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Refa:remove sensitive information (#11873)

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### What problem does this PR solve?

change:
remove sensitive information

### Type of change

- [x] Refactoring
This commit is contained in:
buua436
2025-12-10 19:08:45 +08:00
committed by GitHub
parent ab4b62031f
commit 3cb72377d7
11 changed files with 62 additions and 24 deletions
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10
api/apps/canvas_app.py
View File

@ -342,7 +342,15 @@ async def test_db_connect():
f"UID={req['username']};"
f"PWD={req['password']};"
)
logging.info(conn_str)
redacted_conn_str = (
f"DATABASE={req['database']};"
f"HOSTNAME={req['host']};"
f"PORT={req['port']};"
f"PROTOCOL=TCPIP;"
f"UID={req['username']};"
f"PWD=****;"
)
logging.info(redacted_conn_str)
conn = ibm_db.connect(conn_str, "", "")
stmt = ibm_db.exec_immediate(conn, "SELECT 1 FROM sysibm.sysdummy1")
ibm_db.fetch_assoc(stmt)

2
api/db/init_data.py
View File

@ -73,7 +73,7 @@ def init_superuser(nickname=DEFAULT_SUPERUSER_NICKNAME, email=DEFAULT_SUPERUSER_
UserTenantService.insert(**usr_tenant)
TenantLLMService.insert_many(tenant_llm)
logging.info(
f"Super user initialized. email: {email}, password: {password}. Changing the password after login is strongly recommended.")
f"Super user initialized. email: {email},A default password has been set; changing the password after login is strongly recommended.")
chat_mdl = LLMBundle(tenant["id"], LLMType.CHAT, tenant["llm_id"])
msg = chat_mdl.chat(system="", history=[

2
api/db/joint_services/user_account_service.py
View File

@ -273,7 +273,7 @@ def delete_user_data(user_id: str) -> dict:
except Exception as e:
logging.exception(e)
return {"success": False, "message": f"Error: {str(e)}. Already done:\n{done_msg}"}
return {"success": False, "message": "An internal error occurred during user deletion. Some operations may have completed.","details": done_msg}
def delete_user_agents(user_id: str) -> dict:

4
api/db/services/llm_service.py
View File

@ -109,7 +109,7 @@ class LLMBundle(LLM4Tenant):
llm_name = getattr(self, "llm_name", None)
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens, llm_name):
logging.error("LLMBundle.encode can't update token usage for {}/EMBEDDING used_tokens: {}".format(self.tenant_id, used_tokens))
logging.error("LLMBundle.encode can't update token usage for <tenant redacted>/EMBEDDING used_tokens: {}".format(used_tokens))
if self.langfuse:
generation.update(usage_details={"total_tokens": used_tokens})
@ -124,7 +124,7 @@ class LLMBundle(LLM4Tenant):
emd, used_tokens = self.mdl.encode_queries(query)
llm_name = getattr(self, "llm_name", None)
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens, llm_name):
logging.error("LLMBundle.encode_queries can't update token usage for {}/EMBEDDING used_tokens: {}".format(self.tenant_id, used_tokens))
logging.error("LLMBundle.encode_queries can't update token usage for <tenant redacted>/EMBEDDING used_tokens: {}".format(used_tokens))
if self.langfuse:
generation.update(usage_details={"total_tokens": used_tokens})