ragapi
This commit is contained in:
parent
ea1a9a084f
commit
516edb5b6a
@ -20,463 +20,461 @@ from typing import List, Dict, Any
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import json
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class RagFileMgr(FileMgr):
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async def get_folder_ownerid(self, sor):
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fiid = self.fiid
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recs = await sor.R('kdb', {'id': self.fiid})
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if len(recs) > 0:
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return recs[0].orgid
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return None
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async def get_folder_ownerid(self, sor):
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fiid = self.fiid
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recs = await sor.R('kdb', {'id': self.fiid})
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if len(recs) > 0:
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return recs[0].orgid
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return None
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async def get_organization_quota(self, sor, orgid):
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sql = """select a.* from ragquota a, kdb b
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async def get_organization_quota(self, sor, orgid):
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sql = """select a.* from ragquota a, kdb b
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where a.orgid = b.orgid
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and b.id = ${id}$
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and ${today}$ >= a.enabled_date
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and ${today}$ < a.expired_date
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and b.id = ${id}$
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and ${today}$ >= a.enabled_date
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and ${today}$ < a.expired_date
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"""
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recs = await sor.sqlExe(sql, {
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'id': self.fiid,
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'today': curDateString()
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})
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if len(recs) > 0:
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r = recs[0]
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return r.quota, r.expired_date
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return None, None
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recs = await sor.sqlExe(sql, {
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'id': self.fiid,
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'today': curDateString()
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})
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if len(recs) > 0:
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r = recs[0]
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return r.quota, r.expired_date
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return None, None
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async def get_service_params(self,orgid):
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""" 根据 orgid 从数据库获取服务参数 (仅 upappid)，假设 service_opts 表返回单条记录。 """
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db = DBPools()
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dbname = "kyrag"
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async def get_service_params(self,orgid):
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""" 根据 orgid 从数据库获取服务参数 (仅 upappid)，假设 service_opts 表返回单条记录。 """
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db = DBPools()
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dbname = "kyrag"
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sql_opts = """
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SELECT embedding_id, vdb_id, reranker_id, triples_id, gdb_id, entities_id
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FROM service_opts
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WHERE orgid = ${orgid}$
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"""
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try:
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async with db.sqlorContext(dbname) as sor:
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opts_result = await sor.sqlExe(sql_opts, {"orgid": orgid})
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if not opts_result:
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error(f"未找到 orgid={orgid} 的服务配置")
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return None
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opts = opts_result[0]
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except Exception as e:
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error(f"查询 service_opts 失败: {str(e)}, 堆栈: {traceback.format_exc()}")
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return None
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sql_opts = """
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SELECT embedding_id, vdb_id, reranker_id, triples_id, gdb_id, entities_id
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FROM service_opts
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WHERE orgid = ${orgid}$
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"""
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try:
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async with db.sqlorContext(dbname) as sor:
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opts_result = await sor.sqlExe(sql_opts, {"orgid": orgid})
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if not opts_result:
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error(f"未找到 orgid={orgid} 的服务配置")
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return None
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opts = opts_result[0]
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except Exception as e:
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error(f"查询 service_opts 失败: {str(e)}, 堆栈: {traceback.format_exc()}")
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return None
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# 收集服务 ID
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service_ids = set()
