What Data for This Category Looks Like
Data sources for this category include customer drawings, special characteristic lists, ERP/MES systems, measurement and inspection tools, equipment process parameters, and supplier quality certificates. Daily generated documents cover control plans, process flowcharts, work instructions, first article and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data update frequency follows per batch, per shift, or continuous collection. Fields include special characteristic numbers, process parameter thresholds, batch quantities, non-conforming product rates, equipment numbers, and other relevant fields. Units use industry standard units such as millimeters, newton-meters, parts per hour, and similar units.
Constraints on HTTP Interfaces and External Systems
Multi-source data docking requires interfaces to support simultaneous connection to multiple external systems such as ERP, MES, and measurement and inspection tools. It requires compatibility with different systems' return formats and authentication rules. High-frequency updated production data requires interfaces to have low-latency response capabilities to avoid blocking production processes. The strong constraint characteristics of document fields require interface request parameters to strictly match preset fields. Missing or mismatched fields will trigger quality audit failures for vehicle customers. The dynamic nature of batch production requires interfaces to support binding dynamic parameters to adapt to personalized data collection requirements for each production batch.
How to Configure
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Carry a Bearer token with a 1-hour validity period | Standard interface authentication requirements for connecting shop floor ERP/MES systems |
variables | Bind batch numbers and process IDs as dynamic parameters | Adapt to dynamic data collection and document generation for each production batch |
responseData | Parse as a structured JSON array | Match the batch statistical data format of SPC reports and 8D reports |
| Timeout setting | 30–60 seconds | Adapt to normal response delays for equipment parameter collection |
| Request frequency limit | No more than 5 times per 10 seconds | Avoid exceeding interface quotas of shop floor MES systems |
Three Common Configuration Mistakes
- Phenomenon: After the HTTP component parses boolean-type data, the condition judgment component returns a null value. Cause: The boolean value returned by the interface is parsed as a string format. The condition judgment component cannot recognize non-standard boolean-type parameters.
- Phenomenon: The interface call returns the
getaddrinfo ENOTFOUNDerror. Cause: Correct domain name resolution for internal shop floor systems is not configured, or network security policies restrict production network segments from accessing external interfaces. - Phenomenon: Significant differences exist between online chat and API call results. Cause: The API call does not correctly configure structured parsing parameters for
responseData. This leads to returning raw unorganized text content, which cannot generate standardized process document and exception report data.
How to Verify Proper Configuration
- Send a test request, check the FastGPT interface log, and confirm that
responseDatacontains expected fields such as special characteristics and batch quantities. - After configuring
variablesdynamic parameters, submit test data with different batch numbers to verify if the interface correctly carries corresponding parameters to generate documents. - Simulate abnormal working conditions to trigger an interface call, check that the
Authorizationauthentication token is valid, and confirm the interface returns compliant exception report content. - Check interface call statistics, confirm that the request frequency does not exceed the preset limit of 5 times per 10 seconds, and that there are no timeout or parsing failure records.
The values provided are common starting points and should be evaluated against the reader's own samples.