What Data for This Category Looks Like
Coking coal-related data primarily comes from industry reports published by domestic coal industry associations, warehouse receipt data from futures exchanges, publicly available production and operation documents from mining enterprises, port clearance ledgers, and policy and regulatory documents.
Data update cycles cover daily (port inventory, spot prices), weekly (production output, transportation capacity data), monthly (supply and demand balance sheets), and annual (industrial planning).
Document formats include structured tables, long-text analysis reports, and policy documents. Core fields include total moisture content, ash content, sulfur content, caking index, and colloidal layer thickness. Corresponding units are mostly percentage, millimeter, gram per cubic centimeter.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
The multi-time granularity of coking coal data requires the parsing process to retain timestamp information attached to documents, to avoid mixing data blocks from different cycles.
Structured tables contain specialized industry fields. Parsing must accurately identify specific column names such as total moisture content and caking index, to prevent field misalignment caused by general parsing rules.
Documents with mixed long-text analysis and tables require chunking to retain the association between tables and their context, to avoid losing business logic after splitting.
Hierarchical structures in policy documents must be divided by chapter titles to set chunk boundaries, ensuring content of the same theme is aggregated into independent chunks.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_STRICT_MODE | Enabled | Coking coal document tables contain specialized industry fields. Strict mode can accurately identify column names, preventing field misalignment caused by general parsing rules |
CHUNK_MAX_SIZE | 800–1200 characters | Adapts to the length of single-paragraph analysis and table-associated content in coking coal research reports, avoiding loss of business context after splitting |
CHUNK_OVERLAP_RATE | 10–15% | Retains contextual association between chunks, ensuring complete business logic can be retrieved across chunks |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports upload requirements for large industry research reports and historical data collections |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time for large documents, avoiding interruption of the parsing process due to timeout |
ENABLE_TABLE_AS_SINGLE_CHUNK | Enabled | Ensures structured tables in coking coal documents are treated as independent chunks, avoiding damage to the integrity of core business data when split from preceding or following text |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: No log output appears on the parsing node after uploading a local file, and the task remains in a pending state for a long time. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not configured to a value adapted to large coking coal documents, or insufficient deployment environment resources cause parsing process blocking. For Docker deployment of version 4.8.21, confirm that MongoDB connection parameters are not set too short. - Phenomenon: Only partial column data is captured after uploading a table file containing coking coal-specific fields. Cause:
PARSE_TABLE_STRICT_MODEis not enabled. General parsing rules cannot recognize specialized fields such as caking index and colloidal layer thickness, resulting in partial columns being filtered out. - Phenomenon: Retrieved Markdown-formatted coking coal supply and demand tables are truncated, displaying
...[hide X char]. Cause:CHUNK_MAX_SIZEis set too small, causing table content to be split and truncated, or theENABLE_TABLE_AS_SINGLE_CHUNKconfiguration is not enabled.
How to Confirm Proper Configuration
- Upload a structured table file containing coking coal-specific industry fields, verify that all column names and corresponding content are fully retained in the parsed data blocks.
- Upload a coking coal research report document with mixed long-text analysis and tables, verify that tables exist as independent units in the chunking results, and are not split from preceding or following text.
- Check deployment logs, confirm that no timeout or slow operation related errors appear in the parsing process, and tasks can complete normally.
- Test the retrieval function, confirm that coking coal-specific fields can be accurately matched and relevant chunk content can be recalled.
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.