What data for this category includes
Data for this category is sourced from multiple types of business documents from bread and pastry, biscuit, instant noodle, and frozen pastry factories. These documents include formulas and feeding lists, production records, baking or steaming curves, metal detection records, cleaning and disinfection records, and factory inspection reports. Data sources cover raw and auxiliary material qualification certificates, ERP/MES systems, weighing systems, ovens and frying lines, laboratories, and food traceability ledgers. Update frequency follows per batch, per shift, or daily schedules. Core document fields include raw material feeding amount (unit: grams), baking temperature (unit: degrees Celsius), steaming duration (unit: minutes), allergen material lists, packaging dates and shelf life (unit: days), and other critical content.
Constraints on HTTP interfaces and external systems
High-frequency updates and multi-source data characteristics of this category require HTTP interfaces to support incremental synchronization or batch pulling, to avoid excessive bandwidth usage from full-volume pulling. Field differences across multiple document types require interfaces to retain original field mappings when returning data, to avoid information loss from forced uniform formatting. High-frequency demand for allergen and cleaning switching requires interfaces to quickly return cleaning records and allergen ledgers for specified batches, and control response latency within a reasonable range. Ready-to-eat product attributes require process data returned by interfaces to have high confidence levels, to avoid incorrect data flowing into the Q&A system. Frequent product line switching requires interfaces to support quick filtering of corresponding process documents by product model, to reduce invalid data transmission.
How to configure settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Bearer token format, carrying the system-assigned secret key | Ensures the security of interface calls, and adapts to authentication specifications of most industrial ERP/MES systems |
variables | Configure product model and production batch as dynamic variables | Adapts to business scenarios with frequent line changes, and accurately matches process documents for corresponding batches |
responseData | Only return core process fields for the current batch | Reduces invalid data transmission and improves the response speed of the Q&A system |
| Interface timeout period | 30-60 seconds | Covers the pulling duration of large-volume data such as baking curves and production records, adjust based on actual measurements |
| Number of items returned per request | Top 3-5 items | Matches the accuracy requirements of process specification Q&A, avoids excessive data interfering with model generation |
Three common configuration errors
- A red numeric error is returned when calling the interface, with a status code of 404. Cause: The token format of the
Authorizationheader is not correctly configured, or the interface address does not match the data source path for baked goods and convenience food process documents. - The Q&A system returns process data missing allergen information. Cause: The allergen field is not included in the
responseDataconfiguration, resulting in filtered interface return data. - A timeout error occurs when calling the interface. Cause: The interface timeout period is not reasonably set, or pagination pulling configuration is not implemented for large-volume baking curve data, exceeding the preset response duration.
How to confirm successful configuration
- Call the configured HTTP interface, pass test product model and batch variables, and check if the returned data includes core fields such as formulas and baking parameters for the corresponding batch.
- View the interface authentication log to confirm that the token format of the
Authorizationheader is correct, with no authentication failure records. - Test variable inputs for different product models, and check if the interface returns process documents for the corresponding product, with no cross-product data interference.
- Simulate a batch data pulling scenario, check if the interface response duration meets business requirements, and adjust the timeout period configuration as needed.
The values provided are common starting points and should be measured against samples used in actual deployments.