What the Data for This Category Entails
Data sources include public reports from domestic coal industry associations, brokerage industry research reports, Dalian Commodity Exchange delivery standard documents, and spot trading data from major domestic coal ports. Update schedule: Regular industry analysis reports are updated on a fixed weekly or monthly basis. Special research reports are released immediately when industry policies change or prices fluctuate. Typical document structure includes four parts: industrial chain supply and demand analysis, price trend breakdown, policy impact interpretation, and future market outlook. Core fields include:
- Coking coal dry basis ash content (unit: kilograms per ton)
- Caking index (numerical value)
- Spot settlement price (unit: yuan per ton)
- Northern port inventory (unit: ten thousand tons)
- Downstream steel enterprise operating load (numerical value)
Key Constraints for Workflow Orchestration
Coking coal research report data has scattered sources, varying update schedules, numerous professional fields, and fixed structures. These traits create multiple constraints for workflow orchestration:
- Multi-source data requires dynamic knowledge base switching. Fixed binding to a single data source leads to incomplete information.
- Configure scheduled trigger nodes for fixed-cycle weekly reports. Use keyword monitoring triggers for event-driven special reports to adapt to different update rhythms.
- Add field filtering rules in knowledge base search nodes for professional fields such as dry basis ash content and caking index. This ensures recalled content aligns with analysis requirements.
- Set up paragraph splitting and recall for long document structures. This prevents context overflow.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Trigger Mode | Scheduled Trigger + Keyword Monitoring Dual Mode | Coking coal research reports include both weekly/monthly fixed-update regular reports and special reports released alongside policy or price changes. Dual mode covers all data sources |
Knowledge Base Search - Number of Recalled Entries | Top 8 | Single coking coal research report is lengthy. Excessive recalled entries occupy the context window. Top 8 entries cover three core analysis dimensions: supply and demand, price, and policy |
Knowledge Base Search - Time Range | Last 7 Days | Coking coal prices fluctuate quickly. Reports from the last 7 days cover the latest market trends and avoid interference from outdated information |
Variable Binding - Knowledge Base Selection | Dynamic Reference Industry Variable | Need to switch between knowledge bases for different coal industry categories. Dynamic variables enable flexible configuration and resolve limitations of static binding |
AI Conversation - Context Window | 8000-12000 Characters | Single coking coal research report typically exceeds 5000 characters. 8000-12000 characters fully accommodate recalled content and user queries |
PARSE_FILE_TIMEOUT_SECONDS | 600 Seconds | Most coking coal research reports are long documents. Parsing takes significant time. 600 seconds ensures complete parsing without interruption |
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. Analyze specific cases individually. Test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: No optional options appear in the "Reference Variable" dropdown when dynamically specifying a knowledge base. Cause: Did not create a variable with the corresponding knowledge base name in the workflow global variable module in advance, or did not bind the variable to the configuration item of the knowledge base search node.
- Symptom: The execution result of the AI conversation node appears directly in the final session response. Cause: Did not disable the "Output to Session" configuration item for the node. Enabling this switch by default mixes node execution results into the final reply.
- Symptom: Workflow execution returns status code 504. Cause: Did not adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter. Parsing time for long coking coal research reports exceeds the default threshold, causing task timeout and interruption.
How to Verify Successful Configuration
- Trigger a workflow test. Check if the trigger node starts per the preset scheduled or keyword rules. Confirm the trigger logic works.
- View the return results of the knowledge base search node. Verify that recalled research reports include core coking coal professional fields and match the configured time range.
- Validate the global variable transfer logic. Check if the variable bound in the knowledge base search node correctly points to the target knowledge base. Confirm dynamic switching functions properly.
- Run the full workflow. Check that the AI conversation node's execution output only goes to the specified intermediate node, and is not mixed into the final session reply. Confirm the output configuration is correct.
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.