What Data Looks Like for This Category
The category includes typical entities such as electroplating plants, electronic connector workshops, and hardware surface treatment facilities. Daily documents cover bath solution analysis records, process parameter cards, fixture usage logs, film thickness and adhesion test reports, hazardous waste disposal ledgers, and online wastewater monitoring records. Data comes from customer surface treatment specifications, bath solution test results, rectifier operating data, online water quality monitoring equipment, and hazardous waste management ledgers. Updates occur per bath operation, per shift inspection, and according to fixed monitoring cycles. Fields include operation batch number, test time, process parameter values, and test results. Some parameters use dedicated units, such as ℃ for bath solution temperature, g/L for metal ion concentration, and μm for film thickness.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
This category has scattered, variably formatted data sources, including structured data directly transmitted by equipment and digitized data from manually filled paper documents. HTTP interfaces must support access to multi-format data. Different data types have widely varying update frequencies, ranging from per-bath operation data to per-shift inspection parameters. Interfaces must support pulling data within custom time ranges. Some fields include dedicated units. The responseData returned by the interface must clearly label parameter units and business meanings to prevent cross-system parsing errors. Data anomalies can trigger batch quality issues or compliance risks. Interfaces must include real-time error capture and reporting links.
How to Configure Settings
The following configurations are written for the HTTP interface feature of FastGPT v4.17.0, and are tailored to the business needs of the electroplating and chemical surface treatment category:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {dedicated API key} | Process parameters and hazardous waste data for this category are sensitive information. Authentication is required to ensure access security |
variables | {"batchScope": "pull by bath batch", "includeUnit": true} | This configuration adapts to the requirement of pulling data by operation batch for the category. Enabling unit marking reduces cross-system parsing errors |
responseData | Return batchId, detectTime, paramValue, unit fields | This matches the core fields of daily documents for the category, facilitating direct connection to existing quality audit processes |
| Maximum number of data entries per single request | Up to 500 entries | Single-batch operation data volume for this category is moderate. Limiting entries per request avoids interface timeouts |
| Request timeout threshold | 30–60 seconds | Pulling data from multiple sources requires sufficient processing time. Adjust the interval based on actual measurements |
Three Common Configuration Mistakes
- An interface returns a format error prompt. Troubleshooting reveals the
Authorizationparameter lacks the Bearer prefix. The root cause is failure to configure the parameter format per authentication specifications, so the system cannot recognize valid requests. - A data pull request returns empty fields that do not match the field requirements of internal audit templates. The root cause is incorrect configuration of pull scope and unit marking parameters in
variables, so pre-check logic cannot match valid data. - Attempting to use image data returned by the interface for audit display results in system parsing failure. The root cause is that interface requirements for this category focus on structured process and compliance data. Incorrect response format configuration prevents image data from adapting to quality audit field requirements.
How to Confirm the Configuration Is Complete
- Initiate a small-batch single data pull request. Check whether fields returned in
responseDatainclude operation batch number, test time, parameter value, and unit. - Simulate a request missing authentication parameters. Verify whether the system returns the corresponding error status code.
- Adjust the maximum number of data entries per single request and the request timeout threshold. Test whether interface responses meet business expectations in high-volume data scenarios.
- Connect to the internal audit system. Verify whether returned data can directly generate bath solution analysis reports or hazardous waste compliance reports.
The values given are common starting points and should be measured against local operational samples.