What the data for this category looks like
The typical entities for this category are law enforcement agencies such as market supervision, ecological environment, transportation, emergency management, and urban management. Daily processed documents include on-site inspection records, interrogation transcripts, evidence lists, prior administrative penalty notification letters, hearing notification letters, penalty decisions, and service receipts. Data sources include administrative law enforcement case handling systems, law enforcement recorder footage, the national enterprise credit information publicity system, and departmental supervision databases. The update frequency is daily. Most documents combine formatted texts and semi-structured tables, with fixed fields such as violation facts, penalty decisions, evidence entries, and party information.
What constraints do these characteristics impose on the document parsing and chunking link
Law enforcement case file documents have diverse types and fixed structures. The logical connection of the evidence chain must be retained, so parsing and chunking must not split complete paragraphs of the same document. Data sources include non-standard law enforcement recorder footage and multi-format files, so parsing rules for multiple file types must be supported. Daily updated business data requires the parsing process to have timeliness, to avoid delays that affect case handling progress. At the same time, the accuracy of parsing results is directly related to case file review and penalty validity. Core fields must be ensured to be complete and extracted without errors, to avoid penalty revocation, administrative reconsideration failure, or case file review failure caused by parsing errors.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Single administrative penalty case file documents are mostly 1000-3000 characters long. Chunking must retain the logical integrity of a single document to avoid splitting evidence connections |
chunkSplitter | Semantic segment chunking | Case file documents contain content with different structures such as transcripts and decision letters. Chunking by semantic segments can retain the integrity of core information such as violation facts and penalty basis |
customPdfParse | Enabled | Most case file documents are in PDF format. Enabling custom PDF parsing can extract form fields and text content, avoiding missing structured data such as evidence lists and party information |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Single case file may contain multi-page documents and associated evidence. Sufficient parsing time must be reserved to avoid parsing failure due to timeout |
UPLOAD_FILE_MAX_SIZE | 50–100 MB | Law enforcement case files may include law enforcement recorder footage and multiple documents uploaded in batches. The file size limit must support batch uploads |
Three Common Misconfigurations
- Phenomenon: After uploading an Excel-format evidence list, the parsing result only displays text without table entries. Cause: No parsing rules for table files are configured, and the default parsing mode cannot fully extract structured evidence entries from Excel.
- Phenomenon: When parsing a case file PDF with more than 100 pages, a 504 request failure status code is returned. Cause: The
PARSE_FILE_TIMEOUT_SECONDSvalue is set lower than the actual required parsing time, causing a timeout interruption. - Phenomenon: The chunked interrogation transcript and penalty decision content have no associated matching. Cause:
chunkSplitteris configured to chunk by fixed characters, not by semantic or document paragraphs, destroying the logical connection of the evidence chain.
How to Verify Proper Configuration
- Upload a single standard administrative penalty decision PDF, and check the parsing result for core fields including violation facts, penalty basis, and decision content.
- Upload an Excel evidence list containing tables, confirm that the parsing result can extract entries such as evidence name, quantity, and source from the table.
- Upload a packaged case file with more than 10 pages, check that the parsing time matches the
PARSE_FILE_TIMEOUT_SECONDSsetting, and no timeout errors occur. - View the chunked text fragments, confirm that adjacent chunks do not split complete logical paragraphs of the same document.
The values provided here 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.