What the data for this category looks like
Public disclosure APIs of the textile and apparel sector on the Shanghai and Shenzhen Stock Exchanges and industry index service platforms provide apparel and home textile sector market and yield data. Data updates run in batches 1 to 2 hours after market close each trading day. Single data documents use JSON or CSV format, and include fields such as trading date, industry index code, daily return, trading volume, and trading amount. The trade_date field follows the YYYY-MM-DD format. The daily_return field is a floating-point value for the daily return. The turnover_volume unit is shares. The turnover_amount unit is yuan. No additional aggregated statistical data is included.
What Constraints These Characteristics Impose on Conversation Logs and Auditing
Batch daily updated data generates a large number of identical market query requests in a short period. Audit logs must distinguish between individual user requests and batch task requests to avoid log confusion. Structured data with multiple fields requires logs to fully record returned content, without truncating critical values or parameters. Data update times are fixed, so logs must link request times and data update times to verify the timeliness of returned data. Request parameter ranges must also be recorded to align AI returned market content with user requests, ensuring audit traceability.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
CHAT_RECORD_SAVE_DAYS | 7-30 days | Apparel and home textile industry audit compliance requirements mandate retaining conversation and log records. This range covers standard traceability cycles |
LOG_SAVE_DAYS | 30 days | Troubleshooting issues with market data interfaces requires tracing request logs from the past 30 days, matching industry compliance retention periods |
LOG_REQUEST_DETAIL | Full recording | Must fully record apparel and home textile market query parameters (such as index codes, query date ranges) for verifying returned content |
ERROR_LOG_LEVEL | WARN and above | Must capture market interface errors (such as 404 data source not found, 504 interface timeout) to ensure exceptions can be traced |
LOG_FIELD_TRUNCATE | Disabled | Apparel and home textile market data includes multiple fields of values. Disabling truncation ensures logs fully record all returned content |
RECORD_AUDIT_FLAG | Enabled | Add audit markers to conversation logs to facilitate exporting audit logs in compliance with subsequent requirements |
The parameter values provided on this page are common recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Calling the apparel and home textile market interface returns
500 Internal Server Error, and no corresponding error log is visible in the system interface. Cause:ERROR_LOG_LEVELis not set toWARN and above, only INFO-level logs are recorded, and exception errors are not captured. - Phenomenon: Only partial market fields are displayed in conversation logs, with complete values truncated. Cause: The
LOG_FIELD_TRUNCATEconfiguration is enabled, and the single log length limit does not match the multi-field content of apparel and home textile market data. - Phenomenon: Conversation records are automatically deleted 7 days after deployment, making historical interactions untraceable. Cause: The default
CHAT_RECORD_SAVE_DAYSconfiguration is not modified, and the default retention period does not meet the retention duration required by industry audit requirements.
How to Confirm the Configuration Is Correct
- Access the system log management interface, filter request logs from the past 24 hours, and confirm that they include apparel and home textile market query parameters and returned content.
- Manually trigger a market query, enter an invalid industry index code, and check whether the error log captures the corresponding exception.
- View the conversation record list, confirm that historical conversations from the past 7 days can still be accessed normally and have not been automatically cleaned up.
- Export audit logs for a specified time period, confirm that the logs include complete request parameters, returned data, and timestamps.
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.