feat:backend dev - #75
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Describe the backend package layout (common/framework/app) and the server domain module split: user, project, asset, character with action/character_template/wearable subdomains, generation and media. All modules currently define abstract interfaces only.
Add the shared response/exception kernel in windup_common: Response/ListResponse unified bodies (HTTP always 200, business code in body), BizException base, ModelException for LLM calls, and the BizCode/ModelErrorType enums. Add the app-level global exception handlers that convert these into Response.fail.
Add windup_framework infrastructure abstractions: SQLAlchemy db base/session, config loaders (database/provider/storage), LLM provider protocols (chat/image/video) and Kodo object storage.
Add abstract service interfaces and domain models for the server modules: user, project, asset, character (with action/character_template/wearable subdomains), generation and media. Drop the now-obsolete .gitkeep placeholders.
Drop the placeholder health router and its registration in create_app; the web layer now revolves around the global exception handlers.
Expose the windup CLI entrypoint (windup_app.bootstrap.app:main) and add python-multipart for form/file uploads; refresh uv.lock accordingly.
Point the sub-entity references at the nested character subpackages (character.action / character_template / wearable) instead of the old top-level paths.
Remove unused imports flagged by ruff F401 in generation/interface.py and user/model.py.
将 validate-branch 与 validate-commits 从 backend.yml 拆到独立的 naming.yml。命名规范门禁不局限于 backend 范畴,应作为仓库级 CI 单独维护(PR review:@minorcell 建议)。 backend.yml 仅保留 lint-and-test;naming.yml 用独立 concurrency group 避免与 backend 共用 group 互相取消。
Add SqlAlchemyProjectService inheriting ProjectService; implements create/get/list/delete plus project_name_exists against SQLAlchemy. - interface: reconcile ProjectService to session-per-call; session is passed per request via get_session, create_project takes **fields. - service: stateless impl as a module-level `service` singleton; flush only, commit/rollback handled by get_session; list ordered by id desc. - model: id uses BigInteger().with_variant(Integer, "sqlite") so the in-memory SQLite test DB autoincrements; Postgres unchanged. - api/bootstrap: import service from the service module, register project_router, add a print_banner startup stub.
Add SQLite in-memory test fixtures and project module tests. - conftest: SQLite in-memory fixtures (StaticPool, single connection) with no Docker Postgres dependency; get_session override for the API TestClient. - test_project_service: 14 unit tests for create/exists/get/list/delete covering the unique constraint, pagination, id-desc ordering and user filter. - test_project_api: 9 end-to-end tests via TestClient covering CRUD and the unified response contract (HTTP 200, code in body, 400/404).
Reflect character/media/generation/user module redesigns in the split document.
Replace strategy pattern with typed submit methods.
- model: add CharacterImageOutput/CharacterActionOutput/CharacterActionFrame
as typed task results, remove generic GenerationResult
- interface: split submit into generate_character_image and
generate_character_action with typed inputs
- document SSE streaming flow (GET /generation/tasks/{id}/stream)
replacing frontend polling
Remove OAuth abstract methods and models from UserService. Commented-out methods: get_oauth_authorize_url, login_by_oauth, bind_oauth, get_oauth_bindings. Related imports OAuthCallbackInput and UserOAuth removed from interface. The OAuth region is preserved as a placeholder for future extension.
Add ObjectStorageMediaService implementing MediaService. - service: upload to Kodo via KodoStorage adapter, auto-generated object keys with category prefix, no user filenames in keys - app: register media router (POST /media/upload) in create_app
refactor:asset character media
ci: split naming gate into its own workflow
feat:project module
跨层契约(common,无内部依赖):ActionType/GenRoute/CharacterCard/ActionSpec/AssetPackageRef。ai_engine 与 app 均依赖此。Refs 1024XEngineer#53。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
SufyVideoProvider(kling i2v,OpenAI 兼容异步 /videos)+ OnnxU2NetMatteProvider(onnxruntime 直跑 u2netp,替代 rembg 在 3.12 无轮子的 numba 链)+ 能力接口(Image/Video/MatteProvider)。同时声明 framework 代码实际 import 的依赖(langchain-openai/onnxruntime/qiniu/pillow/numpy)——补齐 1024XEngineer#64 机器审指出的缺依赖。Refs 1024XEngineer#53 1024XEngineer#35。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
填充空骨架:slicing(抽帧 + 周期/一次性选帧)、strategy(ROUTE_MATRIX 分流 + VideoFrameStrategy 图生视频)、prompt(walk/jump/attack/idle 提示词库)、postprocess(像素化 + 脚线对齐 + 打包 + 逐帧时长)、generator 串联。MVP:root_motion 暂不做(character_data.frames 无该字段,见 1024XEngineer#63);graph/ 留占位非本 PR。Refs 1024XEngineer#53 1024XEngineer#35 #21。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Remove dead storage module (empty __init__.py and kodo.py) from framework - Implement actual Qiniu Kodo SDK upload in ObjectStorageMediaService - Move MediaCategory to windup_common.enums.media, remove duplicate from media/model - Update media __init__ to import MediaCategory from common
Move qiniu import inside upload() so module collection does not fail when qiniu is not installed (e.g. CI test runs).
