What the Data for This Category Looks Like
Livestock and poultry farming financial report data originates from three primary sources: publicly monitored data from the Ministry of Agriculture and Rural Affairs, annual and quarterly disclosure reports of listed farming enterprises, and monthly statistical reports from local animal husbandry stations. This data supports enterprise evaluation for financial scenarios. Update cycles follow monthly and quarterly schedules, with some real-time farming ledgers updated daily. Document structure splits into two categories: structured reports and unstructured text. Structured reports include fields such as inventory volume, slaughter volume, total feed consumption, per-head farming cost, and epidemic prevention expenditure. Most units are industry-specific, including ten thousand heads, tons, yuan per head, and kilograms. Unstructured text includes content such as farming logs and epidemic prevention records.
Constraints on Workflow Orchestration
Dispersed multi-source data from livestock and poultry farming financial reports requires workflows with multiple data retrieval nodes, connecting to public APIs, internal enterprise storage, and document upload portals separately. Frequently updated monthly and quarterly data needs scheduled trigger rules in workflows, to avoid delays from manual triggers. Industry-specific fields and units require field mapping and unit conversion nodes in workflows, to ensure consistent data formats across sources. Unstructured farming log content needs text parsing and keyword extraction nodes added to workflows, to generate supplementary content for analysis reports. Large volumes of ledger attachments may cause single-task data volume to exceed general configuration limits, requiring adjustments to relevant storage and processing parameters.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
WORKFLOW_EXEC_TIMEOUT | 1200–1800 seconds | Livestock and poultry farming financial reports include core data such as multi-period inventory and costs. The time required to process a complete single financial report is longer than general scenarios, so execution timeout must be extended |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single PDF or Excel file of a farming financial report may contain multiple batches of farming ledgers, leading to long parsing times. This avoids premature interruption of the parsing process |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Financial report attachments for farming may include compressed packages of several months of farming logs, resulting in large single-file volume. This relaxes the upload size limit |
RECALL_TOP_K | Top 8 entries | Core analysis fields for livestock and poultry farming financial reports are concentrated in inventory, slaughter, and cost categories. Recalling too many irrelevant data points reduces analysis efficiency |
TAVILY_API_MAX_RESULTS | Top 5 entries | Authoritative sources of public animal husbandry data are concentrated. Too many search results increase workflow processing load and redundant data |
MAX_CONTEXT_LENGTH | 8000–12000 characters | Analysis text for farming financial reports includes multi-dimensional data comparisons, requiring sufficient context to generate structured reports |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. Testing on local samples is recommended before finalizing settings.
Three Common Misconfigurations
- A workflow node throws a
premature closeerror. This occurs when the size of a single-process farming ledger data shard is too large, causing an early HTTP connection interruption. - A workflow fails to retrieve target animal husbandry data after calling Tavily search. This occurs when industry-specific search keywords are not configured, leading to search results that deviate from the farming financial report theme.
- A workflow triggers a timeout when processing multiple livestock and poultry farming financial reports in batch. This occurs when the
WORKFLOW_EXEC_TIMEOUTparameter is not adjusted, and the short timeout setting for general scenarios is retained.
How to Verify Successful Configuration
- Upload a sample livestock and poultry farming financial report file, and confirm the parsing process completes within the time limit set by
PARSE_FILE_TIMEOUT_SECONDS. - Run the workflow once, and confirm the number of results returned by the search step matches the setting for
TAVILY_API_MAX_RESULTS. - Submit simulated batch data, and verify the workflow execution duration falls within the range set by
WORKFLOW_EXEC_TIMEOUT. - Check the generated financial report to confirm core fields such as inventory volume, slaughter volume, and feed consumption are included. Confirm field extraction is complete and unit conversion is correct.
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.