dennisthiessenandClaude Opus 4.8
949cbbe7c0
First reviewable slice of workstream A: schema only, no importers, no data. - data_import_runs: lean batch-import audit (source/revision/status, row_counts_json + validation_json as Text-holding-JSON per repo convention). - fundamental_snapshots: CIK-keyed, one immutable row per accession; stores per-period raw facts (duration = cumulative YTD/FY, balance-sheet = period-end) plus period_start/period_end/fiscal_year/fiscal_period so discrete quarters, Q4, TTM and YoY are derived at read time. - earnings_events: Dolt-sourced calendar + surprise history, unique (ticker_id, announce_date). - tickers: nullable cik/sic/sic_description — the ticker<->issuer join point. fundamental_data is left untouched (cutover gated separately at A5). Models registered in app/models/__init__.py; Ticker gains an earnings_events relationship. Verified: create_all builds the tables, mappers configure, and migration 026 renders valid Postgres DDL up and down. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
39 lines
2.3 KiB
Python
39 lines
2.3 KiB
Python
from datetime import datetime
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from sqlalchemy import String, DateTime
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.database import Base
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class Ticker(Base):
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__tablename__ = "tickers"
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id: Mapped[int] = mapped_column(primary_key=True)
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symbol: Mapped[str] = mapped_column(String(10), unique=True, nullable=False)
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# Company name (e.g. "Biogen Inc."); backfilled from Alpaca, nullable for
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# symbols Alpaca doesn't know.
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name: Mapped[str | None] = mapped_column(String(120), nullable=True)
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# SEC issuer identity, refreshed by the SEC fundamentals import from
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# company_tickers.json / submissions. The only ticker<->issuer join point;
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# multi-class tickers (GOOG/GOOGL) share these values. Nullable: not every
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# symbol resolves to a CIK (e.g. ADRs, foreign issuers not in SEC data).
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cik: Mapped[str | None] = mapped_column(String(10), nullable=True)
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sic: Mapped[str | None] = mapped_column(String(4), nullable=True)
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sic_description: Mapped[str | None] = mapped_column(String(160), nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=datetime.utcnow, nullable=False
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)
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# Relationships (cascade deletes)
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ohlcv_records = relationship("OHLCVRecord", back_populates="ticker", cascade="all, delete-orphan")
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sentiment_scores = relationship("SentimentScore", back_populates="ticker", cascade="all, delete-orphan")
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fundamental_data = relationship("FundamentalData", back_populates="ticker", cascade="all, delete-orphan")
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sr_levels = relationship("SRLevel", back_populates="ticker", cascade="all, delete-orphan")
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dimension_scores = relationship("DimensionScore", back_populates="ticker", cascade="all, delete-orphan")
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composite_scores = relationship("CompositeScore", back_populates="ticker", cascade="all, delete-orphan")
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trade_setups = relationship("TradeSetup", back_populates="ticker", cascade="all, delete-orphan")
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watchlist_entries = relationship("WatchlistEntry", back_populates="ticker", cascade="all, delete-orphan")
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ingestion_progress = relationship("IngestionProgress", back_populates="ticker", cascade="all, delete-orphan", uselist=False)
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earnings_events = relationship("EarningsEvent", back_populates="ticker", cascade="all, delete-orphan")
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