What the data for this category looks like
Shipping port financial reports and production data originate from three main sources: public annual and semi-annual financial reports, port authority monthly production briefings, and official statistical documents for container and bulk cargo throughput. These serve as core data sources for shipping-related asset analysis in financial scenarios. Data updates follow two cadences: quarterly financial reports and monthly production briefings. Document structures typically include three core modules: business operations (container throughput, route schedules, berth utilization), financial revenue (revenue, costs, net profit), and special analysis (cross-border logistics data, port expansion plans). Fields use dedicated units including TEU, ten thousand tons, number of berths, and number of voyages. Some documents contain multi-page nested tables.
What constraints do these characteristics impose on document parsing and chunking?
Shipping port financial report data has unique features that create multiple constraints for the document parsing and chunking process. First, multi-page nested tables and business/financial data bound across chapters require parsing tools to preserve table structures and contextual links. This prevents splitting of key indicators and dedicated units. Second, the high-frequency update requirement of monthly briefings demands efficient batch parsing. Single-file parsing timeouts must be avoided to maintain analysis efficiency. Third, dedicated units such as TEU and ten thousand tons are tightly linked to business data. Chunking must retain overlapping content between adjacent blocks to avoid data logic breaks that reduce analysis accuracy. Fourth, some public financial reports are in scanned document format. OCR recognition support is required to fully extract text content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Shipping port annual financial reports often include high-definition charts and batch business data, so single-file sizes are generally large |
PARSE_TIMEOUT | 120 seconds | Large financial reports require loading multi-page tables and text blocks. Timeouts will cause parsing tasks to fail |
CHUNK_SIZE | 800–1200 characters | Financial report chapters contain bound business and financial data. Excessively long segments lose contextual associations, while excessively short segments disrupt data logic |
CHUNK_OVERLAP | 150–200 characters | Retain unit and data associations across segments, avoiding splitting of key indicators such as TEU and ten thousand tons |
PARSE_TABLE_STRUCTURE | Enabled | Shipping port financial reports contain nested multi-page tables. Preserving structure prevents data disorder |
RECALL_CHUNK_COUNT | Top 6–8 entries | Financial report analysis requires associating multi-dimensional business and financial data. Too few recalled chunks will miss key indicators |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test against your own samples before finalizing settings.
Three common errors
- Phenomenon: Only cover text is extracted after parsing some port financial report PDFs, and main body table content is lost. Cause: The
PARSE_TABLE_STRUCTUREconfiguration is not enabled, and the default parsing mode ignores nested table structures. - Phenomenon: Calling the document parsing tool after enabling workflow file upload returns a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEparameter is not adjusted, and the default limit is smaller than the uploaded file size. - Phenomenon: After configuring the
CUSTOM_READ_FILE_URLenvironment variable, the locally deployed knowledge base cannot read uploaded files. Cause: The custom address does not point to the FastGPT local storage directory, or corresponding access permissions are not enabled in the deployment configuration.
How to confirm configurations are properly set
- Upload a single port annual financial report with a volume exceeding 500 MB, confirm that upload proceeds without blocking and parsing tasks start normally.
- Import a financial report segment containing bound container throughput and revenue data, check that chunking results retain data associations without splitting units and values.
- View parsing logs, confirm that no
PARSE_FAILEDerror codes appear, and all document blocks generate valid metadata. - Adjust the
CHUNK_SIZEparameter, check that chunking results cover complete business data chapters without splitting key indicators and causing logic breaks.
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.