What this category of data looks like
This category of data mainly comes from the national pollutant discharge permit management information platform, enterprise environmental protection account books, online monitoring systems, and environmental statistics systems, with a quarterly update frequency. Daily processed documents include pollutant discharge permit application forms, implementation reports, self-monitoring plans, account records, change applications, and permit copies. Most documents contain structured and semi-structured fields such as industry technical specifications, permit limits, monitoring data, and emission boundaries. Some account records are in the form of sequentially registered transaction logs.
What constraints do these characteristics impose on the document parsing and chunking link
Batch documents updated quarterly require parsing and chunking workflows that support batch processing, to prevent single-file parsing timeouts. There are significant structural differences across document types. Standardized application forms, multi-chapter implementation reports, and scattered account records have distinct format requirements. Chunking logic must adapt to multiple document structures. Core compliance fields such as permit limits and emission boundaries must be accurately located. Chunking must not break the binding between fields and their associated context. Otherwise, it will affect the accuracy of compliance checks in subsequent party building learning Q&A. The original data exported by online monitoring systems has diverse formats. Parsing must support non-standard PDF, CSV, and other formats.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Pollutant discharge permit documents include long text sections and scattered fields. This range balances context integrity and chunk granularity, supporting accurate recall of compliance clauses and monitoring data for party building learning Q&A |
chunkSplitter | Split by paragraph + title | Documents contain title hierarchies and paragraph structures. Splitting this way preserves section logic, preventing permit limits and their associated specifications from being split into different chunks |
customPdfParse | Enable high-precision OCR mode | Some account records are scanned PDF files. High-precision OCR can accurately identify handwritten or printed monitoring data, reducing parsing error rates |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single pollutant discharge permit implementation report usually has a large number of pages. 600 seconds covers the parsing time for batch files, preventing parsing failures due to timeouts |
chunkSettingMode | Manual configuration | There are significant differences in chunking requirements across document types (application forms, implementation reports). Manual configuration allows targeted parameter adjustments to meet the scenario requirements of party building learning Q&A |
UPLOAD_FILE_MAX_SIZE | 1000 MB | A single pollutant discharge permit implementation report usually does not exceed 50 pages. 1000 MB covers the maximum file requirement for batch uploads, preventing upload failures due to oversized files |
Three common mistakes
- Unable to locate the configuration entry for custom PDF parsing. The cause is that the corresponding parsing plugin is not deployed, or the FastGPT version is lower than v4.17.0. Confirm the plugin status and version compatibility.
- An OCR Error error occurs when parsing scanned pollutant discharge account records. The cause is that high-precision OCR mode is not correctly enabled, or the resolution of the uploaded scanned file is insufficient, leading to text recognition failure.
- Some files are not parsed during batch upload of pollutant discharge implementation reports. The cause is that
PARSE_FILE_TIMEOUT_SECONDSis set too short, or the file size exceeds theUPLOAD_FILE_MAX_SIZElimit, causing the parsing task to be forcibly terminated.
How to confirm the configuration is correct
- Upload a standard pollutant discharge permit copy PDF, check if the parsed chunked titles and main text retain their original hierarchy, with no content loss.
- Upload a scanned pollutant discharge account file, verify that the parsing result can correctly identify monitoring data fields, with no garbled characters or missing content.
- Set
PARSE_FILE_TIMEOUT_SECONDSto 600 seconds, upload a single implementation report with more than 50 pages, confirm that the parsing task has no timeout errors. - Switch
chunkSettingModeto manual configuration, adjustchunkSizeto different ranges, verify that the chunked text length meets expectations.
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.