What thermal coal financial report data looks like
Data sources for thermal coal financial reports include monthly supply and demand reports from coal industry associations, quarterly annual reports of listed coal enterprises, port delivery data, and futures exchange announcements. Update frequencies fall into three categories: monthly, quarterly, and annual. Monthly data is released in the middle and late days of the following month. Quarterly data is published within 15 working days after the end of the quarter. Annual financial reports must be disclosed by the end of April of the following year. Document structures include structured tables and unstructured analysis paragraphs. Fields cover thermal coal calorific value (unit: large calories per kilogram), flat delivery price (unit: yuan per ton), port inventory (unit: ten thousand tons), railway transportation volume, and more. Some documents also include industry policy interpretations and market forecast content.
What constraints do these characteristics impose on document parsing and chunking
The multi-source, mixed-format, and specific field characteristics of thermal coal financial reports impose multiple constraints on the document parsing and chunking process. First, differences in document formats across sources require the parsing process to support multiple file types including PDF, Word, Excel, and CSV. This avoids parsing failures caused by unsupported formats. Second, the high volume of frequently updated files requires the chunking workflow to support batch processing. It also requires controlling per-file parsing time to meet monthly batch upload requirements. Third, structured fields with specific units must retain their associated relationships. This prevents loss of data semantics after splitting. It is also necessary to distinguish chunking granularity between long analysis paragraphs and compact tables, balancing context integrity and subsequent retrieval efficiency.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Thermal coal financial reports contain a large number of structured tables for prices, inventory, and supply and demand. Retaining table structure prevents core data from being split |
Chunk Length | 800–1200 characters | Balances context integrity for long analysis text and chunking granularity for structured tables, adapting to the mixed content structure of thermal coal financial reports |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time for multi-page charts and tables in large quarterly financial report PDFs, avoiding mid-process interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets file size requirements for large annual financial reports and batch uploads, preventing upload interception |
UPLOAD_FILE_ALLOWED_EXTENSIONS | ["pdf", "docx", "xlsx", "csv"] | Covers common release formats of thermal coal financial reports, including listed company annual reports, industry association reports, and trading data files |
SIMILARITY_THRESHOLD | 0.75 | Distinguishes correlation between easily confused calorific value and price fields in thermal coal financial reports, preventing irrelevant content from being included during chunking |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three common misconfigurations
- Issue: After uploading a thermal coal financial report Excel file, the parsing node shows no activity, and the backend log returns a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration item was not adjusted. The default value is too small to accommodate large quarterly financial report files. - Issue: In the parsed chunked content, thermal coal flat delivery price data and the corresponding 5500 large calorie calorific value unit are split into different chunks. Cause: The chunk length is set too short, splitting complete fields with unit associations into two segments and destroying data semantic integrity.
- Issue: Only some port inventory data in the thermal coal financial report is captured, and remaining industry supply and demand fields are empty. Cause: The
PARSE_TABLE_ENABLEconfiguration was not enabled. Non-header row data in structured tables was not correctly identified, leading to loss of some fields.
How to verify correct configuration
- Upload a standard monthly thermal coal financial report Excel file, and check if the parsed data table fully retains associated relationships for calorific value, price, inventory, and other fields.
- Check the backend logs of the parsing task to confirm no timeout errors or format unsupported error prompts appear.
- Randomly select a chunked content segment, and verify that complete data blocks containing units are used as independent units with no splitting errors.
- Batch upload 3 or more thermal coal financial report files in different formats, including PDF annual reports, Word analysis reports, and CSV trading data, and confirm all files can complete the parsing and chunking process normally.
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.