What Data for This Category Looks Like
This category of data originates from engineering orders, sand, gravel, cement and admixture inspections, moisture content tests, mixing plant control systems, and laboratories. Data update frequencies cover each vehicle production batch, each raw material delivery node, and daily summary cycles. Daily documents include mix proportion notices, opening identifications, production and transport orders, raw material inspection records, test block retention records, and strength reports. Fields cover raw material inspection results, mixing parameters, transport scheduling information, test block detection values, and exception status markers. No additional statistical percentage data is included.
Constraints Imposed on HTTP Interfaces and External Systems
This category of data is updated frequently and sourced from multiple dispersed locations. HTTP interfaces must support high-frequency calls and adapt to cross-system data pulling. Daily documents cover all links of production, inspection, and scheduling. Interface requests must adapt to parameter passing with combined multiple fields. Exception reports must associate real-time production data with delayed test block verification data. Interfaces must support precise queries by production batch and raw material batch. There is a requirement for batch pulling of daily summary data, so interfaces must support pagination parameter configuration to avoid excessive data volume in a single request. Incorrect transmission of abnormal data may cause quality issues such as material returns and project shutdowns. Therefore, interface parameter verification and data filtering must strictly match business rules.
Configuration Settings
The following configurations are based on FastGPT v4.17.0, as detailed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Interface call timeout | 300 seconds | Adapts to the response rhythm of each vehicle production in this category, avoids blocking the production process |
| Batch request limit | 50 items per request, single data volume no more than 1000 KB | Adapts to the pulling demand for daily summary data, controls the data load of a single request |
| Request body format | application/json | Matches the passing demand for multi-field parameters in this category, compatible with cross-system data docking |
Authorization | Bearer ${AIPROXY_API_TOKEN} | Complies with industry general API authentication specifications, ensures interface access security |
variables | Bind production batch, raw material inspection values, and test block strength fields | Adapts to parameter filling for process documents and exception reports, matches the field structure of daily documents |
responseData | Filter returned results by production batch | Matches the business logic of generating documents by batch in this category, reduces invalid data returned |
Three Common Configuration Errors
- Phenomenon: Workflow logs show the HTTP request node status as not triggered, with a direct jump to the AI chat node. Cause: The trigger condition of the HTTP request node is not configured correctly, or the AI chat node is not placed after the HTTP request node.
- Phenomenon: No raw material inspection or production parameters are included in the HTTP request body, and fields are empty or have incorrect formats. Cause: The
variablesconfiguration is not bound to the corresponding data fields, leading to incorrect parameter passing. - Phenomenon: The exception report data returned by the interface does not match the current production batch, and the number of results exceeds expectations. Cause: Query parameters are not configured by production batch, resulting in the pulling of test block or production data from unrelated batches.
How to Verify Correct Configuration
- View workflow node logs, confirm that the HTTP request node’s request header carries the
Authorizationfield, and the parameter matches the configuredAIPROXY_API_TOKEN. - Simulate parameter input for a production batch, check whether the HTTP request body contains the bound production batch, raw material inspection values, and other fields.
- Trigger the workflow, check whether the returned results include mix proportion notices and exception report data matching the current production batch.
- Test high-frequency call scenarios with multiple calls per second, confirm that the interface does not experience timeouts or errors.
The values provided are common starting points and should be measured against the reader's own samples.