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График во вкладке «Криптовалюта» теперь по умолчанию показывает всю историю, а не 30 дней — короткое окно у портфеля, растущего годами, часто попадало на локальную просадку и выглядело демотивирующе. Плитки «Лучший рост» и «Худшее падение» раньше всегда считались за 24 часа. Теперь они следуют за диапазоном, выбранным у графика (7д/30д/90д/всё время): для 7д/30д используются закэшированные данные CoinGecko, для «всё время» — метрика за 1 год (дальше бесплатный тариф CoinGecko историю не отдаёт), а для 90д — отдельный запрос по каждой монете, который выполняется только когда пользователь реально выбрал этот период.
138 lines
7.3 KiB
Python
138 lines
7.3 KiB
Python
"""Crypto holdings: a thin layer on top of the existing Asset/AssetValuation
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engine (see models/asset.py) rather than a parallel system. Net worth's
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number for a holding still lives as ordinary AssetValuation rows, kept
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current by services/crypto_service.py — Net Worth requires zero changes to
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treat a crypto holding like any other manually tracked asset.
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Quantity and average buy price are NOT stored — they're computed from the
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CryptoTransaction log (same "you record it, we derive it" shape as
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Goal/GoalContribution), because a sell doesn't just subtract quantity, it
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also has to leave the average cost basis of what's still held unchanged
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(see services/crypto_service.py's _compute_position).
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Every holding also belongs to a CryptoPortfolio (below) — a user-defined
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group like "long-term" or "memes" — so the same coin can be tracked
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separately in more than one portfolio (each as its own CryptoHolding row,
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since coingecko_id is deliberately not unique).
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"""
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from datetime import date as date_
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from datetime import datetime
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from sqlalchemy import Boolean, Date, DateTime, Enum, ForeignKey, Numeric, String, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.db.base import Base
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from app.models.asset import Asset
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from app.models.enums import CryptoTransactionType
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from app.models.mixins import TimestampMixin
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class CryptoPortfolio(Base, TimestampMixin):
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"""A user-defined grouping of crypto holdings (e.g. "long-term",
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"real estate fund", "memes") — same shape as Account (id, name, color,
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is_archived), but scoped to the Crypto tab instead of Transactions.
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Every CryptoHolding belongs to exactly one portfolio (see
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CryptoHolding.portfolio_id below); there's no "ungrouped" state."""
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__tablename__ = "crypto_portfolios"
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id: Mapped[int] = mapped_column(primary_key=True)
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name: Mapped[str] = mapped_column(String(100), nullable=False)
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# Hex color for the portfolio's tab dot — auto-assigned from the app's
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# categorical palette at creation time (see services/crypto_service.py's
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# _next_portfolio_color), not user-editable, same as Account.color.
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color: Mapped[str | None] = mapped_column(String(7), nullable=True)
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is_archived: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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holdings: Mapped[list["CryptoHolding"]] = relationship(back_populates="portfolio")
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class CryptoHolding(Base, TimestampMixin):
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"""1:1 extension of an Asset (asset_class=CRYPTO) — asset_id doubles as
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this table's own primary key rather than a separate id+unique
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constraint, so the relationship can never drift into a 1:many by
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accident. Deleting the Asset (the existing DELETE /assets/{id}) cascades
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here too, and cascades again to every CryptoTransaction — there's no
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separate "delete the whole holding" endpoint."""
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__tablename__ = "crypto_holdings"
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asset_id: Mapped[int] = mapped_column(ForeignKey("assets.id", ondelete="CASCADE"), primary_key=True)
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# Which portfolio this coin is tracked under (see CryptoPortfolio above).
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# RESTRICT, not CASCADE: deleting a non-empty portfolio is blocked at the
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# service layer (services/crypto_service.py's delete_portfolio) rather
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# than silently taking its holdings down with it.
