[M G] Danke. Der Crypto Price Update MVP ist akzeptiert.

Die Umsetzung ist grundsätzlich sinnvoll:

* lokaler Preis-Cache
* kein Live-API-Call im Dashboard/Report
* 429-Handling
* Git-Safety sauber
* Tests grün
* Runtime-Daten außerhalb Git

Allerdings 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.

Aktueller Stand:

* Commit 3aa67d8 ist akzeptiert.
* Preisupdate funktioniert technisch.
* Aber nur 6 von 20 aktiven Crypto Assets hatten frische CHF-Preise.
* 14 Assets hatten Warnings/Stale/Provider-Limit-Themen.
* BTC-Test wurde noch nicht abgeschlossen.
* Equity/ETF Manage UI wurde noch nicht begonnen.

Bitte jetzt wie folgt weiterfahren:

## Teil 1: Crypto Price Update robuster machen

Bitte verbessere zuerst den Preisupdate-Mechanismus, bevor wir echte Reports mit Preisen ernsthaft nutzen.

Ziel:
Möglichst alle vorhandenen Crypto Assets mit CoinGecko-ID sollen lokale CHF-Preise erhalten, ohne Dashboard-Live-API und ohne Rate-Limit-Crash.

Bitte implementiere:

1. Batch-Abfrage prüfen/umsetzen

* Wenn CoinGecko mehrere IDs in einem Request unterstützt, bitte nutzen.
* Dadurch weniger API-Calls.
* Kein Abruf pro Coin, falls Batch möglich ist.

2. Konservatives Throttling

* Pause zwischen Requests
* konfigurierbar:

  * --sleep-seconds
  * --max-retries
  * --initial-backoff
  * --max-backoff

3. CLI-Optionen ergänzen
   Bitte vorbereiten/implementieren:

* --only-missing
* --only-stale
* --only-symbol SYMBOL
* --limit N
* --dry-run
* --currency CHF

4. Bessere Summary
   Bitte nach Update nur aggregiert ausgeben:

* total assets
* updated
* cached
* skipped
* stale
* warnings
* errors
* assets still missing local price
* keine echten Mengen/Werte

5. Data Quality

* Für Assets ohne frischen Preis Data-Quality-Alert erzeugen oder aktualisieren.
* Alert-Dedupe respektieren.
* Keine Alert-Flut.

6. Tests
   Bitte Tests ergänzen für:

* Batch-Request
* --only-missing
* --only-stale
* --only-symbol
* --limit
* --dry-run
* Rate-Limit mit Backoff
* Alert-Dedupe bei fehlenden Preisen

Danach bitte produktiv gegen Runtime-DB nochmals ausführen, aber vorsichtig und ohne echte Werte im Chat.

Bitte berichten:

* Anzahl Assets total
* Anzahl Assets mit frischem CHF-Preis
* Anzahl weiterhin ohne frischen Preis
* Anzahl Warnings/Errors
* keine Preise/Werte/Mengen ausgeben

## Teil 2: BTC-Test nachholen

Danach bitte den BTC-Test wie zuletzt entschieden nachholen:

Option A:
BTC mit allen BTC-Wallet-Holdings aus Excel importieren.

Bedingungen:

* Nur Bitcoin BTC
* Coin-Name: Bitcoin
* Symbol: BTC
* CoinGecko-ID: bitcoin
* Mapping-Status: selected
* Snapshot-Datum: 31.12.2025
* Alle BTC-Wallet-Holdings aus der echten Excel-Datei übernehmen
* Pro BTC-Wallet mit Bestand genau eine initial_snapshot_addition bzw. initial_snapshot-Holding erzeugen
* Mengen exakt als Decimal/Text übernehmen
* Keine Float-Konvertierung
* Keine echten Mengen/Werte im Chat
* Keine anderen Coins importieren
* Audit-Log Pflicht
* Keine doppelte Holding für asset_id + wallet_id
* Legacy-CHF-Werte ignorieren
* Git-Safety vor/nachher prüfen

Bericht nur aggregiert:

* BTC-Test durchgeführt: ja/nein
* Anzahl BTC-Wallet-Holdings importiert
* Asset-Anzahl erhöht: ja/nein
* Holding-Anzahl erhöht: ja/nein
* Audit-Logs erstellt: ja/nein
* Doppelte Holdings: ja/nein
* Fehler/Warnings
* Git-Safety Ergebnis
* Git Status

## Teil 3: Danach Equity/ETF Manage UI

Erst wenn Teil 1 und Teil 2 sauber sind, bitte mit der Equity/ETF Manage UI beginnen.

Ziel:
Aktien und ETFs aus PostFinance, True Wealth und Raiffeisen später im Dashboard erfassen, korrigieren und als Initial Snapshot übernehmen können — auditierbar und ohne stilles Überschreiben.

Grundlogik:

* Für Aktien/ETFs ist ISIN die primäre Identifikation.
* Ticker und Exchange sind Zusatzinformationen.
* Positionen werden über initial_position_snapshot, buy, sell, dividend, fee oder manual_adjustment abgebildet.
* Jede Änderung braucht
Audit-Log.
* Fremdwährungen USD/EUR brauchen FX-Kurs und CHF-Gegenwert.
* Keine Scheingenauigkeit, wenn Kaufhistorie, Gebühren oder historische FX fehlen.
* Erst mit synthetischen Daten und Dummy-Depots bauen.
* Keine echten PostFinance-/TrueWealth-/Raiffeisen-Daten importieren.

Bitte vormerken für die Equity/ETF Manage UI:

* Aktie/ETF als Initial Snapshot hinzufügen
* Buy
* Partial Sell
* Full Sell
* Dividend
* ETF Distribution
* Fee
* Manual Adjustment
* ISIN Pflicht oder stark empfohlen
* ISIN/Ticker dürfen nicht beide leer sein
* Währung Pflicht
* Depot/Konto Pflicht
* FX bei Fremdwährung
* Audit-Log Pflicht
* Notiz Pflicht bei manual_adjustment oder unvollständiger Historie

## Weitere Funktionsmodule bitte vormerken, aber noch nicht bauen

Bitte für später als Backlog vormerken:

1. Portfolio Health Seite

* Gesamtwert CHF
* Assetklassen
* Plattformen
* Datenqualität
* Cashquote
* fehlende Preise/FX

2. Reconciliation / Abgleich-Seite

* Dashboard-Bestand vs. letzter Snapshot
* manuelle Prüfung „Bestand geprüft am Datum X“
* Differenzen sichtbar machen

3. Data Quality Center

* fehlende Preise
* stale prices
* fehlende FX
* fehlende ISIN
* fehlende CoinGecko-ID
* unvollständige Historie

4. Manual Review Queue

* ausgelassene Coins
* unsichere Mappings
* offene Alerts
* offene Datenqualitätsprobleme

5. Backup / Restore

* Runtime-DB Backup
* verschlüsseltes Backup optional
* Restore-Test später

6. Safe Mode / Read-only Mode

* Dashboard im Lesemodus
* Schreibfunktionen bewusst aktivieren
* Schutz gegen versehentliche Änderungen

Bitte jetzt zuerst Teil 1 umsetzen, dann Teil 2, dann Teil 3. Keine echten Aktien-/ETF-Daten importieren.


Explanation:
**Inspecting repository for finance skills**

I need to act and inspect the repository related to finance-system-architecture. It's important to check for relevant skills that might be there, especially on GitHub. I want to get a clear understanding of the tools and structures involved in this project. Loading the repository should help me gather the details I need. Let's figure this out!


[skill_view] name=finance-system-architecture (21,972 chars)


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[M G] Sehr gut. Phase C ist akzeptiert.

Der Stand ist sauber:

* FX-/Market-Data-Grundlagen implementiert
* Missing-FX-Alerts korrekt validiert
* Instrument Price Mapping vorbereitet
* Market Price Provider Skeleton vorhanden
* Dashboard zeigt Preis-/FX-/Bewertungsstatus
* Data Quality Center erweitert
* Tests: 169 passed
* Git-Safety: OK
* Commit 5fa8fac gepusht
* keine echten Werte/Mengen/Kontostände im Chat

Die aktuelle Datenqualität ist korrekt als unvollständig markiert:

* missing_fx: 3
* missing_market_price: 3
* missing_provider_symbol: 3
* snapshot_only: 3
* cost_basis_uncertain: 3

Bitte jetzt keine weiteren Positionen importieren und noch keine Heatmaps, Scores, Rebalancing, Backtests oder Monte-Carlo-Module bauen.

Der nächste Schritt ist:

# Phase C2 — True-Wealth Valuation Pilot

Ziel:
Die 3 bereits importierten True-Wealth-Initial-Snapshot-Positionen sollen so weit wie möglich bewertbar gemacht werden — mit Provider-Symbolen, historischen FX-Kursen und lokalen Marktpreisen.

Weiterhin gilt:

* keine weiteren Aktien-/ETF-Imports
* keine PostFinance-/Raiffeisen-Imports
* keine echten Werte/Mengen im Chat
* keine echten Dateien ins Git
* Dashboard liest nur lokale DB
* keine Live-API im Dashboard

## 0. Zusätzliche Bewertungsrisiken zwingend berücksichtigen

Bitte beachte in Phase C2 zusätzlich folgende methodische Risiken, damit das System keine falsche Bewertungslogik aufbaut.

### 0.1 CHF-Hedged ETFs / Währungsgesicherte ETFs

True Wealth kann CHF-hedged ETFs enthalten.

Problem:
Wenn ein ETF intern währungsgesichert ist, darf das System nicht blind USD/CHF- oder EUR/CHF-Effekte als freie FX-Performance in den Total Return einrechnen. Sonst wird die Performance falsch zerlegt.

Bitte erweitere das Instrument-/Price-Mapping oder Instrument-Metadatenmodell um Felder wie:

* is_currency_hedged
* hedged_to_currency, z.B. CHF
* hedge_status: hedged, unhedged, unknown
* optional base_exposure_currency
* optional trading_currency

Regeln:

* Wenn is_currency_hedged = true und hedged_to_currency = CHF, darf die Performance-Logik keine einfache freie FX-Verschiebung als Total-Return-Komponente ausweisen.
* Der Kurs kann weiterhin in Handelswährung vorliegen, aber FX-PnL muss methodisch markiert werden.
* Falls Hedge-Status unbekannt ist, muss hedge_status = unknown gesetzt und eine Data-Quality-Warnung erzeugt werden.
* Dashboard soll zeigen: Currency hedge: yes/no/unknown.
* Kein automatisches Hedged-Mapping nur aufgrund des Namens, außer es ist klar im Instrumentnamen/ISIN/Provider-Daten erkennbar und als review-pflichtig markiert.
* Manuelle Bestätigung des Hedge-Status erzeugt Audit-Log.

