What Data for This Category Looks Like
Data related to dairy product yield rates is primarily used for industry analysis in the financial sector. Data sources include industry submission data from national dairy industry associations, POS collection data from offline retail terminals, and public operating data from leading dairy enterprises. Data updates are completed daily at midnight for full previous-day data. Users can pull data by product category or detailed SKU. Most data is provided as structured CSV files, with fields including product category, detailed SKU code, terminal price range, channel share, and daily average price. Units include yuan per liter, yuan per kilogram, yuan per 250ml standard carton, and similar. No semi-structured or unstructured free text content is included.
Constraints Imposed on Workflow Orchestration
Dairy product data comes from multiple dispersed sources and requires cross-source merging. Workflows must be configured with multiple HTTP request nodes to pull information from different data sources, then complete data merging via field association. Data updates only occur once per day, so workflow scheduled triggers must match the update rhythm to avoid frequent pulls that cause interface rate limiting. Different dairy product packaging uses varying units, so workflows must add a step to unify units to ensure consistent subsequent yield rate calculations. Some fields for niche SKUs may have null values, so workflows must configure null value filtering rules to prevent exceptions in later calculations.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TRIGGER_SCHEDULE | 0 2 * * * | Matches the T+1 update rhythm of dairy product data. Pulling data at 2 AM daily ensures complete previous-day data is obtained |
HTTP_REQUEST_TIMEOUT | 300 seconds | Covers the waiting time for multi-source data pulls, preventing run failures caused by slow interface responses |
FIELD_MAPPING_RULE | Merge via product category + SKU code | Ensures unique matching of multi-source data, avoiding duplicate or misaligned merge results |
UNIFY_UNIT_SWITCH | Enabled | Unifies price units for differently packaged dairy products, eliminating the impact of unit differences on yield rate calculations |
ERROR_RETRY_TIMES | 2 times | Addresses occasional fluctuations in retail POS interfaces, reducing the probability of workflow interruptions caused by a single failed request |
PARSE_CSV_HEADER | Auto-detect | Adapts to dynamic adjustments of dairy product data fields, reducing configuration maintenance workload |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: The workflow run preview page displays data normally, but no relevant content appears in the chat interface. Cause: The workflow's output node is not configured for shareable context output mode, and only outputs data temporarily during preview.
- Symptom: A form-data type HTTP request is configured in the workflow, and a 400 error is returned after sending the request with a file type parameter selected. Cause: The MIME type of the uploaded file is not specified, or the uploaded file size exceeds the
UPLOAD_FILE_MAX_SIZElimit. - Symptom: A
Load file errorprompt appears when comparing dairy product data files in the workflow. Cause: The uploaded file format does not meet the preset CSV requirements, or the file encoding is not UTF-8, causing parsing failure.
How to Verify Correct Configuration
- Manually trigger the workflow once, check that the return status codes of all HTTP requests in the run log are 200, and verify that merged fields are complete.
- Access the chat interface, send the corresponding query command, and check that the returned results include all complete field information for dairy product yield rates.
- Wait for the preset scheduled trigger time to arrive, and check that a successful execution instance is generated in the workflow run records.
- Upload a test dairy product data file, verify that file parsing and parameter transfer work normally, and confirm no error prompts appear.
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.