What the data for this category looks like
Data sources for aquaculture profit margin broadcasts include pond market data from domestic fishery monitoring stations, daily transaction ledgers from regional aquatic product wholesale markets, and feeding and growth data uploaded by IoT terminals at aquaculture bases. Full previous day data is aggregated and updated every early morning. Monthly summary data for some regions is released before the 5th of each month. Most documents use structured table formats, with fields including aquaculture variety, daily purchase price, feed unit consumption, labor cost, and daily slaughter volume. Pricing units are mostly yuan per kilogram or yuan per 500 grams. Some data sources have inconsistent units.
What constraints do these characteristics impose on workflow orchestration?
Multi-source heterogeneous data sources require configuring multiple data source pull nodes. Connect these nodes to fishery monitoring platforms, wholesale market ledger APIs, and aquaculture base IoT terminals separately. This prevents missing information from single-node pulls. The daily early morning update schedule requires setting the scheduled trigger node between 1:00 and 3:00 AM. This ensures complete previous day data is pulled. Inconsistent fields and units require configuring field mapping and unit conversion nodes. These nodes standardize pricing units from different data sources to standard formats, and align field names to support subsequent profit margin calculations. Multi-variety classification requires configuring conditional branch nodes. These nodes filter corresponding data subsets based on specified aquaculture varieties, avoiding mixing data from different categories.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
TRIGGER_SCHEDULE | Daily trigger at 01:30 | Aquaculture market and cost data is updated between 0:00 and 1:00 AM daily. Triggering 30 minutes later ensures complete previous day data is pulled |
MULTI_DATASOURCE_ENABLE | Enabled | Aquaculture data comes from three independent sources: fishery monitoring platforms, regional wholesale markets, and aquaculture base IoT terminals. Multi-source information must be integrated |
FIELD_MAPPING_TEMPLATE | Align fields by "aquaculture variety", "daily purchase price", "feed unit consumption", "daily slaughter volume" | Different data sources have inconsistent field naming. Unifying fields simplifies subsequent profit margin calculation logic |
UNIT_CONVERSION_FACTOR | 2 | Some data sources use yuan per kilogram as pricing unit, others use yuan per 500 grams. A coefficient of 2 aligns units |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Historical aquaculture ledger documents are usually lengthy. Sufficient parsing time must be reserved |
WORKFLOW_CONDITION_FILTER | Filter specified variety subsets by "aquaculture variety" | Profit margin must be calculated separately for different aquaculture varieties to avoid data mixing |
The parameter values given on this page are common recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Symptom: After migrating workflows from version 4.8, scheduled trigger nodes fail to execute as expected. Cause: The configuration format of
TRIGGER_SCHEDULEin the new version differs from the old version. The standard cron expression supported by the new version has not been updated. - Symptom: Model-generated profit margin calculation results cannot be exported as structured documents. Cause: The
DOCUMENT_EXPORTnode is not added, or the output format is not set to table. This results in only plain text fragments as output. - Symptom: After uploading aquaculture ledger files, the document parsing node returns an empty result or
PARSE_FAILEDerror. Cause:FIELD_MAPPING_TEMPLATEis not configured to align fields, or theUPLOAD_FILE_MAX_SIZEparameter is set too small, causing large file parsing failure.
How to Verify Correct Configuration
- Manually trigger the workflow once. Check the return fields of each data source pull node, confirm they match the configured mapping rules.
- View the execution logs of the scheduled trigger node. Confirm the trigger time matches the preset cron expression, and the pulled data time range is correct.
- Run the calculation link of the workflow. Check if the output result units are aligned and fields are complete.
- Upload test aquaculture ledger files. Confirm the document parsing node can parse normally and return valid data without error messages.
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.