What the data for this category looks like
This typically covers business data for cotton spinning, chemical fiber spinning, woven and knitted production enterprises. Daily documents include cotton blending lists, process setup sheets, equipment operation records, yarn and grey fabric inspection documents, and defect ledgers. Data comes from raw fiber inspection reports, ERP systems, real-time data collected from spinning and weaving looms, evenness testers, output from fabric inspection machines, and order specification files. Updates occur in sync with each batch of raw materials, each shift’s production, and each piece of fabric produced. Fields include fiber indicator parameters, process parameters, equipment operation parameters, inspection values, and defect types. Units cover physical measurement units such as weight, length, and strength.
What constraints do these characteristics impose on the "HTTP Interfaces and External Systems" link
This category has high-frequency data updates, scattered data sources, and diverse field types. These factors impose constraints on HTTP interface call frequency and data compatibility. High-frequency production and inspection data synchronization requirements demand that interfaces support several concurrent requests per second, to avoid data synchronization delays. Differences in data formats across multiple sources require that the variables parameter supports flexible field mapping, and responseData can adapt to structured inspection values and unstructured document content. A large single-batch data volume caused by many equipment heads requires that interfaces support reasonable batch request parameter configuration. Decentralized internal system docking requirements demand that interface permission configurations adapt to authentication rules of different business systems.
How to configure the settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Carry a Bearer token from the enterprise’s internal system, set the validity period to 7200 seconds | Adapt to authentication rules of internal ERP and inspection equipment, avoid interface call failures caused by frequent token refreshes |
variables | Pass fields such as fiber grade, process twist, and defect type; limit the number of fields per single request to no more than 20 | Match the structured data structure of cotton blending lists and process setup sheets, avoid parsing exceptions caused by too many fields |
responseData | Return structured arrays of yarn strength and grey fabric defect count per inspection batch | Adapt to batch data statistics requirements for supplier audits, facilitate subsequent data storage and analysis |
| Single request timeout | 30–60 seconds | Adapt to the response cycle of equipment data collection, avoid request interruptions caused by equipment delays |
| Concurrent request limit | Calibrate based on actual measurements | Match the concurrent data upload capability of spinning and weaving looms, avoid exceeding system load thresholds |
Three Common Mistakes
- Phenomenon: After calling the interface, the knowledge base and application are not automatically associated, and the returned associated fields are empty. Cause: The association parameters for binding the knowledge base ID and application were not passed in
variables, causing the system to fail to recognize the binding relationship. - Phenomenon: The interface call returns a 401 status code, and authentication fails. Cause: The
Authorizationparameter does not correctly carry a valid token, or the token validity period exceeds the preset 7200 second limit. - Phenomenon: The number of returned results after batch requests does not match expectations. Cause: The number of fields or data volume per single request was not limited, exceeding the interface parsing limit and causing partial data to be discarded.
How to confirm the configuration is correct
- Send a test request, pass typical fields from a cotton blending list, check if
responseDatareturns expected structured inspection results. - Call the authentication interface to obtain a token, verify that the
Authorizationparameter can pass system authentication normally, with no 401 status code returned. - Send a batch request, check the field integrity of the returned results and consistency with the request parameters, confirm that no fields are lost or parsing exceptions occur.
- Adjust the timeout parameter, simulate an equipment delay scenario, confirm that the request can complete a response within the preset period.
The values provided here are common starting points, and should be evaluated against the reader’s own samples.