[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)


[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:
Summary generation was unavailable. 172 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.


[M G] Sehr gut. Phase B6d ist akzeptiert.

Der Stand ist sauber:

* Crypto-Stale-Alerts sind bereinigt
* 3 True-Wealth Initial-Snapshot-Transaktionen sind produktiv im Ledger
* Remaining ready planned True-Wealth Items: 0
* keine direkten positions_snapshot Writes
* keine Cash-Snapshots
* PostFinance nicht importiert
* Raiffeisen nicht importiert
* Backup erzeugt/verifiziert
* Tests: 160 passed
* Git-Safety: OK
* Git Status clean
* keine echten Werte/Mengen/Kontostände im Chat

Bitte jetzt keine weiteren Positionen importieren und keine neuen Analysefeatures wie Backtesting, Monte Carlo, Rebalancing oder Heatmaps bauen.

Der nächste Schritt ist:

# Phase C — FX-/Market-Data-Modul für Aktien/ETFs

Ziel:
Die bereits importierten True-Wealth-Positionen und spätere Aktien-/ETF-Positionen sollen lokal bewertet werden können, ohne Live-API im Dashboard und ohne Scheingenauigkeit.

## C0 — Vorprüfung: Missing-FX-Alerts validieren

Bitte zuerst prüfen, ob die aktuellen `missing_fx`-Alerts bei den 3 True-Wealth-Initial-Snapshots fachlich korrekt sind.

Prüfen:

* Welche Originalwährung ist pro importierter Transaktion gesetzt?
* Ist die Originalwährung CHF?
* Falls ja:

  * fx_rate_to_chf = 1
  * fx_source = not_needed
  * fx_status = not_needed
  * kein missing_fx Alert
* Falls USD/EUR/andere Fremdwährung:

  * missing_fx bleibt korrekt, bis historische FX-Rate vorhanden ist

Bitte nur aggregiert berichten:

* Anzahl importierte True-Wealth-Positionen
* Anzahl CHF-Positionen
* Anzahl Fremdwährungspositionen
* Anzahl wirklich berechtigte missing_fx Alerts
* Anzahl false-positive missing_fx Alerts
* keine Werte/Mengen/Kontostände

Falls false-positive Alerts existieren, bitte korrigieren:

* Audit-Log schreiben
* Data-Quality-Alert resolved setzen
* keine stillen Änderungen ohne Audit
* keine echten Werte im Chat

## C1 — FX Provider / FX Rates Modul

Bitte implementiere oder erweitere das FX-Modul für historische und aktuelle FX-Kurse.

Anforderungen:

* CHF bleibt Basiswährung
* CHF/CHF = 1
* Unterstützte Währungen MVP:

  * USD/CHF
  * EUR/CHF
  * ggf. weitere, falls in Daten vorhanden
* Historische FX-Rates nach Datum
* Latest FX-Rates für aktuelle Bewertung
* Speicherung in fx_rates
* Keine Live-API im Dashboard
* CLI-Command, z.B.:

  * finance update-fx-rates --date YYYY-MM-DD
  * finance update-fx-rates --latest
  * finance update-fx-rates --missing-only
  * finance update-fx-rates --dry-run
* Provider-Abstraktion
* Mock Provider für Tests
* optional realer Provider später konfigurierbar
* Rate-Limit/Backoff vorbereiten
* Manual Override weiterhin möglich, aber mit Audit und Notiz

Data Quality:

* fehlende FX erzeugt Alert
* veraltete FX erzeugt Alert
* gelöste FX-Probleme setzen Alert auf resolved
* keine Alert-Flut

Tests:

* CHF/CHF = 1
* USD/EUR zu CHF werden gespeichert
* fehlende FX bleibt warning/critical
* vorhandene FX löst missing_fx Alert auf
* Manual Override braucht Notiz und Audit
* Dashboard liest nur lokale FX-Daten

## C2 — Instrument Price Mapping für Aktien/ETFs

Bitte implementiere eine Mapping-Struktur für Marktpreise.

Grund:
ISIN ist fachlich primär, aber viele Marktdatenanbieter brauchen Provider-Symbole wie AAPL, IWDA.AS, VWRL.SW, EUNL.DE usw.

Bitte Tabelle/Modell vorbereiten:

instrument_price_mappings

Felder:

* mapping_id
* instrument_id
* isin
* ticker
* exchange
* currency
* provider
* provider_symbol
* provider_market
* mapping_status:

  * mapped
  * needs_manual_review
  * missing_provider_symbol
  * ambiguous
  * ignored
* confidence
* notes
* created_at
* updated_at

Regeln:

* ISIN bleibt primäre Identifikation des Instruments
* Provider-Symbol ist Marktdaten-Mapping, nicht Instrument-Wahrheit
* kein automatisches Preis-Mapping nur nach Name
* Ticker ohne Exchange bleibt review-pflichtig
* manuelle Mapping-Bestätigung erzeugt Audit-Log
* fehlendes Provider-Symbol erzeugt Data-Quality-Hinweis

## C3 — Aktien-/ETF Market Price Provider Skeleton

Bitte implementiere ein Market-Price-Modul für Aktien/ETFs, analog zum Crypto-Preisupdate.

Anforderungen:

*
Provid
er-Abstraktion
* lokale Speicherung in market_prices
* Preiswährung speichern
* price_date
* price_timestamp
* close
* optional adjusted_close
* provider
* provider_symbol
* quality_status:

  * fresh
  * stale
  * missing
  * error
  * conflict
* keine Live-API im Dashboard
* Rate-Limit/Backoff vorbereiten
* Batch/Queue vorbereiten, falls Provider es unterstützt
* Mock Provider für Tests

CLI:

* finance update-market-prices --asset-class etf
* finance update-market-prices --asset-class equity
* finance update-market-prices --only-missing
* finance update-market-prices --only-stale
* finance update-market-prices --only-isin ISIN
* finance update-market-prices --limit N
* finance update-market-prices --dry-run

Für diesen Block:

* echte Provider-Integration darf minimal sein
* wichtiger ist saubere Architektur, lokale Speicherung, Tests und Data Quality
* keine echten Aktien-/ETF-Werte im Chat

## C4 — Bewertung importierter Aktien-/ETF-Positionen

Bitte nach C1–C3 für die 3 True-Wealth-Positionen prüfen:

* Instrument Mapping vorhanden?
* Provider Symbol vorhanden?
* lokaler Marktpreis vorhanden?
* FX vorhanden oder not_needed?
* Position kann in CHF bewertet werden?
* falls nein: klarer Data-Quality-Hinweis
* keine Scheingenauigkeit bei Performance/Total Return
* keine Live-API im Dashboard

Bitte Dashboard/Equity-Seite so erweitern, dass sie anzeigt:

* Position vorhanden
* Preisstatus
* FX-Status
* Bewertungsstatus
* Data-Quality-Status
* Total Return nur, wenn Daten vollständig genug sind
* ansonsten „unvollständig“ / warning

## C5 — Data Quality Center erweitern

Bitte Data Quality Center ergänzen für Aktien/ETFs:

* missing_provider_symbol
* missing_market_price
* stale_market_price
* missing_fx
* stale_fx
* cost_basis_uncertain
* snapshot_only
* missing_isin
* ambiguous_instrument_mapping
* price_currency_mismatch

Aktionen:

* Recheck
* Resolve fixed alerts
* Link zur Manual Review Queue
* Link zum Instrument Price Mapping

## C6 — Tests

Bitte Tests ergänzen für:

FX:

* CHF/CHF not_needed
* USD/EUR FX speichern
* missing_fx Alert
* FX Alert wird resolved, wenn Kurs vorhanden
* Manual Override Audit

Instrument Price Mapping:

* ISIN-basiertes Instrument
* fehlendes Provider-Symbol erzeugt warning
* Ticker ohne Exchange bleibt review-pflichtig
* Mapping-Bestätigung erzeugt Audit

Market Prices:

* Mock Provider speichert Preis
* fehlender Preis erzeugt Alert
* stale price erzeugt Alert
* resolved Alert bei frischem Preis
* Dashboard nutzt lokale Preise
* kein Live-API beim Rendern

Position Valuation:

* CHF-Position mit Preis kann bewertet werden
* Fremdwährungsposition braucht FX
* fehlender FX verhindert präzise CHF-Bewertung
* fehlender Marktpreis verhindert Bewertung
* Total Return wird nicht präzise behauptet, wenn Cost Basis/FX/Preis fehlt

Safety:

* keine echten Finanzdateien im Repo
* Git-Safety OK

## C7 — Produktiver vorsichtiger Lauf

Nach Implementierung bitte vorsichtig gegen Runtime-DB laufen lassen:

1. FX-Recheck für die 3 True-Wealth-Positionen
2. Market-Price-Mapping prüfen
3. Preisupdate nur, wenn Provider-Mapping vorhanden ist
4. Keine Massenprovider-Calls
5. Keine echten Werte im Chat

Bericht nur aggregiert:

* True-Wealth-Positionen total
* Positionen mit FX OK/not_needed
* Positionen mit missing FX
* Positionen mit Market Price OK
* Positionen mit missing Market Price
* Positionen mit vollständiger CHF-Bewertung
* aktive Alerts nach Kategorie
* keine Preise, Mengen, Werte

## C8 — Nach Abschluss

Bitte ausführen:

* Compile
* pytest
* Git-Safety
* Git Status

Wenn Code geändert wurde:

* Commit mit sinnvoller Message
* Push auf main

Bitte berichten:

* implementierte Module
* neue/geänderte Dateien
* Tests
* Testergebnis
* Git-Safety
* Commit Hash
* Push Status
* FX-Status aggregiert
* Market-Price-Status aggregiert
* Data-Quality-Status aggregiert
* nächste Empfehlung

Wichtig:
Noch keine weiteren True-Wealth/PostFinance/Raiffeisen-Positionen importieren, bis die drei bereits importierten True-Wealth-Positionen sauber hinsichtlich FX und Market Price behande
lt werden.


