Files
xiaoxia-saas/packages/adapters/sqlalchemy_impl/asset_atom_clip_repository.py
T
xiaoxia a1f25a4426
CI/CD Pipeline / Check if frontend-only change (push) Has been skipped
CI/CD Pipeline / Dedup Check - skip PR tests when covered by push pipeline (push) Successful in 2s
CI/CD Pipeline / Check push changed paths (pull_request) Has been skipped
CI/CD Pipeline / Dedup Check - skip PR tests when covered by push pipeline (pull_request) Successful in 2s
CI/CD Pipeline / PR Build API Image (push) Has been skipped
CI/CD Pipeline / PR Build Web Image (push) Has been skipped
CI/CD Pipeline / PR Build Worker Image (push) Has been skipped
CI/CD Pipeline / Check if frontend-only change (pull_request) Successful in 1s
CI/CD Pipeline / Check push changed paths (push) Successful in 6s
CI/CD Pipeline / Frontend Lint (push) Has been skipped
CI/CD Pipeline / Validate - Style (pull_request) Has been skipped
CI/CD Pipeline / Validate - Security (pull_request) Has been skipped
CI/CD Pipeline / Validate - Python (mypy + alembic) (pull_request) Has been skipped
CI/CD Pipeline / Build Staging API Image (pull_request) Has been skipped
CI/CD Pipeline / Build Staging Web Image (pull_request) Has been skipped
CI/CD Pipeline / Build Staging Worker Image (pull_request) Has been skipped
CI/CD Pipeline / Unit Tests (pull_request) Has been skipped
CI/CD Pipeline / Frontend Lint (pull_request) Has been skipped
CI/CD Pipeline / Integration Tests (pull_request) Has been skipped
CI/CD Pipeline / Frontend Unit Tests (pull_request) Has been skipped
CI/CD Pipeline / PR Build Web Image (pull_request) Successful in 42s
CI/CD Pipeline / PR Build API Image (pull_request) Successful in 49s
CI/CD Pipeline / Retag skipped Staging API Image (pull_request) Has been skipped
CI/CD Pipeline / Retag skipped Staging Web Image (pull_request) Has been skipped
CI/CD Pipeline / Retag skipped Staging Worker Image (pull_request) Has been skipped
CI/CD Pipeline / Build Production API Image (pull_request) Has been skipped
CI/CD Pipeline / Build Production Web Image (pull_request) Has been skipped
CI/CD Pipeline / Deploy Staging (Watchtower auto-deploy) (pull_request) Has been skipped
CI/CD Pipeline / Build Production Worker Image (pull_request) Has been skipped
CI/CD Pipeline / Deploy Production (pull_request) Has been skipped
CI/CD Pipeline / Staging E2E Tests (pull_request) Has been skipped
CI/CD Pipeline / Production Browser E2E (pull_request) Has been skipped
CI/CD Pipeline / Staging API Integration Tests (pull_request) Has been skipped
CI/CD Pipeline / ACR Image Cleanup (pull_request) Has been skipped
CI/CD Pipeline / Canary Release to Production (pull_request) Has been skipped
CI/CD Pipeline / Build Staging Web Image (push) Successful in 37s
CI/CD Pipeline / Build Staging Worker Image (push) Successful in 43s
Preview Deploy / Deploy Preview Environment (pull_request) Successful in 2m17s
CI/CD Pipeline / Validate - Python (mypy + alembic) (push) Successful in 2m37s
CI/CD Pipeline / Integration Tests (push) Successful in 2m57s
PR Automation / Auto Approve on CI Green (pull_request) Successful in 3m19s
PR Automation / Auto Merge on CI Green + Approved (pull_request) Has been skipped
CI/CD Pipeline / PR Build Worker Image (pull_request) Successful in 3m14s
CI/CD Pipeline / Validate - Style (push) Successful in 3m39s
CI/CD Pipeline / CI Gate (pull_request) Successful in 2s
CI/CD Pipeline / Build Staging API Image (push) Successful in 4m7s
CI/CD Pipeline / Retag skipped Staging API Image (push) Has been skipped
CI/CD Pipeline / Retag skipped Staging Worker Image (push) Has been skipped
CI/CD Pipeline / Retag skipped Staging Web Image (push) Has been skipped
CI/CD Pipeline / Deploy Staging (Watchtower auto-deploy) (push) Successful in 46s
CI/CD Pipeline / Frontend Unit Tests (push) Successful in 5m23s
CI/CD Pipeline / Validate - Security (push) Successful in 5m39s
AI Code Review / AI Code Review (pull_request) Successful in 6m42s
CI/CD Pipeline / ACR Image Cleanup (push) Successful in 1m30s
CI/CD Pipeline / Staging API Integration Tests (push) Successful in 2m50s
CI/CD Pipeline / Staging E2E Tests (push) Failing after 4m22s
CI/CD Pipeline / Unit Tests (push) Successful in 10m29s
CI/CD Pipeline / Build Production API Image (push) Has been skipped
CI/CD Pipeline / Build Production Web Image (push) Has been skipped
CI/CD Pipeline / CI Gate (push) Has been skipped
CI/CD Pipeline / Build Production Worker Image (push) Has been skipped
