Output:
Chunk ID: a15182
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1533
Output:
grep: tests/__pycache__/test_postfinance_sprint13.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/__pycache__/test_postfinance_sprint13.cpython-311.pyc: binary file matches
grep: tests/__pycache__/test_postfinance_sprint13.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_sprint11_portfolio_completeness.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_fx_frankfurter_primary_hotfix.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_fx_frankfurter_primary_hotfix.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_sprint11_portfolio_completeness.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_sprint11_portfolio_completeness.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_fx_frankfurter_primary_hotfix.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/dashboard/__pycache__/data.cpython-312.pyc: binary file matches
grep: src/jarvis_finance/dashboard/__pycache__/data.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/api/routers/__pycache__/equity.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/api/routers/__pycache__/postfinance.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/postfinance_service.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/portfolio_advisor.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/portfolio_data.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/cash_service.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/portfolio_aggregation.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/equity_service.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/portfolio_aggregation.cpython-312.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/equity_service.cpython-312.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/postfinance_service.cpython-312.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/cash_service.cpython-312.pyc: binary file matches
tests/unit/test_fx_frankfurter_primary_hotfix.py:8:from jarvis_finance.services.equity_service import _position_status, list_equity_positions
tests/unit/test_fx_frankfurter_primary_hotfix.py:120:    rows = list_equity_positions(conn)
tests/unit/test_fx_frankfurter_primary_hotfix.py:160:    apple = next(row for row in list_equity_positions(conn) if row.name == 'Apple Inc.')
tests/unit/test_sprint11_portfolio_completeness.py:15:from jarvis_finance.services.equity_service import get_equity_summary, list_equity_positions
tests/unit/test_sprint11_portfolio_completeness.py:168:    rows = list_equity_positions(conn)
tests/unit/test_sprint11_portfolio_completeness.py:192:    position = list_equity_positions(conn)[0]
tests/test_postfinance_sprint13.py:24:    latest_official_postfinance_cash,
tests/test_postfinance_sprint13.py:269:    safe_summary = service.get_postfinance_summary(conn)
tests/test_postfinance_sprint13.py:603:    assert service.get_postfinance_summary(conn)["latest_snapshot"]["total_chf"] == "321149.23"
tests/test_postfinance_sprint13.py:628:        (item.amount_chf for item in latest_official_postfinance_cash(conn)), Decimal("0")
tests/test_postfinance_sprint13.py:691:    assert sum((item.amount_chf for item in latest_official_postfinance_cash(conn)), Decimal("0")) == Decimal("999.00")
tests/test_postfinance_sprint13.py:692:    historical_cash = latest_official_postfinance_cash(conn, as_of="2026-07-27")
tests/test_postfinance_sprint13.py:694:    cutoff_cash = latest_official_postfinance_cash(
src/jarvis_finance/dashboard/data.py:542:    from jarvis_finance.services.cash_service import list_cash_positions
src/jarvis_finance/dashboard/data.py:554:        for position in list_cash_positions(conn)
src/jarvis_finance/api/routers/postfinance.py:12:    get_postfinance_summary,
src/jarvis_finance/api/routers/postfinance.py:40:    return _run(get_postfinance_summary, conn)
src/jarvis_finance/api/routers/equity.py:9:from jarvis_finance.services.equity_service import get_equity_position, get_equity_summary, list_equity_positions
src/jarvis_finance/api/routers/equity.py:17:    return list_equity_positions(conn)
src/jarvis_finance/services/portfolio_advisor.py:19:from jarvis_finance.services.equity_service import list_equity_positions
src/jarvis_finance/services/portfolio_advisor.py:188:    for equity in list_equity_positions(conn):
src/jarvis_finance/services/portfolio_aggregation.py:93:def latest_official_postfinance_cash(
src/jarvis_finance/services/equity_service.py:104:def list_equity_positions(conn: Connection) -> list[EquityPosition]:
src/jarvis_finance/services/equity_service.py:203:    positions = list_equity_positions(conn)
src/jarvis_finance/services/equity_service.py:234:    position = next((p for p in list_equity_positions(conn) if p.position_id == position_id), None)
src/jarvis_finance/services/portfolio_data.py:33:    latest_official_postfinance_cash,
src/jarvis_finance/services/portfolio_data.py:1600:    official_pf_cash = latest_official_postfinance_cash(
src/jarvis_finance/services/postfinance_service.py:26:    latest_official_postfinance_cash,
src/jarvis_finance/services/postfinance_service.py:869:def get_postfinance_summary(conn: Connection) -> dict[str, Any]:
src/jarvis_finance/services/postfinance_service.py:922:        for component in latest_official_postfinance_cash(conn)
src/jarvis_finance/services/cash_service.py:24:from jarvis_finance.services.portfolio_aggregation import latest_official_postfinance_cash
src/jarvis_finance/services/cash_service.py:177:def list_cash_positions(conn: Connection) -> list[CashPosition]:
src/jarvis_finance/services/cash_service.py:187:    official_components = latest_official_postfinance_cash(conn)
src/jarvis_finance/services/cash_service.py:253:    positions = list_cash_positions(conn)


pytest -q tests/unit/test_sprint11_portfolio_completeness.py tests/unit/test_fx_frankfurter_primary_hotfix.py


Output:
Chunk ID: a4fb2d
Wall time: 30.0009 seconds
Process running with session ID 2347
Original token count: 2
Output:
.......


Output:
Chunk ID: 4b9ac8
Wall time: 30.0010 seconds
Process running with session ID 2347
Original token count: 0
Output:


Output:
Chunk ID: cf58fb
Wall time: 30.0014 seconds
Process running with session ID 2347
Original token count: 0
Output:


Output:
Chunk ID: 419e12
Wall time: 30.0013 seconds
Process running with session ID 2347
Original token count: 0
Output:


Output: write_stdin failed: stdin is closed for this session; rerun exec_command with tty=true to keep stdin open


sed -n '830,950p' src/jarvis_finance/services/postfinance_service.py


Output:
Chunk ID: 80bddf
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1259
Output:
                _money(snapshot.total_value_chf),
                now,
                snapshot.valuation_at,
                snapshot_id,
            ),
        )
        conn.commit()
    except IntegrityError as exc:
        conn.rollback()
        duplicate = conn.execute(
            "SELECT batch_id,audit_id FROM postfinance_import_batches WHERE bundle_sha256=?",
            (bundle.bundle_hash,),
        ).fetchone()
        if duplicate:
            return {
                "status": "confirmed",
                "batch_id": duplicate["batch_id"],
                "audit_id": duplicate["audit_id"],
                "idempotent": True,
            }
        for ref, created in archive_refs:
            if created:
                _remove_archive(ref)
        raise ValueError("PostFinance import conflicted with immutable data") from exc
    except Exception:
        conn.rollback()
        for ref, created in archive_refs:
            if created:
                _remove_archive(ref)
        raise
    return {
        "status": "confirmed",
        "batch_id": batch_id,
        "snapshot_id": snapshot_id,
        "audit_id": audit_id,
        "idempotent": False,
    }

def get_postfinance_summary(conn: Connection) -> dict[str, Any]:
    latest = conn.execute(
        """SELECT snapshot_id,snapshot_at,total_chf,securities_chf,cash_chf,stocks_chf,etfs_chf,
                  position_count,cash_count,open_orders,difference_chf,reconciliation_status,created_at
           FROM postfinance_snapshots ORDER BY snapshot_at DESC,created_at DESC LIMIT 1"""
    ).fetchone()
    if not latest:
        return {
            "latest_snapshot": None,
            "positions": [],
            "cash": [],
            "event_counts": {},
            "imports": [],
        }
    official_position_values = {
        override.instrument_id: override.market_value_chf
        for override in latest_official_postfinance_positions(conn).values()
    }
    positions = [
        {
            "row_key": _hash("position", row["instrument_name"], row["quantity"])[:16],
            "instrument_name": row["instrument_name"],
            "ticker": row["ticker"],
            "asset_class": row["asset_class"],
            "quantity": row["quantity"],
            "provider_average_cost_original": row["provider_average_cost_original"],
            "provider_cost_total_original": row["provider_cost_total_original"],
            "price_original": row["price_original"],
            "price_currency": row["price_currency"],
            "value_chf": _money(official_position_values.get(row["instrument_id"], Decimal(str(row["value_chf"])))),
            "weight_pct": row["weight_pct"],
            "computed_cost_basis_original": row["computed_cost_basis_original"],
            "computed_cost_basis_status": row["computed_cost_basis_status"],
        }
        for row in conn.execute(
            """SELECT p.instrument_id,p.asset_class,p.quantity,p.provider_average_cost_original,
                      p.provider_cost_total_original,p.price_original,p.price_currency,p.value_chf,
                      p.weight_pct,p.computed_cost_basis_original,p.computed_cost_basis_status,
                      i.name AS instrument_name,i.ticker
               FROM postfinance_snapshot_positions p
               JOIN instruments i ON i.instrument_id=p.instrument_id
               WHERE p.snapshot_id=? ORDER BY CAST(p.value_chf AS REAL) DESC""",
            (latest["snapshot_id"],),
        ).fetchall()
    ]
    cash = [
        {
            "row_key": _hash("cash", component.currency)[:16],
            "currency": component.currency,
            "amount_original": _text(component.amount_original),
            "fx_rate_to_chf": _text(component.source_fx_rate_to_chf),
            "value_chf": _money(component.amount_chf),
        }
        for component in latest_official_postfinance_cash(conn)
    ]
    events = {
        str(row["event_type"]): int(row["c"])
        for row in conn.execute(
            "SELECT event_type,COUNT(*) c FROM postfinance_ledger_events GROUP BY event_type ORDER BY event_type"
        ).fetchall()
    }
    imports = [
        dict(row)
        for row in conn.execute(
            """SELECT b.snapshot_at,b.parser_id,b.parser_version,b.confirmed_at,b.status,
                      s.total_chf,s.securities_chf,s.cash_chf,s.position_count,s.cash_count,
                      s.difference_chf,s.reconciliation_status,
                      (SELECT COUNT(*) FROM postfinance_batch_documents d WHERE d.batch_id=b.batch_id) AS document_count
               FROM postfinance_import_batches b JOIN postfinance_snapshots s ON s.batch_id=b.batch_id
               ORDER BY b.snapshot_at DESC,b.confirmed_at DESC"""
        ).fetchall()
    ]
    safe_latest = {key: latest[key] for key in latest.keys() if key != "snapshot_id"}
    return {
        "latest_snapshot": safe_latest,
        "positions": positions,
        "cash": cash,
        "event_counts": events,
        "imports": imports,
    }


grep -R "class CashPosition\|class EquityPosition" -n src/jarvis_finance/api/schemas && sed -n '1,220p' src/jarvis_finance/api/schemas/positions.py && sed -n '1,120p' src/jarvis_finance/services/api_helpers.py