[skill_view] name=test-driven-development (10,920 chars)


todo

C0 Missing-FX-Alerts der 3 True-Wealth-Initial-Snapshots validieren und ggf. korrigieren

C1 FX-Rates Modul/CLI/Data-Quality mit Tests implementieren

C2 Instrument Price Mapping Modell/Audit/Data-Quality mit Tests implementieren

C3 Market Price Provider Skeleton/CLI/local storage/Data-Quality mit Tests implementieren

C4/C5 Equity Bewertung und Data Quality Center lokal erweitern

C7 Runtime-Recheck vorsichtig aggregiert ausführen

C8 Compile/pytest/Git-Safety/Git Status, Commit+Push


[todo] updated task list


terminal

set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
PYTHONPATH=src python - <<'PY'
import json
from jarvis_finance.config.settings import load_settings
from jarvis_finance.storage.database i...[truncated]


[terminal] ran `set -euo pipefail
cd /home/agent/.hermes/repos/FinanceManager
PYTHONPATH=src ...` -> exit 0, 1 lines output


Explanation:
**Considering entity alerts**

I’m thinking that alerts might need to be focused on the entity’s position rather than the transaction. I'm curious whether I should be looking at things like null currency and the entity ID — maybe linked to the account or instrument? I’ll need to check this later. Also, I want to ensure that I avoid false positives. I should inspect the schema for fx_rates and market_prices to see if they even exist.


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py from line 1 (2,781 chars)


cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'
from jarvis_finance.storage.database import connect_memory
from jarvis_finance.storage.migrations import apply_migrations
...[truncated]


[terminal] ran `cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src python - <<'PY'...` -> exit 0, 1 lines output


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/rates.py from line 1 (1,423 chars)


     1|from __future__ import annotations
     2|
     3|


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market/providers.py from line 1 (17,428 chars)


Explanation:
**Considering schema creation**

I think I need to generate an initial string for the schema. I'll start by adding a table for instrument price mappings. We have existing market prices, but I'm wondering if I should include the provider market as well. It might be a good idea to add that. I’ll also need to figure out the main command for the Command-Line Interface (CLI). Let's get this organized!


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py from line 1 (8,779 chars)


Explanation:
**Considering TDD implementation**

I'm thinking about how to implement Test-Driven Development (TDD). My plan is to write tests first, starting with the components in a single file. Once that's done, I can implement the code needed. I wonder if I could use execute_code to write those tests. I also need to inspect the dashboard pages and the data there. It might help to evaluate what fields the positions have too!


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py from line 1 (11,868 chars)


Explanation:
**Planning valuations and tests**

I'm looking to assess the latest quality status and possibly use fresh data. It seems I’ll need to create alert snapshots based on cost basis. To ensure everything is in check, I think it’s best to write tests first, even if the existing code might pass some of those. I'll focus on writing tests for the new modules to catch any potential failures. Let's make sure everything is well-prepared!

from __future__ import annotations

from decimal import Decimal

import pytest

from jarvis_finance.fx.rates import get_fx_rate_to_chf, update_fx_rates, upsert_fx_rate
from jarvis_finance.fx.overrides...[truncated]


cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src pytest -q tests/unit/test_fx_market_data_phase_c.py


[terminal] ran `cd /home/agent/.hermes/repos/FinanceManager && PYTHONPATH=src pytest -q tests...` -> exit 2, 1 lines output


Explanation:
**Implementing migrations and helpers**

I need to implement migrations for version 9 and create a table. I want to ensure I know the necessary helpers to do this effectively. One of my tasks is to deduplicate alerts with the `create_alert` function. I should probably investigate any specific requirements for these migrations and how to integrate the helpers smoothly into the process. Let's make sure that everything aligns well to avoid issues later!


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/quality/alerts.py from line 1 (3,727 chars)


Explanation:
**Planning database migrations**

I’m thinking about how to implement the necessary modules. I need to use `write_file` and handle migrations properly. Should I ensure schema constraints? PRAGMA shows that there's a unique conflict, so I might want to ensure that the initial setup has UNIQUE constraints. For `market_prices`, I’m unsure if I need it to be unique, but I do need to use insert for that. Also, I need to add the `instrument_price_mappings` table and determine if `provider_market` is unique. I’ll also have to migrate version 9 and use a patch.


[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 1 (16,793 chars)


patch

MIGRATION_VERSION = 8
MIGRATION_NAME = "008_transaction_void_corrections"

MIGRATION_VERSION = 9
MIGRATION_NAME = "009_fx_market_data_phase_c"


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (646 chars result)


def _create_fx_market_data_tables(conn: Connection) -> None:
    conn.executescript(
        """
        CREATE TABLE IF NOT EXISTS instrument_price_mappings (
            mapping_id TEXT PRIMARY KEY,...[truncated]

def _apply_compat_migrations(conn: Connection) -> None:


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (2,141 chars result)


    _create_broker_import_execution_plans(conn)
    _add_transaction_void_columns(conn)
    _create_fx_market_data_tables(conn)


[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (610 chars result)


from __future__ import annotations

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

from jarvis_finance.imports.comm...[truncated]


from __future__ import annotations

from decimal import Decimal

class MockFxProvider:
    name = "mock"

    def __init__(self, rates: dict[tuple[str, str, str], Decimal | str | None]) -> None:
    ...[truncated]


from __future__ import annotations

from decimal import Decimal
from sqlite3 import Connection

from jarvis_finance.audit.log import record_audit_event
from jarvis_finance.fx.rates import upsert_fx_ra...[truncated]


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 import stable_id, utc_now
from jarvis_finance.quality.alerts import create_alert

@dataclass(frozen=True)
class EquityPriceQuote:
    provider_symbol: str
    currency: str
    close: Decimal | None
    provider: str = "mock"
    provider_market: str | None = None
    price_timestamp: str | None = None
    adjusted_close: Decimal | None = None
    quality_status: str = "fresh"
    error_message: str | None = None

@dataclass
class MarketPriceRefreshResult:
    asset_class: str
    total_mappings: int = 0
    updated_count: int = 0
    skipped_count: int = 0
    cached_count: int = 0
    stale_count: int = 0
    warning_count: int = 0
    error_count: int = 0
    dry_run: bool = False
    warnings: list[str] = field(default_factory=list)
    errors: list[str] = field(default_factory=list)

class EquityPriceProvider(Protocol):
    name: str
    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote: ...

class MockEquityPriceProvider:
    name = "mock"

    def __init__(self, prices: dict[str, Decimal | str | None], *, currency: str = "USD") -> None:
        self.prices = {k: (Decimal(str(v)) if v is not None else None) for k, v in prices.items()}
        self.currency = currency.upper()

