What data for this category looks like
Data for this category mainly comes from daily production documents and equipment collection data from garment OEM/ODM and cutting and sewing workshops. Daily documents include process sheets, patterns, layout plans, cutting orders, first sample seals, process quality sheets, and packaging size matching sheets. Data sources include order and size charts, CAD design patterns, fabric and accessory inspection results, hanging production systems, needle detector data, and customer sample sealing standards. Data updates align with each order, each style, and each batch production process. Overall, the data has characteristics of multiple styles and strong seasonality. Cut pieces are irreversible, and manual processes are intensive. This creates clear differences from textile categories that focus on fabric body production.
What constraints these characteristics impose on HTTP interfaces and external systems
The multi-style, small-batch update characteristics of this category require interfaces to support dynamic field mapping for different styles. This avoids fixed fields limiting data access. The irreversible nature of cut pieces requires production data transmitted via interfaces to have strong consistency. This prevents irreversible production losses caused by duplicate or incorrect submissions. Dispersed data from multiple document sources requires interfaces to support batch pulling and integration of multi-source data. This adapts to field structures of different formats such as process sheets and layout plans. In scenarios with intensive manual processes, interfaces must support real-time synchronization of high-frequency, small data volumes. This meets the immediate reporting needs of workshop process quality sheets.
Configuration settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Fixed Bearer token | Matches the permission control logic of workshop systems, simplifies external system docking processes |
variables | Bind order number, style number fields | Accurately associate production data for individual styles and batches, avoids confusion of historical data from different batches |
responseData | Standardized JSON structure including batch identifiers | Adapts to field parsing requirements for multi-source production documents, unifies return formats from different devices |
| Request timeout | 600–1200 seconds | Adapts to time consumption requirements for workshop batch production data synchronization, prevents request interruptions caused by large data volumes |
| Retry strategy | Retry 2 times after failure, 30 second interval | Addresses interface call failures caused by workshop network fluctuations, ensures data synchronization integrity |
| Maximum return entries | Top 100 entries | Adapts to the scale of single-batch production data, avoids excessive system load caused by overly large return data volumes |
Three common configuration errors
- Historical data returned by the interface includes production records from multiple orders, making it impossible to accurately locate quality issues for the current batch. The cause is failure to bind exclusive business identifiers such as order numbers and style numbers in request parameters, and failure to correctly use the
variablesconfiguration to associate corresponding fields. - The interface returns status code 401 after a call, indicating authentication failure. The cause is failure to correctly configure the
Authorizationparameter, and failure to use the fixed authentication key recognized by the workshop system. - When synchronizing cutting order data in batches, only partial entries are returned, and complete production data cannot be obtained. The cause is failure to set a reasonable maximum number of return entries, resulting in data truncation due to exceeding the system's default limits.
How to verify correct configuration
- Initiate a single interface request bound to a specified order number, check whether the returned results only include production document information for the corresponding order, to verify the association effect of the
variablesconfiguration. - Simulate workshop network fluctuations, disconnect the network then re-initiate a request, check whether the system automatically triggers the retry mechanism and completes data synchronization, to verify the retry strategy configuration.
- Submit test data for different styles, check whether the
responseDatareturned by the interface conforms to the preset standardized JSON structure, to verify field parsing adaptability. - View the interface call log, confirm that the
Authorizationparameter has been correctly carried and the authentication status is successful, to verify the validity of the authentication configuration.
The values given here are common starting points, and should be measured against the reader's own samples.