What this category of data looks like
The daily documents for this category include process sheets, patterns, layout plans, cutting orders, first sample seals, process quality sheets, and packaging and size matching sheets. Data sources include order and size charts, CAD patterns, fabric and accessory inspection records, hanging system data, needle detector data, and customer sample seal information. Data update frequency is adjusted per order, per style, per batch. Fields typically include order number, style number, size details, cut piece quantity, process time, inspection results, and packaging and size matching information. Common units are pieces, meters, pieces/box, labor hours, and similar.
Constraints imposed by these characteristics on HTTP interfaces and external systems
The multiple types of documents and dynamic update frequency of this category require HTTP interfaces to support multi-format file uploads and dynamic parameter adaptation. Exclusive fields such as size details, cut piece matching quantity, and packaging and size matching information require strict alignment between interface parameters and business fields. Data updates change in real time with orders and batches, so interfaces must support binding single order or single batch data in a single request. Because cut pieces are irreversible and processes are intensive, interfaces must include data validation and failure retry logic to prevent erroneous data from entering the ledger system.
How to set configurations
This document applies to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Authentication Method | Bearer {custom interface secret} | Complies with HTTP interface authentication standards to ensure security for external system calls |
| Request Parameter Configuration | Pass dynamic fields by order, style number, and batch dimensions | Matches the core business fields of this category’s ledgers, enabling accurate data summary |
| File Upload Limit | 1000 MB | Adapts to the transfer requirements for large files such as layout plans and patterns in this category |
| Request Timeout | 600 seconds | Adapts to the processing duration for multi-file uploads and complex ledger calculations |
| Return Data Format | Structured JSON object containing cutting details, quality inspection results, and packaging and size matching data | Returns all required ledger data in a standardized format for easy parsing by external systems |
| Retry Mechanism | Retry 3 times after failure, with a 10-second interval | Addresses scenarios such as network fluctuations or temporary unavailability of external systems, ensuring reliable data synchronization |
Three common misconfigurations
- Symptom: Unable to upload layout plans or pattern files when calling the interface, with prompts indicating unsupported file format or file size limit exceeded. Cause: Failed to configure upload limits for large files, or failed to correctly declare the multipart/form-data request header.
- Symptom: Ledger fields received by the interface are empty, making it impossible to generate corresponding reports. Cause: Failed to pass core business parameters by order or batch dimensions, leading to incorrect data matching.
- Symptom: After starting the interface service, the error "IPROXYAPIENDPOINT or AIPROXYAPITOKEN is not set" is displayed, and normal calls cannot be made. Cause: Failed to configure the proxy interface address and access token in the system environment variables, interrupting the external system call chain.
How to verify successful configuration
- Send a mock request carrying test order parameters to verify that the interface's
Authorizationauthentication works normally, thevariablesparameter is received correctly, andresponseDatareturns structured data. Adjust the coverage range of returned fields based on business requirements. - Upload test pattern or layout plan files to verify that the file transfer process works without errors. Adjust the upload limit configuration based on actual file sizes.
- Simulate an interface call failure scenario to verify that the system triggers the retry mechanism. Adjust the number of retries and interval duration based on network fluctuation frequency.
- Connect to an external ledger system to verify that returned data can be correctly parsed and written to corresponding business fields. Adjust the data format based on the system's parsing rules.
The values provided are common starting points and should be measured against the reader's own samples.