What the Data for This Category Looks Like
Core data for this category comes from the national pollution discharge permit management information platform, corporate environmental protection ledgers, online monitoring systems, and environmental statistics systems. The update frequency is quarterly. Commonly processed documents include pollution discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Document structures are divided by business items, and include fields such as emission concentration limits, emission amounts, monitoring points, and ledger cycles. Some documents have attached unit annotations, such as mg/m³ and tons/year.
Constraints Imposed on Document Parsing and Chunking
Diverse document types divided by business items require chunking to avoid breaking business logic integrity. Splitting solely by fixed character count is not permitted. Quarterly batch-updated documents have large single-file sizes. The parsing and chunking module must support large file upload and processing. Data fields have clear unit and limit requirements. Parsing must retain the correspondence between fields and units to prevent loss of key information after chunking. Multiple data sources have format differences. The module must support parsing for multiple document formats including PDF, Excel, and DOC.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of a single business module (such as emission limit descriptions) in pollution discharge permit documents, avoiding splitting that breaks business integrity |
chunkSplitter | Semantic segment splitting | Aligns with the item-based structure of pollution discharge permit documents, such as sampling requirements in self-monitoring plans or compliance self-assessments in implementation reports |
customPdfParse | Enabled | Retains tables and original images in pollution discharge permit PDF documents, avoiding loss of original layout and stamped information after OCR |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Addresses parsing time for batch quarterly implementation reports, avoiding timeout failures for large files |
UPLOAD_FILE_MAX_SIZE | 500 MB | Meets upload requirements for multi-page ledger records or batch monitoring data files |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types (such as application forms and implementation reports) to fit specific business scenarios |
Three Common Mistakes
- Scenario: Enabling PDF enhancement when importing PPT or DOC documents does not retain images in the parsed result. Reason: The PDF enhancement function only applies to PDF format documents and does not work for other formats.
- Scenario: Parsing an Excel file fails to extract all sheet names and content. Reason: The multi-sheet recognition logic for the corresponding configuration item is not enabled, and only the default sheet is parsed by default.
- Scenario: Parsing large quarterly pollution discharge ledger files triggers timeout errors. Reason: The
PARSE_FILE_TIMEOUT_SECONDSparameter has not been adjusted to a value suitable for batch files, and the timeout threshold is too low.
How to Confirm Proper Configuration
- Upload a single PDF copy of a pollution discharge permit. Check if the parsed result retains the original stamped images and layout to confirm that the
customPdfParseconfiguration is active. - Import an Excel implementation report with multiple sheets. Check if the parsed result includes the names and corresponding content of each sheet.
- Upload a quarterly ledger record file of around 100MB. Confirm that no timeout prompt appears during parsing to verify that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is reasonable. - Split document fragments from different business modules. Check if the chunking results are divided by business items and do not include cross-module split content.
The values given 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.