What this category of data looks like
Thermal coal financing daily report data draws from two primary sources: official spot ledgers of major domestic coal delivery ports, and corporate financing credit records from cooperating financial institutions. Data is updated once daily, with full records for the previous trading day released each morning. All data uses a standardized structured table format. Core fields include:
- Report date
- Delivery port
- Thermal coal calorific value
- Settled price
- Financing credit limit
- Financing term
- Comprehensive financing cost
Unit specifications:
- Calorific value: kcal/kg
- Settled price: yuan/ton
- Financing credit limit: ten thousand yuan
- Financing term: days
- Comprehensive financing cost: basis points
Constraints imposed by data characteristics on workflow orchestration
The requirement for full daily data updates means workflows must use fixed scheduled triggers. Do not use incremental pull logic, as this will miss data from non-first update runs. The structured format with multiple fields and specific units requires adding a field validation step to the workflow. Set reasonable range limits for numerical fields such as calorific value, price, and cost to prevent non-standard values from moving to subsequent stages. The mixed multi-data-source pull requirement means workflows must have a unique key merging rule configured. This prevents duplicate data pulled from different sources from harming report accuracy. The strong correlation between financing fields and spot prices requires adding a correlation validation node. This ensures the matching logic between financing costs and current settled prices aligns with industry conventions.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Scheduled Task Trigger Time | 07:30-08:00 daily | Thermal coal spot data is typically updated before 7 a.m. locally, matching the conventional timing for business report generation |
Field validation rule | Validate that 热值 falls within 5000-7000 kcal/kg, 平仓价 falls within 500-1500 yuan/ton, and 融资综合成本 falls within 100-500 basis points | Aligns with standard value ranges for thermal coal spot markets and financing businesses |
Multi-data Source Merging Strategy | Use 报告日期+交割港口 as the unique key for deduplication | Eliminates duplicate port data pulled from different sources and avoids report redundancy |
APIRequest timeout | 600 seconds | Covers the time required for pulling data from port spot platforms and bank ledger APIs when multiple data sources are accessed |
Global Variable Data Type | Mixed string and numeric type | Supports mixed storage of text-based port names and numeric-based price and cost fields in financing daily reports |
Log Retention Toggle | Enabled, with a retention period of 365 days | Meets industry compliance requirements for log retention |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on in-house samples before finalizing settings.
Three common configuration errors
- Error phenomenon: The workflow returns a
408 Request Timeouterror code. Cause: TheAPIRequest timeoutsetting is not configured to accommodate the duration required for multi-data-source pulls, leading to timeout of bank ledger API requests. - Error phenomenon: After configuring a global variable for knowledge base selection type, the workflow cannot read the variable value. Cause: The global variable data type is not set to mixed string and numeric type, resulting in variable parsing failure.
- Error phenomenon: Duplicate delivery port data appears in the workflow output report. Cause: No deduplication merging rule using
报告日期+交割港口as the unique key is configured, so duplicate data pulled from multiple sources is not filtered out.
How to verify successful configuration
- Manually trigger the workflow, check that the running logs include all configured data source pull records, and confirm the trigger timing matches the preset scheduled task time.
- Import a test dataset of thermal coal financing daily reports containing abnormal values, run the workflow, and verify that the field validation node intercepts values outside the industry standard ranges.
- Open the workflow's global variable configuration page, confirm that the data type of the knowledge base selection variable is set to the correct mixed type.
- Check the workflow's log retention configuration, confirm the switch is enabled and the retention period matches the preset requirements.
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.