What Data for This Category Looks Like
Data for this category originates from CAD/CAM software, order BOMs, sheet metal inventory systems, laser cutters, bending machines, and MES systems. Daily outputs include unfolding drawings, CNC cutting programs, bending process cards, nesting diagrams, first-piece records, and process flow cards. Data updates trigger when orders are created, daily inventory checks run, or each production changeover occurs. The business operates on a multi-variety, small-batch model, with drawing-driven workflows as the core dependency. Key links include 3D part unfolding and bending coefficient compensation.
Constraints Imposed on HTTP Interfaces and External Systems
Data sources for this category are scattered, and update rhythms are flexible. HTTP interfaces must support real-time or near-real-time pulling from multiple data sources, and adapt to process documents and device logs in different formats. The multi-variety, small-batch business model means interfaces must accommodate dynamically changing order parameters and field structures, avoiding hard-coded fixed fields. Data validation must cover core fields such as unfolding drawing parameters and bending compensation values. This prevents erroneous data from entering subsequent traceability workflows, and avoids outcomes such as sheet material waste or assembly non-conformity.
Configuration Guidance
The following configuration guidance is written for FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Carry an authentication header in the format Bearer {token} | Complies with general API security standards, and adapts to permission verification logic of external systems |
variables | Pass dynamic fields such as order numbers, sheet metal materials, and bending coefficients | Adapts to differentiated business needs of multi-variety, small-batch workflows, and matches core parameters for sheet metal cutting and bending |
responseData | Extract fields such as hole position deviation, bending angle, and defect markers | Accurately obtains business data required for quality traceability, and filters out invalid information |
| Timeout setting | 600 seconds | Covers the conventional time required for process file parsing and device data pulling |
| Number of items per single request | 10–20 process records | Balances interface load and transmission efficiency, and adapts to parallel processing of multiple orders |
| Request content type | multipart/form-data | Supports mixed upload of drawing files and structured process data |
Three Common Configuration Errors
- A 400 invalid image error occurs when calling the interface to process sheet metal drawings. The cause is that the passed drawing file format is not supported, or the file content is corrupted.
- A general error is thrown during HTTP module execution. The cause is that the
Authorizationauthentication header is not configured correctly, causing the external system to reject the request. - Only single order data can be obtained when connecting to an external system. The cause is that pagination parameters are not passed in
variables, causing the interface to return only a single result.
How to Verify Successful Configuration
- Call the configured interface, and check whether the
responseDatareturned contains core business fields such as hole position deviation and bending angle. - Pass test order parameters and drawing files, and confirm that the interface returns a 200 status code and no
invalid imageerrors. - Check the external system's logs, and confirm that the
variablesparameters received fully match the preset business fields. - Initiate a batch request, and confirm that the interface can normally process batch data of 10–20 process records.
The values provided here are common starting points, and should be evaluated against the reader's own samples.