea5da51b572f17b", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.market_data.mappings import ensure_instrument_price_mapping_quality\\ns=load_settings(); conn=connect(s.db_path); apply_migrations(conn)\\nids=[r['instrument_id'] for r in conn.execute(\\\"SELECT DISTINCT instrument_id FROM transactions WHERE transaction_type='initial_position_snapshot' AND source_type='broker_import_reviewed_snapshot' AND COALESCE(is_voided,0)=0 AND instrument_id IS NOT NULL\\\").fetchall()]\\nfor instrument_id in ids:\\n    ensure_instrument_price_mapping_quality(conn, instrument_id=instrument_id)\\nprint(f\\\"MAPPING_RECHECK instruments={len(ids)}\\\")\\nconn.close()\\nPY\\nPYTHONPATH=src python -m jarvis_finance.cli.main update-market-prices --asset-class etf --limit 3 --dry-run\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"MAPPING_RECHECK instruments=3\\nMARKET_PRICE_UPDATE asset_class=etf total_mappings=0 updated=0 cached=0 skipped=0 stale=0 warnings=0 errors=0 dry_run=true\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_dqdfUOBjmuhTU8LApBRTUpYg", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Gathering valuation status**\n\nI'm looking into the C4 valuation status aggregate and assessing that I need to use a script without specific values. My focus is on counting items and examining active alerts categorized by rule. I'm also considering if the position calculations might generate a missing market price. It looks like there's a function calling _add_warning that creates alerts for any missing market price—so I need to check positions for clarity there.", "finish_reason": "tool_calls", "reasoning_content": "**Gathering valuation status**\n\nI'm looking into the C4 valuation status aggregate and assessing that I need to use a script without specific values. My focus is on counting items and examining active alerts categorized by rule. I'm also considering if the position calculations might generate a missing market price. It looks like there's a function calling _add_warning that creates alerts for any missing market price—so I need to check positions for clarity there.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwSULfdb589q9A-HaOFEsYpEruRO1bC7rPbAjCSmAmwM9s_o4p661d2v62uaaZbX2dlp1UkBwHGhDDc6w7UeOah2NMbV-OtmymfI5Oho-lHoczwUZwI5ufk45RZGkOdEVotSoOdWomaq5CuJbAjoFYGnfZ0t-Fmj3Xrb1TrKtw4aU720qmnH9TQRsk9Im9Gi5ZrSI6uAKOVa6RadlpA4F6gURKWR1N5hgHVZ_J4MfF59jt-V9UP4vD7P4I17YwKJAZ1i03MzqCgsbXVl5O19BBdWid6iTSPSY1rum0W2COPitcUiv3_vBauTAsGNhSRcZkcpx__J3-TMcI90yLXh1r0hdVPDdP3KpmrdciNXrPG-15DZsjZLP0rFtQTbGLmiW-7TMgtqkSc75sUsiFzKtZnPsjeDIXHHeFM3hoIf9BJzEW1zIl1KWuHppyNJZhsJW1A_P0HGIALEfZ1QR6VDcofG8E_DjMRZXKC_hlqt6LEBdRhTjiaoqLRStfwxzFpBiE4As5aMlz9gxuLHvzC8wIY6N3PHo9qkx05DdCvb94c_0g-1Hx4o6kO5jlund6WXyNXtVxbILih4JigyJbbAOrsNh4uvkC3UGUmJ7NHteFFnZOef5gPNOWxTGW46t2KJU1v_e0AUvzaZJ96QyzFscEMYR8lXnuPte6qcEdGUy8EYKTJN9VetFv86gtwvN1wzxRYVQ2jSWpSELu-64ZEq7gTX01YkbUcxiaSvw2G-4knQizhd4ax3d1R1_yN1VAWA8Btsa0FDaeVaHIDFLpkyJMzuZ7dF74tHUoJM46ArHal-6mn5enRD7CXPyPbq1IfMRbDeVVQGBT7mSPbQ8oyG30limyfnzoijDYbSljNo4LO4fUe9CjeWyKNxUXpXntqLW7PYy76GJbhygQO0HQjoJciocJpeMkFbha-awkuqyyjkBUsHmQsbNNtHEJzdThuW9-ICIBDs8j6S7_QdG-T004KNvLRRyTNUUk04rz87yt0EQap-KAdgd_ZuTbfws2Qv3jMDfz6Rob5sEdgR3XDnfTs2ByYo8v8EkuRAPgC4vRjSmTMKuSeXfmol5m-HlKMsDg_6740SsGhEHfVhyxEkTz72AoH_in1wMpsWe1N42q4afpsVQDhONCo2_YND15vwiDPpSOX3CQ2GwG1oY7PDpb237wztdqOayQ0QgpHj4Too3F1wEuDVZdAIFwD0IlpKpvgUJN4ByhlNs5dAo058-HlumjdofvHGYg0UKnxFjtTWBw0=", "id": "rs_056e3961f394d56d016a0704923f9081919c96e4718216dff9", "summary": [{"type": "summary_text", "text": "**Gathering valuation status**\n\nI'm looking into the C4 valuation status aggregate and assessing that I need to use a script without specific values. My focus is on counting items and examining active alerts categorized by rule. I'm also considering if the position calculations might generate a missing market price. It looks like there's a function calling _add_warning that creates alerts for any missing market price—so I need to check positions for clarity there."}]}], "tool_calls": [{"id": "call_WjCLDkvh7d1yOy4y58m6kRmr", "call_id": "call_WjCLDkvh7d1yOy4y58m6kRmr", "response_item_id": "fc_056e3961f394d56d016a070494c1f881918edae141f1ccb094", "type": "function", "function": {"name": "search_files", "arguments": "{\"context\":2,\"limit\":50,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\",\"pattern\":\"missing_market_price|create_alert|_add_warning\",\"target\":\"content\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_WjCLDkvh7d1yOy4y58m6kRmr", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_rDSWubEiRR7Sw7YX3LP7ZzoK", "call_id": "call_rDSWubEiRR7Sw7YX3LP7ZzoK", "response_item_id": "fc_0d86acf73abb76a8016a070498330c8191bce3af8e4ad24397", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from dataclasses import dataclass, field\\n     4|from decimal import Decimal, ROUND_HALF_UP\\n     5|from sqlite3 import Connection\\n     6|\\n     7|from jarvis_finance.audit.log import record_audit_event\\n     8|from jarvis_finance.imports.common import stable_id, utc_now\\n     9|from jarvis_finance.quality.alerts import create_alert\\n    10|from jarvis_finance.fx.rates import latest_fx_rate\\n    11|\\n    12|from .cost_basis import WeightedAverageLot\\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|    return Decimal(str(value))\\n    21|\\n    22|\\n    23|def _money(value: Decimal | None) -> Decimal | None:\\n    24|    if value is None:\\n    25|        return None\\n    26|    return value.quantize(MONEY, rounding=ROUND_HALF_UP)\\n    27|\\n    28|\\n    29|@dataclass\\n    30|class Position:\\n    31|    account_id: str\\n    32|    instrument_id: str\\n    33|    quantity: Decimal = Decimal(\\\"0\\\")\\n    34|    cost_basis_original: Decimal = Decimal(\\\"0\\\")\\n    35|    cost_basis_chf: Decimal = Decimal(\\\"0\\\")\\n    36|    average_cost_original: Decimal | None = None\\n    37|    average_cost_chf: Decimal | None = None\\n    38|    realized_pnl_chf: Decimal = Decimal(\\\"0\\\")\\n    39|    income_chf: Decimal = Decimal(\\\"0\\\")\\n    40|    fees_chf: Decimal = Decimal(\\\"0\\\")\\n    41|    taxes_chf: Decimal = Decimal(\\\"0\\\")\\n    42|    market_price_original: Decimal | None = None\\n    43|    market_value_original: Decimal | None = None\\n    44|    market_value_chf: Decimal | None = None\\n    45|    unrealized_pnl_chf: Decimal | None = None\\n    46|    total_return_chf: Decimal | None = None\\n    47|    data_quality_status: str = \\\"ok\\\"\\n    48|    quality_warnings: list[str] = field(default_factory=list)\\n    49|\\n    50|\\n    51|@dataclass\\n    52|class PositionCalculationResult:\\n    53|    positions: dict[tuple[str, str], Position] = field(default_factory=dict)\\n    54|    as_of_date: str | None = None\\n    55|\\n    56|\\n    57|def _latest_market_price(conn: Connection, instrument_id: str, as_of_date: str | None):\\n    58|    if as_of_date:\\n    59|        return conn.execute(\\n    60|            \\\"\\\"\\\"\\n    61|            SELECT close, currency FROM market_prices\\n    62|            WHERE instrument_id=? AND price_date <= ? AND quality_status IN ('fresh','ok')\\n    63|            ORDER BY price_date DESC, created_at DESC LIMIT 1\\n    64|            \\\"\\\"\\\",\\n    65|            (instrument_id, as_of_date),\\n    66|        ).fetchone()\\n    67|    return conn.execute(\\n    68|        \\\"\\\"\\\"\\n    69|        SELECT close, currency FROM market_prices\\n    70|        WHERE instrument_id=? AND quality_status IN ('fresh','ok')\\n    71|        ORDER BY price_date DESC, created_at DESC LIMIT 1\\n    72|        \\\"\\\"\\\",\\n    73|        (instrument_id,),\\n    74|    ).fetchone()\\n    75|\\n    76|\\n    77|def _add_warning(conn: Connection, pos: Position, rule_id: str, message: str) -> None:\\n    78|    if rule_id not in pos.quality_warnings:\\n    79|        pos.quality_warnings.append(rule_id)\\n    80|    pos.data_quality_status = \\\"incomplete\\\"\\n    81|    create_alert(\\n    82|        conn,\\n    83|        priority=\\\"kritisch\\\" if rule_id == \\\"missing_fx\\\" else \\\"warnung\\\",\\n    84|        category=\\\"ledger\\\",\\n    85|        entity_type=\\\"instrument\\\",\\n    86|        entity_id=pos.instrument_id,\\n    87|        rule_id=rule_id,\\n    88|        message=message,\\n    89|        evidence={\\\"account_id\\\": pos.account_id, \\\"instrument_id\\\": pos.instrument_id},\\n    90|    )\\n    91|\\n    92|\\n    93|def calculate_positions(conn: Connection, *, as_of_date: str | None = None) -> PositionCalculationResult:\\n    94|    result = PositionCalculationResult(as_of_date=as_of_date)\\n    95|    lots: dict[tuple[str, str], WeightedAverageLot] = {}\\n    96|    params: tuple[object, ...] = ()\\n    97|    where = \\\"WHERE instrument_id IS NOT NULL AND COALESCE(is_voided, 0) = 0\\\"\\n    98|    if as_of_date:\\n    99|        where += \\\" AND trade_date <= ?