What data for this category looks like
Data for this category mainly comes from content review backends, user reporting channels, public regulatory policy documents, and compliance sample libraries. Daily produced documents include review rules, disposal operation guides, user appeal records, and quarterly quality inspection reports. Data update frequency is daily synchronization or immediate updates when policies change. Data fields include review rule clauses, sample violation types, appeal review results, quality inspection scores, and more. Some fields require format adjustments to comply with compliance requirements, and there are no unified fixed units.
What constraints these characteristics impose on HTTP interfaces and external systems
Scattered data sources and non-fixed update cycles require interfaces to support multi-source data pulling and incremental synchronization configuration. Full data pulls will use excessive server resources, so this configuration is necessary. Daily documents include structured review rules and violation content samples. Interfaces must support rule import and sample upload in different formats. Appeal records and quality inspection reports have high compliance requirements. Interfaces must carry identity verification parameters to ensure data transmission security. The most time-consuming rule explanation and review links rely on accurate sample data. Interface return fields must clearly correspond to violation types and disposal bases. Missing information will reduce manual review efficiency. Error consequences involve compliance risks. Interfaces must support failure retry and exception log reporting mechanisms. This allows rapid problem location and resolution.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Interface authentication method | Set Authorization header to Bearer Token format | Complies with industry general interface security specifications, and adapts to the permission verification logic of FastGPT v4.17.0 |
| Data pull frequency | Once every 15-30 minutes | Balances data timeliness and server load, and adapts to the update rhythm of this category's daily updates or policy-driven changes |
| Return field filtering | Only return review rules and appeal record fields in responseData | Reduces invalid data transmission, and matches the core business data requirements of this category |
| Variable parameter configuration | Pass in the variables field to specify the review rule version number | Accurately pulls rule data of the corresponding version, avoiding version confusion |
| Timeout threshold | Set to 600 seconds | Adapts to the time-consuming requirements of batch sample query and rule synchronization for this category |
| Retry mechanism | Retry 2 times after failure, with a 10-second interval | Responds to temporary network fluctuations, and ensures the stability of data synchronization |
Three common mistakes
- Calling the interface returns empty fields, and review rules or appeal record lists cannot be obtained. This happens because the
variablesfield is not correctly configured to specify the corresponding data scope. The interface cannot match the exclusive business data of this category. - The interface call returns a 514 status code. The cause is that the authentication parameter
Authorizationdoes not correctly carry the Bearer Token format, or the Token has expired and has not been updated. This does not meet the permission verification requirements of FastGPT. - A connection failure occurs when synchronizing review samples via an external PostgreSQL database. The cause is that database connection parameters are not configured according to the business scenario, and connection permissions are not verified. This prevents pulling compliance sample library data.
How to confirm correct configuration
- Call the configured interface, check whether the
Authorizationheader is correctly carried, and confirm that the returned response status code is 200. - View the
responseDatafield in the interface return, and confirm that it includes core data such as review rules and appeal records required for this category. - Test the data pull function, compare the number of locally stored rules with the number of items returned by the interface, and confirm that it matches the current business scenario requirements.
- Simulate an interface call failure scenario, and check whether the preset retry mechanism and exception log reporting function are triggered.
The values given are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.