What this category of data looks like
Data sources for bulk commodity trade include trade contracts, customs clearance documents, warehouse inventory ledgers, and settlement vouchers. Updates follow business nodes or scheduled inventory checks: corresponding ledgers are updated immediately after a single transaction completes, and summary reports are generated monthly or quarterly. Most documents take the form of structured tables, while some are PDFs assembled from multi-page scanned documents. Fields include commodity category, specification model, unit of measurement (tons, barrels, TEU, etc.), transaction quantity, unit price, delivery date, and payer and receiver information. A small amount of handwritten annotations or notes are mixed into the content.
What constraints these characteristics impose on document parsing and chunking
Structured tables require that chunking does not forcibly truncate tables by fixed character count. Forced truncation breaks the binding between fields and values. Multi-page scanned documents have layout offsets. Teams must adapt to non-standard page layouts to avoid content misalignment during cross-page recognition. Diverse units of measurement require chunking to retain the association between fields and units. This prevents separation of quantity and unit after splitting. Long documents for single-trade summaries can span dozens of pages. Chunking must support segmented recognition of long documents, and avoid incorrect merging of content across transaction nodes.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Bulk commodity trade ledgers are mostly structured tables. This range preserves the integrity of single-page tables or consecutive transaction entries, and avoids truncating key fields |
chunkSplitter | Split by mixed table + paragraph | This setting adapts to document structures where structured tables and free-text notes mix in ledgers, and avoids splitting that breaks table field associations |
customPdfParse | Enable OCR mode | OCR mode accurately extracts tables and handwritten annotation content from large numbers of scanned clearance and warehouse documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | This setting meets upload requirements for multi-page long documents such as quarterly inventory summary ledgers, and prevents file interception due to oversized size |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long document parsing requires extended processing time. This duration covers the parsing process for most bulk commodity trade documents |
chunkSettingMode | Manual configuration | Manual parameter adjustment adapts to specific document structures for different trade document types, such as contract documents and ledger documents |
Three common configuration errors
- Symptom: Fields appear empty or recognition is chaotic when parsing scanned warehouse ledgers. Cause: The OCR mode of
customPdfParseis not enabled. Basic text parsing alone cannot extract structured content from scanned images. - Symptom: A
Cannot read properties of undefinederror occurs when calling the document parsing API. Cause:chunkSettingModeis not set to manual mode, orchunkSizefalls outside the system-compatible range. This leads to parameter parsing failure. - Symptom: Duplicate transaction entries appear after chunking. Cause:
chunkSplitteruses fixed-character splitting, and the table structure is not adapted. The same table row splits into different chunks, creating duplicates during subsequent merging.
How to confirm configurations work correctly
- Upload a typical scanned warehouse ledger. Check that parsed text includes all table fields and handwritten annotations, to confirm
customPdfParsetakes effect. - Upload a 10-page quarterly trade summary document. Wait for parsing to finish, then check the number of chunks. Confirm
chunkSizeandchunkSplittermatch the document structure. - Upload an annual inventory ledger larger than 500 MB. Confirm upload and parsing processes do not interrupt. Verify
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations are rational. - Manually adjust
chunkSizeto different ranges. Compare chunked content to confirm no table truncation or field splitting occurs.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.