What the data for this category looks like
Iron ore market and yield rate data is primarily sourced from the official API of the Dalian Commodity Exchange and third-party bulk commodity data interfaces. Daily futures settlement prices and closing prices are released after the 15:00 close on working days, and spot data is updated at 16:00 daily. Most data is provided in structured JSON or CSV format, including fields such as instrument_id, delivery_grade, origin_place, settlement_price, closing_price, trading_volume, and open_interest. Price units are yuan per ton, trading volume and open interest units are lots, and 1 lot equals 100 tons of standard iron ore fines.
Constraints on Workflow Orchestration From These Data Characteristics
The update schedule for iron ore data only covers working day trading hours. Workflow triggers must align with trading day windows to avoid invalid requests during holidays or non-trading hours. Field names vary across multiple data sources. A field mapping step must be configured in the workflow to unify the format of fields returned by different interfaces. Data includes unit-associated attributes: trading volume is measured in lots, so convert the value to tons during yield rate calculations. Exchange APIs may experience temporary delays. Add a retry mechanism in the workflow to prevent daily report generation from being interrupted due to a single failed request. The mainstream trading product is 62% grade iron ore fines. Add a data cleaning step to filter non-standard grade data and ensure the daily report covers valid trading targets.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
workflow_cron | 30 16 * * 1-5 | Aligns with the 1-hour update window after Dalian Commodity Exchange closing, covers all working day trading periods |
api_request_timeout | 15 seconds | Bulk commodity API responses typically complete within 10 seconds; reserve 5 seconds of buffer to avoid request timeouts |
field_mapping_strategy | Strict matching + alias mapping | Field names differ across data sources; map fields like settlement to standard fields such as settlement price |
data_filter_rule | Only retain entries where delivery_grade is 62% iron ore fines | The mainstream market trading product is 62% grade iron ore fines; filter non-standard category data |
retry_attempts | 2 attempts | Address temporary API fluctuations, prevent daily report generation failure from a single request error |
log_storage_level | info | Log full request, cleaning, and generation processes to facilitate troubleshooting |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and testing on available samples is recommended before finalizing settings.
Three Common Mistakes
- Issue:
Failed to connect to jyfkk:1433 - 38BBDDC3AF7F0000error occurs during workflow execution. Cause: The database whitelist has not been configured to allow platform access, or the host name in the database connection string is misspelled. - Issue:
console.loglogs from code runtime modules cannot be viewed in the platform console. Cause: The detailed log switch for the workflow has not been enabled, or the log level is set higher thaninfoso logs are not captured. - Issue: Yield calculation results in the generated daily report are abnormal. Cause: Trading volume in lots was not converted to tons before being used directly in the yield formula, leading to numerical deviations.
How to Confirm Configuration Is Complete
- Manually trigger the workflow once. Execution logs are reviewed for records of successful data source requests, completed data cleaning, and completed daily report generation.
- Daily report data generated by the platform is compared with publicly available daily data from third-party sources to confirm field completeness and numerical consistency.
- The trigger time in configuration items is modified to the current time. The workflow is verified to start as expected on a scheduled basis.
- Abnormal data returns are simulated from the data source interface. The workflow is checked to see if it triggers the preset exception handling process.
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.