What data for this category looks like
Thermal coal quote and yield rate data mainly comes from domestic commodity trading platforms, industry monitoring institutions, and port spot quotation systems. Updates are pushed at fixed daily times for same-day settlement data. Some spot quotes update hourly. Data documents include fields such as trading code, daily settlement price, daily price change range, spot benchmark price, and port inventory. Units are yuan/ton, yuan/ton, yuan/ton, and ton respectively. Data formats vary slightly across sources, and unified mapping is required before use for dialogue broadcasts.
What Constraints Do These Characteristics Impose on Dialogue Logs and Auditing
Thermal coal data has multi-source update characteristics. Dialogue logs must be stored classified by data update periods, distinguishing records of daily settlement quotes and hourly spot quotes to avoid cross-period data confusion. The multi-field document structure requires the auditing process to verify the completeness of required fields for each log, including core fields such as trading code and settlement price. Logs with missing fields must be automatically marked as abnormal. Differences in field formats across data sources require logs to complete unified field mapping, ensuring cross-source data consistency can be compared during auditing. Dialogue-related quote requests must be bound with precise timestamps, to facilitate locating the corresponding data source version during backtracking.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90 days | Thermal coal quote auditing needs to cover standard compliance cycles; 90 days meets quarterly backtracking requirements |
TOKEN_STATISTICS_DIMENSION | application | Sub-scenarios require token consumption statistics by application dimension, adapting to cost accounting for multiple broadcast nodes |
CALL_LOG_ENABLED | Enabled | The call chain for thermal coal quote broadcasts must be fully recorded, ensuring every data request can be traced during auditing |
LOG_FIELD_MAPPING_RULES | Defined based on actual testing | Thermal coal data comes from multiple sources, so custom mapping rules are needed to unify field formats |
LOG_TIMEOUT_THRESHOLD | 30 seconds | Response windows for real-time thermal coal quotes are usually short; timed-out logs must be marked as abnormal |
AUDIT_FIELD_MISS_ALERT | Enabled | Missing core fields will cause errors in quote broadcasts, so automated auditing alerts must be triggered |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: Dialogue logs are lost, and historical quote request records cannot be backtracked. Cause: The log storage volume was not correctly mounted in the Docker configuration file, causing log data to be lost when the container is destroyed.
- Phenomenon: Dialogue logs for yesterday and today are empty after calling the workflow. Cause: The
CALL_LOG_ENABLEDconfiguration item was not enabled, so the system did not generate dialogue log records. - Phenomenon: Call logs are not displayed on the model provider page. Cause:
LOG_FIELD_MAPPING_RULESwas not configured, so log fields were not standardized and cannot be displayed on the front-end page.
How to Verify Configuration Success
- Log in to the system backend, view the configured value of
LOG_RETENTION_DAYS, and confirm it matches the requirements of the business auditing cycle. - Initiate a real-time thermal coal quote query request, check if the logs generated in the backend include all preset core fields, and confirm that the field mapping rules take effect.
- Enter the call log page, verify that logs for current and historical requests are displayed normally, and confirm that the
CALL_LOG_ENABLEDconfiguration takes effect. - Simulate a log scenario with missing fields, check if an auditing alert is triggered, and confirm that the
AUDIT_FIELD_MISS_ALERTconfiguration takes effect.
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.