What this category’s data looks like
The data for urban commercial bank financing daily reports primarily comes from the bank’s internal credit management system, interbank business ledger, and central bank financial statistics reporting interface. Full updates are completed daily at the end of the business day. Each daily report uses a structured table format, with core fields including full financing entity name, financing method classification, financing amount (unit: ten thousand yuan), annualized financing interest rate, remaining term, expiration date, and business handling institution. Data rows are sorted in reverse order of financing occurrence time. The number of entries per daily report varies based on that day’s interbank and credit business volume, with no fixed row limit.
Constraints imposed on workflow orchestration by these characteristics
The multi-source data nature requires configuring parallel data source nodes in the workflow, to prevent missing daily report data due to a single interface failure. The daily end-of-day update rhythm requires aligning workflow trigger times with the data generation window, to avoid incomplete data caused by early pulling. The structured table format requires configuring a field mapping extraction node to accurately retrieve target fields, eliminating errors from unstructured parsing. The standardized unit for multiple fields (such as financing amount measured in ten thousand yuan) requires configuring unified numerical processing logic to remove unit differences across data sources. A validation rule must be added for the expiration date field to filter entries with abnormal formats or already expired items, ensuring valid input for subsequent processes.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
workflow_trigger_cron | 0 22 * * * (triggers daily at 22:00) | Matches the daily end-of-day update window for urban commercial bank financing daily reports, ensuring full daily data is pulled |
multi_source_parallel | Enable parallel pulling | Multi-data source interface pulling takes significant time; parallel execution shortens the overall workflow cycle |
structured_field_extract_mode | Extract via field mapping | Financing daily reports are structured tables; field mapping enables accurate extraction of target fields and avoids redundant data |
numeric_unit_convert | Uniformly convert to ten thousand yuan | The core financing amount field uses ten thousand yuan as the unit; unifying units eliminates cross-data source unit differences |
date_validation_rule | Filter entries earlier than the current date | Retain unexpired financing businesses and filter expired data to ensure validity for subsequent analysis |
http_node_template_compat | Enable {{}} format compatibility | Reference the fix notes for version V4.8.18-FIX2, compatible with {{}} format variable references in workflows to avoid syntax errors |
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. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: When pulling the financing daily report interface via an HTTP node, variable references return empty values or parsing fails. Cause: The
http_node_template_compatconfiguration is not enabled, the old/variable extraction mode is still used, and {{}} format variable references are not compatible. - Phenomenon: Global variables of custom type "knowledge base selection" cannot have conditions configured in the judge node; the judge node skips directly or triggers an exception. Cause: The output format of the global variable is not configured as a structured type recognizable by the judge node, causing the condition matching logic to fail to read the variable value.
- Phenomenon: After the workflow executes to the large model processing node, the AI has generated a reply but the subsequent result distribution node does not trigger, and the process terminates early. Cause: Trigger dependencies between nodes are not correctly configured, or the workflow's automatic restart mechanism is not enabled, causing the process to not continue subsequent steps after the AI reply is generated.
How to confirm the configuration is complete
- View the workflow trigger logs to confirm automatic triggering at the specified daily time, with no abnormal manual trigger records.
- Check the pull result preview of the data source node to confirm all configured fields can be extracted normally, with no missing or abnormally formatted items.
- Run test financing daily report data samples to verify that the outputs of the numerical conversion, date verification, and classification extraction nodes meet the expected rules.
- Simulate a full workflow execution to confirm that the output of each node can be normally referenced by subsequent nodes, with no link interruptions.
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.