添加删除用户某个知识库、根据知识库进行文本块召回功能
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parent
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commit
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@ -1,8 +1,6 @@
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from abc import ABC, abstractmethod
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from typing import Dict
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import logging
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logger = logging.getLogger(__name__)
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from appPublic.log import debug, error, info, exception
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connection_pathMap = {}
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@ -10,15 +8,15 @@ def connection_register(connection_key, Klass):
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"""为给定的连接键注册一个连接类"""
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global connection_pathMap
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connection_pathMap[connection_key] = Klass
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logger.info(f"Registered {connection_key} with class {Klass}")
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info(f"Registered {connection_key} with class {Klass}")
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def get_connection_class(connection_path):
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"""根据连接路径查找对应的连接类"""
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global connection_pathMap
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logger.debug(f"connection_pathMap: {connection_pathMap}")
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debug(f"connection_pathMap: {connection_pathMap}")
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klass = connection_pathMap.get(connection_path)
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if klass is None:
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logger.error(f"{connection_path} has not mapping to a connection class")
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error(f"{connection_path} has not mapping to a connection class")
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raise Exception(f"{connection_path} has not mapping to a connection class")
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return klass
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@ -74,7 +74,7 @@ data: {
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"query": "苹果公司在北京开设新店",
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"userid": "user1",
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"db_type": "textdb", // 可选,若不提供则使用默认集合 ragdb
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"file_paths": ["/path/to/file.txt"],
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"knowledge_base_ids": ["kb123"],
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"limit": 5,
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"offset": 0,
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"use_rerank": true
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@ -89,15 +89,15 @@ response:
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"metadata": {
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"userid": "user1",
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"document_id": "<uuid>",
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"filename": "test.txt",
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"filename": "file.txt",
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"file_path": "/path/to/file.txt",
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"upload_time": "2025-06-27T15:58:00",
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"upload_time": "<iso_timestamp>",
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"file_type": "txt"
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}
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},
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...
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]
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- Error: HTTP 400, {"status": "error", "message": "<error message>"}
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- Error: HTTP 400, {"status": "error", "message": "<error message>", "collection_name": "<collection_name>"}
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6. Search Query Endpoint:
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path: /v1/searchquery
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@ -107,7 +107,7 @@ data: {
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"query": "知识图谱的知识融合是什么?",
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"userid": "user1",
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"db_type": "textdb", // 可选,若不提供则使用默认集合 ragdb
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"file_paths": ["/path/to/file.txt"],
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"knowledge_base_ids": ["kb123"],
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"limit": 5,
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"offset": 0,
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"use_rerank": true
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@ -122,9 +122,9 @@ response:
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"metadata": {
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"userid": "user1",
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"document_id": "<uuid>",
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"filename": "test.txt",
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"filename": "file.txt",
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"file_path": "/path/to/file.txt",
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"upload_time": "2025-06-27T15:58:00",
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"upload_time": "<iso_timestamp>",
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"file_type": "txt"
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}
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},
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@ -142,10 +142,10 @@ data: {
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response:
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- Success: HTTP 200, [
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{
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"filename": "test.txt",
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"filename": "file.txt",
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"file_path": "/path/to/file.txt",
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"db_type": "textdb",
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"upload_time": "2025-06-27T15:58:00",
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"upload_time": "<iso_timestamp>",
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"file_type": "txt"
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},
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...
