Business Process Guidance for Departmental Budget Preparation: Document Parsing and Chunking

Business Process Guidance for Departmental Budget Preparation: Document Parsing and Chunking

What Data for This Category Looks Like

Departmental budget preparation-related data typically originates from the budget management integrated system, departmental staffing establishment system, prior year final accounts, project library, and Ministry of Finance budget preparation notices. The update cycle is annual. Daily processed documents include departmental budget drafts, project application forms, performance target forms, personnel expense calculation forms, and budget approvals. These documents contain fields such as project codes, expenditure amounts, staffing headcounts, and performance target values. Some documents use structured tables to display data.

The annual update cycle of departmental budget documents requires parsing and chunking rules to include flexibility, to adapt to annual format adjustments. Documents from multiple sources have wide format variations, from plain text descriptions to complex nested tables. Accurate table boundary identification is required to prevent data misalignment. Core data has clear logical links: for example, project codes must be tied to corresponding expenditures and performance targets. Chunk operations cannot split these associated fields. Single-year summary documents have large file sizes. Balancing upload and parsing time limits is necessary to avoid process interruptions caused by improper configuration.

How to Configure Settings

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersDepartmental budget documents contain multi-field associated content, to avoid losing associations between projects and performance targets after splitting
chunkSplitterSplit by title + paragraph + table blockAdapt to the structured chapters and table layouts of budget documents, reduce parsing misalignment
customPdfParseEnabledAdapt to the parsing needs of complex nested tables in budget documents, resolve table misalignment issues from native parsing
UPLOAD_FILE_MAX_SIZE100 MBCover the upload needs of single-year multi-department budget summary files, prevent files from being blocked due to excessive size
PARSE_FILE_TIMEOUT_SECONDS300 secondsAdapt to the parsing time of large budget documents, avoid parsing failures due to timeouts
chunkSettingModeManual configurationAdjust chunking rules for the special structure of budget documents, adapt to format changes across different document batches

Three Common Configuration Mistakes

  • Table content displays misalignment after uploading budget documents. When customPdfParse is not enabled, native parsing cannot accurately identify nested table structures in budget documents, leading to misalignment of data rows and columns.
  • Parsing fails after uploading a file during a conversation. Improper configuration of UPLOAD_FILE_MAX_SIZE or PARSE_FILE_TIMEOUT_SECONDS causes the file to be blocked or parsing to time out due to exceeding configured thresholds.
  • Core fields are split after chunking, such as project codes and corresponding expenditure amounts being placed in different chunks. A too-small chunkSize setting splits originally associated field groups, damaging data integrity.

How to Confirm Proper Configuration

  • Upload a typical single budget document, check that the parsed tables are complete and free of misalignment, and verify that the chunked content includes complete project and performance target association information.
  • Upload a test file close to the configured UPLOAD_FILE_MAX_SIZE value, confirm that the upload and parsing processes have no errors.
  • Adjust chunkSize to different ranges, compare chunking results, and ensure that core fields are not split.
  • In FastGPT v4.17.0, use API connection testing to confirm that parsing results returned after file upload meet expectations, with no timeout errors.

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.