    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:
        if provider_symbol not in self.prices or self.prices[provider_symbol] is None:
            return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=None, quality_status="missing", error_message="price missing", provider=self.name)
        return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=self.prices[provider_symbol], provider=self.name)

def _resolve_market_alerts(conn: Connection, *, instrument_id: str) -> int:
    now = utc_now()
    rows = conn.execute("SELECT alert_id FROM alerts WHERE status='active' AND entity_type='instrument' AND entity_id=? AND rule_id IN ('missing_market_price','stale_market_price')", (instrument_id,)).fetchall()
    for row in rows:
        conn.execute("UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?", (now, now, row["alert_id"]))
    return len(rows)

def store_market_price(
    conn: Connection,
    *,
    instrument_id: str,
    price_date: str,
    close: Decimal | None,
    currency: str,
    provider: str,
    provider_symbol: str | None,
    provider_market: str | None = None,
    price_timestamp: str | None = None,
    adjusted_close: Decimal | None = None,
    quality_status: str = "fresh",
    error_message: str | None = None,
) -> str:
    now = utc_now()
    market_price_id = stable_id("marketprice", instrument_id, price_date, provider, provider_symbol or "", now)
    conn.execute(
        """
        INSERT INTO market_prices(
            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,
            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message
        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
        """,
        (
            market_price_id,
            instrument_id,
            price_date,
            price_timestamp,
            format(close, "f") if close is not None else "",
            format(adjusted_close, "f") if adjusted_close is not None else None,
            currency.upper(),
            provider,
            provider_symbol,
            quality_status,
            now,
            provider_market,
            error_message,
        ),
    )
    if quality_status in {"missing", "stale", "error", "conflict"} or close is None:
        rule = "stale_market_price" if quality_status == "stale" else "missing_market_price"
        create_alert(conn, priority="warnung", category="market_data", entity_type="instrument", entity_id=instrument_id, rule_id=rule, message="Instrument local market price is not fresh.", evidence={"provider": provider, "provider_symbol": provider_symbol, "price_date": price_date, "quality_status": quality_status}, fingerprint=f"{rule}:{provider}:{provider_symbol}")
    elif quality_status == "fresh":
        _resolve_market_alerts(conn, instrument_id=instrument_id)
    conn.commit()
    return market_price_id

def refresh_market_prices(
    conn: Connection,
    *,
    provider: EquityPriceProvider,
    asset_class: str,
    price_date: str | None = None,
    only_missing: bool = False,
    only_stale: bool = False,
    only_isin: str | None = None,
    limit: int | None = None,
    dry_run: bool = False,
) -> MarketPriceRefreshResult:
    asset = asset_class.lower()
    result = MarketPriceRefreshResult(asset_class=asset, dry_run=dry_run)
    query = """
        SELECT m.*, i.asset_class, i.isin 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
    """
    mappings = conn.execute(query, (asset,)).fetchall()
    if only_isin:
        mappings = [m for m in mappings if (m["isin"] or "").upper() == only_isin.upper()]
    if limit is not None:
        mappings = mappings[:limit]
    result.total_mappings = len(mappings)
    effective_date = price_date or utc_now()[:10]
    for mapping in mappings:
        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:
            result.cached_count += 1
            continue
        if only_stale and latest and latest["price_date"] >= effective_date:
            result.cached_count += 1
            continue
        quote = provider.get_price(mapping["provider_symbol"], price_date=effective_date)
        status = quote.quality_status
        if not dry_run:
            store_market_price(
                conn,
                instrument_id=mapping["instrument_id"],
                price_date=effective_date,
                close=quote.close,
                currency=quote.currency or mapping["currency"],
                provider=quote.provider or provider.name,
                provider_symbol=mapping["provider_symbol"],
                provider_market=mapping["provider_market"],
                price_timestamp=quote.price_timestamp,
                adjusted_close=quote.adjusted_close,
                quality_status=status,
                error_message=quote.error_message,
            )
        if quote.close is not None and status == "fresh":
            result.updated_count += 1
        elif status in {"missing", "stale"}:
            result.warning_count += 1
            result.warnings.append(mapping["instrument_id"])
            if status == "stale":
                result.stale_count += 1
        else:
            result.error_count += 1
            result.errors.append(mapping["instrument_id"])
    if not dry_run:
        conn.commit()
    return result


Explanation:
**Managing market positions**

I'm recognizing that I need to set positions using a fresh or okay status for the FX market. I also need to edit the latest market selection to indicate a quality status of fresh or okay. There’s some uncertainty with the initial snapshot cost basis—do I also need to check the CHF updates? If the user mentions false positives in the audit, I need to clarify there aren’t any issues, plus avoid circular dependencies in the FX rates.

from jarvis_finance.quality.alerts import create_alert
from jarvis_finance.fx.rates import latest_fx_rate


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
@@ -7,6 +7,7 @@
 from jarvis_finance.audit.log import record_audit_event
 from jarvis_finance.imports.common import stable_id, utc_now
 from jarvis_finance.quality.alerts import create_alert
+from jarvis_finance.fx.rates import latest_fx_rate

 from .cost_basis import WeightedAverageLot


            SELECT close, currency FROM market_prices
            WHERE instrument_id=? AND price_date <= ? AND quality_status IN ('fresh','ok')

            SELECT close, currency FROM market_prices
            WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
@@ -59,7 +59,7 @@
         return conn.execute(
             """
             SELECT close, currency FROM market_prices
-            WHERE instrument_id=? AND price_date <= ? AND quality_status='ok'
+            WHERE instrument_id=? AND price_date <= ? AND quality_status IN ('fresh','ok')
             ORDER BY price_date DESC, created_at DESC LIMIT 1
             """,
             (instrument_id, as_of_date),


        SELECT close, currency FROM market_prices
        WHERE instrument_id=? AND quality_status IN ('fresh','ok')

        SELECT close, currency FROM market_prices
        WHERE instrument_id=? AND quality_status='ok'


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
@@ -67,7 +67,7 @@
     return conn.execute(
         """
         SELECT close, currency FROM market_prices
-        WHERE instrument_id=? AND quality_status='ok'
+        WHERE instrument_id=? AND quality_status IN ('fresh','ok')
         ORDER BY price_date DESC, created_at DESC LIMIT 1
         """,
         (instrument_id,),


        elif t in {"dividend", "etf_distribution"}:
            income_original = _d(row["net_amount_original"]) if row["net_amount_original"] is not None else gross - fee - tax
            if fx is not None:
                pos.income_chf += income_original * fx
                pos.fees_chf += fee * fx
                pos.taxes_chf += tax * fx
        if t == "initial_position_snapshot":
            _add_warning(conn, pos, "snapshot_only", "Initial snapshot lacks full transaction history; performance is incomplete.")
            if gross == 0 or fx is None:
                _add_warning(conn, pos, "cost_basis_uncertain", "Cost basis is uncertain for this initial snapshot.")


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
@@ -137,6 +137,10 @@
                 pos.income_chf += income_original * fx
                 pos.fees_chf += fee * fx
                 pos.taxes_chf += tax * fx
+        if t == "initial_position_snapshot":
+            _add_warning(conn, pos, "snapshot_only", "Initial snapshot lacks full transaction history; performance is incomplete.")
+            if gross == 0 or fx is None:
+                _add_warning(conn, pos, "cost_basis_uncertain", "Cost basis is uncertain for this initial snapshot.")
     for key, lot in lots.items():
         pos = result.positions[key]
         pos.quantity = lot.quantity.normalize()


            # MVP: use only local FX data; dashboards never call providers during render.
            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)
            else:
                fx_row = latest_fx_rate(conn, base_currency=market["currency"], quote_currency="CHF", rate_date=as_of_date)
                if fx_row:
                    market_fx = _d(fx_row["rate"])
                    pos.market_value_chf = _money(pos.market_value_original * market_fx) if pos.market_value_original is not None else None
                    if pos.market_value_chf is not None:
                        pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)
                else:
                    _add_warning(conn, pos, "missing_fx", "Market FX is missing; CHF valuation is incomplete.")
        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:

            # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.
            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)
            else:
                _add_warning(conn, pos, "missing_fx", "Market FX is missing; CHF valuation is incomplete.")
        if pos.market_value_chf is not None and "missing_fx" not in pos.quality_warnings:


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/ledger/positions.py
@@ -158,13 +158,20 @@
         else:
             pos.market_price_original = _d(market["close"])
             pos.market_value_original = _money(pos.quantity * pos.market_price_original)
-            # MVP: market FX is 1 for CHF prices; non-CHF market FX will be added when price/FX provider pipeline lands.
+            # MVP: use only local FX data; dashboards never call providers during render.
             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)
             else:
-                _add_warning(conn, pos, "missing_fx", "Market FX is missing; CHF valuation is incomplete.")
-        if pos.market_value_chf is not None and "missing_fx" not in pos.quality_warnings:
+                fx_row = latest_fx_rate(conn, base_currency=market["currency"], quote_currency="CHF", rate_date=as_of_date)
+                if fx_row:
+                    market_fx = _d(fx_row["rate"])
+                    pos.market_value_chf = _money(pos.market_value_original * market_fx) if pos.market_value_original is not None else None
+                    if pos.market_value_chf is not None:
+                        pos.unrealized_pnl_chf = _money(pos.market_value_chf - pos.cost_basis_chf)
+                else:
+                    _add_warning(conn, pos, "missing_fx", "Market FX is missing; CHF valuation is incomplete.")
+        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:
             pos.total_return_chf = _money((pos.unrealized_pnl_chf or Decimal("0")) + pos.realized_pnl_chf + pos.income_chf - pos.fees_chf - pos.taxes_chf)
         else:
             pos.total_return_chf = None