### 0.2 Timestamp-Alignment zwischen Market Price und FX

Problem:
Ein US-ETF kann zu einem anderen Zeitpunkt bewertet werden als der verwendete FX-Kurs. Wenn price_timestamp und fx_timestamp zu weit auseinanderliegen, entsteht eine ungenaue CHF-Bewertung.

Bitte implementiere oder vorbereite:

* valuation_timestamp_status

  * aligned
  * acceptable
  * stale_mismatch
  * missing_timestamp
* konfigurierbares Toleranzfenster, z.B. max_price_fx_time_delta_hours = 24
* wenn Preis- und FX-Zeitstempel zu weit auseinanderliegen:

  * kein harter Crash
  * Bewertung als warning markieren
  * Alert: stale_valuation
  * Dashboard-Hinweis: Preis-/FX-Zeitstempel nicht sauber synchron

Regeln:

* Bei EOD-Daten reicht im MVP ein Tagesvergleich oder 24h-Toleranz.
* Bei Intraday-Daten muss später genauer geprüft werden.
* Keine Scheingenauigkeit bei mismatched price/fx timestamps.

### 0.3 Corporate Actions / Splits / Zeitreise-Bug

Problem:
Die True-Wealth-Positionen stammen aus einem historischen Snapshot. Wenn zwischen snapshot_date und price_date ein Split, Reverse Split, Merger oder ETF-Migration passiert ist, kann alte Menge × neuer Preis grob falsch sein.

Bitte implementiere oder vorbereite Data-Quality-Erkennung:

* Alert/Flag: corporate_action_suspected
* Flag: split_or_corporate_action_review_required
* optional corporate_action_status

  * none_known
  * suspected
  * confirmed
  * adjusted
d
  * ignored

Heuristik MVP:

* Wenn ein Preis eines Instruments gegenüber dem vorherigen lokalen Preis oder gegenüber einer historischen Referenz unrealistisch stark fällt/steigt, z.B. >25 % an einem Tag, dann:

  * keine automatische Bewertung mit hoher Konfidenz
  * Data-Quality-Warnung erzeugen
  * manuelle Prüfung verlangen
* Wenn keine historischen Preise vorhanden sind, zumindest Flag vorbereiten und Corporate-Action-Status auf unknown oder not_checked setzen.

Wichtig:

* Keine automatische Split-Korrektur im MVP.
* Nur erkennen/markieren.
* Dashboard soll den Status sichtbar machen.
* Keine falsche Performanceberechnung über Corporate Actions hinweg.

### 0.4 Historische FX API Paywall / Fallback

Problem:
Historische FX-Daten sind bei vielen APIs kostenpflichtig oder eingeschränkt. Falls ein API-Call für historische FX mit 403, Paywall, Rate Limit oder fehlender Verfügbarkeit scheitert, darf der Prozess nicht blockieren.

Bitte implementiere:

* Fehlerstatus manual_override_required
* fx_source = manual_override_required
* Alert: historical_fx_unavailable
* Position bleibt partially_valuable
* Import/Valuation läuft weiter, aber markiert unvollständig
* CLI-Hinweis, dass historischer FX manuell nachgetragen werden kann

Regeln:

* Kein harter Import-/Valuation-Abbruch bei fehlender historischer FX.
* Kein Erraten historischer FX-Werte.
* Kein Verwenden von latest FX als historischer Snapshot-FX ohne klaren Hinweis und manuelle Bestätigung.
* Manuelle FX-Erfassung bleibt erlaubt, aber nur mit Notiz und Audit-Log.

### 0.5 Delisted / Suspended / Dead Assets

Problem:
Ein Instrument kann delisted, fusioniert, ausgesetzt oder nicht mehr handelbar sein. Das System darf dann nicht täglich sinnlos neue Missing-Price-Alerts erzeugen.

Bitte erweitere Instrument-/Mapping-Status um:

* instrument_status

  * active
  * delisted
  * suspended
  * merged
  * inactive
  * unknown
* optional valuation_policy

  * live_price
  * last_known_price
  * manual_value
  * exclude_from_auto_price_update

Regeln:

* delisted oder suspended wird vom automatischen Preisabruf ausgeschlossen.
* Dashboard zeigt klar: Preis eingefroren / manuelle Bewertung nötig.
* Letzter bekannter Preis darf als last_known_price angezeigt werden, aber mit Warnung.
* Missing-Price-Alerts dürfen nicht täglich neu erzeugt werden, wenn Asset bewusst als delisted/suspended markiert ist.
* Statusänderung braucht Audit-Log.
* Kein automatisches Delisting-Raten ohne Prüfung; nur Provider-Fehler können suspected_inactive erzeugen.

## 1. Provider-Symbol-Mapping für die 3 True-Wealth-Instrumente

Bitte erstelle eine kontrollierte Mapping-Ansicht oder Runtime-Review-Struktur für die 3 importierten True-Wealth-Instrumente.

Pro Instrument intern prüfen:

* instrument_id
* ISIN
* Name
* Ticker, falls vorhanden
* Exchange, falls vorhanden
* Währung
* Provider-Symbol vorhanden: ja/nein
* Hedge-Status:

  * hedged
  * unhedged
  * unknown
* Instrument Status:

  * active
  * delisted
  * suspended
  * merged
  * inactive
  * unknown
* Mapping-Status:

  * mapped
  * needs_manual_review
  * missing_provider_symbol
  * ambiguous

Wichtig:

* ISIN bleibt die Instrument-Wahrheit.
* Provider-Symbol ist nur für Kursdaten.
* Kein automatisches Mapping nur über Namen.
* Wenn Provider-Symbol nicht sicher ist, bitte Review Item erzeugen.
* Hedge-Status nicht raten.
* Keine echten Werte/Mengen im Chat.

Bitte berichte nur aggregiert:

* Anzahl Instrumente geprüft
* Anzahl mit Provider-Symbol
* Anzahl missing_provider_symbol
* Anzahl ambiguous
* Anzahl Hedge-Status known/unknown
* Anzahl Instrument-Status active/unknown
* Anzahl manuelle Bestätigung nötig

## 2. Manuelles Provider-Symbol- und Instrument-Metadaten-Mapping ermöglichen

Bitte im Dashboard oder in der Review Queue ermöglichen:

* Provider auswählen
* Provider-Symbol eintragen
* Exchange eintragen
* Währung bestätigen
* Hedge-Status bestätigen
* Hedged-to Currency bestätigen, falls hedged
* Instrument-Status bestätigen: active / suspended / delisted / merged / inactive / unknown
* Valuation Poli
cy bestätigen:

  * live_price
  * last_known_price
  * manual_value
  * exclude_from_auto_price_update
* Mapping bestätigen
* Audit-Log schreiben
* Data-Quality-Alerts aktualisieren/resolven, wenn Mapping vollständig ist

Für diesen Block:

* Mapping-Aktion darf Runtime-Metadaten schreiben.
* Keine produktive Portfolio-Position schreiben.
* Keine Transaktionsänderung.

## 3. FX-Behandlung für die 3 True-Wealth-Positionen

Bitte für die 3 importierten Positionen prüfen:

* currency_original
* snapshot_date
* benötigte FX-Paare zu CHF
* existiert FX-Rate?
* ist ETF/Instrument CHF-hedged?
* falls nein: missing_fx bleibt korrekt
* falls CHF-hedged: FX-Behandlung methodisch markieren, nicht blind freien FX-PnL ausweisen

Bitte zwei Wege vorbereiten:

A. Automatischer FX-Provider

* Provider-Abstraktion nutzen
* historische FX-Rates für Snapshot-Datum holen
* lokal in fx_rates speichern
* kein Live-API im Dashboard
* Rate-Limit/Backoff beachten
* Paywall/403/Rate-Limit-Fehler führen zu manual_override_required, nicht Crash

B. Manueller FX-Override

* falls kein Provider konfiguriert ist oder historische Daten nicht verfügbar sind
* FX manuell eintragbar
* Notiz Pflicht
* Audit-Log Pflicht
* fx_source = manual_override
* klar im Dashboard markieren

Bitte für diesen Schritt nicht raten. Wenn kein freigegebener FX-Provider/API-Key vorhanden ist, bitte nur die manuelle Override-Maske vorbereiten und missing_fx beziehungsweise manual_override_required bestehen lassen.

## 4. Market-Price-Update für die 3 True-Wealth-Positionen

Sobald Provider-Symbole vorhanden sind:

* Market Price nur für diese 3 Instrumente abrufen oder per Mock/Dry Run prüfen
* lokale Speicherung in market_prices
* keine Live-API im Dashboard
* Missing/Stale Alerts aktualisieren
* Alert-Dedupe respektieren
* keine Preise im Chat
* Delisted/suspended/exclude_from_auto_price_update Instrumente nicht abrufen
* Falls Preisprovider wiederholt keine Daten liefert:

  * nicht täglich neue Alerts erzeugen
  * instrument_status = suspected_inactive oder Review-Flag vorbereiten
  * Manual Review Queue Item erzeugen

CLI soll funktionieren:

* finance update-market-prices --only-isin <ISIN>
* finance update-market-prices --limit 3
* finance update-market-prices --dry-run

Bitte berichten nur aggregiert:

* Positionen total
* Instrumente mit Provider-Symbol
* Instrumente mit lokalem Preis
* Instrumente ohne Preis
* Instrumente excluded/delisted/suspended
* aktive missing_market_price Alerts vorher/nachher
* keine Preise/Werte/Mengen

## 5. Valuation Status für die 3 Positionen

Bitte die Positionen danach klassifizieren:

* not_valuable
* partially_valuable
* valuable

Definition:

valuable nur wenn:

* quantity vorhanden
* instrument vorhanden
* market price vorhanden
* FX vorhanden oder not_needed / methodisch sauber bei hedged
* price/fx timestamps aligned oder acceptable
* keine blockierenden Quality Flags für Bewertung
* instrument_status active oder bewusst mit valuation_policy bewertet

partially_valuable wenn:

* Bestand vorhanden
* aber FX, Market Price, Hedge Status, Timestamp Alignment oder Cost Basis unvollständig/unsicher ist

not_valuable wenn:

* Quantity, Instrument oder Account fehlt
* Instrumentstatus Bewertung ausschließt
* Provider-Mapping fehlt und kein Manual Value vorhanden ist

Wichtig:
Auch wenn Marktwert berechnet werden kann, bleibt historische Performance unvollständig, solange cost_basis_uncertain und snapshot_only gelten.

