What the Data for This Category Looks Like
Data sources for specialized equipment yield rate and market daily reports include built-in operational sensors on the equipment, integrated third-party financial market data APIs, and locally stored historical transaction logs. There are two data update cadences: real-time market data refreshes every 10 seconds, and daily yield rate reports are finalized before 2 AM daily. Each daily report uses a structured format with four core fields: device_id, collect_time, daily_return_value, and market_fluctuation. collect_time uses an ISO8601 format timestamp. daily_return_value is a floating-point number with no mandatory percentage unit requirement.
What Constraints These Characteristics Impose on Model Access and Configuration
Multi-source data pulling requires configuring multiple interface concurrency control parameters to avoid triggering rate limits when requesting equipment sensors and third-party market APIs simultaneously. Daily batch report generation scenarios require configuring longer timeout thresholds to cover the full process duration of multi-equipment data aggregation and model inference. Fixed field structures require configuring precise input mapping rules to ensure models can correctly identify core fields such as equipment ID and collection time. High-frequency real-time market data pulling requirements require configuring reasonable request frequency limits to avoid exceeding third-party API rate limits.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
REQUEST_TIMEOUT | 600 seconds | Aligns with the data pulling and model inference duration for a single piece of equipment, preventing single-request timeouts |
BATCH_EXECUTE_TIMEOUT | 1200 seconds | Matches the full process duration of daily batch yield report generation, covering multi-equipment data pulling and aggregation |
FIELD_MAPPING_RULE | Map in the order of collection time, equipment ID, daily yield rate | Follows the fixed field order of specialized equipment data, ensuring model input format matches the equipment reporting structure |
RATE_LIMIT_PER_MINUTE | 30 requests | Matches the default rate limit threshold of third-party financial market APIs, preventing request blocking |
LOG_REQUEST_ID_ENABLE | Enabled | Records unique identifiers for each model request to assist with troubleshooting timeouts or exceptions |
MAX_RETRY_TIMES | 2 retries | Addresses temporary network fluctuations that cause equipment data pulling failures, reducing the need for manual intervention |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Model call grouping is configured for 1 group, but single request duration exceeds 600 seconds, and no platform timeout error is triggered. Cause: The
BATCH_EXECUTE_TIMEOUTparameter is not correctly configured, and the platform default timeout threshold does not cover the duration of specialized equipment batch data pulling. - Symptom: When calling a custom data parsing interface, a
408 Request Timeouterror is returned, and the error message indicates the timeout exceeds 60000ms. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default threshold is insufficient for parsing large-volume daily report data from specialized equipment. - Symptom: Batch execution nodes complete the full process in online debugging, but only partial tasks are executed when called via API. Cause: The
BATCH_REQUEST_MAX_WORKERSparameter is not configured. The default concurrency count for API calls is lower than the concurrency setting in the online debugging environment, leading to uncompleted task backlogs.
How to Confirm Proper Configuration
- View the platform's parameter configuration interface to confirm that the values of
REQUEST_TIMEOUT,BATCH_EXECUTE_TIMEOUT, and other parameters match the actual duration of specialized equipment data processing. - Initiate a model call request for a single piece of equipment data, obtain the
requestidvia logs, and verify that the request duration aligns with the configuredREQUEST_TIMEOUTthreshold. - Initiate a batch call request, verify the execution status of all equipment tasks, and confirm that no task interruptions or timeouts occur.
- Check the field mapping configuration to ensure that the fields input to the model exactly match the fields reported by the specialized equipment, with no missing or misaligned fields.
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.