What data looks like for this category
Data for this category comes from customer drawings and special characteristic lists, ERP/MES systems, inline measuring tools, production equipment process parameters, and supplier quality certificates. Daily associated documents include control plans, process flowcharts, work instructions, first-piece and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data is collected and updated per batch, per shift, or continuously. Fields include batch number, process number, test parameter values, defect type codes, supplier information, and other items. Some parameters have fixed units, such as torque N·m and temperature ℃.
What constraints these characteristics impose on HTTP interfaces and external systems
Data for this category is sourced from multiple dispersed locations, has high update frequency, and includes parameters with fixed units. This requires HTTP interfaces to adapt to multi-system authentication methods, and support batch data pulling and pagination. Due to strict quality constraints from vehicle customers, interface return fields must strictly match the customer’s special characteristic list. No field units may be omitted or mismatched. High-frequency collected data generates significant traffic, so interfaces need to be configured with reasonable timeout and current limiting policies. Full call log recording is required for subsequent quality traceability and problem troubleshooting.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Authentication string in Basic Auth format, Basic base64(username:password) | Most workshop ERP/MES systems use this authentication method, and it meets the general security requirements for external systems in this category |
variables | Bind batch number and process ID as global variables, with values ranging from 1 to 20 characters | Data for this category is associated by batch, and global variables can uniformly pass batch identifiers and reduce repeated configuration |
responseData | Filter return fields to customer-specified special characteristic parameters, retain batch number, test values, and defect types | This category requires strict matching with the customer’s special characteristic list, reducing invalid data transmission and parsing overhead |
| Interface timeout period | 600 seconds | This category pulls multi-process test data in batches, and 600 seconds covers most response delays from workshop systems |
| Pagination offset parameter | Configure based on 10% of per-batch data volume, e.g., 100 entries per page | Per-batch test data volume for this category is moderate, and pagination avoids timeouts caused by excessively large single return data sets |
The above configurations are based on FastGPT v4.17.0.
Three common configuration errors
- Phenomenon: When calling the "Get Conversation Record List" interface, the corresponding relationship between AI replies and user questions cannot be distinguished. Cause: No session ID parameter is bound in the interface request, resulting in returned data not being grouped by session and unable to match corresponding content.
- Phenomenon: When batch-executing nodes via API calls, the process of cyclically calling the large model cannot be completed, while online debugging executes normally. Cause: The concurrency configuration of the batch execution node does not adapt to the traffic of high-frequency data collection in this category, and no retry mechanism is configured for API calls, resulting in mid-run interruptions.
- Phenomenon: Interface calls fail after configuring Basic Auth for the HTTP module, returning a 401 status code. Cause: The authentication string does not correctly use the
Basic base64(username:password)format, or special characters in the username and password are not properly escaped.
How to confirm successful configuration
- Before calling the interface, verify the format of the
Authorizationparameter. Use an online base64 tool to generate theBasic base64(username:password)string, and confirm authentication validity. - View the field list returned by
responseData, and confirm that it includes customer-required special characteristic parameters, batch number, and defect type, with no missing or mismatched fields. - Simulate a single-batch data pull, and check that the number of returned entries matches the preset pagination configuration, with no duplicate or missing data.
- View system logs after calling the interface, confirm that the interface response time does not exceed the configured 600 seconds, and there are no 401 or 500-level errors.
The values provided are common starting points and should be measured against the reader's own samples.