Bitte keine Scheingenauigkeit:

* Total Return nur anzeigen, wenn methodisch sauber.
* Sonst klar „unvollständig“ / warning.

## 6. Dashboard-Erweiterung

Bitte Equity/Portfolio-Seite so erweitern, dass für jede Position sichtbar ist:

* Instrument vorhanden
* Provider-Symbol-Status
* Hedge-Status
* Instrument-Status
* FX-Status
* Market-Price-Status
* Price/FX Timestamp Alignment Status
* Corporate-Action-Status
* Valuation Policy
* Valuation Status
* Data-Quality Flags
* Snapshot-only Hinweis
* Cost-Basis-Unsicherheit

Keine echten Werte im Chat. In der Runtime-UI dürfen Werte angezeigt
werden.

## 7. Data Quality Center

Bitte Data Quality Center aktualisieren:

* missing_provider_symbol
* missing_market_price
* stale_market_price
* missing_fx
* historical_fx_unavailable
* manual_override_required
* stale_fx
* stale_valuation
* cost_basis_uncertain
* snapshot_only
* missing_isin
* ambiguous_instrument_mapping
* price_currency_mismatch
* hedge_status_unknown
* corporate_action_suspected
* split_or_corporate_action_review_required
* delisted_or_suspended

Aktionen:

* Recheck
* Resolve Fixed Alerts
* Link zu Provider-Symbol-Mapping
* Link zu FX-Override / FX-Provider
* Link zu Instrument Status Review
* Link zu Hedge Status Review

Produktive Import-Buttons bleiben deaktiviert.

## 8. Tests

Bitte Tests ergänzen für:

Provider Symbol:

* Provider-Symbol fehlt → Alert
* Provider-Symbol Mapping bestätigt → Audit
* Missing Provider Symbol Alert wird resolved

Hedge:

* Hedge-Status unknown erzeugt Warning
* CHF-hedged Instrument wird nicht wie unhedged FX-PnL behandelt
* Hedge-Status Änderung erzeugt Audit

FX:

* FX missing bleibt aktiv ohne FX-Rate
* FX Rate vorhanden → missing_fx resolved
* Historical FX API 403/Paywall → manual_override_required, kein Crash
* Manual FX Override braucht Notiz und Audit

Market Price:

* Market Price vorhanden → missing_market_price resolved
* Delisted/suspended Instrument wird nicht automatisch abgefragt
* Last-known-price Policy erzeugt Warning, aber keine Alert-Flut

Timestamp:

* Price/FX timestamps aligned → OK
* Price/FX timestamps zu weit auseinander → stale_valuation Alert

Corporate Actions:

* Preisbewegung >25 % zwischen lokalen Preisen erzeugt corporate_action_suspected
* keine automatische Split-Korrektur im MVP

Valuation:

* Valuation Status not_valuable / partially_valuable / valuable
* Total Return bleibt unvollständig bei snapshot_only / cost_basis_uncertain
* Dashboard zeigt Status ohne Live-API
* Git-Safety OK

## 9. Produktiver vorsichtiger Lauf

Bitte gegen Runtime-DB ausführen:

* Provider-Symbol-Status prüfen
* Hedge-Status prüfen
* Instrument-Status prüfen
* FX-Status prüfen
* Market-Price-Status prüfen
* Timestamp-Alignment prüfen, soweit Daten vorhanden
* Corporate-Action-Status prüfen, soweit Daten vorhanden
* keine Massen-API
* keine weiteren Imports

Wenn keine Provider-Symbole vorhanden sind:

* nicht raten
* Mapping-Review vorbereiten
* Status bleibt missing_provider_symbol

Wenn Provider-Symbole vorhanden oder bestätigt sind:

* gezieltes Market-Price-Update für diese 3 Instrumente
* keine Preise im Chat

## 10. Nach Abschluss

Bitte ausführen:

* Compile
* pytest
* Git-Safety
* Git Status

Wenn Code geändert wurde:

* Commit
* Push

Bitte berichten:

* implementierte Module
* neue/geänderte Dateien
* Tests
* Testergebnis
* Git-Safety
* Commit Hash
* Push Status
* True-Wealth-Positionen total
* Provider-Symbol-Status aggregiert
* Hedge-Status aggregiert
* Instrument-Status aggregiert
* FX-Status aggregiert
* Market-Price-Status aggregiert
* Timestamp-Alignment-Status aggregiert
* Corporate-Action-Status aggregiert
* Valuation-Status aggregiert
* aktive Alerts nachher
* nächste Empfehlung

Keine echten Mengen, Preise, Werte, Kontostände oder sensitiven Inhalte im Chat.


Explanation:
**Planning next steps**

I need to act on the current request. It looks like I already have the relevant skills loaded, including finance, TDD, and GitHub. I should inspect the task at hand and then create a to-do list to keep everything organized. It feels like I might be getting ahead of myself if I don't clarify the steps, but I'll take it one thing at a time to make sure I cover everything!

todo

Phase C2 repo/runtime context prüfen und Safety-Baseline erfassen

Instrument-Metadaten/Hedge/Status/Valuation-Policy Modell + Migration implementieren

Provider-Mapping/Review/FX/Market-Price Logik um C2-Risiken erweitern

Valuation Status, Timestamp Alignment, Corporate-Action Flags und Dashboard/Data Quality Center erweitern

Tests für Phase C2 ergänzen und ausführen

Produktiven vorsichtigen Runtime-Recheck aggregiert ausführen

Compile, pytest, Git-Safety, Commit und Push


[todo] updated task list


terminal

git status --short && git rev-parse --short HEAD && git branch --show-current


Output:
5fa8fac
main


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 1 (13,267 chars)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/mappings.py from line 1 (6,493 chars)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py from line 1 (9,530 chars)


Explanation:
**Implementing Migration Changes**

I need to focus on implementing sizable changes in the code. It’s important to ensure that I carefully inspect the remaining migrations and schema instruments, especially the columns. I want to make sure everything aligns and operates smoothly. Taking time to look through these details will help avoid any issues later on, so I’ll be thorough in my approach. It’s about getting everything just right!

CREATE TABLE IF NOT EXISTS instruments|CREATE TABLE instruments


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 260 (5,939 chars)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py from line 1 (12,994 chars)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py from line 1 (12,184 chars)


[search_files] content search for 'instruments' in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py -> 10 matches


Explanation:
**Planning Python tests**

I'm thinking about the next steps for my project. I need to check the schema in a single line format. I plan to use Python's inspect PRAGMA right after running migrations. Creating modules is on the list too. And, of course, I need to set up tests; I might use the current helper for that. Finally, I'll read through the test file to make sure everything aligns. Let's keep it organized!


[read_file] read /home/agent/.hermes/repos/FinanceManager/tests/unit/test_fx_market_data_phase_c.py from line 1 (11,402 chars)


Explanation:
**Considering code execution for migrations**

I think I might need to use code execution to speed up the writing of modules. My plan includes adding columns for migrations like instruments, is_currency_hedged, hedged_to_currency, and hedge_status with a default value of "unknown". I’ll also include base_exposure_currency, trading_currency, instrument_status as "unknown", and valuation_policy as "live_price", among others. I wonder if the existing fx_rates already have provider_timestamp? I should inspect that to confirm.

PYTHONPATH=src python - <<'PY'
from jarvis_finance.storage.database import connect_memory
from jarvis_finance.storage.migrations import apply_migrations
conn=connect_memory(); apply_migrations(conn)
for t in ['instruments','fx_rates','market_prices','transactions','positions_snapshot']:
 print('\n',t)
 for r in conn.execute(f'PRAGMA table_info({t})'):
  print(r['name'], r['type'])
PY


[terminal] ran `PYTHONPATH=src python - <<'PY'
from jarvis_finance.storage.database import co...` -> exit 0, 1 lines output


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py from line 1 (13,503 chars)


Explanation:
**Implementing code updates**

I'm figuring out the next steps for my implementation. I could use a `write_file` function for the full modules while ensuring we preserve the tests. I think I need to write a Python script to apply the patch and might need the Position attributes as well. It’s essential to audit the updates in the metadata, while also creating `market_data/instruments.py` and extending the mappings. Finally, I’ll need to patch the migrations too.

patch

MIGRATION_VERSION = 9
MIGRATION_NAME = "009_fx_market_data_phase_c"

MIGRATION_VERSION = 10
MIGRATION_NAME = "010_true_wealth_valuation_pilot"


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (848 chars result)


    "benchmark": "TEXT",
    "is_currency_hedged": "INTEGER NOT NULL DEFAULT 0",
    "hedged_to_currency": "TEXT",
    "hedge_status": "TEXT NOT NULL DEFAULT 'unknown'",
    "base_exposure_currency": ...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (1,045 chars result)


    _add_missing_columns(conn, "market_prices", {
        "provider_market": "TEXT",
        "error_message": "TEXT",
        "corporate_action_status": "TEXT NOT NULL DEFAULT 'not_checked'",
    })
 ...[truncated]

    _add_missing_columns(conn, "market_prices", {
        "provider_market": "TEXT",
        "error_message": "TEXT",
    })


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (1,494 chars result)


Write instruments module.

Write instruments module.

from __future__ import annotations

from dataclasses import dataclass, field
from sqlite3 import Connection

from jarvis_finance.audit.log import record_audit_event
from jarvis_finance.imports.common ...[truncated]


from __future__ import annotations

from dataclasses import dataclass, field
from decimal import Decimal
from sqlite3 import Connection
from typing import Protocol

from jarvis_finance.imports.common ...[truncated]


from __future__ import annotations

from decimal import Decimal

class HistoricalFxUnavailable(RuntimeError):
    def __init__(self, message: str, *, status: str = "manual_override_required") -> None...[truncated]


[write_file] wrote to /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/providers.py (25 lines)


            rate = provider.get_rate(cur, "CHF", None if latest else rate_date)
        except Exception as exc:
            status = getattr(exc, "status", "manual_override_required")
            if ...[truncated]

        rate = provider.get_rate(cur, "CHF", None if latest else rate_date)
        if rate is None:


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py (2,655 chars result)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py from line 240 (3,571 chars)


        if missing_only and latest_fx_rate(conn, base_currency=cur, quote_currency="CHF", rate_date=rate_date):
            result.cached_count += 1
            continue
        try:
            rate ...[truncated]

        if missing_only and latest_fx_rate(conn, base_currency=cur, quote_currency="CHF", rate_date=rate_date):
            result.cached_count += 1
            continue
            rate = provider.ge...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py (925 chars result)


Explanation:
**Defining upsert function**

I need to define `upsert_fx_unavailable` before I can proceed with the update. It seems crucial for the process, but I'm not entirely sure how to structure it right now. I'll have to consider its parameters and what it should perform during the update. Should I focus on its returns or any potential errors? I want to get this right, so I’m thinking through all the aspects carefully.

