What the data for this category looks like
Thermal coal data comes from domestic coal port monitoring systems, power enterprise purchase ledgers, and public industry association statistical data. It is stored as structured tables or CSV documents. Update rhythms are uneven: daily port listing prices are updated daily, while regional inventory and cross-region transport data are updated weekly. Document fields include origin name, received base low heating value, total sulfur content, ash content, tax-included rail car platform price, total inventory, and transport flow direction. Units are kcal/kg, %, %, yuan/ton, ten thousand tons. Some cross-source data has unit description differences, requiring additional conversion processing.
What constraints these characteristics impose on deployment and upgrade
Thermal coal data includes multi-dimensional structured fields and has uneven update frequencies. During deployment, configure parallel tasks for multi-source data synchronization to avoid single-threaded pull timeouts. During upgrade, ensure compatibility with the new regional transport flow field to prevent loss of critical information via old parsing rules. Field units vary across sources, so preset a unit conversion mapping table during deployment to avoid unit confusion during knowledge base retrieval. Monthly bulk upload data files have large sizes. Adjust upload limit parameters during deployment to support large file submissions. Weekly updated inventory data must align with the scheduled synchronization rhythm to avoid misalignment between pull time and data release.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Thermal coal data documents include multi-dimensional structured fields. Unit conversion and field mapping must be completed during parsing. The timeout duration must cover the full parsing process |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Bulk data files for regional inventory and cross-region transport are typically large. Support for bulk upload of multiple monthly data files is required |
SYNC_CRON_EXPRESSION | 0 0 2 * * * | Thermal coal price data is updated daily. Weekly inventory data is released every Monday. Scheduled pulls must match the data release rhythm |
maxContext | 8000–12000 characters | Field descriptions and data details for individual thermal coal business reports are lengthy. Sufficient context must be retained for precise recall |
Number of Recalled Entries | Top 8 entries | Thermal coal marketing content must cover dimensions including origin, price, and transport. Too many recalled results cause content redundancy. Too few results fail to meet user needs |
Similarity Threshold | 0.75–0.85 | Thermal coal data has many fields with high similarity. Low-correlation historical data must be filtered to retain precisely matched business information |
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. Evaluate specific cases individually. Test with available samples before finalizing configurations.
Three Common Errors
- When uploading thermal coal structured data documents, the interface displays a parsing timeout error. The cause is failure to adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter. The default timeout duration is insufficient to complete unit conversion and mapping for multi-dimensional fields. - After triggering marketing content generation, the conversation interface shows the question and answer has ended, but the right-side details panel has no output content. The cause is the
maxContextparameter being set to too small a range. Complete field information for thermal coal data is not included in the context, causing a truncation error during the generation phase. - After upgrading to version v4.8.20, calling the knowledge base retrieval interface returns a 500 status code. The cause is that the old configuration's field mapping rules are not compatible with the new regional transport flow field, causing a null field exception during retrieval.
How to Confirm Configuration Is Complete
- Upload a standard thermal coal data document. Check if the parsed fields include preset business items. Verify that unit conversion follows configured rules.
- Manually trigger a scheduled synchronization task. Check if the latest data is pulled at the set time, with no missing data or format errors.
- Call the knowledge base retrieval interface. Enter specified business keywords. Check if the number of returned results and similarity match preset configuration requirements.
- Launch a simple application and trigger marketing content generation. Check if complete copy is returned normally, with no uncaught exceptions.
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.