fix(chat): resolve Auto-route failover event-loop freeze (#812)
Root cause: ensure_structured_column() executed a synchronous blocking engine.connect().execute(SELECT information_schema.columns ...) inside the async request path (_build_chat_history / _maybe_compress_history), freezing the uvicorn event loop and hanging all endpoints (~200s, recovered only by docker restart). Fix: - chat_context.py: remove per-request ensure_structured_column() calls; run once idempotently at app startup (main.py lifespan). Use CURRENT_DATABASE() for PostgreSQL compatibility. - main.py: add startup-only ensure_structured_column() hook (try/except). - llm_client.py: trust_env=False + bounded httpx.Timeout/wait_for so broken endpoints fail fast instead of hanging the event loop. - chat_service.py: run media generation in a background daemon thread with its own event loop (_launch_media_task_bg) so SSE end does not cancel image/video tasks (#811); remove TEMP faulthandler diagnostic. Safe-align: persist accumulated live container changes (admin/*, knowledge, market, models, config, observability, mcp_client, platform_knowledge, im_bot_platform, chat_media, capability_registry, requirements) and add workflow_templates. Verified: live failover test (model-006 -> conn-refused) returns in ~1.9s with concurrent login 0.83s/200; event-loop responsiveness restored (sub-second).
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@@ -98,10 +98,11 @@ def resolve_auto_model(capability: str, db: Session) -> Optional[AIModel]:
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# 媒体类能力(image/video/audio):无显式配置时自动发现任一启用的模型
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# 避免用户未在后台配置"能力默认模型"时 Auto 回退到文本模型导致"无法生成图片/视频"
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if capability in ("image", "video", "audio"):
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from sqlalchemy import text as _text, func
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from sqlalchemy import text as _text, func, type_coerce
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from sqlalchemy.dialects.postgresql import JSONB
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m = db.query(AIModel).filter(
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AIModel.is_enabled == True,
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func.json_contains(AIModel.capabilities, f'"{capability}"'),
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AIModel.capabilities.cast(JSONB).contains(type_coerce([capability], JSONB)),
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).first()
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if m:
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return m
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