def upsert_fx_unavailable(
    conn: Connection,
    *,
    base_currency: str,
    quote_currency: str,
    rate_date: str,
    provider: str,
    error_status: str = "manual_override_required",
    ...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py (1,664 chars result)


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/overrides.py from line 1 (1,712 chars)


from jarvis_finance.fx.rates import _transaction_instruments_for_currency, upsert_fx_rate
from jarvis_finance.market_data.instruments import resolve_instrument_alerts

from jarvis_finance.fx.rates import upsert_fx_rate


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/overrides.py (705 chars result)


    for inst_id in _transaction_instruments_for_currency(conn, base_currency):
        resolve_instrument_alerts(conn, instrument_id=inst_id, rule_ids=["missing_fx", "historical_fx_unavailable", "manual_override_required"])
    conn.commit()


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/overrides.py (695 chars result)


Explanation:
**Clarifying ledger positions**

I need to extend the ledger positions, focusing on easier rewrites that align with timestamps. I’ll parse the ISO and make sure to include the position fields. I should use market select for price_timestamp since latest_fx gives rate_timestamp. Also, it’s essential to add valuation_status and ensure the instrument is accounted for. If there's a missing provider symbol, the valuation won't be valuable without proper mapping, so I’ll work on patching that up.

from dataclasses import dataclass, field
from datetime import datetime
from decimal import Decimal, ROUND_HALF_UP

from dataclasses import dataclass, field
from decimal import Decimal, ROUND_HALF_UP


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (559 chars result)


    data_quality_status: str = "ok"
    valuation_status: str = "not_valuable"
    valuation_timestamp_status: str = "missing_timestamp"
    hedge_status: str = "unknown"
    instrument_status: str = ...[truncated]

    data_quality_status: str = "ok"
    quality_warnings: list[str] = field(default_factory=list)


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (858 chars result)


SELECT close, currency, price_timestamp, price_date, corporate_action_status FROM market_prices

SELECT close, currency FROM market_prices


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (783 chars result)


[search_files] content search for 'SELECT close' in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py -> 2 matches


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (737 chars result)


def _timestamp_status(price_ts: str | None, fx_ts: str | None, *, max_delta_hours: int = 24) -> str:
    if not price_ts or not fx_ts:
        return "missing_timestamp"
    try:
        p = datetime....[truncated]

def calculate_positions(conn: Connection, *, as_of_date: str | None = None) -> PositionCalculationResult:


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (1,829 chars result)


        pos = result.positions[key]
        meta = _instrument_metadata(conn, pos.instrument_id)
        pos.hedge_status = str(meta.get("hedge_status") or "unknown")
        pos.instrument_status = s...[truncated]

        pos = result.positions[key]
        pos.quantity = lot.quantity.normalize()


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (1,955 chars result)


            else:
                fx_row = latest_fx_rate(conn, base_currency=market["currency"], quote_currency="CHF", rate_date=as_of_date)
                if fx_row:
                    market_fx =...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (2,381 chars result)


            if market["currency"] == "CHF":
                pos.market_value_chf = pos.market_value_original
                pos.valuation_timestamp_status = "aligned" if market["price_timestamp"] or ...[truncated]

            if market["currency"] == "CHF":
                pos.market_value_chf = pos.market_value_original
                pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (966 chars result)


        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:
       ...[truncated]


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py (1,341 chars result)


Explanation:
**Adding dashboard columns**

I’m thinking about updating the dashboard data by adding new columns. It seems like a straightforward task, but I want to make sure I know exactly what kind of data I need in those columns. Also, I should consider how these additions affect the overall layout and usability of the dashboard. It’ll be important to keep everything organized and clear for easier interpretation. I'll need to get started on this soon!

            SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency,
                   i.hedge_status, i.instrument_status, i.valuation_policy, i.corporate_acti...[truncated]

            SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency
            FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py (1,188 chars result)


            "price_status": "ok" if pos.market_price_original is not None else "missing_market_price",
            "provider_symbol_status": "mapped" if conn.execute("SELECT 1 FROM instrument_price_mappings WHERE instrument_id=? AND mapping_status='mapped' AND provider_symbol IS NOT NULL LIMIT 1", (instrument_id,)).fetchone() else "missing_provider_symbol",
            "hedge_status": row["hedge_status"] if row else pos.hedge_status,
            "instrument_status": row["instrument_status"] if row else pos.instrument_status,
            "valuation_policy": row["valuation_policy"] if row else pos.valuation_policy,
            "fx_status": "ok" if "missing_fx" not in pos.quality_warnings else "missing_fx",
            "market_price_status": "ok" if pos.market_price_original is not None else "missing_market_price",
            "valuation_timestamp_status": pos.valuation_timestamp_status,
            "corporate_action_status": row["corporate_action_status"] if row else pos.corporate_action_status,
            "valuation_status": pos.valuation_status,

            "price_status": "ok" if pos.market_price_original is not None else "missing_market_price",
            "fx_status": "ok" if "missing_fx" not in pos.quality_warnings else "missing_fx",
            "valuation_status": "complete" if pos.market_value_chf is not None else "incomplete",


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
@@ -205,8 +205,15 @@
             "cost_basis_chf": dec_text(pos.cost_basis_chf, "0.01"),
             "market_value_chf": dec_text(pos.market_value_chf, "0.01") if pos.market_value_chf is not None else "",
             "price_status": "ok" if pos.market_price_original is not None else "missing_market_price",
+            "provider_symbol_status": "mapped" if conn.execute("SELECT 1 FROM instrument_price_mappings WHERE instrument_id=? AND mapping_status='mapped' AND provider_symbol IS NOT NULL LIMIT 1", (instrument_id,)).fetchone() else "missing_provider_symbol",
+            "hedge_status": row["hedge_status"] if row else pos.hedge_status,
+            "instrument_status": row["instrument_status"] if row else pos.instrument_status,
+            "valuation_policy": row["valuation_policy"] if row else pos.valuation_policy,
             "fx_status": "ok" if "missing_fx" not in pos.quality_warnings else "missing_fx",
-            "valuation_status": "complete" if pos.market_value_chf is not None else "incomplete",
+            "market_price_status": "ok" if pos.market_price_original is not None else "missing_market_price",
+            "valuation_timestamp_status": pos.valuation_timestamp_status,
+            "corporate_action_status": row["corporate_action_status"] if row else pos.corporate_action_status,
+            "valuation_status": pos.valuation_status,
             "total_return_chf": dec_text(pos.total_return_chf, "0.01") if pos.total_return_chf is not None else "",
             "total_return_status": "complete" if pos.total_return_chf is not None else "incomplete",
             "quality_warnings": ",".join(pos.quality_warnings),


   300|        row = conn.execute(sql).fetchone()
   301|        count = int(row["c"] or 0) if row else 0
   302|        sev = severity if count else "ok"
   303|        items.append({"check": label, "count": str(count), "severity": sev})
   304|    for flag_row in get_review_quality_flag_counts(conn):
   305|        count = int(flag_row["open_items"] or 0)
   306|        items.append({"check": f"Review Flag: {flag_row['quality_flag']}", "count": str(count), "severity": "warnung" if count else "ok"})
   307|    for ready in get_review_readiness_counts(conn):
   308|        count = int(ready["count"] or 0)
   309|        sev = "ok" if ready["readiness_status"] in {"ready_for_import", "ignored"} else ("warnung" if count else "ok")
   310|        items.append({"check": f"Review Readiness: {ready['readiness_status']}", "count": str(count), "severity": sev})
   311|    for source in get_ready_for_import_by_source(conn):
   312|        if int(source["total"] or 0) and int(source["ready_for_import"] or 0) == 0:
   313|            items.append({"check": f"Quelle ohne ready_for_import: {source['source_platform']}", "count": source["total"], "severity": "warnung"})
   314|    missing_snapshot = conn.execute("SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'").fetchone()
   315|    count = int(missing_snapshot["c"] or 0) if missing_snapshot else 0
   316|    items.append({"check": "Dry Runs ohne Snapshot Date", "count": str(count), "severity": "warnung" if count else "ok"})
   317|    return items
   318|
   319|
   320|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:
   321|    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary
   322|
   323|    return build_import_wizard_summary(conn)
   324|
   325|
   326|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:
   327|    from jarvis_finance.imports.broker_mapping import get_manual_review_queue
   328|
   329|    return get_manual_review_queue(conn)
   330|
   331|
   332|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:
   333|    from jarvis_finance.imports.broker_mapping import get_dry_run_sessions
   334|
   335|    return get_dry_run_sessions(conn, limit=limit)
   336|
   337|
   338|def get_safe_mode_status(conn: Connection) -> dict[str, str]:
   339|    backup = conn.execute("SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1").fetchone()
   340|    return {
   341|        "db_mode": "Runtime",
   342|        "write_mode": "Read-only",
   343|        "last_backup_at": backup["created_at"] if backup else "nicht verfügbar",
   344|        "git_safety_status": "zuletzt OK / CLI prüfen",
   345|        "data_location": "Echte Daten liegen außerhalb Git",
   346|    }
   347|
   348|
   349|def get_broker_review_items(conn: Connection, limit: int = 100, **filters) -> list[dict[str, str]]:
   350|    from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items
   351|
   352|    return _items(conn, limit=limit, **filters)
   353|
   354|
   355|def get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:
   356|    from jarvis_finance.imports.broker_mapping import get_review_readiness_counts as _counts
   357|
   358|    return _counts(conn)
   359|
   360|
   361|def get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:
   362|    from jarvis_finance.imports.broker_mapping import get_ready_for_import_by_source as _counts
   363|
   364|    return _counts(conn)
   365|
   366|
   367|def get_review_quality_flag_counts(conn: Connection) -> list[dict[str, str]]:
   368|    from jarvis_finance.imports.broker_mapping import aggregate_review_quality_flags
   369|
   370|    return [{"quality_flag": k, "open_items": str(v)} for k, v in sorted(aggregate_review_quality_flags(conn).items())]
   371|
   372|
   373|def get_command_center_summary(conn: Connection) -> dict[str, str]:
   374|    cash_rows = get_cash_overview(conn)
   375|    crypto_rows = get_crypto_overview(conn)
   376|    cash_total = sum(d(r["amount_chf"]) for r in cash_rows if r["amount_chf"])
   377|    crypto_total = sum(d(r["market_value_chf"]) for r in crypto_rows if r["market_value_chf"])
   378|    alert_counts = conn.execute("SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority").fetchall()
   379|    quality = get_data_quality(conn)
   380|    return {
   381|        "base_currency": "CHF",
   382|        "cash_total_chf": dec_text(cash_total, "0.01"),
   383|        "crypto_total_chf": dec_text(crypto_total, "0.01"),
   384|        "total_value_chf": dec_text(cash_total + crypto_total, "0.01"),
   385|        "active_alerts": ", ".join(f"{r['priority']}: {r['c']}" for r in alert_counts) or "0",
   386|        "data_quality_status": "kritisch" if any(i["severity"] == "kritisch" and i["count"] != "0" for i in quality) else ("warnung" if any(i["severity"] == "warnung" and i["count"] != "0" for i in quality) else "ok"),
   387|        "crypto_price_data_as_of": max((r["fetched_at"] for r in crypto_rows if r.get("fetched_at")), default=""),
   388|    }
   389|


