What data for this category includes
This category’s data originates from formula systems, raw material batch ledgers, internal mixers, Mooney viscometers, vulcanizing machines, and laboratory testing equipment. Daily generated documents include formula sheets, weighing and feeding records, mixing temperature curves, rapid rubber property test reports, vulcanization process cards, mold usage logs, and finished product performance reports. Data updates align with each truckload of raw materials, each batch of mixed rubber, and each vulcanized product per mold cycle. Core fields include material proportion (unit: phr), processing temperature (unit: ℃), holding time (unit: minutes), batch number, mold number, and other key information.
Constraints on HTTP interfaces and external systems
High-frequency real-time data updates require HTTP interfaces to support low-latency calls. This prevents production process interruptions caused by interface timeouts. Transmission of multiple structured and semi-structured document types requires interfaces to support parameter passing in different formats. Errors in formula and process parameters directly cause scrap of batch rubber materials. Interfaces must support parameter integrity verification and exception interception. For cross-system integration, identity verification is completed via Authorization, and category-specific field mapping rules are passed via variables. This ensures mixing and vulcanization parameters from external systems correctly match FastGPT’s knowledge base review logic.
Configuration settings
This configuration is based on FastGPT v4.17.0. Specific configuration items are listed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Fixed token value, rotated every 180 days | Matches production system identity verification rules, prevents unauthorized external system access |
variables | Configured as {"phr":"物料占比","temp":"加工温度","batch":"批次号"} | Maps fields passed by external systems to standard fields required for FastGPT review |
| Maximum number of documents per single request | 5 | Matches total documents generated per mold cycle or batch, prevents request overload |
| Request timeout period | 30 seconds | Adapts to real-time response requirements of mixing processes, prevents production process blocking |
responseData | Return only verification results and abnormal fields | Reduces unnecessary data transmission, improves interface call efficiency |
Three common configuration mistakes
- The interface returns an empty
responseDatavalue. This occurs when thevariablesfield mapping is not configured correctly, so mixing temperature parameters from external systems cannot be recognized as valid review fields. - A 504 status code triggers during request timeout. This happens when the set timeout period is too short to complete full verification of multiple mixing curves and process cards.
- Vulcanization process cards submitted in batches do not trigger review. This is because interface calls are not triggered per the update rhythm of each mold cycle, leading to duplicate data being filtered or the review logic remaining inactive.
How to verify correct configuration
- Call the test interface with a standard mixing process card. Check if verification results for corresponding fields are returned in
responseData. - Simulate high-frequency batch requests. Confirm interface response times meet preset timeout requirements.
- After configuring the
variablesfield mapping, submit raw data exported from an external system. Verify that field names are correctly identified. - Check system logs. Confirm no unauthorized errors occur during
Authorizationverification.
The values provided here are common starting points, and should be evaluated against the reader’s own samples.