What the data for this category looks like
The data for automated equipment financial reports comes primarily from public annual and quarterly reports of listed companies, industry reference documents, and equipment bidding and filing documents. The data update schedule aligns with financial report disclosure cycles: quarterly reports update every 3 months, and annual reports update once per year. Most documents use PDF format, containing structured parameter tables, technical description paragraphs, and revenue breakdowns. Fields include equipment rated load, operating speed, order amount, and more, with units such as kN, m/min, ten thousand yuan, and others. Some documents for specific sub-categories include Excel-format parts procurement lists and CSV-format order statistics data.
What constraints do these characteristics impose on the document parsing and chunking link?
Mixed-format data sources require the parsing module to support PDF text extraction, Excel cell structured reading, and CSV field mapping simultaneously. Otherwise, structured data will be lost. Structured tables make up a large share of these documents. Splitting using standard paragraph breaks will break the parameter connections inside tables, so tables must be kept as independent chunk units. Field units vary and are tightly linked to their parameters. Chunking must preserve the contextual link between fields and their units to avoid separating parameters from their units. Financial report documents range widely in length, from small manufacturer reports to large group annual reports. Chunking strategies must adapt to different document lengths to avoid losing logical coherence after splitting large text blocks.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Automated equipment financial reports contain a large number of technical parameters and description paragraphs. This range can retain the association between parameters and their context, avoiding splitting technical logic |
table_parse_mode | structured_only | Parameter tables and revenue detail tables account for a large proportion in automated equipment financial reports. Structured parsing can fully retain table fields and data associations |
chunk_overlap | 150–200 characters | Technical parameter descriptions have supplementary content that spans chunks. The overlapping interval can retain contextual coherence |
pdf_parser_version | v2.1.0 | This version optimizes the parsing of complex nested tables in industrial equipment documents and fixes the issue of mis-split parameter fields |
csv_field_mapping | Map original column names to standardized fields | Column names in CSV procurement lists for automated equipment financial reports are inconsistent. Mapping can avoid field confusion during retrieval |
max_parse_timeout | 300 seconds | Large group annual reports contain a large number of high-definition charts and parameter tables. A longer timeout can ensure complete parsing |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing the configuration.
Three common mistakes
- Issue: Only partial entries are returned after parsing a CSV-format procurement list, and all entries cannot be matched during retrieval. Cause:
csv_field_mappingis not configured, causing fields with inconsistent column names to be merged or omitted. - Issue: Calling the
/v2/parse/fileinterface returns a500 Internal Server Error, and logs show the parsing module failed to load. Cause: After upgradingpdf-markerto an unopen-source version, core dependency files are missing, so the interface cannot start normally. - Issue: After uploading multiple files, only the first uploaded document is parsed, and subsequent documents do not generate chunks. Cause: The message format for multi-file upload parameters is not configured correctly, so the interface only reads the content of the first appearing
contentfield.
How to confirm the configuration is correct
- Upload a CSV procurement list from an automated equipment financial report, verify that the parsed field list matches the original file's column names, and confirm the field mapping configuration is active.
- Upload a PDF document with nested parameter tables, check that the chunking results fully retain the table's row and column structure, and confirm the table parsing mode configuration is correct.
- Call the parsing interface, check that the parsing logs include a record where
pdf_parser_versionisv2.1.0, and confirm the parsing version configuration is correct. - Upload a document with a long technical description paragraph, check that the chunked text retains the contextual link between parameters and their corresponding units, and confirm the chunk length configuration fits the document's characteristics.
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.