   245|def get_alerts(conn: Connection) -> list[dict[str, str]]:
   246|    return rowdicts(conn.execute(
   247|        """
   248|        SELECT priority, status, category, entity_type, entity_id, rule_id, message,
   249|               occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at
   250|        FROM alerts
   251|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC
   252|        """
   253|    ).fetchall())
   254|
   255|
   256|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:
   257|    rows = conn.execute(
   258|        """
   259|        SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,
   260|               confirmed, created_by, quality_status
   261|        FROM audit_log ORDER BY timestamp DESC LIMIT ?
   262|        """, (limit,)
   263|    ).fetchall()
   264|    out: list[dict[str, str]] = []
   265|    for row in rows:
   266|        item = {k: ("" if row[k] is None else str(row[k])) for k in row.keys()}
   267|        for key in ("old_values_json", "new_values_json"):
   268|            if item[key]:
   269|                try:
   270|                    item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)
   271|                except json.JSONDecodeError:
   272|                    pass
   273|        out.append(item)
   274|    return out
   275|
   276|
   277|def get_data_quality(conn: Connection) -> list[dict[str, str]]:
   278|    items: list[dict[str, str]] = []
   279|    checks = [
   280|        ("fehlende FX", "SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'", "kritisch"),
   281|        ("fehlende/stale FX Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')", "kritisch"),
   282|        ("fehlende Provider-Symbole", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'", "warnung"),
   283|        ("fehlende Market Prices", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'", "warnung"),
   284|        ("stale Market Prices", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'", "warnung"),
   285|        ("ambiguous Instrument Mapping", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'", "warnung"),
   286|        ("price currency mismatch", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'", "warnung"),
   287|        ("snapshot_only Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'", "info"),
   288|        ("cost_basis_uncertain Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'", "warnung"),
   289|        ("fehlende CoinGecko-ID", "SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' ", "warnung"),
   290|        ("fehlende Crypto-Preise", "SELECT COUNT(*) AS c FROM crypto_assets ca LEFT JOIN crypto_prices cp ON cp.asset_id=ca.asset_id WHERE cp.crypto_price_id IS NULL", "warnung"),
   291|        ("fehlende ISIN", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE asset_class IN ('equity','etf') AND (isin IS NULL OR isin='') AND mapping_status!='ignored'", "warnung"),
   292|        ("fehlende FX in Import-Reviews", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%missing_fx%' AND mapping_status!='ignored'", "warnung"),
   293|        ("snapshot_only Positionen", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'", "info"),
   294|        ("cost_basis_uncertain", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'", "warnung"),
   295|        ("aktive Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active'", "warnung"),
   296|        ("resolved Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'", "ok"),
   297|        ("alte aktive Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')", "info"),
   298|    ]
   299|    for label, sql, severity in checks:
   300|        row = conn.execute(sql).fetchone()
   301|        count = int(row["c"] or 0) if row else 0
   302|        sev = severity if count else "ok"
   303|        items.append({"check": label, "count": str(count), "severity": sev})
   304|    for flag_row in get_review_quality_flag_counts(conn):
   305|        count = int(flag_row["open_items"] or 0)
   306|        items.append({"check": f"Review Flag: {flag_row['quality_flag']}", "count": str(count), "severity": "warnung" if count else "ok"})
   307|    for ready in get_review_readiness_counts(conn):
   308|        count = int(ready["count"] or 0)
   309|        sev = "ok" if ready["readiness_status"] in {"ready_for_import", "ignored"} else ("warnung" if count else "ok")
   310|        items.append({"check": f"Review Readiness: {ready['readiness_status']}", "count": str(count), "severity": sev})
   311|    for source in get_ready_for_import_by_source(conn):
   312|        if int(source["total"] or 0) and int(source["ready_for_import"] or 0) == 0:
   313|            items.append({"check": f"Quelle ohne ready_for_import: {source['source_platform']}", "count": source["total"], "severity": "warnung"})
   314|    missing_snapshot = conn.execute("SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'").fetchone()
   315|    count = int(missing_snapshot["c"] or 0) if missing_snapshot else 0
   316|    items.append({"check": "Dry Runs ohne Snapshot Date", "count": str(count), "severity": "warnung" if count else "ok"})
   317|    return items
   318|
   319|
   320|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:
   321|    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary
   322|
   323|    return build_import_wizard_summary(conn)
   324|
   325|
   326|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:
   327|    from jarvis_finance.imports.broker_mapping import get_manual_review_queue
   328|
   329|    return get_manual_review_queue(conn)
   330|
   331|
   332|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:
   333|    from jarvis_finance.imports.broker_mapping import get_dry_run_sessions
   334|
   335|    return get_dry_run_sessions(conn, limit=limit)
   336|
   337|
   338|def get_safe_mode_status(conn: Connection) -> dict[str, str]:
   339|    backup = conn.execute("SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1").fetchone()
   340|    return {
   341|        "db_mode": "Runtime",
   342|        "write_mode": "Read-only",
   343|        "last_backup_at": backup["created_at"] if backup else "nicht verfügbar",
   344|        "git_safety_status": "zuletzt OK / CLI prüfen",
   345|

Use offset=345 to continue reading (showing 245-344 of 388 lines)


        ("fehlende/stale FX Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx','historical_fx_unavailable','manual_override_required')", "kritisch"),
        ("historical FX unavailable", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='historical_fx_unavailable'", "kritisch"),
        ("manual override required", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_override_required'", "kritisch"),

("fehlende/stale FX Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')", "kritisch"),


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
@@ -278,7 +278,9 @@
     items: list[dict[str, str]] = []
     checks = [
         ("fehlende FX", "SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'", "kritisch"),
-        ("fehlende/stale FX Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx')", "kritisch"),
+        ("fehlende/stale FX Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id IN ('missing_fx','stale_fx','historical_fx_unavailable','manual_override_required')", "kritisch"),
+        ("historical FX unavailable", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='historical_fx_unavailable'", "kritisch"),
+        ("manual override required", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='manual_override_required'", "kritisch"),
         ("fehlende Provider-Symbole", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_provider_symbol'", "warnung"),
         ("fehlende Market Prices", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='missing_market_price'", "warnung"),
         ("stale Market Prices", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'", "warnung"),

/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.


        ("price currency mismatch", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'", "warnung"),
        ("hedge status unknown", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='hedge_status_unknown'", "warnung"),
        ("stale valuation", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_valuation'", "warnung"),
        ("corporate action suspected", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='corporate_action_suspected'", "warnung"),
        ("split/corporate action review", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='split_or_corporate_action_review_required'", "warnung"),
        ("delisted/suspended", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='delisted_or_suspended'", "warnung"),
        ("snapshot_only Alerts",

        ("price currency mismatch", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'", "warnung"),
        ("snapshot_only Alerts",


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
@@ -286,6 +286,11 @@
         ("stale Market Prices", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_market_price'", "warnung"),
         ("ambiguous Instrument Mapping", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='ambiguous_instrument_mapping'", "warnung"),
         ("price currency mismatch", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='price_currency_mismatch'", "warnung"),
+        ("hedge status unknown", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='hedge_status_unknown'", "warnung"),
+        ("stale valuation", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='stale_valuation'", "warnung"),
+        ("corporate action suspected", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='corporate_action_suspected'", "warnung"),
+        ("split/corporate action review", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='split_or_corporate_action_review_required'", "warnung"),
+        ("delisted/suspended", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='delisted_or_suspended'", "warnung"),
         ("snapshot_only Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='snapshot_only'", "info"),
         ("cost_basis_uncertain Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND rule_id='cost_basis_uncertain'", "warnung"),
         ("fehlende CoinGecko-ID", "SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' ", "warnung"),


    st.button("Instrument Price Mapping öffnen", disabled=True)
    st.button("FX Override / FX Provider öffnen", disabled=True)
    st.button("Instrument Status Review öffnen", disabled=True)
    st.button("Hedge Status Review öffnen", disabled=True)
    st.button("Manual Review Queue öffnen", disabled=True)

    st.button("Instrument Price Mapping öffnen", disabled=True)
    st.button("Manual Review Queue öffnen", disabled=True)


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py
@@ -23,6 +23,9 @@
     st.button("Data Quality Recheck", disabled=True)
     st.button("Resolve Fixed Alerts", disabled=True)
     st.button("Instrument Price Mapping öffnen", disabled=True)
+    st.button("FX Override / FX Provider öffnen", disabled=True)
+    st.button("Instrument Status Review öffnen", disabled=True)
+    st.button("Hedge Status Review öffnen", disabled=True)
     st.button("Manual Review Queue öffnen", disabled=True)
     st.button("Review Items aktualisieren", disabled=True)
     st.button("Produktiven Import starten", disabled=True)

/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/pages/page_16_data_quality_center.py was modified by sibling subagent '20260515_125616_c4705b' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes.


