What data for this category looks like
Data sources for quality traceability in metal cutting machining include product drawings and 3D models, CAPP/CAM, machine tool collection systems, tool management systems, MES, and measuring tool data. Daily documents cover process routes, operation cards, tool lists, CNC programs, first-piece inspection records, patrol inspection forms, and measuring tool calibration records. Data updates are triggered per work order, per piece, during sampling inspection, or upon tool replacement, involving fields such as process dimensions, tool wear amounts, and machine tool operating parameters, with units including millimeters, revolutions per minute, hours, and others.
What constraints do these characteristics impose on the "HTTP Interfaces and External Systems" link
Multi-source heterogeneous data sources require interfaces to support custom authentication and multi-parameter adaptation to different external system return formats. The high-frequency update rhythm requires interfaces to support batch pulling or event push mechanisms to avoid repeated requests for single pieces of data. Diverse document types require interfaces to adapt to parameter transmission in different formats, such as binary streams for CNC programs or structured data for operation cards. Defect analysis requires associating multi-dimensional data, so interfaces need to support precise queries by work order ID, tool number, and other identifiers to ensure complete traceability links.
How to set configurations
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {system_access_token} | Complies with authentication specifications of external systems, ensuring interface access security |
variables | {"work_order_id": "string", "tool_serial": "string", "inspection_date": "string"} | Matches core query dimensions for metal cutting machining, covering three core data types: work orders, tools, and inspection records |
responseData | {"code": 200, "data": {}, "message": "string"} | Adapts to general RESTful interface return formats, facilitating abnormal status identification |
| Request timeout | 30 seconds | Matches the real-time response requirements of machine tool collection data, avoiding long-term blocking of processes |
| Batch query limit | Top 15 entries | Balances data transmission load and information integrity for defect analysis |
| Single request data limit | 1000 KB | Adapts to transmission size requirements for documents such as CNC programs and operation cards |
| Request retry count | 3 times | Balances interface call success rate and resource consumption |
Three common errors
- An interface returns a 401 Unauthorized status code. The cause is that the
Authorizationparameter is not configured correctly, and an expired or invalid authentication token is used. - The interface returns an empty result field. The cause is that correct core dimension parameters for metal cutting machining are not passed in
variables, such as work order ID or tool number, causing the external system to fail to match corresponding data. - The OneApi page fails to load. The cause is that cross-domain access rules for the interface are not correctly configured after deployment, causing the browser to block requests from the external system, or page parsing fails due to failed format verification of
responseData.
How to confirm the configuration is complete
- Call the configured interface, pass a test metal cutting work order ID, and check that the returned
responseDatacontains expected operation card and tool wear data. - View the authentication logs for the
Authorizationparameter, confirm that the interface request is normally received and verified by the external system. - Simulate high-frequency calls after tool replacement, check that interface response times meet preset timeout settings, with no frequent timeout errors.
- Compare raw data returned by the external system with the parsed
variablesparameters from the interface, confirm that field mapping is correct.
The values provided are common starting points and should be measured against the reader's own samples.