What the Data for This Category Looks Like
This category’s data covers the entire production process of bread, pastry, biscuit, instant noodle, and frozen pastry manufacturing facilities. Daily documentation includes formulas and feeding slips, production logs, baking/steaming curves, metal detection records, cleaning and sanitization logs, and outgoing inspection reports. Data sources include raw and auxiliary material compliance certificates, ERP/MES systems, weighing systems, oven and frying line equipment, laboratory datasets, and food traceability ledgers. Updates occur per production batch, shift, or daily. Data fields include material names, feeding volumes, baking temperatures, test results, and additional metrics. Units include grams, degrees Celsius, batch identifiers, and others. Data updates in real time as production proceeds.
Constraints Imposed on HTTP Interfaces and External Systems
The data characteristics for this category are multi-source, high-frequency updates, and high field complexity. These traits create multiple constraints during HTTP interface and external system integration. Multi-source data requires compatibility with data formats from ERP/MES, weighing systems, oven equipment, and other systems. Interfaces must support flexible field mapping. Frequent product line changes cause large fluctuations in data update frequencies. Interfaces must adapt to dynamic pull cycles to avoid data lag. Strict compliance requirements for allergen and foreign matter control mandate complete, traceable data transmission via interfaces. Identity verification mechanisms must be configured to ensure data security. Real-time needs for production records and test data mean interface timeout settings must align with production cycles. Single request data volumes must be limited to prevent interface overload that disrupts equipment inspection and maintenance workflows.
Configuration Settings
This page applies to FastGPT v4.17.0. The following configuration items can be set directly in the corresponding platform modules.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {custom secret} | Matches identity verification requirements of external systems, ensures compliance and security of data transmission |
variables | Bind production batch and equipment number fields | Adapts to frequent line change business characteristics of this category, enables dynamic pulling of equipment data for matching batches |
responseData | Filter for equipment status, inspection result, and maintenance record fields | Streamlines returned content, reduces interface transmission load, and improves response efficiency for equipment inspection |
| Interface timeout period | 30–60 seconds | Aligns with baking equipment baking cycles and production cycles, prevents timeout interruptions of inspection workflows |
| Request frequency | Once every 15–30 minutes | Matches daily or shift-based data update frequencies, balances data real-time performance and system load |
Three Common Configuration Errors
- Interface calls return permission errors. The cause is incorrect configuration of the
Authorizationparameter, where the secret does not match the identity verification rules of the external system. - Cross-origin requests are blocked. The cause is missing configuration of allowed request sources, and failure to adapt to the domain name format of internal factory production systems.
- Interface returns empty equipment data fields. The cause is incorrect binding of the production batch parameter in
variables, pulling invalid data with no matching batch.
How to Verify Successful Configuration
- Call the test interface, check if the returned
responseDataincludes core fields required for equipment inspection, confirm the filtering rule is active. - Simulate a production batch change, trigger an interface request, verify that dynamic parameters bound to
variablesupdate alongside the batch. - Check that the
Authorizationparameter matches the verification requirements of the external system, confirm identity verification passes. - Review interface call logs, confirm request frequency aligns with the preset cycle, and no frequent timeouts or system overload occur.
The values provided here are common starting points. They should be evaluated against applicable operational samples.