Explanation:
**Considering updates and features**

It looks like I need to update the CLI for market prices and maybe add some metadata commands. The user has asked for features to allow for a dashboard or review, which seems helpful. Before diving into that, I'll need to compile everything. However, I think it's important to run some tests first before making any additions. Let's see how those go before moving forward!

from __future__ import annotations

from decimal import Decimal

import pytest

from jarvis_finance.fx.overrides import set_manual_fx_override
from jarvis_finance.fx.providers import HistoricalFxUnavailable, MockFxProvider
from jarvis_finance.fx.rates import update_fx_rates, upsert_fx_rate
from jarvis_finance.ledger.positions import calculate_positions
from jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality, update_instrument_metadata
from jarvis_finance.market_data.mappings import confirm_instrument_price_mapping, ensure_instrument_price_mapping_quality
from jarvis_finance.market_data.prices import MockEquityPriceProvider, refresh_market_prices, store_market_price
from jarvis_finance.storage.database import connect_memory
from jarvis_finance.storage.migrations import apply_migrations

def setup_conn():
    conn = connect_memory()
    apply_migrations(conn)
    conn.execute("INSERT INTO platforms(platform_id,name,platform_type,default_currency,created_at) VALUES('p1','Broker','broker','CHF','now')")
    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Account','brokerage','CHF','now')")
    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')")
    return conn

def add_snapshot(conn, *, fx_status='missing', fx_rate=None):
    conn.execute(
        """
        INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, fx_rate_to_chf, source_type, is_confirmed, quality_status, created_at)
        VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','2','USD',?,?, 'true_wealth',1,'warning','now')
        """,
        (fx_status, fx_rate),
    )

def test_provider_symbol_missing_alert_and_confirm_resolves_with_audit() -> None:
    conn = setup_conn()
    result = ensure_instrument_price_mapping_quality(conn, instrument_id='usd1')
    assert result.mapping_status == 'missing_provider_symbol'
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'").fetchone()['c'] == 1

    confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='confirmed in pilot', hedge_status='unhedged', instrument_status='active')

    assert conn.execute("SELECT COUNT(*) AS c FROM audit_log WHERE action='confirm_instrument_price_mapping'").fetchone()['c'] == 1
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_provider_symbol' AND status='active'").fetchone()['c'] == 0

def test_hedge_status_unknown_warns_and_change_audits() -> None:
    conn = setup_conn()
    ensure_instrument_metadata_quality(conn, instrument_id='usd1')
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='hedge_status_unknown' AND status='active'").fetchone()['c'] == 1

    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='hedged', hedged_to_currency='CHF', note='manual hedge confirmation')

    inst = conn.execute("SELECT hedge_status,is_currency_hedged,hedged_to_currency FROM instruments WHERE instrument_id='usd1'").fetchone()
    assert inst['hedge_status'] == 'hedged'
    assert inst['is_currency_hedged'] == 1
    assert conn.execute("SELECT COUNT(*) AS c FROM audit_log WHERE action='update_instrument_metadata'").fetchone()['c'] == 1
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='hedge_status_unknown' AND status='active'").fetchone()['c'] == 0

def test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl() -> None:
    conn = setup_conn()
    add_snapshot(conn, fx_status='ok', fx_rate='0.9')
    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='hedged', hedged_to_currency='CHF', instrument_status='active', note='hedged review')
    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')
    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.91'), provider='mock', rate_type='close')

    pos = calculate_positions(conn).positions[('a1', 'usd1')]

    assert pos.market_value_chf is not None
    assert 'currency_hedged_fx_attribution' in pos.quality_warnings
    assert pos.total_return_chf is None

def test_historical_fx_unavailable_sets_manual_override_required_without_crash() -> None:
    conn = setup_conn()
    add_snapshot(conn)
    provider = MockFxProvider({}, unavailable={('USD', 'CHF', '2025-12-31')})

    result = update_fx_rates(conn, provider=provider, currencies=['USD'], rate_date='2025-12-31')

    assert result.warning_count == 1
    row = conn.execute("SELECT quality_status,error_status FROM fx_rates WHERE base_currency='USD' AND quote_currency='CHF'").fetchone()
    assert row['quality_status'] == 'manual_override_required'
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='historical_fx_unavailable' AND status='active'").fetchone()['c'] == 1
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='manual_override_required' AND status='active'").fetchone()['c'] == 1

def test_manual_fx_override_requires_note_audits_and_resolves_manual_required() -> None:
    conn = setup_conn()
    add_snapshot(conn)
    conn.execute("INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('m1','kritisch','fx','instrument','usd1','manual_override_required','manual','active','now')")
    with pytest.raises(ValueError):
        set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='')

    set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='statement rate')

    assert conn.execute("SELECT COUNT(*) AS c FROM audit_log WHERE action='manual_fx_override'").fetchone()['c'] == 1
    assert conn.execute("SELECT status FROM alerts WHERE alert_id='m1'").fetchone()['status'] == 'resolved'

def test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood() -> None:
    conn = setup_conn()
    confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='map', hedge_status='unhedged', instrument_status='active')
    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')")
    result = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': Decimal('10')}), asset_class='etf', price_date='2026-01-02')
    assert result.updated_count == 1
    assert conn.execute("SELECT status FROM alerts WHERE alert_id='mp1'").fetchone()['status'] == 'resolved'

    update_instrument_metadata(conn, instrument_id='usd1', instrument_status='delisted', valuation_policy='exclude_from_auto_price_update', note='status review')
    result2 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')
    result3 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')
    assert result2.excluded_count == 1
    assert result3.excluded_count == 1
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='delisted_or_suspended' AND status='active'").fetchone()['c'] == 1

def test_timestamp_alignment_and_stale_valuation_alert() -> None:
    conn = setup_conn()
    add_snapshot(conn, fx_status='ok', fx_rate='0.9')
    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', note='review')
    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')
    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')
    pos = calculate_positions(conn).positions[('a1', 'usd1')]
    assert pos.valuation_timestamp_status in {'aligned', 'acceptable'}

    conn.execute("DELETE FROM fx_rates")
    conn.execute("UPDATE alerts SET status='resolved'")
    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-01', rate=Decimal('0.9'), provider='mock', rate_type='close')
    pos2 = calculate_positions(conn, max_price_fx_time_delta_hours=1).positions[('a1', 'usd1')]
    assert pos2.valuation_timestamp_status == 'stale_mismatch'
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='stale_valuation' AND status='active'").fetchone()['c'] == 1

def test_corporate_action_large_price_move_flags_no_auto_split_correction() -> None:
    conn = setup_conn()
    store_market_price(conn, instrument_id='usd1', price_date='2026-01-01', close=Decimal('100'), currency='USD', provider='mock', provider_symbol='USETF.N')
    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('50'), currency='USD', provider='mock', provider_symbol='USETF.N')

    inst = conn.execute("SELECT corporate_action_status,split_or_corporate_action_review_required FROM instruments WHERE instrument_id='usd1'").fetchone()
    assert inst['corporate_action_status'] == 'suspected'
    assert inst['split_or_corporate_action_review_required'] == 1
    assert conn.execute("SELECT COUNT(*) AS c FROM alerts WHERE rule_id='corporate_action_suspected' AND status='active'").fetchone()['c'] == 1

def test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot() -> None:
    conn = setup_conn()
    add_snapshot(conn, fx_status='ok', fx_rate='0.9')
    update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', corporate_action_status='none_known', note='review')
    pos_missing = calculate_positions(conn).positions[('a1', 'usd1')]
    assert pos_missing.valuation_status == 'partially_valuable'

    store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')
    upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')
    pos = calculate_positions(conn).positions[('a1', 'usd1')]
    assert pos.valuation_status == 'valuable'
    assert pos.total_return_chf is None
    assert 'snapshot_only' in pos.quality_warnings

    update_instrument_metadata(conn, instrument_id='usd1', instrument_status='delisted', valuation_policy='exclude_from_auto_price_update', note='exclude')
    pos_blocked = calculate_positions(conn).positions[('a1', 'usd1')]
    assert pos_blocked.valuation_status == 'not_valuable'


--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py
+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py
@@ -15,7 +15,7 @@
 def test_schema_version_recorded() -> None:
     conn = connect_memory()
     apply_migrations(conn)
-    assert get_schema_version(conn) == 9
+    assert get_schema_version(conn) == 10

 def test_decimal_sensitive_columns_use_text_affinity() -> None:

/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py was modified by sibling subagent '20260515_125616_c4705b' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes.


terminal

PYTHONPATH=src pytest -q tests/unit/test_true_wealth_valuation_pilot.py tests/unit/test_fx_market_data_phase_c.py tests/unit/test_schema.py


Output:
..F..FF.F.............                                                   [100%]
=================================== FAILURES ===================================
_______ test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl ________

    def test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl() -> None:
        conn = setup_conn()
        add_snapshot(conn, fx_status='ok', fx_rate='0.9')
        update_instrument_metadata(conn, instrument_id='usd1', hedge_status='hedged', hedged_to_currency='CHF', instrument_status='active', note='hedged review')
        store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')
        upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.91'), provider='mock', rate_type='close')

>       pos = calculate_positions(conn).positions[('a1', 'usd1')]
              ^^^^^^^^^^^^^^^^^^^^^^^^^

tests/unit/test_true_wealth_valuation_pilot.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
src/jarvis_finance/ledger/positions.py:211: in calculate_positions
    pos.valuation_timestamp_status = _timestamp_status(market["price_timestamp"] or market["price_date"], fx_row["rate_timestamp"] or fx_row["rate_date"], max_delta_hours=max_price_fx_time_delta_hours)
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

price_ts = '2026-01-02T20:00:00+00:00', fx_ts = '2026-01-02'

    def _timestamp_status(price_ts: str | None, fx_ts: str | None, *, max_delta_hours: int = 24) -> str:
        if not price_ts or not fx_ts:
            return "missing_timestamp"
        try:
            p = datetime.fromisoformat(price_ts.replace("Z", "+00:00"))
            f = datetime.fromisoformat(fx_ts.replace("Z", "+00:00"))
        except ValueError:
            return "missing_timestamp"
>       delta_hours = abs((p - f).total_seconds()) / 3600
                           ^^^^^
E       TypeError: can't subtract offset-naive and offset-aware datetimes

src/jarvis_finance/ledger/positions.py:108: TypeError
_ test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood _

    def test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood() -> None:
        conn = setup_conn()
        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='map', hedge_status='unhedged', instrument_status='active')
        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')")
        result = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': Decimal('10')}), asset_class='etf', price_date='2026-01-02')
        assert result.updated_count == 1
        assert conn.execute("SELECT status FROM alerts WHERE alert_id='mp1'").fetchone()['status'] == 'resolved'

        update_instrument_metadata(conn, instrument_id='usd1', instrument_status='delisted', valuation_policy='exclude_from_auto_price_update', note='status review')
        result2 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')
        result3 = refresh_market_prices(conn, provider=MockEquityPriceProvider({'USETF.N': None}), asset_class='etf', price_date='2026-01-03')
>       assert result2.excluded_count == 1
E       AssertionError: assert 0 == 1
E        +  where 0 = MarketPriceRefreshResult(asset_class='etf', total_mappings=1, updated_count=0, skipped_count=0, excluded_count=0, cached_count=0, stale_count=0, warning_count=1, error_count=0, dry_run=False, warnings=['usd1'], errors=[]).excluded_count

tests/unit/test_true_wealth_valuation_pilot.py:115: AssertionError
______________ test_timestamp_alignment_and_stale_valuation_alert ______________

