What the Data for This Category Looks Like
This category's data comes from Gerber files, drill files, BOMs provided by the client, as well as CAM system data, production equipment parameters, bath test results, AOI inspection reports, electrical testing reports, and laboratory slice reports. Daily documents include engineering production instructions, drilling and lamination parameters, chemical analysis records, fault maintenance logs, etc. Data updates are triggered by production batches and shift frequencies; some equipment parameters and inspection data are collected continuously. Data fields cover graphic dimensions, hole coordinates, bath concentration, inspection defect types, maintenance record numbers, and more. There are no unified fixed units, and they are adjusted according to the corresponding document scenario.
Constraints Imposed on HTTP Interfaces and External Systems by These Characteristics
The data sources for this category are scattered and have diverse formats. HTTP interfaces must support multiple formats including structured CAM parameters, time-series equipment collection data, semi-structured inspection reports, etc., and require built-in basic format parsing and adaptation logic. Data update frequencies vary significantly. The interface must support both on-demand triggering and scheduled pull invocation modes to match the update rhythm of production batches and shifts. There are no unified units for data fields. The interface return must retain the original document's field and unit identifiers to avoid secondary conversion errors. Additionally, since the consequences of errors are severe, the interface's timeout and retry configuration must match the tolerance threshold of the production process to prevent abnormal interruptions to production links.
How to Set the Configuration
This page is written based on FastGPT v4.17.0.
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
Authorization | Fixed Bearer token exclusive to the manufacturing plant | Used to block anonymous access, matching the security control requirements of PCB manufacturing plants |
variables | Pass fixed key-value pairs of {"device_type": "drilling machine", "report_type": "AOI"} | Limit the retrieval scope of interface calls, focusing on inspection and maintenance data for the corresponding equipment |
responseData | Only return the fields device_id, fault_time, repair_record | Reduce invalid data transmission, adapting to the rapid retrieval needs of production scenarios |
| Maximum context | First 2000 characters | Retain sufficient equipment historical parameters and inspection records to support context association for maintenance Q&A |
| Single search limit | Top 10 entries | Control the number of returned results, avoiding excessive data occupying interface bandwidth and processing time |
| Timeout period | 60 seconds | Match the response tolerance of the production process, preventing inspection processes from being interrupted due to interface lag |
Three Common Misconfigurations
- Phenomenon: The interface call returns database connection failure status code 500, and the service cannot be restored after restarting. Cause: The access permission for the production environment MySQL is not configured, or the port and account parameters in the connection string are filled incorrectly.
- Phenomenon: Calling the interface returns a
401 Unauthorizederror, and Q&A interaction cannot be completed. Cause: TheAuthorizationparameter is not set correctly, or the token key used does not match the FastGPT platform. - Phenomenon: Some requests are dropped or timed out when calling the interface concurrently. Cause: The concurrent processing threshold of the interface is not adjusted according to the concurrent requirements of the production scenario, resulting in request queue overflow.
How to Confirm the Configuration is Correct
- Call the configured HTTP interface, pass a valid
Authorizationtoken andvariablesparameter, check if the returnedresponseDatacontains the expected equipment inspection and maintenance records. - Simulate concurrent requests in a production scenario, observe the interface's response status, and adjust related configurations until there are no obvious timeouts or errors.
- Check the external system's conversation page, confirm that the maintenance records and parameter data returned by the interface can be loaded normally, with no missing fields or format abnormalities.
- Pass an incorrect
Authorizationparameter when calling the interface, confirm that a401 Unauthorizederror is returned, verifying that the anonymous access interception function is effective.
The values provided here are common starting points and should be measured against the reader's own samples.