What the data for this category looks like
Water industry research data primarily comes from municipal water utility real-time pipe network monitoring systems, monthly operation reports, national and local water industry policy documents, water quality standards and specifications, and industry association research materials. Real-time monitoring data updates hourly or daily. Operation reports update monthly. Policy documents and industry reports are released on an irregular basis.
Documents include structured monitoring fields such as monitoring point ID, monitoring time, water pressure (unit MPa), turbidity (unit NTU), water supply volume (unit 10,000 m³), semi-structured monthly operation analysis reports, and unstructured engineering plans and policy interpretation texts.
What constraints do these characteristics impose on the conversation logging and auditing workflow
Water industry research data includes numerous real-time structured fields and unit-specific indicators. Conversation logs must fully record the queried field scope, time interval, and unit information to avoid data interpretation deviations during audits.
Update frequencies vary widely across different document types. The audit workflow must link conversations to the corresponding versions of knowledge base documents to ensure accurate data sources are used during traceability. Additionally, water operation data involves public service compliance requirements. Complete operational traces must be retained, and unauthorized users must be prevented from deleting audit logs to ensure the integrity of data traceability.
How to configure the feature
These configurations apply to the logging and auditing features in version V4.9.7 and above.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
API_CHAT_LOG_ENABLE | Enabled | Records water industry research conversations initiated via API, meeting traceability and compliance requirements for research workflows |
LOG_CHAT_RETENTION_DAYS | 365 days | Meets compliance requirements for data retention in the water industry, fully covering the annual audit cycle for research work |
CHAT_ID_RECORD_ENABLE | Enabled | Automatically collects the chatId parameter passed during calls, facilitating association of conversation context and operating entities |
LOG_DELETE_LOCK | Enabled | Locks deletion permissions for audit logs, preventing unauthenticated users or unauthorized operations from deleting critical records |
PARSE_LOG_FIELD_UNIT | Enabled | Automatically records unit information for water industry data fields, ensuring no ambiguity in data interpretation during audits |
ERROR_LOG_RETRY_TIMES | 3 times | Retries logging for failed calls up to 3 times, preventing audit data loss due to network fluctuations |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volumes, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Issue: After passing the
chatIdparameter via an API call, the backend conversation log does not record this field. Cause: TheCHAT_ID_RECORD_ENABLEconfiguration is not enabled, so thechatIdparameter is not included in the log collection scope. - Issue: Users accessing via guest links delete conversations, and the corresponding backend audit logs are also deleted synchronously. Cause: The
LOG_DELETE_LOCKconfiguration is not enabled, and deletion permissions for audit logs are not locked, causing conversation deletion operations to also delete associated audit logs. - Issue: When calling the water industry research knowledge base, the logging module reports an error "Data acquisition exception" or returns a
500status code. Cause:PARSE_LOG_FIELD_UNITis not configured, so the logging module cannot recognize unit fields for water industry data, triggering a parsing exception.
How to verify successful configuration
- Initiate an API call with a custom
chatIdparameter, search for this parameter in the backend log panel for version V4.9.7 and above, and confirm it is recorded normally. - Generate a guest conversation link, initiate a conversation, then perform a deletion operation, and check if the backend audit log still retains the complete record of this conversation.
- Trigger a call failure, check if the logging module generates a corresponding error record, and confirm that the error information matches the call parameters.
- View the status of relevant configuration items such as
API_CHAT_LOG_ENABLEandLOG_DELETE_LOCKin the configuration panel, and confirm they are enabled as required.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.