Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
The core data of this category comes from daily documents of eco-environment department pollution discharge permit management posts, pollution discharge units’ environmental protection departments, and third-party environmental protection service institutions. This includes pollution discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Data sources cover the national pollution discharge permit management information platform, enterprise environmental protection ledgers, online monitoring systems, and environmental statistics systems. The update frequency is quarterly. Document structures include fixed chapters and dynamic monitoring data. They involve professional content such as industry technical specifications and permit limits. Field units include concentration, flow, time, and other measurement standards directly related to pollution discharge control.
What constraints these characteristics impose on the document parsing and chunking link
Documents updated in quarterly batches have large scale. This requires the parsing link to support batch processing and large file uploads. Document types are diverse, with fixed chapters and dynamic tables. This requires chunking logic to retain document structure to avoid damaging the integrity of professional content. The data involves strict compliance requirements. Parsing processes must ensure no encoding errors or content truncation. Different document types have significant structural differences. This requires flexibly adaptable chunking configurations. The system must also support document traceability. This ensures subsequent question answering can link to specific source documents and paragraphs.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of core paragraphs in pollution discharge permit documents, such as permit limits and monitoring data. Avoids cutting that damages the integrity of professional content |
chunkSplitter | Chunk by title + paragraph | Pollution discharge permit documents often have clear chapter titles. Retaining title structures ensures logical coherence of chunked content, and facilitates subsequent precise positioning |
customPdfParse | Enabled | Adapts to fixed-format tables and stamped content in pollution discharge permit PDF documents. Resolves encoding and structure loss issues during parsing of multi-format files |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Matches the parsing time per file for quarterly batch documents. Prevents parsing failures caused by timeouts |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports upload of large files such as ledger records with large volumes of monitoring data. Adapts to the batch data processing needs of this category |
chunkSettingMode | Manual mode | Different types of pollution discharge permit documents have significant structural differences. Manual configuration allows flexible adjustment of chunking rules to adapt to various scenarios |
Three common mistakes
- Issue: When uploading PPT or XLSX format pollution discharge permit documents, the interface displays the error "the argument ‘windows-1252’ is invalid encoding". Cause: Custom parsing configuration is not enabled. The default encoding cannot recognize non-standard character sets in the document, leading to parsing failure.
- Issue: When batch parsing quarterly updated pollution discharge permit implementation reports, some files show parsing timeout. Cause: The value set for
PARSE_FILE_TIMEOUT_SECONDSis too small. It does not match the parsing time of a single large implementation report. - Issue: Chunked results cannot be linked to specific permit limit paragraphs. Traceability information is missing. Cause:
chunkSplitteris configured to chunk by pure character count. The document’s title structure is not retained. This leads to fragmented chunked content that cannot match the chapter logic of the original document.
How to confirm the configuration is correct
- Upload a single pollution discharge permit application form PDF. Check that the parsed text fully retains core professional content such as the applying unit and emission limits. No obvious truncation or garbled text appears.
- Upload multiple different types of pollution discharge permit documents (implementation reports, ledger records, change applications). Verify that all files have a successful parsing status. No encoding errors or parsing failure prompts appear.
- Review the chunked results. Confirm that each chunk contains complete chapter titles and corresponding content. No independently truncated professional terms or numerical fields exist.
- Test the document traceability function. Confirm that during question answering, the system can link to the source document and specific paragraph position of the corresponding chunk.
The values listed above are common starting points. They should be evaluated 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.