What This Category of Data Looks Like
Data sources for this category include the national integrated government service platform item database, administrative licensing item list, departmental business approval systems, and electronic certificate repository. The update frequency is daily. Documents processed daily include service guides, application forms, commitment letters, acceptance notices, correction notices, administrative licensing approval decisions, and license certificates. Data fields include item code, applicant subject information, material list, approval status, certificate number, and other relevant fields. Each licensing item has fixed legal handling conditions and statutory basis. The data structure strictly matches legal approval process nodes.
Constraints on HTTP Interfaces and External Systems
Data sources include government platform item databases and departmental business systems. The daily update requirement means interfaces must support full or incremental daily data synchronization. Interfaces must match government system authentication rules. Fixed legal field structure requires returned interface data to strictly align with legal fields. No non-legal fields may be omitted or added. The need to cross-departmentally retrieve electronic certificates means interfaces must support multi-system integration. System identifiers for corresponding departments must be passed. Data format must adapt to verification logic for legal handling conditions and statutory basis.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Use the service account key issued by the government system | Matches authentication rules of government department business systems |
responseData | Return only the legal field subset | Prevents approval verification failures caused by non-legal fields |
variables | Bind item codes and department identifiers | Enables accurate connection to corresponding departmental approval systems |
| Synchronization cycle | 2:00 AM daily | Matches daily data update frequency |
| Interface timeout | 600–1800 seconds | Adapts to time required for cross-departmental electronic certificate retrieval |
Three Common Configuration Mistakes
- The interface returns a 401 Unauthorized status code, and administrative licensing item data cannot be retrieved from government departments. The cause is failure to use the
Authorizationparameter specified by the government system, and authentication configuration does not comply with government system authentication rules. - The interface returns empty document data, and local service guides, application forms and other files cannot be read. The cause is failure to use an API script adapted to the local folder path, and the document import path is not correctly configured.
- When two FastGPT instances are deployed, interfaces cannot enable cross-instance knowledge base calls, leading to fragmentation of internal office processes. The cause is failure to correctly configure the
variablesparameter to bind the association between the knowledge base and the interface instance, and parameter association between the two instances is not established.
How to Confirm Configuration is Successful
- Call the configured interface, check that the returned
responseDataincludes legal fields such as item code and approval status, and confirm that the data format meets requirements. - View the interface synchronization log, confirm that the synchronization task is triggered at 2:00 AM daily, and the data update frequency matches the daily update requirement.
- Call the interface to pass the item code and department identifier bound by the
variablesparameter, and confirm that the interface is connected to the correct approval system. - Test interface timeout requests, confirm that cross-departmental electronic certificate retrieval operations are completed within 600–1800 seconds, with no timeout errors.
The values provided are common starting points and should be evaluated 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.