What the data for this category looks like
Data for thermal coal intelligent due diligence reports comes from domestic coal production ledgers, port loading and unloading daily reports, railway freight dispatch records, and power procurement reports. Update frequencies vary: core transaction price data updates daily, mine site production data updates every 10 days, and transportation and inventory data syncs daily. Single report page counts vary widely. Calculation or testing with internal samples is recommended before establishing a standard. The structured section is grouped by mine site, with each group containing fields including mine site name, mining time, calorific value, total moisture, ash content, volatile matter, sulfur content, transaction price, transportation mileage, and arrival time at port. Calorific value is measured in megajoules per kilogram, price in yuan per metric ton, and mileage in kilometers.
What constraints these characteristics impose on deployment and upgrade
Multi-source data with inconsistent update frequencies requires deploying incremental synchronization tasks configured by data source priority, to avoid excessive resource usage from full pulls. Document structures with many structured groups require enabling multi-table recognition mode, otherwise mine site grouping information will be lost. Inconsistent field units require presetting unit conversion mapping rules to prevent unit confusion during subsequent retrieval. Slow response times from some data source interfaces require adjusting synchronization task timeout thresholds to stop task interruptions. Large typical report volumes require relaxing upload file size limits to ensure complete documents can be imported normally.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Thermal coal due diligence reports contain multiple sets of structured tables, leading to long parsing times. 300 seconds covers the full parsing process |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Compressed single reports are typically large. 2000 MB meets the upload requirements for conventional reports |
DATA_SYNC_INTERVAL | 86400 seconds | Core price data updates daily. Daily synchronization ensures data timeliness |
UNIT_MAPPING_ENABLE | Enabled | Data source field units vary. Enabling this setting automatically converts units to a unified standard, avoiding retrieval confusion |
maxContext | 8000–12000 characters | Due diligence reports have many fields. Sufficient context is needed for field mapping and analysis |
RECALL_TOP_K | Top 10 entries | There are many mine site groups. A sufficient number of related data entries must be recalled for comparative analysis |
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 case-by-case analysis, and testing on internal samples is recommended before finalizing values.
Three Common Errors
- Issue: After deploying the SaaS version, daily data synchronization tasks frequently time out. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted for the multi-source data of thermal coal due diligence reports. The default timeout period is too short, causing sync interruptions. - Issue: In FastGPT 4.8.10, importing a thermal coal due diligence report triggers a 500 error. Cause: Multi-table parsing configuration was not enabled, leading to parsing failure for large structured documents and triggering backend exceptions.
- Issue: When deploying a vector model service locally, external calls throw a connection refused error. Cause: The model service listening address was not bound to 0.0.0.0, only allowing local loopback access, so it cannot receive external requests.
How to Confirm Configuration is Correct
- Upload a standard thermal coal due diligence report, verify that the parsing result retains all mine site groups and field data, and confirm that the multi-table parsing configuration is active.
- Run a full data synchronization task once, check that the sync log has no timeout errors, and confirm that the timeout configuration matches the current data source response speed.
- Search for any thermal coal-related data, verify that all field units are consistent, and confirm that the unit mapping configuration is working correctly.
- Test the external call interface, confirm that the service listening address is configured correctly, and there are no access denied errors.
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.