What the data for this category looks like
This category of data mainly comes from the territorial spatial basic information platform, natural resource survey and monitoring datasets, population and economic statistical results, and remote sensing imagery. Commonly processed documents include territorial spatial overall plans, detailed plans, special plans, planning implementation evaluation reports, and public opinion summary materials. Data updates occur annually. Most documents include spatial coordinate parameters, control constraint indicators, special facility layout descriptions, and feedback from multiple departments. Fields cover planning control zones, land use scale, implementation evaluation nodes, and similar items. Standard spatial measurement units such as hectares and square kilometers are commonly used.
What constraints do these characteristics impose on the document parsing and chunking step
Batch documents updated annually have notable structural differences. Some follow the fixed chapter framework of official planning texts, while others consist of scattered entries from public opinion summaries. This requires adapting content splitting logic to different formats. Fields with units such as spatial coordinates and control indicators must not be incorrectly split, and the binding relationship between fields and their units must be preserved. For multi-source data integration needs, chunking must retain associated context across documents, avoiding separation of corresponding content between policy basis and implementation evaluation. Short texts from public opinion summaries must not be over-split, as this reduces the accuracy of question-and-answer matching. Embedded remote sensing image annotations and tabular data in documents must be fully parsed to prevent table misalignment or content loss.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapt to the chapter and paragraph length of planning texts, avoid splitting key fields such as spatial indicators and coordinates |
chunkSplitter | Split by paragraph + heading | Adapt to the chapter structure of planning documents, retain the binding relationship between policy clauses and corresponding indicators |
customPdfParse | Enabled | Adapt to the parsing needs of embedded remote sensing image annotations and complex tables in planning documents, avoid misalignment from native parsing |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Reserve sufficient parsing time when processing large-capacity planning reports or batch parsing of multiple documents, prevent timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapt to the upload needs of a single large special planning document, avoid interception due to oversized files |
chunkSettingMode | Manual configuration | Adjust chunking rules flexibly for the special structure of planning documents, adapt to the context retention requirements of multi-source data integration |
Three common errors
- Issue: Row and column misalignment appears when uploading spatial control tables from planning documents, with fields becoming disordered after parsing. Cause: The
customPdfParseconfiguration is not enabled, and the native parsing engine cannot adapt to the complex nested table structure of planning documents. - Issue: Some documents fail to parse and return timeout status codes when batch uploading multiple planning reports. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient to complete parsing of large-capacity documents. - Issue: Short texts from public opinion summaries are split into multiple independent chunks, making it impossible to associate corresponding policy clauses during question-and-answer matching. Cause: The
chunkSizeis set too small, andchunkSplitteris not configured to split by heading, resulting in forced splitting of short content.
How to confirm the configuration is correctly set
- Upload a special planning document containing complex tables, and check whether the parsed text retains the table row and column structure without misalignment.
- Upload a single planning report with a capacity exceeding 500 MB, and confirm that the upload and parsing process is not interrupted and no error prompts are displayed.
- Extract a short text chunk from public opinion summary materials, and verify that it is stored in the same chunk as its associated policy clauses.
- Access the backend configuration panel of FastGPT v4.17.0, and confirm that parameters such as
customPdfParseandPARSE_FILE_TIMEOUT_SECONDShave been enabled according to the preset values.
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.