What this category of data looks like
The data for this category originates from centralized treasury payment systems, unified budget management systems, electronic invoice platforms, and contract management systems. The update frequency is daily. Commonly processed documents include payment applications, fund appropriation plans, invoices, contracts, acceptance reports, reimbursement approval forms, and payment vouchers. Most document structures include fields such as budget indicator number, economic classification code, payment amount, and approval workflow nodes. The currency unit is Renminbi yuan. Some documents are digitally signed PDF files, while others are structured spreadsheets.
Constraints on Document Parsing and Chunking
Multi-source documents updated daily require parsing tools with stable batch processing capabilities to prevent timeouts or parsing failures. Digitally signed PDF documents may disrupt standard parsing workflows, requiring specialized parsing logic. Documents contain two types of content: structured fields and unstructured policy clauses. Fixed-length chunking can easily break the link between budget indicators, approval workflows, and policy basis, so chunking rules must be adjusted based on business logic. Some documents are in spreadsheet format, so row and column structures must be identified to preserve field associations and avoid misalignment of fields after parsing. Compliance reviews for individual payments require linking to corresponding policy clauses, so chunking must retain sufficient contextual span to ensure complete matching of basis during Q&A.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the average length of policy clauses and business fields in this category of documents, avoiding breaking associated content |
chunkSplitter | Semantic chunking | Retains contextual associations between approval workflows, budget indicators, and corresponding policy clauses, aligning with audit logic |
customPdfParse | Enable signed PDF parsing mode | Resolves the issue where content cannot be properly extracted from digitally signed PDF documents |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to the parsing time of multi-source batch documents, avoiding task interruption due to timeout |
UPLOAD_FILE_MAX_SIZE | 100 MB | Covers the size range of common batch documents such as contracts and payment vouchers in this category |
chunkSettingMode | Manual configuration | Customize chunking rules for this category’s document structure to meet business association requirements |
Three Common Misconfigurations
- After uploading a digitally signed PDF document, the parsing result fails to extract policy clauses or displays empty content. The cause is that the
customPdfParseconfiguration is not enabled, and standard parsing logic cannot handle digitally signed PDF formats. - An error is returned when calling the Doc2x tool, indicating that only .txt and .m formats are supported. The cause is that the uploaded document format exceeds the tool’s supported range, or the
UPLOAD_FILE_MAX_SIZEconfiguration was not correctly set to limit file size. - Parsed chunked content breaks the association between budget indicators and corresponding policy clauses, resulting in incomplete basis being returned during Q&A. The cause is using a generic fixed-length chunking configuration without adjusting chunking rules according to business semantics.
How to Verify Correct Configuration
- Upload a single digitally signed PDF document, and check if the parsing result contains complete policy clauses and business fields.
- Upload batch documents, and check if parsing tasks complete within the configured time period with no timeout errors.
- Select a mixed document containing policy basis and business applications, and check if the chunked result retains the contextual association between the two.
- Upload a maximum-size document within the configured limits, and confirm that the parsing process does not abort abnormally.
The values provided here 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.