Output:
Chunk ID: ae80be
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1995
Output:
src/jarvis_finance/api/schemas/positions.py:82:class EquityPosition(BaseModel):
src/jarvis_finance/api/schemas/positions.py:121:class EquityPositionDetail(EquityPosition):
src/jarvis_finance/api/schemas/positions.py:148:class CashPosition(BaseModel):
src/jarvis_finance/api/schemas/positions.py:168:class CashPositionDetail(CashPosition):
from __future__ import annotations

from pydantic import BaseModel

class ActionItem(BaseModel):
    label: str
    enabled: bool
    reason: str | None = None

class PricePoint(BaseModel):
    date: str
    value: str
    currency: str = "CHF"
    provider: str | None = None
    quality_status: str | None = None

class CryptoPosition(BaseModel):
    asset_id: str
    name: str
    symbol: str
    quantity_total: str
    price_chf: str | None = None
    market_value_chf: str | None = None
    portfolio_share_pct: str
    wallet_count: int
    price_status: str
    last_price_update: str | None = None
    coingecko_url: str | None = None

class WalletAllocation(BaseModel):
    wallet_id: str
    wallet: str
    quantity: str
    market_value_chf: str | None = None

class WalletCoin(BaseModel):
    asset_id: str
    name: str
    symbol: str
    quantity: str
    market_value_chf: str | None = None
    status: str

class CoinGeckoInfo(BaseModel):
    market_cap_rank: int | None = None
    market_cap: str | None = None
    volume_24h: str | None = None
    change_24h_pct: str | None = None
    change_7d_pct: str | None = None
    homepage: str | None = None
    image_url: str | None = None

class CryptoPositionDetail(CryptoPosition):
    wallet_allocations: list[WalletAllocation]
    coingecko_info: CoinGeckoInfo | None = None
    available_actions: list[ActionItem] = []
    price_history: list[PricePoint] = []
    read_only_note: str = "Live-Modus später; keine Provider-Abfrage beim Rendern."

class WalletSummary(BaseModel):
    wallet_id: str
    name: str
    wallet_type: str
    provider: str = ""
    coin_count: int
    market_value_chf: str | None = None
    status: str

class WalletDetail(WalletSummary):
    coins: list[WalletCoin]

class EquityPosition(BaseModel):
    position_id: str
    instrument_id: str | None = None
    name: str
    ticker: str = ""
    isin: str = ""
    account: str = ""
    asset_class: str
    quantity: str
    currency: str
    price: str | None = None
    market_value_chf: str | None = None
    portfolio_share_pct: str | None = None
    price_date: str | None = None
    provider: str | None = None
    provider_symbol: str | None = None
    exchange: str | None = None
    price_currency: str | None = None
    data_status: str = "missing"
    status_code: str = "price_missing"
    status_reason: str | None = None
    status: str

class EquityPortfolioSummary(BaseModel):
    total_positions: int
    valued_positions: int
    unvalued_positions: int
    coverage_complete: bool
    equity_value_chf: str | None = None
    valued_partial_chf: str
    value_label: str
    as_of: str | None = None
    last_successful_run: str | None = None
    status: str
    status_label: str
    unvalued_tickers: list[str] = []

class EquityPositionDetail(EquityPosition):
    fx_status: str = "not_needed"
    cost_basis_status: str = "unknown"
    day_change_chf: str | None = None
    last_trade_date: str | None = None
    provider: str | None = None
    source_url: str | None = None
    provider_symbol: str | None = None
    exchange: str | None = None
    price_currency: str | None = None
    fx_rate_to_chf: str | None = None
    data_source: str | None = None
    available_actions: list[ActionItem]
    price_history: list[PricePoint] = []

class CashSnapshot(BaseModel):
    snapshot_id: str
    snapshot_type: str
    balance_date: str
    amount_chf: str
    source: str
    note: str = ""
    difference_to_previous_chf: str | None = None
    audit_hint: str | None = None

class CashPosition(BaseModel):
    id: str
    account_id: str = ""
    platform: str
    account_label: str
    account_type: str = "cash"
    currency: str
    balance_mode: str = "manual"
    amount: str
    amount_chf: str | None = None
    calculated_balance_chf: str = "0.00"
    manual_balance_chf: str | None = None
    csv_anchor_balance_chf: str | None = None
    used_value_chf: str = "0.00"
    difference_chf: str = "0.00"
    last_manual_reconciliation: str | None = None
    last_imported_booking: str | None = None
    status: str

class CashPositionDetail(CashPosition):
    last_change: str | None = None
    history: list[CashSnapshot] = []
    available_actions: list[ActionItem]

class InstrumentSearchCandidate(BaseModel):
    candidate_id: str
    label: str
    asset_class: str
    isin: str = ""
    ticker: str = ""
    exchange: str = ""
    currency: str = ""
    provider: str = ""
    provider_symbol: str = ""
    exchange_name: str = ""
    mic: str = ""
    country: str = ""
    security_type: str = ""
    last_price: str | None = None
    price_currency: str | None = None
    price_date: str | None = None
    confidence_label: str
    review_required: bool

class InstrumentSearchRequest(BaseModel):
    asset_class: str
    query: str
    currency: str | None = None
    exchange: str | None = None
    country: str | None = None
    main_listing_only: bool = True
    hide_cdr_adr_derivatives: bool = True

class ProviderSearchResponse(BaseModel):
    candidates: list[InstrumentSearchCandidate]
    warnings: list[str] = []
    selection_required: bool = True

class CleanupPreviewResponse(BaseModel):
    accounts: int
    instruments: int
    transactions: int
    alerts: int
    manual_positions_preserved: int
    warnings: list[str] = []

class GenericConfirmRequest(BaseModel):
from __future__ import annotations

from decimal import Decimal, InvalidOperation

from jarvis_finance.api.schemas.common import Money, Quantity
from jarvis_finance.dashboard import data as dashboard_data

def decimal_text(value: object | None, places: int | None = None) -> str:
    if value is None or str(value).strip() == "":
        return "0" if places is None else "0." + ("0" * places)
    try:
        d = dashboard_data.d(value)
    except (InvalidOperation, ValueError):
        d = Decimal("0")
    if places is not None:
        quant = Decimal("1").scaleb(-places)
        d = d.quantize(quant)
    return format(d, "f")

def optional_decimal_text(value: object | None, places: int | None = None) -> str | None:
    if value is None or str(value).strip() == "":
        return None
    text = decimal_text(value, places)
    return text

def money_chf(value: object | None, *, display: str | None = None) -> Money | None:
    if value is None or str(value).strip() == "":
        return None
    return Money(amount=decimal_text(value, 2), currency="CHF", display=display or f"CHF {decimal_text(value, 2)}")

def money_chf_required(value: object | None) -> Money:
    return money_chf(value) or Money(amount="0.00", currency="CHF", display="CHF 0.00")

def quantity(value: object | None, unit: str, *, display: str | None = None) -> Quantity:
    amount = decimal_text(value)
    return Quantity(amount=amount, unit=unit, display=display or f"{amount} {unit}".strip())

def user_quality_status(value: object | None) -> str:
    raw = str(value or "").strip().lower()
    if raw in {"ok", "fresh", "aktuell", "resolved", "not_needed"}:
        return "ok"
    if raw in {"critical", "kritisch", "error", "failed", "missing"}:
        return "critical"
    return "warning"

def status_label(value: object | None) -> str:
    raw = str(value or "").strip().lower()
    mapping = {
        "ok": "Aktuell",
        "fresh": "Aktuell",
        "not_needed": "Nicht nötig",
        "missing": "Fehlt",
        "stale": "Veraltet",
        "warning": "Warnung",
        "critical": "Kritisch",
        "incomplete": "Unvollständig",
        "partial": "Teilweise",
    }
    return mapping.get(raw, str(value or "Unbekannt"))


sed -n '170,280p' src/jarvis_finance/services/cash_service.py


Output:
Chunk ID: ef00ff
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1503
Output:

def _last_imported_booking(conn: Connection, account_id: str) -> str | None:
    row = conn.execute("SELECT MAX(trade_date) AS last_date FROM transactions WHERE account_id=? AND source_type LIKE '%csv%'", (account_id,)).fetchone()
    return row["last_date"] if row else None

