This page is based on the FastGPT v4.17.0 configuration specification.
What the data for this category looks like
Daily documents for this category include tank solution analysis records, process parameter cards, fixture records, film thickness and adhesion reports, hazardous waste ledgers, and wastewater monitoring records. Data sources cover customer surface treatment specifications, tank solution test results, rectifier operating data, online water quality monitoring results, and hazardous waste management ledgers. Documents are updated according to production nodes or monitoring cycles, with update frequencies including per tank batch, per shift, and fixed monitoring cycles. Document fields include tank number, pH value, metal ion concentration (g/L), plating tank temperature (℃), hanging plating current (A), film thickness (μm), hazardous waste output (kg), and other fields. Each field is bound to a dedicated business unit.
What constraints these characteristics impose on the "HTTP interfaces and external systems" link
The need to access multi-source data requires interfaces to support batch pulling of document data from different sources, adapting to the pulling frequencies of different data nodes such as tank solution tests and water quality monitoring. The specificity of fields and units requires interfaces to preset format verification rules, preventing invalid data with non-standard units or field formats from entering the system. Differentiated update frequencies require interfaces to support both scheduled triggering and event triggering calling modes, matching the update requirements of per tank batch and per shift. The synchronization requirement for multiple types of documents requires interfaces to support batch pulling, avoiding transmission failures caused by single requests with excessive data.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {dedicated API key} | Follow interface authentication standards to ensure data transmission security |
variables | Bind tank number, pH value, film thickness and other business fields | Match the core business data structure of electroplating scenarios |
responseData | Only return valid detection fields and timestamps | Reduce invalid data transmission and improve interface efficiency |
| Scheduled trigger interval | 15–30 minutes | Adapt to the document update frequency of per tank batch and per shift |
| Interface timeout period | 30 seconds | Avoid long waits disrupting process flow |
| Maximum data per single request | Top 20 entries | Adapt to the record scale of single-batch tank solution analysis or water quality monitoring |
Three common misconfigurations
- Calling the interface returns a 400 error, prompting that the request parameter format does not meet requirements. Cause: Failure to verify the unit and format of document fields, for example, mistakenly transmitting the μm unit of film thickness as mm, and failing to match the preset field rules of the interface.
- Workflow global variables fail to correctly obtain the business data returned by the interface. Cause: Failure to correctly bind the
variablesparameter, and failure to map theresponseDatareturned by the interface to the global variable configuration of the workflow. - Scheduled trigger interface calls do not execute at the expected frequency. Cause: Failure to adjust the trigger interval according to the production update rhythm, resulting in a mismatch between the data synchronization frequency and the actual production cycle.
How to confirm the configuration is complete
- Call the test interface and check if the returned
responseDataincludes preset business fields such as tank number and detection values. - Verify the
Authorizationparameter configuration and confirm that authentication requests can pass normally. - Trigger a manual call and check if the workflow global variables correctly load the business data returned by the interface.
- Simulate a timeout request and confirm if the interface's retry mechanism triggers as expected.
The values provided are common starting points and should be measured against the reader's own samples.