Explanation:
**Running tests for dashboard data**

I need to check the dashboard data and see if the `get_positions` function returns any warnings related to quality. I think running a test is the right approach here to verify that everything is functioning correctly. Testing now should help identify any underlying issues or reassure me that the data is reliable.  It's important to ensure the integrity of the dashboard data for accurate insights. Alright, let’s get to it!


terminal

{"output": ".....FF.                                                                 [100%]\n=================================== FAILURES ===================================\n___ test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert ____\n\n    def test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> None:\n        conn = setup_conn()\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\n        conn.execute(\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mp1','warnung','market_data','instrument','usd1','missing_market_price','missing','active','now')\")\n        provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\n    \n        result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\n    \n        assert result.updated_count == 1\n        price = conn.execute(\"SELECT close, quality_status FROM market_prices WHERE instrument_id='usd1'\").fetchone()\n>       assert price['close'] == '10.25'\nE       AssertionError: assert 10.25 == '10.25'\n\ntests/unit/test_fx_market_data_phase_c.py:106: AssertionError\n____________ test_missing_and_stale_market_price_alerts_are_deduped ____________\n\n    def test_missing_and_stale_market_price_alerts_are_deduped() -> None:\n        conn = setup_conn()\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\n        provider = MockEquityPriceProvider({'USETF.N': None})\n    \n        result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\n>       result2 = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/unit/test_fx_market_data_phase_c.py:117: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nsrc/jarvis_finance/market_data/prices.py:153: in refresh_market_prices\n    store_market_price(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nconn = <sqlite3.Connection object at 0x70569ccbe110>\n\n    def store_market_price(\n        conn: Connection,\n        *,\n        instrument_id: str,\n        price_date: str,\n        close: Decimal | None,\n        currency: str,\n        provider: str,\n        provider_symbol: str | None,\n        provider_market: str | None = None,\n        price_timestamp: str | None = None,\n        adjusted_close: Decimal | None = None,\n        quality_status: str = \"fresh\",\n        error_message: str | None = None,\n    ) -> str:\n        now = utc_now()\n        market_price_id = stable_id(\"marketprice\", instrument_id, price_date, provider, provider_symbol or \"\", now)\n>       conn.execute(\n            \"\"\"\n            INSERT INTO market_prices(\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n            \"\"\",\n            (\n                market_price_id,\n                instrument_id,\n                price_date,\n                price_timestamp,\n                format(close, \"f\") if close is not None else \"\",\n                format(adjusted_close, \"f\") if adjusted_close is not None else None,\n                currency.upper(),\n                provider,\n                provider_symbol,\n                quality_status,\n                now,\n                provider_market,\n                error_message,\n            ),\n        )\nE       sqlite3.IntegrityError: UNIQUE constraint failed: market_prices.instrument_id, market_prices.price_date, market_prices.provider\n\nsrc/jarvis_finance/market_data/prices.py:83: IntegrityError\n=========================== short test summary info ============================\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_missing_and_stale_market_price_alerts_are_deduped\n2 failed, 6 passed in 0.16s", "exit_code": 1, "error": null}

[Tool loop warning: repeated_exact_failure_warning; count=2; terminal has failed 2 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]


Explanation:
**Considering data types for schema**

I’m thinking about how the close type can be a float since the initial schema is defined as NUMERIC. I might want to add market_prices close to TEXT_AFFINITY, but it seems like the existing setup didn’t include that. It’s also important to think about adding it to TEXT. Plus, I need to remember to use UPSERT to ensure everything is patched correctly. There’s a lot to juggle here!

patch

    "crypto_prices": {"price", "market_cap", "volume_24h", "change_24h_pct"},
    "fx_rates": {"rate"},
    "market_prices": {"open", "high", "low", "close", "adjusted_close"},


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
@@ -23,6 +23,8 @@
     "crypto_holdings": {"quantity", "legacy_snapshot_value_original", "legacy_snapshot_value_chf"},
     "crypto_transactions": {"quantity", "price_original", "gross_amount_original", "fee_quantity", "fee_original", "fx_rate_to_chf", "amount_chf"},
     "crypto_prices": {"price", "market_cap", "volume_24h", "change_24h_pct"},
+    "fx_rates": {"rate"},
+    "market_prices": {"open", "high", "low", "close", "adjusted_close"},
 }


        INSERT INTO market_prices(
            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,
            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message
        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
        ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET
            price_timestamp=excluded.price_timestamp,
            close=excluded.close,
            adjusted_close=excluded.adjusted_close,
            currency=excluded.currency,
            provider_symbol=excluded.provider_symbol,
            quality_status=excluded.quality_status,
            created_at=excluded.created_at,
            provider_market=excluded.provider_market,
            error_message=excluded.error_message
        """,

        INSERT INTO market_prices(
            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,
            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message
        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
        """,


--- 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
@@ -86,6 +86,16 @@
             market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,
             currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message
         ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET
+            price_timestamp=excluded.price_timestamp,
+            close=excluded.close,
+            adjusted_close=excluded.adjusted_close,
+            currency=excluded.currency,
+            provider_symbol=excluded.provider_symbol,
+            quality_status=excluded.quality_status,
+            created_at=excluded.created_at,
+            provider_market=excluded.provider_market,
+            error_message=excluded.error_message
         """,
         (
             market_price_id,


