Proactive Public Disclosure and Policy Publication: Service Inquiry and Response – HTTP Interfaces and External Systems

Proactive Public Disclosure and Policy Publication: Service Inquiry and Response – HTTP Interfaces and External Systems

What this category of data looks like

This category of data mainly comes from government portals, document management systems, government information disclosure directories, policy document repositories, and press conference materials. Daily processed documents include policy documents, policy interpretation drafts, public disclosure directories, information release approval forms, press releases, and website column update records. The data update frequency is daily. Core processing links include judging file disclosure attributes and conducting confidentiality reviews, drafting policy interpretations and graphic-text materials, synchronizing multiple website columns and new media accounts. Data fields include document title, document number, publishing entity, disclosure attribute, release time, associated interpretation content, and so on. There are no additional custom statistical fields.

High-frequency daily updated data requires interfaces to support batch synchronization and breakpoint resumption, to avoid service interruptions caused by overload from single requests. Heterogeneous data from multiple sources must undergo unified format verification through interfaces, matching field rules such as disclosure attributes and confidentiality levels, to ensure published content complies with government affairs specifications. The need to synchronize multiple websites and new media channels requires interfaces to support multi-target address configuration, and retain complete request logs for release traceability. The requirement to associate policy interpretations and approval forms requires interfaces to support field association queries, ensuring consistent messaging for published content. The confidentiality review link requires interfaces to have built-in sensitive information interception verification, to prevent classified or sensitive data from being leaked via interfaces.

How to set configurations

Configuration ItemRecommended SettingRationale
AuthorizationCarry a service token issued by the government affairs systemUsed for interface identity verification to prevent unauthorized access
variablesBind fixed fields such as disclosure attributes and release channelsUnify context parameters for interface requests to ensure consistent release rules
responseDataVerify return codes and filter sensitive fieldsEnsure interface returned data complies with government affairs confidentiality and disclosure specifications
Request timeout period600 secondsAdapt to long-duration scenarios of multi-channel synchronization
Maximum data volume per single request1000 MBAdapt to the maximum single file size limit for government affairs documents
Interface call frequency limit10 times per minuteMatch traffic peaks during daily high-frequency updates

Three common mistakes

  • Phenomenon: Empty fields are returned after calling the interface, or a 401 status code is returned. Cause: The Authorization parameter is not configured correctly, or a token not issued by the government affairs system is used.
  • Phenomenon: After publishing the application, it cannot be called by external systems via the API. Cause: The interface external exposure permission is not enabled, or the correct variables context parameter is not bound.
  • Phenomenon: Interface calls frequently trigger current-limiting errors. Cause: A reasonable call frequency limit is not set, exceeding the traffic carrying capacity of the government affairs system.

How to confirm the configuration is correct

  • Using the FastGPT v4.17.0 platform, a test request containing the policy title and disclosure attributes is sent, and whether the fields returned by responseData include required items is checked.
  • The interface log is viewed to confirm that the Authorization parameter is correctly carried and verification is passed.
  • The daily update scenario is simulated, the interface is called to synchronize test data in batches, and the multi-channel synchronization function is verified to work properly.
  • Test data containing sensitive information is submitted, and the interface is confirmed to trigger sensitive information interception verification.

Note: The configuration values listed above are common starting points. They should be evaluated against specific samples and use cases relevant to the deployment environment.

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.