What this category of data looks like
Core data for this category includes production process specifications, batch production records, clean zone records, sterilization batch records, inspection reports, software version records, adverse event and traceability materials. Data sources include design history files, device and material lots, MES systems, clean environment monitoring equipment, sterilization equipment, inspection and calibration systems. Data update frequency is once per batch or per product. Clean environment data is updated regularly per monitoring plans. Data fields include device unique identifiers, material lot numbers, sterilization parameters, cleanliness values, software version numbers, and more. These must meet full-process traceability requirements.
What constraints these characteristics impose on HTTP interfaces and external systems
Data for this category must meet full-process traceability and compliance requirements. Interfaces must support authentication checks to prevent unauthorized access to sensitive production data. The multi-source data collection feature requires interfaces to support pulling data by batch or by zone, adapting to batch-by-batch or regular update rhythms. Complex document structures and dedicated business fields require interfaces to define clear field mapping rules to avoid data misalignment. Data errors can lead to serious consequences such as sterile product failure and traceability failure. Interfaces must add field integrity checks to ensure required fields are not missing.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Carry Bearer Token with a 15-minute validity period | Complies with authentication compliance requirements for medical device production data, prevents unauthorized access |
| Single request limit | Top 10 entries | Adapts to the typical number of entries in a single batch production record, avoids overload from single requests |
responseData | Return only required fields such as device unique identifier, sterilization batch, cleanliness value | Reduces invalid data transmission and improves interface response efficiency |
| Timeout period | 600 seconds | Adapts to collection delays for sterilization and clean monitoring data, prevents premature request termination |
variables | Bind production batch number and clean zone number variables | Accurately match the inspection and maintenance knowledge base content for the corresponding batch |
| Request retry count | 3 times | Adapts to network fluctuations in production environments, reduces the probability of data transmission failure caused by temporary interruptions |
Three common mistakes
- Phenomenon: Garbled characters appear when uploading production records via API, web page, or file upload.
responseDatareturns empty values or unexpected characters. Cause: The correct character encoding format is not specified, and the UTF-8 encoding rule commonly used for medical device documents is not matched. - Phenomenon: The inspection and maintenance results returned by API calls differ significantly from those from online chat. Cause: Business
variablessuch as production batch number are not passed to the interface, causing the knowledge base to match documents that do not fit the current production scenario. - Phenomenon: Container registration error occurs when upgrading FastGPT v4.17.0. Cause: The batch production record dataset is not backed up in advance, and running external system integration tasks are not stopped.
How to confirm the configuration is complete
- Initiate a test request and check if the fields returned by
responseDatainclude required items such as device unique identifier and sterilization batch. - Call the interface to upload a batch of clean zone records, verify that the returned status code is 200 and there is no garbled character issue.
- Compare the results from online chat and API calls, confirm that the production batch number and clean zone number bound by
variablesare consistent. - Simulate a network interruption and retry the request, verify that the retry mechanism is triggered normally and data transmission is completed.
The values provided are common starting points and should be measured against the reader's own samples.