xiaoxia
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bcb1663de4
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ci: 启用BuildKit分布式缓存+Gitea Registry,优化构建速度
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- 拆分 requirements.txt: 稳定大包放 requirements-base.txt(numpy/scipy/opencv/Pillow/sqlalchemy 等),业务依赖留 requirements.txt
- 优化 Dockerfile: 分两层安装依赖,基础层缓存命中率高
- CI 改用 docker buildx build,缓存存 Gitea Container Registry
- 启用 Gitea Packages/Container Registry(git.xiaoxiajianji.com)
- 镜像仍推内网 Registry(172.30.18.198:5000),缓存独立存 Gitea Registry
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2026-07-03 18:13:49 +08:00 |
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CI Test
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46d9b9edfe
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fix: add Chinese apt mirrors to both Dockerfiles for faster builds
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2026-06-27 20:38:37 +08:00 |
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Celery Worker Fix Agent
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8210806632
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fix: 修复 Celery Worker 任务注册和导入问题
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1. 修复 Worker 启动入口: celery_app → worker_app.celery_app
- 旧 celery_app.py 不导入任何任务模块,导致 Worker 注册 0 个任务
- 删除旧版 apps/worker/celery_app.py,统一使用 worker_app/celery_app.py
2. 为缺少装饰器的任务补充 @celery_app.task:
- classification.py: classify_asset() 添加装饰器
- generation.py: generate_video() 添加装饰器,修正签名匹配 API 调用方式
3. 确保 voice_extraction 任务被正确注册:
- 添加 voice_extraction 到 celery_app imports
- 修复 voice_extraction.py 中错误的相对导入 (.celery_app → worker_app.celery_app)
- 修复 dedup.py 中指向已删除模块的导入
4. 修复 worker_app/celery_app.py:
- 添加 broker_connection_retry_on_startup=True
- imports 中添加 voice_extraction 和 dedup 模块
5. 修复 Dockerfile:
- CMD 改为 celery -A worker_app.celery_app
- 添加非 root 用户 celery 运行 Worker
6. 新建 packages/shared/config.py 和 storage.py 兼容层
- 为 worker 任务模块提供统一的 config/storage 访问入口
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2026-06-27 19:31:07 +08:00 |
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CI Bot
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11494918eb
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fix: resolve all workspace removal breakage - stub permissions, quota, ports, adapters
- Remove Workspace from domain/__init__.py exports
- Stub domain/permissions.py (all checks pass)
- Stub domain/quota.py (all checks pass)
- Create missing port stubs: workspace_member_repository, workspace_repository, workspace_invitation_repository
- Create missing adapter stubs: workspace_repository, workspace_invitation_repository
- Create routes/permissions.py stub (require_workspace_member no-op)
- Fix .env Redis URL encoding on production server
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2026-06-27 09:16:53 +08:00 |
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xiaoxia
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e915c0d6df
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fix: 创建 API 和 Worker Dockerfiles
- 创建 infra/docker/api.Dockerfile 用于 FastAPI 应用
- 创建 infra/docker/worker.Dockerfile 用于 Celery Worker
- 使用 python:3.12-slim-bookworm 作为基础镜像
- Worker 包含 ffmpeg 和 opencv 依赖(用于视频处理)
- API 包含 PostgreSQL 开发库(用于 psycopg2 编译)
- 分离镜像减少不必要的依赖
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2026-06-27 00:04:15 +08:00 |
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Xiaoxia AI
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816d98175a
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fix(ops): expose release version and limit worker concurrency
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2026-06-23 07:52:19 +08:00 |
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Xiaoxia AI
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46bd774742
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build(docker): include maintenance scripts
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2026-06-21 11:32:54 +08:00 |
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Xiaoxia AI
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0809a079c5
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refactor(db): introduce alembic schema baseline
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2026-06-21 06:48:16 +08:00 |
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Xiaoxia AI
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1fb8463bab
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fix(worker): speed up ffmpeg package install
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2026-06-20 22:52:23 +08:00 |
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Xiaoxia AI
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3afe9689f7
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feat(worker): generate real mp4 outputs
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2026-06-20 22:42:07 +08:00 |
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Xiaoxia AI
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2c86106c08
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fix: switch docker pip mirror to aliyun
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2026-06-15 18:53:37 +08:00 |
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Xiaoxia AI
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ba4e672bf8
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fix: use domestic pip mirror for docker builds
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2026-06-15 18:52:33 +08:00 |
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Xiaoxia AI
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b5a62ee9a3
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feat: initial SaaS scaffold
- domain: User, Workspace, Project, AssetLibrary, Asset, IngestJob
- ports: repository interfaces
- application: use cases
- adapters: in-memory
- API: FastAPI 5 routes
- worker: Celery ingest_asset
- tests: 4 passing
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2026-06-15 15:17:40 +08:00 |
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