81 lines
4.3 KiB
Python
81 lines
4.3 KiB
Python
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)
|