prepare fastapi root layout for server deployment

2026-06-04 10:55:23 +08:00
parent eb43573a44
commit b46e43aadc
103 changed files with 347 additions and 197 deletions
@@ -0,0 +1,53 @@
+import asyncio
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+from app.agents.llm_adapter import OpenAICompatibleLLMClient
+from app.agents.patient_agent import PatientAgent
+from app.core.config import settings
+from app.db.session import SessionLocal
+from app.repositories.case_repository import CaseRepository
+
+
+async def main() -> None:
+    """本地调试：直接调用 Patient Agent 流式回复，绕过前端和 FastAPI。"""
+    client = OpenAICompatibleLLMClient()
+    print(f"mock_mode={client.is_mock_mode}")
+    print(f"fast_model={settings.llm_fast_model}")
+    print(f"fast_thinking={settings.llm_fast_thinking_enabled}")
+    print(f"stream_first_token_timeout={settings.llm_stream_first_token_timeout_seconds}")
+    print(f"stream_total_timeout={settings.llm_stream_total_timeout_seconds}")
+
+    db = SessionLocal()
+    try:
+        case = CaseRepository(db).list_active_cases()[0]
+        text = ""
+        first_token_ms = None
+        done_seen = False
+        async for chunk in PatientAgent().stream_reply(case, [], "孩子发热几天了？最高体温多少？", "novice"):
+            if first_token_ms is None and chunk.first_token_ms is not None:
+                first_token_ms = chunk.first_token_ms
+            if chunk.done:
+                done_seen = True
+                print(f"done_seen={done_seen}")
+                print(f"first_token_ms={first_token_ms}")
+                print(f"total_latency_ms={chunk.total_latency_ms}")
+                print(f"model={chunk.model}")
+                print(f"fallback_used={chunk.fallback_used}")
+                print(f"text_len={len(text)}")
+                print(f"text_preview={text[:30]}")
+                break
+            text += chunk.delta
+        if not done_seen:
+            print("done_seen=False")
+            print(f"text_len={len(text)}")
+            print(f"text_preview={text[:30]}")
+            raise SystemExit(1)
+    finally:
+        db.close()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())