What the data for this category looks like
Special steel yield rate and market data primarily comes from domestic special steel industry associations, official websites of large special steel manufacturers, and bulk commodity spot trading platforms. Data updates are completed within 1 hour after daily market close for all categories of the current day. Each data document includes fields such as special steel grade, specification model, production origin, daily spot benchmark price, futures settlement price, inventory turnover days, and daily trading volume. Units are uniformly yuan/ton. Some sub-categories include process parameter annotations such as hardenability and hardness requirements.
What constraints do these characteristics impose on workflow orchestration
Special steel data is multi-source, heterogeneous, and has inconsistent field naming. This requires configuring multiple parallel nodes in the workflow to pull data from different sources, and adding a unified field mapping node to align field names. The fixed daily update rhythm requires binding a scheduled trigger rule to the workflow, and setting a reasonable timeout period to avoid missing the daily data update window. The diversity of grades and specifications for sub-categories requires configuring filter rules based on grade keywords in the data filtering node, to only retain market data for target special steel categories. Additionally, process parameter fields included in the data must be excluded during preprocessing to avoid interfering with yield rate calculation logic. Some special steel categories also have missing fields across data sources, which requires configuring a default value filling node in the workflow to avoid null value errors in subsequent statistical links.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Scheduled Trigger Cron Expression | 0 19 * * * | Domestic bulk commodity market data is typically updated between 17:00-18:00 daily. Setting a 19:00 trigger ensures complete daily data is obtained |
Parallel Data Source Pull Node Count | 2–3 | Two core data sources are connected: industry associations and spot trading platforms. Parallel pulling reduces overall execution time |
Field Mapping Rules | Match actual fields from connected data sources | Market field names vary across different data sources, and must be aligned to unified names such as Daily Spot Price |
Data Filtering Keywords | 40Cr,65Mn,H13 | Set filtering rules for target special steel grades, only retain market data for specified categories |
Workflow Timeout Threshold | 600 seconds | Multiple interface pulls require waiting for multiple responses. Setting a 10-minute timeout covers normal pull durations and avoids task suspension |
Output Format | Structured Table | Yield rate daily reports require clear display of multi-dimensional data, and structured format facilitates subsequent distribution and viewing |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After workflow execution, the generated market report link uses an internal IP and port format, and cannot be accessed externally. Cause: No custom domain name mapping rule was configured in the file storage node, and the internal address of the deployment environment is used by default to generate links.
- Symptom: The
Question Classificationnode in the workflow fails to correctly match query intent related to special steel market data. Cause: No dedicated classification thesaurus for the special steel yield rate scenario was imported, and general classification rules cannot match professional terminology in this subfield. - Symptom: Syntax errors related to the
$schemafield occur when importing or exporting workflow configurations. Cause: The preset path of the$schemafield was modified when manually editing the configuration file, causing the configuration to fail FastGPT format validation.
How to confirm the configuration is complete
- Manually trigger the workflow once, check if the pulled data includes market fields for target special steel grades, and that field names are unified.
- View the workflow execution log, confirm that the scheduled trigger task starts on time according to the preset Cron expression, with no timeout errors.
- Test the link generated by the file upload node, confirm that the generated daily report file can be accessed via the external network.
- Submit a test query related to special steel market data, verify that the classification result of the
Question Classificationnode meets expectations.
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.