What the data for this category looks like
Data is primarily sourced from daily monitoring data of domestic bulk commodity spot trading platforms and daily settlement ledgers of feed ingredient traders. The update cadence is daily T+1, with full datasets for the previous trading day released each day. The data is organized as structured tables, including fields such as feed variety name, daily average transaction price, minimum transaction price, maximum transaction price, delivery warehouse location, supplier registration number, total transaction volume, and more. The unit of measurement is uniformly yuan/ton. Some segmented varieties such as premix include optional formula proportion reference fields. These fields are not required daily, and are only recorded when transactions exist for the corresponding batch.
What constraints these characteristics impose on workflow orchestration
Feed financing daily report data is scattered across multiple types of spot trading platforms and enterprise ledgers, and updates only once per day. This requires the workflow to be configured with a scheduled trigger node, with the trigger time set later than the data source’s release time, to avoid pulling invalid data that has not completed settlement. Different data sources have inconsistent field naming: for example, some platforms label the average feed price as "transaction price". A field mapping node must be added to the workflow to standardize field names to standard formats. Some segmented varieties include formula proportion fields, so optional field validation rules must be configured to only process data when corresponding entries exist, preventing workflow interruptions caused by empty fields. Additionally, transaction data uses a uniform unit of yuan/ton, so a unit matching rule must be added during the data validation stage to filter abnormal entries that do not meet the unit requirement.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_schedule | Daily 03:00 trigger | Most data sources complete daily data settlement before 2:00 AM each day, so 03:00 ensures complete updated datasets are pulled |
multi_source_merge_strategy | Prioritize industry platform data, supplement with local transaction records from enterprise ledgers | Industry platform data has wider coverage, while enterprise ledgers can supplement local supplier transaction information not included on platforms |
field_mapping_rules | Map "transaction price" to "daily average transaction price", map "batch_total" to "total transaction volume" | Most data sources have field names that differ from standard fields, and unified mapping ensures consistency in subsequent data processing |
data_validate_threshold | Set conventional price ranges by variety | Price ranges vary across feed varieties, and setting ranges by variety enables precise filtering of abnormal data |
optional_field_handle | Skip empty value fields, do not interrupt workflow | Formula proportion fields for some segmented varieties are not required daily, and skipping these prevents workflow errors caused by empty fields |
workflow_timeout | 600 seconds | Average time for multi-source pulling and field processing is approximately 300-450 seconds, and 600 seconds covers unexpected network latency |
The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- The symptom is a "missing required parameter" error returned when calling an MCP node, with a 400 status code. The cause is that no parameter collection node is configured in the workflow, and multiple supplementary parameters required by the MCP are not requested from the workflow caller in advance.
- The symptom is that global variables in the workflow are not retained after a session ends, and variable values are empty when the workflow starts again. The cause is that the
session_persistparameter is not configured, and session variable persistent storage is not enabled. - The symptom is that the number of feed variety data entries returned after workflow execution does not match expectations, with only half the expected number of results. The cause is that no deduplication rule is configured for multi-source data merging, causing the same transaction record to be pulled repeatedly by multiple data sources.
How to Confirm Proper Configuration
- Manually trigger the workflow once, check if the pulled data source includes complete daily feed variety entries, and verify that the mapped field names match the standard fields.
- Simulate triggering abnormal data, such as entries with a unit other than yuan/ton, and check if the workflow correctly flags abnormalities and continues execution.
- Test the persistence of session variables, set and assign a global variable in the workflow, restart the session, and check if the variable is retained.
- Check the scheduled trigger execution logs to confirm that the workflow automatically triggers at the preset daily time and pulls updated 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.