What the data for this category looks like
Small home appliances financial report data mainly comes from listed companies' annual/quarterly reports, dealer monthly operation ledgers, and supply chain procurement detail documents. The update rhythm follows the report cycle: annual reports are updated once a year, quarterly reports are updated each quarter, and dealer ledgers are mostly updated monthly. Most document structures include multi-level nested SKU detail tables, covering fields such as SKU code, shipment volume, unit selling price, and raw material cost. Units are mostly units, CNY, kilograms, etc. Some export-related documents include USD-denominated fields, and often embed image data such as product test reports and energy efficiency labels.
What constraints do these characteristics impose on the document parsing and chunking link
Multi-level nested SKU tables in small home appliances financial reports will cause ordinary linear chunking to split the associated data of the same SKU, failing to fully retain the corresponding relationship between channels and costs. Format differences across multiple source documents, such as mixed uploads of PDF embedded tables and Feishu documents with multi-level directories, increase the difficulty of format adaptation for the parsing module. A large number of embedded product test images require additional image text extraction capabilities, otherwise key data such as energy efficiency and compliance test results will be lost. The content volume of a single document is large, and there are a large number of repeated field structures. Chunking needs to balance length and context integrity, avoiding excessive splitting or merging redundant content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parse_image_content | Enabled | Small home appliances financial reports often contain embedded images such as product test reports and energy efficiency labels. Text within images must be extracted to fully cover all data |
chunk_max_length | 800-1200 characters | Each chunk for small home appliances financial reports needs to contain complete SKU table rows or channel data segments, to avoid splitting key associated information |
chunk_overlap | 100-150 characters | Associated data across SKUs needs to retain context continuity, to avoid losing cross-category cost comparison information after chunking |
parse_file_timeout_seconds | 600 seconds | Large financial report documents with multiple SKU details take longer to parse, to avoid premature termination of the parsing process |
enable_multi_level_parse | Enabled | Small home appliances financial reports have multi-level directories and nested SKU tables. Hierarchical structure must be retained to match the original document logic |
max_upload_file_size | 2000 MB | Bulk uploaded combined dealer monthly report files have large volume, so the upload limit must be relaxed to support complete data import |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading a Feishu-format small home appliances financial report, only the highest-level directory content is parsed, and sub-SKU table data is missing. Cause: The
enable_multi_level_parseconfiguration is not enabled, and the multi-level directory parsing logic is not activated. - Phenomenon: The document parsing API call returns a 200 success status code, but there are no text fields for small home appliances financial reports in the returned results. Cause: The
parse_image_contentparameter is not included in the API request, or the parameter value is incorrect, resulting in unextracted image-based test report data. - Phenomenon: In the v4.9.0 docker deployment, split-related error logs appear when parsing small home appliances financial report PDFs. Cause: Too many nested SKU table rows on a single PDF page exceed the default chunk splitting threshold, causing splitting failure.
How to confirm the configuration is correct
- Upload a small home appliances financial report test document that contains multi-level SKU tables and embedded images, check whether the parsed results include all table content from subdirectories.
- Call the document parsing API, check whether the returned results include image text extraction fields, and verify that they match the test report values in the original document.
- Check the running logs of the parsing module, confirm that there are no split-related errors, and that the parsing time does not exceed the preset threshold.
- Adjust the
chunk_max_lengthparameter, re-upload the long document, and verify that the chunking results do not split complete SKU data rows.
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.