app/models.py

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)