def list_cash_positions(conn: Connection) -> list[CashPosition]:
    rows = conn.execute(
        """
        SELECT a.account_id, a.account_name, a.account_type, a.currency, COALESCE(a.balance_mode,'manual') AS balance_mode, p.name AS platform
        FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id
        WHERE a.is_active=1 AND a.account_type='cash'
        ORDER BY p.name, a.account_name
        """
    ).fetchall()
    positions: list[CashPosition] = []
    official_components = latest_official_postfinance_cash(conn)
    official_by_account: dict[str, list] = {}
    for component in official_components:
        official_by_account.setdefault(component.account_id, []).append(component)
    for row in rows:
        account_id = row["account_id"]
        if account_id in official_by_account:
            for component in official_by_account[account_id]:
                positions.append(
                    CashPosition(
                        id=f"{account_id}:{component.currency}",
                        account_id=account_id,
                        platform=row["platform"],
                        account_label=row["account_name"],
                        account_type=row["account_type"],
                        currency=component.currency,
                        balance_mode="official_components",
                        amount=decimal_text(component.amount_original, 2),
                        amount_chf=decimal_text(component.amount_chf, 2),
                        calculated_balance_chf=decimal_text(component.amount_chf, 2),
                        manual_balance_chf=None,
                        csv_anchor_balance_chf=None,
                        used_value_chf=decimal_text(component.amount_chf, 2),
                        difference_chf="0.00",
                        last_manual_reconciliation=component.snapshot_date,
                        last_imported_booking=_last_imported_booking(conn, account_id),
                        status="Offiziell abgeglichen",
                    )
                )
            continue
        manual = _latest_snapshot(conn, account_id, "manual_balance")
        anchor = _latest_snapshot(conn, account_id, "csv_anchor_balance")
        calculated = _calculated_balance(conn, account_id)
        manual_amount = Decimal(str(manual["amount_chf"])) if manual else None
        mode = row["balance_mode"] or "manual"
        used = manual_amount if mode == "manual" and manual_amount is not None else calculated
        difference = (manual_amount - calculated) if manual_amount is not None else Decimal("0")
        status = "Aktuell"
        if manual_amount is not None and difference != 0:
            status = "Abgleich offen"
        positions.append(
            CashPosition(
                id=f"{account_id}:{row['currency']}",
                account_id=account_id,
                platform=row["platform"],
                account_label=row["account_name"],
                account_type=row["account_type"],
                currency=row["currency"],
                balance_mode=mode,
                amount=decimal_text(used, 2),
                amount_chf=decimal_text(used, 2),
                calculated_balance_chf=decimal_text(calculated, 2),
                manual_balance_chf=decimal_text(manual_amount, 2) if manual_amount is not None else None,
                csv_anchor_balance_chf=decimal_text(anchor["amount_chf"], 2) if anchor else None,
                used_value_chf=decimal_text(used, 2),
                difference_chf=decimal_text(difference, 2),
                last_manual_reconciliation=manual["balance_date"] if manual else None,
                last_imported_booking=_last_imported_booking(conn, account_id),
                status=status,
            )
        )
    return positions

def get_cash_summary(conn: Connection) -> CashSummary:
    # Read paths must never seed or refresh accounts; setup is an explicit Confirm action.
    positions = list_cash_positions(conn)
    total = sum(Decimal(p.used_value_chf) for p in positions)
    last_dates = [p.last_manual_reconciliation for p in positions if p.last_manual_reconciliation]
    return CashSummary(
        base_currency="CHF",
        cash_chf=decimal_text(total, 2),
        manual_accounts_count=sum(1 for p in positions if p.balance_mode == "manual"),
        csv_calculated_accounts_count=sum(1 for p in positions if p.balance_mode == "csv_calculated"),
        open_reconciliation_count=sum(1 for p in positions if p.status == "Abgleich offen"),
        last_reconciliation_at=max(last_dates) if last_dates else None,
        positions=positions,
    )

def preview_cash_snapshot(conn: Connection, request: CashSnapshotPreviewRequest) -> PreviewResponse:
    row = conn.execute("SELECT account_id, account_type FROM accounts WHERE account_id=?", (request.account_id,)).fetchone()
    if not row or row["account_type"] != "cash":
        raise HTTPException(status_code=404, detail="Cash account not found")
    if request.snapshot_type not in {"manual_balance", "csv_anchor_balance", "calculated_balance", "reconciliation"}:
        raise HTTPException(status_code=422, detail="Invalid snapshot_type")
    amount = _decimal(request.amount_chf, "amount_chf")
    return PreviewResponse(preview_id=_uuid("preview"), asset_class="cash", summary=f"{request.snapshot_type} CHF per {request.balance_date}", amount_chf=decimal_text(amount, 2), fx_status="not_needed", warnings=[])

def confirm_cash_snapshot(conn: Connection, request: CashSnapshotConfirmRequest) -> ConfirmResponse:
    if not request.confirm:
        raise HTTPException(status_code=400, detail="Explicit confirm required")
    preview_cash_snapshot(conn, request)


grep -n "def _resolve_accounts\|accounts\[\"etrading_cash" -n src/jarvis_finance/services/postfinance_service.py | head -40 && sed -n '150,260p' src/jarvis_finance/services/postfinance_service.py


Output:
Chunk ID: 9d1f93
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1216
Output:
69:def _resolve_accounts(conn: Connection, request: dict[str, Any] | None = None) -> dict[str, str]:
333:        (accounts["etrading_cash"], bundle.snapshot.valuation_at[:10]),
812:                    accounts["etrading_cash"],
    conn.execute(
        """INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,
               performance_included,is_active,created_at,portfolio_bucket,notes)
           VALUES(?,?,'PostFinance E-Finance','cash','CHF',1,1,?,'cash',
                  'Created by verified PostFinance source-role separation')""",
        (accounts["efinance"], depot["platform_id"], now),
    )

def _revision(conn: Connection, accounts: dict[str, str]) -> str:
    account_ids = sorted(set(accounts.values()))
    marks = ",".join("?" for _ in account_ids)
    tables = [
        "account_value_snapshots",
        "positions_snapshot",
        "cash_balances",
        "transactions",
        "postfinance_import_batches",
    ]
    state: list[object] = []
    for table in tables:
        if table == "postfinance_import_batches":
            row = conn.execute(
                f"SELECT COUNT(*) c,COALESCE(MAX(confirmed_at),'') m FROM {table}"
            ).fetchone()
        else:
            row = conn.execute(
                f"SELECT COUNT(*) c,COALESCE(MAX(created_at),'') m FROM {table} WHERE account_id IN ({marks})",
                account_ids,
            ).fetchone()
        state.extend((table, row["c"], row["m"]))
    return _hash(state)

def _instrument_rows(conn: Connection, account_id: str) -> list[Any]:
    rows = conn.execute(
        """SELECT DISTINCT i.instrument_id,i.name,i.ticker,i.provider_symbol,i.isin
           FROM positions_snapshot p JOIN instruments i ON i.instrument_id=p.instrument_id
           WHERE p.account_id=? AND i.is_active=1 ORDER BY i.instrument_id""",
        (account_id,),
    ).fetchall()
    if len(rows) != 22:
        raise ValueError("Confirmed PostFinance depot baseline must contain exactly 22 instruments")
    return rows

def _match_instruments(conn: Connection, bundle: PFBundle, depot_id: str) -> dict[str, str]:
    rows = _instrument_rows(conn, depot_id)
    by_isin = {str(row["isin"]).upper(): str(row["instrument_id"]) for row in rows if row["isin"]}
    aliases: dict[str, set[str]] = defaultdict(set)
    for row in rows:
        for key in (row["name"], row["ticker"], row["provider_symbol"]):
            if key:
                aliases[normalize_label(str(key))].add(str(row["instrument_id"]))
    mapping: dict[str, str] = {}
    used: set[str] = set()
    for position in bundle.snapshot.positions:
        exact = aliases.get(position.normalized_label, set())
        candidates = set(exact)
        if not candidates:
            tokens = set(position.normalized_label.split())
            for alias, ids in aliases.items():
                other = set(alias.split())
                if (
                    tokens
                    and other
                    and (
                        tokens <= other
                        or other <= tokens
                        or len(tokens & other) >= min(2, len(tokens), len(other))
                    )
                ):
                    candidates.update(ids)
        candidates -= used
        if len(candidates) != 1:
            raise ValueError(
                "PostFinance snapshot position cannot be mapped unambiguously to the confirmed depot baseline"
            )
        instrument_id = next(iter(candidates))
        mapping[position.row_reference] = instrument_id
        used.add(instrument_id)
    if len(mapping) != 22 or len(used) != 22:
        raise ValueError("PostFinance snapshot-to-depot mapping is incomplete")
    # Trade and income ISINs independently verify that no document points to another instrument.
    for event in bundle.events:
        if event.isin and event.isin.upper() not in by_isin:
            raise ValueError(
                "PostFinance ledger document references an instrument outside the confirmed depot"
            )
    return mapping

def _event_instrument(
    event: PFEvent, bundle: PFBundle, position_map: dict[str, str], conn: Connection
) -> str | None:
    if event.isin:
        row = conn.execute(
            "SELECT instrument_id FROM instruments WHERE upper(isin)=upper(?) AND is_active=1",
            (event.isin,),
        ).fetchall()
        if len(row) != 1:
            raise ValueError("PostFinance ledger ISIN mapping is ambiguous")
        return str(row[0]["instrument_id"])
    if event.instrument_name:
        key = normalize_label(event.instrument_name)
        for position in bundle.snapshot.positions:
            if (
                position.normalized_label == key
                or key in position.normalized_label
                or position.normalized_label in key
            ):


sed -n '40,110p' src/jarvis_finance/services/postfinance_service.py


Output:
Chunk ID: a4844e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 638
Output:

def _hash(*values: object) -> str:
    return sha256(
        json.dumps(values, sort_keys=True, separators=(",", ":"), default=str).encode()
    ).hexdigest()

def _text(value: Decimal | None) -> str | None:
    return format(value, "f") if value is not None else None

def _money(value: Decimal) -> str:
    return format(value.quantize(Decimal("0.01")), "f")

def _decode(value: str, label: str) -> bytes:
    try:
        return base64.b64decode(value, validate=True)
    except (binascii.Error, ValueError) as exc:
        raise ValueError(f"PostFinance {label} is not valid base64") from exc

def _source_bytes(request: dict[str, Any]) -> tuple[bytes, bytes]:
    return (
        _decode(str(request.get("zip_content_base64") or ""), "ZIP"),
        _decode(str(request.get("overview_content_base64") or ""), "overview PDF"),
    )

def _resolve_accounts(conn: Connection, request: dict[str, Any] | None = None) -> dict[str, str]:
    request = request or {}
    explicit = request.get("account_roles") or {}
    prospective_efinance = False
    if explicit:
        if set(explicit) != {"efinance", "etrading_depot", "etrading_cash"}:
            raise ValueError("All three PostFinance account roles are required")
        result = {key: str(value) for key, value in explicit.items()}
    else:
        rows = conn.execute(
            """SELECT a.account_id,a.account_name,a.account_type,a.platform_id
               FROM accounts a JOIN platforms p ON p.platform_id=a.platform_id
               WHERE a.is_active=1 AND replace(replace(lower(p.name),' ',''),'-','') LIKE '%postfinance%'
               ORDER BY a.account_id"""
        ).fetchall()
        depot = [
            row
            for row in rows
            if "trading" in str(row["account_name"]).lower()
            and str(row["account_type"]).lower() in {"brokerage", "depot"}
            or str(row["account_type"]).lower() in {"brokerage", "depot"}
        ]
        cash = [
            row
            for row in rows
            if row not in depot
            and (
                "cash" in str(row["account_name"]).lower()
                or "finance" in str(row["account_name"]).lower()
                or str(row["account_type"]).lower() in {"cash", "bank", "checking"}
            )
        ]
        efinance = [
            row
            for row in cash
            if "efinance"
            in str(row["account_name"])
            .lower()
            .replace("postfinance", "")
            .replace("-", "")
            .replace(" ", "")
        ]


