What this category of data looks like
Typical data for this category comes from design history files, device and material batches, MES, clean environment monitoring systems, sterilization equipment, and inspection and calibration systems. It regularly links to production process specifications, batch production records, clean zone records, sterilization batch records, inspection reports, software version records, adverse event and traceability materials. Data updates run per batch or per product. Clean environment monitoring data updates follow a fixed monitoring plan. A single traceability data entry includes fields including unique device identifier, material batch number, sterilization parameters, clean zone temperature and humidity records, inspection results, and software version. It ties tightly to a single batch production workflow.
What constraints these characteristics impose on HTTP interfaces and external systems
Data for this category ties tightly to single batch production, and sources are scattered across multiple types of production and monitoring equipment. This requires HTTP interfaces to support on-demand or bulk pulling of data linked to a single batch. Data update frequency aligns with production schedules. Interfaces must support both scheduled calls and real-time triggering modes. Data includes core fields such as unique medical device identifiers. Interfaces must support passing precise filter parameters to locate target data. Additionally, data links to patient safety risks. Interface calls require identity verification and transmission encryption to prevent data leaks or tampering. This page is compatible with FastGPT v4.17.0.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer ${encrypted service account key} | Identity verification when connecting to external production systems, ensuring access security for core production data |
variables | Preset batch query range: 2024-01-01 to 2024-12-31 | Limit the time interval for interface queries, avoiding returning excessive historical production data |
responseData | Return only device UDI, material batch number, sterilization parameters | Simplify returned fields to meet core data extraction needs for quality traceability |
| Request timeout | 30 seconds | Adapt to transmission delays of clean environment monitoring data, preventing timeout interruptions for bulk queries |
| Retry strategy | Retry 2 times after failure, 5-second interval | Address temporary network fluctuations, ensuring complete pulling of production data |
| Bulk request limit | Pull up to 50 batch data entries per request | Match the number of records for single batch production, avoiding interface overload |
Three common mistakes
- Symptom: SSL certificate verification fails when calling the interface of an external clean environment monitoring system. Logs show "incomplete certificate chain". Cause: SSL certificate path and protocol version are not correctly configured in Nginx, and insecure TLS protocol versions are not disabled.
- Symptom: A 404 status code is returned for POST requests when running the FastGPT upgrade script. Logs show
POST /api/admin/initv4818 404. Cause: The FastGPT API interface path is not correctly mapped to the Nginx reverse proxy configuration, or the request address in the upgrade script does not match the deployment path. - Symptom: Pulled batch production record data fields are empty, and cannot be linked to the corresponding production batch. Cause: The correct
variablesquery parameter is not specified in the interface configuration, so the batch unique identifier is not passed as a filter condition.
How to confirm configuration is complete
- Call the test interface, check if the returned
responseDataincludes the preset core business fields, and verify that the data extraction logic meets requirements. - Send a request with invalid authentication information, confirm that the interface returns the corresponding authentication failure status code, and verify that the
Authorizationconfiguration takes effect. - Simulate a temporary network interruption to trigger an interface call failure, and verify that the retry operation is performed according to the preset strategy.
- Check the interface call logs, confirm that the request frequency complies with the access restriction requirements of the external system, and matches the production data update schedule.
The values provided are common starting points and should be measured against the reader's own samples.