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for key in ['embedding_id', 'vdb_id', 'reranker_id', 'triples_id', 'gdb_id', 'entities_id']:
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if opts[key]:
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service_ids.add(opts[key])
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# 收集服务 ID
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service_ids = set()
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for key in ['embedding_id', 'vdb_id', 'reranker_id', 'triples_id', 'gdb_id', 'entities_id']:
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if opts[key]:
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service_ids.add(opts[key])
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# 检查 service_ids 是否为空
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if not service_ids:
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error(f"未找到任何服务 ID for orgid={orgid}")
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return None
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# 检查 service_ids 是否为空
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if not service_ids:
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error(f"未找到任何服务 ID for orgid={orgid}")
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return None
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# 手动构造 IN 子句的 ID 列表
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id_list = ','.join([f"'{id}'" for id in service_ids]) # 确保每个 ID 被单引号包裹
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sql_services = f"""
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SELECT id, name, upappid
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FROM ragservices
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WHERE id IN ({id_list})
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"""
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try:
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async with db.sqlorContext(dbname) as sor:
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services_result = await sor.sqlExe(sql_services, {})
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if not services_result:
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error(f"未找到服务 ID {service_ids} 的 ragservices 配置")
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return None
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# 手动构造 IN 子句的 ID 列表
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id_list = ','.join([f"'{id}'" for id in service_ids]) # 确保每个 ID 被单引号包裹
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sql_services = f"""
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SELECT id, name, upappid
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FROM ragservices
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WHERE id IN ({id_list})
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"""
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try:
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async with db.sqlorContext(dbname) as sor:
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services_result = await sor.sqlExe(sql_services, {})
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if not services_result:
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error(f"未找到服务 ID {service_ids} 的 ragservices 配置")
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return None
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# 构建服务参数字典，基于 name 字段匹配，仅存储 upappid
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service_params = {
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'embedding': None,
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'vdb': None,
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'reranker': None,
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'triples': None,
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'gdb': None,
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'entities': None
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}
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for service in services_result:
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name = service['name']
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if name == 'bgem3嵌入':
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service_params['embedding'] = service['upappid']
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elif name == 'milvus向量检索':
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service_params['vdb'] = service['upappid']
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elif name == 'bgem2v3重排':
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service_params['reranker'] = service['upappid']
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elif name == 'mrebel三元组抽取':
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service_params['triples'] = service['upappid']
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elif name == 'neo4j删除知识库':
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service_params['gdb'] = service['upappid']
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elif name == 'small实体抽取':
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service_params['entities'] = service['upappid']
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# 构建服务参数字典，基于 name 字段匹配，仅存储 upappid
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service_params = {
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'embedding': None,
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'vdb': None,
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'reranker': None,
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'triples': None,
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'gdb': None,
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'entities': None
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}
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for service in services_result:
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name = service['name']
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if name == 'bgem3嵌入':
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service_params['embedding'] = service['upappid']
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elif name == 'milvus向量检索':
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service_params['vdb'] = service['upappid']
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elif name == 'bgem2v3重排':
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service_params['reranker'] = service['upappid']
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elif name == 'mrebel三元组抽取':
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service_params['triples'] = service['upappid']