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portfolio_id: Mapped[int] = mapped_column(
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ForeignKey("crypto_portfolios.id", ondelete="RESTRICT"), nullable=False
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)
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# CoinGecko's stable coin id (e.g. "bitcoin") — NOT the ticker symbol,
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# which collides across unrelated coins (CoinGecko lists dozens of
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# differently-named coins that all use e.g. "SOL"-like tickers).
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coingecko_id: Mapped[str] = mapped_column(String(100), nullable=False)
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# Denormalized from CoinGecko at add-time so the holdings list can
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# render a ticker/name/logo without an extra lookup per row.
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symbol: Mapped[str] = mapped_column(String(20), nullable=False)
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name: Mapped[str] = mapped_column(String(150), nullable=False)
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thumb_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
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# Cached from the last successful sync (services/crypto_service.py) —
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# in the app's display currency (see AppSettings.currency). Null until
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# the first sync completes.
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last_price: Mapped[Numeric | None] = mapped_column(Numeric(38, 18), nullable=True)
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price_change_1h: Mapped[Numeric | None] = mapped_column(Numeric(10, 4), nullable=True)
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price_change_24h: Mapped[Numeric | None] = mapped_column(Numeric(10, 4), nullable=True)
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price_change_7d: Mapped[Numeric | None] = mapped_column(Numeric(10, 4), nullable=True)
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# 30d and 1y ride along on the same batched CoinGecko call as the three
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# above — no extra API cost. 1y stands in for "all time" on the Crypto
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# tab's Best/Worst Performer stat (see routes/crypto.py): CoinGecko's
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# free tier caps historical lookback at 365 days regardless, so 1y is
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# already the most "all time" this API key can ever give us.
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price_change_30d: Mapped[Numeric | None] = mapped_column(Numeric(10, 4), nullable=True)
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price_change_1y: Mapped[Numeric | None] = mapped_column(Numeric(10, 4), nullable=True)
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asset: Mapped["Asset"] = relationship()
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portfolio: Mapped["CryptoPortfolio"] = relationship(back_populates="holdings")
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transactions: Mapped[list["CryptoTransaction"]] = relationship(
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back_populates="holding", cascade="all, delete-orphan", order_by="CryptoTransaction.date"
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)
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class CryptoTransaction(Base, TimestampMixin):
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"""One buy or sell against a holding. Quantity held and average buy
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price are both derived by replaying this log in date order — see
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services/crypto_service.py's _compute_position for why a sell can't
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just be "negative quantity" the way it can for a Goal contribution: it
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must leave the remaining coins' average cost basis alone."""
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__tablename__ = "crypto_transactions"
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id: Mapped[int] = mapped_column(primary_key=True)
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asset_id: Mapped[int] = mapped_column(ForeignKey("crypto_holdings.asset_id", ondelete="CASCADE"), nullable=False)
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type: Mapped[CryptoTransactionType] = mapped_column(
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Enum(CryptoTransactionType, name="crypto_transaction_type", native_enum=False, length=10), nullable=False
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)
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quantity: Mapped[Numeric] = mapped_column(Numeric(38, 18), nullable=False)
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# Price paid (buy) or received (sell) per unit, in the app's display
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# currency at the time of the transaction — not re-derived later, since
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# what you actually paid doesn't change with today's market price.
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price_per_unit: Mapped[Numeric] = mapped_column(Numeric(38, 18), nullable=False)
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date: Mapped[date_] = mapped_column(Date, nullable=False)
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note: Mapped[str | None] = mapped_column(Text, nullable=True)
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holding: Mapped["CryptoHolding"] = relationship(back_populates="transactions")
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class CryptoSyncState(Base):
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"""Singleton row (id=1, same get-or-create pattern as AppSettings) — the
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single global timestamp of the last successful CoinGecko price refresh.
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One timestamp for every holding, not one per holding: a refresh always
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re-prices every tracked coin in a single batched request (see
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services/crypto_service.py), so there's only ever one "last synced"
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moment to track."""
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__tablename__ = "crypto_sync_state"
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id: Mapped[int] = mapped_column(primary_key=True)
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last_synced_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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