\\\"\\n   100|        params = (as_of_date,)\\n   101|    rows = conn.execute(\\n   102|        f\\\"\\\"\\\"\\n   103|        SELECT * FROM transactions\\n   104|        {where}\\n   105|        ORDER BY account_id, instrument_id, trade_date, created_at, transaction_id\\n   106|        \\\"\\\"\\\",\\n   107|        params,\\n   108|    ).fetchall()\\n   109|    for row in rows:\\n   110|        key = (row[\\\"account_id\\\"], row[\\\"instrument_id\\\"])\\n   111|        pos = result.positions.setdefault(key, Position(row[\\\"account_id\\\"], row[\\\"instrument_id\\\"]))\\n   112|        lot = lots.setdefault(key, WeightedAverageLot())\\n   113|        t = row[\\\"transaction_type\\\"]\\n   114|        qty = _d(row[\\\"quantity\\\"])\\n   115|        gross = _d(row[\\\"gross_amount_original\\\"])\\n   116|        fee = _d(row[\\\"fee_original\\\"])\\n   117|        tax = _d(row[\\\"tax_original\\\"])\\n   118|        fx = _d(row[\\\"fx_rate_to_chf\\\"], \\\"1\\\") if row[\\\"fx_rate_to_chf\\\"] is not None else None\\n   119|        if fx is None or row[\\\"fx_status\\\"] == \\\"missing\\\":\\n   120|            _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Historic FX is missing; precise CHF total return cannot be calculated.\\\")\\n   121|        if t in {\\\"initial_position_snapshot\\\", \\\"buy\\\"}:\\n   122|            if qty > 0:\\n   123|                cost_original = gross + fee\\n   124|                cost_chf = (gross + fee) * fx if fx is not None else Decimal(\\\"0\\\")\\n   125|                lot.buy(qty, cost_original, cost_chf)\\n   126|                pos.fees_chf += fee * fx if fx is not None else Decimal(\\\"0\\\")\\n   127|                pos.taxes_chf += tax * fx if fx is not None else Decimal(\\\"0\\\")\\n   128|        elif t in {\\\"partial_sell\\\", \\\"full_sell\\\"}:\\n   129|            if qty > 0:\\n   130|                proceeds_chf = (gross - fee - tax) * fx if fx is not None else Decimal(\\\"0\\\")\\n   131|                lot.sell(qty, proceeds_chf)\\n   132|                pos.fees_chf += fee * fx if fx is not None else Decimal(\\\"0\\\")\\n   133|                pos.taxes_chf += tax * fx if fx is not None else Decimal(\\\"0\\\")\\n   134|        elif t in {\\\"dividend\\\", \\\"etf_distribution\\\"}:\\n   135|            income_original = _d(row[\\\"net_amount_original\\\"]) if row[\\\"net_amount_original\\\"] is not None else gross - fee - tax\\n   136|            if fx is not None:\\n   137|                pos.income_chf += income_original * fx\\n   138|                pos.fees_chf += fee * fx\\n   139|                pos.taxes_chf += tax * fx\\n   140|        if t == \\\"initial_position_snapshot\\\":\\n   141|            _add_warning(conn, pos, \\\"snapshot_only\\\", \\\"Initial snapshot lacks full transaction history; performance is incomplete.\\\")\\n   142|            if gross == 0 or fx is None:\\n   143|                _add_warning(conn, pos, \\\"cost_basis_uncertain\\\", \\\"Cost basis is uncertain for this initial snapshot.\\\")\\n   144|    for key, lot in lots.items():\\n   145|        pos = result.positions[key]\\n   146|        pos.quantity = lot.quantity.normalize()\\n   147|        pos.cost_basis_original = _money(lot.cost_basis_original) or Decimal(\\\"0\\\")\\n   148|        pos.cost_basis_chf = _money(lot.cost_basis_chf) or Decimal(\\\"0\\\")\\n   149|        pos.average_cost_original = lot.average_cost_original\\n   150|        pos.average_cost_chf = lot.average_cost_chf\\n   151|        pos.realized_pnl_chf = _money(lot.realized_pnl_chf) or Decimal(\\\"0\\\")\\n   152|        pos.income_chf = _money(pos.income_chf) or Decimal(\\\"0\\\")\\n   153|        pos.fees_chf = _money(pos.fees_chf) or Decimal(\\\"0\\\")\\n   154|        pos.taxes_chf = _money(pos.taxes_chf) or Decimal(\\\"0\\\")\\n   155|        market = _latest_market_price(conn, pos.instrument_id, as_of_date)\\n   156|        if market is None:\\n   157|            _add_warning(conn, pos, \\\"missing_market_price\\\", \\\"Market price is missing; unrealized P&L cannot be calculated.\\\")\\n   158|        else:\\n   159|            pos.market_price_original = _d(market[\\\"close\\\"])\\n   160|            pos.market_value_original = _money(pos.quantity * pos.market_price_original)\\n   161|            # MVP: use only local FX data; dashboards never call providers during render.\\n   162|            if market[\\\"currency\\\"] == \\\"CHF\\\":\\n   163|                pos.market_value_chf = pos.market_value_original\\n   164|                pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n   165|            else:\\n   166|                fx_row = latest_fx_rate(conn, base_currency=market[\\\"currency\\\"], quote_currency=\\\"CHF\\\", rate_date=as_of_date)\\n   167|                if fx_row:\\n   168|                    market_fx = _d(fx_row[\\\"rate\\\"])\\n   169|                    pos.market_value_chf = _money(pos.market_value_original * market_fx) if pos.market_value_original is not None else None\\n   170|                    if pos.market_value_chf is not None:\\n   171|                        pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)\\n   172|                else:\\n   173|                    _add_warning(conn, pos, \\\"missing_fx\\\", \\\"Market FX is missing; CHF valuation is incomplete.\\\")\\n   174|        if pos.market_value_chf is not None and \\\"missing_fx\\\" not in pos.quality_warnings and \\\"cost_basis_uncertain\\\" not in pos.quality_warnings and \\\"snapshot_only\\\" not in pos.quality_warnings:\\n   175|            pos.total_return_chf = _money((pos.unrealized_pnl_chf or Decimal(\\\"0\\\")) + pos.realized_pnl_chf + pos.income_chf - pos.fees_chf - pos.taxes_chf)\\n   176|        else:\\n   177|            pos.total_return_chf = None\\n   178|    conn.commit()\\n   179|    return result\\n   180|\\n   181|\\n   182|def save_position_snapshots(conn: Connection, result: PositionCalculationResult, *, note: str) -> list[str]:\\n   183|    if not note.strip():\\n   184|        raise ValueError(\\\"position snapshot requires a note\\\")\\n   185|    now = utc_now()\\n   186|    snapshot_date = result.as_of_date or now[:10]\\n   187|    ids: list[str] = []\\n   188|    for (account_id, instrument_id), pos in result.positions.items():\\n   189|        row = conn.execute(\\\"SELECT platform_id FROM accounts WHERE account_id=?\\\", (account_id,)).fetchone()\\n   190|        platform_id = row[\\\"platform_id\\\"] if row else None\\n   191|        snapshot_id = stable_id(\\\"possnap\\\", snapshot_date, account_id, instrument_id)\\n   192|        conn.execute(\\n   193|            \\\"\\\"\\\"\\n   194|            INSERT OR REPLACE INTO positions_snapshot(\\n   195|                position_snapshot_id, snapshot_date, account_id, platform_id, instrument_id,\\n   196|                quantity, average_cost_original, cost_basis_original, cost_basis_chf,\\n   197|                market_price_original, market_value_original, market_value_chf,\\n   198|                unrealized_price_pnl_chf, realized_pnl_chf, income_chf, fees_chf,\\n   199|                taxes_chf, total_return_chf, data_quality_status, created_at\\n   200|            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   201|            \\\"\\\"\\\",\\n   202|            (\\n   203|                snapshot_id, snapshot_date, account_id, platform_id, instrument_id,\\n   204|                str(pos.quantity), str(pos.average_cost_original) if pos.average_cost_original is not None else None,\\n   205|                str(pos.cost_basis_original), str(pos.cost_basis_chf),\\n   206|                str(pos.market_price_original) if pos.market_price_original is not None else None,\\n   207|                str(pos.market_value_original) if pos.market_value_original is not None else None,\\n   208|                str(pos.market_value_chf) if pos.market_value_chf is not None else None,\\n   209|                str(pos.unrealized_pnl_chf) if pos.unrealized_pnl_chf is not None else None,\\n   210|                str(pos.realized_pnl_chf), str(pos.income_chf), str(pos.fees_chf),\\n   211|                str(pos.taxes_chf), str(pos.total_return_chf) if pos.total_return_chf is not None else None,\\n   212|                pos.data_quality_status, now,\\n   213|            ),\\n   214|        )\\n   215|        record_audit_event(\\n   216|            conn,\\n   217|            source=\\\"ledger_positions\\\",\\n   218|            action=\\\"calculate_position_snapshot\\\",\\n   219|            entity_type=\\\"position_snapshot\\\",\\n   220|            entity_id=snapshot_id,\\n   221|\", \"total_lines\": 228, \"file_size\": 10851, \"truncated\": true, \"hint\": \"Use offset=221 to continue reading (showing 1-220 of 228 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_rDSWubEiRR7Sw7YX3LP7ZzoK", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Calculating positions for alerts**\n\nI need to calculate positions, which might involve creating active alerts. Should I do this specifically for C7? It seems like the data quality is okay, but I notice there's no position snapshot writes happening. I need to consider how to aggregate runtime for this process. It's all about making sure everything is accurate and functioning well!", "finish_reason": "tool_calls", "reasoning_content": "**Calculating positions for alerts**\n\nI need to calculate positions, which might involve creating active alerts. Should I do this specifically for C7? It seems like the data quality is okay, but I notice there's no position snapshot writes happening. I need to consider how to aggregate runtime for this process. It's all about making sure everything is accurate and functioning well!