What the data for this category looks like
The data for coking coal financing daily reports comes from publicly available listing data from the national coal trading center’s coking coal special zone and coastal port coking coal financing inventory monitoring data. The update cadence is completing full daily data aggregation by 02:00 each day. The document structure uses structured JSON or table format, including core fields such as full name of financing entity, coking coal grade (main coking coal, 1/3 coking coal and other sub-categories), delivery port, financing amount (unit: 10,000 yuan), financing term (unit: calendar days), listing start time, remaining available financing amount and other core fields. There are no redundant nested fields, and all core fields are required.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
The fixed data source and daily update cadence for coking coal financing daily reports require that HTTP interface scheduling be set to a daily pull cycle, to avoid frequent requests triggering data source rate limiting. The fixed enumeration and unit requirements for core fields require that fields returned by the interface strictly match preset mapping rules, otherwise downstream systems cannot recognize valid data. The need to integrate data from multiple sources requires that HTTP interfaces support connecting to endpoints from multiple coal trading platforms simultaneously and unifying return formats. Additionally, the sub-category attributes of coking coal categories require that interfaces support filtering by grade and delivery location, to reduce redundant data transmission.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
timeout | 30 seconds | The data volume of coking coal financing daily reports is small. An overly long timeout setting will occupy scheduling resources, while an overly short timeout will cause incomplete data pulls |
field_mapping | Financing Subject → subject, Coke Coal Grade → grade, Delivery Location → port, Financing Quota → amount, Financing Term → term | Matches the standard field names parsed by FastGPT knowledge bases, to avoid field mismatches during downstream calls |
schedule_interval | 86400 seconds | Coking coal financing daily reports update once per day. Repeated pulls will trigger data source rate limiting |
auth_type | api_key | Most coal trading data sources use API key authentication, which aligns with FastGPT’s standard authentication process |
response_format | json | The structured data of coking coal financing daily reports is better suited for JSON format parsing, facilitating field extraction |
filter_rules | Grade: Primary Coke Coal, 1/3 Coke Coal | Focuses on financing data for mainstream coking coal categories, filtering redundant data from non-core categories |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- The symptom is receiving
Api response erroror seeing "Unauthorized access" in the interface prompt. The cause is incorrect authentication parameter configuration, or failure to bind the application API key to the external data source, resulting in FastGPT being unable to complete interface verification. - The symptom is receiving the
Model response emptyerror. The cause is that the field mapping configuration does not match the actual fields returned by the interface, making it impossible to extract core business fields from the coking coal financing daily reports. - The symptom is that the update time of pulled financing daily report data lags behind the preset cycle. The cause is incorrect timing pull interval configuration, with no scheduling cycle set to match the data source’s update cadence, resulting in expired data being obtained.
How to confirm configuration is complete
- Execute an interface test request, and compare whether the returned JSON fields fully match the configured
field_mapping. - Check the scheduling task log to confirm that the pull action triggers at the preset time, with no timeout or error records.
- Verify the pulled coking coal financing daily report data to confirm that it includes the core categories specified in the configured
filter_rules. - Send a request using invalid authentication parameters to confirm that an authorization failure prompt is triggered, verifying that the authentication logic works correctly.
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.