What the data for this category looks like
Data sources for rural commercial bank yield and daily market quotes include internal accounting systems for the bank’s own deposit, loan, and wealth management products, plus regional interbank interest rate market interfaces published by the People’s Bank of China. Data is collected daily at day’s end, and released to external users on the next business day (T+1 morning). The data is provided as structured tables. Fields include statistical date, product code, full product name, product type, benchmark yield, actual yield, year-over-year change rate, and statistical scope description. Yield-related fields use percentage units. Amount-related fields use ten thousand yuan units. Statistical dates follow the YYYY-MM-DD standard format.
Constraints imposed by these characteristics on workflow orchestration
The bank’s data sources split into internal core systems and external regional market interfaces. Workflows must configure corresponding data source plugins separately. Workflows must also handle field alignment across cross-source data. Data updates follow a T+1 schedule. Workflows must set a daily scheduled trigger that runs after day-end data collection completes. This avoids pulling incomplete same-day data. Structured documents have fixed fields including statistical scope descriptions. Workflow nodes must strictly match field names. Otherwise, broadcast content will contain ambiguity. The bank’s product types cover both in-house and consigned categories. Workflows must add a classification filter node to screen broadcast content per requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Scheduled Task Trigger Time | Daily 20:30 | Matches the bank’s day-end data collection completion time, avoids pulling incomplete same-day data |
API Request Timeout Threshold | 300 seconds | Adapts to the response speed of the bank’s internal core system interfaces, reserves sufficient pull time |
Field Matching Validation Switch | Enabled | Ensures structured data fields strictly align with the field names required by the broadcast template, avoids missing critical information in broadcast content |
Multi-Source Data Merge Rule | Associate by statistical date + product code | Matches the unique identifier fields of the bank’s data, ensures accurate merging of internal accounting data and external market data |
Exception Retry Count | 2 times | Addresses occasional fluctuations in regional market interfaces, reduces workflow interruption probability |
Result Formatting Template | Display grouped by product type | Adapts to the bank’s user habit of viewing data by business line, improves broadcast readability |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by data format, 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 Mistakes
- Issue: When calling a knowledge base search plugin in a workflow, the target knowledge base shown in the interface does not match the actually called knowledge base. Returned results include content from unrelated knowledge bases. Cause: The plugin configuration did not bind the bank-specific knowledge base ID via a variable, and the global default knowledge base configuration was used instead.
- Issue: After an advanced orchestration tool call node executes, the workflow log shows a
400 Bad Requesterror code, with no valid results returned. Cause: The tool’s request parameters were not configured correctly, and the requiredstatistical datefield for the bank’s data was omitted. - Issue: When triggering a workflow via API, the passed
product typeparameter does not appear in the workflow output, and the broadcast content includes unspecified product types. Cause: The variable was not declared in the workflow entry parameter configuration, so the API-passed parameter was not recognized by the workflow.
How to Confirm Proper Configuration
- Manually trigger the workflow once, verify that the statistical date of the pulled data matches the preset business date, and that fields align with the workflow template requirements.
- View the workflow run log, confirm that the multi-source data merge node completed data integration per the preset association rules, with no missing fields or matching errors.
- Call the test interface with a specified product type parameter, confirm that the final broadcast output only includes product data for that type.
- Trigger an exception test by disconnecting the external data source interface, confirm that the workflow executes retries per configuration and triggers an alert.
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.