What this category of data looks like
Typical data sources for this category include elderly care service information platforms, civil affairs statistics systems, fire safety inspection records, and institution operation ledgers. Daily associated documents include filing materials, operation subsidy applications, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Data updates follow a monthly rhythm. Core fields include the institution’s unified social credit code, filing number, actual number of beds, inspection date, and rectification completion status. Units for some fields include beds, person-times, and similar units.
Constraints imposed by these characteristics on HTTP interfaces and external systems
Monthly batch data updates require interfaces to support both full data pull and incremental synchronization modes, to avoid timeouts caused by excessive load in single requests. Differences in field formats across multiple data sources require interfaces to have flexible configurable field mapping rules, to adapt to naming variations returned by different department systems. Structured transmission requirements for documents such as filings and subsidy applications require interfaces to support batch submission of form parameters. Authentication requirements differ across collaborating departments, so space must be reserved to support multiple Authorization configurations. Additionally, the time-consuming nature of data verification requires interfaces to set reasonable timeout thresholds, to prevent interruptions of long-running requests.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Configure in Bearer Token format as required by the connected system, for example Bearer ******** | Elderly care-related supervision systems typically use standard HTTP authentication to ensure data security |
variables | Configure institution filing numbers and inspection cycle ranges as input parameters, with a value range of 1–20 institution codes | Dynamic replacement of request parameters via variables during batch processing of multi-institution data, to adapt to batch verification needs |
responseData | Specify extraction of institution information fields under the data array, for example data[*].orgName, data[*].bedCount | Adapt to the standardized data structure returned by elderly care service platforms, simplifying subsequent business processing logic |
| Request timeout | 600 seconds | Monthly batch data pulls take a long time; avoid short timeouts that interrupt requests |
| Request retries | 2–3 times | Address temporary fluctuations in interfaces from fire safety and market supervision departments, reducing the need for manual intervention |
Three common configuration errors
- Phenomenon: Interface request logs do not print input parameter details, making it impossible to troubleshoot parameter transfer errors. Cause: Global logging for request parameters is not enabled, so abnormal input parameters cannot be located during debugging.
- Phenomenon: HTTP response value extraction fails, making it impossible to retrieve institution bed data. Cause: The
responseDataextraction rule is misconfigured, with the top-level array mistakenly treated as a business data field. - Phenomenon: Input parameters are fixed during batch requests, making it impossible to adapt to multi-institution verification needs. Cause: Dynamic input parameters are not configured using
variables, and only the filing number of a single institution is hardcoded.
How to verify correct configuration
- Send a single test request, review the original interface response content, and confirm that the
responseDataconfiguration correctly extracts the target fields. - Call a batch request that uses
variables, confirm that each input parameter instance is properly replaced in the request chain. - Simulate an interface timeout scenario, verify that the request retry mechanism triggers according to the configured settings, to prevent workflow interruptions from single exceptions.
- Check that the
Authorizationconfiguration matches the authentication requirements of the connected system, to ensure requests pass identity verification.
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.