What This Category of Data Looks Like
Data for this category comes from unified budget management systems, centralized treasury payment systems, accounting systems, and asset management systems, and is updated annually. Daily documents include department final account statements, balance sheets, income and expenditure final account statements, final account explanations, and government financial reports. These contain structured fields and monetary units such as income and expenditure details, asset and liability balances, and budget execution deviation explanations. Most are batch report files in PDF or Excel formats, with large variations in page count or row count per single file.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Link
Batch heterogeneous files updated annually require the parsing workflow to support batch processing of multiple files and timeout fault tolerance. Structured and unstructured data from multiple system sources requires adaptation to parsing rules for different formats. The structure where table headers are bound to details in reports requires retaining field association relationships during chunking, to avoid splitting that damages data integrity. Excel files with large numbers of detail rows and multi-page PDF reports require controlling chunk granularity to prevent individual chunks from becoming too large and affecting subsequent retrieval and summary. At the same time, the accuracy of final account data requires parsed data to retain the original caliber, and chunking must not lose the binding relationship between key explanations and corresponding data, to avoid issues such as caliber deviations or rejected reports.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to mixed content of structured rows and unstructured explanations in final account statements, avoiding splitting that damages the integrity of single income/expenditure or asset records |
chunkSplitter | By paragraph + header grouping | Matches the structure where table headers are bound to details in final account statements, retaining the association between fields such as income/expenditure and assets and their corresponding data |
customPdfParse | Enable structured parsing mode | For final account explanations and reports in PDF format, retain layout and field hierarchy when extracting text, avoiding messy text |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the complete parsing time required for annual final account PDF files with 500 to 1000 pages per file |
chunkSettingMode | Manual configuration | For batch heterogeneous final account files, flexibly adjust chunking rules to adapt to different document types, balancing structured reports and unstructured explanations |
Three Common Misconfigurations
- Internal network Confluence pages cannot be parsed for content. The cause is that access permissions and proxy rules for internal network data sources have not been configured, so parsing requests cannot connect to internal systems.
- Parsing annual final account PDF files with more than 1000 pages times out or returns empty results. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSparameter has not been adjusted to a duration suitable for large files, or the batch parsing mode ofcustomPdfParsehas not been enabled. - Excel-format final account detail reports have excessively large individual chunks after parsing, with insufficient retrieval granularity. The cause is that the
chunkSizeparameter has not been manually adjusted, the default oversized chunk setting has been used, and the association relationship between table headers and detail rows has not been retained during splitting.
How to Confirm the Configuration Is Correct
- Upload a single typical final account file on the FastGPT v4.17.0 platform, check the parsed chunk results, and confirm that each chunk contains complete table headers and corresponding detail content.
- Batch upload multiple final account files in different formats, check the completion status of parsing tasks, and confirm that there are no batch timeouts or parsing failures.
- For Excel-format detail reports, adjust the
chunkSizeparameter and re-parse, compare changes in chunk count and granularity, and confirm that they meet business requirements. - Test the connection to internal network data sources, confirm that parsing requests can normally access internal systems and extract valid content.
The values provided are common starting points and should be evaluated 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.