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elif name == 'neo4j删除知识库':
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service_params['gdb'] = service['upappid']
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elif name == 'small实体抽取':
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service_params['entities'] = service['upappid']
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# 检查是否所有服务参数都已填充
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missing_services = [k for k, v in service_params.items() if v is None]
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if missing_services:
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error(f"未找到以下服务的配置: {missing_services}")
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return None
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# 检查是否所有服务参数都已填充
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missing_services = [k for k, v in service_params.items() if v is None]
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if missing_services:
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error(f"未找到以下服务的配置: {missing_services}")
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return None
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return service_params
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except Exception as e:
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error(f"查询 ragservices 失败: {str(e)}, 堆栈: {traceback.format_exc()}")
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return None
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return service_params
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except Exception as e:
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error(f"查询 ragservices 失败: {str(e)}, 堆栈: {traceback.format_exc()}")
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return None
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async def file_uploaded(self, request, ns, userid):
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"""将文档插入 Milvus 并抽取三元组到 Neo4j"""
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debug(f'Received ns: {ns=}')
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realpath = ns.get('realpath', '')
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fiid = ns.get('fiid', '')
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id = ns.get('id', '')
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orgid = ns.get('ownerid', '')
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hashvalue = ns.get('hashvalue', '')
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db_type = ''
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async def file_uploaded(self, request, ns, userid):
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"""将文档插入 Milvus 并抽取三元组到 Neo4j"""
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debug(f'Received ns: {ns=}')
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realpath = ns.get('realpath', '')
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fiid = ns.get('fiid', '')
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id = ns.get('id', '')
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orgid = ns.get('ownerid', '')
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hashvalue = ns.get('hashvalue', '')
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db_type = ''
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api_service = APIService()
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debug(
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f'Inserting document: file_path={realpath}, userid={orgid}, db_type={db_type}, knowledge_base_id={fiid}, document_id={id}')
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api_service = APIService()
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debug(
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f'Inserting document: file_path={realpath}, userid={orgid}, db_type={db_type}, knowledge_base_id={fiid}, document_id={id}')
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timings = {}
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start_total = time.time()
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timings = {}
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start_total = time.time()
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try:
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if not orgid or not fiid or not id:
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raise ValueError("orgid、fiid 和 id 不能为空")
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if len(orgid) > 32 or len(fiid) > 255:
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raise ValueError("orgid 或 fiid 的长度超出限制")
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if not os.path.exists(realpath):
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raise ValueError(f"文件 {realpath} 不存在")
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try:
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if not orgid or not fiid or not id:
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raise ValueError("orgid、fiid 和 id 不能为空")
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if len(orgid) > 32 or len(fiid) > 255:
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raise ValueError("orgid 或 fiid 的长度超出限制")
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if not os.path.exists(realpath):
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raise ValueError(f"文件 {realpath} 不存在")
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# 检查 hashvalue 是否已存在
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db = DBPools()
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dbname = "kyrag"
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sql_check_hash = """
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SELECT hashvalue
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FROM file
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WHERE hashvalue = ${hashvalue}$
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"""
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async with db.sqlorContext(dbname) as sor:
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hash_result = await sor.sqlExe(sql_check_hash, {"hashvalue": hashvalue})
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if hash_result:
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debug(f"文件已存在: hashvalue={hashvalue}")
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timings["total"] = time.time() - start_total
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return {
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"status": "error",
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"document_id": id,
