What Data for This Category Looks Like
This category covers production and compliance records for electroplating plants and hardware surface treatment workshops. Records include bath analysis records, process parameter sheets, fixture records, film thickness and adhesion reports, hazardous waste management ledgers, and wastewater monitoring records. Data comes from customer surface treatment specifications, bath test results, rectifier operating data, online water quality monitoring systems, and hazardous waste management systems. Updates occur per bath cycle, per shift, or per fixed monitoring cycle requirements. Fields include bath component concentration, process temperature and current, film thickness metrics, wastewater discharge values, and more. Common units are g/L, ℃, A, μm, mg/L.
Constraints for HTTP Interfaces and External Systems
Data sources for this category are scattered and update frequency is high. HTTP interfaces must support integration with multiple external systems, including bath testing equipment, rectifiers, online water quality monitoring devices, and hazardous waste management systems. High-frequency production data requires interfaces to have low-latency response capabilities to avoid blocking Q&A workflows. The structure of different types of production and compliance documents varies significantly. The responseData returned by the interface must support flexible adaptation to multiple field combinations to meet the structure requirements of different documents. Additionally, some data involves compliance requirements. The interface must strictly verify field completeness and unit matching to ensure accurate inspection and maintenance reference data can be obtained during Q&A calls.
How to Configure
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Bearer {custom secret}, valid for no more than 7 days | External systems integrated for this category are mostly industrial equipment or compliance systems. Authentication is required to ensure data security, and a short validity period reduces the risk of secret leakage |
variables | Include three types of variables: bath concentration, equipment current, and wastewater discharge value. Each variable is bound to the field mapping of the corresponding data source | The inspection and maintenance Q&A for this category needs to associate multiple types of business data. variables can uniformly pass dynamic data obtained from the interface |
responseData | Split returns by document type. Single data length must not exceed 800 characters | Documents for this category include multiple types of structures. Splitting returns improves processing efficiency and avoids parsing exceptions for overly long content |
| Interface timeout period | 30–60 seconds | Data sources for this category include online monitoring systems. Network latency may be high. This interval covers response times for most scenarios |
| Data validation rules | Validate required fields and unit matching | Data for this category involves compliance requirements. Incorrect fields or units will invalidate Q&A results |
Three Common Mistakes
- Phenomenon: A standard-structured data set is returned after calling the external interface, but the Q&A tool prompts "Model response empty". Cause: The field mapping rules for
responseDataare not configured correctly, causing the model to fail to recognize valid business data, or the returned data does not match the binding requirements of the presetvariables. - Phenomenon: After private deployment, the login interface prompts a password error, and initialization cannot be completed. Cause: The initialization root password configuration item in
docker-compose.ymlis not modified correctly, or the configuration value contains unescaped special characters. - Phenomenon: An uncaught exception is triggered when calling the interface, or the Q&A result has missing or abnormal formatting. Cause: Data validation rules are not configured, causing missing fields, mismatched units, or data formats that do not meet business requirements in the interface return.
How to Confirm Configuration Is Complete
- Call the configured HTTP interface, check whether the returned
responseDataincludes business-required bath, equipment, or compliance data, and the format matches the presetvariablesbinding rules. - Log in to the deployed FastGPT instance using a test account, verify that the root password can be logged in normally, with no error prompts.
- Trigger the equipment inspection and maintenance Q&A, check whether the interface can be called to obtain corresponding data and generate answers that conform to business logic.
- View system logs to confirm there are no interface call failures, data parsing exceptions, or uncaught error messages.
The values provided are common starting points and should be evaluated against the reader's own samples.