What data in this category looks like
Data for this category comes primarily from daily expressway operation business documents, including toll ledgers, ETC service application forms, overload detection reports, station operation and maintenance records, and industry policy notices. Data updates use two methods: real-time work order submissions and daily batch synchronization. Document structures include structured fields such as station ID, passage duration, and toll amount, plus unstructured main text. Some long documents contain multi-level section headings and embedded table attachments.
Constraints on document parsing and chunking
The mixed structure and wide length variance of data in this category create multiple constraints for document parsing and chunking. Documents with mixed structured fields and unstructured main text require preserving the binding relationship between section headings and their corresponding main text during parsing, to avoid losing contextual association after chunking. For document length variance: short work orders need to avoid over-chunking that causes semantic breaks, while long annual operation reports need reasonable chunking thresholds to prevent overloading individual chunks. Mixed uploads of real-time work orders and batch-synced documents require parsing components to adapt to different file sizes and timeout requirements, while also supporting structured extraction and chunk binding for embedded tables.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Ensures semantic integrity for mixed documents in this category, avoids over-splitting short work orders and overloading long reports |
chunkSplitter | Split by section and paragraph | Preserves binding between section headings and main text, matches the multi-level structural features of documents in this category |
customPdfParse | Enable structured extraction mode | Adapts to structured content extraction needs for common toll tables and work order forms in this category's documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Covers upload requirements for large documents such as annual operation reports |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time for large batch documents, prevents task interruption due to timeout |
chunkSettingMode | Manual configuration | Supports adjusting chunking parameters for different document types, adapts to the wide length variance of documents in this category |
Three Common Misconfigurations
- Phenomenon: Document parsing returns a 404 error, and file content cannot be read. Cause: Server-side file path configuration does not match the front-end upload path, and static file access permissions are not enabled.
- Phenomenon: Chunked results after parsing lose section heading associations, only returning plain main text. Cause: The section binding mode of
chunkSplitteris not enabled, and the chunking logic only splits by fixed characters without retaining document structure information. - Phenomenon: Parsing timeout causes task failure, and chunking processing is not completed. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted for large documents, and the default timeout duration is insufficient to cover batch parsing time.
How to Verify Configurations
- Upload a typical ETC service application form document, check if the parsing result retains the section heading association between application reasons and processing procedures.
- Upload an annual operation report document, verify that the length of chunked results falls within the preset
chunkSizerange, with no over-splitting or single-chunk overloading. - Upload a large-volume toll ledger PDF, confirm that the parsing task does not have timeout errors, and the
UPLOAD_FILE_MAX_SIZEparameter does not restrict file uploads. - View parsing logs, confirm that the structured extraction mode of
customPdfParseis enabled, and table content is correctly identified and bound to corresponding chunks.
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.