What This Category of Data Looks Like
Data for this category primarily comes from local public data opening platforms, integrated big data platforms, departmental business databases, and electronic certificate repositories. The update frequency is monthly. Daily maintained documents include public data resource catalogs, data opening lists, data item descriptions, anonymization rules, interface documents, and update frequency descriptions. Data fields include data item name, data format, anonymization rules, opening conditions, update cycle, interface address, and more. Data is stored in structured format and must comply with government data security and compliance requirements.
What Constraints Do These Characteristics Impose on the "HTTP Interfaces and External Systems" Link?
The monthly update frequency requires interface calls to adapt to scheduled task scheduling, to avoid frequent requests exceeding call limits of government platforms. Multiple data sources require interfaces to support different return formats, with unified structured field extraction via configuration. Anonymization rules require passing corresponding anonymization identifiers during interface calls, to ensure returned data meets security requirements. Data volume limits require that the number of records pulled per interface request not be too large, to avoid exceeding response thresholds.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request timeout | 600 seconds | Public data interfaces typically have high response latency; this duration covers most normal requests |
| Retry count | 3 times | Government interfaces may have occasional fluctuations; limited retries can improve call success rate |
| Batch pull quantity | First 50 entries | Avoid timeout caused by excessive single request data volume, and align with the single processing scale for ledger summary |
Authorization | Bearer ${secret_key}, obtain the secret key from the government data platform | Complies with general security authentication specifications of local public data opening platforms |
variables | Include data catalog ID and anonymization rule identifier, value range is 1-10 | Adapt to data catalog call requirements of different departments, improving configuration flexibility |
responseData | Extract anonymized structured fields, filter non-compliant data | Ensure returned data meets compliance requirements for government data opening, preventing sensitive data leaks |
Three Common Configuration Mistakes
- Symptom: After calling a public data opening interface, the returned content cannot be parsed into structured ledger data, and the interface displays empty fields. Cause: No structured field extraction rules specified in the
responseDataconfiguration, resulting in unprocessed unstructured returned content. - Symptom: When accessing via the application API interface, the interface prompts "Failed to fetch", and logs show connection timeout. Cause: No reasonable request timeout configured, and the response latency of the public data interface exceeds the preset threshold, causing connection interruption.
- Symptom: When calling the model to query data catalog information, the actual token consumption is inconsistent with the token returned by the API. Cause: No sensitive fields filtered in the
responseDataconfiguration, resulting in additional sensitive data being passed to the model, increasing token consumption.
How to Confirm the Configuration Is Complete
- Send a single test request, check if the returned
responseDatacontains the expected structured data fields, with no sensitive data leakage. - Check if the
Authorizationparameter carries the correct authentication token, simulate a request and confirm a 200 status code is returned, indicating successful authentication. - Adjust the data catalog ID parameter in
variables, verify that the return results of data catalogs from different departments meet expectations. - Run a scheduled scheduling task, confirm that the monthly automatically updated ledger summary data is correctly generated and stored.
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.