What typical data for this category looks like
Typical data for this category comes from urban management law enforcement platforms, urban operation grid platforms, video surveillance, and public complaint work orders. Update frequency is daily. Daily documents include inspection records, case filing approval forms, on-site photos, rectification notices, penalty decisions, case closure reports, and more. Some documents contain both structured form fields and unstructured on-site descriptions. Fields cover case numbers, violation locations, responsible parties, rectification requirements, penalty content, and others. Some associated documents require retaining cross-file contextual connections.
What constraints do these characteristics impose on the document parsing and chunking stage
High-frequency daily updated data requires the parsing process to have high efficiency, to avoid delaying case circulation. Mixed-format documents from multiple sources require simultaneous processing of structured forms, unstructured text, and images. Chunking rules must balance field integrity and semantic coherence. For case documents with cross-file associations, chunking must not split content from different stages of the same case. Otherwise, subsequent contextual retrieval for law enforcement workflows will be impacted. Descriptive content related to on-site evidence collection must retain precise positioning information. Chunk length should not be too short, which would split critical information.
How to set configurations
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category include structured fields and unstructured descriptions. A chunk length of 800–1200 characters preserves the integrity of single case information, preventing critical fields from being split |
chunkSplitter | Chunk by paragraph + semantic meaning | Dividing content from documents such as inspection records and penalty decisions by paragraph preserves logical coherence, and fits the scenario-specific descriptive structure of urban management law enforcement documents |
customPdfParse | Enabled | For standard PDF forms such as rectification notices and penalty decisions, custom parsing accurately extracts form fields, improving subsequent retrieval accuracy |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some cases include multiple on-site photos and video screenshots. A higher upload limit prevents complete case documents from being blocked |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-volume or multi-attachment case documents takes longer. A 600-second timeout setting prevents normal parsing tasks from being forcibly terminated |
chunkSettingMode | Manual mode | Allows separate adjustment of chunking rules for different document types such as inspection records and penalty decisions, adapting to the diverse document structures of this category |
Three common misconfigurations
- Symptom: When using Claude-series models, normal chat functions operate correctly, but errors occur after file parsing is added. Cause:
customPdfParseis not enabled to adapt to urban management law enforcement PDF forms, causing the model to fail to correctly extract form fields and triggering parsing exceptions. - Symptom: Online search parsing results return JSON errors, with empty fields. Cause: Parsing rules are not adjusted for the field structure of urban management law enforcement documents, causing format conflicts during the serialization process.
- Symptom: After integrating pdf-marker, parsing large files results in long wait times with no response until timeout. Cause: Reasonable
PARSE_FILE_TIMEOUT_SECONDSis not configured, and task queuing mechanism is not enabled. Large tasks occupy resources, causing subsequent requests to block.
How to confirm configurations are properly set
- Upload a typical urban management law enforcement case filing approval form, check if parsed text fully extracts core fields such as case number and violation location.
- View the
PARSE_FILE_TIMEOUT_SECONDSconfiguration value, confirm it is greater than 600 seconds to avoid parsing timeouts for large-volume case documents. - Upload a patrol record PDF containing multiple on-site photos, check if chunked content retains the connection between photo descriptions and basic case information.
- Test the parsing process integrated with pdf-marker, confirm the task queue operates normally, with no long wait times or unresponsive states.
The values listed here are common starting points, and should be evaluated against the applicable sample documents.
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.