Data for This Category
Data for this category comes from product digital models and GD&T, process routes, coordinate measuring machine data, on-site trial feedback, and metrology systems. Daily generated documents include fixture requirement documents, positioning datum schemes, fixture drawings, gauge operation manuals, acceptance reports, calibration records, and change histories. Data updates trigger via project milestones, each product change, or regular calibrations. Each document contains fields such as positioning datum parameters, interference verification results, and calibration validity periods. Most field units are millimeters, newtons, or calibration cycle days.
Constraints on HTTP Interfaces and External Systems
Data sources for this category are scattered, requiring integration with external systems such as coordinate measuring machines, metrology tools, and product digital model management platforms. Interfaces must support multi-source data pulling and field filtering. Data updates have no fixed cycle, so interfaces must support on-demand synchronization triggering or scheduled pulling based on project milestones. Each document contains multi-dimensional parameters, so interfaces must support field formats for different document types to avoid data parsing errors. Data abnormalities can directly lead to machining deviations or gauge misjudgments, so interfaces must add parameter verification and exception capture logic to ensure the accuracy of data transmission.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization configuration | Carry a Bearer-format access token | Aligns with API security standards for most industrial systems, ensuring interface call permissions |
variables parameter configuration | Pass business variables such as fixture numbers, calibration dates, and product digital model versions | Achieves parameter isolation for parallel calls across multiple projects, preventing data mixing between different projects |
responseData field configuration | Only extract target business fields such as acceptance reports, calibration records, and positioning datum schemes | Reduces invalid data transmission and simplifies the parsing process for downstream systems |
| Request timeout | 30-60 seconds | Adapts to the typical time range for coordinate measuring data pulling and process document generation |
| Field mapping rules | Map according to the field standards of product digital models and GD&T | Ensures incoming business data matches the document format for fixtures and gauges |
Three Common Configuration Mistakes
- Incorrect return parameter format when calling the interface: the
variablesfield is empty or does not match the preset structure. This occurs because variables such as fixture IDs and calibration cycles are not passed in accordance with the parameter format specified in the business document, causing external systems to fail to recognize the request content. - The interface call returns a 504 timeout status code. This occurs because the set timeout period is too short, failing to adapt to the time required for coordinate measuring data pulling or complex document generation.
- The response data contains a large amount of redundant system metadata, with no target process document content extracted. This occurs because the
responseDataconfiguration is not used to specify the business fields to be returned, resulting in the return of full interface data.
How to Verify Correct Configuration
- Call the test interface, check whether the
Authorizationheader correctly carries a valid token, and confirm that a 200 status code is returned. - Pass test
variablesparameters, confirm that the external system can correctly recognize and return process document data for the corresponding project. - View the response content, confirm that only the preset
responseDatafields are included, with no redundant system metadata. - Simulate a long-running request, confirm that the timeout setting meets business time requirements and no interruptions are triggered.
The values provided are common starting points and should be measured against the reader's own samples.