What This Category of Data Looks Like
FastGPT v4.17.0, data for this category originates from government portals, document management systems, government information disclosure directories, policy document repositories, and press conference materials. The update frequency is daily. Daily documents include policy documents, policy interpretation drafts, public disclosure directories, information release approval forms, press releases, and website column update records. Data fields include document title, document number, publishing entity, release time, disclosure attribute, secrecy level, column affiliation, and others. Some documents include image and text attachments. The overall structure follows government disclosure specifications, with no custom non-standard fields.
Constraints Imposed on HTTP APIs and External Systems
The daily update frequency requires APIs to support high-frequency calls without delayed blocking, and adapt to batch synchronization scenarios. Government documents include secrecy and disclosure attribute fields. APIs must support pre-validation of sensitive information to avoid accidental public release. Data formats vary across multiple sources. APIs must support standard formats exported from document management systems and structured data from government portals. Multiple column synchronization requirements mean APIs must support specifying column affiliation parameters, eliminating the need for manual maintenance of publishing channel differences. At the same time, disclosure attribute and approval status must be required validation items, ensuring only content that has passed review can be published externally.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| API timeout period | 600 seconds | Adapts to the time required for batch synchronization of government documents, avoids interruptions from large file transfers |
Request header Authorization | Bearer prefix plus fixed secret key | Complies with security verification specifications for government system APIs, prevents unauthorized access |
| Batch push batch size | 50 items per request | Matches the average scale of daily updated data volume, reduces API call pressure |
| Image and text attachment handling | Maximum 1000 MB | Adapts to the upper limit of image and text attachment sizes included in government documents, avoids transmission failures |
| Return result validation | Validate existence of the responseData field | Ensures API returned data is complete, avoids publishing issues caused by null values |
| Variable binding rule | Bind the variables parameter to document attributes | Automatically fills fixed fields of government documents such as document number and publishing entity |
Three Common Mistakes
- An API fails to parse incoming JSON parameters after an HTTP request is sent, and returns a parameter error prompt. The cause is failure to correctly set the
Content-Typefield in the request header, which prevents the API from recognizing the request body format. - Importing documents with non-standard formats after modifying their file extensions results in no parsed output. The cause is failure to adapt to the fixed structure of government documents; general parsing logic alone cannot extract valid content.
- The dataset created via the API has inconsistent fields compared to the dataset created via the web interface. The cause is failure to specify correct field mapping rules via the
variablesparameter, leading to discrepancies between automatically parsed fields and expected values.
How to Verify Successful Configuration
- Call the test API with a standard government document sample, check if the
responseDatafield contains the expected document fields. - After configuring the
Authorizationsecret key, send an unauthorized request, confirm the corresponding status code is returned to verify that security validation is active. - After configuring the batch push batch size, send test data, confirm the API automatically splits batches for pushing.
- After binding the
variablesparameter to a specified column ID, send a synchronization request, log in to the publishing backend to confirm content has been pushed to the corresponding channel.
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.