sed -n '110,170p' src/jarvis_finance/services/postfinance_service.py


Output:
Chunk ID: 941d00
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 633
Output:
        ]
        trading_cash = [row for row in cash if row not in efinance]
        if len(depot) != 1 or len(trading_cash) != 1 or len(efinance) > 1:
            raise ValueError(
                "PostFinance E-Finance, E-Trading depot and E-Trading cash cannot be resolved unambiguously"
            )
        if efinance:
            efinance_id = str(efinance[0]["account_id"])
        else:
            efinance_id = f"account_pf_efinance_{_hash(depot[0]['platform_id'])[:16]}"
            prospective_efinance = True
        result = {
            "efinance": efinance_id,
            "etrading_depot": str(depot[0]["account_id"]),
            "etrading_cash": str(trading_cash[0]["account_id"]),
        }
    if len(set(result.values())) != 3:
        raise ValueError("PostFinance account roles must map to three distinct canonical accounts")
    for role, account_id in result.items():
        row = conn.execute(
            "SELECT is_active FROM accounts WHERE account_id=?", (account_id,)
        ).fetchone()
        if not row and role == "efinance" and prospective_efinance:
            continue
        if not row or not row["is_active"]:
            raise ValueError(f"PostFinance account role {role} is unavailable")
    return result

def _ensure_efinance_account(conn: Connection, accounts: dict[str, str], now: str) -> None:
    if conn.execute(
        "SELECT 1 FROM accounts WHERE account_id=?", (accounts["efinance"],)
    ).fetchone():
        return
    depot = conn.execute(
        "SELECT platform_id FROM accounts WHERE account_id=? AND is_active=1",
        (accounts["etrading_depot"],),
    ).fetchone()
    if not depot:
        raise ValueError("PostFinance depot account is unavailable")
    conn.execute(
        """INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,
               performance_included,is_active,created_at,portfolio_bucket,notes)
           VALUES(?,?,'PostFinance E-Finance','cash','CHF',1,1,?,'cash',
                  'Created by verified PostFinance source-role separation')""",
        (accounts["efinance"], depot["platform_id"], now),
    )

def _revision(conn: Connection, accounts: dict[str, str]) -> str:
    account_ids = sorted(set(accounts.values()))
    marks = ",".join("?" for _ in account_ids)
    tables = [
        "account_value_snapshots",
        "positions_snapshot",
        "cash_balances",
        "transactions",
        "postfinance_import_batches",
    ]
    state: list[object] = []
    for table in tables:


grep -n "postfinance_snapshot_cash\|source_value_chf" -n src/jarvis_finance/services/postfinance_service.py src/jarvis_finance/imports/postfinance_documents.py | head -40


Output:
Chunk ID: e98207
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 156
Output:
src/jarvis_finance/services/postfinance_service.py:797:                "INSERT INTO postfinance_snapshot_cash(snapshot_cash_id,snapshot_id,currency,amount_original,fx_rate_to_chf,value_chf,created_at) VALUES(?,?,?,?,?,?,?)",
src/jarvis_finance/services/postfinance_service.py:804:                    _money(cash.source_value_chf),
src/jarvis_finance/services/postfinance_service.py:817:                    _money(cash.source_value_chf),
src/jarvis_finance/imports/postfinance_documents.py:91:    source_value_chf: Decimal
src/jarvis_finance/imports/postfinance_documents.py:143:        replace(item, source_value_chf=value)


sed -n '760,830p' src/jarvis_finance/services/postfinance_service.py


Output:
Chunk ID: 47d310
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 905
Output:
                    status,
                    json.dumps(
                        {
                            "provider": "official_account_overview",
                            "calculated": "documented_trade_fifo",
                            "estimated": False,
                        },
                        sort_keys=True,
                    ),
                    now,
                ),
            )
            conn.execute(
                """INSERT INTO positions_snapshot(position_snapshot_id,snapshot_date,account_id,platform_id,instrument_id,quantity,average_cost_original,cost_basis_original,market_price_original,market_value_original,market_fx_rate_to_chf,market_value_chf,portfolio_weight_pct,category,data_quality_status,source_type,source_reference,created_at) SELECT ?,?,?,a.platform_id,?,?,?,?,?,?,?,?,?,?,?,?,?,? FROM accounts a WHERE a.account_id=?""",
                (
                    _id("position"),
                    snapshot.valuation_at[:10],
                    accounts["etrading_depot"],
                    instrument_id,
                    _text(position.quantity),
                    _text(position.provider_average_cost_original),
                    _text(position.provider_cost_total_original),
                    _text(position.market_price_original),
                    _text(position.quantity * position.market_price_original),
                    None,
                    _money(position.market_value_chf),
                    _text(position.weight_pct),
                    position.asset_class,
                    "verified",
                    "postfinance_official_import",
                    snapshot_id,
                    now,
                    accounts["etrading_depot"],
                ),
            )
        for cash in snapshot.cash:
            conn.execute(
                "INSERT INTO postfinance_snapshot_cash(snapshot_cash_id,snapshot_id,currency,amount_original,fx_rate_to_chf,value_chf,created_at) VALUES(?,?,?,?,?,?,?)",
                (
                    _id("pfcash"),
                    snapshot_id,
                    cash.currency,
                    _text(cash.amount_original),
                    _text(cash.fx_rate_to_chf),
                    _money(cash.source_value_chf),
                    now,
                ),
            )
            conn.execute(
                "INSERT INTO cash_balances(cash_balance_id,account_id,balance_date,currency,amount_original,fx_rate_to_chf,amount_chf,source_type,quality_status,notes,created_at) VALUES(?,?,?,?,?,?,?,?,?,?,?)",
                (
                    _id("cash"),
                    accounts["etrading_cash"],
                    snapshot.valuation_at[:10],
                    cash.currency,
                    _text(cash.amount_original),
                    _text(cash.fx_rate_to_chf),
                    _money(cash.source_value_chf),
                    "postfinance_official_import",
                    "verified",
                    "Official PostFinance account overview",
                    now,
                ),
            )
        conn.execute(
            "INSERT INTO account_value_snapshots(snapshot_id,account_id,valuation_date,total_value_chf,currency,source_type,quality_status,notes,created_at,valuation_at,source_reference,is_active) VALUES(?,?,?,?,'CHF','postfinance_official_import','ok','Official PostFinance account overview',?,?,?,1)",
            (
                _id("acctval"),
                accounts["etrading_depot"],
                snapshot.valuation_at[:10],
                _money(snapshot.total_value_chf),


sed -n '1,180p' src/jarvis_finance/ledger/positions.py


Output:
Chunk ID: 078266
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1666
Output:
from __future__ import annotations

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

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

MONEY = Decimal("0.01")

def _d(value: object, default: str = "0") -> Decimal:
    if value is None or str(value).strip() == "":
        return Decimal(default)
    return Decimal(str(value))

def _money(value: Decimal | None) -> Decimal | None:
    if value is None:
        return None
    return value.quantize(MONEY, rounding=ROUND_HALF_UP)

@dataclass
class Position:
    account_id: str
    instrument_id: str
    quantity: Decimal = Decimal("0")
    cost_basis_original: Decimal = Decimal("0")
    cost_basis_chf: Decimal = Decimal("0")
    average_cost_original: Decimal | None = None
    average_cost_chf: Decimal | None = None
    realized_pnl_chf: Decimal = Decimal("0")
    income_chf: Decimal = Decimal("0")
    fees_chf: Decimal = Decimal("0")
    taxes_chf: Decimal = Decimal("0")
    market_price_original: Decimal | None = None
    market_value_original: Decimal | None = None
    market_value_chf: Decimal | None = None
    unrealized_pnl_chf: Decimal | None = None
    total_return_chf: Decimal | None = None
    data_quality_status: str = "ok"
    valuation_status: str = "not_valuable"
    valuation_timestamp_status: str = "missing_timestamp"
    hedge_status: str = "unknown"
    instrument_status: str = "unknown"
    valuation_policy: str = "live_price"
    corporate_action_status: str = "not_checked"
    quality_warnings: list[str] = field(default_factory=list)

@dataclass
class PositionCalculationResult:
    positions: dict[tuple[str, str], Position] = field(default_factory=dict)
    as_of_date: str | None = None

def _latest_market_price(conn: Connection, instrument_id: str, as_of_date: str | None):
    if as_of_date:
        return conn.execute(
            """
            SELECT close, currency, price_timestamp, price_date, corporate_action_status FROM market_prices
            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),
        ).fetchone()
    return conn.execute(
        """
        SELECT close, currency, price_timestamp, price_date, corporate_action_status FROM market_prices
        WHERE instrument_id=? AND quality_status IN ('fresh','ok')
        ORDER BY price_date DESC, created_at DESC LIMIT 1
        """,
        (instrument_id,),
    ).fetchone()

def _add_warning(
    conn: Connection,
    pos: Position,
    rule_id: str,
    message: str,
    *,
    persist: bool = True,
) -> None:
    if rule_id not in pos.quality_warnings:
        pos.quality_warnings.append(rule_id)
    pos.data_quality_status = "incomplete"
    if persist:
        create_alert(
            conn,
            priority="kritisch" if rule_id == "missing_fx" else "warnung",
            category="ledger",
            entity_type="instrument",
            entity_id=pos.instrument_id,
            rule_id=rule_id,
            message=message,
            evidence={"account_id": pos.account_id, "instrument_id": pos.instrument_id},
        )

