What the data for this use case looks like
This use case serves housing and urban-rural development bureaus, administrative examination and approval bureaus, comprehensive engineering construction project approval windows, and construction units. Data comes from engineering construction project approval management systems, construction drawing review systems, enterprise qualification databases, and credit platforms. The update frequency is daily.
Commonly processed documents include construction permit application documents, construction drawing review qualification certificates, quality and safety supervision procedures, and completion record forms. Each single document may contain multiple pages of approval forms, participating unit qualification lists, parallel approval node tracking tables and other structured content. Fields cover unit names, qualification levels, approval status and more. Some Excel datasets contain tens of thousands of ledger entries, and formats vary based on the exporting system.
What constraints do these characteristics impose on the document parsing and chunking link
Daily updated multi-source data requires the parsing link to support batch processing of files in multiple formats. Each single document may contain structured forms and unstructured explanatory text. Accurate splitting of approval-related fields and redundant explanatory text is required for mixed format content.
Tens of thousands of rows of Excel ledger data must avoid chunking that breaks key associated fields such as qualifications and approval nodes. The setup must also adapt to format differences from export systems of different sources.
Ultra-long Word documents and files with mixed tables require chunking logic that balances contextual coherence and field integrity. This prevents loss of associated approval process information after chunking.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapt to the maximum volume requirement of a single completion record file combined with attachments |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Address parsing time consumption for tens of thousands of rows of Excel ledger data and ultra-long Word documents |
chunkSize | 800–1200 characters | Balance the integrity of approval fields and contextual coherence, avoid splitting that breaks associated information such as qualifications and nodes |
chunkSplitter | Split by paragraph + table | Adapt to document structures mixed with approval forms, qualification lists and explanatory text |
customPdfParse | Enabled | Retain form field structures in PDF documents such as construction drawing review qualification certificates, avoid losing format information with plain text parsing |
chunkSettingMode | Manual configuration | Adjust chunking rules for approval documents from different sources, adapt to format differences from multi-system exports |
Three common mistakes
- Phenomenon: A Word document containing 100,000 Chinese characters times out during parsing, with a 504 status code returned. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default timeout duration is insufficient for processing ultra-long approval documents. - Phenomenon: Vector data after chunking loses participating unit qualification fields, leading to null values during ledger summary. Cause:
chunkSplitterwas configured to split by fixed characters, failing to retain the association between tables and paragraphs. - Phenomenon: Excel data exported from the approval system cannot be associated with the corresponding approval node ID after chunking. Cause:
chunkSizewas set too small, splitting associated paragraphs containing approval nodes and corresponding units.
How to confirm the configuration is correct
- Upload a single construction permit application document containing 100,000 Chinese characters, check whether parsing completes within the
PARSE_FILE_TIMEOUT_SECONDSduration, with no timeout errors. - Import Excel approval ledgers containing tens of thousands of rows, verify that each chunked data entry retains core fields such as unit names and qualification levels, with no null values or misalignment.
- Enable
customPdfParse, upload a construction drawing review qualification certificate PDF, check whether the parsed text retains the form field titles and corresponding values from the original document. - Adjust
chunkSizeto800–1200 characters, compare the integrity of approval node association information before and after chunking, confirm that key associated content is not lost.
The values provided here 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.