from __future__ import annotations from datetime import datetime from typing import Any from sqlalchemy import DateTime, Float, ForeignKey, Index, Integer, JSON, String, Text, text from sqlalchemy.dialects.postgresql import JSONB from sqlalchemy.orm import Mapped, mapped_column from app.models.base import Base, SoftDeleteMixin, TimestampMixin _JSON_TYPE = JSON().with_variant(JSONB, "postgresql") class ShotReplicateSegment(Base, TimestampMixin, SoftDeleteMixin): """拆镜复刻片段表。""" __tablename__ = "shot_replicate_segments" __table_args__ = ( Index("idx_shot_replicate_segments_task_set", "task_set_id", "segment_index"), Index("idx_shot_replicate_segments_user_created", "user_id", "created_at"), Index("idx_shot_replicate_segments_source_mode", "source_mode"), Index("idx_shot_replicate_segments_split_status", "split_status"), Index("idx_shot_replicate_segments_analysis_status", "analysis_status"), Index("idx_shot_replicate_segments_replicate_status", "replicate_status"), Index("idx_shot_replicate_segments_project", "module_project_id"), Index( "uq_shot_replicate_segments_task_set_index_active", "task_set_id", "segment_index", unique=True, postgresql_where=text("deleted_at IS NULL"), ), ) id: Mapped[str] = mapped_column(String(32), primary_key=True) task_set_id: Mapped[str] = mapped_column( String(32), ForeignKey("shot_replicate_task_sets.id", ondelete="CASCADE"), index=True, nullable=False ) user_id: Mapped[str] = mapped_column( String(32), ForeignKey("users.id", ondelete="CASCADE"), index=True, nullable=False ) segment_index: Mapped[int] = mapped_column(Integer, nullable=False, index=True) source_mode: Mapped[str] = mapped_column(String(32), nullable=False, index=True) start_second: Mapped[float] = mapped_column(Float, nullable=False) end_second: Mapped[float] = mapped_column(Float, nullable=False) duration_seconds: Mapped[float] = mapped_column(Float, nullable=False) time_node: Mapped[str] = mapped_column(String(64), nullable=False) split_status: Mapped[str] = mapped_column(String(32), default="pending", index=True, nullable=False) analysis_status: Mapped[str] = mapped_column(String(32), default="pending", index=True, nullable=False) replicate_status: Mapped[str] = mapped_column(String(32), default="not_started", index=True, nullable=False) segment_video_url: Mapped[str | None] = mapped_column(String(512), nullable=True) segment_video_path: Mapped[str | None] = mapped_column(String(512), nullable=True) original_video_content: Mapped[str | None] = mapped_column(Text, nullable=True) original_video_category: Mapped[str | None] = mapped_column(String(160), nullable=True) original_video_audience: Mapped[str | None] = mapped_column(Text, nullable=True) segment_content: Mapped[str | None] = mapped_column(Text, nullable=True) segment_category: Mapped[str | None] = mapped_column(String(160), nullable=True) segment_audience: Mapped[str | None] = mapped_column(Text, nullable=True) analysis_json: Mapped[dict[str, Any] | list[Any] | None] = mapped_column(_JSON_TYPE, nullable=True) ai_suggestion_json: Mapped[dict[str, Any] | list[Any] | None] = mapped_column(_JSON_TYPE, nullable=True) module_project_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True) split_celery_task_id: Mapped[str | None] = mapped_column(String(160), nullable=True, index=True) split_enqueued_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True) split_started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True) split_lease_until: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, index=True) split_next_retry_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, index=True) split_retry_count: Mapped[int] = mapped_column(Integer, default=0, nullable=False) split_last_error: Mapped[str | None] = mapped_column(Text, nullable=True) split_completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True) analysis_error_message: Mapped[str | None] = mapped_column(Text, nullable=True)