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwSgNTAHXm6mcnQJ2Q7YuPvdLNfEtrSOi2St6NRY2Sfvnurs4W9KR6-yOgLEW4RPQwL75Dhn0lvO3ZifoFTba0DY9Bqt7vfpg916R5gsYvoM-reoNdEV-Xt2s27m7NdvhC2lqJbrG-ah3IhyG-Z4NhqTkHPR06NVbXw6z43DD5OnXfRKI7ytvPTRR9M9dp1RogtLAscQtJS1H_32wx6jJhU455RbssDEofeqddETr3WJ5uM3_vUd-GzvrvBEsBm12b2RJqxkrZEBfs7CH5ZwG4ex1QAsbTffCisgbd62WevalWJeUxWxt86-kMvRtwA4TOTnmxIrd4pGYDZbBquBwh2GiFCmtOD8G2TB0sFGn0Y2MDnMM6DZYRr8B1n_eEy6Ly1m7BQrQ_QwACTmOF85oW1eCQdPmNUbqwppZzwRm4zIg88t7wEaXgsgJiR2B6PMFDOyBexoFruY4tqrcu5JOP2ZqehKp8Q9qnLZdhQAAhOvLtG3_e8Rsc8pzqHQ4mbgEsdX076jDwN9SDhtx2BQfoOaS1hm33khIFwxVBXA0msH2oFha7wzYjREuT2DYdyYAfTBuy2jiw8lWABlDQabtzGTYVjW-fqBSpl9fxPrpFcdu_jxlNWdkUOnsi-3fSFMAtwW_cvqT-GiPeJPZmJgYoEpk9tTRsK3Ybpx90bFsZC7upDzxoEU3h_IogIJOeJ_tlmAdjKYo5dXQJxrg3clBMNX8n_k775fIT86Ms9XGoOmwyZ-TqIeGRkE4YHmmEuBwh8HW4-0BxG4sP9nmGREzMmihyOY6XotCuAayUG41SkQvZ4gsOhX-bJiVYn4aMH7zAQ31Oty1muvDEZtRC-CUnHByDSYO9dwCvFrxDAaDuFfV6pmWAWS5nCAOv4IaErU-GM7nRu8OiAkBKDthVV5W0NpiOT8jqNfa3b7XEsz5g2Pn1oukhQ1nL6VpHEKFnCvXYraeSh20b6IJRIMvjmb7cywXxaN7KKDEpIIXRJ5vD4q1O1RmJJjJm526H3B_1axuh3a74jiaM65YEpKR6EWtXYCjpDedD2XnnYQee5DekBpJGJqUqkBd1KHLCeESWl_WxgqqPSFzQZxjS8It5E8zYsZHA==", "id": "rs_038a446df157a9a4016a07049df9288191a9ebec0567f4948b", "summary": [{"type": "summary_text", "text": "**Calculating positions for alerts**\n\nI need to calculate positions, which might involve creating active alerts. Should I do this specifically for C7? It seems like the data quality is okay, but I notice there's no position snapshot writes happening. I need to consider how to aggregate runtime for this process. It's all about making sure everything is accurate and functioning well!"}]}], "tool_calls": [{"id": "call_08N95v8E8QfIjo5Vz6QdsbZZ", "call_id": "call_08N95v8E8QfIjo5Vz6QdsbZZ", "response_item_id": "fc_038a446df157a9a4016a0704a04d9081919b1b865a61c4dd52", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"PYTHONPATH=src python - <<'PY'\\nfrom collections import Counter\\nfrom jarvis_finance.config.settings import load_settings\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.ledger.positions import calculate_positions\\ns=load_settings(); conn=connect(s.db_path); apply_migrations(conn)\\n# Trigger local-only valuation/data-quality calculation; no snapshot writes.\\npositions=calculate_positions(conn).positions\\nsource_instruments={r['instrument_id'] for r in conn.execute(\\\"SELECT DISTINCT instrument_id FROM transactions WHERE transaction_type='initial_position_snapshot' AND source_type='broker_import_reviewed_snapshot' AND COALESCE(is_voided,0)=0\\\").fetchall()}\\nrelevant=[p for (acct, inst), p in positions.items() if inst in source_instruments]\\nfx_ok=sum(1 for p in relevant if 'missing_fx' not in p.quality_warnings)\\nmissing_fx=sum(1 for p in relevant if 'missing_fx' in p.quality_warnings)\\nmarket_ok=sum(1 for p in relevant if p.market_price_original is not None)\\nmissing_market=sum(1 for p in relevant if p.market_price_original is None)\\nfull=sum(1 for p in relevant if p.market_value_chf is not None and 'missing_fx' not in p.quality_warnings and 'missing_market_price' not in p.quality_warnings)\\nalerts=conn.execute(\\\"SELECT rule_id, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY rule_id ORDER BY rule_id\\\").fetchall()\\nprint(f\\\"C7_AGG positions_total={len(relevant)} fx_ok_or_not_needed={fx_ok} missing_fx={missing_fx} market_price_ok={market_ok} missing_market_price={missing_market} complete_chf_valuation={full}\\\")\\nprint(\\\"ACTIVE_ALERTS \\\" + \\\" \\\".join(f\\\"{r['rule_id']}={r['c']}\\\" for r in alerts))\\nconn.close()\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"C7_AGG positions_total=3 fx_ok_or_not_needed=0 missing_fx=3 market_price_ok=0 missing_market_price=3 complete_chf_valuation=0\\nACTIVE_ALERTS cost_basis_uncertain=3 missing_fx=3 missing_market_price=3 missing_provider_symbol=3 snapshot_only=3\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_08N95v8E8QfIjo5Vz6QdsbZZ", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwSuRND9D1lkwrsqhX4ZxumtfUeJQy2d172dYQ14GLGM5S6GtJjomR9560jAX_f_d0Fk5IbyCxYjaNQoP384-2BFTAGh9pxpSIYOPdlLPdm0mhKroy_yJC_iqbSEY20SqW7Tt5keyjQFjqLsQxgrlI0O7TO2-Z3pveQdVlAMQT2MVz1cfoTHtrXWAjO5hvTYuNKZS59K4s7g_P4CUKxZJ3M10qp9DuvlGOMNNE_0rM8FBR7CaJGA-v9LfLSD0guGRRM89MiiKF9ju5kr57QqgzRrR5_aQVuqBo5T23fwGAst39ogkgjuXyEIniyz5Wzc5ES7E6kt49RINMPJv9-Fs0wnbQcGzDVHZR2WvErZxxxyT8IYbDQICQphw0-IQxW4HoMRUpuCEhMDQORuXIuW6JbznPnEMrwS4C88IXfZTH2H4BCnBxQtprVTPvC1I22Wz6Dum69gZMSFjmp_Op1tvtQkGF4t89MMSf3H3YKywYWg5mWQKkYnYsBuTQ0jmWtTMlZreF7M7amMmfeZ30x6bhTwL247IL9CN0rAWYTdQ_qB1zisSpQiUU-cWwGnWHKpR-ltkW7yfS6IxaNr-NhJUsMVzhvTAA6_0_FAeHhoqMoqGnhoh87LSmv7m1EHp-6aA-Tq2F6qxmfPLbUvyAU1L3sAJyMqngYJLNd3oyoWcRGTJlcEWtBYbF6Dxo_hePGuk2XfLc2PqCGnul7uWLEc4T5zllBkCP-kLN_Ad6cZ5gGu5p5gqFj3Qi4QRXZz5GYc-4qKRCzG7idQ--3r7i3E133moQP4_ruQidWNY3DccC8gA_zoZf_jIKnV9S3HZPXV1W_rHC_CR7iDfFDEtSZJoJtgC1ww_d_vLMyLUL1OD9c-EY5I757A5KYMq9_X51qD_SIQVuxD499YHIA9k8s85ruK_G6PUjZZ4d4lojcqGdvzDuTW1SY04AeFWggYoufPuZfy8ANT3wea_RXKejeKsqa9ivbsxDyd3RRZo9gMw5y207UvA2bCBu_mczm7003jWjK7muKLY2SwD1if4QcAGKqVUzXqHK2jZLcwPCUwSaz_TxCt__FGD_dfL5UhsdYC9pQQUPJ4M4Im5zY1HW8Ev9AZrCw5OHiikwdeRg3KUqVQGqUmGoKkzKi0p0-cgmvXkXnGKQ0Jinqn7lPV0KL_SwbXMW_7qPqlhtH42hTBNy-U415sS-mPJMGfbZmW0Zkl1-GEeJgmLs7QfrbObKMYSY1TVunRwTxk7uux3u3niP1Dtq38VywIpcNKDZgLxwMFwpM29sZ6X_C6ptoeJSpvOfsAFK_AdRApwWhL2NF7c7HHWz_f3NrLp2yuaHS9wIkFBimql30bN_4x6g7Gop5GCE50zleF7gAChjfMTRBY1cZYc6M1MjCRr0GDVELbHsUQMwEk-aYS3tGJjY8pmLkpvpcghjXIGANGt5I64ID-f14uID2lnxDtR8WffYjZ_3rWSwTbuXseP21K6fXFsK4IUkFKwOXTLijEvMyV-smyQEOWs4t_ahEdTrBifCNWe63b-Wf9OMrvf5pSpqdCNiWPhypBs0FFlAQ27OleLRfVwSGN75MLhsnixYfXJBhxdRPAGQOFVfvDt5pvdo8TqaFK_jl__kCm5CbdPFNLZXOoTWh1PskHO4M5eMze_V89NLVmy0KA", "id": "rs_0f0f59ebf2f96dfc016a0704ac22ec8191a4c2f5048fa9560a", "summary": []}], "tool_calls": [{"id": "call_YnUaHATcVlv0OcqXy0wjxTNN", "call_id": "call_YnUaHATcVlv0OcqXy0wjxTNN", "response_item_id": "fc_0f0f59ebf2f96dfc016a0704b15b848191aa2994313e3c0033", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python -m compileall -q src tests\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}, {"id": "call_0VTc1l3xb2ApirOc6wnEL92j", "call_id": "call_0VTc1l3xb2ApirOc6wnEL92j", "response_item_id": "fc_0f0f59ebf2f96dfc016a0704b15b948191aea924d8eb07bd2d", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}, {"id": "call_3QaKDKhf9sbpKJblp0hNgnMy", "call_id": "call_3QaKDKhf9sbpKJblp0hNgnMy", "response_item_id": "fc_0f0f59ebf2f96dfc016a0704b15ba08191a065612d5e8d390b", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_YnUaHATcVlv0OcqXy0wjxTNN", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".pytest_cache/CACHEDIR.TAG: runtime_cache_file_blocked\\n.pytest_cache/README.md: runtime_cache_file_blocked\\n.pytest_cache/.gitignore: runtime_cache_file_blocked\\n.pytest_cache/v/cache/nodeids: runtime_cache_file_blocked\\n.pytest_cache/v/cache/lastfailed: runtime_cache_file_blocked\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_0VTc1l3xb2ApirOc6wnEL92j", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"M src/jarvis_finance/cli/main.py\\n M src/jarvis_finance/dashboard/data.py\\n M src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\\n M src/jarvis_finance/fx/overrides.py\\n M src/jarvis_finance/fx/providers.py\\n M src/jarvis_finance/fx/rates.py\\n M src/jarvis_finance/ledger/positions.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_schema.py\\n?? src/jarvis_finance/market_data/mappings.py\\n?? src/jarvis_finance/market_data/prices.py\\n?? tests/unit/test_fx_market_data_phase_c.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3QaKDKhf9sbpKJblp0hNgnMy", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "terminal", "content": "{\"output\": \"GIT_SAFETY_OK\\n M src/jarvis_finance/cli/main.py\\n M src/jarvis_finance/dashboard/data.py\\n M src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py\\n M src/jarvis_finance/fx/overrides.py\\n M src/jarvis_finance/fx/providers.py\\n M src/jarvis_finance/fx/rates.py\\n M src/jarvis_finance/ledger/positions.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_schema.py\\n?? src/jarvis_finance/market_data/mappings.py\\n?? src/jarvis_finance/market_data/prices.py\\n?? tests/unit/test_fx_market_data_phase_c.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_tsgBFHnleslzhhqU4W7LF3VH", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Reassessing test procedures**\n\nI’m considering running pytest after clearing the cache. The order should be: run pytest, then remove the cache, and finally ensure safety. That seems like a solid plan. I might need to inspect any differences afterward. Maybe checking git diff could be helpful too, especially if there aren’t any values to compare. Let’s make sure everything is in order!", "finish_reason": "tool_calls", "reasoning_content": "**Reassessing test procedures**\n\nI’m considering running pytest after clearing the cache. The order should be: run pytest, then remove the cache, and finally ensure safety. That seems like a solid plan. I might need to inspect any differences afterward. Maybe checking git diff could be helpful too, especially if there aren’t any values to compare. Let’s make sure everything is in order!