按 MVP 边界(与作者对齐):CharacterGeneratorPort.generate(card, action, master, progress) → GeneratedAction(frames/durations/fps);母版由 server 以 bytes 传入,不再经 ArtifactStore;去掉 sprite sheet 打包与存储引用(上传/落库/导出在 server/export 侧)。补 VideoFrameStrategy.derive 离线端到端测试(monkeypatch 抽帧,不解码 mp4/不联网)。Refs 1024XEngineer#53。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
refactor(media): implement Qiniu upload and deduplicate MediaCategory
…e optional on macOS x86_64
…d type field in result
backend-dev 的 ActionType.JUMP 值是大写 "JUMP",与其它小写成员不一致,且 executor 按值映射到 ai_engine 的 JUMP="jump" 会失败;改为 "jump"。(原 #24 另加一个 JUMP="jump" 导致枚举'JUMP already defined'、pytest 挂——改成修正现有值,不重复定义。)另 ROUTE_MATRIX 把 idle 从空桩 PROC_IDLE 改走 VIDEO_I2V(build_idle_prompt 躯干呼吸)。现 walk/idle/attack/jump 四动作全走视频 i2v。Refs 1024XEngineer#53 1024XEngineer#35。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
… sprite_sample_url
feat(generation): 启用 jump 动作 + idle 走 i2v(四动作全跑通)
idle: 提示词原写 "chest and shoulders rise and fall",直接让肩膀起伏, i2v 出的是耸肩不是呼吸。改为只让胸腔/躯干在慢节律里起伏、肩膀锁平同高, 并去掉亚阈值幅度词(barely/faintly),过 prompt_lint。 jump: 重甲带剑角色的跳跃强动作先验压不住——站立母版让 i2v 只举剑摆造型、 不腾空(同 attack 用站立母版会抡过头顶的老坑)。按 master_prep 既有铁律 "母版姿态决定动作,提示词只能微调",给 jump 在 MASTER_POSES 补极限蓄力 半蹲母版姿态;runtime 的 prepare_master 仍只补顶部留白,此项为纯 spec。 prompt_lint 通过。on-screen 效果复验待 qnaigc 视频源站从 522 恢复后补跑。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
fix(ai_engine): idle 去耸肩、jump 补蓄力母版压站姿先验
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Summary
The current head has several backend correctness and security blockers. Inline comments cover task dispatch, project scoping, outbound URL fetching, and upload resource handling.
Additional Finding
- [P1] Add database migrations before deployment. The PR introduces
windup_project,windup_character, andwindup_generation_taskORM tables, but schema creation only appears in tests viaBase.metadata.create_all; the application has neither migrations nor startup schema creation. A fresh or existing deployment will fail with missing-table errors when these endpoints are called. Please add versioned migrations and document how they are applied.
Verification
GitHub reports lint-and-test, Branch name, and Commit messages successful for head dbbcb74723b722ae0f992aa056be0bd7af894533. I could not rerun the commands locally because uv is not installed in the review environment.