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@ -165,11 +165,11 @@ response:
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- Error: HTTP 400, {"status": "error", "message": "<error message>"}
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9. Docs Endpoint:
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path: /v1/docs
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path: /docs
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method: GET
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response: This help text
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10.Delete Knowledge Base Endpoint:
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10. Delete Knowledge Base Endpoint:
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path: /v1/deleteknowledgebase
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method: POST
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headers: {"Content-Type": "application/json"}
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@ -179,10 +179,10 @@ data: {
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"db_type": "textdb" // 可选,若不提供则使用默认集合 ragdb
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}
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response:
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- Success: HTTP 200, {"status": "success", "document_id": "<uuid1,uuid2>", "collection_name": "ragdb" or "ragdb_textdb", "message": "成功删除 <count> 条 Milvus 记录,<nodes> 个 Neo4j 节点,<rels> 个 Neo4j 关系,userid=<userid>, knowledge_base_id=<knowledge_base_id>", "status_code": 200}
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- Success (no records): HTTP 200, {"status": "success", "document_id": "", "collection_name": "ragdb" or "ragdb_textdb", "message": "没有找到 userid=<userid>, knowledge_base_id=<knowledge_base_id> 的记录,无需删除", "status_code": 200}
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- Success (collection missing): HTTP 200, {"status": "success", "document_id": "", "collection_name": "ragdb" or "ragdb_textdb", "message": "集合 <collection_name> 不存在,无需删除", "status_code": 200}
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- Error: HTTP 400, {"status": "error", "document_id": "", "collection_name": "ragdb" or "ragdb_textdb", "message": "<error message>", "status_code": 400}
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- Success: HTTP 200, {"status": "success", "document_id": "<uuid1,uuid2>", "filename": "<filename1,filename2>", "collection_name": "ragdb" or "ragdb_textdb", "message": "成功删除 <count> 条 Milvus 记录,<nodes> 个 Neo4j 节点,<rels> 个 Neo4j 关系,userid=<userid>, knowledge_base_id=<knowledge_base_id>", "status_code": 200}
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- Success (no records): HTTP 200, {"status": "success", "document_id": "", "filename": "", "collection_name": "ragdb" or "ragdb_textdb", "message": "没有找到 userid=<userid>, knowledge_base_id=<knowledge_base_id> 的记录,无需删除", "status_code": 200}
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- Success (collection missing): HTTP 200, {"status": "success", "document_id": "", "filename": "", "collection_name": "ragdb" or "ragdb_textdb", "message": "集合 <collection_name> 不存在,无需删除", "status_code": 200}
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- Error: HTTP 400, {"status": "error", "document_id": "", "filename": "", "collection_name": "ragdb" or "ragdb_textdb", "message": "<error message>", "status_code": 400}
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"""
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def init():
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@ -243,7 +243,6 @@ async def delete_collection(request, params_kw, *params, **kw):
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"message": str(e)
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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async def insert_file(request, params_kw, *params, **kw):
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debug(f'Received params: {params_kw=}')
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se = ServerEnv()
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@ -254,7 +253,6 @@ async def insert_file(request, params_kw, *params, **kw):
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knowledge_base_id = params_kw.get('knowledge_base_id', '')
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collection_name = "ragdb" if not db_type else f"ragdb_{db_type}"
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try:
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# 仅检查必填字段是否存在
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required_fields = ['file_path', 'userid', 'knowledge_base_id']
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missing_fields = [field for field in required_fields if field not in params_kw or not params_kw[field]]
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if missing_fields:
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@ -269,7 +267,6 @@ async def insert_file(request, params_kw, *params, **kw):
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"knowledge_base_id": knowledge_base_id
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})
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debug(f'Insert result: {result=}')
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# 根据 result 的 status 设置 HTTP 状态码
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status = 200 if result.get("status") == "success" else 400
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return web.json_response(result, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=status)
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except Exception as e:
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@ -281,7 +278,6 @@ async def insert_file(request, params_kw, *params, **kw):
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"message": str(e)
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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async def delete_file(request, params_kw, *params, **kw):
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debug(f'Received delete_file params: {params_kw=}')
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se = ServerEnv()
