What the Data for This Category Looks Like
Coke financing daily report data mainly comes from three sources: domestic coastal port coke delivery warehouse receipt data, financing transaction records from coal supply chain finance platforms, and futures market warehouse receipt daily reports. Data is updated every early morning, with full data for the previous trading day released. The data uses a structured table format, including the following fields: transaction date, coke origin, specification identifier, financing subject type, financing amount, financing period, weight of the warehouse receipt corresponding to collateral, and settlement benchmark price. Units are as follows: financing amount is measured in RMB ten thousand yuan, warehouse receipt weight in tons, financing period in natural days, and settlement benchmark price in yuan per ton.
Constraints Imposed on Workflow Orchestration
Multiple data source access requirements mean the workflow must be configured with parallel or serial node scheduling. Update time differences between data sources must be handled to avoid pulling incomplete same-day data. There are many structured fields with name differences across data sources, so dedicated field mapping and standardization nodes must be configured to unify data from all sources into a standard format. The daily update frequency requires setting the timed trigger node’s cycle to daily. A timeout retry mechanism must be configured to handle temporary delays from individual data sources. The coke category has multiple specification subdivisions, so rules based on specification dimensions must be added to classification or filter nodes. This prevents mixing financing data of different specifications and ensures the accuracy of the daily report.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
schedule_trigger_cron | 0 2 * * * | Matches the early morning update time of domestic port data to ensure full same-day data is pulled |
data_source_merge_strategy | deduplicate_by_date_and_origin | Removes duplicate data from multiple sources by date and origin, aligning with the deduplication needs of coke financing daily reports |
field_mapping_rules | Configured via actual on-site calibration | Different data sources have different field names, so mapping relationships must be configured based on actual connected data sources |
workflow_node_timeout | 300 seconds | Accounts for the time required to pull data from multiple sources, preventing node timeouts that interrupt the workflow |
filter_specification_key | Coke Specification | Targets the multiple specification characteristics of the coke category, specifies the specification field as the filter basis to avoid data mixing |
retry_count_on_failure | 2 times | Addresses temporary unavailability of individual data sources, improving workflow execution success rate |
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 individual analysis. It is recommended to test on internal samples before finalizing settings.
Three Common Configuration Mistakes
- After the database query node in the workflow returns results, the LLM node does not output the queried warehouse receipt data. Cause: The output variables of the database query are not added to the context configuration of the LLM node, so the context does not carry the query results.
- The judge node returns "non-empty" results regardless of the input financing period value. Cause: No field matching rules are configured for the judge node, and the default "any value exists" judgment is used directly, without binding a specific field variable.
- The question classification node fails to cover all possible coke financing-related questions, resulting in missed judgments. Cause: Only a small number of general classifications are configured, and targeted question types are not added based on the specific scenarios of coke financing daily reports.
How to Verify a Successful Configuration
- Review workflow execution logs to confirm the timed trigger node starts at the preset time.
- Export test output from the field mapping node to confirm fields from each data source have completed standardization conversion.
- Submit test data of different specifications to verify the filter logic of the judge node conforms to the subdivision rules of the coke category.
- Run the code node to confirm output variables from the preceding knowledge base recall node can be called, and the first result is extracted.
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.