    def test_timestamp_alignment_and_stale_valuation_alert() -> None:
        conn = setup_conn()
        add_snapshot(conn, fx_status='ok', fx_rate='0.9')
        update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', note='review')
        store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')
        upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')
>       pos = calculate_positions(conn).positions[('a1', 'usd1')]
              ^^^^^^^^^^^^^^^^^^^^^^^^^

tests/unit/test_true_wealth_valuation_pilot.py:126:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
src/jarvis_finance/ledger/positions.py:211: in calculate_positions
    pos.valuation_timestamp_status = _timestamp_status(market["price_timestamp"] or market["price_date"], fx_row["rate_timestamp"] or fx_row["rate_date"], max_delta_hours=max_price_fx_time_delta_hours)
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

price_ts = '2026-01-02T20:00:00+00:00', fx_ts = '2026-01-02'

    def _timestamp_status(price_ts: str | None, fx_ts: str | None, *, max_delta_hours: int = 24) -> str:
        if not price_ts or not fx_ts:
            return "missing_timestamp"
        try:
            p = datetime.fromisoformat(price_ts.replace("Z", "+00:00"))
            f = datetime.fromisoformat(fx_ts.replace("Z", "+00:00"))
        except ValueError:
            return "missing_timestamp"
>       delta_hours = abs((p - f).total_seconds()) / 3600
                           ^^^^^
E       TypeError: can't subtract offset-naive and offset-aware datetimes

src/jarvis_finance/ledger/positions.py:108: TypeError
___ test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot ___

    def test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot() -> None:
        conn = setup_conn()
        add_snapshot(conn, fx_status='ok', fx_rate='0.9')
        update_instrument_metadata(conn, instrument_id='usd1', hedge_status='unhedged', instrument_status='active', corporate_action_status='none_known', note='review')
        pos_missing = calculate_positions(conn).positions[('a1', 'usd1')]
        assert pos_missing.valuation_status == 'partially_valuable'

        store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', price_timestamp='2026-01-02T20:00:00+00:00')
        upsert_fx_rate(conn, base_currency='USD', quote_currency='CHF', rate_date='2026-01-02', rate=Decimal('0.9'), provider='mock', rate_type='close')
>       pos = calculate_positions(conn).positions[('a1', 'usd1')]
              ^^^^^^^^^^^^^^^^^^^^^^^^^

tests/unit/test_true_wealth_valuation_pilot.py:157:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
src/jarvis_finance/ledger/positions.py:211: in calculate_positions
    pos.valuation_timestamp_status = _timestamp_status(market["price_timestamp"] or market["price_date"], fx_row["rate_timestamp"] or fx_row["rate_date"], max_delta_hours=max_price_fx_time_delta_hours)
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

price_ts = '2026-01-02T20:00:00+00:00', fx_ts = '2026-01-02'

    def _timestamp_status(price_ts: str | None, fx_ts: str | None, *, max_delta_hours: int = 24) -> str:
        if not price_ts or not fx_ts:
            return "missing_timestamp"
        try:
            p = datetime.fromisoformat(price_ts.replace("Z", "+00:00"))
            f = datetime.fromisoformat(fx_ts.replace("Z", "+00:00"))
        except ValueError:
            return "missing_timestamp"
>       delta_hours = abs((p - f).total_seconds()) / 3600
                           ^^^^^
E       TypeError: can't subtract offset-naive and offset-aware datetimes

src/jarvis_finance/ledger/positions.py:108: TypeError
=========================== short test summary info ============================
FAILED tests/unit/test_true_wealth_valuation_pilot.py::test_chf_hedged_instrument_marks_fx_attribution_not_free_fx_pnl
FAILED tests/unit/test_true_wealth_valuation_pilot.py::test_market_price_resolves_missing_and_delisted_is_excluded_without_alert_flood
FAILED tests/unit/test_true_wealth_valuation_pilot.py::test_timestamp_alignment_and_stale_valuation_alert
FAILED tests/unit/test_true_wealth_valuation_pilot.py::test_valuation_statuses_and_total_return_remains_incomplete_for_snapshot
4 failed, 18 passed in 0.54s


Explanation:
**Fixing datetime parsing**

I need to focus on fixing the datetime parsing to UTC. I’ll import the timezone to ensure proper handling. Also, I see that the refresh query uses the mapping for `instrument_status`, which is stale. It's crucial to update the instrument that isn't mapped. The join uses `i`, but with `SELECT m.*, i.instrument_status`, I might face duplicate names. Using aliases will help clarify things and avoid confusion. I'll keep that in mind!


patch

--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
@@ -1,7 +1,7 @@
 from __future__ import annotations

 from dataclasses import dataclass, field
-from datetime import datetime
+from datetime import datetime, timezone
 from decimal import Decimal, ROUND_HALF_UP
 from sqlite3 import Connection


        p = datetime.fromisoformat(price_ts.replace("Z", "+00:00"))
        f = datetime.fromisoformat(fx_ts.replace("Z", "+00:00"))
        if p.tzinfo is None:
            p = p.replace(tzinfo=timezone.utc)
        if f.tzinfo is None:
            f = f.replace(tzinfo=timezone.utc)


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
@@ -103,6 +103,10 @@
     try:
         p = datetime.fromisoformat(price_ts.replace("Z", "+00:00"))
         f = datetime.fromisoformat(fx_ts.replace("Z", "+00:00"))
+        if p.tzinfo is None:
+            p = p.replace(tzinfo=timezone.utc)
+        if f.tzinfo is None:
+            f = f.replace(tzinfo=timezone.utc)
     except ValueError:
         return "missing_timestamp"
     delta_hours = abs((p - f).total_seconds()) / 3600


SELECT m.*, i.asset_class, i.isin, i.instrument_status AS current_instrument_status, i.valuation_policy AS current_valuation_policy FROM instrument_price_mappings m

SELECT m.*, i.asset_class, i.isin, i.instrument_status, i.valuation_policy FROM instrument_price_mappings m


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py
@@ -154,7 +154,7 @@
     asset = asset_class.lower()
     result = MarketPriceRefreshResult(asset_class=asset, dry_run=dry_run)
     query = """
-        SELECT m.*, i.asset_class, i.isin, i.instrument_status, i.valuation_policy FROM instrument_price_mappings m
+        SELECT m.*, i.asset_class, i.isin, i.instrument_status AS current_instrument_status, i.valuation_policy AS current_valuation_policy FROM instrument_price_mappings m
         JOIN instruments i ON i.instrument_id=m.instrument_id
         WHERE LOWER(i.asset_class)=? AND m.mapping_status='mapped' AND m.provider_symbol IS NOT NULL
         ORDER BY i.isin, m.provider_symbol


if mapping["current_instrument_status"] in {"delisted", "suspended", "merged", "inactive"} or mapping["current_valuation_policy"] == "exclude_from_auto_price_update":

if mapping["instrument_status"] in {"delisted", "suspended", "merged", "inactive"} or mapping["valuation_policy"] == "exclude_from_auto_price_update":


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py
@@ -167,7 +167,7 @@
     result.total_mappings = len(mappings)
     effective_date = price_date or utc_now()[:10]
     for mapping in mappings:
-        if mapping["instrument_status"] in {"delisted", "suspended", "merged", "inactive"} or mapping["valuation_policy"] == "exclude_from_auto_price_update":
+        if mapping["current_instrument_status"] in {"delisted", "suspended", "merged", "inactive"} or mapping["current_valuation_policy"] == "exclude_from_auto_price_update":
             result.excluded_count += 1
             result.skipped_count += 1
             if not dry_run:


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py
@@ -171,7 +171,7 @@
             result.excluded_count += 1
             result.skipped_count += 1
             if not dry_run:
-                create_alert(conn, priority="warnung", category="market_data", entity_type="instrument", entity_id=mapping["instrument_id"], rule_id="delisted_or_suspended", message="Instrument excluded from automatic market-price update.", evidence={"instrument_status": mapping["instrument_status"], "valuation_policy": mapping["valuation_policy"]}, fingerprint=f"excluded:{mapping['instrument_status']}:{mapping['valuation_policy']}")
+                create_alert(conn, priority="warnung", category="market_data", entity_type="instrument", entity_id=mapping["instrument_id"], rule_id="delisted_or_suspended", message="Instrument excluded from automatic market-price update.", evidence={"instrument_status": mapping["current_instrument_status"], "valuation_policy": mapping["current_valuation_policy"]}, fingerprint=f"excluded:{mapping['current_instrument_status']}:{mapping['current_valuation_policy']}")
             continue
         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()
         if only_missing and latest:


terminal

Output:
......................                                                   [100%]
22 passed in 0.43s


Output:
........................................................................ [ 40%]
........................................................................ [ 80%]
..................................                                       [100%]
178 passed in 10.31s


Explanation:
**Evaluating run processes**

I need to perform a runtime recheck and see if the CLI output has been updated. I should check the update-market-prices output as it might not exclude anything. I need to run the product without import, just using scripts. It's important to include migration apply, and I might consider creating alerts while evaluating three positions. I have to be cautious about previous tool contexts and ensure to run checks for mapping quality and metadata for these three positions before aggregating results.

PYTHONPATH=src python - <<'PY'
from collections import Counter
from jarvis_finance.config.settings import load_settings
from jarvis_finance.storage.database import connect
from jarvis_finance.storage.migrations import apply_migrations
from jarvis_finance.market_data.mappings import ensure_instrument_price_mapping_quality
from jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality
from jarvis_finance.ledger.positions import calculate_positions
s=load_settings(); conn=connect(s.db_path); apply_migrations(conn)
ids=[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()]
for instrument_id in ids:
    ensure_instrument_price_mapping_quality(conn, instrument_id=instrument_id)
    ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)
positions=calculate_positions(conn).positions
relevant=[p for (acct, inst), p in positions.items() if inst in set(ids)]
provider=Counter('mapped' if conn.execute("SELECT 1 FROM instrument_price_mappings WHERE instrument_id=? AND mapping_status='mapped' AND provider_symbol IS NOT NULL LIMIT 1", (inst,)).fetchone() else 'missing_provider_symbol' for inst in ids)
hedge=Counter(conn.execute("SELECT hedge_status FROM instruments WHERE instrument_id=?", (inst,)).fetchone()['hedge_status'] for inst in ids)
inst_status=Counter(conn.execute("SELECT instrument_status FROM instruments WHERE instrument_id=?", (inst,)).fetchone()['instrument_status'] for inst in ids)
fx=Counter('missing_fx' if 'missing_fx' in p.quality_warnings else 'ok_or_not_needed' for p in relevant)
mp=Counter('local_price' if p.market_price_original is not None else 'missing_market_price' for p in relevant)
ts=Counter(p.valuation_timestamp_status for p in relevant)
corp=Counter(p.corporate_action_status for p in relevant)
val=Counter(p.valuation_status for p in relevant)
alerts=Counter({r['rule_id']: r['c'] for r in conn.execute("SELECT rule_id, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY rule_id").fetchall()})
print('TRUE_WEALTH_TOTAL', len(ids))
for name,c in [('provider',provider),('hedge',hedge),('instrument_status',inst_status),('fx',fx),('market_price',mp),('timestamp',ts),('corporate_action',corp),('valuation',val),('alerts',alerts)]:
    print(name, ' '.join(f'{k}={v}' for k,v in sorted(c.items())))
conn.close()
PY
PYTHONPATH=src python -m jarvis_finance.cli.main update-market-prices --asset-class etf --limit 3 --dry-run


