Policy and Regulatory Basis Q&A for Public Data Catalogs and Openness: HTTP Interfaces and External Systems

Policy and Regulatory Basis Q&A for Public Data Catalogs and Openness: HTTP Interfaces and External Systems

What Data in This Category Includes

Data in this category originates primarily from local public data open platforms, integrated big data platforms, departmental business databases, and electronic certificate repositories. Daily maintained documentation includes public data resource catalogs, data open lists, data item descriptions, desensitization rules, interface documents, and update frequency notes. Data update frequency is monthly. Core fields include data item identifiers, open permission boundaries, desensitization standards, external interface addresses, and update cycles. All content must match actual deployed public data assets, with no redundant or incorrectly associated entries. This category focuses on structured data assets and authorization boundaries for external interfaces, and is distinct from unstructured public texts found in government disclosure documents.

Constraints for HTTP Interfaces and External Systems

The monthly update requirement means interface calls must use a strategy combining low-frequency full synchronization and high-frequency incremental queries, to avoid resource waste from repeated full data pulls. Multiple data sources and multi-format documents require interface request parameters to accurately match data item identifiers, to filter irrelevant returned content. Binding of desensitization rules and open permissions means interface calls must carry valid authorization credentials, and returned data must automatically match preset desensitization rules. Differences in interface document formats across departments mean external systems must use unified parameter parsing logic to adapt to different return structures, preventing call failures due to format incompatibility. Daily data item sorting work requires interface calls to support precise queries by data item, to avoid resource waste from full data pulls.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended ValueRationale
AuthorizationFill in the authentication token assigned by the public data platformComplies with authentication specifications for public data open interfaces, passes identity verification
Request timeout30-60 secondsAdapts to typical response delays of public data interfaces, prevents forced termination of single requests
variablesPass data item codes and open permission identifiersAccurately filters target data, narrows the scope of returned results
Single return entry countTop 50-100 entriesMatches the pagination query logic of public data catalogs, controls single data transfer volume
responseDataConfigure as the valid data field path returned by the interfaceUniformly parses return formats from different data sources, reduces adaptation costs
Cache update cycle28 daysMatches the monthly update frequency, prevents mismatches between cached data and actual open data

Three Common Misconfigurations

  • Phenomenon: Interface calls return delays exceeding the preset timeout, or response speed in FastGPT is much lower than direct curl calls. Cause: Failed to adapt to the authentication process of public data interfaces, with extra verification steps increasing delay, or no reasonable timeout configured.
  • Phenomenon: Returned results are empty or contain large amounts of irrelevant data. Cause: Did not pass variables with precise data item identifiers, or did not configure correct parameter filtering rules.
  • Phenomenon: Returned data includes unsensitized sensitive information. Cause: Did not bind desensitization rule configurations for public data, or authorization credentials do not match the open permissions of the corresponding data.

How to Verify Successful Configuration

  • Run a local curl command with the configured Authorization header and variables parameters, to verify that the interface returns expected public data catalog content.
  • Initiate a test query in FastGPT, check that the response time falls within the preset timeout range, with no obvious delays.
  • Review the desensitized fields in returned data, confirm that sensitive information has been processed according to rules, with no leakage risks.
  • Cross-check that the number of returned data entries matches the configured single return entry count, complying with pagination query rules.

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.