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elasticsearch更新https连接 (#2390)

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xldistance 2024-01-12 10:17:28 +08:00 committed by GitHub
parent 29ef5dda64
commit a5b52e1bd1
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1 changed files with 7 additions and 7 deletions
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14
server/knowledge_base/kb_service/es_kb_service.py
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@ -15,7 +15,7 @@ class ESKBService(KBService):
def do_init(self):
self.kb_path = self.get_kb_path(self.kb_name)
self.index_name = self.kb_path.split("/")[-1]
self.index_name = kbs_config[self.vs_type()]['index_name']
self.IP = kbs_config[self.vs_type()]['host']
self.PORT = kbs_config[self.vs_type()]['port']
self.user = kbs_config[self.vs_type()].get("user",'')
@ -25,11 +25,11 @@ class ESKBService(KBService):
try:
# ES python客户端连接（仅连接）
if self.user != "" and self.password != "":
self.es_client_python = Elasticsearch(f"http://{self.IP}:{self.PORT}",
self.es_client_python = Elasticsearch(f"https://{self.IP}:{self.PORT}",
basic_auth=(self.user,self.password))
else:
logger.warning("ES未配置用户名和密码")
self.es_client_python = Elasticsearch(f"http://{self.IP}:{self.PORT}")
self.es_client_python = Elasticsearch(f"https://{self.IP}:{self.PORT}")
except ConnectionError:
logger.error("连接到 Elasticsearch 失败！")
raise ConnectionError
@ -47,7 +47,7 @@ class ESKBService(KBService):
# langchain ES 连接、创建索引
if self.user != "" and self.password != "":
self.db_init = ElasticsearchStore(
es_url=f"http://{self.IP}:{self.PORT}",
es_url=f"https://{self.IP}:{self.PORT}",
index_name=self.index_name,
query_field="context",
vector_query_field="dense_vector",
@ -58,7 +58,7 @@ class ESKBService(KBService):
else:
logger.warning("ES未配置用户名和密码")
self.db_init = ElasticsearchStore(
es_url=f"http://{self.IP}:{self.PORT}",
es_url=f"https://{self.IP}:{self.PORT}",
index_name=self.index_name,
query_field="context",
vector_query_field="dense_vector",
@ -110,7 +110,7 @@ class ESKBService(KBService):
self.db = ElasticsearchStore.from_documents(
documents=docs,
embedding=embed_model,
es_url= f"http://{self.IP}:{self.PORT}",
es_url= f"https://{self.IP}:{self.PORT}",
index_name=self.index_name,
distance_strategy="COSINE",
query_field="context",
@ -123,7 +123,7 @@ class ESKBService(KBService):
self.db = ElasticsearchStore.from_documents(
documents=docs,
embedding=embed_model,
es_url= f"http://{self.IP}:{self.PORT}",
es_url= f"https://{self.IP}:{self.PORT}",
index_name=self.index_name,
distance_strategy="COSINE",
query_field="context",