What the data for this category looks like
Data sources include real-time quotes from public commodity trading platforms, weekly statistical reports released by industry associations, and ex-factory guidance price announcements from upstream manufacturers. Update frequencies fall into three categories: spot trading quotes update daily, ex-factory guidance prices update weekly, and overall industry supply and demand data is released every two weeks. Document formats are mostly structured tables or standardized JSON datasets. Fields include raw material name, origin, core specification parameters, trading price range, inventory scale, circulation volume, and more. Units follow uniform standards: prices use yuan/ton as the base unit, inventory is measured in ten thousand tons, and circulation volume is measured in thousand tons.
What constraints these characteristics impose on workflow orchestration
Data sources with differing update frequencies require layered trigger nodes in the workflow. Set pull cycles corresponding to daily, weekly, and every two-week intervals. This avoids pulling outdated data or triggering call rate limits. Differences in fields across structured data from multiple sources require configuring unified field mapping rules in the workflow. Align synonymous fields such as "stock level" and "inventory" from different platforms to standard fields. This ensures consistency in subsequent calculations. The need to aggregate data across multiple time granularities requires the workflow to support custom time window configuration. This enables associated calculation of daily spot market quotes and weekly ex-factory guidance prices, supporting generation of daily yield rate reports. Non-standard formats from some data sources require adding pre-data validation nodes in the workflow. These nodes filter datasets missing key parameters.
How to set configurations
| Configuration Item | Recommended Setting | Basis for This Setting |
|---|---|---|
triggerSchedule | Configure per data source group: spot data 0 0-23/4 * * *, ex-factory guidance prices 0 8 * * 1, industry data 0 10 * * 1,3 | Matches actual update frequencies of each data source, avoids invalid pulls or delays |
dataFieldMapping | Configure field mappings for "origin", "specification", "transaction price"; align "stock level" to "inventory scale" | Unifies field formats for multi-source heterogeneous data, ensures calculation consistency |
apiRateLimitInterval | 30 seconds | Adapts to call rate limit rules of most commodity platforms, avoids triggering access blocks |
maxParseContext | 8000–12000 characters | Chemical raw material data has many structured fields, requires sufficient context for aggregation calculations |
workflowTimeout | 600 seconds | Covers average time required for multi-source data pull, cleaning, and initial calculation |
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 mistakes
- Phenomenon: Structured data attached when calling a plain text processing node in the workflow is incorrectly parsed as document content. Cause: The automatic document parsing switch was not turned off in the node configuration, causing non-file text input to trigger the parsing process.
- Phenomenon: Tasks fail due to mismatched model input formats when calling both multimodal models and tool call nodes in the workflow. Cause: No format conversion step was configured between nodes, and the output of the multimodal model was not converted to plain text format for use by the tool call node.
- Phenomenon: The number of returned results from the knowledge base search node in the workflow is far lower than expected. Cause: The
recallTopKparameter of the knowledge base search in the workflow was not adjusted, and the default value does not adapt to the field density and recall requirements of chemical raw material data.
How to confirm proper configuration
- Manually trigger the workflow once, check the execution logs of each node, confirm that the pull time of each data source matches the configured scheduling rules.
- Check the output results of the data mapping node, confirm that fields from different sources have been aligned to standard formats.
- Call the test interface of the workflow, verify that input and output formats between nodes match, with no format errors.
- View the workflow's operation statistics panel, confirm that task execution time does not exceed the configured
workflowTimeoutthreshold.
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.