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@ -297,8 +293,7 @@ async def delete_file(request, params_kw, *params, **kw):
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if missing_fields:
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raise ValueError(f"缺少必填字段: {', '.join(missing_fields)}")
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debug(
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f'Calling delete_document with: userid={userid}, filename={filename}, db_type={db_type}, knowledge_base_id={knowledge_base_id}')
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debug(f'Calling delete_document with: userid={userid}, filename={filename}, db_type={db_type}, knowledge_base_id={knowledge_base_id}')
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result = await engine.handle_connection("delete_document", {
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"userid": userid,
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"filename": filename,
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@ -318,7 +313,6 @@ async def delete_file(request, params_kw, *params, **kw):
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"status_code": 400
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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async def delete_knowledge_base(request, params_kw, *params, **kw):
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debug(f'Received delete_knowledge_base params: {params_kw=}')
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se = ServerEnv()
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@ -349,6 +343,7 @@ async def delete_knowledge_base(request, params_kw, *params, **kw):
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"status": "error",
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"collection_name": collection_name,
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"document_id": "",
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"filename": "",
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"message": str(e),
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"status_code": 400
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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@ -360,22 +355,24 @@ async def fused_search_query(request, params_kw, *params, **kw):
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query = params_kw.get('query')
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userid = params_kw.get('userid')
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db_type = params_kw.get('db_type', '')
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file_paths = params_kw.get('file_paths')
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limit = params_kw.get('limit', 5)
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knowledge_base_ids = params_kw.get('knowledge_base_ids')
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limit = params_kw.get('limit')
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offset = params_kw.get('offset', 0)
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use_rerank = params_kw.get('use_rerank', True)
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if not all([query, userid, file_paths]):
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debug(f'query, userid 或 file_paths 未提供')
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return web.json_response({
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"status": "error",
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"message": "query, userid 或 file_paths 未提供"
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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collection_name = "ragdb" if not db_type else f"ragdb_{db_type}"
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try:
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if not all([query, userid, knowledge_base_ids]):
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debug(f'query, userid 或 knowledge_base_ids 未提供')
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return web.json_response({
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"status": "error",
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"message": "query, userid 或 knowledge_base_ids 未提供",
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"collection_name": collection_name
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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result = await engine.handle_connection("fused_search", {
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"query": query,
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"userid": userid,
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"db_type": db_type,
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"file_paths": file_paths,
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"knowledge_base_ids": knowledge_base_ids,
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"limit": limit,
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"offset": offset,
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"use_rerank": use_rerank
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@ -386,7 +383,8 @@ async def fused_search_query(request, params_kw, *params, **kw):
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error(f'融合搜索失败: {str(e)}')
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return web.json_response({
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"status": "error",
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"message": str(e)
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"message": str(e),
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"collection_name": collection_name
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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async def search_query(request, params_kw, *params, **kw):
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@ -396,22 +394,24 @@ async def search_query(request, params_kw, *params, **kw):
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query = params_kw.get('query')
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userid = params_kw.get('userid')
