What Data for This Category Looks Like
Data sources include publicly available industry reports, regular periodic announcements of listed basic chemical enterprises, and third-party special research documents. Update frequency varies by report type: monthly spot price monitoring weekly reports and quarterly capacity supply and demand analysis reports are both common. Most documents contain nested structured tables, long technical parameter descriptions, and cross-page comparison data. Fields covered include raw material grades, purity, spot transaction prices, and capacity utilization rates. Common units are tons, yuan/kilogram, ten thousand tons/year, and others. Some documents also include process flow diagrams and policy interpretation paragraphs.
Constraints on Document Parsing and Chunking
Chemical raw materials research reports have a high proportion of structured tables. The parsing process must retain the correspondence between cells and fields to avoid losing data associations after splitting. Cross-page tables and long technical paragraphs coexist, so cross-page boundaries must be identified and content merged to prevent data breaks. Fields with mixed multiple units require binding fields to their corresponding units during chunking to avoid unit confusion during retrieval. Documents with different update frequencies must be handled with adapted chunking logic for both short weekly reports and long reports, to ensure consistent parsing across all document types.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Chemical raw materials research reports mostly contain long technical paragraphs and structured tables. This range preserves the integrity of individual supply and demand data or technical descriptions |
chunk_overlap | 100–150 characters | Prevents cross-chunk technical parameters or supply and demand data from being split, ensuring complete context can be associated during retrieval |
parse_table_mode | Retain full structure | Structured tables in chemical raw materials research reports contain core supply and demand and price fields. Full retention avoids loss of field associations |
pdf_parse_engine | pdf-marker v2.0 | This version accurately identifies cross-page and nested tables, adapting to the complex typesetting of chemical raw materials research reports |
max_paragraph_depth | 3 | The hierarchical structure of chemical raw materials research reports is mostly chapter - subsection - paragraph. This depth accurately divides logical chunks |
api_fetch_batch_size | 20 documents per batch | Balances API pulling efficiency and data loading pressure, adapting to the needs of batch importing chemical raw materials research reports |
The parameter values provided on this page are common starting points for configuration setup. 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 Errors
- Issue: The
/v2/parse/fileAPI returns a 404 status code, or no table content is returned after parsing. Cause: The pdf-marker v2 parsing engine was not deployed correctly, or the engine version was not specified in the platform configuration. - Issue: Raw material grades and price fields are empty in Feishu multi-dimensional table documents pulled via API. Cause: Target field mapping was not specified in the API pull configuration, resulting in failure to extract structured fields unique to chemical raw materials.
- Issue: Individual supply and demand data entries are split across two adjacent chunks in the chunking result. Cause: The chunk size was set too small, failing to cover the full character length of a single supply and demand record, leading to broken logical associations.
How to Verify Correct Configuration
- Upload a local chemical raw materials research report PDF, check that parsed tables retain complete cell structures, and confirm cross-page tables have been merged.
- Initiate an API pull test, call the specified interface to retrieve Feishu multi-dimensional table documents, and verify that core fields are fully extracted and bound to their corresponding units.
- Generate a chunk preview, randomly select chunk content, and confirm that individual technical parameters or supply and demand data are not split across multiple chunks.
- View parsing logs to confirm that the
pdf-marker v2.0engine was called correctly, with no parsing timeout errors.
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.