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"))
        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
    if delta_hours <= 1:
        return "aligned"
    if delta_hours <= max_delta_hours:
        return "acceptable"
    return "stale_mismatch"

def _instrument_metadata(conn: Connection, instrument_id: str) -> dict[str, object]:
    row = conn.execute("SELECT * FROM instruments WHERE instrument_id=?", (instrument_id,)).fetchone()
    if not row:
        return {"hedge_status": "unknown", "instrument_status": "unknown", "valuation_policy": "live_price", "corporate_action_status": "not_checked"}
    return dict(row)

def calculate_positions(
    conn: Connection,
    *,
    as_of_date: str | None = None,
    max_price_fx_time_delta_hours: int = 24,
    persist_alerts: bool = True,
) -> PositionCalculationResult:
    def add_warning(pos: Position, rule_id: str, message: str) -> None:
        _add_warning(conn, pos, rule_id, message, persist=persist_alerts)

    result = PositionCalculationResult(as_of_date=as_of_date)
    lots: dict[tuple[str, str], WeightedAverageLot] = {}
    params: tuple[object, ...] = ()
    where = "WHERE instrument_id IS NOT NULL AND COALESCE(is_voided, 0) = 0"
    if as_of_date:
        where += " AND trade_date <= ?"
        params = (as_of_date,)
    rows = conn.execute(
        f"""
        SELECT * FROM transactions
        {where}
        ORDER BY account_id, instrument_id, trade_date, created_at, transaction_id
        """,
        params,
    ).fetchall()
    for row in rows:
        key = (row["account_id"], row["instrument_id"])
        pos = result.positions.setdefault(key, Position(row["account_id"], row["instrument_id"]))
        lot = lots.setdefault(key, WeightedAverageLot())
        t = row["transaction_type"]
        qty = _d(row["quantity"])
        gross = _d(row["gross_amount_original"])
        fee = _d(row["fee_original"])
        tax = _d(row["tax_original"])
        fx = _d(row["fx_rate_to_chf"], "1") if row["fx_rate_to_chf"] is not None else None
        if fx is None or row["fx_status"] == "missing":
            add_warning(pos, "missing_fx", "Historic FX is missing; precise CHF total return cannot be calculated.")
        if t in {"initial_position_snapshot", "buy"}:
            if qty > 0:
                cost_original = gross + fee
                cost_chf = (gross + fee) * fx if fx is not None else Decimal("0")
                lot.buy(qty, cost_original, cost_chf)
                pos.fees_chf += fee * fx if fx is not None else Decimal("0")
                pos.taxes_chf += tax * fx if fx is not None else Decimal("0")
        elif t in {"partial_sell", "full_sell"}:
            if qty > 0:


Output:
Chunk ID: ca6b39
Wall time: 5.0008 seconds
Process running with session ID 2347
Original token count: 0
Output:


pytest -q tests/unit/test_sprint11_portfolio_completeness.py::test_equity_summary_uses_cached_market_analysis -vv


Output:
Chunk ID: a75b2f
Wall time: 0.9973 seconds
Process exited with code 4
Original token count: 240
Output:
============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.2, pluggy-1.6.0 -- /home/agent/.hermes/hermes-agent/venv/bin/python3
cachedir: .pytest_cache
rootdir: /home/agent/.hermes/worktrees/FinanceManager-hotfix-sprint13-global-portfolio-aggregation
configfile: pyproject.toml
plugins: Faker-40.15.0, xdist-3.8.0, timeout-2.4.0, split-0.11.0, anyio-4.13.0, asyncio-1.3.0
asyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collecting ... collected 0 items

============================ no tests ran in 0.69s =============================
ERROR: not found: /home/agent/.hermes/worktrees/FinanceManager-hotfix-sprint13-global-portfolio-aggregation/tests/unit/test_sprint11_portfolio_completeness.py::test_equity_summary_uses_cached_market_analysis
(no match in any of [<Module test_sprint11_portfolio_completeness.py>])


grep -n "def test" tests/unit/test_sprint11_portfolio_completeness.py tests/unit/test_fx_frankfurter_primary_hotfix.py


Output:
Chunk ID: 5d4315
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 488
Output:
tests/unit/test_sprint11_portfolio_completeness.py:68:def test_batch_processes_all_22_and_resume_skips_fresh_cache(monkeypatch) -> None:
tests/unit/test_sprint11_portfolio_completeness.py:86:def test_batch_does_not_treat_wrong_currency_cache_as_coverage(monkeypatch) -> None:
tests/unit/test_sprint11_portfolio_completeness.py:108:def test_rate_limit_retries_without_marking_instrument_inactive(monkeypatch) -> None:
tests/unit/test_sprint11_portfolio_completeness.py:124:def test_excluded_instrument_is_not_fetched_or_valued(monkeypatch) -> None:
tests/unit/test_sprint11_portfolio_completeness.py:136:def test_provider_error_classes_future_and_currency_guards(monkeypatch) -> None:
tests/unit/test_sprint11_portfolio_completeness.py:156:def test_unknown_values_remain_null_and_partial_summary_lists_all_missing() -> None:
tests/unit/test_sprint11_portfolio_completeness.py:180:def test_stale_snapshot_values_remain_unknown_and_global_signals_are_suppressed() -> None:
tests/unit/test_sprint11_portfolio_completeness.py:199:def test_equity_get_endpoints_do_not_invoke_provider(monkeypatch) -> None:
tests/unit/test_fx_frankfurter_primary_hotfix.py:41:def test_resolve_fx_uses_frankfurter_before_stale_cache_and_before_twelvedata() -> None:
tests/unit/test_fx_frankfurter_primary_hotfix.py:59:def test_resolve_fx_uses_cache_after_frankfurter_failure_before_twelvedata_noise() -> None:
tests/unit/test_fx_frankfurter_primary_hotfix.py:75:def test_chf_resolution_is_not_needed_with_rate_one() -> None:
tests/unit/test_fx_frankfurter_primary_hotfix.py:83:def test_apple_eur_valuation_fx_recheck_gets_chf_market_value_via_frankfurter(monkeypatch) -> None:
tests/unit/test_fx_frankfurter_primary_hotfix.py:129:def test_apple_usd_valuation_fx_recheck_gets_chf_market_value_via_frankfurter(monkeypatch) -> None:
tests/unit/test_fx_frankfurter_primary_hotfix.py:167:def test_valuation_status_does_not_show_fx_missing_when_market_value_chf_exists() -> None:


Output:
Chunk ID: 129267
Wall time: 1.8911 seconds
Process exited with code 0
Original token count: 25
Output:
..                                                                       [100%]
2 passed in 1.58s


sed -n '280,360p' src/jarvis_finance/services/cash_service.py


Output:
Chunk ID: bb1487
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 718
Output:
    preview_cash_snapshot(conn, request)
    amount = _decimal(request.amount_chf, "amount_chf")
    snapshot_id = _uuid("cashsnap")
    now = _now()
    source = "manual" if request.snapshot_type in {"manual_balance", "reconciliation"} else "csv_import" if request.snapshot_type == "csv_anchor_balance" else "system_calculated"
    audit_id = _audit(conn, action=f"cash_{request.snapshot_type}_confirm", entity_type="cash_account", entity_id=request.account_id, payload=request.model_dump(), note=request.note)
    conn.execute(
        """
        INSERT INTO cash_account_snapshots(snapshot_id, account_id, snapshot_type, balance_date, amount_original, currency, amount_chf, source, note, created_at, created_by, audit_id)
        VALUES (?, ?, ?, ?, ?, 'CHF', ?, ?, ?, ?, 'user', ?)
        """,
        (snapshot_id, request.account_id, request.snapshot_type, request.balance_date, decimal_text(amount, 2), decimal_text(amount, 2), source, request.note, now, audit_id),
    )
    conn.commit()
    return ConfirmResponse(status="confirmed", entity_id=snapshot_id, audit_id=audit_id, message="Kontostand gespeichert · Audit geschrieben")

def get_cash_position_detail(conn: Connection, position_id: str) -> CashPositionDetail:
    position = next((p for p in get_cash_summary(conn).positions if p.id == position_id), None)
    if not position:
        raise HTTPException(status_code=404, detail="Cash position not found")
    account_id = position.account_id
    rows = conn.execute(
        """
        SELECT snapshot_id, snapshot_type, balance_date, amount_chf, source, COALESCE(note,'') AS note, audit_id
        FROM cash_account_snapshots
        WHERE account_id=?
        ORDER BY balance_date DESC, created_at DESC
        LIMIT 30
        """,
        (account_id,),
    ).fetchall()
    history: list[CashSnapshot] = []
    previous: Decimal | None = None
    for row in reversed(rows):
        current = Decimal(str(row["amount_chf"]))
        diff = None if previous is None else decimal_text(current - previous, 2)
        previous = current
        history.append(CashSnapshot(snapshot_id=row["snapshot_id"], snapshot_type=row["snapshot_type"], balance_date=row["balance_date"], amount_chf=decimal_text(current, 2), source=row["source"], note=row["note"], difference_to_previous_chf=diff, audit_hint="Audit vorhanden" if row["audit_id"] else None))
    history = list(reversed(history))
    return CashPositionDetail(**position.model_dump(), last_change=position.last_manual_reconciliation, history=history, available_actions=[ActionItem(label="Einzahlung", enabled=True), ActionItem(label="Auszahlung", enabled=True), ActionItem(label="Kontostand aktualisieren", enabled=True), ActionItem(label="CSV-Anfangsstand setzen", enabled=True), ActionItem(label="Abgleich bestätigen", enabled=True), ActionItem(label="Verlauf anzeigen", enabled=True)])


