What the data for this category looks like
Core data for this category originates from daily work documents of ecological environment law enforcement detachments and monitoring stations. These include on-site inspection records, sampling records, monitoring reports, order for correction decisions, administrative penalty decisions, and structured data exported from online monitoring platforms and pollution source automatic monitoring systems. Data update frequency is daily. Significant differences exist across document structures:
- On-site inspection records follow a short entry format, with fields including inspection time, location, operating conditions and others.
- Monitoring reports include professional fields such as sampling location, pollutant concentration, detection method and others, mostly using units mg/m³ or mg/L.
- Law enforcement documents have identifying fields such as fixed document numbers and law enforcement units.
What constraints do these characteristics impose on the "document parsing and chunking" link
Multiple source document format differences require the parsing module to adapt to structured tables, PDF documents, plain text logs and other types. Daily updated data volume requires the chunking process to have efficient processing capabilities. The presence of professional terminology and fixed fields requires chunking to retain contextual association, avoiding splitting law enforcement basis and core judgment content. Differences in document structures across different types require chunking rules to not use a single logic, and need to adapt to splitting requirements for different units such as paragraphs, headings, and tables.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category contain professional terminology and fixed fields. This length retains contextual association and avoids splitting penalty basis and document numbers in law enforcement documents. |
chunkSplitter | Split by paragraph + heading | Documents in this category have clear chapter divisions. Splitting by heading preserves logical units and avoids splitting sampling instructions and judgment conclusions in monitoring reports into different chunks. |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Parsing large monitoring reports or batches of law enforcement documents takes a long time. This range covers parsing durations for most conventional documents. |
customPdfParse | Enabled | PDF law enforcement documents in this category often have fixed headers and footers. Custom parsing filters redundant document numbers and law enforcement unit identifiers, improving retrieval accuracy. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Batch-imported monitoring report collections or historical data files exported from online monitoring platforms have large file sizes. This upper limit meets conventional import requirements. |
Three common mistakes
- Issue: After a publicly shared Yuque link is imported, the parsing result is empty or a parsing failure prompt is displayed. Cause: The link is not confirmed to be publicly accessible, or the linked document has private permission settings.
- Issue: After an HTTP tool call is configured, parameter parsing is normal but actual execution is not triggered. Cause: The data source permission of the corresponding knowledge base is not bound, or the call parameters do not match the field format requirements of documents in this category.
- Issue: Imported PDF law enforcement documents cannot be opened in search results. Cause: The
customPdfParseconfiguration is not enabled, causing embedded headers, footers or redundant links in the PDF to not be filtered correctly, making it impossible to generate normally accessible index entries.
How to confirm the configuration is complete
- A single monitoring report PDF is uploaded, and the parsed text is checked to confirm retention of core professional fields such as sampling location and pollutant concentration.
- A publicly shared law enforcement document link from Yuque is imported, and the parsed chunks are checked to confirm they contain complete penalty basis and rectification requirement content.
- An HTTP tool call is configured, simulated law enforcement data parameters are passed, and the tool is checked to confirm normal triggering of the request process.
- The system's file upload limit is checked, and the imported large monitoring report collection is confirmed to not exceed the set value of
UPLOAD_FILE_MAX_SIZE.
The values provided are common starting points and should be evaluated against sample data 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.