What the data for this category looks like
This category covers full-process inspection and process records for carbonated drink, juice, tea, functional beverage, and packaged drinking water factories. Data sources include water source and raw material testing, formula systems, online sugar and acidity monitoring equipment, filling equipment, visual inspection systems, and LIMS systems. Daily documents include formula sheets, water treatment records, blending records, sterilization or aseptic filling records, packaging material inspection sheets, and finished product inspection sheets. Data is updated per batch, per shift, or via continuous collection. Fields include batch identifiers, sugar content, acidity, filling liquid level, sealing parameters, label batch numbers, microbial test results, and some parameters have dedicated business units.
Constraints imposed on HTTP interfaces and external systems by this category's characteristics
The multi-source and high-frequency data characteristics of this category create multiple constraints for HTTP interface and external system integration. Continuous online data collected from multiple devices requires interfaces to support low-latency active reporting or scheduled pulling, and adapt to the native output formats of different devices. Differentiated fields across multiple document types require interfaces to support dynamic parameter configuration, to match the field structures of different business documents such as formula sheets and inspection records. The data update logic based on batches and shifts requires interfaces to support precise querying by batch identifiers, to avoid redundant data transmission. In line with business requirements for compliance traceability, interfaces must carry complete verification fields to ensure transmitted data can be traced.
This document is written based on FastGPT v4.17.0.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Bearer {valid secret key for the corresponding system} | Matches the standard authentication format of beverage factory LIMS or equipment systems, and ensures the legitimacy of interface calls |
variables | Bind batch number, factory ID | Adapts to batch-based query business logic, and reduces repeated parameter input |
responseData | Extract core fields such as inspection results and equipment parameters | Complies with FastGPT's standard response processing rules, and quickly obtains valid business data |
| Request timeout setting | 30-60 seconds | Adapts to the latency range of online equipment data collection, and avoids invalid waiting |
| Batch query parameter | Query by time interval per shift or per batch | Matches the batch-based data update characteristics of this category, and accurately obtains target data |
| Field mapping rule | Match dedicated fields such as sugar content, acidity, and filling liquid level | Adapts to the unique business data structure of beverage categories, and avoids field mismatches |
Three common configuration mistakes
- Global variables do not take effect when calling the interface, and the batch number in the request parameters is empty. Cause: The
variablesparameter is not correctly bound in the interface configuration, causing the variable to not be passed with the request. - The interface returns a 401 Unauthorized status code, prompting that the token is invalid. Cause: The
Authorizationparameter is configured incorrectly, either a valid secret key for the corresponding system is not used, or the secret key format does not meet requirements. - Fields are missing after extracting response data, and cannot match business verification rules. Cause: The extraction path for
responseDatais not correctly configured, resulting in incomplete business data fields not being obtained.
How to confirm successful configuration
- Call the test interface, and check whether the returned
responseDataincludes expected business fields such as sugar content and batch number. - Check the
Authorizationparameter configuration, initiate a request using a valid secret key, and confirm that a 401 status code is not returned. - Pass preset global variables, and check whether the corresponding business identifiers such as factory ID and batch number are included in the request parameters.
- Compare the logs of the connected system, and confirm that the parameters of the interface request match the expected values and have no format errors.
The values provided are common starting points and should be evaluated against samples from the actual deployment.