sed -n '1590,1675p' src/jarvis_finance/services/portfolio_data.py


Output:
Chunk ID: 4b9d5f
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1516
Output:
        differences.append({
            "difference_ref": _safe_ref("difference", f"{account}:{instrument}:{as_of}"),
            "account_ref": _safe_ref("account", account), "account_label": _safe_label(account_map[account]["account_name"]),
            "instrument_ref": _safe_ref("instrument", instrument), "instrument_label": str(instrument_row["name"]) if instrument_row else "Instrument (unbekannt)",
            "quantity": {"ledger": _decimal_text(ledger_qty), "reported": _decimal_text(source_qty), "difference": _decimal_text(quantity_diff), "status": quantity_status},
            "valuation": {"derived": _decimal_text(derived_value), "reported": _decimal_text(reported_value), "difference": _decimal_text(value_diff), "relative_difference": _decimal_text(relative_diff), "status": value_status,
                          "position_as_of": str(source["snapshot_date"]) if source else None, "price_as_of": price_date, "fx_as_of": fx_date, "price_source": price_source, "fx_source": fx_source},
            "reason_codes": sorted(set(reasons)),
        })
    pf_roles = postfinance_account_roles(conn)
    official_pf_cash = latest_official_postfinance_cash(
        conn,
        as_of=as_of,
        data_cutoff=cutoff,
    )
    official_pf_cash_total = sum(
        (component.amount_chf for component in official_pf_cash), Decimal("0")
    )
    official_pf_cash_date = max(
        (component.snapshot_date for component in official_pf_cash), default=None
    )
    account_totals: list[dict[str, Any]] = []
    account_covered = 0
    for account, meta in account_map.items():
        cash = conn.execute(
            """SELECT amount_chf,balance_date,source FROM cash_account_snapshots WHERE account_id=? AND balance_date<=?
               AND datetime(created_at)<=datetime(?)
               ORDER BY balance_date DESC,created_at DESC,snapshot_id DESC LIMIT 1""", (account, as_of, cutoff)
        ).fetchone()
        cash_value = _stored_decimal(cash["amount_chf"], "Cashbestand") if cash else None
        cash_date = str(cash["balance_date"]) if cash else None
        if account == pf_roles.get("etrading_depot") and official_pf_cash:
            # The provider account total spans the distinct depot and trading-cash
            # roles. This is a reconciliation-only join, not an additive holding.
            cash_value = official_pf_cash_total
            cash_date = official_pf_cash_date
        legacy = conn.execute(
            """SELECT total_value_chf,valuation_date,source_type FROM account_value_snapshots
               WHERE account_id=? AND valuation_date<=? AND datetime(created_at)<=datetime(?)
                 AND COALESCE(is_active,1)=1
               ORDER BY valuation_date DESC,
                        CASE source_type WHEN 'truewealth_official_import' THEN 3 WHEN 'truewealth_manual_provisional' THEN 2 ELSE 1 END DESC,
                        COALESCE(valuation_at,created_at) DESC,created_at DESC,snapshot_id DESC LIMIT 1""", (account, as_of, cutoff)
        ).fetchone()
        reported_total = _stored_decimal(legacy["total_value_chf"], "Kontototal") if legacy else None
        total_date = str(legacy["valuation_date"]) if legacy else None
        has_positions = any(key[0] == account for key in reported)
        derived_total = account_position_values[account] + (cash_value or Decimal("0")) if has_positions or cash else None
        reasons: list[str] = []
        total_status = "unavailable"
        diff: Decimal | None = None
        total_value_only = meta["account_type"] in {"robo_advisor", "total_value", "pension", "truewealth"} or (legacy is not None and not any(key[0] == account for key in keys))
        canonical_date: str | None = None
        if total_value_only:
            canonical = conn.execute(
                """SELECT value_original,valuation_at FROM portfolio_valuation_snapshots
                   WHERE scope_kind='account' AND scope_id=? AND substr(valuation_at,1,10)<=?
                     AND datetime(captured_at)<=datetime(?)
                   ORDER BY valuation_at DESC,snapshot_version DESC,captured_at DESC,snapshot_id DESC LIMIT 1""", (account, as_of, cutoff)
            ).fetchone()
            derived_total = _stored_decimal(canonical["value_original"], "Kanonischer Totalwert") if canonical else None
            canonical_date = str(canonical["valuation_at"])[:10] if canonical else None
            if canonical and total_date != canonical_date:
                reasons.append("cutoff_mismatch")
        dates = set(account_position_dates[account]) | ({cash_date} if cash_date else set()) | ({total_date} if total_date else set()) | ({canonical_date} if canonical_date else set())
        if derived_total is None:
            reasons.append("missing_position_snapshot" if not total_value_only else "missing_account_valuation")
        if reported_total is None:
            reasons.append("missing_account_valuation")
        if derived_total is not None and reported_total is not None:
            stale_dates = {item for item in dates if item and item != as_of}
            if len({item for item in dates if item}) > 1 or stale_dates or "cutoff_mismatch" in reasons:
                total_status = "not_comparable"
                if stale_dates:
                    reasons.append("stale_snapshot")
                if "cutoff_mismatch" not in reasons:
                    reasons.append("cutoff_mismatch")
            else:
                diff = derived_total - reported_total
                total_status = _status(diff, reported_total, absolute, relative)
                if total_status == "mismatch":
                    reasons.append("cash_gap" if cash_value is None and not total_value_only else "value_mismatch")
                account_covered += 1
        account_totals.append({
            "account_ref": _safe_ref("account", account), "account_label": _safe_label(meta["account_name"]),
            "total_value_only": total_value_only, "positions_value": None if total_value_only else _decimal_text(account_position_values[account]),


Output:
Chunk ID: 626704
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


sed -n '1,220p' docs/sprint13-global-portfolio-aggregation-hotfix.md


Output:
Chunk ID: 217326
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 911
Output:
# Sprint 13 hotfix: global portfolio aggregation

## Scope

This hotfix changes the shared portfolio read model only. It does not rewrite or delete official source bytes, import batches, ledger events, snapshots, cost-basis lots, canonical projections, or historical manual values.

## Root cause

The PostFinance overview contains currency rows that combine a true currency cash amount and rounded FX rate with a CHF column representing the whole portfolio's currency exposure. Sprint 13 projected that exposure column as cash. The two projected values therefore summed to the official account total instead of the official cash subtotal.

A second inclusion collision existed in equity: instrument-bearing cash-settlement ledger rows could create shadow holdings on the trading-cash role, while the official holdings belong to the separate depot role. An older market-analysis snapshot could also override a newer official holdings snapshot.

## Contract

- Account totals from `postfinance_official_import` are controls, never additive holdings.
- Cash is resolved from the explicit `etrading_cash` role, original currency amounts, rounded source FX, and the signed-off cash subtotal.
- Rounded component CHF values are deterministically reconciled pro rata to the official subtotal; no adjustment asset is created.
- Holdings are resolved from the explicit `etrading_depot` role and official position snapshot.
- Cash-settlement ledger rows remain available for audit and cost basis but do not create holdings on the cash role when the official depot snapshot covers the instrument.
- A released market-analysis value replaces an official source value only when its `as_of` is newer. The effective valuation timestamp remains visible.
- Historical manual placeholders and immutable canonical rows remain present but are superseded by provenance-aware read-model selection.
- TrueWealth and non-PostFinance aggregation rules remain unchanged.

## Shared consumers

The shared cash resolver feeds the cash API and dashboard/Command Center cash overview. The role-aware official position resolver feeds dashboard positions, equity APIs, overview/advisor allocations, and future portfolio-analysis runs. The PostFinance summary uses the same reconciled source components.

## Delayed review findings reverified at the merge base

All three findings were rerun read-only against exact commit `17ad9ad9eba002b74ef18664fa1a008d926bf5fd` before applying the hotfix:

1. Same-day conflicts in `positions_snapshot` and `cash_balances`: **stale/already fixed**. The preview conflict test passed and confirm was not required to discover the conflict.
2. Immutable canonical projections in `transactions`, `positions_snapshot`, and `cash_balances`: **stale/already fixed**. Update and delete trigger assertions passed for all three tables.
3. `/api/postfinance/summary` privacy allowlist: **stale/already fixed**. The summary contract test passed and exposes no account, batch, snapshot, instrument, ISIN, document, customer, or account-number identifiers.

Evidence: the three exact base-commit tests passed (`3 passed`). The findings must be rerun again with the complete suite and final review at the hotfix HEAD.

## Regression coverage

The synthetic production-shape contract includes 22 positions, two currency cash rows, a misleading account-total-sized exposure projection, a historical manual placeholder, a separate E-Finance role, internal transfers, TrueWealth, and both older and newer market-analysis snapshots. It verifies no double counting, read-only GET behavior, historical preservation, privacy, and repeated-import idempotency.


grep -R "calculate_cash_balances" -n src tests | grep -v pyc


Output:
Chunk ID: 330812
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 408
Output:
grep: src/jarvis_finance/ledger/__pycache__/cash.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/services/__pycache__/cash_service.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_dashboard_mvp_regressions.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_dashboard_mvp_regressions.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_dashboard_mvp_regressions.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_ledger_cash_wac_positions.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_ledger_cash_wac_positions.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_ledger_cash_wac_positions.cpython-311-pytest-9.0.2.pyc: binary file matches
src/jarvis_finance/ledger/cash.py:65:def calculate_cash_balances(
src/jarvis_finance/services/cash_service.py:22:from jarvis_finance.ledger.cash import calculate_cash_balances
src/jarvis_finance/services/cash_service.py:161:    ledger = calculate_cash_balances(conn, persist_alerts=False)
tests/unit/test_dashboard_mvp_regressions.py:9:from jarvis_finance.ledger.cash import calculate_cash_balances
tests/unit/test_dashboard_mvp_regressions.py:126:    balances = calculate_cash_balances(conn)
tests/unit/test_ledger_cash_wac_positions.py:5:from jarvis_finance.ledger.cash import apply_manual_cash_correction, calculate_cash_balances
tests/unit/test_ledger_cash_wac_positions.py:52:    result = calculate_cash_balances(conn)
tests/unit/test_ledger_cash_wac_positions.py:65:    result = calculate_cash_balances(conn)


