What the Data for This Category Looks Like
Data sources include public quotes from the National Animal Husbandry Station, factory monitoring data from feed manufacturers, and sampled data from regional wholesale markets. Update cadence varies by category: staple grain feed ingredients are updated daily, while compound feed is updated weekly. Most documents are structured CSV files or JSON returned by API interfaces. Fields include category name, origin, price unit, daily price, weekly average price, and price change value. The unit is uniformly yuan/ton; some imported categories include an exchange rate conversion field.
How These Characteristics Impact Workflow Orchestration
The differentiated update cadence of daily updates for staple grain ingredients and weekly updates for compound feed requires configuring tiered scheduled trigger rules by category in the workflow, to avoid task omissions or duplicate calls caused by unified scheduling. The multi-field requirements of structured data require embedding non-empty validation nodes in the workflow to ensure the integrity of core fields such as category name, origin, and price. Failure to do so will lead to errors in subsequent yield rate calculations. The need for batch calls to API interfaces requires configuring throttling parameters to adapt to the call frequency limits of different data sources, avoiding triggering rate limits. The exchange rate conversion field included for imported categories requires an additional exchange rate interface node in the workflow to complete dynamic conversion during the price calculation phase.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Scheduled Task Trigger Cycle | Tiered by category: set to 00:00 daily for staple grain ingredients, 00:00 every Monday for compound feed | Matches the update cadence of different categories, avoids task omissions or duplicate execution |
API Call Throttling Threshold | 100 requests per minute | Adapts to the frequency limits of daily batch data pulling, avoids triggering interface rate limits |
Field Validation Rules | Validate the three required fields: category name, origin, daily price | Ensures the integrity of structured data, avoids errors in subsequent yield rate calculations |
Data Parsing Format | Prioritize JSON, compatible with CSV format | Matches the return formats of most data sources, reduces format conversion overhead |
Workflow Node Timeout Period | 600 seconds | Adapts to the time consumption requirements of multi-source data pulling and batch calculations |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The workflow returns inconsistent results with expectations, and the log shows that the
modelparameter does not match the task type. Cause: The data processing model was not selected according to the yield rate calculation requirements, and a question-answering model was mistakenly connected to the data validation phase. - Phenomenon: The scheduled task only runs once and then stops, and the interface shows the
task timeoutstatus code. Cause: The trigger cycle was not adjusted according to the feed data update cadence, and a unified daily cycle was set, leading to failed weekly data pulling for compound feed categories. - Phenomenon: The text2sql node returns empty results, and the log shows
field does not exist. Cause: No field validation step was added to the workflow, and abnormal data with missing required fields was not filtered out, leading to SQL queries failing to match corresponding fields.
How to Confirm Proper Configuration
- Check the scheduled task logs to confirm that the trigger times for different categories match the preset tiered cycles.
- Manually trigger the workflow, input data with missing required fields, and confirm that the field validation node correctly intercepts abnormal data.
- Test API calls to confirm that no rate limit errors are triggered under the preset call frequency.
- Verify the workflow's model node to confirm that it can switch to adapt to the current task's model type.
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.