What the Data for This Category Looks Like
Special steel intelligent due diligence reports are used for credit due diligence on special steel manufacturers by financial institutions. Data sources include steel mill production logs, third-party quality inspection reports, downstream purchase order databases, and industry association supply and demand statistics platforms. Update frequencies differ across sources:
- Production batch and quality inspection data is updated daily
- Downstream order data is synchronized hourly
- Industry supply and demand data is updated weekly
Report document structure includes core composition parameters (alloy element proportions such as carbon, chromium, nickel), mechanical performance indicators (yield strength, tensile strength), production batch numbers, application category classifications, and trade inventory data. Each field includes a clear unit, such as MPa, %, and metric tons.
Constraints Imposed on HTTP Interfaces and External Systems
Specialized fields and unit requirements for special steel data mean HTTP interfaces must support parameter validation with units and precise field mapping, to meet financial institutions’ data accuracy standards. Differentiated update rhythms from multiple data sources require configurable flexible polling intervals and batch synchronization tasks, to meet the real-time needs of due diligence reports. A single due diligence report includes multiple batches of quality inspection and trade data, leading to larger response payloads and increased risk of interface request timeouts. Most external systems related to special steel use enterprise-grade authentication methods. This requires support for multiple authentication logic types, to avoid cross-system call failures that disrupt credit due diligence workflows.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
external_api_timeout | 600 seconds | Special steel due diligence report data has a large payload. Some ERP interfaces return extensive content; a too-short timeout will cause request interruptions |
field_mapping_template | Map per special steel industry standards | Must match specialized field names such as C_content, yield_strength, Cr_content, to adapt to professional data structures |
polling_interval | 300–1800 seconds | Adapts to update rhythms of different data sources. Set to 300 seconds for hourly synchronized production data, 1800 seconds for weekly synchronized industry data |
external_api_auth_type | API_KEY / OAuth2 | Most external systems related to special steel use API keys or enterprise-grade OAuth authentication; both authentication modes must be supported |
max_response_size | 500 MB | A single special steel due diligence report includes multiple batches of quality inspection data. Response payloads exceed general thresholds, so the upper limit must be adjusted |
parse_field_unit | Enable unit validation | Special steel data has clear units. Validation that returned field units match configured requirements is required to avoid parsing errors |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- A
504 Gateway Timeouterror is returned for interface requests. This occurs because theexternal_api_timeoutconfiguration was not adjusted for large special steel data payloads, and the default timeout duration is insufficient. - A CORS policy cross-origin error appears in the browser console. This occurs because the request source address of FastGPT was not allowed in the external system interface configuration.
- A
403 Forbiddenerror is returned when calling external model interfaces. This occurs because an authorized key was not correctly bound in the FastGPT external system configuration, leading to a permission verification failure.
How to Confirm Configuration is Complete
- Call the configured test interface, check that the returned fields include special steel-specific fields such as
C_contentandyield_strength, and that units match configured requirements. - Review external system access logs, confirm that FastGPT’s request IP and authentication information have been correctly identified, with no interception records.
- Check polling task execution logs, confirm that data is synchronized at the configured interval, with no timeout or failure logs.
- Import a real special steel due diligence report data set, confirm that parsed fields are complete, with no missing or incorrectly matched entries.
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.