What this category of data looks like
The core data for this category comes from the national unified construction project EIA declaration and approval system, ecological environment zoning control results, pollution discharge permit platform, and monitoring data. The update frequency is irregular. Daily processed documents include environmental impact statements, environmental impact report forms, approval applications, public participation descriptions, technical assessment opinions, EIA approvals, and similar materials. Most documents contain fields such as project category, EIA level, pollution prevention measures, public participation content, and approval opinions. There are no unified fixed units, and field content changes based on the specific details of each project.
What constraints do these characteristics impose on the document parsing and chunking link
Documents for this category have scattered sources and diverse formats. Single documents such as environmental impact statements are lengthy and contain professional technical content. The irregular update frequency requires parsing logic to adapt to new document formats. Core fields including project category, EIA level, and pollution prevention measures must be retained during document processing. Chunking must avoid truncating key approval-related content, otherwise subsequent Q&A workflows cannot match valid information. Additionally, field differences across multiple data sources require the parsing link to support document inputs with varying structures, ensuring consistency in subsequent chunking.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunkSize | 1000–1500 characters | Single chunks for EIA documents must cover complete project information or approval opinions to avoid truncating core approval content. This range adapts to the paragraph length of most EIA documents |
chunkSplitter | Segment by Markdown headings and paragraphs | Most EIA documents are divided by chapters. Segmenting by headings preserves document structure, facilitating subsequent accurate matching of content such as project category and pollution prevention measures |
customPdfParse | Enable structured parsing mode | EIA PDF documents often contain tables and fixed-format approval content. Structured parsing can extract table fields, avoiding loss of structured information compared to plain text parsing |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single environmental impact statements are lengthy, requiring sufficient time to complete full parsing and avoid parsing failure due to timeout |
chunkSettingMode | Manual configuration mode | Allows adjustment of chunking parameters for different types of EIA documents, adapting to the format requirements of statements, report forms, and other document types |
Three Common Mistakes
- Uploading an EIA document results in parsing failure, with a timeout error returned in logs. The cause is failure to adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter. The parsing duration of a single lengthy EIA document exceeds the default threshold. - Chunking results truncate complete content for EIA level or pollution prevention measures. The cause is that the
chunkSizevalue is too small, failing to adapt to the core content length of EIA documents. - Custom processing logic cannot be implemented after parsing. The cause is failure to correctly configure the custom parsing script entry in the system, and failure to write processing methods adapted to EIA documents in accordance with platform requirements.
How to Confirm Configuration is Correct
- Upload a standard environmental impact report form, view parsed chunking results, and confirm core project information is not truncated.
- Adjust
PARSE_FILE_TIMEOUT_SECONDSto 300 seconds, upload a single lengthy environmental impact statement, and confirm no timeout errors occur during parsing. - After configuring the custom parsing script, upload an EIA document containing tables, and confirm table content is correctly extracted and included in chunks.
- Switch
chunkSettingModeto manual configuration, modify thechunkSizeparameter, and confirm chunk length changes correspondingly with the configuration.
The values provided here are common starting points, and should be evaluated against the samples relevant to the specific use case.
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.