What this category of data looks like
Livestock and poultry farming financing daily report data comes primarily from three sources: internal ERP systems of breeding entities, public ledgers from local livestock husbandry authorities, and financing ledgers from cooperating financial institutions. Data is updated daily at midnight, with full synchronization of the previous natural day’s data. Each daily report uses a fixed structure, including these fields: breeding entity identification, current day’s livestock on hand and livestock sold volume, feed consumption costs, current day’s financing application details, approval progress, and corresponding credit limit. Livestock on hand volume is measured in ten thousand heads or ten thousand birds. Financing-related fields use ten thousand yuan as the unit. Production-related fields retain their original measurement precision.
Constraints on workflow orchestration from these data characteristics
Multiple data sources require the workflow to support parallel data pulling from different channels using multiple input nodes, followed by field alignment. Fixed update frequency requires the workflow to have a scheduled trigger rule, set to run on a natural daily cycle. Fields with multiple unit types require the workflow to include a unit verification step, to check format and unit matching for fields like livestock on hand volume and financing limits. Fluctuating data volume based on the number of breeding entities requires the workflow to have reasonable timeout thresholds and pagination pulling logic, to prevent single request timeouts. Compliance requirements for finance-related fields require adding a sensitive information verification node to filter classified or sensitive data.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
trigger_type | scheduled trigger, set trigger time to 02:00 daily | Financing daily reports use the previous day’s data, so execution must run after data synchronization completes that midnight |
data_source_pull_mode | parallel pull, set parallel count to 3 | Covers the three data source types (ERP, livestock husbandry station, financial institutions), avoids excessive serial pull time |
field_unit_check | enabled, verify fields include ten thousand heads, ten thousand birds, and ten thousand yuan units | Matches the fixed unit rules for daily report fields, prevents cross-unit calculation errors |
request_timeout | 600 seconds | Covers total time for multi-data-source pulling and field verification |
max_parallel_tasks | 5 parallel tasks | Matches the upper limit of breeding entities processed per batch, avoids resource overload |
sensitive_info_filter | enabled, filter unified social credit codes | Complies with financial data compliance requirements |
The parameter values provided on this page are common recommended starting points 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
- Issue: The workflow only starts after a user sends a chat message, and cannot run automatically per the daily scheduled rule. Cause:
trigger_typeis not configured as a scheduled trigger, and the default manual trigger mode remains in use. - Issue: When generating a financing daily report via API call, the specified breeding entity ID and statistical date parameters do not take effect, and result fields are empty. Cause: Corresponding variables are not correctly assigned in the
global_varsparameter of the API request, and the parameter key name does not match the variable name configured in the workflow. - Issue: The generated daily report references expired industry financing interest rate data from the knowledge base, and the data is not automatically identified and corrected. Cause: No knowledge base reference verification node is added to the workflow, and no corresponding verification rules are configured.
How to confirm correct configuration
- Enter the workflow’s trigger settings interface, and verify that the
trigger_typeconfiguration matches the preset execution cycle requirements. - Send an API test request with preset global variable parameters, and verify that returned results match the submitted parameters.
- View the workflow execution logs, confirm that nodes such as field verification and sensitive information filtering run normally with no error messages.
- Open the node’s variable binding panel, confirm that the multi-variable reference function is enabled, and multiple data source fields can be selected simultaneously.
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.