What data for this category looks like
Coal chemical industry financing daily report data comes from publicly disclosed financing filing information for coal chemical projects from regional energy industry associations, credit reporting interfaces from cooperative banks, and supporting financing ledger data from coal trading centers. Updates run daily at midnight, pulling full financing records from the previous day. Each daily report entry includes fixed fields: full name of the financing entity, single financing amount (unit: ten thousand yuan), financing term (unit: day or month), credit granting institution, release date, coal chemical subcategory of the project (such as coal-to-olefins, coal-to-ethylene glycol), and project location. A single batch contains many data entries, with no fixed per-entry length. Core fields cover financing-related attributes and coal chemical project identifiers.
What constraints these characteristics impose on HTTP interfaces and external system integration
The characteristics of coal chemical industry financing daily reports create clear constraints for HTTP interface and external system integration. The daily update cadence requires interfaces to support scheduled batch pulling, avoiding delays from manual synchronization. The dedicated coal chemical subcategory field requires the interface to include validation logic for this field, otherwise compliance checks will fail. Field units are uniformly ten thousand yuan and day/month. External interfaces returning data must match these units, or unit conversion must be completed on the FastGPT side. The large number of entries in a single batch requires interfaces to support pagination pulling parameters, preventing overload from single requests. Additionally, the financial nature of the data requires interfaces to use secure authentication and transmission methods to ensure data compliance.
How to configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
external_api_timeout | 300 seconds | Adapts to interface response times when pulling thousands of coal chemical financing daily report entries in a single batch, preventing synchronization tasks from aborting mid-execution |
external_api_batch_size | 500 entries | Balances interface load and pulling efficiency, matching the daily data scale of coal chemical financing daily reports |
field_mapping_rule | Prioritize configuration of coal chemical-specific fields | Ensures unique fields such as downstream application category and single financing amount are mapped correctly, avoiding data loss |
api_auth_type | Bearer Token | Adapts to authentication standards for most industry public data interfaces and bank credit interfaces, meeting security requirements for financial data transmission |
data_parse_strict_mode | Enabled | Validates the unit legitimacy of financing term and the numeric format of single financing amount, filtering invalid data |
sync_frequency | Once daily, at 2:00 AM | Matches the daily update cadence of coal chemical financing daily reports, preventing repeated pulling of old data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Symptom: Interface call returns
400 Bad Requestwith promptmissing downstream application category field. Cause: The coal chemical-specificdownstream application categoryfield was not added to the field mapping configuration, causing interface validation to fail. - Symptom: Synchronization task fails, with
request timed outshown in backend logs. Cause: In version V4.8.20-FIX2,external_api_timeoutwas set to 120 seconds, which did not adapt to the response time required for pulling multi-batch coal chemical financing daily report data. - Symptom: The
financing amountfield in the knowledge base shows 0. Cause: Thefinancing amount (yuan)returned by the external interface was not converted to theten thousand yuanunit required by coal chemical financing daily reports, causing incorrect numerical truncation.
How to confirm configuration is complete
- Call the configured HTTP interface, check if the returned JSON data includes all exclusive fields for coal chemical financing daily reports, and verify that field formats and units meet requirements.
- Manually trigger a synchronization task, check the synchronization logs in the FastGPT backend, confirm there are no errors and data is written to the knowledge base normally.
- Check the interface authentication configuration, use a tool to call the interface, verify that
Bearer Tokenauthentication takes effect and there are no permission errors. - Compare the update time of the external data source with the synchronization time in FastGPT, confirm that the synchronization frequency matches requirements.
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.