What Data for This Category Looks Like
Yield rate data for the multi-financial category originates from three primary sources: daily valuation disclosures by licensed non-bank financial institutions, professional market APIs, and compliant public reports. Data is generated in batches after daily market close. Some exchange-traded products also push temporary intraday volatility data. Each data document ties to one product. It includes fields such as product identifier, statistical cycle, unit net value, cumulative net value, annualized yield rate, and interval yield rate. Numeric fields use percentage or Chinese yuan as units. The entire data structure is flat, with no nested layers.
What Constraints These Characteristics Impose on Workflow Orchestration
The daily batch update requirement mandates fixed scheduled trigger nodes for workflows. This prevents repeated pulling of expired data. The flat multi-field structure requires workflow nodes to follow standardized field mapping rules. This stops field misalignment during processing. Licensed institution data sources impose API rate limits. Workflows must include retry mechanisms and concurrency threshold controls. Intraday temporary data for exchange-traded products requires workflows to support on-demand trigger branch nodes. This differentiates processing logic for daily reports and real-time market data.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_cron | 0 30 18 * * * | Matches the daily yield rate report generation time of most non-bank financial institutions, ensuring latest data is pulled |
max_concurrent | 2–5 | Avoids exceeding rate limits of licensed institution APIs, while maintaining data pulling efficiency |
retry_max_times | 3 | Balances failure retry success rate for single API requests and total workflow runtime |
field_mapping_mode | strict | Adapts to the standardized field structure of multi-financial yield rate data, preventing field mapping misalignment |
workflow_timeout | 600 seconds | Covers average runtime for batch pulling data across multiple product categories, preventing premature task termination |
branch_condition | market_type IN ['on-exchange', 'otc'] | Differentiates data processing logic for exchange-traded and over-the-counter products |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require targeted analysis. Testing on local samples prior to finalizing configuration is advised.
Three Common Mistakes
- Parallel execution of tool nodes throws
429 Too Many Requestserrors. The cause is failure to configure themax_concurrentparameter, leading to simultaneous calls to multiple data source APIs that trigger rate limits. - Data mixing occurs when multiple workflows run simultaneously. The cause is failure to configure independent product identifier parameters for each workflow instance, leading to data overwriting between tasks.
- Workflow nodes lack audio configuration options. The cause is audio configuration is only supported on conversational Agent nodes, and workflow orchestration nodes do not include this setting by default.
How to Confirm Correct Configuration
- Workflow trigger logs may be reviewed to confirm daily scheduled tasks start automatically at the set time, with no duplicate trigger records.
- A test API call may be made to pull a single product's data, verifying that field mapping results match the original data's field order.
- A rate limit scenario may be simulated to trigger retries, confirming tasks automatically terminate and generate error logs after reaching
retry_max_times. - Branch trigger conditions may be switched, verifying different product types route to their corresponding processing nodes with no missing branches.
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.