What data for this category looks like
Data for this category comes from three main sources: periodic reports of publicly traded automotive parts enterprises at home and abroad, supply chain data released by industry associations, and supplier disclosure documents from supporting automakers. Updates follow quarterly and annual cycles. Temporary announcements are released alongside major operational changes. Most documents are in PDF format. Their structures include consolidated financial statements, product-specific revenue breakdowns, raw material cost details, production capacity and delivery data, and other sections. Fields include revenue amounts, production capacity units, customer order amounts, and more. Common units are yuan, pieces, and capacity units.
What constraints do these characteristics impose on document parsing and chunking
The data characteristics of this category create multiple constraints for document parsing and chunking. Documents from different sources have large format differences. Parsing workflows must support standardized annual reports, flexible industry reports, and non-uniform supplier documents. This avoids parsing omissions or formatting errors. The high-frequency quarterly update requirement means parsing workflows need batch scheduling support. This reduces per-document processing time. Documents contain large numbers of detailed tables, such as product revenue and capacity data. Parsing must retain full table structures. It must avoid splitting content from tables that span pages or chapters. Some documents have repeated headers and footers. Automated identification and removal of redundant information is required. This ensures chunked content focuses on core business data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Annual reports from publicly traded enterprises are often multi-page PDFs. Sufficient time must be reserved for parsing and rendering |
maxChunkSize | 800–1200 characters | Matches the length of detailed embedded tables in documents. This avoids splitting complete business units |
UPLOAD_FILE_MAX_SIZE | 500 MB | Covers the file size limits of most publicly traded enterprise annual reports and industry reports |
chunkOverlap | 10–15 % | Preserves contextual connections across chunks. This avoids breaking tables or continuous business descriptions |
enable_table_parse | Enabled | Documents in this category contain large numbers of detailed revenue and capacity tables. Full table structure retention is required |
PARSE_BATCH_MAX_COUNT | 20 documents/batch | Balances server load and batch processing efficiency. This supports concentrated quarterly financial report parsing needs |
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 mistakes
- Symptom: marker-pdf returns a connection failure error when parsing PDFs. Docker deployments show a prompt that a local service connection cannot be established. Cause: Container port mapping is not configured correctly, or the marker-pdf parsing service container is not started. This breaks the parsing link.
- Symptom: After uploading an automotive parts financial report PDF, the parsing result fails to identify detailed tables, or core business data is missing from chunked content. Cause: The
enable_table_parseconfiguration is not enabled, ormaxChunkSizeis set too small. This leads to forced splitting of table content. - Symptom: Parsed chunked content has cross-chapter splicing. The same business unit is split across multiple chunks. Cause:
chunkOverlapis set incorrectly, or chunking rules are not adjusted for the fixed chapter structure of financial reports.
How to confirm configurations are correct
- Upload a single standard publicly traded enterprise annual report PDF. Check the file processing duration in the parsing log, and confirm no timeout errors are triggered.
- Review table content in the parsing result. Confirm all embedded revenue and capacity detail tables are fully retained, with no splitting or loss.
- Check the content structure of the chunk list. Confirm content from the same business chapter is not split across chunks, and adjacent chunks have reasonable contextual connections.
- Upload multiple financial report documents in batch. Confirm batch parsing tasks do not show over-limit prompts, and comply with the configured batch processing rules.
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.