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db_type = params_kw.get('db_type', '')
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file_paths = params_kw.get('file_paths')
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limit = params_kw.get('limit', 5)
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offset = params_kw.get('offset', 0)
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knowledge_base_ids = params_kw.get('knowledge_base_ids')
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limit = params_kw.get('limit')
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offset = params_kw.get('offset')
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use_rerank = params_kw.get('use_rerank', True)
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if not all([query, userid, file_paths]):
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debug(f'query, userid 或 file_paths 未提供')
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return web.json_response({
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"status": "error",
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"message": "query, userid 或 file_paths 未提供"
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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collection_name = "ragdb" if not db_type else f"ragdb_{db_type}"
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try:
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if not all([query, userid, knowledge_base_ids]):
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debug(f'query, userid 或 knowledge_base_ids 未提供')
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return web.json_response({
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"status": "error",
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"message": "query, userid 或 knowledge_base_ids 未提供",
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"collection_name": collection_name
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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result = await engine.handle_connection("search_query", {
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"query": query,
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"userid": userid,
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"db_type": db_type,
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"file_paths": file_paths,
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"knowledge_base_ids": knowledge_base_ids,
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"limit": limit,
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"offset": offset,
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"use_rerank": use_rerank
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@ -422,7 +422,8 @@ async def search_query(request, params_kw, *params, **kw):
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error(f'纯向量搜索失败: {str(e)}')
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return web.json_response({
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"status": "error",
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"message": str(e)
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"message": str(e),
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"collection_name": collection_name
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}, dumps=lambda obj: json.dumps(obj, ensure_ascii=False), status=400)
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async def list_user_files(request, params_kw, *params, **kw):
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@ -133,32 +133,47 @@ class MilvusConnection:
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elif action == "fused_search":
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query = params.get("query", "")
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userid = params.get("userid", "")
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file_paths = params.get("file_paths", [])
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if not query or not userid or not file_paths:
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return {"status": "error", "message": "query、userid 或 file_paths 不能为空",
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"collection_name": collection_name, "document_id": "", "status_code": 400}
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knowledge_base_ids = params.get("knowledge_base_ids", [])
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limit = params.get("limit", 5)
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if not query or not userid or not knowledge_base_ids:
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return {
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"status": "error",
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"message": "query、userid 或 knowledge_base_ids 不能为空",
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"collection_name": "ragdb" if not params.get("db_type","") else f"ragdb_{params.get('db_type')}",
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"document_id": "",
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"status_code": 400
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}
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if limit < 1 or limit > 16384:
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return {
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"status": "error",
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"message": "limit 必须在 1 到 16384 之间",
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"collection_name": "ragdb" if not params.get("db_type","") else f"ragdb_{params.get('db_type')}",
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"document_id": "",
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"status_code": 400
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}
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return await self._fused_search(
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query,
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userid,
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db_type,
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file_paths,
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params.get("limit", 5),
