What the Data for This Category Entails
Data required for livestock and poultry farming financial report analysis comes primarily from three sources: daily production logs of large-scale farms, monthly monitoring announcements released by livestock industry authorities, and regular disclosure documents from listed operating entities. The core update cycle is monthly. Quarterly financial reports integrate core metrics across the full quarter, including inventory count, slaughter volume, feed consumption, and epidemic prevention costs. Most documents take the form of structured tables, with fields such as inventory count, slaughter volume, unit weight gain cost, and profit per head. Some disclosure documents include unstructured notes on disease prevention and capacity adjustment.
Constraints for Deployment and Upgrade
Monthly updated data sources require incremental sync tasks during deployment. This avoids excessive compute resource usage from full data pulls. Mixed document formats of structured tables and unstructured notes require separate table parsing rules and long-text chunking strategies. This matches recall accuracy requirements for different content types. Diverse field units, such as inventory count using both head and ten thousand head, require unit standardization mapping rules in the data preprocessing stage. Quarterly report integration requirements demand new cross-month data aggregation nodes during upgrades. This supports full-cycle data calls for report generation.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Livestock and poultry farming financial reports often include multiple monthly logs and industry summary tables. The single bulk upload file limit must fit bulk import requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Industry summary financial report documents have complex structures with multi-dimensional tables, requiring sufficient parsing time |
maxContext | 8000–12000 characters | Core indicator paragraphs of single financial reports fall in the thousands-of-characters range, supporting long-text recall needs |
Recall Count | Top 6 entries | Core indicators of livestock and poultry farming financial reports are scattered across different table paragraphs. A sufficient number of associated fragments must be recalled |
Similarity Threshold | 0.72–0.78 | Financial report field descriptions are highly standardized. A threshold that is too low will introduce irrelevant data, while a threshold that is too high will miss associated indicators |
Scheduled Sync Interval | Once per month | Matches the monthly data update rhythm of industry authorities, ensuring timeliness of data sources for financial report analysis |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: In workflow version 4.9.0, API calls return empty values for custom variable-stitched livestock inventory fields. Stitching works normally in debug mode. Cause: Structured field mapping variables were not correctly passed in the
variablesparameter of the API request, causing variable parsing failure in the workflow. - Phenomenon: Docker container remains stuck in the startup loop and cannot enter the ready state. Cause: The
MONGO_URIenvironment variable was not configured correctly, or the local MongoDB service failed to start normally, preventing the container from establishing a connection to the dependent service. - Phenomenon: The
npm listcommand cannot query the mongoose version, but a dependency declaration exists in the package.json file. Cause: The FastGPT container uses a layered build mechanism for dependency installation. The global npm command cannot access the project dependency directory inside the container. The corresponding query command must be executed from inside the container.
How to Confirm Successful Configuration
- Upload a livestock and poultry farming monthly financial report document. Check if the parsed structured fields include core indicators such as inventory count and slaughter volume to confirm that the parsing rules are active.
- Initiate an API call with preset variable parameters. Check if all custom variable content is correctly stitched in the returned results to verify workflow configuration.
- View container logs to confirm that the scheduled sync task triggers at the preset interval, and there are no data pull or parsing errors, to verify sync configuration.
- Attempt to adjust the similarity threshold in the configuration interface. Observe changes in the number of recall results to confirm that the threshold configuration affects recall logic as expected.
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.