What the Data for This Category Looks Like
Data sources for thermal coal financial report analysis include:
- Monthly operation briefings from coal industry regulatory authorities
- Production statistics bulletins from major producing areas
- Periodic reports of listed coal enterprises
- Transaction data from port spot trading platforms
Update schedules follow these rules:
- Spot transaction data is updated daily
- Industry monthly data is released by the 10th of the following month
- Quarterly reports of listed enterprises are disclosed within 45 days after the end of the quarter
- Annual reports are released by the end of April of the following year
There are two categories of documents:
- Industry reports: Structured tables with fixed headers, including fields such as producing area production volume, port inventory, and transaction average price
- Listed enterprise financial reports: Structured fields including revenue, sales volume, and unit cost of segmented business segments. Most field units are ten thousand tons, yuan per ton, and yuan per gigajoule.
Constraints on Workflow Orchestration
Scattered data sources and inconsistent update cycles for thermal coal financial report analysis require workflows to support combined configuration of multiple scheduled trigger nodes. These nodes must adapt to the update cycles of spot data, industry reports, and enterprise financial reports respectively.
Field names and units vary across different data sources. Unified field mapping and verification rules must be configured in the workflow to prevent dimensional confusion in subsequent analysis.
Additionally, thermal coal business involves segmented dimensions such as calorific value and transaction categories. Workflows must integrate multi-source data into a standard dataset, so dedicated standardization processing nodes must be configured to ensure consistency of analysis dimensions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
workflow_trigger_cron | Set 0 0 1 * * ? for spot data, 0 0 2 * * 1 for industry monthly reports, 0 0 3 15 3,6,9,12 ? for financial report parsing | Matches the official release schedules of different data sources to ensure retrieval of the latest valid data |
parse_field_mapping | Map "closing price" to trade_avg_price, "production volume" to production_volume, and enforce unit verification for ten thousand tons and yuan/ton | Unifies field names and units of multi-source heterogeneous data, eliminating differences in data formats |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | The parsing duration of a single thermal coal financial report or industry report usually does not exceed 200 seconds. 300 seconds covers normal parsing requirements |
rag_retrieve_top_k | Top 8-12 entries | Thermal coal-related analysis has a large number of associated data entries. This range can cover core analysis dimensions while avoiding information overload |
node_error_retry_count | 2 retries | Addresses temporary fluctuations in spot data interfaces, reducing workflow interruptions caused by non-permanent errors |
max_context_tokens | 8192 tokens | Meets the context requirements of integrating multi-source data and analysis instructions, and adapts to the input window limits of mainstream large language models |
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 conduct testing with internal sample data before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After configuring multiple workflows, different trigger conditions call the same workflow node. Cause: No unique
workflow_trigger_idis assigned to each workflow, or duplicate parameters exist in trigger rule configurations. - Phenomenon: Empty fields or unit mismatches appear in parsed thermal coal financial report data. Cause: No field mapping and unit verification rules are configured for
parse_field_mapping, and the formats of multi-source data are not unified. - Phenomenon: When attempting to add voice output configuration to the workflow, the corresponding setting entry cannot be found in the interface, resulting in the inability to generate a voice version of the analysis results. Cause: No dedicated voice generation node is added to the workflow, and voice settings from the chat scenario are mistakenly treated as workflow configuration items.
How to Verify Successful Configuration
- Trigger the scheduled task for the corresponding workflow, check the data update time in the workflow log, and verify whether it matches the official release schedule of the data source.
- Upload a single thermal coal financial report or industry report document, and check whether the field names and units after parsing conform to the preset mapping rules.
- Simulate a node exception trigger, and check whether the workflow triggers the preset retry mechanism without direct interruption.
- Test the RAG retrieval link of the workflow, confirm that the number of retrieved entries conforms to the configured range, and covers core analysis dimensions.
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.