What this type of data looks like
Financial reports and business documents for steel trade originate primarily from internal enterprise inventory and sales ledgers, monthly settlement statements, quarterly and annual official financial report PDFs, and exchange spot price quotation reports. Update cycles fall into three categories: monthly (for inventory, sales, and settlement statements), quarterly (for interim financial reports), and annual (for full financial reports). Most documents take the form of structured tables, containing fields such as trader name, steel product category (e.g., rebar, wire rod), purchase unit price, sales unit price, inventory quantity, settlement amount, tax items, contract number, and others. Units include RMB yuan, ton, and others. Some older documents are scanned copies, with a risk of misaligned table cells.
Constraints for Document Parsing and Chunking
Steel trade financial reports and business documents center on structured tables with closely linked fields. Chunking must avoid splitting a complete business unit, such as all details of a single contract. Splitting such units breaks field linkages during subsequent analysis. Some older documents are scanned copies, with a risk of misaligned table cells. Table parsing logic must be optimized to preserve field correspondence. Monthly inventory, sales, and settlement statement documents are produced in large volumes. The number of chunks per single document may exceed the default threshold, requiring adjustment of the maximum chunk count parameter. Additionally, documents contain boolean-type fields such as "whether settled". The original type must be preserved during parsing to avoid accidental conversion to text, which disrupts subsequent conditional judgment logic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size | 800–1200 characters | Individual business records, such as single contract details, in steel trade financial reports typically fall within this length, avoiding splitting complete business units |
Chunk Overlap Rate | 15%–20% | Structured fields are linked, and overlap preserves cross-chunk context to prevent field linkage breaks |
Enable Table Structured Parsing | Enabled | Steel trade documents contain large numbers of inventory and sales tables and settlement lists. Structured parsing preserves field correspondence and avoids table chaos after OCR recognition |
MAX_SEGMENT_COUNT_PER_FILE | 3000–5000 | A single steel trade financial report document may include multiple months of inventory and sales data. This range balances indexing efficiency and content completeness |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Large financial report PDF or Excel documents contain large amounts of table data, with long parsing times. This duration prevents timeout interruptions |
OCR_DPI | 300–400 | Table fonts in steel trade documents are typically small. This DPI range ensures field recognition accuracy |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by document format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Parsed boolean-type fields appear empty in conditional judgment components. Cause: Structured field type recognition is not enabled, causing parsed boolean values to be treated as plain text. Conditional judgment components cannot recognize the type, leading to matching failures.
- Symptom: The
Cannot redefine property: toStringerror is thrown in the production environment. Cause: The toString method is redefined in a custom parsing script, or a field name that conflicts with the built-in object prototype is referenced, resulting in a runtime property redefinition error. - Symptom: Indexing stalls or throws errors after a single document is chunked beyond 3000. Cause: The
MAX_SEGMENT_COUNT_PER_FILEparameter is not adjusted. The system default limit does not adapt to the chunk scale of steel trade documents, leading to indexing resource exhaustion.
How to Verify Correct Configuration
- Upload a typical steel trade financial report document, check the parsed structured field list, and confirm that core fields such as steel product category, purchase price, and inventory quantity are correctly identified and categorized.
- View the chunk preview interface, confirm that each chunk contains complete business units, and that no single contract information is split across two chunks.
- Simulate a conditional judgment logic, pass the parsed boolean-type field, and verify that the judgment logic can normally trigger the corresponding branch without empty fields.
- Upload a large document with more than 3000 chunks, confirm that the system automatically adapts to the chunk scale, and that no timeout or error prompts appear.
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.