HTTP Interfaces and External Systems for Dedicated Equipment Yield Rates

What the data for this category looks like

Dedicated equipment (mechanical equipment category) yield rate and daily market trend data primarily comes from built-in operating parameter collection modules and connected on-site market gateways. Data is generated in batches after each trading day closes. The total volume of data synchronized in a single batch varies based on the scale of the equipment cluster. Each daily report uses a standardized JSON structure with five core fields: device_id, collection_time, daily_return_value, benchmark_deviation, and health_status.

device_id is a string-formatted unique device identifier. collection_time is an ISO 8601 formatted collection timestamp. daily_return_value is the device's single-day operating return value relative to a benchmark. benchmark_deviation is the return deviation value. health_status is a boolean device health status indicator.

What constraints these characteristics impose on HTTP interfaces and external systems

The daily batch update rhythm requires the interface to support scheduled trigger synchronization. High-frequency real-time requests are not recommended, as they consume excessive system resources. Multiple data sources (local device and market gateway) require the interface to use a multi-source retry mechanism to handle temporary failures of a single data source. The fixed field structure requires interface requests to support parameter filtering by device_id and collection_time, to accurately query specified device data for a specified date. Strict format requirements for boolean and numeric fields require enabling strict validation during interface parsing, to avoid subsequent processing exceptions caused by non-standard data.

How to set the configurations

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

• After calling the interface, the human_input field in the response is null. This occurs when the request header does not carry a valid Authorization token, causing identity verification to fail and the interface to not correctly bind the session context.
• Configuring an incorrect address for AIPROXY_API_ENDPOINT prevents connection to external market sources. The interface returns a 404 Not Found error, as the actual IP and port of the dedicated equipment local gateway were not used.
• When configuring streaming SSE requests, failing to set Connection: keep-alive and Content-Type: text/event-stream in the HTTP header prevents the front end from receiving segmented data. The response is forced into a single transmission package.

How to confirm the configuration is complete

• Call the test interface, check that required fields such as device_id and collection_time exist in the response and conform to expected formats.
• View synchronization task logs, confirm that the automatic synchronization process triggers after daily market close, and there are no error records related to REQUEST_TIMEOUT.
• Configure a streaming output test, verify that the front end can split segmented content using the data: prefix when receiving data, confirming normal streaming transmission.
• Call the interface with a valid Authorization token, confirm that a 200 OK status code is returned, and there are no identity verification related errors.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.