What data for this category looks like
Data sources for this category include Manufacturing Execution Systems (MES), online testing equipment, laboratory test results, process parameter libraries, customer quality standards, and historical defect records. Data is collected continuously per production batch and shift cycle. Daily produced documents include control plans, inspection records, SPC statistical reports, finished product inspection reports, nonconforming product review forms, finished product release forms, and quality monthly reports. Data fields include inspection item parameters, test values, judgment results, batch numbers, defect types, and rectification records. Some fields must match process tolerance ranges and customer acceptance standards.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
Data sources for this category are scattered and have significantly different update rhythms. Interfaces must adapt to the authentication rules and data formats of multiple systems, and avoid hardcoding to adapt to a single data source. There are various daily document types and inconsistent field structures. Interfaces must support dynamic field mapping to adapt to parameter transfer for different documents such as control plans and inspection reports. Data related to finished product release requires strict permission verification. Interfaces must bind role-level access control to prevent unauthorized data tampering. Data updates cover batch to real-time collection. Interfaces must be configured with reasonable polling intervals and timeout thresholds to avoid repeated pulling or missing key batch data.
How to set configurations
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
Authorization | Bearer {system-assigned API key} | Complies with authentication specifications of most external systems, and adapts to interface requirements of MES and testing equipment |
variables | {"batchNo": "{{batch_no}}", "inspectResult": "{{inspect_result}}"} | Matches the core fields of batch and inspection results for this category, enabling dynamic parameter transfer |
responseData | Extract only the status, message, and data fields | Filters redundant data, and adapts to the quality data verification logic of this category |
| Batch submission threshold | 10-20 items/request | Adapts to the batch processing needs of shift-by-shift inspection records for this category, avoiding interface overload |
| Interface timeout period | 30-60 seconds | Adapts to collection delays of laboratory test data, preventing timeout interruptions of data synchronization |
Three common mistakes
- Phenomenon: A large number of backslash escape characters appear in the JSON data carried by HTTP requests when transferred to external systems. Cause: The request body was not properly serialized, and directly concatenating the original JSON string caused format abnormalities.
- Phenomenon: A 401 Unauthorized error is returned when calling the interface. Cause: The
Authorizationparameter was not configured correctly, or an expired API key was used, failing to pass the authentication verification of the external system. - Phenomenon: The file relative path returned by the interface includes an additional token parameter, which cannot be parsed normally by the Flask service. Cause: The authentication token in the path was not stripped in the interface configuration, and directly passing the full path caused the external system to fail to recognize the valid file address.
How to confirm the configuration is complete
- Call the test interface, check if
responseDataonly returns the expected core fields with no redundant data. - Submit test data containing the standard fields of this category, confirm that the external system can correctly parse the parameters transferred via
variables. - Verify that the
Authorizationparameter was configured correctly, call the interface and return a 200 status code with no authentication errors. - Simulate batch submission of inspection records, confirm that the interface does not throw overload errors and data synchronization proceeds normally.
The values given are common starting points and should be measured against the reader's own samples.