What This Type of Data Includes
Steel trade market and yield data is sourced from industry spot trading platforms, futures exchange market application programming interfaces, and trader inventory and sales ledgers. Two update schedules are used: real-time for futures prices, and daily updates for spot trading and inventory data. Each daily report contains fields including traded product, origin and specification, purchase cost, average sales price, inventory volume, and daily trading volume. Price units are yuan per ton. Inventory and trading volume units are tons. All fields are tightly bound to specific trade categories, with no generic ambiguous fields.
Constraints for Forms and Interactions
The multi-dimensional nature of steel trade data and its tight binding to specific categories requires forms to support multi-category filtering and grouped display. This prevents confusion caused by mixed fields. The mixed update schedule of daily spot data and real-time futures prices requires interaction flows to support both scheduled pulling and manual refresh synchronization methods. This adapts to different reporting needs. The structured multi-field format with fixed units requires forms to automatically match units and validate field formats. This reduces manual input errors. Large volumes of batch-submitted trading data require interaction flows to limit the number of entries per submission. This avoids interface timeouts or data loss.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
data_sync_cron | 0 7 * * * | Steel trade market data typically updates before 7 a.m. daily, matching the pre-broadcast preparation schedule |
form_field_group | Group by "Traded Product", "Price Parameters", "Inventory Data" | Steel trade data is split by category and trading dimension, allowing quick location of fields |
recall_top_k | Top 8 entries | Each steel trade daily report contains multi-category data, limiting recalled entries reduces interaction latency |
field_unit_auto_match | Enabled | Steel trade fields use fixed units such as yuan per ton and tons, automatic matching reduces input errors |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Steel trade batch data files have large file sizes, extending the timeout prevents parsing failures |
form_submit_max_batch | 50 entries per submission | Large volumes of batch-submitted steel trade data require limiting per-submission count to avoid interface timeouts |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: When looping AI session calls to process steel category arrays, the output does not include yield data for every category. Cause: The input parameters of the loop body are not bound to array elements, resulting in repeated use of initial data.
- Phenomenon: After configuring a third-party steel market data source, the form dropdown options do not display fields from the corresponding data source. Cause: The data source metadata pull switch is not enabled, so the platform cannot parse the field structure returned by the API.
- Phenomenon: A
413 Request Entity Too Largeerror occurs when submitting batch forms. Cause: No reasonable per-submission entry limit is set, and the per-submission data volume exceeds the interface's carrying capacity.
How to Confirm Successful Configuration
- Manually trigger a data synchronization task, and check if pull records for the corresponding data source exist in the system logs.
- Navigate to the form configuration page, confirm that all steel trade-related fields are displayed in the preset groups, and that the unit automatic matching function is enabled.
- Submit a single test data entry, verify that the form correctly validates field formats and value ranges.
- Run a loop test task to process preset test data for three steel categories, confirm that normal processing results are generated for each category.
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.