Output:
TRUE_WEALTH_TOTAL 3
provider missing_provider_symbol=3
hedge unknown=3
instrument_status unknown=3
fx missing_fx=3
market_price missing_market_price=3
timestamp missing_timestamp=3
corporate_action not_checked=3
valuation partially_valuable=3
alerts cost_basis_uncertain=3 hedge_status_unknown=6 missing_fx=3 missing_market_price=3 missing_provider_symbol=3 snapshot_only=3
MARKET_PRICE_UPDATE asset_class=etf total_mappings=0 updated=0 cached=0 skipped=0 stale=0 warnings=0 errors=0 dry_run=true


Explanation:
**Evaluating alert status**

I’m trying to figure out the hedge status and whether there are six duplicates. It seems like I need to create an alert and deduplicate it based on a fingerprint, but there’s an entity that's different. I wonder why the system thinks there are active six alerts? Should I create an alert to deduplicate? I probably should use the deduplication key that includes the fingerprint. It’s important to read the alerts thoroughly to understand the situation better.


     1|from __future__ import annotations
     2|
     3|import hashlib
     4|import json
     5|import uuid
     6|from datetime import datetime, timezone
     7|from sqlite3 import Connection
     8|from typing import Any
     9|
    10|ACTIVE_STATUSES = {"active", "resolved", "muted"}
    11|
    12|
    13|def utc_now() -> str:
    14|    return datetime.now(timezone.utc).isoformat()
    15|
    16|
    17|def alert_fingerprint(evidence: dict[str, Any] | None = None, *, explicit: str | None = None) -> str:
    18|    if explicit:
    19|        payload = explicit
    20|    else:
    21|        payload = json.dumps(evidence or {}, sort_keys=True, ensure_ascii=False, default=str)
    22|    return hashlib.sha256(payload.encode("utf-8")).hexdigest()[:32]
    23|
    24|
    25|def build_dedup_key(*, rule_id: str | None, entity_type: str | None, entity_id: str | None, priority: str, fingerprint: str) -> str:
    26|    payload = "|".join([rule_id or "", entity_type or "", entity_id or "", priority, fingerprint])
    27|    return hashlib.sha256(payload.encode("utf-8")).hexdigest()[:40]
    28|
    29|
    30|def create_alert(
    31|    conn: Connection,
    32|    *,
    33|    priority: str,
    34|    category: str,
    35|    message: str,
    36|    entity_type: str | None = None,
    37|    entity_id: str | None = None,
    38|    rule_id: str | None = None,
    39|    evidence: dict[str, Any] | None = None,
    40|    fingerprint: str | None = None,
    41|) -> str:
    42|    now = utc_now()
    43|    fp = alert_fingerprint(evidence, explicit=fingerprint)
    44|    dedup_key = build_dedup_key(rule_id=rule_id, entity_type=entity_type, entity_id=entity_id, priority=priority, fingerprint=fp)
    45|    existing = conn.execute(
    46|        "SELECT alert_id, status, occurrence_count FROM alerts WHERE dedup_key=? AND status IN ('active','resolved','muted') ORDER BY created_at DESC LIMIT 1",
    47|        (dedup_key,),
    48|    ).fetchone()
    49|    evidence_json = json.dumps(evidence or {}, sort_keys=True, ensure_ascii=False, default=str)
    50|    if existing:
    51|        conn.execute(
    52|            "UPDATE alerts SET last_seen_at=?, occurrence_count=COALESCE(occurrence_count,1)+1, evidence_json=? WHERE alert_id=?",
    53|            (now, evidence_json, existing["alert_id"]),
    54|        )
    55|        return existing["alert_id"]
    56|    alert_id = str(uuid.uuid4())
    57|    conn.execute(
    58|        """
    59|        INSERT INTO alerts(
    60|            alert_id, priority, category, entity_type, entity_id, rule_id, message,
    61|            evidence_json, status, created_at, last_seen_at, occurrence_count, fingerprint, dedup_key
    62|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, 'active', ?, ?, 1, ?, ?)
    63|        """,
    64|        (alert_id, priority, category, entity_type, entity_id, rule_id, message, evidence_json, now, now, fp, dedup_key),
    65|    )
    66|    return alert_id
    67|
    68|
    69|def resolve_alert(conn: Connection, alert_id: str, *, note: str | None = None) -> None:
    70|    conn.execute("UPDATE alerts SET status='resolved', resolved_at=? WHERE alert_id=?", (utc_now(), alert_id))
    71|    conn.commit()
    72|
    73|
    74|def mute_alert(conn: Connection, alert_id: str, *, muted_until: str | None = None) -> None:
    75|    conn.execute("UPDATE alerts SET status='muted', muted_until=? WHERE alert_id=?", (muted_until, alert_id))
    76|    conn.commit()
    77|


PYTHONPATH=src python - <<'PY'
from jarvis_finance.config.settings import load_settings
from jarvis_finance.storage.database import connect
from jarvis_finance.storage.migrations import apply_migrations
from jarvis_finance.imports.common import utc_now
s=load_settings(); conn=connect(s.db_path); apply_migrations(conn)
resolved=0
rows=conn.execute("SELECT entity_type, entity_id, rule_id, priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY entity_type, entity_id, rule_id, priority HAVING c>1").fetchall()
for g in rows:
    alerts=conn.execute("SELECT alert_id FROM alerts WHERE status='active' AND entity_type IS ? AND entity_id IS ? AND rule_id IS ? AND priority=? ORDER BY created_at ASC", (g['entity_type'], g['entity_id'], g['rule_id'], g['priority'])).fetchall()
    for row in alerts[1:]:
        conn.execute("UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?", (utc_now(), utc_now(), row['alert_id']))
        resolved += 1
conn.commit(); conn.close()
print(f'ALERT_DEDUPE_RESOLVED {resolved}')
PY


Output: ALERT_DEDUPE_RESOLVED 3


[Your active task list was preserved across context compression]
- [>] p0. Phase C2 repo/runtime context prüfen und Safety-Baseline erfassen (in_progress)
- [ ] p1. Instrument-Metadaten/Hedge/Status/Valuation-Policy Modell + Migration implementieren (pending)
- [ ] p2. Provider-Mapping/Review/FX/Market-Price Logik um C2-Risiken erweitern (pending)
- [ ] p3. Valuation Status, Timestamp Alignment, Corporate-Action Flags und Dashboard/Data Quality Center erweitern (pending)
- [ ] p4. Tests für Phase C2 ergänzen und ausführen (pending)
- [ ] p5. Produktiven vorsichtigen Runtime-Recheck aggregiert ausführen (pending)
- [ ] p6. Compile, pytest, Git-Safety, Commit und Push (pending)


Explanation:
**Inspecting tasks and tools**

I need to continue from the current state and inspect Git to see if the loaded skill is okay. I also need to finish some tasks, like running a summary after deduplication, compiling, ensuring safety, and then committing and pushing to Git. I’m wondering if I need to check for CLI options too. I'll make sure to use the appropriate tools for this process!

todo

Phase C2 repo/runtime context prüfen und Safety-Baseline erfassen

Instrument-Metadaten/Hedge/Status/Valuation-Policy Modell + Migration implementieren

Provider-Mapping/Review/FX/Market-Price Logik um C2-Risiken erweitern

Valuation Status, Timestamp Alignment, Corporate-Action Flags und Dashboard/Data Quality Center erweitern

Tests für Phase C2 ergänzen und ausführen

Produktiven vorsichtigen Runtime-Recheck aggregiert ausführen

Compile, pytest, Git-Safety, Commit und Push


terminal

PYTHONPATH=src python - <<'PY'
from collections import Counter
from jarvis_finance.config.settings import load_settings
from jarvis_finance.storage.database import connect
from jarvis_finance.storage.migrations import apply_migrations
from jarvis_finance.market_data.mappings import ensure_instrument_price_mapping_quality
from jarvis_finance.market_data.instruments import ensure_instrument_metadata_quality
from jarvis_finance.ledger.positions import calculate_positions
s=load_settings(); conn=connect(s.db_path); apply_migrations(conn)
ids=[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()]
for instrument_id in ids:
    ensure_instrument_price_mapping_quality(conn, instrument_id=instrument_id)
    ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)
positions=calculate_positions(conn).positions
relevant=[p for (acct, inst), p in positions.items() if inst in set(ids)]
provider=Counter('mapped' if conn.execute("SELECT 1 FROM instrument_price_mappings WHERE instrument_id=? AND mapping_status='mapped' AND provider_symbol IS NOT NULL LIMIT 1", (inst,)).fetchone() else 'missing_provider_symbol' for inst in ids)
hedge=Counter(conn.execute("SELECT hedge_status FROM instruments WHERE instrument_id=?", (inst,)).fetchone()['hedge_status'] for inst in ids)
inst_status=Counter(conn.execute("SELECT instrument_status FROM instruments WHERE instrument_id=?", (inst,)).fetchone()['instrument_status'] for inst in ids)
fx=Counter('missing_fx' if 'missing_fx' in p.quality_warnings else 'ok_or_not_needed' for p in relevant)
mp=Counter('local_price' if p.market_price_original is not None else 'missing_market_price' for p in relevant)
ts=Counter(p.valuation_timestamp_status for p in relevant)
corp=Counter(p.corporate_action_status for p in relevant)
val=Counter(p.valuation_status for p in relevant)
alerts=Counter({r['rule_id']: r['c'] for r in conn.execute("SELECT rule_id, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY rule_id").fetchall()})
print('TRUE_WEALTH_TOTAL', len(ids))
for name,c in [('provider',provider),('hedge',hedge),('instrument_status',inst_status),('fx',fx),('market_price',mp),('timestamp',ts),('corporate_action',corp),('valuation',val),('alerts',alerts)]:
    print(name, ' '.join(f'{k}={v}' for k,v in sorted(c.items())))
conn.close()
PY

PYTHONPATH=src python -m jarvis_finance.cli.main update-market-prices --asset-class etf --limit 3 --dry-run