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params.get("db_type", ""),
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knowledge_base_ids,
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limit,
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params.get("offset", 0),
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params.get("use_rerank", True)
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)
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elif action == "search_query":
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query = params.get("query", "")
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userid = params.get("userid", "")
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file_paths = params.get("file_paths", [])
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if not query or not userid or not file_paths:
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return {"status": "error", "message": "query、userid 或 file_paths 不能为空",
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limit = params.get("limit", "")
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knowledge_base_ids = params.get("knowledge_base_ids", [])
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if not query or not userid or not knowledge_base_ids:
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return {"status": "error", "message": "query、userid 或 knowledge_base_ids 不能为空",
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"collection_name": collection_name, "document_id": "", "status_code": 400}
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return await self._search_query(
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query,
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userid,
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db_type,
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file_paths,
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params.get("limit", 5),
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knowledge_base_ids,
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limit,
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params.get("offset", 0),
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params.get("use_rerank", True)
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)
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@ -280,7 +295,7 @@ class MilvusConnection:
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error(f"创建集合失败: {str(e)}")
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return {
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"status": "error",
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"collection_name": collection_name,
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"collection_name":collection_name,
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"message": str(e)
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}
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@ -653,7 +668,6 @@ class MilvusConnection:
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try:
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collection = Collection(collection_name)
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await asyncio.wait_for(collection.load_async(), timeout=10.0)
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debug(f"加载集合: {collection_name}")
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except Exception as e:
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error(f"加载集合 {collection_name} 失败: {str(e)}")
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@ -942,22 +956,22 @@ class MilvusConnection:
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error(f"重排序服务调用失败: {str(e)}\n{exception()}")
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return results
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async def _fused_search(self, query: str, userid: str, db_type: str, file_paths: List[str], limit: int = 5,
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async def _fused_search(self, query: str, userid: str, db_type: str, knowledge_base_ids: List[str], limit: int = 5,
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offset: int = 0, use_rerank: bool = True) -> List[Dict]:
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"""融合搜索,将查询与所有三元组拼接后向量化搜索"""
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collection_name = "ragdb" if not db_type else f"ragdb_{db_type}"
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try:
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info(
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f"开始融合搜索: query={query}, userid={userid}, db_type={db_type}, file_paths={file_paths}, limit={limit}, offset={offset}, use_rerank={use_rerank}")
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f"开始融合搜索: query={query}, userid={userid}, db_type={db_type}, knowledge_base_ids={knowledge_base_ids}, limit={limit}, offset={offset}, use_rerank={use_rerank}")
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if not query or not userid or not file_paths:
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raise ValueError("query、userid 和 file_paths 不能为空")
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if not query or not userid or not knowledge_base_ids:
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raise ValueError("query、userid 和 knowledge_base_ids 不能为空")
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||||
if "_" in userid or (db_type and "_" in db_type):
|
||||
raise ValueError("userid 和 db_type 不能包含下划线")
|
||||
if (db_type and len(db_type) > 100) or len(userid) > 100:
|
||||
raise ValueError("db_type 或 userid 的长度超出限制")
|
||||
if limit < 1 or offset < 0:
|
||||
raise ValueError("limit 必须大于 0,offset 必须大于或等于 0")
|
||||
if limit < 1 or limit > 16384 or offset < 0:
|
||||
raise ValueError("limit 必须在 1 到 16384 之间,offset 必须大于或等于 0")
|
||||
|
||||
if not utility.has_collection(collection_name):
|
||||
debug(f"集合 {collection_name} 不存在")
|
||||
@ -976,24 +990,24 @@ class MilvusConnection:
|
||||
|
||||
documents = []
|
||||
all_triplets = []
|
||||
for file_path in file_paths:
|
||||
filename = os.path.basename(file_path)
|
||||
debug(f"处理文件: {filename}")
|
