What the data for this category looks like
Data originates from domestic bulk commodity spot trading platforms, futures exchange listed contracts, and publicly disclosed information from chemical fiber industry associations. Two update schedules apply: spot quotes update at fixed times daily, and futures market data is pushed in real time during trading sessions. Data is structured as tabular format, with fields including product name, same-day transaction price, settlement reference price, price fluctuation range, spot basis, inventory turnover days, and other related fields. Price uses yuan/ton as the base unit, and inventory turnover days uses days as the unit.
Constraints for Workflow Orchestration
Chemical fiber data sources are dispersed. Interfaces for both spot trading platforms and futures exchanges must be connected. The workflow must configure multi-source data pull nodes to obtain information separately. The update rhythms of the two data types differ. Spot data updates at fixed times daily, while futures data is pushed in real time during trading sessions. The workflow's scheduled trigger nodes must distinguish scheduling cycles to match the update frequencies of each data type. There are many structured fields, and unit unification is required. The workflow must configure data cleaning nodes to perform standardized mapping of fields from different sources, to avoid unit deviations. Real-time requirements differ between the two data types. Futures data requires low-latency pulls, while spot data can be processed in daily batches. The workflow must split parallel nodes for separate execution.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Scheduled Task Trigger Interval | 1440 minutes (spot), 5 minutes (futures) | Adapts to the daily update rhythm of spot data and real-time push rhythm of futures data, avoids repeated pulls or delayed data acquisition |
Parallel Execution Node Count | 2–4 | Separates spot and futures data pull nodes. Parallel execution reduces overall scheduling time and avoids single-node blocking |
Field Mapping Rule | Align to standardized fields for chemical fiber categories | Unifies field names and units such as price and inventory turnover days from different sources, eliminates data format differences |
API Request Timeout | 30 seconds | Adapts to the response duration of bulk commodity platform interfaces, avoids request failures caused by network fluctuations |
Workflow Exception Retry Count | 2 times | Addresses temporary interface fluctuations, reduces workflow interruptions caused by single request failures |
The parameter values provided on this page are common recommended 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 Misconfigurations
- Phenomenon: The workflow executes without subsequent output after reaching the data pull or knowledge base search node, and the log shows the
NODE_EXECUTE_TIMEOUTstatus code. Cause: No timeout retry mechanism is configured for the chemical fiber data pull node. When the bulk commodity platform interface experiences temporary fluctuations, node execution timeout causes workflow interruption. - Phenomenon: Historical conversation records cannot be directly referenced as code runtime variables in global variables, and the variable is empty when called after configuration. Cause: The historical context storage switch for the workflow is not enabled. The system does not capture and store conversation history, so it cannot be used as a variable for calls.
- Phenomenon: When configuring global variables in request headers, the variables are not correctly replaced, and the interface request returns
401 Unauthorized. Cause: The namespace of the global variable is not correctly bound in the request header configuration item, so the system does not parse and replace the variable.
How to Verify Proper Configuration
- Manually trigger the workflow, check the return results of each data pull node, confirm that field names and units conform to preset standardized rules.
- Simulate triggering the workflow at different times, verify that the scheduled task pulls spot and futures data separately according to the preset cycle.
- Check the global variable configuration item, confirm that the historical context storage switch is enabled, and that variable names match those used in code calls.
- Simulate temporary interface exception scenarios, verify that the workflow executes retry operations according to the configured retry count.
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.