terminal

{"output": ".FF..FFF                                                                 [100%]\n=================================== FAILURES ===================================\n_________ test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx __________\n\n    def test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx() -> None:\n        conn = setup_conn()\n        conn.execute(\"\"\"\n            INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\n            VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','1','USD','missing','test',1,'warning','now')\n        \"\"\")\n        conn.execute(\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('al-usd','kritisch','ledger','instrument','usd1','missing_fx','missing','active','now')\")\n        provider = MockFxProvider({('USD', 'CHF', '2025-12-31'): Decimal('0.9000'), ('EUR', 'CHF', '2025-12-31'): Decimal('0.9500')})\n    \n>       result = update_fx_rates(conn, provider=provider, currencies=['USD', 'EUR'], rate_date='2025-12-31', resolve_fixed=True)\n                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/unit/test_fx_market_data_phase_c.py:55: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nsrc/jarvis_finance/fx/rates.py:165: in update_fx_rates\n    upsert_fx_rate(conn, base_currency=cur, quote_currency=\"CHF\", rate_date=rate_date, rate=rate, provider=getattr(provider, \"name\", \"mock\"), rate_type=\"latest\" if latest else \"close\", quality_status=\"fresh\")\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nconn = <sqlite3.Connection object at 0x76851b5a8c70>\n\n    def upsert_fx_rate(\n        conn: Connection,\n        *,\n        base_currency: str,\n        quote_currency: str,\n        rate_date: str,\n        rate: Decimal,\n        provider: str,\n        rate_type: str,\n        quality_status: str = \"fresh\",\n    ) -> str:\n        base = base_currency.upper()\n        quote = quote_currency.upper()\n        fx_rate_id = stable_id(\"fx\", base, quote, rate_date, provider, rate_type)\n>       conn.execute(\n            \"\"\"\n            INSERT INTO fx_rates(\n                fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\n                rate_type, quality_status, created_at\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\n            ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\n            DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\n            \"\"\",\n            (fx_rate_id, base, quote, rate_date, format(rate, \"f\"), provider, rate_type, quality_status, utc_now()),\n        )\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\n\nsrc/jarvis_finance/fx/rates.py:89: OperationalError\n_______________ test_manual_fx_override_requires_note_and_audit ________________\n\n    def test_manual_fx_override_requires_note_and_audit() -> None:\n        conn = setup_conn()\n        with pytest.raises(ValueError, match=\"note\"):\n            set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='')\n    \n>       rate_id = set_manual_fx_override(conn, base_currency='USD', quote_currency='CHF', rate_date='2025-12-31', rate=Decimal('0.9'), note='bank statement')\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/unit/test_fx_market_data_phase_c.py:67: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nsrc/jarvis_finance/fx/overrides.py:22: in set_manual_fx_override\n    rate_id = upsert_fx_rate(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nconn = <sqlite3.Connection object at 0x76851b5aa2f0>\n\n    def upsert_fx_rate(\n        conn: Connection,\n        *,\n        base_currency: str,\n        quote_currency: str,\n        rate_date: str,\n        rate: Decimal,\n        provider: str,\n        rate_type: str,\n        quality_status: str = \"fresh\",\n    ) -> str:\n        base = base_currency.upper()\n        quote = quote_currency.upper()\n        fx_rate_id = stable_id(\"fx\", base, quote, rate_date, provider, rate_type)\n>       conn.execute(\n            \"\"\"\n            INSERT INTO fx_rates(\n                fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\n                rate_type, quality_status, created_at\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\n            ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\n            DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\n            \"\"\",\n            (fx_rate_id, base, quote, rate_date, format(rate, \"f\"), provider, rate_type, quality_status, utc_now()),\n        )\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\n\nsrc/jarvis_finance/fx/rates.py:89: OperationalError\n___ test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert ____\n\n    def test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert() -> None:\n        conn = setup_conn()\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\n        conn.execute(\"INSERT INTO alerts(alert_id,priority,category,entity_type,entity_id,rule_id,message,status,created_at) VALUES('mp1','warnung','market_data','instrument','usd1','missing_market_price','missing','active','now')\")\n        provider = MockEquityPriceProvider({'USETF.N': Decimal('10.25')})\n    \n>       result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\n                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/unit/test_fx_market_data_phase_c.py:102: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nsrc/jarvis_finance/market_data/prices.py:163: in refresh_market_prices\n    store_market_price(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nconn = <sqlite3.Connection object at 0x76851b5aa4d0>\n\n    def store_market_price(\n        conn: Connection,\n        *,\n        instrument_id: str,\n        price_date: str,\n        close: Decimal | None,\n        currency: str,\n        provider: str,\n        provider_symbol: str | None,\n        provider_market: str | None = None,\n        price_timestamp: str | None = None,\n        adjusted_close: Decimal | None = None,\n        quality_status: str = \"fresh\",\n        error_message: str | None = None,\n    ) -> str:\n        now = utc_now()\n        market_price_id = stable_id(\"marketprice\", instrument_id, price_date, provider, provider_symbol or \"\", now)\n>       conn.execute(\n            \"\"\"\n            INSERT INTO market_prices(\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n            ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\n                price_timestamp=excluded.price_timestamp,\n                close=excluded.close,\n                adjusted_close=excluded.adjusted_close,\n                currency=excluded.currency,\n                provider_symbol=excluded.provider_symbol,\n                quality_status=excluded.quality_status,\n                created_at=excluded.created_at,\n                provider_market=excluded.provider_market,\n                error_message=excluded.error_message\n            \"\"\",\n            (\n                market_price_id,\n                instrument_id,\n                price_date,\n                price_timestamp,\n                format(close, \"f\") if close is not None else \"\",\n                format(adjusted_close, \"f\") if adjusted_close is not None else None,\n                currency.upper(),\n                provider,\n                provider_symbol,\n                quality_status,\n                now,\n                provider_market,\n                error_message,\n            ),\n        )\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\n\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\n____________ test_missing_and_stale_market_price_alerts_are_deduped ____________\n\n    def test_missing_and_stale_market_price_alerts_are_deduped() -> None:\n        conn = setup_conn()\n        confirm_instrument_price_mapping(conn, instrument_id='usd1', provider='mock', provider_symbol='USETF.N', provider_market='NYSE', confidence='manual', note='test mapping')\n        provider = MockEquityPriceProvider({'USETF.N': None})\n    \n>       result = refresh_market_prices(conn, provider=provider, asset_class='etf', price_date='2026-01-02')\n                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/unit/test_fx_market_data_phase_c.py:116: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \nsrc/jarvis_finance/market_data/prices.py:163: in refresh_market_prices\n    store_market_price(\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nconn = <sqlite3.Connection object at 0x76851b5aa3e0>\n\n    def store_market_price(\n        conn: Connection,\n        *,\n        instrument_id: str,\n        price_date: str,\n        close: Decimal | None,\n        currency: str,\n        provider: str,\n        provider_symbol: str | None,\n        provider_market: str | None = None,\n        price_timestamp: str | None = None,\n        adjusted_close: Decimal | None = None,\n        quality_status: str = \"fresh\",\n        error_message: str | None = None,\n    ) -> str:\n        now = utc_now()\n        market_price_id = stable_id(\"marketprice\", instrument_id, price_date, provider, provider_symbol or \"\", now)\n>       conn.execute(\n            \"\"\"\n            INSERT INTO market_prices(\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n            ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\n                price_timestamp=excluded.price_timestamp,\n                close=excluded.close,\n                adjusted_close=excluded.adjusted_close,\n                currency=excluded.currency,\n                provider_symbol=excluded.provider_symbol,\n                quality_status=excluded.quality_status,\n                created_at=excluded.created_at,\n                provider_market=excluded.provider_market,\n                error_message=excluded.error_message\n            \"\"\",\n            (\n                market_price_id,\n                instrument_id,\n                price_date,\n                price_timestamp,\n                format(close, \"f\") if close is not None else \"\",\n                format(adjusted_close, \"f\") if adjusted_close is not None else None,\n                currency.upper(),\n                provider,\n                provider_symbol,\n                quality_status,\n                now,\n                provider_market,\n                error_message,\n            ),\n        )\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\n\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\n_ test_position_valuation_requires_market_price_and_fx_without_fake_total_return _\n\n    def test_position_valuation_requires_market_price_and_fx_without_fake_total_return() -> None:\n        conn = setup_conn()\n        conn.execute(\"\"\"\n            INSERT INTO transactions(transaction_id, transaction_type, account_id, instrument_id, trade_date, quantity, currency_original, fx_status, source_type, is_confirmed, quality_status, created_at)\n            VALUES('tx-usd','initial_position_snapshot','a1','usd1','2025-12-31','2','USD','missing','test',1,'warning','now')\n        \"\"\")\n>       store_market_price(conn, instrument_id='usd1', price_date='2026-01-02', close=Decimal('10'), currency='USD', provider='mock', provider_symbol='USETF.N', quality_status='fresh')\n\ntests/unit/test_fx_market_data_phase_c.py:130: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nconn = <sqlite3.Connection object at 0x76851b5aad40>\n\n    def store_market_price(\n        conn: Connection,\n        *,\n        instrument_id: str,\n        price_date: str,\n        close: Decimal | None,\n        currency: str,\n        provider: str,\n        provider_symbol: str | None,\n        provider_market: str | None = None,\n        price_timestamp: str | None = None,\n        adjusted_close: Decimal | None = None,\n        quality_status: str = \"fresh\",\n        error_message: str | None = None,\n    ) -> str:\n        now = utc_now()\n        market_price_id = stable_id(\"marketprice\", instrument_id, price_date, provider, provider_symbol or \"\", now)\n>       conn.execute(\n            \"\"\"\n            INSERT INTO market_prices(\n                market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\n                currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n            ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\n                price_timestamp=excluded.price_timestamp,\n                close=excluded.close,\n                adjusted_close=excluded.adjusted_close,\n                currency=excluded.currency,\n                provider_symbol=excluded.provider_symbol,\n                quality_status=excluded.quality_status,\n                created_at=excluded.created_at,\n                provider_market=excluded.provider_market,\n                error_message=excluded.error_message\n            \"\"\",\n            (\n                market_price_id,\n                instrument_id,\n                price_date,\n                price_timestamp,\n                format(close, \"f\") if close is not None else \"\",\n                format(adjusted_close, \"f\") if adjusted_close is not None else None,\n                currency.upper(),\n                provider,\n                provider_symbol,\n                quality_status,\n                now,\n                provider_market,\n                error_message,\n            ),\n        )\nE       sqlite3.OperationalError: ON CONFLICT clause does not match any PRIMARY KEY or UNIQUE constraint\n\nsrc/jarvis_finance/market_data/prices.py:83: OperationalError\n=========================== short test summary info ============================\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_update_fx_rates_stores_usd_eur_and_resolves_missing_fx\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_manual_fx_override_requires_note_and_audit\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_refresh_market_prices_with_mock_provider_stores_and_resolves_alert\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_missing_and_stale_market_price_alerts_are_deduped\nFAILED tests/unit/test_fx_market_data_phase_c.py::test_position_valuation_requires_market_price_and_fx_without_fake_total_return\n5 failed, 3 passed in 0.17s", "exit_code": 1, "error": null}

[Tool loop warning: repeated_exact_failure_warning; count=3; terminal has failed 3 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]


Explanation:
**Evaluating database schema**

I’m considering whether the initial schema has uniqueness. It seems there was an error previously regarding this "unique" aspect. After a rebuild, I might have lost that uniqueness. I need to create unique indexes, but they won't resolve conflicts unless the index is actually unique. It looks like the index isn't unique as it stands, so I need to ensure I create a unique index for both fx and market. Also, existing data may have duplicates, so I need to use CREATE UNIQUE INDEX.

patch

    conn.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)")
    conn.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_fx_rates_unique_provider_date ON fx_rates(base_currency, quote_currency, rate_date, provider, rate_type)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)")

    conn.execute("CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)")
    conn.execute("CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)")


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py
@@ -322,7 +322,9 @@
         "provider_market": "TEXT",
         "error_message": "TEXT",
     })
+    conn.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_market_prices_unique_provider_date ON market_prices(instrument_id, price_date, provider)")
     conn.execute("CREATE INDEX IF NOT EXISTS idx_market_prices_instrument_date ON market_prices(instrument_id, price_date)")
+    conn.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_fx_rates_unique_provider_date ON fx_rates(base_currency, quote_currency, rate_date, provider, rate_type)")
     conn.execute("CREATE INDEX IF NOT EXISTS idx_fx_rates_pair_date ON fx_rates(base_currency, quote_currency, rate_date)")


terminal

Output:
........                                                                 [100%]
8 passed in 0.12s


Explanation:
**Updating data schema**

I need to update the schema for the tests version and check what table is required. The CLI needs updating too, specifically for including equity in the data quality and ensuring the dashboard is not live. Existing positions should be sufficient for now. I think I need to perform update-fx-rates and update-market-prices in the CLI. Is user C5 DQ center already handling support through alerts? Do I need to create a page for this? It might be necessary to inspect the Data Quality Center further.


