What data for this category looks like
Data for this category comes from manufacturing enterprise MES systems, online inspection equipment, laboratory systems, process parameter databases, customer quality standard libraries, and historical defect libraries. Data is collected continuously alongside production batches and work shifts, covering all process quality-related documents from work-in-progress to finished products. These include control plans, patrol inspection records, SPC reports, finished product inspection reports, nonconforming product review forms, release forms, and monthly quality reports. Data fields include inspection item parameters, test values, judgment results, exception types, batch information, and responsible person identifiers. Some fields must match the unit requirements specified by customer standards.
What constraints these characteristics impose on HTTP interfaces and external systems
Dispersed data sources requiring integration with multiple external systems require interfaces to support pulling data from multiple sources and adapting to different formats. The high-frequency continuous update rhythm requires interfaces to have low latency and high concurrent processing capabilities to avoid disrupting production cycles. The diverse document types and complex field structures require interfaces to support dynamic parameter matching to meet the field requirements of different document templates. The requirement to associate data with batches and responsible persons means interfaces must carry unique identifiers during transmission to ensure data traceability. Additionally, exception reports and release forms involve quality judgment permissions, so interfaces must carry verification information to ensure the legitimacy of calls.
How to configure settings
The following configuration items apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Fixed bearer-prefixed secret | Matches the interface authentication requirements of external systems to ensure call legitimacy |
variables | Key-value pairs containing batch number, inspection type, and customer standard ID | Adapts to dynamic field filling requirements for multiple types of quality documents |
responseData | Field set mapped according to quality document templates, including exception level and isolation scope | Ensures returned data can be directly used for generating exception reports and release forms |
| Interface timeout threshold | 600 seconds | Accommodates collection delays for laboratory test data to avoid interrupting data pulls due to timeouts |
| Concurrent request limit | First 20 entries | Matches the daily inspection batch processing volume per work shift to avoid exceeding external system load limits |
| Single data pull limit | 800–1200 characters | Matches the length of single-batch inspection records to avoid data overload |
Three common configuration mistakes
- Symptom: The interface returns status code 403, and logs show authentication failure. Cause: The
Authorizationparameter is not configured correctly, and authentication information meeting external system requirements is not included. - Symptom: Generated exception reports have empty fields after calling the interface. Cause: Required fields such as batch number and inspection type are not configured in
variables, so dynamic filling items for document templates cannot be matched. - Symptom: Interface response time is significantly higher than that of direct calls to external systems, and responses are normal during curl testing. Cause: The interface timeout threshold is not set reasonably, or concurrent requests exceed external system load limits, causing queuing delays.
How to confirm configuration is complete
- Call the configured interface to pull inspection data for a known batch, and check whether the returned fields include preset content such as exception level and isolation scope.
- View interface call logs to confirm that the
Authorizationparameter is correctly carried, and no authentication failure errors appear. - Simulate batch interface calls, observe whether response times meet production cycle requirements, and adjust the concurrent request limit and timeout threshold.
- Compare the return results of direct calls to external system interfaces and calls via FastGPT to confirm data consistency.
The values given are common starting points and should be measured against the reader's own samples.