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feat(api): implement AsyncTrainingManager MVP with SQLite persistence
liumaolin
- Add api_server module with adapter pattern architecture
- Implement AsyncTrainingManager using asyncio.subprocess + SQLite
- Add TaskQueueAdapter abstract base class for future server mode
- Create domain models: Task, TaskStatus, ProgressInfo
- Add run_pipeline.py wrapper script for subprocess execution
- Create config module for centralized environment variables
- Add aiosqlite dependency to pyproject.toml
- Include test config files for pipeline validation
The AsyncTrainingManager provides:
- Async task queue with SQLite persistence
- Real-time progress tracking via stdout JSON parsing
- Task cancellation and status querying
- Progress subscription for SSE streaming
- Application restart recovery support
