What This Type of Data Looks Like
Ledger data for urban investment platforms mainly comes from official submission documents including project approval documents, monthly fund allocation vouchers, land transfer detail reports, debt statistical ledgers, and others. Data updates follow a monthly or quarterly rhythm. Individual documents often contain multi-column structured tables and scattered text notes. Fields include project code, land transfer amount, principal and interest repayment amount, responsible department, and more. Units include ten thousand yuan, mu, hundred million yuan, and others. Some documents include nested tables or cross-page continuous tables.
Constraints on Document Parsing and Chunking
Multi-column nested and cross-page tables can cause column shift and row truncation in general parsing tools. This directly reduces the accuracy of field matching for subsequent ledger summary. Large monthly batch update volumes and large individual file sizes raise higher requirements for parsing timeout limits and upload size limits. Field units are tightly bound to business attributes. Losing the association between a field and its corresponding unit during chunking will cause data confusion when generating reports. Splitting cross-page continuous tables will also break the complete logic of a single ledger entry, leading to data gaps in subsequent summary.
Configuration Settings
These configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Urban investment platform ledgers mostly combine structured tables and short text. This range preserves the complete field association of a single ledger entry, and avoids truncating single records in cross-page tables |
chunkSplitter | Split by table first | Urban investment documents mix text and tables. This splitting method preserves the overall structure of tables, and avoids splitting a single table into multiple independent chunks |
customPdfParse | Enabled | PDF documents from urban investment platforms mostly follow official submission formats. Enabling custom parsing improves recognition accuracy for nested tables and cross-page tables |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Individual batch-submitted ledger documents may include multiple pages of tables and attachments. This upper limit covers the size requirements of most standard submission files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large ledger documents take longer to parse. This timeout setting prevents tasks from being terminated before parsing completes |
chunkSettingMode | Manual configuration | The structural characteristics of urban investment documents differ from general scenarios. Manual configuration allows targeted adjustments to chunking rules |
Three Common Misconfigurations
- After uploading an urban investment platform ledger document with multi-column nested tables, the parsing result shows column misalignment or missing fields. This occurs because parsing rules are not optimized for structured tables, and general parsing logic cannot adapt to the multi-column nested format of urban investment platform ledgers.
- After uploading a PDF ledger file with embedded images, the associated images in the document cannot be viewed. This occurs because the
customPdfParseconfiguration is not enabled, and the default parsing mode does not extract and associate images embedded in PDFs. - After uploading large ledger documents in batches, parsing times out or tasks fail. This occurs because the
PARSE_FILE_TIMEOUT_SECONDSandUPLOAD_FILE_MAX_SIZEparameters are not adjusted, and file sizes or parsing times exceeding default limits trigger system termination.
How to Verify Proper Configuration
- Upload a test urban investment platform ledger document with multi-column nested tables, check the table column alignment in the parsing result to confirm no obvious shifts.
- Upload a test PDF ledger file with embedded images, confirm that the associated images can be viewed normally after parsing.
- Upload a test document with a size close to the
UPLOAD_FILE_MAX_SIZElimit, confirm that the parsing task completes normally without timeout errors. - Generate a test report based on the parsed chunked data, check that no field or unit confusion occurs in the ledger data.
The values listed here are common starting points, and should be evaluated against your own specific 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.