What data looks like for this category
Data for this category comes from government information disclosure platforms, official archive systems, document management systems, departmental business ledgers, and relevant government information disclosure specifications. Commonly processed documents include government information disclosure application forms, supplementary notice letters, third-party opinion solicitation letters, reply letters, service receipts, and administrative appeal response materials. Data updates have no fixed cycle. New content is generated as individual applications and review processes advance. Each data entry includes fields such as applicant information, application items, material number, public attribute judgment result, and reply content. It must be linked to corresponding business ledgers and archive numbers.
What constraints these characteristics impose on HTTP interfaces and external systems
Data sources for this category are scattered and formats are inconsistent. Interfaces must support multi-source data pulling and format adaptation. Data updates have no fixed cycle. Interfaces must support on-demand triggering. Each data entry is linked to multiple types of business documents. Interfaces must support batch associated queries and field mapping. Materials involving third-party rights and administrative relief require interfaces to support permission verification and sensitive data desensitization. Individual case handling processes have clear sequential steps. Interfaces must match the call timing of business processes to avoid cross-step data confusion. Government systems have strict data security requirements. Interfaces must limit the transmission scope of sensitive information.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer-prefixed token with 600-second validity | Complies with government system interface authentication specifications, reduces token leakage risks |
variables | JSON object encapsulating business fields such as application number and applicant information | Meets dynamic parameter transfer requirements for individual case handling |
responseData | Only returns core fields including approval status, material number, and reply document number | Reduces data transmission volume, adapts to government network bandwidth restrictions |
| Timeout setting | 300–600 seconds | Matches average file review processing duration, prevents mid-process interruptions |
| Sensitive data desensitization | Automatically blocks identity card numbers and contact information fields | Complies with government data security management requirements |
| Interface call frequency | No more than 10 calls per minute | Adapts to the concurrent load limit of government systems |
Three common mistakes
- When calling the interface, a
400 Bad Requestresponse is returned, prompting a parameter format error. The cause is failure to encapsulate thevariablesparameter as a valid JSON object. - A connection failure occurs when attempting to switch the HTTP interface to HTTPS access. The cause is failure to configure a valid SSL certificate and port mapping in the FastGPT v4.17.0 system settings.
- The number of results returned when retrieving the conversation record list does not match expectations. The cause is failure to correctly set the offset parameter and match it with pagination logic.
How to confirm proper configuration
- Call the authentication interface. A
200 OKstatus code is returned, confirming that theAuthorizationconfiguration is effective. - Pass preset
variablesbusiness parameters. After triggering the interface call, confirm that the returnedresponseDataincludes correct core business fields. - Simulate a complete file review process. Call the interface to pull data and submit the review, confirming that no data misalignment occurs in process steps.
- Check the interface logs. Confirm that the call frequency does not exceed the preset limit, and there are no frequent error records.
The values provided 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 2026-09-28.