feat: add streaming learning assistant and knowledge base scaffolding

app/tasks/__init__.py

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+"""异步任务模块：生产环境通过 Celery worker 执行耗时任务。"""

app/tasks/celery_app.py

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+from celery import Celery
+
+from app.core.config import settings
+
+celery_app = Celery(
+    "medical_agent",
+    broker=settings.celery_broker_url,
+    backend=settings.celery_result_backend,
+)
+celery_app.conf.update(
+    task_serializer="json",
+    accept_content=["json"],
+    result_serializer="json",
+    timezone="Asia/Shanghai",
+    enable_utc=False,
+)

app/tasks/knowledge_ingestion_tasks.py

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+import asyncio
+
+from app.db.session import SessionLocal
+from app.services.document_ingestion_service import DocumentIngestionService
+from app.tasks.celery_app import celery_app
+
+
+@celery_app.task(name="knowledge.ingest_document")
+def ingest_knowledge_document(document_id: int, task_id: int) -> None:
+    """知识库异步任务：在 Celery worker 中执行 PDF 解析和向量入库。"""
+    with SessionLocal() as db:
+        asyncio.run(DocumentIngestionService(db).ingest_document(document_id, task_id))
+        db.commit()