What Data for This Category Looks Like
Data for this scenario typically originates from orders and size charts, CAD patterns, fabric and accessory inspection equipment, hanging systems, needle detectors, and customer sealed samples. Daily processed documents include process sheets, patterns, layout plans, cutting orders, first-piece sealed samples, process quality sheets, and packaging size matching sheets.
Data update rhythm adjusts per order, style, or batch, covering core workflows such as splitting garment patterns and process parameters, matching fabric color batches to cutting pieces, verifying size packaging, and more. Data fields include size, cutting piece count, process parameters, packaging ratio, and others. There is no unified fixed standard format, with adjustments made flexibly based on order requirements.
What Constraints Do These Characteristics Impose on HTTP Interfaces and External Systems
The multi-batch, high-frequency update data characteristics of this category require interfaces to support short-cycle batch calls, to prevent transmission failures caused by excessive single request data volume.
The need to transmit multiple types of documents requires interfaces to support mixed transmission of structured business data and binary files, to accommodate upload and download of documents such as process sheets and patterns.
The flexible adjustment of data fields per order requires interface parameter configuration to support dynamic field mapping, without requiring a fixed interface schema.
The irreversible nature of fabric cutting operations requires complete retention of interface request and response logs, to avoid rework caused by data loss.
The on-site workshop operation rhythm requires interface response delay to be controlled within a reasonable range, to meet the needs of on-site rapid audits.
Configuration Settings
These configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer token format; set token validity period according to workshop shift cycle, usually 8–12 hours | Adapts to the shift rhythm of garment processing workshops, avoids interrupting batch audit processes due to token expiration |
variables | Dynamically map business fields such as order number, size chart, and cutting piece count | Adapts to the requirement of flexible data field adjustment per order for this category, no need to modify interface configuration each time |
responseData | Return three types of data: audit results, abnormal fields, and correction suggestions; single field length does not exceed 1000 characters | Matches on-site workshop habits of quickly viewing audit results, avoids information overload |
| Request timeout | 60–120 seconds | Adapts to the time required for CAD pattern parsing and needle detector data pulling, avoids process interruption due to timeout |
| Batch request limit | No more than 50 order data entries per request | Avoids excessive server load caused by too large single request data volume, aligns with the rhythm of workshop batch audits |
Three Common Misconfigurations
- Symptom: Server read-write resource exhaustion after a single batch request, with 503 status code returned. Cause: No batch request limit set, CAD patterns and layout plan files for multiple batches of orders are transmitted at once, exceeding server storage and processing thresholds.
- Symptom:
responseDatareturns empty fields, making audit abnormal items unavailable. Cause: No mapping rule for abnormal fields specified in the request viavariables, causing the interface to fail to extract corresponding business data. - Symptom: The audit result returned by the interface includes image links that cannot be loaded or displayed on the frontend. Cause: No
Authorizationparameter configured to adapt to the access permissions of image resources, causing the link to fail to retrieve image files.
How to Verify Correct Configuration
- Initiate an interface request containing a single order data entry, check whether the returned
responseDataincludes the expected audit result fields for that order. - Initiate a request using an expired
Authorizationtoken, confirm that an authentication failure prompt is returned. - Simulate multiple batch requests, observe server resource usage, and adjust the batch request limit to a range that fits the business rhythm.
- Test a request containing a process sheet attachment, confirm that binary file transmission works normally, with no packet loss or format errors.
The values provided here are common starting points, and should be evaluated against the user's own samples.