grep -R "account_type.*brokerage\|account_type.*depot" -n tests src | head -80


Output:
Chunk ID: e5f990
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 3709
Output:
grep: tests/__pycache__/test_postfinance_sprint13.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/__pycache__/test_postfinance_sprint13.cpython-311.pyc: binary file matches
grep: tests/__pycache__/test_postfinance_sprint13.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_broker_parser_dry_run_pipeline.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_import_execution_and_corrections.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_instrument_import_candidates.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_fastapi_user_dashboard_skeleton.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_fx_market_data_phase_c.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_instrument_catalog_manual_add.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_true_wealth_mapping_candidates_c3d.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_fastapi_vue_cockpit_v11.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_quality.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_fx_market_data_phase_c.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_quality.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_true_wealth_valuation_pilot.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_audit.cpython-311-pytest-9.1.1.pyc: binary file matches
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grep: tests/unit/__pycache__/test_equity_manage.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_broker_parser_dry_run_pipeline.cpython-311.pyc: binary file matches
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grep: tests/unit/__pycache__/test_provider_integration_v2.cpython-311-pytest-9.1.1.pyc: binary file matches
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grep: tests/unit/__pycache__/test_ledger_cash_wac_positions.cpython-311-pytest-9.1.1.pyc: binary file matches
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grep: tests/unit/__pycache__/test_market_quotes_detail_charts_v1.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_portfolio_performance_foundation.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_instrument_catalog_manual_add.cpython-311-pytest-9.1.1.pyc: binary file matches
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grep: tests/unit/__pycache__/test_portfolio_advisor_phase8.cpython-311-pytest-9.1.1.pyc: binary file matches
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grep: tests/unit/__pycache__/test_instrument_import_candidates.cpython-311-pytest-9.1.1.pyc: binary file matches
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grep: tests/unit/__pycache__/test_true_wealth_mapping_candidates_c3.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_fx_frankfurter_primary_hotfix.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_fx_market_data_phase_c.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_portfolio_performance_foundation.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_portfolio_performance_foundation.cpython-311.pyc: binary file matches
grep: tests/unit/__pycache__/test_true_wealth_mapping_candidates_c3.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_true_wealth_mapping_candidates_c3d.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_broker_parser_dry_run_pipeline.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_import_execution_and_corrections.cpython-311-pytest-9.1.1.pyc: binary file matches
grep: tests/unit/__pycache__/test_ledger_cash_wac_positions.cpython-311-pytest-9.0.2.pyc: binary file matches
grep: tests/unit/__pycache__/test_equity_manage.cpython-311-pytest-9.0.2.pyc: binary file matches
tests/unit/test_market_quotes_detail_charts_v1.py:37:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('a1', 'p1', 'Depot', 'brokerage', 'CHF', ?)", (now,))
tests/unit/test_fx_market_data_phase_c.py:21:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Account','brokerage','CHF','now')")
tests/unit/test_provider_integration_v2.py:54:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Account','brokerage','CHF','now')")
tests/unit/test_fx_frankfurter_primary_hotfix.py:36:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('a1', 'p1', 'Depot', 'brokerage', 'CHF', '2026-01-01')")
tests/unit/test_sprint11_portfolio_completeness.py:35:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('etrading','postfinance','Manual Portfolio','brokerage','CHF',?)", (NOW,))
tests/unit/test_portfolio_advisor_phase8.py:28:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('acct_pf', 'plat_pf', 'Depot', 'brokerage', 'CHF', ?)", (now,))
tests/unit/test_broker_parser_dry_run_pipeline.py:73:    c.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('acct-broker','pf','Brokerage','brokerage','CHF',?)", (utc_now(),))
tests/unit/test_imports.py:15:    path.write_text("platform_name,platform_type,account_name,account_type,currency\nDemo,broker,Demo Depot,brokerage,CHF\n")
tests/unit/test_imports.py:24:    path.write_text("platform_name,platform_type,account_name,account_type,currency\nDemo,broker,Demo Depot,brokerage,CHF\nDemo,broker,Demo Depot,brokerage,CHF\n")
tests/unit/test_fastapi_user_dashboard_skeleton.py:35:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('a1', 'p1', 'Trading', 'brokerage', 'CHF', ?)", (now,))
tests/unit/test_portfolio_performance_foundation.py:28:        "INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES ('a','p','Control','brokerage','CHF',?)",
tests/unit/test_instrument_import_candidates.py:28:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Depot','brokerage','CHF','now')")
tests/unit/test_instrument_catalog_manual_add.py:49:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Depot','brokerage','CHF','now')")
tests/unit/test_equity_manage.py:36:        "INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES (?, ?, 'Synthetic Depot', 'brokerage', 'CHF', '2026-01-01')",
tests/unit/test_quality.py:21:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,created_at) VALUES('a1','p1','Demo','brokerage','now')")
tests/unit/test_vue_dashboard_v12_acceptance.py:38:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('broker1', 'p2', 'Depot', 'brokerage', 'CHF', ?)", (now,))
tests/unit/test_vue_dashboard_v12_acceptance.py:134:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('review_acc', 'p2', 'True Wealth Review Brokerage', 'brokerage', 'CHF', ?)", (now,))
tests/unit/test_vue_dashboard_v12_acceptance.py:205:    account_preview = client.post("/api/accounts/preview", json={"platform_name": "Anderes Konto", "account_name": "Manual Broker", "account_type": "brokerage", "currency": "CHF", "note": "new"}).json()
tests/unit/test_vue_dashboard_v12_acceptance.py:206:    account = client.post("/api/accounts/confirm", json={"platform_name": "Anderes Konto", "account_name": "Manual Broker", "account_type": "brokerage", "currency": "CHF", "note": "new", "preview_id": account_preview["preview_id"], "confirm": True}).json()
tests/unit/test_fastapi_vue_cockpit_v11.py:36:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('broker1', 'p2', 'Depot', 'brokerage', 'CHF', ?)", (now,))
tests/unit/test_broker_mapping_import_wizard.py:99:    pf = create_platform_account_mapping(c, source_platform="PostFinance", source_account_label="Depot", account_type="brokerage", currency="CHF", internal_platform_id=pf_platform, internal_account_id=pf_account)
tests/unit/test_broker_mapping_import_wizard.py:101:    rf = create_platform_account_mapping(c, source_platform="Raiffeisen", source_account_label="Privatkonto", account_type="brokerage", currency="CHF")
tests/unit/test_true_wealth_mapping_candidates_c3.py:82:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','TW','brokerage','CHF','now')")
tests/unit/test_import_execution_and_corrections.py:19:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Synthetic TW','brokerage','CHF','now')")
tests/unit/test_audit.py:15:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,created_at) VALUES('a1','p1','Demo','brokerage','now')")
tests/unit/test_true_wealth_valuation_pilot.py:22:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Account','brokerage','CHF','now')")
tests/unit/test_ledger_cash_wac_positions.py:15:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Main','brokerage','CHF','now')")
tests/unit/test_dashboard_functional_actions_v2.py:36:    conn.execute("INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES ('broker1', 'p2', 'Depot', 'brokerage', 'CHF', ?)", (now,))
tests/unit/test_true_wealth_mapping_candidates_c3d.py:64:    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','TW','brokerage','CHF','now')")
tests/test_postfinance_sprint13.py:43:        "INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,performance_included,is_active,created_at,portfolio_bucket) VALUES(?,'pf','PostFinance E-Trading','brokerage','CHF',1,1,'2026-01-01','postfinance')",
src/jarvis_finance/services/manual_entry_service.py:131:    if account_type == "brokerage":
src/jarvis_finance/services/manual_entry_service.py:1061:    conn.execute("INSERT INTO platforms(platform_id, name, platform_type, country, default_currency, is_active, notes, created_at) VALUES (?, ?, ?, 'CH', ?, 1, 'Vue manual account container', ?)", (platform_id, name, "broker" if account_type == "brokerage" else "bank", currency.upper(), _now()))
src/jarvis_finance/services/manual_entry_service.py:1071:    account_type = (request.account_type or "brokerage").lower()
src/jarvis_finance/services/postfinance_service.py:88:            and str(row["account_type"]).lower() in {"brokerage", "depot"}
src/jarvis_finance/services/postfinance_service.py:89:            or str(row["account_type"]).lower() in {"brokerage", "depot"}


sed -n '1,100p' tests/unit/test_ledger_cash_wac_positions.py && sed -n '100,155p' tests/unit/test_dashboard_mvp_regressions.py


Output:
Chunk ID: 471e3e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1893
Output:
from __future__ import annotations

from decimal import Decimal

from jarvis_finance.ledger.cash import apply_manual_cash_correction, calculate_cash_balances
from jarvis_finance.ledger.positions import calculate_positions, save_position_snapshots
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','Demo Broker','broker','CHF','now')")
    conn.execute("INSERT INTO accounts(account_id,platform_id,account_name,account_type,currency,created_at) VALUES('a1','p1','Main','brokerage','CHF','now')")
    conn.execute("INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('i1','equity','Demo AG','DAG','CH0001','CHF','now')")
    conn.execute("INSERT INTO instruments(instrument_id,asset_class,name,ticker,isin,currency,created_at) VALUES('u1','equity','USD Demo Inc','UDI','US0001','USD','now')")
    return conn

def tx(conn, tid, ttype, *, instrument='i1', date='2026-01-01', qty=None, gross=None, fee=0, tax=0, net=None, currency='CHF', fx=1, note='synthetic'):
    conn.execute(
        """INSERT INTO transactions(
            transaction_id, transaction_type, account_id, instrument_id, trade_date,
            quantity, price_original, gross_amount_original, fee_original, tax_original,
            net_amount_original, currency_original, fx_rate_to_chf, fx_status,
            gross_amount_chf, fee_chf, tax_chf, net_amount_chf,
            source_type, is_confirmed, quality_status, notes, created_at
        ) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)""",
        (
            tid, ttype, 'a1', instrument, date, str(qty) if qty is not None else None, None,
            str(gross) if gross is not None else None, str(fee), str(tax), str(net) if net is not None else None,
            currency, str(fx) if fx is not None else None, 'ok' if fx is not None else 'missing',
            str(Decimal(str(gross))*Decimal(str(fx))) if gross is not None and fx is not None else None,
            str(Decimal(str(fee))*Decimal(str(fx))) if fx is not None else None,
            str(Decimal(str(tax))*Decimal(str(fx))) if fx is not None else None,
            str(Decimal(str(net))*Decimal(str(fx))) if net is not None and fx is not None else None,
            'synthetic', 1, 'ok' if fx is not None else 'incomplete', note, 'now'
        ),
    )

