chore: update gitignore; feat: 新增customer_agent业务模块与api路由

service/customer_agent/bootstrap.py

@@ -0,0 +1,62 @@
+"""Default application wiring for the客服 Agent runtime."""
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from config.database.milvus import client as milvus_client
+from config.database.mysql import get_session_factory
+from config.database.redis import client as redis_client
+from service.customer_agent.config import DatabaseConfigProvider
+from service.customer_agent.runtime import build_anonymous_runtime
+from service.knowledge_base.upload import KnowledgeUploadService
+from rag.embedding import embed_texts
+from rag.milvus_collections import KNOWLEDGE_COLLECTIONS
+from rag.milvus_delete import _escape_filter_value
+from tool.llm import llm as llm_client
+
+
+def build_default_runtime():
+    provider = DatabaseConfigProvider(session_factory=get_session_factory())
+    return build_anonymous_runtime(
+        redis=redis_client(),
+        milvus_client=milvus_client(),
+        llm_client=llm_client,
+        config_getter=provider.get,
+        audit_writer=provider.write_audit,
+    )
+
+
+async def document_exists_in_milvus(milvus, doc_id: str) -> bool:
+    """Check duplicate document IDs across all project knowledge collections."""
+    escaped_doc_id = _escape_filter_value(doc_id)
+    for collection_name in KNOWLEDGE_COLLECTIONS:
+        rows = await milvus.query(
+            collection_name=collection_name,
+            filter=f'doc_id == "{escaped_doc_id}"',
+            output_fields=["doc_id"],
+            limit=1,
+        )
+        if rows:
+            return True
+    return False
+
+
+def build_default_knowledge_upload_service():
+    provider = DatabaseConfigProvider(session_factory=get_session_factory())
+    redis = redis_client()
+    milvus = milvus_client()
+
+    async def publish_event(event_name, payload):
+        await redis.publish(
+            event_name,
+            json.dumps(payload, ensure_ascii=False),
+        )
+
+    return KnowledgeUploadService(
+        storage_dir=Path("data/files"),
+        milvus_client=milvus,
+        embedder=lambda texts: embed_texts(texts, client=llm_client),
+        publisher=publish_event,
+        document_exists=lambda doc_id: document_exists_in_milvus(milvus, doc_id),
+    )