What the data for this category looks like
Data sources for white goods industry research reports include monthly monitoring reports released by domestic home appliance industry associations, regular research reports from leading research teams, public quarterly financial report summaries from brands, and sampled survey data from offline retail terminals. Updates follow a quarterly and annual scheduled release cadence, with supplementary temporary documents issued during sudden market changes. Typical document structures include overall industry scale analysis, sales and average price changes for segmented product categories, market share of leading brands, channel sales proportions, and policy impact interpretations. Some documents include original survey tables and data source annotations. Fields include sales volume, revenue, and terminal selling price, with corresponding units of ten thousand units, 100 million yuan, and yuan respectively. Market share is marked as a relative proportion.
What constraints do these characteristics impose on document parsing and chunking?
Diverse document formats require the parsing module to support multiple file types including PDF, Word, and Excel. This is especially true for structured table data in Excel, which must avoid broken splits after parsing. Temporary documents have inconsistent formats, and some lack standard headers and footers. This easily introduces non-content text, increasing the difficulty of filtering invalid data. Segmented category research reports often include cross-chapter associated analysis. Chunking must retain contextual coherence to avoid disrupting complete data analysis logic. The large number of structured tables present requires the parsing process to prioritize preserving complete table structures while maintaining coherence of text chunks.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parse_table_enable | Enabled | White goods industry research reports contain a large number of structured tables for sales volume and average price. Enabling this option preserves the complete table structure and avoids broken data splits |
chunk_size | 800–1200 characters | The content length of a single chapter of a research report is usually around 1000 characters. This range ensures that a single chunk contains a complete data analysis logic |
chunk_overlap | 100–150 characters | Covers cross-chapter analytical connections and avoids loss of contextual association between adjacent chunks |
parse_ignore_header_footer | Enabled | Most research reports have institutional identifiers in uniform headers and footers. Enabling this option filters non-content text |
max_file_parse_size | Set based on actual testing | The scale of individual research report documents varies. This configuration adapts to file size limits for different upload scenarios |
parse_timeout | 120 seconds | Large research reports contain multiple tables to parse. This duration ensures the complete parsing process is completed |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test against your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After uploading some white goods industry research report PDFs, the parsing result shows empty content, while some similar documents can be recognized normally. Cause: Some PDFs use encrypted fonts or embedded non-standard fonts, causing the basic parsing module to fail to extract text content.
- Phenomenon: After modifying a Java interface document for the white goods industry to use a TXT suffix and importing it, the parsing result has no valid data. Cause: The interface document contains a large number of code syntax symbols and structured comments. The default TXT parsing rules cannot filter invalid code blocks, resulting in valid text being mixed or discarded.
- Phenomenon: After using chunk mode to call the pushdata API to upload research report data, the interface continuously displays the indexing status. Cause: Chunk parameters are set beyond the queue processing limit, causing the indexing queue to backlog and fail to complete processing.
How to Verify Proper Configuration
- Upload a white goods industry research report document that contains structured tables, and check if the parsed chunked content retains the complete table structure without broken data splits.
- Review the parsed chunked text to confirm there is no redundant non-content text such as headers, footers, or page numbers.
- Call the parsing interface and verify that the length of the returned chunked data falls within the preset
chunk_sizeconfiguration range. - Upload a research report of the conventional document size for this category, and confirm that the upload and parsing process does not trigger timeout or size limit error messages.
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.