What the Data for This Category Looks Like
The data for this category covers the full process from raw materials to finished products. Sources include raw material batch ledgers, workshop MES systems, slurry and coating testing equipment, dew point monitoring devices, formation and grading cabinets, and laboratory testing equipment. Daily documents include batching records, coating and calendering parameters, winding and lamination records, liquid injection records, formation and grading data, OCV and safety test reports. Fields include batch numbers, process parameter values, test results, and additional relevant data. Updates are generated per production batch and individual cell. Some real-time monitoring data is synced continuously.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
The data for this category is multi-source, scattered, and has complex update rhythms. This creates multiple constraints for HTTP interface and external system integration. Multi-source data must adapt to the reporting formats of different devices. Interfaces must support custom field mapping to accommodate process parameters and test results from different sources. Real-time monitoring data synchronization requires interfaces to have low-latency response capabilities. Batch production data transmission requires reasonable sharding rules to avoid single-request timeouts. The strong correlation between individual cells and production batches requires interfaces to support precise queries by batch number and cell unique identifier. Data integrity verification is also required to prevent abnormal data from interfering with traceability and defect analysis workflows.
How to Configure
This page’s configuration is adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer Team-Specific API Key | Used for interface identity verification to prevent unauthorized access to production data |
| Request Timeout | 30–60 seconds | Accommodates latency requirements for real-time data synchronization and batch data transmission |
variables | Pass batch numbers, cell unique identifiers | Binds cells to production batches to enable full-process traceability |
| Data Shard Size | 100–200 items per request | Reduces interface load and timeout risks for batch data transmission |
| Maximum Single Request Byte Size | 10 MB | Adapts to the interface’s transmission capacity limits |
responseData | Return complete process parameters and associated batch information | Supports full-link data troubleshooting for defect analysis |
Three Common Misconfigurations
- The interface returns an
unAuthChaterror with a 401 status code. This occurs because theAuthorizationparameter is configured incorrectly, either by omitting the fixed Bearer prefix or using an invalid API key. - Chinese file names appear garbled when uploading knowledge base files via the API. This happens because the request does not correctly set character encoding, and does not specify the character encoding parameter in the request header.
- Request timeouts occur when synchronizing formation and grading data in batches. This is caused by an overly short request timeout setting that does not accommodate network latency for batch data transmission.
How to Verify Proper Configuration
- A test request is sent to verify that the
Authorizationparameter passes identity verification and returns normal business data. - A test file with a Chinese file name is uploaded, and the file name is checked for correct display in returned results.
- Batch data transmission is simulated to verify that the interface fully receives data under the sharding settings, with no packet loss or timeouts.
- A defect analysis query is triggered, and the fields returned in
responseDataare checked for inclusion of required process parameters and batch association information.
The values provided here are common starting points, and should be measured against the reader's own samples.