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"collection_name": "ragdb",
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"timings": timings,
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"message": f"文件已存在: hashvalue={hashvalue}",
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"status_code": 400
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}
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# 检查 hashvalue 是否已存在
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db = DBPools()
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dbname = "kyrag"
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sql_check_hash = """
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SELECT hashvalue
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FROM file
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WHERE hashvalue = ${hashvalue}$
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"""
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async with db.sqlorContext(dbname) as sor:
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hash_result = await sor.sqlExe(sql_check_hash, {"hashvalue": hashvalue})
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if hash_result:
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debug(f"文件已存在: hashvalue={hashvalue}")
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timings["total"] = time.time() - start_total
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return {
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"status": "error",
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"document_id": id,
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"collection_name": "ragdb",
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"timings": timings,
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"message": f"文件已存在: hashvalue={hashvalue}",
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"status_code": 400
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}
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# 获取服务参数
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service_params = await self.get_service_params(orgid)
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if not service_params:
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raise ValueError("无法获取服务参数")
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# 获取服务参数
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service_params = await self.get_service_params(orgid)
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if not service_params:
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raise ValueError("无法获取服务参数")
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supported_formats = {'pdf', 'docx', 'xlsx', 'pptx', 'csv', 'txt'}
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ext = realpath.rsplit('.', 1)[1].lower() if '.' in realpath else ''
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if ext not in supported_formats:
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raise ValueError(f"不支持的文件格式: {ext}, 支持的格式: {', '.join(supported_formats)}")
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supported_formats = {'pdf', 'docx', 'xlsx', 'pptx', 'csv', 'txt'}
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ext = realpath.rsplit('.', 1)[1].lower() if '.' in realpath else ''
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if ext not in supported_formats:
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raise ValueError(f"不支持的文件格式: {ext}, 支持的格式: {', '.join(supported_formats)}")
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debug(f"加载文件: {realpath}")
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start_load = time.time()
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text = fileloader(realpath)
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# debug(f"处理后的文件内容是：{text=}")
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text = re.sub(r'[^\u4e00-\u9fa5a-zA-Z0-9\s.;,\n]', '', text)
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timings["load_file"] = time.time() - start_load
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debug(f"加载文件耗时: {timings['load_file']:.2f} 秒, 文本长度: {len(text)}")
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if not text or not text.strip():
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raise ValueError(f"文件 {realpath} 加载为空")
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debug(f"加载文件: {realpath}")
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start_load = time.time()
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text = fileloader(realpath)
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# debug(f"处理后的文件内容是：{text=}")
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text = re.sub(r'[^\u4e00-\u9fa5a-zA-Z0-9\s.;,\n/]', '', text)
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timings["load_file"] = time.time() - start_load
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debug(f"加载文件耗时: {timings['load_file']:.2f} 秒, 文本长度: {len(text)}")
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if not text or not text.strip():
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raise ValueError(f"文件 {realpath} 加载为空")
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document = Document(page_content=text)
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text_splitter = RecursiveCharacterTextSplitter(
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chunk_size=500,
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chunk_overlap=100,
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length_function=len)
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debug("开始分片文件内容")
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start_split = time.time()
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chunks = text_splitter.split_documents([document])
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timings["split_text"] = time.time() - start_split
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debug(
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f"文本分片耗时: {timings['split_text']:.2f} 秒, 分片数量: {len(chunks)}, 分片内容: {[chunk.page_content[:50] for chunk in chunks[:5]]}")
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if not chunks:
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raise ValueError(f"文件 {realpath} 未生成任何文档块")
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document = Document(page_content=text)
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text_splitter = RecursiveCharacterTextSplitter(
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chunk_size=500,
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chunk_overlap=100,
