What This Category of Data Looks Like
The service subjects for this category are disease control institutions, medical facilities, public health departments, and disease control divisions of health commissions. Daily documents include infectious disease report cards, epidemic analysis reports, case correction records, clustered epidemic reports, and epidemiological investigation reports. Data sources are the Chinese Disease Prevention and Control Information System, medical institution HIS systems, infectious disease reporting systems, and laboratory testing systems, with daily updates. Document fields cover basic case information, diagnosis results, reporting time limits, correction information, and more. Units include dates, counts, test values, and more. Format requirements under statutory infectious disease reporting rules must be strictly followed.
What Constraints These Characteristics Impose on the HTTP Interfaces and External Systems Link
Multiple data sources require interfaces to support permission verification and data pulling from multiple external systems, to avoid permission conflicts during cross-system calls. The daily update frequency requires the interface call cycle to match the data synchronization rhythm, to prevent duplicate pulling or missed daily data. The strict format requirements for document fields mean interface parameters must cover all required fields, to avoid invalid reports caused by missing fields. Error consequences include delayed epidemic alerts and regulatory notifications, so interfaces must have failure retry and exception alert capabilities to ensure the accuracy and timeliness of data reporting.
How to Configure Settings
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
| API Key Configuration | Bind a dedicated Authorization key | Ensure permission security for external interface calls to disease control systems |
| Context Variables | Pass variables containing case ID and report date fields | Match the required field requirements of documents in this category |
| Response Data Processing | Extract policy reference-related fields from responseData | Filter invalid data and focus on regulatory content required for Q&A |
| Call Timeout Setting | 600 seconds | Adapt to the time consumption requirements of multi-source data pulling |
| Maximum Number of Retrieved Entries | Top 8 entries | Balance Q&A relevance and content completeness |
| Matching Threshold | 0.75 | Balance relevance and recall rate for policy reference Q&A |
Three Common Mistakes
- Issue: Returns a 400 status code when passing JSON-format parameters via an HTTP request, with a prompt indicating incorrect parameter format. Cause: The
Authorizationauthentication header was not set correctly, or the request body does not follow the JSON structure required by the interface. - Issue: The collection of infectious disease reports generated by the interface call does not match the collection data created in the interface, with deviations in field order or content. Cause: The correct CSV file field mapping rule was not configured in
variables, leading to misalignment during interface data parsing. - Issue: The policy reference returned by the Q&A does not match the queried infectious disease reporting rules, and the number of results exceeds expectations. Cause: The maximum number of retrieved entries was not limited, or the query statement was not optimized for the disease control business scenario, introducing irrelevant content.
How to Confirm Proper Configuration
- Call the interface with a test case ID and report date, check whether matching fragments of disease control policy documents are returned in
responseData. - View the interface call log to confirm that the
Authorizationauthentication header was correctly carried, with no 401 permission errors. - Generate a test CSV file and upload it via the interface, verify that the fields of the collection in the FastGPT v4.17.0 interface match the fields of the uploaded file.
- Simulate the call frequency of daily updated data, check whether the interface can normally pull and process newly added infectious disease report data, with no timeout errors.
The values given 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.