What data looks like for this category
The data for this category mainly comes from bath solution test records, rectifier operation data, online water quality monitoring systems, hazardous waste management ledgers, and customer surface treatment specifications. Daily documents include bath solution composition analysis sheets, process parameter cards, fixture usage ledgers, coating thickness and adhesion test reports, and wastewater discharge records. Data is updated by bath batch, shift, or fixed monitoring cycles. Fields cover bath solution component concentrations, operating temperature, current parameters, coating thickness, discharge indicators, and more. Corresponding units include mg/L, ℃, A/dm², μm, and others.
Constraints imposed on HTTP interfaces and external systems
This category has multi-source, heterogeneous data sources and differentiated update rhythms. HTTP interfaces must support pulling data across different time ranges and data types. Field differences across multiple document types require interfaces to allow dynamic configuration of request parameters to adapt to different ledger structures. Environmentally related hazardous waste and wastewater data requires compliance verification. Interfaces must require valid authentication information to ensure data security. Frequent bath batch updates generate a large number of requests in a short period. Interfaces must set reasonable request rate limits and timeout handling mechanisms.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request authentication configuration | Carry the Authorization header field with a value of Bearer plus a valid token | Adapt to the permission verification requirements of multi-source data interfaces, and prevent unauthorized access to compliant data |
| Request variable configuration | Configure variables as data type and time range parameters | Adapt to the pulling needs of different ledgers, and support dynamic data requests for bath batches and shift levels |
| Response data processing | Extract core ledger data according to the fields specified by responseData | Filter non-essential fields to meet the lightweight transmission requirements of production ledger summary |
| Request timeout setting | 600 seconds | Adapt to time-consuming document pulling scenarios such as bath solution analysis and coating thickness testing |
| Request rate limit | No more than 30 requests per minute | Address frequent bath batch data updates, and avoid interface overload |
| Pagination parameter configuration | Pull no more than 500 records per request | Balance data transmission efficiency and server load, and adapt to multi-ledger batch summary scenarios |
Three common configuration mistakes
- Interface calls return a 401 Unauthorized error. This is caused by incorrect configuration of the
Authorizationheader field, or an expired or invalid token. - Image links in response results fail to load normally. This is caused by incorrect configuration of response data field extraction rules, which fails to correctly carry image resource paths.
- Sustained high server resource usage. This is caused by failure to set request rate limits and pagination parameters, leading to read-write overload from frequent pulling of full bath batch data.
How to confirm configuration is complete
- Use the FastGPT v4.17.0 interface calling tool, carry the
Authorizationheader field to initiate a test, and verify that the return status code is 200 OK. This confirms the authentication configuration is effective. - Pass preset time range and data type parameters, check that the returned results include core fields such as bath solution and coating thickness for the corresponding category. This confirms the request variable configuration is correct.
- Initiate 3 to 5 consecutive calls, observe that server resource usage has no abnormal fluctuations. This confirms the request rate limit and pagination parameter configuration is reasonable.
- Extract core fields from the response data, compare them with the field structure of local ledgers. This confirms that the
responseDataextraction rules meet summary requirements.
The values provided here are common starting points and should be evaluated against the reader's own samples.