from sqlalchemy import String, Float, Integer, DateTime, Text, Boolean from sqlalchemy.orm import Mapped, mapped_column from datetime import datetime from app.database import Base class SpaceObject(Base): __tablename__ = "space_objects" object_id: Mapped[str] = mapped_column(String(64), primary_key=True) norad_cat_id: Mapped[int | None] = mapped_column(Integer, index=True, nullable=True) object_name: Mapped[str] = mapped_column(String(255), index=True) object_type: Mapped[str | None] = mapped_column(String(64), nullable=True) mean_motion: Mapped[float | None] = mapped_column(Float, nullable=True) inclination: Mapped[float | None] = mapped_column(Float, nullable=True) eccentricity: Mapped[float | None] = mapped_column(Float, nullable=True) raan: Mapped[float | None] = mapped_column(Float, nullable=True) bstar: Mapped[float | None] = mapped_column(Float, nullable=True) launch_year: Mapped[int | None] = mapped_column(Integer, nullable=True) inserted_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow) class PairScore(Base): __tablename__ = "pair_scores" pair_id: Mapped[str] = mapped_column(String(128), primary_key=True) primary_object_id: Mapped[str] = mapped_column(String(64), index=True) secondary_object_id: Mapped[str] = mapped_column(String(64), index=True) latest_run_id: Mapped[str] = mapped_column(String(64), index=True) risk_score: Mapped[float] = mapped_column(Float, index=True) anomaly_score: Mapped[float] = mapped_column(Float, index=True) final_score: Mapped[float] = mapped_column(Float, index=True) risk_label: Mapped[str] = mapped_column(String(32), index=True) recurrence_count: Mapped[int] = mapped_column(Integer, default=1) trend_delta_24h: Mapped[float | None] = mapped_column(Float, nullable=True) top_factors_json: Mapped[str] = mapped_column(Text) feature_payload_json: Mapped[str] = mapped_column(Text) updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow) class PairScoreHistory(Base): __tablename__ = "pair_score_history" history_id: Mapped[str] = mapped_column(String(128), primary_key=True) pair_id: Mapped[str] = mapped_column(String(128), index=True) run_id: Mapped[str] = mapped_column(String(64), index=True) risk_score: Mapped[float] = mapped_column(Float) anomaly_score: Mapped[float] = mapped_column(Float) final_score: Mapped[float] = mapped_column(Float) created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow) class ScoringRun(Base): __tablename__ = "scoring_runs" run_id: Mapped[str] = mapped_column(String(64), primary_key=True) source: Mapped[str] = mapped_column(String(64)) object_count: Mapped[int] = mapped_column(Integer, default=0) candidate_pair_count: Mapped[int] = mapped_column(Integer, default=0) scored_pair_count: Mapped[int] = mapped_column(Integer, default=0) completed: Mapped[bool] = mapped_column(Boolean, default=False) created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)