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length_function=len)
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debug("开始分片文件内容")
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start_split = time.time()
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chunks = text_splitter.split_documents([document])
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timings["split_text"] = time.time() - start_split
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debug(
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f"文本分片耗时: {timings['split_text']:.2f} 秒, 分片数量: {len(chunks)}, 分片内容: {[chunk.page_content[:50] for chunk in chunks[:5]]}")
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debug(f"分片内容: {[chunk.page_content[:100] + '...' for chunk in chunks]}")
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if not chunks:
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raise ValueError(f"文件 {realpath} 未生成任何文档块")
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filename = os.path.basename(realpath).rsplit('.', 1)[0]
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upload_time = datetime.now().isoformat()
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filename = os.path.basename(realpath).rsplit('.', 1)[0]
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upload_time = datetime.now().isoformat()
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debug("调用嵌入服务生成向量")
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start_embedding = time.time()
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texts = [chunk.page_content for chunk in chunks]
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embeddings = []
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for i in range(0, len(texts), 10): # 每次处理 10 个文本块
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batch_texts = texts[i:i + 10]
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batch_embeddings = await api_service.get_embeddings(
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request=request,
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texts=batch_texts,
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upappid=service_params['embedding'],
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apiname="BAAI/bge-m3",
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user=userid
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)
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embeddings.extend(batch_embeddings)
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if not embeddings or not all(len(vec) == 1024 for vec in embeddings):
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raise ValueError("所有嵌入向量必须是长度为 1024 的浮点数列表")
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timings["generate_embeddings"] = time.time() - start_embedding
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debug(f"生成嵌入向量耗时: {timings['generate_embeddings']:.2f} 秒, 嵌入数量: {len(embeddings)}")
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debug("调用嵌入服务生成向量")
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start_embedding = time.time()
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texts = [chunk.page_content for chunk in chunks]
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embeddings = []
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for i in range(0, len(texts), 10): # 每次处理 10 个文本块
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batch_texts = texts[i:i + 10]
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batch_embeddings = await api_service.get_embeddings(
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request=request,
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texts=batch_texts,
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upappid=service_params['embedding'],
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apiname="BAAI/bge-m3",
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user=userid
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)
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embeddings.extend(batch_embeddings)
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if not embeddings or not all(len(vec) == 1024 for vec in embeddings):
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raise ValueError("所有嵌入向量必须是长度为 1024 的浮点数列表")
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timings["generate_embeddings"] = time.time() - start_embedding
|
||||
debug(f"生成嵌入向量耗时: {timings['generate_embeddings']:.2f} 秒, 嵌入数量: {len(embeddings)}")
|
||||
|
||||
chunks_data = []
|
||||
for i, chunk in enumerate(chunks):
|
||||
chunks_data.append({
|
||||
"userid": orgid,
|
||||
"knowledge_base_id": fiid,
|
||||
"text": chunk.page_content,
|
||||
"vector": embeddings[i],
|
||||
"document_id": id,
|
||||
"filename": filename + '.' + ext,
|
||||
"file_path": realpath,
|
||||
"upload_time": upload_time,
|
||||
"file_type": ext,
|
||||
})
|
||||
chunks_data = []
|
||||
for i, chunk in enumerate(chunks):
|
||||
chunks_data.append({
|
||||
"userid": orgid,
|
||||
"knowledge_base_id": fiid,
|
||||
"text": chunk.page_content,
|
||||
"vector": embeddings[i],
|
||||
"document_id": id,
|
||||
"filename": filename + '.' + ext,
|
||||
"file_path": realpath,
|
||||
"upload_time": upload_time,
|
||||
"file_type": ext,
|
||||
})
|
||||
|
||||
debug(f"调用插入文件端点: {realpath}")
|
||||
start_milvus = time.time()
|
||||
for i in range(0, len(chunks_data), 10): # 每次处理 10 条数据
|
||||
batch_chunks = chunks_data[i:i + 10]
|
||||
result = await api_service.milvus_insert_document(
|
||||
request=request,
|
||||
chunks=batch_chunks,
|
||||
db_type=db_type,
|
||||
upappid=service_params['vdb'],
|
||||
apiname="milvus/insertdocument",
|
||||
user=userid
|
||||
)
|
||||
if result.get("status") != "success":
|
||||
raise ValueError(result.get("message", "Milvus 插入失败"))
|
||||
timings["insert_milvus"] = time.time() - start_milvus
|
||||
debug(f"Milvus 插入耗时: {timings['insert_milvus']:.2f} 秒")
|
||||
debug(f"调用插入文件端点: {realpath}")
|
||||
start_milvus = time.time()
|
||||
for i in range(0, len(chunks_data), 10): # 每次处理 10 条数据
|
||||
batch_chunks = chunks_data[i:i + 10]
|
||||
result = await api_service.milvus_insert_document(
|
||||
request=request,
|
||||
chunks=batch_chunks,
|
||||
db_type=db_type,
|
||||
upappid=service_params['vdb'],
|
||||
apiname="milvus/insertdocument",
|
||||
user=userid
|
||||
)
|
||||
if result.get("status") != "success":
|
||||
raise ValueError(result.get("message", "Milvus 插入失败"))
|
||||
timings["insert_milvus"] = time.time() - start_milvus
|
||||
debug(f"Milvus 插入耗时: {timings['insert_milvus']:.2f} 秒")
|
||||
|
||||
if result.get("status") != "success":
|
||||
timings["total"] = time.time() - start_total
|
||||
