What the data for this category looks like
Data related to energy metals primarily comes from public reports released by the China Nonferrous Metals Industry Association, warehouse receipt data from the Shanghai Futures Exchange, import and export announcements from the General Administration of Customs, and official announcements from leading mining and smelting enterprises. Update rhythms vary across sources: spot trading prices are updated every trading day, monthly supply and demand analysis reports are released in the early and middle days of each month, and customs import and export data lags by 1 to 2 weeks. Documents mostly consist of structured tables paired with industry trend analysis text. Core fields include spot price, inventory scale, production volume, and import and export volume, with corresponding units of yuan/ton, ten thousand tons, thousand tons, and tons respectively.
Constraints on workflow orchestration from these characteristics
The multi-source nature, varied update rhythms, and inconsistent formatting of energy metals data create clear constraints for workflow orchestration. Differences in update cycles across data sources require layered trigger logic in workflow configurations, to pull spot data on a daily cycle and monthly report data on a monthly cycle. Field names and units vary across data sources, so standardized mapping nodes must be embedded in workflows to align field formats and units. Some customs data has a lag, so a time validation step must be added to filter expired data. The need for structured parsing of long documents requires workflows to support segmented reading and precise field extraction, to avoid parsing timeouts for single files.
How to set the configurations
| Config Item | Suggested Value | Rationale |
|---|---|---|
WORKFLOW_TRIGGER_SCHEDULE | Batched configuration as "0 9 * * 1-5", "0 10 5 * *", "0 11 15 * * 1" | Matches the update rhythms of spot data (updated daily), monthly industry reports (released on the 5th of each month), and customs data (updated on the 15th of each month) respectively |
PARSE_DOC_UNIT_CONVERT | Enabled | Unifies unit formats across data sources, to avoid abnormal field values caused by unit differences |
WORKFLOW_VAR_UPDATE_TRIGGER | Triggered upon node execution completion | Ensures variables tracking the number of classified problem calls are updated in real time after node execution, meeting counting requirements |
PARSE_FILE_MAX_SIZE | 2000 MB | Single energy metals industry report documents can be up to 1500 pages, so this reserves sufficient parsing space |
WORKFLOW_TIMEOUT | 1800 seconds | Total time for multi-source data pulling and structured parsing typically does not exceed 1500 seconds, with a 300-second buffer reserved |
FIELD_MAPPING_RULES | Calibrated based on actual testing | Field names vary across data sources, so mapping rules must be adjusted based on actual connected data sources |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: The call count variable for classified problems is not updated, and the log shows the
VAR_UPDATE_FAILEDerror code. Cause:WORKFLOW_VAR_UPDATE_TRIGGERis not configured to trigger upon node execution completion, so the variable update node is not called correctly. - Symptom: Workflow execution times out, and the interface shows the
504 Gateway Timeoutstatus code. Cause: TheWORKFLOW_TIMEOUTconfiguration is not adjusted, and the default timeout period is insufficient to complete multi-source data pulling and parsing. - Symptom: Parsed fields have inconsistent units, such as price data showing both yuan/ton and yuan/kilogram. Cause: The
PARSE_DOC_UNIT_CONVERTconfiguration is not enabled, so unit standardization conversion is not performed for different data sources.
How to confirm the configuration is correct
- Manually trigger the workflow once. Verify that the call count of classified problems in the variable panel updates in real time as corresponding nodes complete, and confirm the update logic matches expectations.
- Import an energy metals industry report. Check that parsed fields have unified unit formats with no obvious unit inconsistencies.
- View workflow trigger logs to confirm that different types of data are pulled according to preset cycle triggers.
- Upload a long document. Confirm that the workflow does not trigger parsing failure due to excessive file size, and that the timeout configuration matches actual execution time.
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.