This document applies to FastGPT v4.17.0.
What this category's data looks like
Data for this category covers full-process documentation for bread, pastry, biscuit, instant noodle, and frozen pastry factories. This includes formulas and feeding lists, production records, baking or steaming curves, metal detection records, cleaning and disinfection records, and factory inspection reports. Data sources include raw and auxiliary material qualification certificates, ERP/MES systems, weighing systems, oven or frying line equipment, laboratory test results, and food traceability ledgers. Updates follow production batches, shifts, or daily schedules. Core fields include allergen material identification, production window parameters, and foreign matter inspection results. No fixed additional units apply; fields are dynamically adjusted based on the needs of individual production batches.
What constraints these characteristics impose on HTTP Interfaces and External Systems
Data for this category updates dynamically per production batch, with frequent line changes. HTTP interfaces must support fast retrieval of matching data using batch identifiers to prevent cross-batch data confusion. Sensitive fields such as allergen material lists and production window parameters require encrypted transmission. Interfaces must support Authorization authentication configuration to block unauthorized access. Multi-source data (such as MES system data and oven equipment data) must be aggregated using a unified interface format. Interfaces must support multi-format data parsing to adapt to output structures from different devices. Reasonable call frequencies must be set for daily or shift-based bulk data synchronization to avoid exceeding interface rate limiting thresholds of external systems. Interfaces must also support resumable uploads to prevent data loss from failed single bulk synchronization runs.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Fixed prefix with factory-specific access key, such as Bearer sk-xxxx | Used for authentication to protect sensitive data from production systems such as ERP and MES |
| Interface timeout period | 600–1200 seconds | Adapts to retrieval requirements for large-volume data such as baking curves and bulk production records, and avoids synchronization interruptions |
variables | Bound to global parameters such as batch number, product type, and allergen list | Dynamically retrieves exclusive data for the corresponding production batch and avoids cross-batch confusion |
responseData | Only return fields associated with the batch, such as test results and production window parameters | Filters redundant data to improve interface call and parsing efficiency |
| Bulk synchronization limit | 30–50 records per request | Adapts to production data volume per shift or batch, and avoids exceeding interface rate limiting thresholds of external systems |
Three common mistakes
- A call to an external data interface returns a
connection errorstatus code with a request timeout error prompt. The cause is failure to adjust the interface timeout configuration for large-volume production data of this category, such as complete baking curves. The default timeout duration is insufficient to complete data retrieval, resulting in request interruption. - When calling a conversational application via API, the returned results do not include allergen lists or production record data from the knowledge base. The cause is failure to bind the parameters for the corresponding production batch via
variablesduring the call, or failure to configure the interface to carry the correct context identifier, resulting in the system being unable to match the knowledge base content for the corresponding batch. - When bulk uploading production record PDF files, some files fail to parse and return no results. The cause is failure to set a reasonable bulk synchronization threshold, which exceeds the rate limiting restrictions of the external parsing system, and failure to configure a retry mechanism, resulting in the request being blocked without automatic recovery.
How to confirm the configuration is correct
- Initiate an interface call for single-batch data, and verify that the returned
responseDataonly includes the preset batch-associated fields with no redundant content. - Initiate an authentication request using an invalid
Authorizationkey, and confirm that an unauthorized error prompt is returned to verify that the authentication configuration is effective. - Initiate an API call by binding the
variablesparameters for the corresponding production batch, and verify that the returned results include relevant data such as allergens and production windows for that batch. - Initiate a bulk data synchronization request, and confirm that the interface does not trigger a rate limiting error and that synchronization progress can be queried normally.
The values provided are common starting points and should be measured against the reader's own samples.