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwS_8DfBRCCUvGr1nfwuwL6cWjUd4hHpe9ziATIiIuicNlbM136iZ4mPxsVHG-mW1TIhd9dB0hX0YH2n8ynKQherWcxjWtfVKqq1P_ZSsVNcV_Jz8EjvafKUTbF9a9K0Wwo14RM_6Jx1g1V507nEHqwExzcElJvpt1C81xKPrZpB8Cq5Txo_VUwlh0obpC8_x_Qb6oeWKQfBxmzyZ6YZbe-FRQSWBQXPltcuOOobbjpLTMtL3BlaPFSSV1gjntJeh7FqbLTe-hE6kvDoOwcvheSkDE_5hR3ABskq5sts9WCvUA0wRRj7bJzopalfSbNbl9BK6elyHdVxi-iDdPKk0f-kec1Ha8D6SbRag54OPT9FYvIgSSLc9Lw-Vb9SJ1v2P89TD5obj8kdyqyptq938qeIo3dbR0Toq1MGRTnNzu_VnmE-RpmeJjrnp6jBQbXGC9uTvcgGN91oBc6vg1179n7x-ibPlf0UfuYgQt0VdAUMqaRo9IgG0Kzv9ckcjdd0YjbNjP-ifb95FXXLK1utagSNXwYqI7QJwrLqXN-3HVLPT76AnBJW5Q93CFcsWdcyCKSxeus2uCpZvk6J8xWh-ZViBdpTZ7J-cShejs_kMrRGH9nAkUSfH1DHABaDpp8fMkNvKrgW2s3mDHfUuE7NCmX0B0lnvy-3k0xmQsmuhOo8Znm8W8htDRgW7SvFzd_eaq-Iu_GkSGzB4ds-mEncmWgI-p4Be81Y349O2BxlZdvNXGe4F201lbgXACeYBte07AKyGECtz5lp0TU6VXZXtedpoa-Nmv1qAIEwDD3u0MfaY9VYURDnoQ2sk0sNt18X3m2g-Ny2n4pDZpiD7hr7e9ttS4twUeIZv8uoyJ1luIjGlyPvhyLqv3GERFPDCl-Fzkvu0ne4CvvjMKXdaeUqVqqHGpL1e_h2gkQT5X_EtvwKizGw1aLFEz4OOJwzYlChwz69ZNTquzgIiGLGP9cce65Tm3REKBDzjd5tpiZ6I6D8EBExnpbowpETMoyBVaMrmU2KvnwcZ0R60qRuIaa7kIOUbmsaV02WbLlhWZUO-vYGwonK_zFn7cBYCYz7KUSJiiwgYxkQpI-U43pgOOEdPsbjFQ__lX-ozSxbFWknIxBYfQTInHxxKjRdMHW_K8lpLMQn8P8sS540U5WnupX91inK66jGJZsu_KmDFZ9IIPMaHeDaHYDJIQJiPDWJiKkI0QIM", "id": "rs_0675f26b17366e68016a0704bd22d48191af76cabf094393a6", "summary": [{"type": "summary_text", "text": "**Reassessing test procedures**\n\nI’m considering running pytest after clearing the cache. The order should be: run pytest, then remove the cache, and finally ensure safety. That seems like a solid plan. I might need to inspect any differences afterward. Maybe checking git diff could be helpful too, especially if there aren’t any values to compare. Let’s make sure everything is in order!"}]}], "tool_calls": [{"id": "call_JyPZO3puHvmPK6lpDtjTb9Id", "call_id": "call_JyPZO3puHvmPK6lpDtjTb9Id", "response_item_id": "fc_0675f26b17366e68016a0704bf703481918c8a758c01b7272c", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git diff --stat && git diff --check\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"src/jarvis_finance/cli/main.py                     |  88 ++++++++\\n src/jarvis_finance/dashboard/data.py               |  13 ++\\n .../dashboard/pages/page_16_data_quality_center.py |   4 +-\\n src/jarvis_finance/fx/overrides.py                 |  42 ++++\\n src/jarvis_finance/fx/providers.py                 |  18 ++\\n src/jarvis_finance/fx/rates.py                     | 242 ++++++++++++++++++++-\\n src/jarvis_finance/ledger/positions.py             |  22 +-\\n src/jarvis_finance/storage/migrations.py           |  41 +++-\\n tests/unit/test_schema.py                          |   2 +-\\n 9 files changed, 460 insertions(+), 12 deletions(-)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_JyPZO3puHvmPK6lpDtjTb9Id", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering version control best practices**\n\nI realize I have some untracked files that need attention. I think the first step is to use `git add`, then maybe run `pytest` to ensure everything works as expected. Also, should I run `git safety` after adding files? It checks for sensitive data. I need to confirm whether including untracked files requires running `git status` first. Finally, I’ll commit and push, and maybe consider using the GitHub PR workflow for this process.", "finish_reason": "tool_calls", "reasoning_content": "**Considering version control best practices**\n\nI realize I have some untracked files that need attention. I think the first step is to use `git add`, then maybe run `pytest` to ensure everything works as expected. Also, should I run `git safety` after adding files? It checks for sensitive data. I need to confirm whether including untracked files requires running `git status` first. Finally, I’ll commit and push, and maybe consider using the GitHub PR workflow for this process.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwTH5gmy-0AM3Iv1OBuZpyAQTmhpA-aDYfajwr6wpSDDGZu5d-lRIRryGf2urQ0YdVdHurTalw-PyPhC0T1vyhFNOpmRnoZaC_3ZNFw73ugC4nbZ1LVv8lJEARMKxld8HMnV7nlnllyCnxnsSzhiW40u49RYAqCeW0XgUZelz-T1eD8C1vknqc5HwlpJzm1Nf17v0eteUHy0e1pso9KKRNZssxulWSlM1vxTkghkINj8uunt5R9Ym966KX_lCB8cylyKFJ1FxnHgqBMR11kMAytVeUYk70s_7IXQm35vyTB0fSmvtMJqy6YPyh9jC8lqtoENFQsfXTGSWCmshlSmdXm3IsXtKoofAW8LaTlwUZgB_Jl4SBYQ6evEXuxAmIdLY2zM4rNtKAHGtU1VkLg4MYq6SkyMJNH84DNEyWCiqCZM4sy9_Kd-ftqh_vna-WdD3fOwHG3WG0HqTKUMn2TKz0iYNFRbyY1R0xhHxYf0ryfM0KYJRpvNHirMWBx0ut8ZdOk9Q_oNSw2TI1cXn6AIKMz9ciAtcO-RY_poB7DrALY0h5kC47DkXq7Q8y4thDtCvL-QPoZAvaXcNx2eyrnDtJP_ifpCFVCHwR7W5YxqtcsKZmBIAfgZ5Xj69f7AI2k86V5GS4ULBqtRYO652NxjCTFCzNaTuh1BjNP_WmXh1UhagIDKHxZNxaFWmYnKUOHwF9FdoDNBcJubzZEJt6ClmYVLWIyerP28UiTUI-01L9e7i2BZmJw1YqwwspTN6lFpFtDSRNFnpKg_zJpVAL4Y4PU0KXYiOG3y-KgKmBfPP0Ua90AEcFsftL9VulKMu_Qh5wmvdI1nzbZXiZA9jDnk5dWy7gZxCobrwFTEDrU2Xj0zzpAnzDXDPlvbbEwFP0SJZx4ClJeh29udJr4FlqDFmwilh6LeFmvd-bbSwqaYLw_98Vqnsq47AtcuNvcVE-4ByoR_O-cs5Xlkv5bicide9jgy4joDUBh0Uc3gheSy_6UBU34dA4hm4KYqhdnF87yKwmcyna8_VLs13k5YttTXbnyHIICazjK-Hj6igeVnl-QIpbDPw-wmeCKndigvxB1lHYJ1VZ1dPSm6aiMRXGA0_Y-UZ4haEcehjVds3k7AMKd3cCDVVy5fxfS4SF_p28TXXH6RkER-zRwDsYV2cGALU3rPy7u8RssnP-b0hFFnRWZ0zupul-hhIkY_3gfVNY_5cgWRTYzXCdMnqZRiAy5P5G48HBVjcIuN45r5ib86fNelOMcEPSxhLGsoYE90YSGYs9cDiVpaCqd1w-9GqLh4XuxlbDlPVNIvEAg7h4v38pD6iVqsAQHIDxF53yT_U3R8ume7B86erYtk-6CHJfGV_1_Tff3ChQBiIW6nSTlDmAyUvgWnUN6pfMnLOVhOnogVSV4EEOOFMa2hIWR9qTfyD9uFQoN_5Fm_BGvD6vnL79bZwBYhjtllfP6QgUAK2tXdjKl0Bopeh7_zR8Lz-4FlIbfrA6ivoTlBix8IZuwpvpaoD00=", "id": "rs_034d544d0bdbad4a016a0704c1e704819186b70ac52dc0cbd0", "summary": [{"type": "summary_text", "text": "**Considering version control best practices**\n\nI realize I have some untracked files that need attention. I think the first step is to use `git add`, then maybe run `pytest` to ensure everything works as expected. Also, should I run `git safety` after adding files? It checks for sensitive data. I need to confirm whether including untracked files requires running `git status` first. Finally, I’ll commit and push, and maybe consider using the GitHub PR workflow for this process."}]}], "tool_calls": [{"id": "call_3otBCJSFXYa7x1QNmpadSK5t", "call_id": "call_3otBCJSFXYa7x1QNmpadSK5t", "response_item_id": "fc_034d544d0bdbad4a016a0704c7214881918b8821ea634d279e", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"github-pr-workflow\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"], \"content\": \"---\\nname: github-pr-workflow\\ndescription: \\\"GitHub PR lifecycle: branch, commit, open, CI, merge.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n  hermes:\\n    tags: [GitHub, Pull-Requests, CI/CD, Git, Automation, Merge]\\n    related_skills: [github-auth, github-code-review]\\n---\\n\\n# GitHub Pull Request Workflow\\n\\nComplete guide for managing the PR lifecycle. Each section shows the `gh` way first, then the `git` + `curl` fallback for machines without `gh`.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n- Inside a git repository with a GitHub remote\\n\\n### Quick Auth Detection\\n\\n```bash\\n# Determine which method to use throughout this workflow\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n  AUTH=\\\"gh\\\"\\nelse\\n  AUTH=\\\"git\\\"\\n  # Ensure we have a token for API calls\\n  if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n    if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n      GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n    elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n      GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n    fi\\n  fi\\nfi\\necho \\\"Using: $AUTH\\\"\\n```\\n\\n### Extracting Owner/Repo from the Git Remote\\n\\nMany `curl` commands need `owner/repo`. Extract it from the git remote:\\n\\n```bash\\n# Works for both HTTPS and SSH remote URLs\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\necho \\\"Owner: $OWNER, Repo: $REPO\\\"\\n```\\n\\n---\\n\\n## 1. Branch Creation\\n\\nThis part is pure `git` — identical either way:\\n\\n```bash\\n# Make sure you're up to date\\ngit fetch origin\\ngit checkout main && git pull origin main\\n\\n# Create and switch to a new branch\\ngit checkout -b feat/add-user-authentication\\n```\\n\\nBranch naming conventions:\\n- `feat/description` — new features\\n- `fix/description` — bug fixes\\n- `refactor/description` — code restructuring\\n- `docs/description` — documentation\\n- `ci/description` — CI/CD changes\\n\\n## 2. Making Commits\\n\\nUse the agent's file tools (`write_file`, `patch`) to make changes, then commit:\\n\\n```bash\\n# Stage specific files\\ngit add src/auth.py src/models/user.py tests/test_auth.py\\n\\n# Commit with a conventional commit message\\ngit commit -m \\\"feat: add JWT-based user authentication\\n\\n- Add login/register endpoints\\n- Add User model with password hashing\\n- Add auth middleware for protected routes\\n- Add unit tests for auth flow\\\"\\n```\\n\\nCommit message format (Conventional Commits):\\n```\\ntype(scope): short description\\n\\nLonger explanation if needed. Wrap at 72 characters.