     1|from __future__ import annotations
     2|
     3|from jarvis_finance.dashboard import data
     4|from jarvis_finance.dashboard.components.tables import show_table
     5|
     6|PAGE_TITLE = "Data Quality Center"
     7|
     8|
     9|def render(st, conn) -> None:
    10|    st.title("Data Quality Center")
    11|    st.caption("Alerts, Preise, FX, ISIN, Parser-/Review-Flags, Readiness und Safe-Mode-Prüfungen.")
    12|    st.subheader("Data Quality Checks")
    13|    show_table(st, data.get_data_quality(conn))
    14|    st.subheader("Review Items nach Quality Flag")
    15|    show_table(st, data.get_review_quality_flag_counts(conn))
    16|    st.subheader("Import Readiness")
    17|    show_table(st, data.get_review_readiness_counts(conn))
    18|    st.subheader("Ready for Import je Quelle")
    19|    show_table(st, data.get_ready_for_import_by_source(conn))
    20|    st.subheader("Alerts")
    21|    show_table(st, data.get_alerts(conn))
    22|    st.subheader("Sichere Aktionen")
    23|    st.button("Data Quality Recheck", disabled=True)
    24|    st.button("Resolve Fixed Alerts", disabled=True)
    25|    st.button("Review Items aktualisieren", disabled=True)
    26|    st.button("Produktiven Import starten", disabled=True)
    27|    st.info("Links zur Review Queue können über die Navigation/Filter genutzt werden; produktive Commit-Aktionen bleiben deaktiviert.")
    28|


