What This Category of Data Looks Like
Data for intelligent due diligence reports for urban commercial banks originates from four sources: local bank credit management systems, the People's Bank of China Financial Credit Information Basic Database, local banking and insurance regulatory bureau regulatory submission ledgers, and regional development and reform commission industrial economy monitoring data.
Basic subject information is updated daily. Financial data is synced quarterly. Regulatory ledger data is updated monthly.
Data documents are split into structured field packages and unstructured attachments. Structured fields include subject unified social credit code, credit approval amount, net capital, number of affiliated enterprises, and more. Units for these fields are ten thousand yuan, hundred million yuan, and count, respectively. Unstructured attachments include due diligence interview minutes, scanned mortgage appraisal reports, and similar materials.
Constraints Imposed on Workflow Orchestration
Different update frequencies require layered scheduled trigger nodes in workflow configurations. This prevents repeated pulling of outdated data or missing latest information.
Differences in field naming across multi-source data require adding standard mapping nodes in the workflow. This ensures accurate association of subject data from different systems.
Diversity in formats and sizes of unstructured attachments requires configuring multi-format parsing nodes and sharding processing logic. This prevents parsing timeouts or failures.
Compliance checks require embedding fixed nodes. These nodes conduct compliance checks on fields such as related transactions and capital adequacy ratio, to ensure due diligence reports meet regulatory requirements.
How to Set Configurations
| Configuration Item | Recommended Practice | Rationale for This Setting |
|---|---|---|
Scheduled Trigger Cycle | Pull basic information at 0:00 daily, pull financial data at 5:00 on the first day of each quarter | Matches the update rhythm of different data types for urban commercial banks |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to parsing time for large-format mortgage appraisal reports |
Multi-source Data Pull Concurrency | 5 concurrent requests | Avoids exceeding current limiting thresholds of external interfaces |
Structured Field Mapping Rules | Use unified social credit code as the primary key to associate multi-source data | Ensures accurate matching of subject data from different systems |
Global Variable Retention Duration | 7 days | Meets compliance audit requirements for retaining process data |
Node Log Switch | Enabled, log retention duration set to 7 days | Facilitates troubleshooting of workflow runtime exceptions |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to conduct tests on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: No printed logs appear in code nodes after workflow runs, and output content cannot be viewed when debugging code nodes individually. Cause: The node log switch is not enabled, or the log retention duration is set too short, causing logs to be automatically cleared.
- Phenomenon: After modifying input parameters of a custom component, the parameters do not take effect during workflow runtime. Cause: The workflow version is not republished, or the modified parameters are not bound to input items of downstream nodes.
- Phenomenon: When clicking a button in the data panel component, the obtained global variables are empty or unassigned. Cause: The global variable assignment node is not executed before the button trigger, or the variable scope is set to only the current node, not global.
How to Confirm Proper Configuration
- Manually trigger the workflow once. View runtime logs for each node, confirm that multi-source data is pulled successfully and field matching is correct.
- Adjust the test time of the scheduled trigger. Verify that the scheduled task triggers as expected and pulls corresponding data.
- Modify parameters of core nodes, republish the workflow and run it. Confirm that parameter modifications take effect.
- Trigger the button in the data panel component. Check whether the values of global variables match the actually pulled data.
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.