Data Profile for This Category
Data for this category typically originates from CAD/CAM software, order BOM systems, sheet metal inventory ledgers, laser cutter and bending machine device logs, and MES manufacturing execution systems. Daily produced documents include 3D part unfolding drawings, CNC cutting programs, bending process cards, nesting diagrams, first-piece inspection records, and process transfer cards. Update frequency adjusts based on order generation, daily inventory counts, and production changeovers. Common document fields include unfolded dimensions, bending compensation values, sheet metal thickness, order batch numbers, and additional parameters. Most units use millimeters or standard production identification numbers.
Constraints for HTTP Interfaces and External Systems
This category has scattered data sources and frequent updates. HTTP interfaces must support heterogeneous data formats across multiple systems to prevent transmission failures from field mismatches. Document structures vary significantly across different production scenarios. Interfaces must support targeted validation of core fields such as unfolded dimensions and bending compensation values to block invalid data from entering the review workflow. Frequent order and production changeover updates require interfaces to have stable concurrent processing capabilities. Reasonable timeout thresholds must be set to avoid blocking production links during long wait times. Data directly correlates to production waste. Interfaces must ensure data is not altered during transmission to preserve the accuracy of review results.
Configuration Guidelines
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Carry a Bearer token with a 7-day validity period | Meet the interface authentication requirements of external systems, avoid frequent token refreshes that disrupt call stability |
| Request timeout | 30–60 seconds | Cover full parameter validation and data synchronization time for sheet metal cutting and bending documents, calibrated via actual testing |
variables | Bind three core fields: unfolded dimensions, bending compensation values, and sheet metal thickness | Match the fixed data structure of documents for this category, ensure valid business parameters are passed during interface calls |
| Response data filtering | Only retain fields related to nesting diagrams and bending process cards that pass validation | Reduce invalid data transmission and lower parsing pressure on external systems |
responseData | Configure to return two fields: validation results and list of abnormal fields | Clearly deliver review results, facilitate external systems to trigger subsequent production adjustment processes |
| Response data size limit | No more than 1000 MB | Adapt to the interface transmission limits of external systems |
Common Configuration Errors
Three frequent configuration issues are as follows:
- Symptom: The interface returns a connection refused error. Cause: The IP address of the external system was not added to FastGPT's access whitelist, or the interface port is not open to public access.
- Symptom: The HTTP request parses parameters correctly, but the external system does not perform the corresponding action. Cause: The unique bending compensation value field for this category was not bound in the
variablesconfiguration, resulting in missing business parameters passed by the interface. - Symptom: The review result field returned by the interface is empty. Cause: No return field mapping rules were configured for
responseData, so FastGPT cannot correctly extract review data returned by the external system.
How to Verify Successful Configuration
- Use the FastGPT built-in interface debugging tool, manually input typical document parameters for sheet metal cutting and bending, and check if the
Authorizationfield carries a valid authentication token. - Simulate a production changeover scenario, trigger an interface call, and confirm that the external system receives all fields bound via the
variablesconfiguration. - Review FastGPT interface logs to verify that the fields returned in
responseDatamatch the configured filtering rules. - Submit test data containing abnormal bending compensation values, and check if the interface returns corresponding exception prompts.
The values provided are common starting points and should be measured against the reader's own samples.