What This Category of Data Looks Like
Livestock and poultry farming research reports are core industry analysis materials for financial institutions and wealth management service providers. Data sources include agricultural and rural department monitoring data, industry association monthly reports, regular announcements of listed breeding enterprises, and special research reports from third-party research institutions. Updates follow monthly and quarterly schedules, with temporary reports released alongside sudden disease outbreaks or price fluctuations. Document structures include core fields such as livestock inventory, slaughter volume, feed cost, disease monitoring, and product prices. Common units include head, ton, yuan/kilogram, and yuan/ton. Some cross-source reports use inconsistent unit labeling.
Constraints for Document Parsing and Chunking
Quantitative data in livestock and poultry farming research reports has strong correlations. Each content chunk must retain the link between livestock inventory and its corresponding price. This prevents loss of valid question-and-answer context after splitting. Parsing long multi-page documents takes extended time, so longer timeout thresholds must be supported. Some reports include non-standard charts and handwritten annotations, so structured field extraction and chart text restoration must be enabled. Temporary reports have inconsistent formats, so parsing logic must support multiple document templates.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Livestock and poultry farming research reports often contain multi-page charts and structured tables, leading to long parsing times |
chunk_size | 800–1200 characters | Ensures complete context for associated quantitative data such as livestock inventory and prices is retained |
chunk_overlap | 150–200 characters | Prevents breaks in structured data associations across chunks |
enable_structured_parse | Enabled | Supports extraction of standardized breeding data fields in research reports |
enable_excel_parse | Enabled | Supports common Excel-format statistical tables in livestock and poultry farming research reports |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports full upload of a single quarterly research report |
marker_pdf_timeout | 900 seconds | Prevents long PDF parsing timeouts in private deployments |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- The interface reports successful file parsing, but the model does not reference quantitative data from the document. This occurs when chunking parameters split livestock inventory and corresponding prices into separate text chunks, breaking context association.
- A
504 Gateway Timeouterror is triggered. This occurs when thePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and long document parsing exceeds the default timeout limit. - Some research reports fail automatic parsing in simple mode 4.8.9. This occurs when automatic parsing trigger rules are not updated to match the report’s PDF or Excel format, and parsing permissions are only determined by fixed file extensions.
- Timeout occurs during markerpdf parsing in private deployments, even though the parsing server reports success. This occurs when the `markerpdf_timeout` parameter is not adjusted, and the platform-side timeout threshold is shorter than the setting on the parsing server.
How to Verify Correct Configuration
- Upload a quarterly livestock and poultry farming research report, review the parsed text chunks, and confirm core fields such as livestock inventory and prices are not split across different chunks.
- Test uploading a single research report of approximately 500 MB, and confirm the upload and parsing process does not produce timeout errors.
- Run a question-and-answer session using the parsed document, ask a question that includes core quantitative data, and confirm the model accurately references the corresponding content.
- Check the platform parsing logs, and confirm structured field extraction results match the original document content.
- Upload an Excel-format breeding statistical report, and confirm complete table data is extracted after parsing.
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.