What data looks like for this category
Normally, data sources for the garment cutting and sewing stage cover orders and size charts, CAD patterns, raw material inspection equipment, hanging production systems, needle detectors, and customer sealed samples. Daily generated documents include process sheets, patterns, layout plans, cutting lists, first-piece sealed samples, process quality forms, and packaging size matching lists. Each document’s fields correspond to details like piece count, fabric batch number, process tolerances, packaging ratios, and more. Units include pieces, meters, batch numbers, and others. Data updates follow per-order, per-style, per-batch cycles. Field structures vary across different styles. Cut pieces are irreversible processed products, and data cannot be modified after submission.
What constraints these characteristics impose on HTTP interfaces and external systems
The need to connect multiple data sources requires interfaces to support batch pulling of structured data from different devices and systems, and adapt to input in multiple formats such as CAD patterns and needle detector test results. The update rhythm based on orders and style numbers requires interfaces to support triggering data synchronization with dynamic identifiers, to avoid invalid pulling operations. The differentiated structures of multiple document types require interfaces to have flexible field mapping configuration capabilities, to unify return formats for data from different sources. The irreversible nature of cut pieces requires write operations in interfaces to have idempotency, to prevent production errors caused by repeated submissions. Additionally, the wide range of styles and strong seasonality require interfaces to support dynamic adaptation to the personalized field requirements of different styles.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Carry a Bearer token with a validity period of 7200 seconds | Adapt to identity verification for multi-system connections, avoid token leakage risks |
variables | Bind order numbers, style numbers, and batch numbers as dynamic variables | Match the per-order and per-style update rhythm, accurately pull corresponding data |
responseData | Encapsulate as a structured format that includes document type and field mapping | Uniformly process return content for multiple document types such as process sheets and cutting lists |
| Interface timeout period | 600 seconds | Adapt to time-consuming scenarios including fabric inspection and data pulling from hanging production systems |
| Single pull limit | First 100 entries | Adapt to batch pulling requirements for multiple types of documents |
| Idempotency check switch | Enabled | Prevent irreversible errors caused by repeated submission of cut piece data |
Three common mistakes
- Calling the core interface returns a 401 Unauthorized status code. This occurs because the
Authorizationtoken was not carried correctly, the token has expired, or the standard identity verification process was not followed. - Receiving a 302 redirect or a prompt to call the preLogin interface before calling the target interface. This occurs because the identity verification logic compatible with FastGPT v4.17.0 was not configured, and the system’s native pre-login verification step was relied on.
- The conversation result returned by the interface does not include a cite reference ID. This occurs because the document reference return configuration was not enabled, and source data for inspection and process records was not correctly associated.
How to confirm configuration is complete
- Call the test interface with a valid
Authorizationtoken, confirm that a 200 status code is returned and no identity verification related errors occur. - Pass a known order number as the
variablesparameter, confirm that the returnedresponseDataincludes structured fields for the corresponding cutting list and process sheet. - Enable the idempotency check, then resubmit the same data request, confirm that the data write operation is only performed once, and no duplicate records are generated.
- After configuring the return format to use the
responseDataencapsulated format, confirm that the returned content includes the expected document type and field mapping relationship.
The values provided here are common starting points, and should be evaluated against the reader’s own samples.