What data for this category looks like
Daily documents for this category include process sheets, CAD patterns, layout plans, cutting orders, first article sealed samples, process quality sheets, and packaging size matching sheets. Data sources include orders and size charts, CAD design files, fabric and accessory inspection records, hanging production systems, needle detector data, and customer sealed samples. Data updates initiate for each style, each order batch, and each production run, with no fixed schedule. Core fields include pattern parameters, size ratios, fabric batches, process man-hours, and packaging size matching rules. Units include centimeters, pieces, kilograms, and other category-specific identifiers.
What constraints do these characteristics impose on HTTP interfaces and external systems
Documents for this category combine structured process parameters and unstructured pattern files. HTTP interfaces must support both text field and file stream transmission. Data updates have no fixed schedule, so interfaces must adapt to frequent ad-hoc call demands. Core fields include category-specific size ratio and fabric batch information. Interfaces must retain corresponding field mappings in requests and responses. Error consequences include bulk size deviations and rejected incorrect shipments. Interfaces must support parameter validation and exception return mechanisms. Production workflows rely on data from external devices such as hanging systems and needle detectors. Interfaces must support access formats for multi-source heterogeneous data.
How to set configurations
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Carry a Bearer token, set validity period to 7 days | Adapt to the permission verification cycle of external systems, avoid frequent token refreshes impacting interface calls |
variables | Preset category-specific field variables, such as fabric batch, size ratio | Quickly pass fixed parameters from the garment cutting and sewing link, reduce repeated request fields |
responseData | Only return order number, quotation amount, and validity period fields | Streamline response content, reduce data processing load for external systems |
| Timeout setting | 30–60 seconds | Adapt to the transmission and processing duration of documents such as process sheets and layout plans, avoid timeouts triggered by oversized files |
| Retry count | 2–3 times | Address temporary network fluctuations for external devices such as hanging systems and needle detectors |
Three common mistakes
- Phenomenon: The interface returns a 401 Unauthorized error, or the request is directly blocked. Cause: The
Authorizationparameter is not configured correctly, the token format does not meet requirements, or the token has expired and not been refreshed. - Phenomenon: After uploading files such as layout plans and process sheets, the external system cannot parse the corresponding business fields. Cause: Category-specific garment parameters are not preset in
variables, causing the interface to fail to match business context. - Phenomenon: Bulk quotation requests return an insufficient number of results, or timeout errors occur. Cause: The timeout setting is shorter than the actual duration required for file transmission and model processing, and does not adapt to multi-file joint processing demands for the garment category.
How to confirm the configuration is properly set up
- Invoke the test interface with a valid
Authorizationtoken, verify that the returned status code is 200. - Upload category-specific process sheet or layout plan files, verify that only the preset core business fields are returned in
responseData. - Simulate a bulk order request, confirm that the interface returns a complete response within 30–60 seconds, with no timeout errors.
- Check that the
variablesparameters received by the external system include category-specific garment fields such as size ratio and fabric batch.
The values provided here are common starting points and should be evaluated against the reader's own samples.