What the data for this category looks like
Data for this category comes from formula and process libraries, raw material batch ledgers, reactor DCS systems, weighing record systems, LIMS laboratory management systems, and warehouse management systems of fine chemical enterprises including coatings, resins, additives, and agrochemical intermediate manufacturers. Daily documents include batch production instructions, feeding review sheets, reaction process records, cleaning confirmation sheets, finished product inspection reports, and deviation and change orders. Data is updated per batch production and each key process step. It includes fields such as batch number, feeding amount, reaction temperature, residence time, and inspection indicators. Units include kilograms, degrees Celsius, hours, and others. Due to formula confidentiality requirements, some core fields only have limited access permissions.
What constraints these characteristics impose on HTTP interfaces and external systems
The multi-variety production mode that switches between batches requires interfaces to accurately filter data based on batch number and process step conditions, to avoid returning redundant information from unrelated batches. The data update rhythm per batch requires interfaces to support on-demand pulling, to reduce system load. The need to connect data from multiple sources requires interfaces to support compatibility with return formats from different external systems. At the same time, due to formula confidentiality requirements, the Authorization parameter must be configured for role-based permission verification, and only access fields corresponding to the target batch are allowed. In addition, non-standardized document fields such as cleaning records and deviation sheets require clear specification of the return field range in interface requests.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {API key bound to batch permissions} | Fine chemical formula data has confidentiality requirements. Standard Bearer tokens are used to implement role-based identity verification, only allowing authorized roles to access production data for the corresponding batch. |
variables | {"target_batch": "Current traceability batch number", "process_step": "Reaction/Cleaning/Inspection"} | Accurate filtering of external system returned data by production batch and process step is required, to adapt to the business scenario of multi-variety and multi-batch switching. |
responseData | Only return batch_no, feed_weight, reaction_temp, inspect_result fields | Reduce invalid data transmission, avoid leakage of core formula parameters, and comply with industry confidentiality specifications. |
| Interface timeout | 300 seconds | Conventional response delays of external systems such as reactor DCS and LIMS fall within the 120-240 second range. Sufficient buffer time is reserved based on actual measurement calibration. |
| Request retry count | 2 times | Occasional network fluctuations occur in external systems. Retries can reduce the failure rate of interface calls and avoid interrupting the batch traceability process. |
| Response data format | JSON format | FastGPT v4.17.0 natively supports standard JSON format interface responses, facilitating subsequent data analysis and business logic processing. |
Three common mistakes
- Phenomenon: An
Api response error: undefinedmessage is returned when calling an external system interface, with no specific error information. Cause: TheAuthorizationparameter is not configured correctly, or the token permission is insufficient, causing the external system to block the request and fail to return valid response content. - Phenomenon: Pulled feeding and reaction data do not match the actual batch, and records from unrelated batches are returned. Cause: Correct batch number and process step filtering conditions are not specified in
variables, and the interface returns full production data. - Phenomenon: When calling the API for creating a file collection, PDF parsing parameters cannot be specified, resulting in parsing results that do not meet quality traceability requirements. Cause: Corresponding parsing configurations are not clearly specified in the request parameters, and necessary rule parameters are not passed in accordance with the FastGPT v4.17.0 interface parameter specifications.
How to confirm the configuration is complete
- Call the configured HTTP interface, check whether the
Authorizationparameter is correctly carried. Request header content can be viewed through interface logs. - Pass the
variablesparameter with a known batch number, verify that the returnedresponseDataonly includes preset fields, and that the data corresponds to the specified batch. - Simulate a network fluctuation scenario, verify that the interface automatically retries according to the configured retry count, and can normally retrieve data after retries.
- Upload a test PDF-format inspection report, confirm that the interface can complete parsing according to preset rules and return field content that meets business requirements.
The values given are common starting points and should be measured against the reader's own samples.