What Data for This Category Looks Like
Data for this category primarily comes from regularly disclosed PDF reports of listed livestock and poultry farming enterprises, internal breeding production ledger documents, and monthly/quarterly industry monitoring documents released by industry associations. Update cycles center on quarterly and annual periods, with some production data updated weekly. Most documents use a structure of tables nested within paragraphs, and include fields such as inventory volume, slaughter volume, feed consumption, and unit breeding cost. Field units are mostly concrete measured values such as head, ton, and yuan. Some notes include detailed data broken down by product category and region.
Constraints on Parsing and Chunking From These Data Characteristics
The data characteristics of this category create multiple constraints for parsing and chunking: First, multi-table nested and cross-page document structures can easily cause cell misalignment during parsing, and cross-page tables may be truncated. Second, fields are tightly bound to units. Different product categories such as pigs and broilers use different measurement units. The corresponding relationship between fields and units must be linked to avoid incorrect unit recognition. Third, financial report notes contain large amounts of detailed data. It is necessary to accurately distinguish between the main text and note areas to prevent detailed content from being incorrectly merged into business section chunks. Finally, document lengths vary significantly across different cycles. Chunking logic must be adapted to different document lengths to avoid loss of key information in long document chunks.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
PARSE_TABLE_ENABLE | true | Livestock and poultry farming financial reports often contain nested tables. Enabling this setting preserves the core table structure and prevents content loss |
PARSE_TABLE_MERGE_CELL | Merge per original layout | Financial report tables often have merged headers and category columns. Preserving the merged structure prevents field misalignment |
CHUNK_SIZE | 800–1200 characters | Financial report chunks must contain complete business sections or detailed entries to avoid information breaks from cross-section splitting |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Annual financial report PDFs have large file sizes. Allowing sufficient time for full document parsing prevents mid-process timeouts |
UPLOAD_FILE_MAX_SIZE | 200 MB | Most annual financial report PDFs disclosed by listed enterprises do not exceed this size, meeting conventional document upload requirements |
CHUNK_OVERLAP | 100–150 characters | Financial reports have frequent cross-page content. Overlapping segments ensure contextual coherence and improve subsequent retrieval accuracy |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by document 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 Mistakes
- Symptom: After uploading a livestock and poultry farming financial report PDF, some documents show empty content. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled. Complex nested tables in financial reports cannot be parsed correctly, resulting in content loss. - Symptom: Import a Java interface document after changing its file extension to txt, and no parsing results are returned. Cause: The core fields of livestock and poultry farming financial reports do not match the structure of code-related documents at all. Changing the file extension cannot change the native structure of the document, so the parsing engine cannot recognize valid content.
- Symptom: After using the
chunkmode to call thepushdataAPI for upload, the index status is displayed for a long time. Cause: A reasonable value forPARSE_FILE_TIMEOUT_SECONDSis not set. Long document parsing times out and no retry is triggered, causing the indexing process to get stuck.
How to Confirm Proper Configuration
- Upload a typical quarterly financial report PDF for livestock and poultry farming, and check if the parsed text contains complete inventory volume and slaughter volume table content.
- Check the chunking results to confirm that business sections or detailed entries in each chunk are not split across chunks, and that the overlapping parts meet expectations.
- Call the parsing interface and check if the returned
parse_statusfield issuccess, with no timeout or parsing failure error codes. - Compare the original document with the parsed fields to confirm that the association between units and fields has not been misaligned.
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.