What this type of data looks like
Ledger data for steel smelting comes from Manufacturing Execution Systems (MES) and Programmable Logic Controllers (PLC). It includes smelting batch identifiers, process node parameters, material consumption data, and finished product output data. Update frequencies fall into three categories: real-time node data updates every 30 seconds, shift-end data updates every 8 hours, and daily-end data updates every early morning. Data is stored in structured format, with each record containing fields such as batch number, furnace temperature, energy consumption per ton of steel, and finished product weight. The unit of furnace temperature is degrees Celsius, energy consumption is kilograms of standard coal per production unit, and finished product weight is tons.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
Real-time node data has a high update frequency. Interfaces must support high-frequency pulling or streaming transmission to avoid single request timeouts. There are differences in data update schedules. Interfaces must support polling tasks configured for different periods to meet the pulling requirements of real-time, shift-end, and daily-end data. Fields and units have industry-specific characteristics. Returned field names cannot be directly reused with local ledger systems, so mapping rules must be configured. Batch daily-end data has a large volume. Interfaces must support pagination or chunked transmission to avoid exceeding single request data limits. Production system interfaces usually require authentication, so valid Authorization parameters must be configured.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Authentication Method | Bearer token | Matches the general interface authentication specification for steel smelting production systems |
| Variable Mapping Rules | Configure field mappings for batch number, furnace temperature, energy consumption, and output volume | Adapts to differences between interface returned fields and local ledger system fields |
| Response Data Processing | Filter and format conversion based on the responseData configuration field | Ensures returned data meets the parsing requirements of the local system |
| Polling Interval | 15–30 seconds (real-time data), 8 hours (shift-end data), 24 hours (daily-end data) | Matches the update frequency of corresponding data types |
| Batch Data Threshold | 1000 MB | Adapts to the maximum volume of daily-end ledger data |
| Interface Timeout | 600 seconds | Reserves sufficient time for batch data transmission |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common errors
- Receiving a 405 status code when calling the interface, with the interface prompting "Request method not allowed". The cause is not using the request method required by the production system, for example, using a GET request for a batch download interface that only supports POST requests.
- Missing fields when processing streaming real-time data, with generated reports missing some process parameters. The cause is not configuring a stitching rule for chunked data, only receiving the content of the last chunk.
- Incorrect
Authorizationconfiguration leading to authentication failure, with a 401 status code returned. The cause is using an unauthorized token, not using the dedicated authentication credential assigned by the production system.
How to confirm the configuration is complete
- Call the configured interface, check that the returned HTTP status code is 200 and
Authorizationauthentication passes. - Manually compare the field mapping relationship configured in
variables, confirm that the interface returned fields correspond one-to-one with the fields of the local ledger system. - Pull a single batch of real-time data, check that the format processed by
responseDatameets the parsing requirements of the local system. - Initiate a batch daily-end data request, confirm that the transmission time does not exceed the configured timeout period.
The values provided here are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.