\\n```\\n\\nTypes: `feat`, `fix`, `refactor`, `docs`, `test`, `ci`, `chore`, `perf`\\n\\n## 3. Pushing and Creating a PR\\n\\n### Push the Branch (same either way)\\n\\n```bash\\ngit push -u origin HEAD\\n```\\n\\n### Create the PR\\n\\n**With gh:**\\n\\n```bash\\ngh pr create \\\\\\n  --title \\\"feat: add JWT-based user authentication\\\" \\\\\\n  --body \\\"## Summary\\n- Adds login and register API endpoints\\n- JWT token generation and validation\\n\\n## Test Plan\\n- [ ] Unit tests pass\\n\\nCloses #42\\\"\\n```\\n\\nOptions: `--draft`, `--reviewer user1,user2`, `--label \\\"enhancement\\\"`, `--base develop`\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  -H \\\"Accept: application/vnd.github.v3+json\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/pulls \\\\\\n  -d \\\"{\\n    \\\\\\\"title\\\\\\\": \\\\\\\"feat: add JWT-based user authentication\\\\\\\",\\n    \\\\\\\"body\\\\\\\": \\\\\\\"## Summary\\\\nAdds login and register API endpoints.\\\\n\\\\nCloses #42\\\\\\\",\\n    \\\\\\\"head\\\\\\\": \\\\\\\"$BRANCH\\\\\\\",\\n    \\\\\\\"base\\\\\\\": \\\\\\\"main\\\\\\\"\\n  }\\\"\\n```\\n\\nThe response JSON includes the PR `number` — save it for later commands.\\n\\nTo create as a draft, add `\\\"draft\\\": true` to the JSON body.\\n\\n## 4. Monitoring CI Status\\n\\n### Check CI Status\\n\\n**With gh:**\\n\\n```bash\\n# One-shot check\\ngh pr checks\\n\\n# Watch until all checks finish (polls every 10s)\\ngh pr checks --watch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Get the latest commit SHA on the current branch\\nSHA=$(git rev-parse HEAD)\\n\\n# Query the combined status\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n  | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nprint(f\\\\\\\"Overall: {data['state']}\\\\\\\")\\nfor s in data.get('statuses', []):\\n    print(f\\\\\\\"  {s['context']}: {s['state']} - {s.get('description', '')}\\\\\\\")\\\"\\n\\n# Also check GitHub Actions check runs (separate endpoint)\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/check-runs \\\\\\n  | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nfor cr in data.get('check_runs', []):\\n    print(f\\\\\\\"  {cr['name']}: {cr['status']} / {cr['conclusion'] or 'pending'}\\\\\\\")\\\"\\n```\\n\\n### Poll Until Complete (git + curl)\\n\\n```bash\\n# Simple polling loop — check every 30 seconds, up to 10 minutes\\nSHA=$(git rev-parse HEAD)\\nfor i in $(seq 1 20); do\\n  STATUS=$(curl -s \\\\\\n    -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n    https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n    | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['state'])\\\")\\n  echo \\\"Check $i: $STATUS\\\"\\n  if [ \\\"$STATUS\\\" = \\\"success\\\" ] || [ \\\"$STATUS\\\" = \\\"failure\\\" ] || [ \\\"$STATUS\\\" = \\\"error\\\" ]; then\\n    break\\n  fi\\n  sleep 30\\ndone\\n```\\n\\n## 5. Auto-Fixing CI Failures\\n\\nWhen CI fails, diagnose and fix. This loop works with either auth method.\\n\\n### Step 1: Get Failure Details\\n\\n**With gh:**\\n\\n```bash\\n# List recent workflow runs on this branch\\ngh run list --branch $(git branch --show-current) --limit 5\\n\\n# View failed logs\\ngh run view <RUN_ID> --log-failed\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\n# List workflow runs on this branch\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?branch=$BRANCH&per_page=5\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nruns = json.load(sys.stdin)['workflow_runs']\\nfor r in runs:\\n    print(f\\\\\\\"Run {r['id']}: {r['name']} - {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Get failed job logs (download as zip, extract, read)\\nRUN_ID=<run_id>\\ncurl -s -L \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n  -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs && cat ci-logs/*.txt\\n```\\n\\n### Step 2: Fix and Push\\n\\nAfter identifying the issue, use file tools (`patch`, `write_file`) to fix it:\\n\\n```bash\\ngit add <fixed_files>\\ngit commit -m \\\"fix: resolve CI failure in <check_name>\\\"\\ngit push\\n```\\n\\n### Step 3: Verify\\n\\nRe-check CI status using the commands from Section 4 above.\\n\\n### Auto-Fix Loop Pattern\\n\\nWhen asked to auto-fix CI, follow this loop:\\n\\n1. Check CI status → identify failures\\n2. Read failure logs → understand the error\\n3. Use `read_file` + `patch`/`write_file` → fix the code\\n4. `git add . && git commit -m \\\"fix: ...\\\" && git push`\\n5. Wait for CI → re-check status\\n6. Repeat if still failing (up to 3 attempts, then ask the user)\\n\\n## 6. Merging\\n\\n**With gh:**\\n\\n```bash\\n# Squash merge + delete branch (cleanest for feature branches)\\ngh pr merge --squash --delete-branch\\n\\n# Enable auto-merge (merges when all checks pass)\\ngh pr merge --auto --squash --delete-branch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nPR_NUMBER=<number>\\n\\n# Merge the PR via API (squash)\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/merge \\\\\\n  -d \\\"{\\n    \\\\\\\"merge_method\\\\\\\": \\\\\\\"squash\\\\\\\",\\n    \\\\\\\"commit_title\\\\\\\": \\\\\\\"feat: add user authentication (#$PR_NUMBER)\\\\\\\"\\n  }\\\"\\n\\n# Delete the remote branch after merge\\nBRANCH=$(git branch --show-current)\\ngit push origin --delete $BRANCH\\n\\n# Switch back to main locally\\ngit checkout main && git pull origin main\\ngit branch -d $BRANCH\\n```\\n\\nMerge methods: `\\\"merge\\\"` (merge commit), `\\\"squash\\\"`, `\\\"rebase\\\"`\\n\\n### Enable Auto-Merge (curl)\\n\\n```bash\\n# Auto-merge requires the repo to have it enabled in settings.\\n# This uses the GraphQL API since REST doesn't support auto-merge.\\nPR_NODE_ID=$(curl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n  | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['node_id'])\\\")\\n\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/graphql \\\\\\n  -d \\\"{\\\\\\\"query\\\\\\\": \\\\\\\"mutation { enablePullRequestAutoMerge(input: {pullRequestId: \\\\\\\\\\\\\\\"$PR_NODE_ID\\\\\\\\\\\\\\\", mergeMethod: SQUASH}) { clientMutationId } }\\\\\\\"}\\\"\\n```\\n\\n## 7. Complete Workflow Example\\n\\n```bash\\n# 1. Start from clean main\\ngit checkout main && git pull origin main\\n\\n# 2. Branch\\ngit checkout -b fix/login-redirect-bug\\n\\n# 3. (Agent makes code changes with file tools)\\n\\n# 4. Commit\\ngit add src/auth/login.py tests/test_login.py\\ngit commit -m \\\"fix: correct redirect URL after login\\n\\nPreserves the ?next= parameter instead of always redirecting to /dashboard.\\\"\\n\\n# 5. Push\\ngit push -u origin HEAD\\n\\n# 6. Create PR (picks gh or curl based on what's available)\\n# ... (see Section 3)\\n\\n# 7. Monitor CI (see Section 4)\\n\\n# 8. Merge when green (see Section 6)\\n```\\n\\n## Useful PR Commands Reference\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| List my PRs | `gh pr list --author @me` | `curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\"https://api.github.com/repos/$OWNER/$REPO/pulls?state=open\\\"` |\\n| View PR diff | `gh pr diff` | `git diff main...HEAD` (local) or `curl -H \\\"Accept: application/vnd.github.diff\\\" ...` |\\n| Add comment | `gh pr comment N --body \\\"...\\\"` | `curl -X POST .../issues/N/comments -d '{\\\"body\\\":\\\"...\\\"}'` |\\n| Request review | `gh pr edit N --add-reviewer user` | `curl -X POST .../pulls/N/requested_reviewers -d '{\\\"reviewers\\\":[\\\"user\\\"]}'` |\\n| Close PR | `gh pr close N` | `curl -X PATCH .../pulls/N -d '{\\\"state\\\":\\\"closed\\\"}'` |\\n| Check out someone's PR | `gh pr checkout N` | `git fetch origin pull/N/head:pr-N && git checkout pr-N` |\\n\", \"path\": \"github/github-pr-workflow/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/github/github-pr-workflow\", \"linked_files\": {\"references\": [\"references/conventional-commits.md\", \"references/ci-troubleshooting.md\"], \"templates\": [\"templates/pr-body-bugfix.md\", \"templates/pr-body-feature.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"]}}}", "tool_call_id": "call_3otBCJSFXYa7x1QNmpadSK5t", "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"Foreground command uses '&' backgrounding. Use terminal(background=true) for long-lived processes, then run health checks and tests in follow-up terminal calls.\", \"status\": \"error\"}", "tool_call_id": "call_jiIIllU2X2whQmHA3yHkULdn", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering tool usage**\n\nI'm trying to figure out how to handle the tool detection and bitwise operations. It seems like I need to avoid using the \"&\" character, which might cause issues. Instead, maybe I should rely on the stat module to navigate this situation. I want to avoid errors and ensure the tool functions correctly, so I'm thinking through the steps carefully to assess the best approach. Let's make sure to get this right!", "finish_reason": "tool_calls", "reasoning_content": "**Considering tool usage**\n\nI'm trying to figure out how to handle the tool detection and bitwise operations. It seems like I need to avoid using the \"&\" character, which might cause issues. Instead, maybe I should rely on the stat module to navigate this situation. I want to avoid errors and ensure the tool functions correctly, so I'm thinking through the steps carefully to assess the best approach. Let's make sure to get this right!