return {"status": "error", "document_id": id, "timings": timings,
|
||||
"message": result.get("message", "未知错误"), "status_code": 400}
|
||||
if result.get("status") != "success":
|
||||
timings["total"] = time.time() - start_total
|
||||
return {"status": "error", "document_id": id, "timings": timings,
|
||||
"message": result.get("message", "未知错误"), "status_code": 400}
|
||||
|
||||
debug("调用三元组抽取服务")
|
||||
start_triples = time.time()
|
||||
unique_triples = []
|
||||
try:
|
||||
chunk_texts = [doc.page_content for doc in chunks]
|
||||
debug(f"处理 {len(chunk_texts)} 个分片进行三元组抽取")
|
||||
tasks = [
|
||||
api_service.extract_triples(
|
||||
request=request,
|
||||
text=chunk,
|
||||
upappid=service_params['triples'],
|
||||
apiname="Babelscape/mrebel-large",
|
||||
user=userid
|
||||
) for chunk in chunk_texts
|
||||
]
|
||||
results = await asyncio.gather(*tasks, return_exceptions=True)
|
||||
triples = []
|
||||
for i, result in enumerate(results):
|
||||
if isinstance(result, list):
|
||||
triples.extend(result)
|
||||
debug(f"分片 {i + 1} 抽取到 {len(result)} 个三元组: {result[:5]}")
|
||||
else:
|
||||
error(f"分片 {i + 1} 处理失败: {str(result)}")
|
||||
debug("调用三元组抽取服务")
|
||||
start_triples = time.time()
|
||||
unique_triples = []
|
||||
try:
|
||||
chunk_texts = [doc.page_content for doc in chunks]
|
||||
debug(f"处理 {len(chunk_texts)} 个分片进行三元组抽取")
|
||||
triples = []
|
||||
for i, chunk in enumerate(chunk_texts):
|
||||
result = await api_service.extract_triples(
|
||||
request=request,
|
||||
text=chunk,
|
||||
upappid=service_params['triples'],
|
||||
apiname="Babelscape/mrebel-large",
|
||||
user=userid
|
||||
)
|
||||
if isinstance(result, list):
|
||||
triples.extend(result)
|
||||
debug(f"分片 {i + 1} 抽取到 {len(result)} 个三元组: {result[:5]}")
|
||||
else:
|
||||
error(f"分片 {i + 1} 处理失败: {str(result)}")
|
||||
|
||||
seen = set()
|
||||
for t in triples:
|
||||
identifier = (t['head'].lower(), t['tail'].lower(), t['type'].lower())
|
||||
if identifier not in seen:
|
||||
seen.add(identifier)
|
||||
unique_triples.append(t)
|
||||
else:
|
||||
for existing in unique_triples:
|
||||
if (existing['head'].lower() == t['head'].lower() and
|
||||
existing['tail'].lower() == t['tail'].lower() and
|
||||
len(t['type']) > len(existing['type'])):
|
||||
unique_triples.remove(existing)
|
||||
unique_triples.append(t)
|
||||
debug(f"替换三元组为更具体类型: {t}")
|
||||
break
|
||||
seen = set()
|
||||
for t in triples:
|
||||
identifier = (t['head'].lower(), t['tail'].lower(), t['type'].lower())
|
||||
if identifier not in seen:
|
||||
seen.add(identifier)
|
||||
unique_triples.append(t)
|
||||
else:
|
||||
for existing in unique_triples:
|
||||
if (existing['head'].lower() == t['head'].lower() and
|
||||
existing['tail'].lower() == t['tail'].lower() and
|
||||
len(t['type']) > len(existing['type'])):
|
||||
unique_triples.remove(existing)
|
||||
unique_triples.append(t)
|
||||
debug(f"替换三元组为更具体类型: {t}")
|
||||
break
|
||||
|
||||
timings["extract_triples"] = time.time() - start_triples
|
||||
debug(
|
||||
f"三元组抽取耗时: {timings['extract_triples']:.2f} 秒, 抽取到 {len(unique_triples)} 个三元组: {unique_triples[:5]}")
|
||||
timings["extract_triples"] = time.time() - start_triples
|
||||
debug(
|
||||
f"三元组抽取耗时: {timings['extract_triples']:.2f} 秒, 抽取到 {len(unique_triples)} 个三元组: {unique_triples[:5]}")
|
||||
|
||||
if unique_triples:
|
||||
debug(f"抽取到 {len(unique_triples)} 个三元组，调用 Neo4j 服务插入")
|
||||
start_neo4j = time.time()
|
||||
for i in range(0, len(unique_triples), 30): # 每次插入 30 个三元组
|
||||
batch_triples = unique_triples[i:i + 30]
|
||||
neo4j_result = await api_service.neo4j_insert_triples(
|
||||
request=request,
|
||||
triples=batch_triples,
|
||||
document_id=id,
|
||||
knowledge_base_id=fiid,
|
||||
userid=orgid,
|
||||
upappid=service_params['gdb'],
|
||||
apiname="neo4j/inserttriples",
|
||||
user=userid
|
||||
)
|
||||
debug(f"Neo4j 服务响应: {neo4j_result}")
|
||||
if neo4j_result.get("status") != "success":
|
||||
timings["insert_neo4j"] = time.time() - start_neo4j
|
||||
timings["total"] = time.time() - start_total
|
||||
return {
|
||||
"status": "error",
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"message": f"Neo4j 三元组插入失败: {neo4j_result.get('message', '未知错误')}",
|
||||
"status_code": 400
|
||||
}
|
||||
info(f"文件 {realpath} 三元组成功插入 Neo4j: {neo4j_result.get('message')}")
|
||||
timings["insert_neo4j"] = time.time() - start_neo4j
|
||||
debug(f"Neo4j 插入耗时: {timings['insert_neo4j']:.2f} 秒")
|
||||
else:
|
||||
debug(f"文件 {realpath} 未抽取到三元组")
|
||||
timings["insert_neo4j"] = 0.0
|
||||
if unique_triples:
|
||||
debug(f"抽取到 {len(unique_triples)} 个三元组，调用 Neo4j 服务插入")
|
||||
start_neo4j = time.time()
|
||||
for i in range(0, len(unique_triples), 30): # 每次插入 30 个三元组
|
||||
batch_triples = unique_triples[i:i + 30]
|
||||
neo4j_result = await api_service.neo4j_insert_triples(
|
||||
request=request,
|
||||
triples=batch_triples,
|
||||
document_id=id,
|
||||
knowledge_base_id=fiid,
|
||||
userid=orgid,
|
||||
upappid=service_params['gdb'],
|
||||
apiname="neo4j/inserttriples",
|
||||
user=userid
|
||||
)
|
||||
debug(f"Neo4j 服务响应: {neo4j_result}")
|
||||
if neo4j_result.get("status") != "success":
|
||||
timings["insert_neo4j"] = time.time() - start_neo4j
|
||||
timings["total"] = time.time() - start_total
|
||||
return {
|
||||
"status": "error",
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"message": f"Neo4j 三元组插入失败: {neo4j_result.get('message', '未知错误')}",
|
||||
"status_code": 400
|
||||
}
|
||||
info(f"文件 {realpath} 三元组成功插入 Neo4j: {neo4j_result.get('message')}")
|
||||
timings["insert_neo4j"] = time.time() - start_neo4j
|
||||
debug(f"Neo4j 插入耗时: {timings['insert_neo4j']:.2f} 秒")
|
||||
else:
|
||||
debug(f"文件 {realpath} 未抽取到三元组")
|
||||
timings["insert_neo4j"] = 0.0
|
||||
|
||||
except Exception as e:
|
||||
timings["extract_triples"] = time.time() - start_triples if "extract_triples" not in timings else \
|
||||
timings["extract_triples"]
|
||||
timings["insert_neo4j"] = time.time() - start_neo4j if "insert_neo4j" not in timings else timings[
|
||||
"insert_neo4j"]
|
||||
debug(f"处理三元组或 Neo4j 插入失败: {str(e)}, 堆栈: {traceback.format_exc()}")
|
||||
timings["total"] = time.time() - start_total
|
||||
return {
|
||||
"status": "success",
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"unique_triples": unique_triples,
|
||||
"message": f"文件 {realpath} 成功嵌入，但三元组处理或 Neo4j 插入失败: {str(e)}",
|
||||
"status_code": 200
|
||||
}
|
||||
except Exception as e:
|
||||
timings["extract_triples"] = time.time() - start_triples if "extract_triples" not in timings else \
|
||||
timings["extract_triples"]
|
||||
timings["insert_neo4j"] = time.time() - start_neo4j if "insert_neo4j" not in timings else timings[
|
||||
"insert_neo4j"]
|
||||