     1|from __future__ import annotations
     2|
     3|import json
     4|from decimal import Decimal, InvalidOperation, ROUND_HALF_UP
     5|from pathlib import Path
     6|from sqlite3 import Connection
     7|
     8|from jarvis_finance.config.settings import Settings
     9|from jarvis_finance.crypto.holdings import calculate_crypto_holdings
    10|from jarvis_finance.ledger.cash import calculate_cash_balances
    11|from jarvis_finance.ledger.positions import calculate_positions
    12|from jarvis_finance.market.providers import is_price_stale
    13|
    14|MONEY = Decimal("0.01")
    15|
    16|
    17|def d(value: object, default: str = "0") -> Decimal:
    18|    if value is None or str(value).strip() == "":
    19|        return Decimal(default)
    20|    try:
    21|        return Decimal(str(value))
    22|    except InvalidOperation:
    23|        return Decimal(default)
    24|
    25|
    26|def dec_text(value: Decimal | int | str | None, places: str | None = None) -> str:
    27|    if value is None:
    28|        return ""
    29|    value = d(value)
    30|    if places:
    31|        value = value.quantize(Decimal(places), rounding=ROUND_HALF_UP)
    32|    return format(value, "f")
    33|
    34|
    35|def money_text(value: Decimal | None, currency: str = "CHF") -> str:
    36|    if value is None:
    37|        return f"n/a {currency}"
    38|    return f"{dec_text(value, '0.01')} {currency}"
    39|
    40|
    41|def rowdicts(rows) -> list[dict[str, str]]:
    42|    return [{k: ("" if row[k] is None else str(row[k])) for k in row.keys()} for row in rows]
    43|
    44|
    45|def db_exists(path: str | Path) -> bool:
    46|    return Path(path).expanduser().exists()
    47|
    48|
    49|def runtime_outside_repo(settings: Settings, repo_root: Path) -> bool:
    50|    try:
    51|        settings.runtime_paths.base_dir.resolve().relative_to(repo_root.resolve())
    52|        return False
    53|    except ValueError:
    54|        return True
    55|
    56|
    57|def latest_crypto_price(conn: Connection, asset_id: str, currency: str = "CHF", *, max_age_seconds: int = 86_400) -> dict[str, str] | None:
    58|    row = conn.execute(
    59|        """
    60|        SELECT price, price_currency, fetched_at, provider_timestamp, quality_status, provider
    61|        FROM crypto_prices
    62|        WHERE asset_id=? AND price_currency=?
    63|        ORDER BY COALESCE(provider_timestamp, fetched_at, '') DESC, fetched_at DESC LIMIT 1
    64|        """,
    65|        (asset_id, currency.upper()),
    66|    ).fetchone()
    67|    if not row:
    68|        return None
    69|    item = dict(row)
    70|    ts = item.get("provider_timestamp") or item.get("fetched_at")
    71|    if item.get("quality_status") == "fresh" and is_price_stale(ts, max_age_seconds=max_age_seconds):
    72|        item["quality_status"] = "stale"
    73|    return item
    74|
    75|
    76|def get_crypto_overview(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:
    77|    holdings = calculate_crypto_holdings(conn)
    78|    rows: list[dict[str, str]] = []
    79|    for asset_id, holding in sorted(holdings.total_by_asset.items()):
    80|        qty = holding.quantity
    81|        asset = conn.execute("SELECT * FROM crypto_assets WHERE asset_id=?", (asset_id,)).fetchone()
    82|        if not asset:
    83|            continue
    84|        price = latest_crypto_price(conn, asset_id, "CHF", max_age_seconds=price_max_age_seconds)
    85|        price_dec = d(price["price"]) if price and price["price"] else None
    86|        value = qty * price_dec if price_dec is not None else None
    87|        rows.append({
    88|            "asset_id": asset_id,
    89|            "coin_name": asset["coin_name"],
    90|            "symbol": asset["symbol"],
    91|            "coingecko_id": asset["coingecko_id"] or "",
    92|            "quantity": dec_text(qty),
    93|            "latest_price_chf": dec_text(price_dec, "0.01") if price_dec is not None else "",
    94|            "market_value_chf": dec_text(value, "0.01") if value is not None else "",
    95|            "price_quality": price["quality_status"] if price else "missing",
    96|            "fetched_at": price["fetched_at"] if price else "",
    97|        })
    98|    return rows
    99|
   100|
   101|def get_crypto_by_wallet(conn: Connection, *, price_max_age_seconds: int = 86_400) -> list[dict[str, str]]:
   102|    holdings = calculate_crypto_holdings(conn)
   103|    rows: list[dict[str, str]] = []
   104|    for (wallet_id, asset_id), holding in sorted(holdings.wallet_holdings.items()):
   105|        wallet = conn.execute("SELECT wallet_name, wallet_type, platform_provider FROM crypto_wallets WHERE wallet_id=?", (wallet_id,)).fetchone()
   106|        asset = conn.execute("SELECT coin_name, symbol, coingecko_id FROM crypto_assets WHERE asset_id=?", (asset_id,)).fetchone()
   107|        price = latest_crypto_price(conn, asset_id, "CHF", max_age_seconds=price_max_age_seconds)
   108|        price_dec = d(price["price"]) if price and price["price"] else None
   109|        value = holding.quantity * price_dec if price_dec is not None else None
   110|        rows.append({
   111|            "wallet_id": wallet_id,
   112|            "wallet_name": wallet["wallet_name"] if wallet else wallet_id,
   113|            "wallet_type": wallet["wallet_type"] if wallet else "",
   114|            "provider": wallet["platform_provider"] if wallet else "",
   115|            "coin_name": asset["coin_name"] if asset else asset_id,
   116|            "symbol": asset["symbol"] if asset else "",
   117|            "coingecko_id": asset["coingecko_id"] if asset else "",
   118|            "quantity": dec_text(holding.quantity),
   119|            "market_value_chf": dec_text(value, "0.01") if value is not None else "",
   120|            "wallet_value_chf": dec_text(value, "0.01") if value is not None else "",
   121|            "price_quality": price["quality_status"] if price else "missing",
   122|            "price_fetched_at": price["fetched_at"] if price else "",
   123|            "verification_status": holding.verification_status,
   124|            "last_verified_at": holding.last_verified_at or "",
   125|        })
   126|    return rows
   127|
   128|
   129|def get_wallets(conn: Connection) -> list[dict[str, str]]:
   130|    return rowdicts(conn.execute(
   131|        """
   132|        SELECT wallet_id, wallet_name, wallet_type, platform_provider AS provider,
   133|               network_chain, last_verified_at, is_active, notes
   134|        FROM crypto_wallets ORDER BY wallet_name
   135|        """
   136|    ).fetchall())
   137|
   138|
   139|def get_latest_crypto_transactions(conn: Connection, limit: int = 20) -> list[dict[str, str]]:
   140|    return rowdicts(conn.execute(
   141|        """
   142|        SELECT ct.transaction_datetime, ct.transaction_type, ca.symbol, ct.quantity, ct.fee_quantity,
   143|               fw.wallet_name AS from_wallet, tw.wallet_name AS to_wallet, ct.currency_original,
   144|               ct.amount_chf, ct.confirmation_status, ct.source
   145|        FROM crypto_transactions ct
   146|        LEFT JOIN crypto_assets ca ON ca.asset_id=ct.asset_id
   147|        LEFT JOIN crypto_wallets fw ON fw.wallet_id=ct.from_wallet_id
   148|        LEFT JOIN crypto_wallets tw ON tw.wallet_id=ct.to_wallet_id
   149|        ORDER BY ct.transaction_datetime DESC, ct.created_at DESC LIMIT ?
   150|        """, (limit,)
   151|    ).fetchall())
   152|
   153|
   154|def get_platform_overview(conn: Connection) -> list[dict[str, str]]:
   155|    return rowdicts(conn.execute(
   156|        """
   157|        SELECT p.name AS platform, p.platform_type, a.account_name, a.account_type, a.currency,
   158|               a.performance_included, a.is_active
   159|        FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id
   160|        ORDER BY p.name, a.account_name
   161|        """
   162|    ).fetchall())
   163|
   164|
   165|def get_cash_overview(conn: Connection) -> list[dict[str, str]]:
   166|    result = calculate_cash_balances(conn)
   167|    rows: list[dict[str, str]] = []
   168|    for (account_id, currency), bal in sorted(result.balances.items()):
   169|        row = conn.execute(
   170|            "SELECT a.account_name, p.name AS platform FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id WHERE a.account_id=?",
   171|            (account_id,),
   172|        ).fetchone()
   173|        rows.append({
   174|            "platform": row["platform"] if row else "",
   175|            "account_name": row["account_name"] if row else account_id,
   176|            "currency": currency,
   177|            "amount_original": dec_text(bal.amount_original, "0.01"),
   178|            "amount_chf": dec_text(bal.amount_chf, "0.01") if bal.amount_chf is not None else "",
   179|            "quality_status": bal.quality_status,
   180|        })
   181|    return rows
   182|
   183|
   184|def get_positions(conn: Connection) -> list[dict[str, str]]:
   185|    result = calculate_positions(conn)
   186|    rows: list[dict[str, str]] = []
   187|    for (account_id, instrument_id), pos in sorted(result.positions.items()):
   188|        row = conn.execute(
   189|            """
   190|            SELECT a.account_name, p.name AS platform, i.name, i.ticker, i.isin, i.asset_class, i.currency
   191|            FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id
   192|            JOIN instruments i ON i.instrument_id=? WHERE a.account_id=?
   193|            """,
   194|            (instrument_id, account_id),
   195|        ).fetchone()
   196|        rows.append({
   197|            "platform": row["platform"] if row else "",
   198|            "account_name": row["account_name"] if row else account_id,
   199|            "asset_class": row["asset_class"] if row else "",
   200|            "name": row["name"] if row else instrument_id,
   201|            "ticker": row["ticker"] if row else "",
   202|            "isin": row["isin"] if row else "",
   203|            "quantity": dec_text(pos.quantity),
   204|            "cost_basis_chf": dec_text(pos.cost_basis_chf, "0.01"),
   205|            "market_value_chf": dec_text(pos.market_value_chf, "0.01") if pos.market_value_chf is not None else "",
   206|            "total_return_chf": dec_text(pos.total_return_chf, "0.01") if pos.total_return_chf is not None else "",
   207|            "data_quality_status": pos.data_quality_status,
   208|        })
   209|    return rows
   210|
   211|
   212|def get_ledger_transactions(conn: Connection, limit: int = 200) -> list[dict[str, str]]:
   213|    return rowdicts(conn.execute(
   214|        """
   215|        SELECT t.trade_date, p.name AS platform, a.account_name, t.transaction_type,
   216|               i.name AS instrument, i.ticker, t.quantity, t.gross_amount_original,
   217|               t.net_amount_original, t.currency_original, t.fx_status, t.quality_status,
   218|               t.source_type, t.source_id
   219|        FROM transactions t
   220|        LEFT JOIN accounts a ON a.account_id=t.account_id
   221|        LEFT JOIN platforms p ON p.platform_id=a.platform_id
   222|        LEFT JOIN instruments i ON i.instrument_id=t.instrument_id
   223|        ORDER BY t.trade_date DESC, t.created_at DESC LIMIT ?
   224|        """, (limit,)
   225|    ).fetchall())
   226|
   227|
   228|def get_watchlist(conn: Connection) -> list[dict[str, str]]:
   229|    return rowdicts(conn.execute("SELECT name, asset_class, reason, status, target_entry_price, target_entry_currency, investment_case, bear_case, next_review_date FROM watchlist ORDER BY name").fetchall())
   230|
   231|
   232|def get_alerts(conn: Connection) -> list[dict[str, str]]:
   233|    return rowdicts(conn.execute(
   234|        """
   235|        SELECT priority, status, category, entity_type, entity_id, rule_id, message,
   236|               occurrence_count, last_seen_at, resolved_at, muted_until, fingerprint, dedup_key, created_at
   237|        FROM alerts
   238|        ORDER BY CASE priority WHEN 'kritisch' THEN 0 WHEN 'warnung' THEN 1 ELSE 2 END, status, created_at DESC
   239|        """
   240|    ).fetchall())
   241|
   242|
   243|def get_audit_events(conn: Connection, limit: int = 200) -> list[dict[str, str]]:
   244|    rows = conn.execute(
   245|        """
   246|        SELECT timestamp, source, action, entity_type, entity_id, old_values_json, new_values_json,
   247|               confirmed, created_by, quality_status
   248|        FROM audit_log ORDER BY timestamp DESC LIMIT ?
   249|        """, (limit,)
   250|    ).fetchall()
   251|    out: list[dict[str, str]] = []
   252|    for row in rows:
   253|        item = {k: ("" if row[k] is None else str(row[k])) for k in row.keys()}
   254|        for key in ("old_values_json", "new_values_json"):
   255|            if item[key]:
   256|                try:
   257|                    item[key] = json.dumps(json.loads(item[key]), ensure_ascii=False, indent=2, sort_keys=True)
   258|                except json.JSONDecodeError:
   259|                    pass
   260|        out.append(item)
   261|

Use offset=261 to continue reading (showing 1-260 of 367 lines)