def test_initial_cash_snapshot_is_start_truth_and_buy_sell_dividend_fee_tax_move_cash() -> None:
    conn = setup_conn()
    tx(conn, 'c0', 'initial_cash_snapshot', instrument=None, gross=1000, net=1000)
    tx(conn, 'b1', 'buy', qty=5, gross=500, fee=5, net=505)
    tx(conn, 's1', 'partial_sell', qty=2, gross=260, fee=2, tax=1, net=257)
    tx(conn, 'd1', 'dividend', qty=None, gross=20, tax=7, net=13)
    tx(conn, 'f1', 'fee', instrument=None, gross=3, net=3)
    tx(conn, 't1', 'tax', instrument=None, gross=4, net=4)

    result = calculate_cash_balances(conn)

    key = ('a1', 'CHF')
    assert result.balances[key].amount_original == Decimal('758')
    assert result.balances[key].amount_chf == Decimal('758')
    assert result.negative_cash_warnings == []

def test_cash_negative_creates_warning_not_correction() -> None:
    conn = setup_conn()
    tx(conn, 'c0', 'initial_cash_snapshot', instrument=None, gross=100, net=100)
    tx(conn, 'b1', 'buy', qty=2, gross=200, fee=0, net=200)

    result = calculate_cash_balances(conn)

    assert result.balances[('a1', 'CHF')].amount_original == Decimal('-100')
    assert result.negative_cash_warnings
    alert = conn.execute("SELECT priority, rule_id FROM alerts WHERE rule_id='negative_cash'").fetchone()
    assert alert['priority'] == 'warnung'

def test_manual_cash_correction_requires_note_and_audit() -> None:
    conn = setup_conn()
    try:
        apply_manual_cash_correction(conn, account_id='a1', currency='CHF', amount=Decimal('10'), note='')
    except ValueError as exc:
        assert 'note' in str(exc)
    else:
        raise AssertionError('expected note validation')

    audit_id = apply_manual_cash_correction(conn, account_id='a1', currency='CHF', amount=Decimal('10'), note='Synthetic reconciliation')
    assert audit_id
    assert conn.execute("SELECT COUNT(*) AS n FROM audit_log WHERE action='manual_cash_correction'").fetchone()['n'] == 1

def test_weighted_average_cost_buy_fee_usd_fx_and_partial_sell_realized_pnl() -> None:
    conn = setup_conn()
    tx(conn, 'b1', 'buy', instrument='u1', date='2026-01-01', qty=10, gross=1000, fee=10, net=1010, currency='USD', fx='0.90')
    tx(conn, 'b2', 'buy', instrument='u1', date='2026-01-02', qty=10, gross=1200, fee=12, net=1212, currency='USD', fx='0.80')
    tx(conn, 's1', 'partial_sell', instrument='u1', date='2026-01-03', qty=5, gross=700, fee=7, net=693, currency='USD', fx='0.85')

    positions = calculate_positions(conn)
    pos = positions.positions[('a1', 'u1')]

    assert pos.quantity == Decimal('15')
    assert pos.cost_basis_original == Decimal('1666.5')
    assert pos.cost_basis_chf == Decimal('1408.95')
    assert pos.average_cost_original == Decimal('111.1')
    assert pos.realized_pnl_chf == Decimal('119.40')
        assert internal not in text
    assert "Automatisch aus Cache/Provider holen" in text

def test_cash_asset_choice_renders_cash_entry_and_writes_audited_snapshot() -> None:
    conn = connect_memory()
    apply_migrations(conn)
    ensure_standard_broker_accounts(conn)
    st = FakeStreamlit(
        button_presses={"Cash speichern"},
        inputs={
            "position_add_asset_choice": "Cash",
            "position_add_cash_account": "Anderes Konto · Manual Portfolio · CHF",
            "position_add_cash_currency": "CHF",
            "position_add_cash_amount": "123.45",
            "position_add_cash_date": "2026-01-31",
            "position_add_cash_note": "synthetic cash balance",
            "position_add_cash_confirm": True,
        },
    )

    page_17_position_add.render(st, conn)

    text = _visible_text(st)
    assert "Cash erfassen" in text
    assert "Cash gespeichert" in text
    balances = calculate_cash_balances(conn)
    assert any(balance.amount_original == Decimal("123.45") and balance.currency == "CHF" for balance in balances.balances.values())

def test_equity_page_refreshes_valuation_from_mapped_provider(monkeypatch) -> None:
    conn, account_id, catalog_id = setup_equity_conn()
    upsert_fx_rate(conn, base_currency="USD", quote_currency="CHF", rate_date="2026-01-15", rate=Decimal("0.90"), provider="mock", rate_type="close")
    add_manual_position_from_catalog(
        conn,
        catalog_entry_id=catalog_id,
        account_id=account_id,
        position_type="initial_snapshot",
        quantity_text="2",
        trade_date="2026-01-15",
        currency="USD",
        cost_basis_original_text="100",
        note="synthetic unvalued position",
        confirm=True,
    )
    monkeypatch.setattr(page_03_equities_etfs, "equity_price_provider_by_name", lambda _name: MockEquityPriceProvider({"SYNV": "50"}, currency="USD"))

    st = FakeStreamlit(button_presses={"Bewertung aktualisieren"})
    page_03_equities_etfs.render(st, conn)

    text = _visible_text(st)
    assert "Bewertung aktualisieren" in text
    assert "Bewertung aktualisiert" in text
    assert conn.execute("SELECT COUNT(*) AS c FROM market_prices WHERE close='50'").fetchone()["c"] == 1


grep -R "get_cash_overview" -n tests src | grep -v pyc


Output:
Chunk ID: 18963e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 167
Output:
grep: src/jarvis_finance/dashboard/__pycache__/data.cpython-312.pyc: binary file matches
grep: src/jarvis_finance/dashboard/__pycache__/data.cpython-311.pyc: binary file matches
grep: src/jarvis_finance/dashboard/views/__pycache__/page_03_equities_etfs.cpython-311.pyc: binary file matches
src/jarvis_finance/dashboard/views/page_03_equities_etfs.py:32:    for row in data.get_cash_overview(conn):
src/jarvis_finance/dashboard/data.py:539:def get_cash_overview(conn: Connection) -> list[dict[str, str]]:
src/jarvis_finance/dashboard/data.py:692:    for row in get_cash_overview(conn):
src/jarvis_finance/dashboard/data.py:1154:    cash_rows = get_cash_overview(conn)


sed -n '260,340p' src/jarvis_finance/services/portfolio_analytics.py


Output:
Chunk ID: b53aa2
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 880
Output:
    return [
        ConfirmedPosition(
            account_id=item["account_id"],
            instrument_id=item["instrument_id"],
            isin=item["isin"],
            name=item["name"],
            asset_class=item["asset_class"],
            instrument_currency=item["instrument_currency"],
            quantity=item["quantity_total"],
        )
        for item in grouped.values()
        if item["quantity_total"] > ZERO
    ]

def _mapping(conn: Connection, position: ConfirmedPosition) -> tuple[dict[str, str] | None, str | None]:
    if not position.isin:
        return None, "mapping_required"
    rows = conn.execute(
        """
        SELECT provider, provider_symbol, provider_market,
               upper(COALESCE(trading_currency, currency, '')) AS mapping_currency
        FROM instrument_price_mappings
        WHERE instrument_id=? AND mapping_status='mapped'
          AND provider_symbol IS NOT NULL AND trim(provider_symbol)!=''
        ORDER BY updated_at DESC, mapping_id
        """,
        (position.instrument_id,),
    ).fetchall()
    if len(rows) != 1:
        return None, "mapping_required"
    row = dict(rows[0])
    if row["mapping_currency"] and position.instrument_currency and row["mapping_currency"] != position.instrument_currency:
        return None, "currency_mismatch"
    return {key: str(value or "") for key, value in row.items()}, None

def _active_policy(conn: Connection) -> dict[str, Any] | None:
    row = conn.execute("SELECT * FROM portfolio_policies WHERE is_active=1 ORDER BY version DESC LIMIT 1").fetchone()
    if not row:
        return None
    result = dict(row)
    try:
        result["benchmarks"] = json.loads(result.get("benchmarks_json") or "[]")
    except json.JSONDecodeError:
        result["benchmarks"] = []
    try:
        result["restrictions"] = json.loads(result.get("restrictions_json") or "[]")
    except json.JSONDecodeError:
        result["restrictions"] = []
    return result

def _benchmark_mapping(conn: Connection, policy: dict[str, Any] | None) -> tuple[dict[str, Any] | None, str | None]:
    if not policy or not policy.get("benchmarks"):
        return None, "benchmark_not_configured"
    benchmarks = policy["benchmarks"]
    if len(benchmarks) != 1 or not isinstance(benchmarks[0], dict):
        return None, "benchmark_mapping_required"
    reference = str(benchmarks[0].get("reference") or "").strip()
    if not reference:
        return None, "benchmark_mapping_required"
    rows = conn.execute(
        """
        SELECT i.instrument_id, i.isin, lower(i.asset_class) AS asset_class,
               m.provider, m.provider_symbol, m.provider_market,
               upper(COALESCE(m.trading_currency, m.currency, i.trading_currency, i.currency, '')) AS currency
        FROM instruments i JOIN instrument_price_mappings m ON m.instrument_id=i.instrument_id
        WHERE i.is_active=1 AND m.mapping_status='mapped'
          AND COALESCE(i.instrument_status,'active') NOT IN ('inactive','delisted','suspended','merged')
          AND COALESCE(i.valuation_policy,'')!='exclude_from_auto_price_update'
          AND (i.isin=? OR i.instrument_id=? OR lower(i.name)=lower(?))
          AND m.provider_symbol IS NOT NULL AND trim(m.provider_symbol)!=''
        ORDER BY m.updated_at DESC, m.mapping_id
        """,
        (reference, reference, reference),
    ).fetchall()
    if len(rows) != 1:
        return None, "benchmark_mapping_required"
    result = dict(rows[0])
    result["reference"] = reference


grep -n "cash_total" -n src/jarvis_finance/imports/postfinance_documents.py | head -30 && sed -n '560,680p' src/jarvis_finance/imports/postfinance_documents.py