What This Category of Data Looks Like
Yield rate daily report data for rural commercial banks is sourced from internal core business systems, capital operation systems, and retail business systems. Batch processing runs daily at end-of-day to generate a full dataset for the previous calendar day. Each data entry includes these fields: statistical date, business outlet code, product category (such as inclusive micro and small loans, time deposits, interbank certificates of deposit), benchmark yield value, and daily change value. Field specifications are as follows: statistical date uses the YYYY-MM-DD format, business outlet codes combine a 6-digit administrative division code and a 3-digit outlet identification code, and both benchmark yield values and daily change values are floating-point numbers without percentage markers.
Constraints on Conversation Logging and Auditing
The multi-outlet, multi-product category data characteristics of rural commercial banks impose multiple constraints on the conversation logging and auditing process. First, daily report data entries are numerous. Conversation logs must support precise filtering by outlet code and product category. Without this, auditing and troubleshooting requires scanning all logs, which reduces efficiency. Second, data is updated daily. Conversation requests for different dates must be linked to the corresponding date’s data source snapshot. Conversation logs must therefore record the statistical date identifier bound to each request, to ensure that retrospective auditing can match business data from the correct time period. Third, rural commercial banks must meet regulatory audit traceability requirements. Conversation logs must fully record question-and-answer context, called data source interface information, and processing duration. Logs must not be modified arbitrarily. Finally, access to multiple data source systems requires logs to link results from different interfaces, to simplify locating the data source origin of abnormal question-and-answer interactions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
logRetentionDays | 90 days | Meets the audit log retention period required by rural commercial bank regulatory requirements |
historyMaxLength | Last 20 conversation turns | Yield rate daily report conversations only require recent context, to avoid log redundancy |
enableAuditLog | Enabled | Meets regulatory requirements for traceable question-and-answer behavior audits |
customUidBind | Enabled | Supports binding custom user IDs to associate historical conversation records for corresponding users |
apiLogCapture | Include data source interfaces | Fully records the yield rate data call chain for audit troubleshooting |
logFilterRules | Filter by statistical date, outlet code, and product category | Adapts to the multi-outlet, multi-product category data characteristics of rural commercial banks, to accurately locate logs |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by data format, data volume, and business rules. Each scenario requires targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The conversation log interface displays "No permission to operate this conversation record". Cause: The
customUidBindconfiguration item is not enabled, or the current access user’s custom UID is not bound to the conversation log permission rules. - Symptom: Historical conversation records cannot be saved or viewed in login-free scenarios. Cause: Temporary UID generation logic for anonymous users is not configured, so sessions cannot generate unique identifiers and cannot associate stored conversation logs.
- Symptom: The automatically collected question-and-answer reasoning time field is empty. Cause: The
captureResponseTimeconfiguration item is not enabled, or the API log capture range is not set to include the question-and-answer reasoning interface, so duration data is not recorded.
How to Verify Successful Configuration
- Initiate a question-and-answer request with a custom UID, view the conversation log list, and confirm that the UID associated with the log entry matches the UID passed in the request.
- Check the audit log retention configuration item, and confirm that the log retention duration matches the value set for
logRetentionDays. - Trigger a question-and-answer request, view the API log details, and confirm that fields including interface call duration and data source return content are included.
- Test conversation requests for different statistical dates, and confirm that the log correctly associates the business data identifier for the corresponding date.
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.