What the data for this category looks like
Metallurgical coal-related financial report data primarily comes from periodic reports publicly disclosed by listed coal enterprises, supply and demand briefings released by industry associations, and warehouse receipt data from futures exchanges. Update schedules follow fixed intervals: periodic reports are updated quarterly and annually, industry briefings are updated monthly, and spot-related data is updated per trading day. Most documents are in mixed PDF or Excel formats, containing body analysis paragraphs and multi-page nested tables. Tables include fields such as metallurgical coal production capacity, output, inventory, cost, and selling price. Common field units are ten thousand tons, yuan per ton, and hundred million yuan RMB.
What constraints these characteristics impose on document parsing and chunking
The mixed document structure of metallurgical coal financial reports requires the parsing process to accurately identify boundaries between nested tables and body text. This avoids mixing production and sales data from tables with body paragraphs during chunking. The diversity of specialized fields and units requires preserving the association between fields and their corresponding units during chunking. This prevents loss of data semantics due to incorrect splitting. Frequently updated data sources require reasonable configuration of parsing timeouts and upload thresholds to adapt to documents of different sizes. The presence of multi-page nested tables requires chunking logic to avoid splitting complete table rows across pages. This ensures the integrity of metallurgical coal-related data.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Metallurgical coal financial report PDFs may contain multi-page nested tables. A timeout of 300 seconds or more covers the parsing needs of most large annual reports |
chunk_size | 800-1200 characters | The semantic units of table paragraphs in metallurgical coal financial reports mostly fall within the 800-1200 character range. This avoids splitting complete cost analysis or production and sales data blocks |
chunk_overlap | 100-150 characters | Preserves contextual association between adjacent chunks, preventing split of associated data for metallurgical coal production capacity and corresponding inventory |
TABLE_PARSE_MODE | structured_only | Most tables in metallurgical coal financial reports contain structured data. Only extracting structured tables avoids chunking confusion caused by mixed irrelevant body text and tables |
UPLOAD_FILE_MAX_SIZE | 500 MB | The file size of large metallurgical coal industry research reports or annual report PDFs typically does not exceed 500 MB. Files beyond this range may cause parsing failures |
MAX_RECURSIVE_PARSE_LEVEL | 3 levels | Nested tables in metallurgical coal financial reports mostly have 2-3 levels of nesting. A 3-level recursion can fully identify table data at all levels |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After uploading an Excel table for a metallurgical coal financial report, specialized fields such as metallurgical coal production capacity and sales volume are empty in the parsing results. Cause: The
TABLE_PARSE_STRICT_MODEparameter was not enabled, causing non-standard format metallurgical coal production and sales tables to be misclassified as unstructured data, and corresponding fields were not extracted. - Symptom: When parsing a large metallurgical coal annual report PDF, a
408 Request Timeouterror is displayed in the interface. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default timeout duration is insufficient to complete full parsing of multi-page nested tables. - Symptom: When retrieving metallurgical coal cost analysis data, unit information from adjacent chunks cannot be associated. Cause: The
chunk_overlapparameter value is too low, failing to preserve contextual association between adjacent chunks, leading to semantic breakage between metallurgical coal costs and their corresponding units.
How to confirm correct configuration
- Upload a standard metallurgical coal financial report PDF, check if the parsed structured tables have fully extracted specialized fields such as metallurgical coal production capacity and sales volume.
- Upload a metallurgical coal monthly briefing containing nested tables, verify that the parsed chunks do not split complete table rows.
- Upload a target document of the preset maximum size, confirm that no timeout error is triggered during the parsing process.
- Verify that in the chunked text, metallurgical coal-related fields and their corresponding units are retained within the same chunk or adjacent chunk range.
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.