67 lines
3.5 KiB
Python
67 lines
3.5 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Any
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from sqlalchemy import DateTime, Float, ForeignKey, Index, Integer, JSON, String, Text, text
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base, SoftDeleteMixin, TimestampMixin
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_JSON_TYPE = JSON().with_variant(JSONB, "postgresql")
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class ShotReplicateTaskSet(Base, TimestampMixin, SoftDeleteMixin):
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"""拆镜复刻总任务集。"""
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__tablename__ = "shot_replicate_task_sets"
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__table_args__ = (
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Index("idx_shot_replicate_task_sets_user_created", "user_id", "created_at"),
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Index("idx_shot_replicate_task_sets_status", "status"),
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Index("idx_shot_replicate_task_sets_analysis_status", "analysis_status"),
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Index("idx_shot_task_sets_analysis_lease", "analysis_status", "analysis_lease_until"),
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Index("idx_shot_replicate_task_sets_split_status", "split_status"),
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Index(
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"uq_shot_replicate_task_sets_user_idempotency",
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"user_id",
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"idempotency_key",
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unique=True,
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postgresql_where=text("deleted_at IS NULL AND idempotency_key IS NOT NULL"),
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),
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)
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id: Mapped[str] = mapped_column(String(32), primary_key=True)
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user_id: Mapped[str] = mapped_column(
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String(32), ForeignKey("users.id", ondelete="CASCADE"), index=True, nullable=False
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)
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title: Mapped[str | None] = mapped_column(String(160), nullable=True)
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video_url: Mapped[str] = mapped_column(String(512), nullable=False)
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video_path: Mapped[str] = mapped_column(String(512), nullable=False)
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video_duration_seconds: Mapped[float] = mapped_column(Float, nullable=False)
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status: Mapped[str] = mapped_column(String(32), default="pending_analysis", index=True, nullable=False)
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analysis_status: Mapped[str] = mapped_column(String(32), default="pending", index=True, nullable=False)
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split_status: Mapped[str] = mapped_column(String(32), default="none", index=True, nullable=False)
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original_video_content: Mapped[str | None] = mapped_column(Text, nullable=True)
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original_video_category: Mapped[str | None] = mapped_column(String(160), nullable=True)
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original_video_audience: Mapped[str | None] = mapped_column(Text, nullable=True)
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ai_suggestion_json: Mapped[list[Any] | dict[str, Any] | None] = mapped_column(_JSON_TYPE, nullable=True)
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analysis_raw_json: Mapped[dict[str, Any] | list[Any] | None] = mapped_column(_JSON_TYPE, nullable=True)
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analysis_result_json: Mapped[dict[str, Any] | list[Any] | None] = mapped_column(_JSON_TYPE, nullable=True)
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segment_count: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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completed_segment_count: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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failed_segment_count: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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analysis_attempt_no: Mapped[int] = mapped_column(Integer, default=1, nullable=False)
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analysis_claim_token: Mapped[str | None] = mapped_column(String(64), nullable=True)
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analysis_started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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analysis_lease_until: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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analysis_error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
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split_error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
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idempotency_key: Mapped[str | None] = mapped_column(String(64), nullable=True, index=True)
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