What this category's data looks like
Steel trade market and yield data comes from three primary sources: domestic steel spot trading platforms, futures exchange delivery data, and internal inventory and sales ledgers of traders. Data updates daily, with full daily reports generated at the end of each calendar day. Reports are grouped by trade category, and include fields including product name, origin specification, daily transaction price, month-on-month change reference value, inventory turnover days, and regional circulation volume. Units are uniformly yuan/ton, ton, and ten thousand yuan.
What constraints do these characteristics impose on model integration and configuration
The multi-category grouping and structured field properties of steel trade data require standardized field mapping rules to adapt to naming differences across data sources. The end-of-day batch update schedule requires configuring scheduled trigger parameters to match the data generation cycle and retrieve the latest content. The large data volume of single daily reports requires configuring appropriate context window parameters to avoid content truncation. Unit differences across multiple data sources require configuring automatic unit alignment rules to prevent unit errors in broadcasts. Batch processing multiple documents requires configuring reasonable parsing timeout parameters to avoid task interruptions.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
scheduleTriggerCron | 0 18 * * * | Matches the end-of-day generation cycle of steel trade daily reports to ensure retrieval of the latest daily data |
maxContext | 8000–12000 characters | Accommodates fully categorized structured field content of a single daily report to avoid content truncation |
fieldMappingConfig | Preset field mapping rules per category, unify specification and unit naming | Adapts to field naming differences across data sources to eliminate recognition errors |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Allocates sufficient time to parse multi-category batch documents to avoid parsing timeouts |
Recall count | Top 6 entries | Covers market data for core trade categories to avoid missing key information |
Similarity threshold | 0.75–0.85 | Filters low-relevance historical data to ensure broadcast content accurately matches daily market trends |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: Reranking models fail to trigger during large model invocation, but return normal results during knowledge base search testing. Cause: The invocation permission for the reranking model is not associated in the tool call configuration, and the reranking model is only configured in the knowledge base retrieval step.
- Phenomenon: The
deepseek-v3.1model version does not appear in the platform model list. Cause: The API key and integration configuration for this version have not been added in the platform model management interface, and version synchronization has not been completed. - Phenomenon: Model invocation returns results delayed by more than 3 minutes, with a
504 Gateway Timeoutstatus code returned by the interface. Cause: Reasonable model invocation timeout parameters have not been configured, and hardware resources are insufficient to quickly process market data parsing tasks for 16b models.
How to verify successful configuration
- Manually trigger a scheduled task, review the parsing results in the task log, and confirm that fields match the original content of the daily report documents.
- Invoke the model to generate daily report broadcast content, confirm that the output format matches the preset template, and that all core fields are fully included.
- Check the integration status on the model management page, and confirm that the configured model version shows a normal connection status.
- Test market data calls for different trade categories, confirm that field mapping rules are active, and that no unit or specification errors are present.
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.