||||
for kb_id in knowledge_base_ids:
|
||||
debug(f"处理知识库: {kb_id}")
|
||||
|
||||
results = collection.query(
|
||||
expr=f"userid == '{userid}' and filename == '{filename}'",
|
||||
output_fields=["document_id", "filename"],
|
||||
limit=1
|
||||
expr=f"userid == '{userid}' and knowledge_base_id == '{kb_id}'",
|
||||
output_fields=["document_id", "filename", "knowledge_base_id"],
|
||||
limit=100 # 查询足够多的文档以支持后续过滤
|
||||
)
|
||||
if not results:
|
||||
debug(f"未找到 userid {userid} 和 filename {filename} 对应的文档")
|
||||
debug(f"未找到 userid {userid} 和 knowledge_base_id {kb_id} 对应的文档")
|
||||
continue
|
||||
documents.append(results[0])
|
||||
documents.extend(results)
|
||||
|
||||
document_id = results[0]["document_id"]
|
||||
matched_triplets = await self._match_triplets(query, query_entities, userid, document_id)
|
||||
debug(f"文件 {filename} 匹配三元组: {len(matched_triplets)} 条")
|
||||
all_triplets.extend(matched_triplets)
|
||||
for doc in results:
|
||||
document_id = doc["document_id"]
|
||||
matched_triplets = await self._match_triplets(query, query_entities, userid, document_id)
|
||||
debug(f"知识库 {kb_id} 文档 {doc['filename']} 匹配三元组: {len(matched_triplets)} 条")
|
||||
all_triplets.extend(matched_triplets)
|
||||
|
||||
if not documents:
|
||||
debug("未找到任何有效文档")
|
||||
@ -1022,9 +1036,8 @@ class MilvusConnection:
|
||||
|
||||
search_params = {"metric_type": "COSINE", "params": {"nprobe": 10}}
|
||||
|
||||
filenames = [os.path.basename(file_path) for file_path in file_paths]
|
||||
filename_expr = " or ".join([f"filename == '{filename}'" for filename in filenames])
|
||||
expr = f"userid == '{userid}' and ({filename_expr})"
|
||||
kb_expr = " or ".join([f"knowledge_base_id == '{kb_id}'" for kb_id in knowledge_base_ids])
|
||||
expr = f"userid == '{userid}' and ({kb_expr})"
|
||||
debug(f"搜索表达式: {expr}")
|
||||
|
||||
try:
|
||||
@ -1032,7 +1045,7 @@ class MilvusConnection:
|
||||
data=[query_vector],
|
||||
anns_field="vector",
|
||||
param=search_params,
|
||||
limit=limit,
|
||||
limit=100,
|
||||
expr=expr,
|
||||
output_fields=["text", "userid", "document_id", "filename", "file_path", "upload_time",
|
||||
"file_type"],
|
||||
@ -1073,7 +1086,7 @@ class MilvusConnection:
|
||||
|
||||
if use_rerank and unique_results:
|
||||
debug("开始重排序")
|
||||
unique_results = await self._rerank_results(combined_text, unique_results, 5)
|
||||
unique_results = await self._rerank_results(combined_text, unique_results, limit) # 使用传入的 limit
|
||||
unique_results = sorted(unique_results, key=lambda x: x.get('rerank_score', 0), reverse=True)
|
||||
debug(f"重排序分数分布: {[round(r.get('rerank_score', 0), 3) for r in unique_results]}")
|
||||
else:
|
||||
@ -1086,13 +1099,13 @@ class MilvusConnection:
|
||||
error(f"融合搜索失败: {str(e)}\n{exception()}")
|
||||
return []
|
||||
|
||||
async def _search_query(self, query: str, userid: str, db_type: str, file_paths: List[str], limit: int = 5,
|
||||
offset: int = 0, use_rerank: bool = True) -> List[Dict]:
|
||||
"""纯向量搜索,基于查询文本在指定文档中搜索相关文本块"""
|
||||
async def _search_query(self, query: str, userid: str, db_type: str = "", knowledge_base_ids: List[str] = [], limit: int = 5,
|
||||
offset: int = 0, use_rerank: bool = True) -> List[Dict]:
|
||||
"""纯向量搜索,基于查询文本在指定知识库中搜索相关文本块"""
|
||||
collection_name = "ragdb" if not db_type else f"ragdb_{db_type}"
|
||||
try:
|
||||
info(
|
||||
f"开始纯向量搜索: query={query}, userid={userid}, db_type={db_type}, file_paths={file_paths}, limit={limit}, offset={offset}, use_rerank={use_rerank}")
|
||||
f"开始纯向量搜索: query={query}, userid={userid}, db_type={db_type}, knowledge_base_ids={knowledge_base_ids}, limit={limit}, offset={offset}, use_rerank={use_rerank}")
|
||||
|
||||
if not query:
|
||||
raise ValueError("查询文本不能为空")
|
||||
@ -1108,15 +1121,15 @@ class MilvusConnection:
|
||||
raise ValueError("offset 不能为负数")
|
||||
if limit + offset > 16384:
|
||||
raise ValueError("limit + offset 不能超过 16384")
|
||||
if not file_paths:
|
||||
raise ValueError("file_paths 不能为空")
|
||||
for file_path in file_paths:
|
||||
if not isinstance(file_path, str):
|
||||
raise ValueError(f"file_path 必须是字符串: {file_path}")
|
||||
if len(os.path.basename(file_path)) > 255:
|
||||
raise ValueError(f"文件名长度超出 255 个字符: {file_path}")
|
||||
if "_" in os.path.basename(file_path):
|
||||
raise ValueError(f"文件名 {file_path} 不能包含下划线")
|
||||
if not knowledge_base_ids:
|
||||
raise ValueError("knowledge_base_ids 不能为空")
|
||||
for kb_id in knowledge_base_ids:
|
||||
if not isinstance(kb_id, str):
|
||||
raise ValueError(f"knowledge_base_id 必须是字符串: {kb_id}")
|
||||
if len(kb_id) > 100:
|
||||
raise ValueError(f"knowledge_base_id 长度超出 100 个字符: {kb_id}")
|
||||
if "_" in kb_id:
|
||||
raise ValueError(f"knowledge_base_id 不能包含下划线: {kb_id}")
|
||||
|
||||
if not utility.has_collection(collection_name):
|
||||
debug(f"集合 {collection_name} 不存在")
|
||||
@ -1136,9 +1149,8 @@ class MilvusConnection:
|
||||
|
||||
search_params = {"metric_type": "COSINE", "params": {"nprobe": 10}}
|
||||
|
||||
filenames = [os.path.basename(file_path) for file_path in file_paths]
|
||||
filename_expr = " or ".join([f"filename == '{filename}'" for filename in filenames])
|
||||
expr = f"userid == '{userid}' and ({filename_expr})"
|
||||
kb_id_expr = " or ".join([f"knowledge_base_id == '{kb_id}'" for kb_id in knowledge_base_ids])
|
||||
expr = f"userid == '{userid}' and ({kb_id_expr})"
|
||||
debug(f"搜索表达式: {expr}")
|
||||
|
||||
try:
|
||||
@ -1146,7 +1158,7 @@ class MilvusConnection:
|
||||
data=[query_vector],
|
||||
anns_field="vector",
|
||||
param=search_params,
|
||||
limit=limit,
|
||||
limit=100,
|
||||
expr=expr,
|
||||
output_fields=["text", "userid", "document_id", "filename", "file_path", "upload_time",
|
||||
"file_type"],
|
||||
@ -1187,7 +1199,7 @@ class MilvusConnection:
|
||||
|
||||
if use_rerank and unique_results:
|
||||
debug("开始重排序")
|
||||
unique_results = await self._rerank_results(query, unique_results, 5)
|
||||
unique_results = await self._rerank_results(query, unique_results, limit)
|
||||
unique_results = sorted(unique_results, key=lambda x: x.get('rerank_score', 0), reverse=True)
|
||||
debug(f"重排序分数分布: {[round(r.get('rerank_score', 0), 3) for r in unique_results]}")
|
||||
else:
|
||||
|
Loading…
Reference in New Issue
Block a user