What the data for this category looks like
Footwear enterprise financial report data comes from annual reports, quarterly reports, and temporary announcements disclosed by public exchanges. Update frequency is one time annually, four times quarterly, with temporary announcements released as needed. Most documents use PDF format, and contain nested business tables. Fields include footwear segment revenue split by product category, single SKU sales, direct-operated store sales per square meter, and more. Units include pairs, ten thousand yuan, square meters, and others. Some documents include segmented data such as footwear sales share from online e-commerce channels, inventory turnover days, and other detailed metrics. The correlation between paragraphs and tables is high.
Constraints on document parsing and chunking
The multi-format, high update frequency, and segmented field characteristics of footwear financial reports create multiple constraints for the parsing and chunking workflow. First, nested tables and paragraphs in PDF documents have a strong correlation. Parsing must retain complete table structures and context to avoid losing correspondence between fields and units after chunking. Second, high-volume batch document processing requires parsing services to support batch upload and asynchronous processing. This prevents single-document parsing timeouts. Third, segmented fields such as SKU sales and in-store sales efficiency have narrow semantic ranges. Chunk length must fit business module integrity. Chunks that are too large mix multiple business data types. Chunks that are too small break semantic coherence.
Configuration settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
max_chunk_size | 800–1200 characters | Footwear financial reports contain numerous segmented business fields. This length balances semantic integrity and chunk density, preventing multiple business data types from mixing in a single chunk. |
chunk_overlap | 150–200 characters | Business data in footwear financial reports often spans multiple paragraphs. For example, sales and inventory data for a single shoe style may appear in different paragraphs. Overlap preserves contextual connections. |
max_paragraph_depth | 3 | Adapts to business tables nested up to three layers in footwear financial reports, such as product category and regional split data under segment reports. This fully extracts hierarchical structures. |
parse_table_mode | full_structure | Tables in footwear financial reports contain multi-dimensional split data. Retaining full structure prevents loss of correspondence between fields and units. |
api_upload_timeout | 120 seconds | Parsing a footwear financial report PDF with 50 or more pages takes a long time. This duration prevents parsing interruptions due to timeout. |
enable_model_segment | Enabled | Footwear financial reports have diverse paragraph formats. Model-based recognition more accurately divides business modules, reducing errors from manual chunking. |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Test with your own samples before finalizing settings.
Three common mistakes
- Issue: Calling the
/v2/parse/fileAPI returns 404 Not Found. Cause: This interface is not included in public open-source code. Use officially encapsulated parsing interfaces instead. - Issue: Batch uploading multiple footwear financial reports results in some documents failing parsing with parameter validation errors. Cause: Multiple file content objects were not passed correctly in array format.
- Issue: Parsed chunks separate footwear business fields and their corresponding units, such as "single shoe style sales" followed by "ten thousand yuan". Cause:
parse_table_modewas not set tofull_structure, causing table structures to be flattened during splitting.
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.