debug(f"处理三元组或 Neo4j 插入失败: {str(e)}, 堆栈: {traceback.format_exc()}")
|
||||
timings["total"] = time.time() - start_total
|
||||
return {
|
||||
"status": "success",
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"unique_triples": unique_triples,
|
||||
"message": f"文件 {realpath} 成功嵌入，但三元组处理或 Neo4j 插入失败: {str(e)}",
|
||||
"status_code": 200
|
||||
}
|
||||
|
||||
timings["total"] = time.time() - start_total
|
||||
debug(f"总耗时: {timings['total']:.2f} 秒")
|
||||
return {
|
||||
"status": "success",
|
||||
"userid": orgid,
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"unique_triples": unique_triples,
|
||||
"message": f"文件 {realpath} 成功嵌入并处理三元组",
|
||||
"status_code": 200
|
||||
}
|
||||
timings["total"] = time.time() - start_total
|
||||
debug(f"总耗时: {timings['total']:.2f} 秒")
|
||||
return {
|
||||
"status": "success",
|
||||
"userid": orgid,
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"unique_triples": unique_triples,
|
||||
"message": f"文件 {realpath} 成功嵌入并处理三元组",
|
||||
"status_code": 200
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
error(f"插入文档失败: {str(e)}, 堆栈: {traceback.format_exc()}")
|
||||
timings["total"] = time.time() - start_total
|
||||
return {
|
||||
"status": "error",
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"message": f"插入文档失败: {str(e)}",
|
||||
"status_code": 400
|
||||
}
|
||||
except Exception as e:
|
||||
error(f"插入文档失败: {str(e)}, 堆栈: {traceback.format_exc()}")
|
||||
timings["total"] = time.time() - start_total
|
||||
return {
|
||||
"status": "error",
|
||||
"document_id": id,
|
||||
"collection_name": "ragdb",
|
||||
"timings": timings,
|
||||
"message": f"插入文档失败: {str(e)}",
|
||||
"status_code": 400
|
||||
}
|
||||
|
||||
async def file_deleted(self, request, recs, userid):
|
||||
"""删除用户指定文件数据，包括 Milvus 和 Neo4j 中的记录"""
|
||||
if not isinstance(recs, list):
|
||||
recs = [recs] # 确保 recs 是列表，即使传入单个记录
|
||||
results = []
|
||||
api_service = APIService()
|
||||
total_nodes_deleted = 0
|
||||
total_rels_deleted = 0
|
||||
async def file_deleted(self, request, recs, userid):
|
||||
"""删除用户指定文件数据，包括 Milvus 和 Neo4j 中的记录"""
|
||||
if not isinstance(recs, list):
|
||||
recs = [recs] # 确保 recs 是列表，即使传入单个记录
|
||||
results = []
|
||||
api_service = APIService()
|
||||
total_nodes_deleted = 0
|
||||
total_rels_deleted = 0
|
||||
|
||||
for rec in recs:
|
||||
id = rec.get('id', '')
|
||||
realpath = rec.get('realpath', '')
|
||||
fiid = rec.get('fiid', '')
|
||||
orgid = rec.get('ownerid', '')
|
||||
db_type = ''
|
||||
collection_name = "ragdb" if not db_type else f"ragdb_{db_type}"
|
||||
for rec in recs:
|
||||
id = rec.get('id', '')
|
||||
realpath = rec.get('realpath', '')
|
||||
fiid = rec.get('fiid', '')
|
||||
orgid = rec.get('ownerid', '')
|
||||
db_type = ''
|
||||
collection_name = "ragdb" if not db_type else f"ragdb_{db_type}"
|
||||
|
||||
try:
|
||||
required_fields = ['id', 'realpath', 'fiid', 'ownerid']
|
||||
missing_fields = [field for field in required_fields if not rec.get(field, '')]
|
||||
if missing_fields:
|
||||
raise ValueError(f"缺少必填字段: {', '.join(missing_fields)}")
|
||||
try:
|
||||
required_fields = ['id', 'realpath', 'fiid', 'ownerid']
|
||||
missing_fields = [field for field in required_fields if not rec.get(field, '')]
|
||||
if missing_fields:
|
||||
raise ValueError(f"缺少必填字段: {', '.join(missing_fields)}")
|
||||
|
||||
# 获取服务参数
|
||||
service_params = await self.get_service_params(orgid)
|
||||
if not service_params:
|
||||
raise ValueError("无法获取服务参数")
|
||||
# 获取服务参数
|
||||
service_params = await self.get_service_params(orgid)
|
||||
if not service_params:
|
||||
raise ValueError("无法获取服务参数")
|
||||
|
||||
debug(
|
||||
f"调用删除文件端点: userid={orgid}, file_path={realpath}, knowledge_base_id={fiid}, document_id={id}")
|
||||
milvus_result = await api_service.milvus_delete_document(
|
||||
request=request,
|
||||
userid=orgid,
|
||||
file_path=realpath,
|
||||
knowledge_base_id=fiid,
|
||||
document_id=id,
|
||||
db_type=db_type,
|
||||
upappid=service_params['vdb'],
|
||||
apiname="milvus/deletedocument",
|
||||
user=userid
|
||||
)
|
||||
debug(
|
||||
f"调用删除文件端点: userid={orgid}, file_path={realpath}, knowledge_base_id={fiid}, document_id={id}")
|
||||
milvus_result = await api_service.milvus_delete_document(
|
||||
request=request,
|
||||
userid=orgid,
|
||||
file_path=realpath,
|
||||
knowledge_base_id=fiid,
|
||||
document_id=id,
|
||||
db_type=db_type,
|
||||
upappid=service_params['vdb'],
|
||||
apiname="milvus/deletedocument",
|
||||
user=userid
|
||||
)
|
||||
|
||||
if milvus_result.get("status") != "success":
|
||||
raise ValueError(milvus_result.get("message", "Milvus 删除失败"))
|
||||
if milvus_result.get("status") != "success":
|
||||
raise ValueError(milvus_result.get("message", "Milvus 删除失败"))
|
||||
|
||||
neo4j_deleted_nodes = 0
|
||||
neo4j_deleted_rels = 0
|
||||
try:
|
||||
debug(f"调用 Neo4j 删除文档端点: document_id={id}")
|
||||
neo4j_result = await api_service.neo4j_delete_document(
|
||||
request=request,
|
||||
document_id=id,
|
||||
upappid=service_params['gdb'],
|
||||
apiname="neo4j/deletedocument",
|
||||
user=userid
|
||||
)
|
||||
if neo4j_result.get("status") != "success":
|
||||
raise ValueError(neo4j_result.get("message", "Neo4j 删除失败"))
|
||||
nodes_deleted = neo4j_result.get("nodes_deleted", 0)
|
||||
rels_deleted = neo4j_result.get("rels_deleted", 0)
|
||||
neo4j_deleted_nodes += nodes_deleted
|
||||
neo4j_deleted_rels += rels_deleted
|
||||
total_nodes_deleted += nodes_deleted
|
||||
total_rels_deleted += rels_deleted
|
||||
info(f"成功删除 document_id={id} 的 {nodes_deleted} 个 Neo4j 节点和 {rels_deleted} 个关系")
|
||||
except Exception as e:
|
||||
error(f"删除 document_id={id} 的 Neo4j 数据失败: {str(e)}")
|
||||
neo4j_deleted_nodes = 0
|
||||
neo4j_deleted_rels = 0
|
||||
try:
|
||||
debug(f"调用 Neo4j 删除文档端点: document_id={id}")
|
||||
neo4j_result = await api_service.neo4j_delete_document(
|
||||
request=request,
|
||||
document_id=id,
|
||||
upappid=service_params['gdb'],
|
||||
apiname="neo4j/deletedocument",
|
||||
user=userid
|
||||
)
|
||||
if neo4j_result.get("status") != "success":
|
||||
raise ValueError(neo4j_result.get("message", "Neo4j 删除失败"))
|
||||
nodes_deleted = neo4j_result.get("nodes_deleted", 0)
|
||||
rels_deleted = neo4j_result.get("rels_deleted", 0)
|
||||
neo4j_deleted_nodes += nodes_deleted
|
||||
neo4j_deleted_rels += rels_deleted
|
||||
total_nodes_deleted += nodes_deleted
|
||||
total_rels_deleted += rels_deleted
|
||||
info(f"成功删除 document_id={id} 的 {nodes_deleted} 个 Neo4j 节点和 {rels_deleted} 个关系")
|
||||
except Exception as e:
|
||||
error(f"删除 document_id={id} 的 Neo4j 数据失败: {str(e)}")
|
||||
|
||||
results.append({
|
||||
"status": "success",
|
||||
"collection_name": collection_name,
|
||||
"document_id": id,