该包职责是**生成任务的编排调度**(建 PENDING 记录 → 后台 executor 驱动 → 查询状态), 实际 AI 生成在 ai_engine;原名 generation 易与"生成本身"混淆,更名为 orchestrator。 - git mv server/generation → server/orchestrator(rename 保留历史) - 全部 windup_app.server.generation → .orchestrator(bootstrap / web api / 包内自引用 / 测试) - 分层契约不变(约束在 windup_app.server 层级,不牵子包名) 门禁:ruff / lint-imports(2 kept) / 编排测试(3 passed) 全绿。类名(GenerationTask 等) 与 web 路由不动(仍描述生成任务,改动最小)。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
…n-orchestrator refactor(app): generation 包更名为 orchestrator(生成任务编排/调度)
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- Add name varchar(20) column to windup_character ORM model - Add name field to CharacterCreate, CharacterUpdate, CharacterOut schemas
feat(character): add name field to character model and API schemas
- Add backend/Dockerfile with multi-stage build (uv + Python 3.12) - Add docker-compose.yml with backend and PostgreSQL services - Add db/init.sql for automatic database table initialization - Add .env.example with configuration template - PostgreSQL configured with port 7856 and secure password
…browser 三处让部署跑不起来的问题，都在这台服务器上实测定位： 1. 构建阶段 uv sync 超时。宿主机访问 pypi.org 需 8s，构建容器内默认超时会在 下载大包（uvloop）时 "operation timed out" 直接失败。改走国内镜像源并把 UV_HTTP_TIMEOUT 拉到 180s。 2. 容器起来即反复重启，报 "exec /app/.venv/bin/uvicorn: no such file or directory"。 文件其实存在，报的是它 shebang 指向的解释器——uv 装出来的 venv 里 shebang 与 .pth 都是绝对路径，builder 在 /build、runtime 在 /app，跨路径拷贝后解释器与 workspace 包全部失效。把 builder 的 WORKDIR 也改成 /app 即可。 3. 七牛上传 TLS 握手超时、媒体上传请求挂死。宿主机网卡 MTU 1480，而 compose 自建网络不继承 daemon 的 mtu 设置、默认仍是 1500，大包被丢。显式给网络设 1450 后，up-z0.qiniup.com 从握手超时 14s 变为 1.0s，上传恢复正常。 4. 浏览器跨域被全部拦下：OPTIONS 预检返回 405、响应无 access-control-* 头， 后端日志里连请求都看不到。挂上 CORSMiddleware，允许来源用 WINDUP_CORS_ORIGINS 覆盖，并放行 Vercel 预览域名。 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
…imiting - Add User ORM model and service implementation - Add JWT dual token (access + refresh) authentication - Add email verification via Resend - Add Redis-based rate limiting middleware - Add auth middleware with whitelist - Add /auth/* API endpoints (register, login, send-code, refresh, logout, me, change-password) - Add unit tests for user service (25 tests passing) - Move Redis client to db package for better organization - Add dependencies: redis, resend, passlib[bcrypt], pydantic[email]
- Add auth_client fixture with valid JWT token - Update test_project_api.py to use auth_client - Fix CI failures caused by auth middleware blocking unauthenticated requests
- Rate limit middleware now skips checks when Redis is not available - Prevents CI failures in environments without Redis - Logs warning when Redis connection fails
fix(deploy): 修好容器构建与浏览器可达性（服务器实测定位）
feat:user module
把这个分支在真实服务器上部署跑通了，反馈三个它自身没暴露的问题 + 一处可能的重复工作在一台云主机（Ubuntu 24.04 / 4 核 / 7GB / 无 GPU）上，用本分支的代码完整部署并端到端跑通了：13 个端点可用、媒体上传真打七牛并返回可公网访问的 URL、生成任务走完 pending → running → completed 拿到真实图片。 过程中卡了三次，都不是本分支代码写错，而是部署环境相关、但不修就起不来的问题。已提 PR 到本分支：#30（部署修复）、#31（SSE）。 一、三个卡点1. 构建阶段 2. 容器起来即反复重启，报 这条最值得说：那个文件其实是存在的。报错说的不是脚本本身，而是它 shebang 里指向的解释器 —— uv 装出来的 venv 里 shebang 与 workspace 包的 3. 七牛上传请求挂死、镜像拉取卡住。 根因是 Docker 网络 MTU 大于宿主机链路： 这条有个坑：只改 二、CORS 缺失会拦掉前端所有请求没有 CORS 中间件时，OPTIONS 预检返回 405、响应无 补充一个前端侧的坑：本机开着代理时浏览器请求会全部失败并报 三、可能的重复工作：SSE 推送看到日报里提到「重新设计 workflow domain / sse 推送」—— 我在 #31 里已经实现了一版 SSE，为避免重复或冲突，想先对齐一下。 我那版的要点，供参考或直接弃用：
如果你的 workflow domain 重设计里已经包含 SSE，#31 可以关掉，我把上面这些实测结论并进去就行 —— 不必两份都留着。请告诉我怎么处理更合适。 四、另外单独提了一个不依赖本分支的 PR#115 把 Dockerfile / docker-compose / CORS 直接提到了 |
This was referenced Aug 4, 2026
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背景：
feat(backend): 后端核心模块实现 — 基础设施 + 生成管线 + API 契约
新增能力
common（共享层）
framework（基础设施层）
ai_engine（AI 能力层）
app（应用层）