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwTrUswo2idRcHA_cOaoQC3Ac6KPmcC5kV1GQl-NvYqTAdZdIOGDDm0LEhFZD80Z3OPxKuXZVA5lpG1QP7x-A_NVM2dx_Q-mQFtSrT419sRwTxhLAoZlPOV-945duIIMXPcckEJJWHza2NhioHP6Jjw9sTTRIWFLjtBn2-t5OeC1pRSAPOqr6OQEyBq8js7_ZSyHIFhH7uCeIa2-e1bZyehD2DrnOvXktI40JN_Psi2bBPVDQbeCNfPQWzbiRKbL1waQr-isgb3qaUfJBz0zqwK7CxZQyiYmz2y-yOSPMpetvLGkb1JOhs_oaripI3cjBcE_onreVYux6S9-hQ5AkJfnACxxKnS_po3UDfjZwPg1jh1oyQxyiXVXKArMB68ka5U-I50bA48VjHz3fmC5U-20UQqQbJzW2DxS9idnICtHRKLRwtlHHWj6W3gZ9-_j3hxuORVm460HOq_LvWvrFCY9XHZomKGUOePYKyXNSg5TQbcUlhG5RoU7Hn_hMZTvUVn_6fkGn2ggFPqrKcozx3d267oX_ZQKT2SXrgtXgZTfafCdFGBxIAcAWVl0z4Gh1lsDH1TKJN2s9o0-vZn4vgiNI21ofEZ46Jm6bVH39BJrSF56Wtm4VgYSj05aiBraxpmDi5jOBKH_X25aqV7L9YDPX35zTXTmtEexF40VlLiaXDFVuiwnF13PxV9elL9qlZusNEL4d0zF73LLjO93_h8El3wVpFRZABDrdq2b_4G4TA9JbBr81EI2jnap9LC4SBCK4yFGIYtWTgfH1BfXTFjhHt-kIi7DUVMHGF92T39xX9wwpA2RrXkqIKbKtHkuqPQB_dGqeX-pgCLq8sl4lRgBnaiejK_XzaYYsPNhJZbNoVGsny_xFtaU_g72PksDbdqdouhtiqIxXFxaSvznf0WMI7LDRD3i-0qQtgotj3epGWK_XHV_nOyLZREcd5urje09QKhMMXNToZphXfpWAzeI0bIqTyThMO3M7w-IHMFAEhk=", "id": "rs_0afd1c9b5e72f1b5016a0704e8f22c81918a5590ca126d96c8", "summary": [{"type": "summary_text", "text": "**Considering tool usage**\n\nI'm trying to figure out how to handle the tool detection and bitwise operations. It seems like I need to avoid using the \"&\" character, which might cause issues. Instead, maybe I should rely on the stat module to navigate this situation. I want to avoid errors and ensure the tool functions correctly, so I'm thinking through the steps carefully to assess the best approach. Let's make sure to get this right!"}]}], "tool_calls": [{"id": "call_tbB4cyMTgu2ARCqdz1eZ6iiW", "call_id": "call_tbB4cyMTgu2ARCqdz1eZ6iiW", "response_item_id": "fc_0afd1c9b5e72f1b5016a0704ebee748191ba2a622c2416dd27", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\nfrom pathlib import Path\\nimport stat\\np=Path.home()/'jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv'\\nprint('exists=' + str(p.exists()))\\nif p.exists():\\n    print('mode=' + stat.filemode(p.stat().st_mode))\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"exists=True\\nmode=-rw-------\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_tbB4cyMTgu2ARCqdz1eZ6iiW", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Working on token management**\n\nI need to push with a token and might have to parse a CSV for the first field. It looks like using a GIT_ASKPASS script in Python could be a way to read the token since GIT prompts for username and password. I could set up a temporary askpass script that injects the token through the environment variable GITHUB_TOKEN and avoids directly outputting it. The plan is to run a Python script that reads the CSV, selects the right cell, and executes a git push without exposing the token.", "finish_reason": "tool_calls", "reasoning_content": "**Working on token management**\n\nI need to push with a token and might have to parse a CSV for the first field. It looks like using a GIT_ASKPASS script in Python could be a way to read the token since GIT prompts for username and password. I could set up a temporary askpass script that injects the token through the environment variable GITHUB_TOKEN and avoids directly outputting it. The plan is to run a Python script that reads the CSV, selects the right cell, and executes a git push without exposing the token.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwTzbaVt3xQvHT9SsJHZyJxr_t8tSF7W0zMH54XzsyNrYQRUBSrSBwuTFpW9ppuoyjzD2vr_8tN-Br4ojNXcnFW_1FLN5COtmTuNUQhn0vyawGxIHhKsnMFlUgt7qlYqLJ2Y4eYD3dWwnRGE16TxUa35xvC4p-ohIt1dM2119fjhX-PrW0jt3QMdazcdISJYaDTAQXi8SxVhkB2oXkXq5AVPX0I88ipjDQENnJbnXmjKJJVp35dzr50BPPmeGNLCaTQrKYruQHEn6pMM5W5as-ZyYcFUFWHCq1ImNWIiEZ4A7U9z_3VqZRqFJiGOYcgItiRugyOTySHYXAW-R_V1Q0_PGDmhrimACV-OzLBdHUHSkJdmYlNceGcvlSsSewJYDK8sd5ASK7ZKOyogTeGiiLMWrelbD7EVJs3NuGt6ZlH6oXFfddGrA_ki1bly8jxrKR4YAPQeoFxNOyFzFaot2wBb9JcEHHv1a12HUv4MrLRbabIbr-XNbpAx-RD3ChHXwqQ6wp7_x62W4Kcb-CvKZW572gbLxTOLWkaTAV0wdmIKZKlKNfYeqaamV0vE0jlB28vCafSBp7uK1JHme2suqTiruwgakD6G9EDBgi_yrMsg0Hs5C3R4dRAScQnJrCvSndc60FKumSs_AeKpjdIJTf7nSaE0wqAK-vAjBAQABGxvvlfc6UD0x3TgHHpWTnmcI7hAg2IhVThBvo7xC0KjdziCjio2rnv6LqHQ9z4JazikIzDLsy7eUnN2lUpIfdWklEDWqkDK1bd7O1A5gkHt8nu7xc6SMwfxC9bhcsgn7JcUqNomEtih8JkDv4xqSOGXqEJADXI3CPpIN0bDV3rKZ1lnqxLvzn7wEzjiz8-ONRpzAMDaTliSsafP7bCUXnWC8gPdGYHXYhLwGBFPo4tpB7ldw8Dep-hTynxxQf1ACJhwVc0t4DL8XirU_U0Fk9zoKfzGJ4e_dHb-x9KoOSL3XdjYvY9uYxUFcLhWqc0UL9ErsYGnzHwCYePB-s5pbwZLxdKtaBBRLqOgIWQ6ZJ9CcFb5UBBt21woPPTGktQ4afnzYySvKk173qNYnwWXUZScFOz_jKWmd_AAdTZuJdgluogOlun2Z8RR9D7JoQZOmughrG0RhI5Cey7tyW_8k0oQCNiWZOn5ko6T50tqehzMsbNU0DlsrhirpQjuhSEUTvMMxOi4gOiAQ21Dp9TZDnsj2F7gcpAIZLZlP7OMKhk2AHUtk4t5BGTF0DyGrvv4ZAcVd4QYCte-MjywXknymNcE-Lo7CbuCN48UMwq5SNYr1PAX-FtVIZNxxvDJgC1bVFIHwQb15cRzgYAcYyHtyP35C0TUl0PSoUdC71XoBAWF32p1wsZgXgha7JGT6JMY7_e3v7pDZkQw4eiH7qa_MId3MOILSGmIkYB4iLsFIIrrjTx63zuZvKxaXNTAjbUMnr7eb7TtVCBhWdeR9dmj9GFOFiGELq6V_VbGH25Uqiz1RO63UdCKG3oPOSY_YN54IRwOMqdpuEKbvgI3m8VQR3pCtgSopC55OwMYOm2LzAcLEmI0H1EQnmaYl4zesfq4Gf7nH4dOYRHaZmju75-dqXy2T4neIOLKafYepuSTP0I5heJG1iZXhslRN3FLQ6idg7-X2zLvPc-U3_dlwaF1Bbmx3kny0ywFj-BefEtHQFidi0XhYA==", "id": "rs_0f2afb7d766215f5016a0704ee8fdc8191a9fb98aa2d4c0a41", "summary": [{"type": "summary_text", "text": "**Working on token management**\n\nI need to push with a token and might have to parse a CSV for the first field. It looks like using a GIT_ASKPASS script in Python could be a way to read the token since GIT prompts for username and password. I could set up a temporary askpass script that injects the token through the environment variable GITHUB_TOKEN and avoids directly outputting it. The plan is to run a Python script that reads the CSV, selects the right cell, and executes a git push without exposing the token."}]}], "tool_calls": [{"id": "call_69pMElkSxdurwKLW9d3xMSIn", "call_id": "call_69pMElkSxdurwKLW9d3xMSIn", "response_item_id": "fc_0f2afb7d766215f5016a0704f3650c8191b83abffdd78c64fe", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\nimport csv, os, subprocess, tempfile, stat\\nfrom pathlib import Path\\np=Path.home()/'jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv'\\ntoken=None\\nwith p.open(newline='') as f:\\n    for row in csv.reader(f):\\n        for cell in row:\\n            cell=cell.strip()\\n            if cell.startswith(('ghp_','github_pat_','gho_','ghu_')):\\n                token=cell\\n                break\\n        if token:\\n            break\\nif not token:\\n    raise SystemExit('token_not_found')\\naskpass=Path(tempfile.mkdtemp())/'askpass.sh'\\naskpass.write_text('#!/usr/bin/env sh\\\\ncase \\\"$1\\\" in\\\\n*Username*) printf \\\"%s\\\\\\\\n\\\" \\\"x-access-token\\\" ;;\\\\n*) printf \\\"%s\\\\\\\\n\\\" \\\"$GITHUB_TOKEN\\\" ;;\\\\nesac\\\\n')\\naskpass.chmod(0o700)\\nenv=os.environ.copy(); env['GIT_ASKPASS']=str(askpass); env['GITHUB_TOKEN']=token; env['GIT_TERMINAL_PROMPT']='0'\\nres=subprocess.run(['git','push','origin','main'], cwd='.', env=env, text=True, capture_output=True, timeout=300)\\nprint(res.stdout, end='')\\nprint(res.stderr, end='')\\nraise SystemExit(res.returncode)\\nPY\",\"timeout\":320,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"To https://github.com/Gamexgit/FinanceManager.git\\n   374fdd5..5fa8fac  main -> main\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_69pMElkSxdurwKLW9d3xMSIn", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Verifying git status**\n\nI need to ensure that my git status is clean after a push. It makes sense to do some final checks after committing. A safety scan post-clean could be wise, and I might need to run pytest as a pre-commit step. Verifying the status again seems helpful, but if \"git status\" already says it's clean, maybe I'm good to go! I'm just double-checking to make sure everything is in order.", "finish_reason": "tool_calls", "reasoning_content": "**Verifying git status**\n\nI need to ensure that my git status is clean after a push. It makes sense to do some final checks after committing. A safety scan post-clean could be wise, and I might need to run pytest as a pre-commit step. Verifying the status again seems helpful, but if \"git status\" already says it's clean, maybe I'm good to go! I'm just double-checking to make sure everything is in order.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwUELzF4jX9KwQG8fUHgDT2I2Cgbt9FEIqcgxvjtAR7XyxO1_oVxyk2JIiyO54udCv58YoEMtT6a7RklA7tL18Svxl96Uu2L6CaoiBznWUyj7qSTrkI2FHDQ9QeIYwpSvimqEBuHO8cVHJ8BWYv7f5iKW6yVXSshrpICMWrcfbVHuC4c30odCVxgSy_XqxC3Zp3NNrDt1qRwQ9s2xzhkk5CetEa0jk3lgoYixDMpdEzILQbDo0cd3Cvn7f1m9gcoFoFxfLDqNSUO4S2CE9iYBXGKUrM49gRvo6wd7d6ZwLtIDOv9LFfJdelsnBet2Xdq1Is_cTSI3u4qhInb8rM2oy-ts2EcBILNSqKGw1QVHqTaQ0D9WcIJZnuBMYBZrcCt2NnRmTKEKD0W1EysLtuPcLjAispbnaYYS6q99SjL1dhqkH5zgJtedCfOwnuQsYwFzsA3qzoPtBs4OQIHAjswfmFGQE_TNcO8jrndFEwibNcYUa1Q_sEuKwzywDGwX6gUwIYXxlWENB3usn8__af6P5ir-S6729h8w9LcbfXYQKmihWHDXmkaORlh5CuZ6v3ucBqB385yP4GEIjdDJ-38vYhFecK1xCy-GQ8wnxySfQPJQgcW7OiCIWPha9vfEgdaguYcAW4ZccLxIJPK9GSkvNLHwPMZmTSxYuzPXMTzgMwFbNRsBYnCWHaydxIujw7ZZLIfkIrL1AxeLDGyHeRp58--0629mqNIImZRgCqS7pOBz-ULY5d89q-MVIdN155334KcVsaotGzw8QiDSfEeSd7SpmQJr8B5h6z6DrXJxnJCkhxbshCZKHYdRhQo1XWcCvbZNoBe-j5UGjdNsA601O7THkWBvgUNFWUc5H7hDISA7YeP5OLLcSgfaW5ruW6jAtzltNiT9KQ0WDJJbJSXZYzPj92qN4dQz1gwW3og8LDdRAnEiZBJDH2tMnFAJvCZnXYJ3KKqx2B00O3CHLE-X7mreFUtUL2FFxNnNFfnVIoOqHWHF-7ztWTYI_QvnvRUgcWrXAZi3DP9XpGy9uYYN1L6103Q8eIndz0UdC3ZFWWgee6377UpOwnKFzq051hXFaTvpVvHBt98l43gWiBpDaApOhGsUGTx3sMUtWuraEaLkqAnVk3lNBnfsN-00J1qC6tlLV1I2p12iWd3F0WJ13-7nDVvQpdA3xmUvigKLiGkXCc=", "id": "rs_079f0d4010c46df8016a07050146e8819195a142fa8480750b", "summary": [{"type": "summary_text", "text": "**Verifying git status**\n\nI need to ensure that my git status is clean after a push. It makes sense to do some final checks after committing. A safety scan post-clean could be wise, and I might need to run pytest as a pre-commit step. Verifying the status again seems helpful, but if \"git status\" already says it's clean, maybe I'm good to go! I'm just double-checking to make sure everything is in order."}]}], "tool_calls": [{"id": "call_JzpJO2YXWQd9c6G7gXGJv94q", "call_id": "call_JzpJO2YXWQd9c6G7gXGJv94q", "response_item_id": "fc_079f0d4010c46df8016a0705050d188191a11d691b4e4c30ca", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git status --short && git rev-parse --short HEAD\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}, {"id": "call_iQ4T6deWt1jytLX9SpTcd62x", "call_id": "call_iQ4T6deWt1jytLX9SpTcd62x", "response_item_id": "fc_079f0d4010c46df8016a0705050d308191b7189c28279b2ead", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"PYTHONPATH=src python -m jarvis_finance.cli.main git-safety-scan .\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "tool", "name": "terminal", "content": "{\"output\": \"GIT_SAFETY_OK\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_iQ4T6deWt1jytLX9SpTcd62x", "timestamp": "2026-05-15T13:36:20.818783"}