   261|    return out
   262|
   263|
   264|def get_data_quality(conn: Connection) -> list[dict[str, str]]:
   265|    items: list[dict[str, str]] = []
   266|    checks = [
   267|        ("fehlende FX", "SELECT COUNT(*) AS c FROM transactions WHERE fx_status='missing'", "kritisch"),
   268|        ("fehlende CoinGecko-ID", "SELECT COUNT(*) AS c FROM crypto_assets WHERE coingecko_id IS NULL OR coingecko_id='' ", "warnung"),
   269|        ("fehlende Crypto-Preise", "SELECT COUNT(*) AS c FROM crypto_assets ca LEFT JOIN crypto_prices cp ON cp.asset_id=ca.asset_id WHERE cp.crypto_price_id IS NULL", "warnung"),
   270|        ("fehlende ISIN", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE asset_class IN ('equity','etf') AND (isin IS NULL OR isin='') AND mapping_status!='ignored'", "warnung"),
   271|        ("fehlende FX in Import-Reviews", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%missing_fx%' AND mapping_status!='ignored'", "warnung"),
   272|        ("snapshot_only Positionen", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%snapshot_only%' AND mapping_status!='ignored'", "info"),
   273|        ("cost_basis_uncertain", "SELECT COUNT(*) AS c FROM instrument_mappings WHERE quality_flags_json LIKE '%cost_basis_uncertain%' AND mapping_status!='ignored'", "warnung"),
   274|        ("aktive Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active'", "warnung"),
   275|        ("resolved Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='resolved'", "ok"),
   276|        ("alte aktive Alerts", "SELECT COUNT(*) AS c FROM alerts WHERE status='active' AND last_seen_at < datetime('now', '-7 days')", "info"),
   277|    ]
   278|    for label, sql, severity in checks:
   279|        row = conn.execute(sql).fetchone()
   280|        count = int(row["c"] or 0) if row else 0
   281|        sev = severity if count else "ok"
   282|        items.append({"check": label, "count": str(count), "severity": sev})
   283|    for flag_row in get_review_quality_flag_counts(conn):
   284|        count = int(flag_row["open_items"] or 0)
   285|        items.append({"check": f"Review Flag: {flag_row['quality_flag']}", "count": str(count), "severity": "warnung" if count else "ok"})
   286|    for ready in get_review_readiness_counts(conn):
   287|        count = int(ready["count"] or 0)
   288|        sev = "ok" if ready["readiness_status"] in {"ready_for_import", "ignored"} else ("warnung" if count else "ok")
   289|        items.append({"check": f"Review Readiness: {ready['readiness_status']}", "count": str(count), "severity": sev})
   290|    for source in get_ready_for_import_by_source(conn):
   291|        if int(source["total"] or 0) and int(source["ready_for_import"] or 0) == 0:
   292|            items.append({"check": f"Quelle ohne ready_for_import: {source['source_platform']}", "count": source["total"], "severity": "warnung"})
   293|    missing_snapshot = conn.execute("SELECT COUNT(*) AS c FROM broker_import_dry_runs WHERE snapshot_date_status='missing'").fetchone()
   294|    count = int(missing_snapshot["c"] or 0) if missing_snapshot else 0
   295|    items.append({"check": "Dry Runs ohne Snapshot Date", "count": str(count), "severity": "warnung" if count else "ok"})
   296|    return items
   297|
   298|
   299|def get_import_wizard_summary(conn: Connection) -> dict[str, str]:
   300|    from jarvis_finance.imports.broker_mapping import build_import_wizard_summary
   301|
   302|    return build_import_wizard_summary(conn)
   303|
   304|
   305|def get_manual_review_items(conn: Connection) -> list[dict[str, str]]:
   306|    from jarvis_finance.imports.broker_mapping import get_manual_review_queue
   307|
   308|    return get_manual_review_queue(conn)
   309|
   310|
   311|def get_broker_dry_runs(conn: Connection, limit: int = 20) -> list[dict[str, str]]:
   312|    from jarvis_finance.imports.broker_mapping import get_dry_run_sessions
   313|
   314|    return get_dry_run_sessions(conn, limit=limit)
   315|
   316|
   317|def get_safe_mode_status(conn: Connection) -> dict[str, str]:
   318|    backup = conn.execute("SELECT created_at FROM audit_log WHERE action LIKE '%backup%' ORDER BY created_at DESC LIMIT 1").fetchone()
   319|    return {
   320|        "db_mode": "Runtime",
   321|        "write_mode": "Read-only",
   322|        "last_backup_at": backup["created_at"] if backup else "nicht verfügbar",
   323|        "git_safety_status": "zuletzt OK / CLI prüfen",
   324|        "data_location": "Echte Daten liegen außerhalb Git",
   325|    }
   326|
   327|
   328|def get_broker_review_items(conn: Connection, limit: int = 100, **filters) -> list[dict[str, str]]:
   329|    from jarvis_finance.imports.broker_mapping import get_broker_review_items as _items
   330|
   331|    return _items(conn, limit=limit, **filters)
   332|
   333|
   334|def get_review_readiness_counts(conn: Connection) -> list[dict[str, str]]:
   335|    from jarvis_finance.imports.broker_mapping import get_review_readiness_counts as _counts
   336|
   337|    return _counts(conn)
   338|
   339|
   340|def get_ready_for_import_by_source(conn: Connection) -> list[dict[str, str]]:
   341|    from jarvis_finance.imports.broker_mapping import get_ready_for_import_by_source as _counts
   342|
   343|    return _counts(conn)
   344|
   345|
   346|def get_review_quality_flag_counts(conn: Connection) -> list[dict[str, str]]:
   347|    from jarvis_finance.imports.broker_mapping import aggregate_review_quality_flags
   348|
   349|    return [{"quality_flag": k, "open_items": str(v)} for k, v in sorted(aggregate_review_quality_flags(conn).items())]
   350|
   351|
   352|def get_command_center_summary(conn: Connection) -> dict[str, str]:
   353|    cash_rows = get_cash_overview(conn)
   354|    crypto_rows = get_crypto_overview(conn)
   355|    cash_total = sum(d(r["amount_chf"]) for r in cash_rows if r["amount_chf"])
   356|    crypto_total = sum(d(r["market_value_chf"]) for r in crypto_rows if r["market_value_chf"])
   357|    alert_counts = conn.execute("SELECT priority, COUNT(*) AS c FROM alerts WHERE status='active' GROUP BY priority").fetchall()
   358|    quality = get_data_quality(conn)
   359|    return {
   360|        "base_currency": "CHF",
   361|        "cash_total_chf": dec_text(cash_total, "0.01"),
   362|        "crypto_total_chf": dec_text(crypto_total, "0.01"),
   363|        "total_value_chf": dec_text(cash_total + crypto_total, "0.01"),
   364|        "active_alerts": ", ".join(f"{r['priority']}: {r['c']}" for r in alert_counts) or "0",
   365|        "data_quality_status": "kritisch" if any(i["severity"] == "kritisch" and i["count"] != "0" for i in quality) else ("warnung" if any(i["severity"] == "warnung" and i["count"] != "0" for i in quality) else "ok"),
   366|        "crypto_price_data_as_of": max((r["fetched_at"] for r in crypto_rows if r.get("fetched_at")), default=""),
   367|    }
   368|


patch

            "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",
            "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",
            "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),
            "data_quality_status": pos.data_quality_status,

            "market_value_chf": dec_text(pos.market_value_chf, "0.01") if pos.market_value_chf is not None else "",
            "total_return_chf": dec_text(pos.total_return_chf, "0.01") if pos.total_return_chf is not None else "",
            "data_quality_status": pos.data_quality_status,


--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/data.py
@@ -203,7 +203,12 @@
             "quantity": dec_text(pos.quantity),
             "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",
+            "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",
             "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),
             "data_quality_status": pos.data_quality_status,
         })
     return rows

/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.


[Your active task list was preserved across context compression]
- [>] c0. C0 Missing-FX-Alerts der 3 True-Wealth-Initial-Snapshots validieren und ggf. korrigieren (in_progress)
- [ ] c1. C1 FX-Rates Modul/CLI/Data-Quality mit Tests implementieren (pending)
- [ ] c2. C2 Instrument Price Mapping Modell/Audit/Data-Quality mit Tests implementieren (pending)
- [ ] c3. C3 Market Price Provider Skeleton/CLI/local storage/Data-Quality mit Tests implementieren (pending)
- [ ] c4c5. C4/C5 Equity Bewertung und Data Quality Center lokal erweitern (pending)
- [ ] c7. C7 Runtime-Recheck vorsichtig aggregiert ausführen (pending)
- [ ] c8. C8 Compile/pytest/Git-Safety/Git Status, Commit+Push (pending)


Explanation:
**Inspecting repository state**

I need to continue and inspect the current repo. I’m wondering if my skills in finance and TDD are already loaded. Maybe I’ll consider using GitHub pull request workflow for committing and pushing changes later on. It’s crucial to act quickly while avoiding leaking any sensitive values. I should use available tools to understand the current state. I’ll run a git diff and consider continuing with tests via the command line.


terminal

Output:
M src/jarvis_finance/dashboard/data.py
 M src/jarvis_finance/fx/overrides.py
 M src/jarvis_finance/fx/providers.py
 M src/jarvis_finance/fx/rates.py
 M src/jarvis_finance/ledger/positions.py
 M src/jarvis_finance/storage/migrations.py
?? src/jarvis_finance/market_data/mappings.py
?? src/jarvis_finance/market_data/prices.py
?? tests/unit/test_fx_market_data_phase_c.py
 src/jarvis_finance/dashboard/data.py     |   5 ++
 src/jarvis_finance/fx/overrides.py       |  42 +++++++++
 src/jarvis_finance/fx/providers.py       |  18 ++++
 src/jarvis_finance/fx/rates.py           | 145 ++++++++++++++++++++++++++++++-
 src/jarvis_finance/ledger/positions.py   |  22 +++--
 src/jarvis_finance/storage/migrations.py |  41 ++++++++-
 6 files changed, 263 insertions(+), 10 deletions(-)