Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data for this category comes from budget management integrated systems, centralized treasury payment systems, accounting systems, and asset management systems. The update frequency is annual. Commonly processed documents include department final account statements, balance sheets, income and expenditure final account statements, final account explanations, and government financial reports. Most documents combine structured tables and explanatory text. They include fields such as unit code, revenue and expenditure subjects, and asset and liability items. Units use standard financial units such as ten thousand yuan or yuan. The data structure is fixed and must strictly match fiscal standards.
What constraints do these characteristics impose on the "document parsing and chunking" stage
The annual update frequency means parsing tasks do not need to run frequently. However, each single document covers full-year financial data, and contains large numbers of structured tables and explanatory text. Fixed fields in structured reports and specialized fiscal subjects require precise identification of headers and corresponding data rows during parsing. This avoids splitting content linked across multiple subjects. Explanatory text must be bound to its corresponding table. Otherwise, subsequent processes cannot match revenue and expenditure difference explanations with report data. Document format differences across multiple source systems require the parsing module to support format compatibility. Without this, field misalignment or missing data may occur.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the mixed length of table paragraphs and explanatory text in final account documents, avoids splitting single tables or complete subject explanations |
chunkSplitter | Split by title and table boundaries | Matches the structure of final account documents divided by subject and report module, preserves business relevance of content |
customPdfParse | Enable structured table parsing mode | Accurately extract fields and values in reports, avoids table data misalignment caused by plain text parsing |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single annual final account document has large data volume, reserves sufficient time for full parsing and chunking |
chunkSettingMode | Manual configuration | Customize chunking rules to match business scenarios for the fixed structure of fiscal reports |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the total size of annual final account documents, prevents large documents from being blocked during upload |
Three common errors
- Parsed document content is empty, or only extracts a small amount of scattered text. The cause is failure to enable the structured table parsing mode of
customPdfParse. Using only default plain text parsing cannot recognize the table structure of final account reports. - Parsing tasks time out and fail, with timeout prompts in logs. The cause is failure to adjust
PARSE_FILE_TIMEOUT_SECONDSto a reasonable duration. The data volume of a single annual final account document exceeds the default timeout limit. - Chunks contain content split across multiple subjects. The cause is configuring
chunkSplitterto split by fixed characters, without binding to title and table boundaries. This leads to splitting that breaks business relevance.
How to verify the configuration is correct
- Upload a single typical final account report document, and check the parsed text preview to confirm that table fields and values are fully extracted.
- Check the running logs of the parsing task to confirm that no timeout error corresponding to
PARSE_FILE_TIMEOUT_SECONDSis triggered. - Randomly select a chunk of content, and check that it retains the complete business relevance of the corresponding table or explanatory text, with no cross-subject splitting.
- Upload a single large document that meets the
UPLOAD_FILE_MAX_SIZElimit, and confirm that the upload and parsing processes complete normally.
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.