Party Building Learning Q&A for Department Budget Preparation: Document Parsing and Chunking

Party Building Learning Q&A for Department Budget Preparation: Document Parsing and Chunking

Reference only; verify against the target FastGPT release and deployment documentation.

What This Category of Data Looks Like

Data related to department budget preparation typically comes from budget management integrated systems, department staff establishment systems, prior-year final accounts, project libraries, and Ministry of Finance budget preparation notices. Its update frequency is annual. Commonly processed documents include department budget drafts, project application forms, performance target forms, staff expense calculation forms, and budget approvals. These documents contain fields such as project codes, performance indicators, staff establishment numbers, and amounts. Most amount units use ten thousand yuan. Some documents include multi-page tables and hierarchical project description text.

The annual centralized update feature requires parsing modules to batch process multiple documents submitted by subordinate units, to avoid timeout interruptions for single files. Mixed document types require parsing modules to adapt to different budget file formats, while retaining field association relationships in structured tables. Hierarchical project descriptions and independent project code and performance target fields require that chunking does not split cross-project associated content. Otherwise, accurate matching of budget-related content in subsequent party building learning Q&A will be affected. Differences in document formats exported from different systems also require parsing modules to have flexible format adaptation capabilities.

How to Configure the Settings

Configuration ItemRecommended SettingBasis for This Setting
chunkSize800–1200 charactersDepartment budget documents contain long-text project descriptions and structured table fields. This range preserves complete associated information for a single project
chunkSplitterSplit by paragraph + titleBudget documents have clear section titles and independent project paragraphs. This splitting method avoids splitting cross-project budget-associated content
PARSE_FILE_TIMEOUT_SECONDS600 secondsWhen batch processing annual budget summary files, prevents task interruptions due to excessive parsing time
UPLOAD_FILE_MAX_SIZE1000 MBSupports uploading batch budget application file packages submitted by subordinate units
customPdfParseEnable structured table parsingStaff expense calculation forms and performance target forms in budget documents contain large numbers of structured tables. Enabling this preserves field correspondence

Three Common Mistakes

  • Calling the file parsing API shows success but returns no results. The cause is incorrect configuration of the PARSE_FILE_TIMEOUT_SECONDS parameter, or failure to trigger a clear error prompt after a file exceeds the UPLOAD_FILE_MAX_SIZE limit.
  • Marker module logs show split errors. The cause is that merged cell tables in budget documents are not correctly identified by customPdfParse, leading to format exceptions or content truncation during chunking.
  • Document parsing speed is too slow. The cause is failure to adjust chunkSize to a reasonable range, or processing too many large file packages that exceed system load.

How to Confirm the Configuration Is Correct

  • Upload a single department budget draft file, check if the parsed chunked content retains the complete budget description and corresponding fields for a single project.
  • Call the file parsing API, verify that the returned results contain complete chunked text and metadata, with no empty fields or truncated content.
  • Upload a batch budget application file package from subordinate units, confirm that the parsing process does not experience timeout interruptions.
  • View parsing logs, confirm there are no split-related errors, and that the field correspondence of structured tables is not damaged.

The values provided are common starting points. They should be evaluated against the samples relevant to the deployment.

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.