feat: add a Crypto tab with live CoinGecko prices synced into Net Worth

Track individual coins (identity + quantity) in a dedicated tab, backed by
CoinGecko's Demo API (AURUM_COINGECKO_API_KEY). A holding is just another
Asset under the hood (asset_class=crypto) with its value written as a
regular AssetValuation — the existing Net Worth aggregation needs zero
changes to pick it up.

Prices never refresh in the background (no scheduler in this stack, same
reasoning as recurring transactions): a "Refresh prices" button forces a
sync, and GET /crypto/holdings lazily re-syncs at most once every 24h.
CoinGecko outages leave existing values untouched (error_key: "unreachable")
instead of failing the request. Backup/restore now carries CryptoHolding
rows too, so a restore doesn't silently strip a holding's coin identity.

Backend: 75/75 tests passing (9 new), including a real identity-map
staleness bug the tests caught in the raw-Core-upsert + ORM re-read pattern,
fixed via populate_existing=True.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01855PiW5Wd8n4aRW4n9kByY
This commit is contained in:
ZProger
2026-08-30 03:58:04 +03:00
parent f74305f0be
commit 7e4508d1de
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"""Crypto holdings: a thin layer on top of the existing Asset/AssetValuation
engine (see models/asset.py) rather than a parallel system. A CryptoHolding
only records identity (which coin) and quantity (how much) — the actual
value lives as ordinary AssetValuation rows, kept current by
services/crypto_service.py, so Net Worth requires zero changes to treat a
crypto holding like any other manually tracked asset.
"""
from datetime import datetime
from sqlalchemy import DateTime, ForeignKey, Numeric, String
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.db.base import Base
from app.models.asset import Asset
from app.models.mixins import TimestampMixin
class CryptoHolding(Base, TimestampMixin):
"""1:1 extension of an Asset (asset_class=CRYPTO) — asset_id doubles as
this table's own primary key rather than a separate id+unique
constraint, so the relationship can never drift into a 1:many by
accident. Deleting the Asset (the existing DELETE /assets/{id}) cascades
here too — there's no separate delete endpoint for a holding."""
__tablename__ = "crypto_holdings"
asset_id: Mapped[int] = mapped_column(ForeignKey("assets.id", ondelete="CASCADE"), primary_key=True)
# CoinGecko's stable coin id (e.g. "bitcoin") — NOT the ticker symbol,
# which collides across unrelated coins (CoinGecko lists dozens of
# differently-named coins that all use e.g. "SOL"-like tickers).
coingecko_id: Mapped[str] = mapped_column(String(100), nullable=False)
# Denormalized from CoinGecko at add-time so the holdings list can
# render a ticker/name/logo without an extra lookup per row.
symbol: Mapped[str] = mapped_column(String(20), nullable=False)
name: Mapped[str] = mapped_column(String(150), nullable=False)
thumb_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
# Bitcoin has 8 decimal places; several tokens go to 18 (wei-level
# amounts). Deliberately NOT Numeric(14, 2) like every money field in
# this app — this is a coin count, not a currency amount.
quantity: Mapped[Numeric] = mapped_column(Numeric(38, 18), nullable=False)
asset: Mapped["Asset"] = relationship()
class CryptoSyncState(Base):
"""Singleton row (id=1, same get-or-create pattern as AppSettings) — the
single global timestamp of the last successful CoinGecko price refresh.
One timestamp for every holding, not one per holding: a refresh always
re-prices every tracked coin in a single batched request (see
services/crypto_service.py), so there's only ever one "last synced"
moment to track."""
__tablename__ = "crypto_sync_state"
id: Mapped[int] = mapped_column(primary_key=True)
last_synced_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)