What This Category's Data Looks Like
The core data for this category comes from customer color swatches, formula libraries, dye chemical batches, dye vat control equipment, colorimeters, setting machines, and environmental monitoring systems. Daily produced documents include dyeing formulas, chemical dosing records, dye vat temperature rise curves, proofing confirmation sheets, color difference reports, setting process sheets, and sewage ledgers. Data is updated per vat, per batch, or per shift. Fields include dye vat temperature, chemical dosing concentration, color difference ΔE values, sewage discharge parameters, and dedicated units such as degrees Celsius, grams per liter, and milligrams per liter.
Constraints Imposed on HTTP Interfaces and External Systems
High-frequency, multi-batch data updates require interfaces to support low-latency real-time calls, adapting to the single-vat processing cycle of dye vat processes. Multiple types of documents and dedicated field units require interface request parameters to strictly validate field formats and units, preventing invalid data from entering the review process. Severe potential consequences require interfaces to have idempotency and failure retry mechanisms, preventing the risk of entire vat scrap caused by duplicate operations or interruptions. Differences in data formats from multiple device sources require interfaces to support request bodies in different reporting formats, simplifying cross-system docking processes.
Configuration Settings
This page applies to FastGPT v4.17.0. The following are explanations of specific configuration items:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {Pre-configured API Key} | Complies with general HTTP interface authentication standards to prevent unauthorized access |
variables | {"dyeBatch": "Current Batch Number", "tempUnit": "℃"} | Matches core business fields of dyeing and finishing data to facilitate interface-side validation |
responseData | Return only document entries that failed validation | Reduces invalid data transmission and improves review efficiency |
| Request Timeout | 600 seconds | Adapts to the single-vat processing cycle of dye vat processes to avoid mid-process interruptions |
| Retry Count | 3 times | Addresses temporary network fluctuations while avoiding repeated trigger of duplicate validation |
| Maximum Data Per Request | 50 document entries | Matches the volume of documents produced per shift or per batch to prevent interface overload |
Three Common Configuration Mistakes
- A
URIError: URI malformederror occurs. The cause is that the request URL carries unescaped special characters, such as slashes or spaces in dye chemical batch numbers. - A 413 status code is returned. The cause is that the total size of documents submitted in a single request exceeds the interface's allowable limit.
- External interfaces cannot be called during local deployment. The cause is that the
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENconfiguration items are filled incorrectly, and do not match the actual deployed proxy address and key.
How to Verify Successful Configuration
- Send a test request containing valid dyeing batch data, and check if the
Authorizationauthentication header is correctly carried. - View the
responseDatafield returned by the interface, and confirm that the returned content matches the configured filtering rules. - Simulate a network fluctuation scenario, and verify if the interface can automatically recover the request within the set retry count.
- Check the local deployment configuration file, and confirm that the values of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENmatch the actual environment.
The values provided here are common starting points, and should be evaluated against the reader's own operational samples.