What the data for this category looks like
Data for this category typically comes from raw fiber inspection reports, ERP systems, spinning and loom operation data, evenness tester test results, and fabric inspection machine records. Daily documents include cotton blending lists, process setup sheets, equipment operation logs, yarn inspection sheets, grey fabric inspection records, and defect registration books. Data updates synchronize with each batch of raw material feeding, each shift production cycle, and each piece of fabric produced. Fields include fiber component proportion, spinning twist, weaving structure parameters, yarn strength indicators, grey fabric width, defect type and location, and more. Units such as count, meter, and gram are used.
What constraints these characteristics impose on HTTP interfaces and external systems
Data sources cover ERP systems, production equipment, and offline inspection instruments. Update rhythms vary widely across these sources. Interfaces must support configuring different pull cycles for different data sources. The inspection and process data volume for a single piece of fabric is small. For batch tenders involving multiple orders, the size of the dataset returned in a single interface request grows with the number of orders. The number of items returned in a single request must be limited to avoid timeouts. Tender quotations are strongly bound to process parameters such as cotton blending ratio and yarn twist. Interfaces must support passing associated fields such as fiber components, production teams, and inspection batches. This ensures one-to-one correspondence between data and tender subjects.
How to Configure the Setup
This guide is written for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request timeout | 60–120 seconds | Adapts to the average time required for multi-source data pulling |
Authorization | Fill in the key generated by the system | Ensures identity verification for interface calls passes |
variables | Bind business fields such as fiber components and grey fabric width | Passes customized parameters required for tenders |
responseData | Only return inspection results, process parameters, and order specification fields | Filters irrelevant data to reduce transmission overhead |
| Maximum number of items per single request | First 20 items | Matches the order coverage of each batch of tenders |
| Cache validity period | 8 hours | Adapts to the data update rhythm of each shift |
Three Common Mistakes
- Symptom: Logs show continuous interface call requests during non-working hours. Account balance consumption is abnormal. Cause: No IP whitelist or identity verification rules for interface calls are configured. Unauthorized requests trigger calls.
- Symptom: The error
500 do request failed: Post "https://xxx" tls: failed to verifyis returned. Cause: No valid SSL certificate is configured. The TLS version of the target interface does not match, causing communication verification to fail. - Symptom: The
responseDatafield returned by the interface is missing key process parameters. Cause: Corresponding business variables are not bound in the configuration. Pulled data does not include core information such as twist and width required for tenders.
How to Confirm the Configuration Is Correct
- Call the test interface. Check if the returned
responseDataincludes preset business fields such as fiber components and grey fabric width. - Simulate a request during non-working hours. Verify that the interface triggers permission interception. Unauthorized requests cannot be called normally.
- Adjust the maximum number of items per single request. Confirm that the number of returned results matches the preset first 20 item limit.
- Check the system operation logs. Confirm that the request timeout configuration takes effect. No frequent timeout errors occur.
The values given are common starting points and should be measured against the reader's own samples.