{"role": "assistant", "content": "", "reasoning": "**Considering commit requirements**\n\nI need to ensure the status output is clean and only shows the hash. It might be a good idea to run tests after the commit, but first, I definitely want to compile and use pytest before committing. Then, I might need to track the runtime of C7 after the commit. Additionally, I should remember to mark any todos that are completed. Just keeping everything organized!", "finish_reason": "tool_calls", "reasoning_content": "**Considering commit requirements**\n\nI need to ensure the status output is clean and only shows the hash. It might be a good idea to run tests after the commit, but first, I definitely want to compile and use pytest before committing. Then, I might need to track the runtime of C7 after the commit. Additionally, I should remember to mark any todos that are completed. Just keeping everything organized!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwUT-mn7viVxCqhnSFAU3UWdjQ9173wvbRqPLSU-tql6bve7pPbycJI0ZYBVpXtoOzVZMbpu0N2-KeuZteYmTxHDdOmcK-wND3h1ZsnKa6kC8WGbhSUSg0fccyLrTFaj0OeArHFNQ9vTTsOaO2mNgOwIGMHTLlmgfXMTaK0Dms_53jlLdvZN79nwI2R37OcIea9hrIRCvqsBDKFn9TkG3AqPnA_TORWc8izSokVe7u1MuSp2Y7DgcxJ7XqncFGY1HeM0EiHDF1dHhaag2tnA7wkbD5sT5idEa09zNeQFsASX88lr35uc1sTZSK4lx44JTDINUmG_zqvH0ih_50h13JfW0haArXRQh1Y5vpLWcoq4x1REdM7KVdnjjDzjKIRkOfjdwksqg19nd6gNQHaXU4MLO5US5McseBBZKXH5YT83avaUqpOxlTrMxHm1eG8xuKcpXgIdTJGzaxQpBo_wa1NobSx1cEg4Q6UZOClURNbVZoJHA4O6zVR6rpPBFDl_Dz6VaDSNb5O7mMs9-9MvgH7p9zL-w4Fvhoozp1y4-cGbmgO3PrOTsTQs3wFtAGcevIY_-R02LnrND4nAn18fCSpm8RakdkvYAypLLUvb8X1S01oiCUgRUlJijtE_x6LOL6C_8ciOiNRn33vahAT8WBFP9umvuv-K4-87Jiv4rB_ZJvkJIdN6jScUgOMgQBU8cegLTCWlxeGYD_X9GUA18aNtsyeSbjF2XrGXLKEgZJhuLdWFpVThWZj4MAHaMFkGLuUIcezkRdlKtFf-9qfZHPfsIvvi_IcwXVb29IkskW8DwwCOoV1kC1fXXwc_UtCZ-jntTjV2q1XLxv3prMEpioFvbBHozO2_tK3DU3h51ib7uoUBXj-ChR_CUQ6rd-V4SCems2XKOzdP0UyBv4Ne92ZNazRsqgR_3U-PDIrKDM8fgWksUZBHD2XX0WZIZCoHeVVTQs2BPXD2og64gAuzewuC8x5KuywsI2qWcfG-MfXm4yutBKjhsSAyX2brqjJoFu4uBgfnK06M3zg0KE_cLN-NbTd8vlqyJ6EyPz2aUKsjjiMCjQBpBGJxIV1-0g9U4rv5DN-5aXTJIXpN6hBL1Ay0LC4pDi6tfSpUM80sFaQLM3BzevglalNlsg4wYTET2kbmt7aXXvydL5B03mgMxjD4CXNL779jYRwOPMVeQu0E45s=", "id": "rs_0057b7b3374586c7016a07050fff988191906fc057c37e101b", "summary": [{"type": "summary_text", "text": "**Considering commit requirements**\n\nI need to ensure the status output is clean and only shows the hash. It might be a good idea to run tests after the commit, but first, I definitely want to compile and use pytest before committing. Then, I might need to track the runtime of C7 after the commit. Additionally, I should remember to mark any todos that are completed. Just keeping everything organized!"}]}], "tool_calls": [{"id": "call_nI6jh5J5q9oWkR55Dur7KRHe", "call_id": "call_nI6jh5J5q9oWkR55Dur7KRHe", "response_item_id": "fc_0057b7b3374586c7016a070513842481919cd6537965d16260", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"id\":\"c0\",\"content\":\"C0 Missing-FX-Alerts der 3 True-Wealth-Initial-Snapshots validieren und ggf. korrigieren\",\"status\":\"completed\"},{\"id\":\"c1\",\"content\":\"C1 FX-Rates Modul/CLI/Data-Quality mit Tests implementieren\",\"status\":\"completed\"},{\"id\":\"c2\",\"content\":\"C2 Instrument Price Mapping Modell/Audit/Data-Quality mit Tests implementieren\",\"status\":\"completed\"},{\"id\":\"c3\",\"content\":\"C3 Market Price Provider Skeleton/CLI/local storage/Data-Quality mit Tests implementieren\",\"status\":\"completed\"},{\"id\":\"c4c5\",\"content\":\"C4/C5 Equity Bewertung und Data Quality Center lokal erweitern\",\"status\":\"completed\"},{\"id\":\"c7\",\"content\":\"C7 Runtime-Recheck vorsichtig aggregiert ausführen\",\"status\":\"completed\"},{\"id\":\"c8\",\"content\":\"C8 Compile/pytest/Git-Safety/Git Status, Commit+Push\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-15T13:36:20.818783"}
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{"role": "assistant", "content": "Mein Herr, Phase C ist umgesetzt, produktiv vorsichtig gegen die Runtime-DB geprüft, committed und gepusht.\n\n## Ergebnis C0 — Missing-FX-Alerts validiert\n\nAggregiert für die importierten True-Wealth-Initial-Snapshots:\n\n- Importierte True-Wealth-Positionen: **3**\n- CHF-Positionen: **0**\n- Fremdwährungspositionen: **3**\n- Wirklich berechtigte `missing_fx` Alerts: **3**\n- False-positive `missing_fx` Alerts: **0**\n- Korrekturen nötig: **nein**\n- Audit-Logs für FX-Korrekturen: **0**, weil keine False-positives vorhanden waren\n- Keine echten Werte, Mengen oder Kontostände ausgegeben\n\nFachlich: Die `missing_fx` Alerts sind korrekt, da alle 3 Positionen Fremdwährung benötigen und noch keine historischen FX-Rates lokal vorhanden sind.\n\n## Implementierte Module\n\n- **FX Rates Modul**\n  - `fx_rates` Speicherung\n  - CHF/CHF = 1 / `not_needed`\n  - historische und latest FX-Rates vorbereitet\n  - Provider-Abstraktion\n  - Mock Provider\n  - CLI: `update-fx-rates`\n  - FX-Recheck für bestehende Transaktionen\n  - Manual Override mit Pflicht-Notiz und Audit\n\n- **Instrument Price Mapping**\n  - Neue Struktur `instrument_price_mappings`\n  - ISIN bleibt Instrument-Wahrheit\n  - Provider-Symbol ist nur Market-Data-Mapping\n  - Missing Provider Symbol Alerts\n  - Ticker ohne Exchange bleibt review-pflichtig\n  - manuelle Mapping-Bestätigung mit Audit\n\n- **Market Price Skeleton für Aktien/ETFs**\n  - lokale Speicherung in `market_prices`\n  - Provider-Abstraktion\n  - Mock Provider\n  - CLI: `update-market-prices`\n  - `only-missing`, `only-stale`, `only-isin`, `limit`, `dry-run`\n  - keine Live-API im Dashboard\n\n- **Bewertungslogik / Dashboard**\n  - Position vorhanden\n  - Preisstatus\n  - FX-Status\n  - Bewertungsstatus\n  - Data-Quality-Status\n  - Total Return bleibt `incomplete`, wenn FX/Preis/Cost-Basis unvollständig sind\n\n- **Data Quality Center erweitert**\n  - `missing_provider_symbol`\n  - `missing_market_price`\n  - `stale_market_price`\n  - `missing_fx`\n  - `stale_fx`\n  - `cost_basis_uncertain`\n  - `snapshot_only`\n  - `ambiguous_instrument_mapping`\n  - `price_currency_mismatch`\n  - Links/Aktionen vorbereitet, produktive Buttons bleiben deaktiviert\n\n## Produktiver vorsichtiger Lauf C7\n\n- True-Wealth-Positionen total: **3**\n- Positionen mit FX OK / not_needed: **0**\n- Positionen mit missing FX: **3**\n- Positionen mit Market Price OK: **0**\n- Positionen mit missing Market Price: **3**\n- Positionen mit vollständiger CHF-Bewertung: **0**\n- Market-Price-Update: **kein echter Provider-Call**, nur Dry-Run, da keine Provider-Mappings vorhanden\n- Keine weiteren Positionen importiert\n- Keine PostFinance-/Raiffeisen-/weitere True-Wealth-Daten importiert\n\nAktive Alerts nach Kategorie/Rule aggregiert:\n\n- `missing_fx`: **3**\n- `missing_market_price`: **3**\n- `missing_provider_symbol`: **3**\n- `snapshot_only`: **3**\n- `cost_basis_uncertain`: **3**\n\nDas ist der erwartete Zustand: sauber unvollständig statt pseudo-präzise. Langweilig, aber korrekt — also quasi das Schweizer Taschenmesser unter den Ergebnissen.\n\n## Tests / Safety\n\n- Compile: **OK**\n- Pytest: **169 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Runtime-Daten weiterhin außerhalb Git\n- Keine echten Finanzwerte/Mengen/Kontostände im Chat\n\n## Commit / Push\n\n- Commit: `5fa8fac`\n- Message: `feat: add fx and market data foundations`\n- Push auf `main`: **erfolgreich**\n\n## Geänderte / neue Dateien\n\n- `src/jarvis_finance/cli/main.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `src/jarvis_finance/fx/overrides.py`\n- `src/jarvis_finance/fx/providers.py`\n- `src/jarvis_finance/fx/rates.py`\n- `src/jarvis_finance/ledger/positions.py`\n- `src/jarvis_finance/market_data/mappings.py`\n- `src/jarvis_finance/market_data/prices.py`\n- `src/jarvis_finance/storage/migrations.py`\n- `tests/unit/test_fx_market_data_phase_c.py`\n- `tests/unit/test_schema.py`\n\n## Nächste Empfehlung\n\nAls nächstes kontrolliert:\n\n1. Für die 3 True-Wealth-Instrumente manuell Provider-Symbole bestätigen.\n2. Historische FX-Rates für die Snapshot-Daten ergänzen — per freigegebenem Provider oder Manual Override mit Audit.\n3. Danach Market-Price-Update gezielt nur für bestätigte Mappings ausführen.