|
||||
"message": f"成功删除文件 {realpath} 的 Milvus 记录，{neo4j_deleted_nodes} 个 Neo4j 节点，{neo4j_deleted_rels} 个 Neo4j 关系",
|
||||
"status_code": 200
|
||||
})
|
||||
results.append({
|
||||
"status": "success",
|
||||
"collection_name": collection_name,
|
||||
"document_id": id,
|
||||
"message": f"成功删除文件 {realpath} 的 Milvus 记录，{neo4j_deleted_nodes} 个 Neo4j 节点，{neo4j_deleted_rels} 个 Neo4j 关系",
|
||||
"status_code": 200
|
||||
})
|
||||
|
||||
except Exception as e:
|
||||
error(f"删除文档 {realpath} 失败: {str(e)}, 堆栈: {traceback.format_exc()}")
|
||||
results.append({
|
||||
"status": "error",
|
||||
"collection_name": collection_name,
|
||||
"document_id": id,
|
||||
"message": f"删除文档 {realpath} 失败: {str(e)}",
|
||||
"status_code": 400
|
||||
})
|
||||
except Exception as e:
|
||||
error(f"删除文档 {realpath} 失败: {str(e)}, 堆栈: {traceback.format_exc()}")
|
||||
results.append({
|
||||
"status": "error",
|
||||
"collection_name": collection_name,
|
||||
"document_id": id,
|
||||
"message": f"删除文档 {realpath} 失败: {str(e)}",
|
||||
"status_code": 400
|
||||
})
|
||||
|
||||
return {
|
||||
"status": "success" if all(r["status"] == "success" for r in results) else "partial",
|
||||
"results": results,
|
||||
"total_nodes_deleted": total_nodes_deleted,
|
||||
"total_rels_deleted": total_rels_deleted,
|
||||
"message": f"处理 {len(recs)} 个文件，成功删除 {sum(1 for r in results if r['status'] == 'success')} 个",
|
||||
"status_code": 200 if all(r["status"] == "success" for r in results) else 207
|
||||
}
|
||||
return {
|
||||
"status": "success" if all(r["status"] == "success" for r in results) else "partial",
|
||||
"results": results,
|
||||
"total_nodes_deleted": total_nodes_deleted,
|
||||
"total_rels_deleted": total_rels_deleted,
|
||||
"message": f"处理 {len(recs)} 个文件，成功删除 {sum(1 for r in results if r['status'] == 'success')} 个",
|
||||
"status_code": 200 if all(r["status"] == "success" for r in results) else 207
|
||||
}
|
||||
|
||||
async def test_ragfilemgr():
|
||||
"""测试 RagFileMgr 类的 get_service_params"""
|
||||
@ -505,11 +503,4 @@ async def test_ragfilemgr():
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(test_ragfilemgr())
|
||||
|
||||
|
||||
## usage
|
||||
# mgr = RagFileMgr(fiid)
|
||||
# await mgr.add_file(request, params_kw)
|
||||
# await mgr.delete_file(request, file_id)
|
||||
##
|
||||
asyncio.run(test_ragfilemgr())
|
||||
@ -5,6 +5,7 @@ from appPublic.log import debug, error, info
|
||||
import time
|
||||
import traceback
|
||||
import json
|
||||
import math
|
||||
|
||||
helptext = """kyrag API:
|
||||
|
||||
@ -81,11 +82,44 @@ async def fusedsearch(request, params_kw, *params, **kw):
|
||||
# orgid = "04J6VbxLqB_9RPMcgOv_8"
|
||||
# userid = "04J6VbxLqB_9RPMcgOv_8"
|
||||
query = params_kw.get('query', '')
|
||||
fiids = params_kw.get('fiids', [])
|
||||
limit = int(params_kw.get('limit', 5))
|
||||
# 统一模式处理 limit 参数
|
||||
raw_limit = params_kw.get('limit') or (
|
||||
params_kw.get('retrieval_setting', {}).get('top_k')
|
||||
if isinstance(params_kw.get('retrieval_setting'), dict)
|
||||
else None
|
||||
)
|
||||
|
||||
# 标准化为整数值
|
||||
if raw_limit is None:
|
||||
limit = 5 # 两个来源都不存在时使用默认值
|
||||
elif isinstance(raw_limit, (int, float)):
|
||||
limit = int(raw_limit) # 数值类型直接转换
|
||||
elif isinstance(raw_limit, str):
|
||||
try:
|
||||
# 字符串转换为整数
|
||||
limit = int(raw_limit)
|
||||
except (TypeError, ValueError):
|
||||
limit = 5 # 转换失败使用默认值
|
||||
else:
|
||||
limit = 5 # 其他意外类型使用默认值
|
||||
debug(f"limit: {limit}")
|
||||
raw_fiids = params_kw.get('fiids') or params_kw.get('knowledge_id')
|
||||
|
||||
# 标准化为列表格式
|
||||
if raw_fiids is None:
|
||||
fiids = [] # 两个参数都不存在
|
||||
elif isinstance(raw_fiids, list):
|
||||
fiids = [str(item).strip() for item in raw_fiids] # 已经是列表
|
||||
elif isinstance(raw_fiids, str):
|
||||
# 处理逗号分隔的字符串或单个ID字符串
|
||||
fiids = [f.strip() for f in raw_fiids.split(',') if f.strip()]
|
||||
elif isinstance(raw_fiids, (int, float)):
|
||||
fiids = [str(int(raw_fiids))] # 数值类型转为字符串列表
|
||||
else:
|
||||
fiids = [] # 其他意外类型
|
||||
|
||||
debug(f"fiids: {fiids}")
|
||||
if isinstance(fiids, str):
|
||||
fiids = [f.strip() for f in fiids.split(',') if f.strip()]
|
||||
|
||||
# 验证 fiids的orgid与orgid = await f()是否一致
|
||||
if fiids:
|
||||
db = DBPools()
|
||||
@ -197,6 +231,7 @@ async def fusedsearch(request, params_kw, *params, **kw):
|
||||
# 调用搜索端点
|
||||
sum = limit + 5
|
||||
search_start = time.time()
|
||||
debug(f"orgid: {orgid}")
|
||||
result = await api_service.milvus_search_query(
|
||||
request=request,
|
||||
query_vector=query_vector,
|
||||
@ -240,8 +275,34 @@ async def fusedsearch(request, params_kw, *params, **kw):
|
||||
|
||||
timing_stats["total_time"] = time.time() - start_time
|
||||
info(f"融合搜索完成，返回 {len(unique_results)} 条结果，总耗时: {timing_stats['total_time']:.3f} 秒")
|
||||
return {"results": unique_results[:limit], "timing": timing_stats}
|
||||
|
||||
# debug(f"results: {unique_results[:limit]},timing: {timing_stats}")
|
||||
# return {"results": unique_results[:limit], "timing": timing_stats}
|
||||
|
||||
|
||||
dify_records = []
|
||||
dify_result = []
|
||||
for res in unique_results[:limit]:
|
||||
rerank_score = res.get('rerank_score', 0)
|
||||
score = 1 / (1 + math.exp(-rerank_score)) if rerank_score is not None else 1 - res.get('distance', 0)
|
||||
score = max(0.0, min(1.0, score))
|
||||
content = res.get('text', '')
|
||||
title = res.get('metadata', {}).get('filename', 'Untitled')
|
||||
document_id = res.get('metadata', {}).get('document_id', '')
|
||||
dify_records.append({
|
||||
"content": content,
|
||||
"score": score,
|
||||
"title": title
|
||||
})
|
||||
dify_result.append({
|
||||
"content": content,
|
||||
"title": title,
|
||||
"metadata": {"document_id": document_id}
|
||||
})
|
||||
|
||||
info(f"融合搜索完成，返回 {len(dify_records)} 条结果，总耗时: {(time.time() - start_time):.3f} 秒")
|
||||
debug(f"records: {dify_records}, result: {dify_result}")
|
||||
return {"records": dify_records, "result": dify_result, "own":{"results": unique_results[:limit], "timing": timing_stats}}
|
||||
except Exception as e:
|
||||
error(f"融合搜索失败: {str(e)}, 堆栈: {traceback.format_exc()}")
|
||||
return {"results": [], "timing": timing_stats}
|
||||
|
||||
@ -321,6 +321,7 @@ class APIService:
|
||||
async def milvus_search_query(self, request, query_vector: List[float], userid: str, knowledge_base_ids: list, limit: int, offset: int, upappid: str, apiname: str, user: str) -> Dict[str, Any]:
|
||||
"""根据用户知识库检索 Milvus"""
|
||||
request_id = str(uuid.uuid4())
|
||||
debug(f"userid:{userid}")
|
||||
debug(f"Request #{request_id} started for Milvus search")
|
||||
try:
|
||||
uapi = UAPI(request, DictObject(**globals()))
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user