What this category of data looks like
Railway operations declaration materials and file review data mainly comes from business systems including passenger ticket sales declarations, freight acceptance files, and line maintenance work orders. Data is updated in real time or submitted in shifts during daily operations. Supported document formats include Excel declaration lists, official PDF files, and Word approval forms. Documents include fixed fields such as train number, work order number, work duration, and safety verification level. Units use industry-specific measurement standards such as kilometers, hours, and passenger trips.
Constraints on document parsing and chunking
Railway operation declaration materials are mostly structured tables and long text files. Tables have a large number of rows with closely linked fields. Chunking must avoid splitting cells or truncating across fields. Some files are scanned copies, which require OCR recognition. This creates clear adjustment requirements for parsing timeout settings. Exclusive measurement fields in documents must retain their original unit identifiers after parsing to avoid confusion. Business submission frequency is high, and the number of files uploaded in a single batch is large. Resource allocation rules for batch parsing must be adapted to these conditions.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the single-paragraph text length of railway files, avoiding splitting complete work process logic |
chunkSplitter | Split by paragraph and table boundaries | Matches the structured characteristics of railway documents, preserving contextual connections between tables and text |
customPdfParse | Enable OCR mode | Adapts to the recognition needs of some scanned files, restoring original document content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of long files, preventing parsing failures due to timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports large-scale batch uploads of freight or maintenance files, meeting business submission requirements |
chunkSettingMode | Manual configuration | Customizes chunking rules for railway-specific fields and units to ensure information completeness |
Three common configuration errors
- Fields appear empty or data is truncated after uploading an Excel declaration list. This occurs when the chunking rule for splitting by table boundaries is not configured. Direct character-based splitting damages the table structure.
- Request failure with status code 504 occurs when parsing scanned railway files. This happens because the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient to complete the OCR recognition process. - Training data is incomplete after uploading multiple files in a batch. This is caused by not setting a reasonable
UPLOAD_FILE_MAX_SIZEvalue. Oversized files are automatically skipped during upload, leading to some data not being included.
How to confirm configurations are properly set
- Upload a typical railway Excel declaration list. Check if the parsed text retains complete table rows and field values, and confirm that no cells are split during chunking.
- Upload a scanned railway file. Check if the parsing duration meets expectations, and verify that the
PARSE_FILE_TIMEOUT_SECONDSsetting matches the actual parsing duration. - Upload multiple railway documents of different formats in a batch. Confirm that all files are successfully parsed and no automatic skips occur.
- Adjust the
chunkSizeparameter, then re-parse the long text file. Check if the chunked paragraphs cover complete work logic units.
The values provided are common starting points and should be evaluated against applicable sample datasets.
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.