What the data for this category looks like
Core data for this category comes from formula systems, raw material batch management, internal mixers, Mooney viscometers, rheometers, vulcanizing machines, and laboratory testing equipment. Daily business documents include formula sheets, weighing records, mixing curves, quick rubber compound test reports, vulcanization process cards, mold usage records, and finished product performance reports. Data update frequency aligns with each raw material batch per truck, each production batch, and each vulcanization mold cycle. Data fields include mixing temperature (unit: degrees Celsius), vulcanization time (unit: seconds), batch numbers, mold numbers, and more. The number of documents associated with a single business entry changes dynamically based on production scale.
What constraints these characteristics impose on the HTTP Interfaces and External Systems workflow
This category has high data update frequency and links to multiple business nodes. HTTP interface calls must match the business rhythm of each truck, each batch, and each mold cycle, to avoid data inconsistency caused by delays or over-frequency calls. Data from multiple sources needs to pass business identifiers via interface parameters, such as batch numbers and internal mixer numbers, to accurately retrieve corresponding knowledge base documents. The complex business document structure requires interfaces to support passing multiple associated fields, ensuring that Q&A results match the current production scenario. At the same time, the consequences of business errors are severe, so interfaces must return verifiable result fields to facilitate subsequent troubleshooting and maintenance work.
How to set up the configuration
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
Authorization | Bearer {exclusive API key generated by the platform | Complies with HTTP interface authentication standards, prevents unauthorized calls, and ensures only legitimate requests can access the knowledge base |
variables | Key-value pairs containing batch numbers, internal mixer numbers, and vulcanization process IDs | Matches the association requirements for multiple business fields in this category, enabling accurate retrieval of knowledge base documents related to mixing and vulcanization |
| Single search limit | Top 3 results | The number of documents associated with a single business entry in this category is moderate. Too many results will increase interface response time, while too few will fail to cover necessary maintenance reference content |
| Timeout period | 600 seconds | Documents such as mixing curves and vulcanization process cards require certain processing time to load, avoiding call failures caused by early termination |
responseData | Fields including question matching degree and source document ID | Facilitates subsequent verification of the accuracy of maintenance Q&A results, and associates production data with the current business batch |
Three common misconfigurations
- Symptom: The answer returned by the API call differs from the answer in the platform test interface. Cause: Failed to pass the current batch's mixing parameters or vulcanization process ID via
variablesin the request, resulting in knowledge base retrieved documents that do not match the current business scenario. - Symptom: No available configuration entry for the API call request. Cause: Did not first create a dedicated application for equipment inspection and maintenance Q&A on the FastGPT platform, and directly initiated a call using a generic API key.
- Symptom: The API call returns an authentication failure status code. Cause: The
Authorizationparameter was not configured correctly, and the exclusive API key generated by the platform was not used for authentication.
How to confirm the configuration is complete
- Enter the inspection question for the corresponding mixing batch on the platform test interface, and confirm that the returned answer contains content related to the mixing curve or vulcanization process of this batch.
- Use an API debugging tool to initiate a request, and check whether the source document ID returned in
responseDatamatches the document number of the current business batch. - Simulate a real production scenario to trigger an API call, and compare whether the interface return result matches the result from the platform test interface.
- Check the interface call log, confirm that the
Authorizationparameter was correctly carried and the authentication status was passed.
The values given are common starting points and should be measured against the reader's own samples.