Workflow Orchestration for Coking Coal Yield

Coking coal market and yield data primarily comes from public APIs of domestic commodity futures exchanges and spot monitoring platforms operated by

This page addresses workflow orchestration use cases for the coking coal industry, focused on daily yield and market report broadcasting.

What the Data for This Category Looks Like

Coking coal market and yield data primarily comes from public APIs of domestic commodity futures exchanges and spot monitoring platforms operated by industry associations. Update frequencies vary: futures market data pushes latest transaction data every 5 minutes. Spot quotes update twice daily. Data is output in structured format, including fields such as contract identifier, delivery standard, daily benchmark price, daily highest transaction price, daily lowest transaction price, daily cumulative trading volume, daily total open interest, and daily price change. Units for price-related fields are yuan/ton. Units for trading volume and open interest are lots. Units for price change are yuan/ton.

Constraints on Workflow Orchestration

The multi-source nature and differentiated update schedules of coking coal data require layered trigger logic for workflow nodes. Futures data pull nodes must adapt to the 5-minute interval. Spot data nodes must align with the two daily update windows. The structured characteristics of multiple fields require a field validation step in the workflow. This ensures core fields are complete and formatted correctly. Different coking coal delivery grades correspond to different contract codes. The workflow must add contract mapping rules to avoid calling incorrect data source APIs. Multi-source data correlation analysis requires workflow nodes to be set up in the dependency order: futures data pull → spot data pull → data alignment → yield calculation. This prevents data timing errors.

Configuration Recommendations

Configuration ItemRecommended SettingRationale
Scheduled Trigger RuleConfigure in two groups: futures nodes trigger every 5 minutes; spot nodes trigger daily at 10:00 and 16:00Coking coal futures market data updates every 5 minutes, spot quotes update twice daily
Maximum Parallel Count for Batch Execution Nodes8The number of coking coal contracts is limited. Parallel processing will not exceed the API call limits of most data sources
Variable Fallback SwitchEnabledAllows plugins to prioritize custom parameters passed by the workflow. Automatically loads default values if parameters are not retrieved
Knowledge Base Recall Similarity Threshold0.75Coking coal industry documents require high matching accuracy to avoid irrelevant content interfering with yield calculation logic
Field Validation RulesValidate contract identifier, daily benchmark price, and daily cumulative trading volumeEnsure pulled coking coal market data includes core business fields
Timeout Retry Count2Commodity data sources experience occasional fluctuations. Retries reduce the impact of single request failures

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

Three Common Mistakes

  • Issue: Knowledge base search returns empty results, with the interface displaying "No relevant content matched". Cause: No coking coal-specific industry documents have been uploaded to the associated knowledge base, or the recall similarity threshold is set outside a reasonable range.
  • Issue: Plugin parameters do not use the specified variable values, and default configurations are always loaded. Cause: The Variable Fallback Switch is not enabled, or the passed variable field name does not match the plugin configuration.
  • Issue: After batch execution nodes are triggered, some tasks return a 429 status code. Cause: The batch execution parallel count is set too high, exceeding the concurrent request limit of coking coal data source APIs.

How to Verify Successful Configuration

  • Manually trigger the workflow. Verify that pulled coking coal market data fields include core items such as contract identifier and daily benchmark price. Confirm units conform to the yuan/ton requirement.
  • Access the management interface of the associated knowledge base. Confirm that coking coal delivery rules, industry monitoring reports, and other specific documents have been uploaded. Confirm that the recall similarity threshold is set to the configured value.
  • Adjust the parallel count of batch execution nodes to a lower value. Trigger the batch task. Review execution logs of all subtasks. Confirm no errors are present and results are complete.
  • Pass custom coking coal contract parameters to the workflow. Confirm that plugins prioritize passed values. Confirm that default configurations are automatically loaded if parameters are not retrieved.

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.