CI/CD Pipeline / Canary Release to Production (push) Has been skipped
CI/CD Pipeline / Deploy Production (push) Has been skipped
CI/CD Pipeline / Production Browser E2E (push) Has been skipped
feat(worker): #1970 AI 标签 backfill 支持 force 重打降级记录 (#1989)
Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-09-19 10:49:21 +08:00

139 lines
5.4 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""素材原子片段仓储 SQLAlchemy 实现。"""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.models import AssetAtomClipModel
from packages.domain.asset_atom_clip import AssetAtomClip
class SQLAlchemyAssetAtomClipRepository:
def __init__(self, session: Session):
self.session = session
def create(self, clip: AssetAtomClip) -> AssetAtomClip:
model = self._to_model(clip)
self.session.add(model)
self.session.flush()
self.session.commit()
return clip
def batch_create(self, clips: list[AssetAtomClip]) -> list[AssetAtomClip]:
if not clips:
return []
models = [self._to_model(c) for c in clips]
self.session.add_all(models)
self.session.flush()
self.session.commit()
return clips
def find_by_asset(self, asset_id: str) -> list[AssetAtomClip]:
models = (
self.session.query(AssetAtomClipModel)
.filter(AssetAtomClipModel.asset_id == asset_id)
.order_by(AssetAtomClipModel.clip_index.asc())
.all()
)
return [self._to_domain(m) for m in models]
def find_by_id(self, clip_id: str) -> AssetAtomClip | None:
model = self.session.query(AssetAtomClipModel).filter(AssetAtomClipModel.id == clip_id).first()
if model is None:
return None
return self._to_domain(model)
def find_by_ids(self, clip_ids: list[str]) -> list[AssetAtomClip]:
if not clip_ids:
return []
models = self.session.query(AssetAtomClipModel).filter(AssetAtomClipModel.id.in_(clip_ids)).all()
return [self._to_domain(m) for m in models]
def delete_by_asset(self, asset_id: str) -> int:
count = (
self.session.query(AssetAtomClipModel)
.filter(AssetAtomClipModel.asset_id == asset_id)
.delete(synchronize_session=False)
)
self.session.commit()
return count
def count_by_asset(self, asset_id: str) -> int:
return self.session.query(AssetAtomClipModel).filter(AssetAtomClipModel.asset_id == asset_id).count()
def find_candidates_for_selection(
self,
asset_ids: list[str],
*,
min_duration: float | None = None,
max_duration: float | None = None,
limit: int = 100,
) -> list[AssetAtomClip]:
"""按筛选条件查找候选原子片段,按时长排序。用于选片逻辑。"""
query = self.session.query(AssetAtomClipModel).filter(AssetAtomClipModel.asset_id.in_(asset_ids))
if min_duration is not None:
query = query.filter(AssetAtomClipModel.duration >= min_duration)
if max_duration is not None:
query = query.filter(AssetAtomClipModel.duration <= max_duration)
query = query.order_by(AssetAtomClipModel.clip_index.asc())
if limit > 0:
query = query.limit(limit)
models = query.all()
return [self._to_domain(m) for m in models]
def update_ai_tags(self, clip_id: str, ai_tags: dict) -> bool:
"""更新指定片段的 ai_tags 字段."""
count = (
self.session.query(AssetAtomClipModel).filter(AssetAtomClipModel.id == clip_id).update({"ai_tags": ai_tags})
)
self.session.commit()
return count > 0
def find_untagged(self, limit: int = 100, include_downgraded: bool = False) -> list[AssetAtomClip]:
"""查找未完成 AI 打标的片段,用于回填.
默认仅匹配 ai_tags IS NULL;include_downgraded=True 时额外包含
只有 inherited_tags 的降级记录(视觉 API 失败时写入,无 has_text 字段),
供强制回填(#1970 force backfill)使用。
"""
query = self.session.query(AssetAtomClipModel)
if include_downgraded:
# as_string() → JSON/JSONB ->> 取值;NULL 记录或缺 has_text 键
# (降级记录)均为 NULL,has_text 为 true/false 的完整记录被排除
query = query.filter(AssetAtomClipModel.ai_tags["has_text"].as_string().is_(None))
else:
query = query.filter(AssetAtomClipModel.ai_tags.is_(None))
models = query.order_by(AssetAtomClipModel.created_at.asc()).limit(limit).all()
return [self._to_domain(m) for m in models]
def _to_model(self, clip: AssetAtomClip) -> AssetAtomClipModel:
return AssetAtomClipModel(
id=clip.id,
asset_id=clip.asset_id,
start_time=clip.start_time,
end_time=clip.end_time,
duration=clip.duration,
clip_index=clip.clip_index,
tags=clip.tags,
ai_tags=clip.ai_tags,
scene_change_at=clip.scene_change_at,
is_fallback=clip.is_fallback,
created_at=clip.created_at or datetime.now(UTC),
)
def _to_domain(self, model: AssetAtomClipModel) -> AssetAtomClip:
return AssetAtomClip(
id=model.id,
asset_id=model.asset_id,
start_time=model.start_time,
end_time=model.end_time,
duration=model.duration,
clip_index=model.clip_index,
tags=model.tags or [],
scene_change_at=model.scene_change_at,
is_fallback=model.is_fallback,
created_at=model.created_at,
)