Files
label_ai_service/config.yaml
wh e1eb5e47b1 feat: Phase 1+2 — project setup and core infrastructure
- requirements.txt, config.yaml, .env, Dockerfile, docker-compose.yml
- app/core: config (YAML+env override), logging (JSON structured),
  exceptions (typed hierarchy), json_utils (Markdown fence stripping)
- app/clients: LLMClient ABC + ZhipuAIClient (run_in_executor),
  StorageClient ABC + RustFSClient (boto3 head_object for size check)
- app/main.py: FastAPI app with health endpoint and router registration
- app/core/dependencies.py: lru_cache singleton factories
- tests/conftest.py: mock_llm, mock_storage, test_app, client fixtures
- pytest.ini: asyncio_mode=auto
- 11 unit tests passing
2026-04-10 15:22:45 +08:00

20 lines
520 B
YAML

server:
port: 8000
log_level: INFO
storage:
buckets:
source_data: "source-data"
finetune_export: "finetune-export"
backend: {} # callback_url injected via BACKEND_CALLBACK_URL env var
video:
frame_sample_count: 8 # uniform frames sampled for video-to-text
max_file_size_mb: 200 # video size limit (override with MAX_VIDEO_SIZE_MB)
keyframe_diff_threshold: 30.0 # grayscale mean-diff threshold for keyframe detection
models:
default_text: "glm-4-flash"
default_vision: "glm-4v-flash"