\n4. Erst danach Bewertung/CHF-Portfolioansicht ernsthaft nutzen.\n\nKeine weiteren Imports vor dieser Datenqualitätsbereinigung.", "reasoning": "**Clarifying currency sources**\n\nI'm realizing that if I'm missing something regarding foreign exchange (FX), I need to be cautious about citing source currencies. The user hasn’t asked for specific values or quantities, just currencies, so that's okay. In the final output, I could say something like \"historical FX rates for foreign currencies.\" I need to make sure I include any necessary warnings or errors, and structure the final response with headings and bullets for clarity.", "finish_reason": "stop", "reasoning_content": "**Clarifying currency sources**\n\nI'm realizing that if I'm missing something regarding foreign exchange (FX), I need to be cautious about citing source currencies. The user hasn’t asked for specific values or quantities, just currencies, so that's okay. In the final output, I could say something like \"historical FX rates for foreign currencies.\" I need to make sure I include any necessary warnings or errors, and structure the final response with headings and bullets for clarity.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqBwUfLdXs0_x2e2I4DVe1b75ejTguL-OOBs_9XsnIadSsKJz0oWGEcktbuqlGm_cdTSVD0e-2q5UeRA9JjtG2AbBWjQn8p8iN1Mhs5H_5YnZYqrBTilzoZPCAqM0mgXL8Ed2D4oF9_4TDBAXFZSiKfVdyuyh2ToCZj-CZkuKYNMWH00IXvXfqfdpjAhSFiqVuMZPeKn5I0SAEQ8B9J4BzbvgW7fbFcajU-YWfuVzNfitFn0oOkidT7xJk5ugH0n1T0_HXL_PMjy3NMpacfJWIPtLouSD2npsYF0WLnwwz1jPfS4iJWCwTSmD83VmGL07IJOuS2VbzTpQ_dpfIeEfTImoX0wZcxJq5mBjYUqm2tlyzt0676uSZh3C-R2MK6C39EjICAqBeQOCR_atSkmdySYnI7zY0cQzpQHtS0Ce8yX0jTLd626ga1pwQAzH7RNzfz1XbertqLUl8uZHz9u7tlWhe9-CM4rvDOmipW-oqeBV2b6r10abXBtRfYGWnisrwP1GJ1IRvdAcrOE73DtMRcD0VOh9-zwKeEfzeBGPF8t5I4DKxiXg1mui2Oaey-GkW3n6P2xCaIWu5xDRtbbyN2frKcX0Sz_-zRJR71GwZ_6VzFjVluvef_PnNN3YtsFebTtO7wHFejFCo1TM6_Iqpuy2kzuiB8fWbX3uJfLPJhXwu8BcFzzhDlYgYTBRakHsgbMz_VzqxOpe35QWtawuChsOWUkC-4TMO9HVUGamXOgz-7ngmkZYFod8b13GBO1CkMOPXRdvi5_LAHjSK2TRDbrtT4Dz1O2jYGCpH6cCzkoAgliAojSYDzcz3kDHuqjOuoQG_VGNpdZP89aAbUT-kfK0D7oTQq8MxaT4ymCsI1JSaJ88xnLT5x_5XEg7fIh8sTLv31RcBtil0PIp-gaUENeQaCwd3V7zmHKyVM9U9jX3CzEx3PijuMr03bVVLk2HmQljDxZZ8ENCdFwVvWuMeRjZI3-fUXxLo1KJx-CdGJavOqgEmPD0oaaW2PDcO0MQjBlddPnhWGHdRJCTP7F73d10WULKmhwhV_HsTcYxUEbaVjWQgJGsQfTnVgKf_K-SsGDeNYPErvaI6uLjCwEu1LUVgfTBUlEng2vuO9DPw4-NNcJOciXBYj-RgL1hHck20fx9kwacsnJxDd7BXveNyxgBwo4KKTBY2wkxM1aQr-IgyswEc4SrovjWgna30Q9hBps51xFRlfK7zOEGeCo-K1OG3ggzVI3MuGZGpCit2yvzdALlrLPVetkKAoF0zExAgNmOXZP47u7P87FkPWdUbRdbrCuKswwjeBzs-lDP8b5NpSkl48DesUV_mHBUa2SOGzSvbXxWm9rcOMk3mbcc7G9Krw0UM464cSZY_UWaGJj8HQZIB7P4W-DdkFYBaTlqqcISYZoBN92udAMjHVtNi4NFzitovqp88ZVTnNfChAkcFbTs2lGdTn21V98w9iFbD448NH6NrLtQYfTP-lL2LO5V-AZOI1uAIXWqMdGis3p6E3Dr5IP0XLklF1QTIQrFxfiyJdYahmL6l7CtB4ffCB4lQktSjR1iFWR94X9AyTYdvs7sEtrOXF8lAQgZBMQjCOL74RHGsbUUEQFBxQ1iPEo9lePcQJOz4iquypLW0lIU_8j5u0OfcH-sFhMHR3Ksjw4-jMDY6RY8wVwXgx4vl5u_K9m82mbs_UcbNfafEQZ3DAM-IMJzbnlWKbM7Ln3MMvdN2yogGI0X3YJH0N7i4Xt8yDjQfZJlQYHNHiYbTRGwRhLum7jLsKmCB764lRyjced0bcUKDCnBb1bErw8QRc8mqYbhJ_HrzXv9nx_GVqD5kxl3ego-tskR2_sh1OIGViecrwWCrfDdVkOiG305Z-KfA9XQNqSofoFaP9N_pwIEkz4idhZkpyuIF12aL-qMyOSrJYPukH670O195RmGtGxm8HaQdS1rSq1jBdWaXQ2lOBQe4W44oByf4oDQ4V5voTGsV0ijCS0szxCxb3wpvgez0KVVPWBwW3GmHe-pItiBySldTCwYV0DnEff_x_isv5ilJn-IqXVZCiXuk3eTWz2kWUseb1wdSpRyhTQTUvF89qLkfeRrdQ1U3hsJvNbb6mDpLd3-6Mup1OffiTvbUMlNYASR8QhXVcicB-g-7XGT-7PJSND51IquRrNvkHOmaMgSTIWqvqJ_gt_CoYhE3IdftEaOtzPVsxbFZNYahmYIaUnc6XPNNDshPMu2j4sRA0O1MtJbtfA6MtzvlzCXeIhqNRwEIm7mD0qJFw3Mqs2NMbtSBz88yJDUpfGrpcv5xnk2XI5iBqiElMCyUXAcw-7e1J3pFrRnRPXCx_HxQ2nKAChMGwvB1GQjNYmL9sGrJz4JnN4ORH3sg2AmJfhnlQOA6RBTr_6_IC5k6kFW_QJtQerSurOarHe7Cn9bmLjZBbTUbx7QFkIJ5-tZBl_MXJQQXgHwzBmmOxOnGsaexWTAARa_1VmAB2dkySms08TlmiZGqhECYJ9JBADRbDd36Q1owrqsMxKcDdBBp7GGB6MnytNxhZLsZYSI07a4BkjH4BRbuRpPtVUYgTdkgo7aFDolmxIPdrdm6vf5RJ6KtSLClMvgdqroLQR5TTayxn9Ij84XdWfGd54NNR1JjbMfTMIYI3_JrPm3n34q1ITx_Wldb2vbuGCDfud8j9oT-ucUuiynwuJJxOhPQZfE3EW0z7X9jqGrmqsBZo4KjiPWWEz_FsRHgijHHm4DFle4Nlc7gIoSppdib4eTKgz9Hf8rX3Eo3d-LB38wfxr3RPZc_NmUcNtBAGB3BMw6j2ido5P6bMAwA477pDgjUWleosMs-fC4JlQ==", "id": "rs_0134d7700e125cf0016a0705186d7481919034029ebc223ca6", "summary": [{"type": "summary_text", "text": "**Clarifying currency sources**\n\nI'm realizing that if I'm missing something regarding foreign exchange (FX), I need to be cautious about citing source currencies. The user hasn’t asked for specific values or quantities, just currencies, so that's okay. In the final output, I could say something like \"historical FX rates for foreign currencies.\" I need to make sure I include any necessary warnings or errors, and structure the final response with headings and bullets for clarity."}]}], "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Mein Herr, Phase C ist umgesetzt, produktiv vorsichtig gegen die Runtime-DB geprüft, committed und gepusht.\n\n## Ergebnis C0 — Missing-FX-Alerts validiert\n\nAggregiert für die importierten True-Wealth-Initial-Snapshots:\n\n- Importierte True-Wealth-Positionen: **3**\n- CHF-Positionen: **0**\n- Fremdwährungspositionen: **3**\n- Wirklich berechtigte `missing_fx` Alerts: **3**\n- False-positive `missing_fx` Alerts: **0**\n- Korrekturen nötig: **nein**\n- Audit-Logs für FX-Korrekturen: **0**, weil keine False-positives vorhanden waren\n- Keine echten Werte, Mengen oder Kontostände ausgegeben\n\nFachlich: Die `missing_fx` Alerts sind korrekt, da alle 3 Positionen Fremdwährung benötigen und noch keine historischen FX-Rates lokal vorhanden sind.\n\n## Implementierte Module\n\n- **FX Rates Modul**\n  - `fx_rates` Speicherung\n  - CHF/CHF = 1 / `not_needed`\n  - historische und latest FX-Rates vorbereitet\n  - Provider-Abstraktion\n  - Mock Provider\n  - CLI: `update-fx-rates`\n  - FX-Recheck für bestehende Transaktionen\n  - Manual Override mit Pflicht-Notiz und Audit\n\n- **Instrument Price Mapping**\n  - Neue Struktur `instrument_price_mappings`\n  - ISIN bleibt Instrument-Wahrheit\n  - Provider-Symbol ist nur Market-Data-Mapping\n  - Missing Provider Symbol Alerts\n  - Ticker ohne Exchange bleibt review-pflichtig\n  - manuelle Mapping-Bestätigung mit Audit\n\n- **Market Price Skeleton für Aktien/ETFs**\n  - lokale Speicherung in `market_prices`\n  - Provider-Abstraktion\n  - Mock Provider\n  - CLI: `update-market-prices`\n  - `only-missing`, `only-stale`, `only-isin`, `limit`, `dry-run`\n  - keine Live-API im Dashboard\n\n- **Bewertungslogik / Dashboard**\n  - Position vorhanden\n  - Preisstatus\n  - FX-Status\n  - Bewertungsstatus\n  - Data-Quality-Status\n  - Total Return bleibt `incomplete`, wenn FX/Preis/Cost-Basis unvollständig sind\n\n- **Data Quality Center erweitert**\n  - `missing_provider_symbol`\n  - `missing_market_price`\n  - `stale_market_price`\n  - `missing_fx`\n  - `stale_fx`\n  - `cost_basis_uncertain`\n  - `snapshot_only`\n  - `ambiguous_instrument_mapping`\n  - `price_currency_mismatch`\n  - Links/Aktionen vorbereitet, produktive Buttons bleiben deaktiviert\n\n## Produktiver vorsichtiger Lauf C7\n\n- True-Wealth-Positionen total: **3**\n- Positionen mit FX OK / not_needed: **0**\n- Positionen mit missing FX: **3**\n- Positionen mit Market Price OK: **0**\n- Positionen mit missing Market Price: **3**\n- Positionen mit vollständiger CHF-Bewertung: **0**\n- Market-Price-Update: **kein echter Provider-Call**, nur Dry-Run, da keine Provider-Mappings vorhanden\n- Keine weiteren Positionen importiert\n- Keine PostFinance-/Raiffeisen-/weitere True-Wealth-Daten importiert\n\nAktive Alerts nach Kategorie/Rule aggregiert:\n\n- `missing_fx`: **3**\n- `missing_market_price`: **3**\n- `missing_provider_symbol`: **3**\n- `snapshot_only`: **3**\n- `cost_basis_uncertain`: **3**\n\nDas ist der erwartete Zustand: sauber unvollständig statt pseudo-präzise. Langweilig, aber korrekt — also quasi das Schweizer Taschenmesser unter den Ergebnissen.\n\n## Tests / Safety\n\n- Compile: **OK**\n- Pytest: **169 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- Git Status: **clean**\n- Runtime-Daten weiterhin außerhalb Git\n- Keine echten Finanzwerte/Mengen/Kontostände im Chat\n\n## Commit / Push\n\n- Commit: `5fa8fac`\n- Message: `feat: add fx and market data foundations`\n- Push auf `main`: **erfolgreich**\n\n## Geänderte / neue Dateien\n\n- `src/jarvis_finance/cli/main.py`\n- `src/jarvis_finance/dashboard/data.py`\n- `src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py`\n- `src/jarvis_finance/fx/overrides.py`\n- `src/jarvis_finance/fx/providers.py`\n- `src/jarvis_finance/fx/rates.py`\n- `src/jarvis_finance/ledger/positions.py`\n- `src/jarvis_finance/market_data/mappings.py`\n- `src/jarvis_finance/market_data/prices.py`\n- `src/jarvis_finance/storage/migrations.py`\n- `tests/unit/test_fx_market_data_phase_c.py`\n- `tests/unit/test_schema.py`\n\n## Nächste Empfehlung\n\nAls nächstes kontrolliert:\n\n1. Für die 3 True-Wealth-Instrumente manuell Provider-Symbole bestätigen.\n2. Historische FX-Rates für die Snapshot-Daten ergänzen — per freigegebenem Provider oder Manual Override mit Audit.\n3. Danach Market-Price-Update gezielt nur für bestätigte Mappings ausführen.\n4. Erst danach Bewertung/CHF-Portfolioansicht ernsthaft nutzen.\n\nKeine weiteren Imports vor dieser Datenqualitätsbereinigung."}], "id": "msg_0134d7700e125cf0016a07051f941c81919843a6b35146de98", "phase": "final_answer"}], "timestamp": "2026-05-15T13:36:20.818783"}