What Data for This Category Looks Like
The data mainly originates from internal coal mine scheduling duty logs, team shift handover records, equipment operation and maintenance ledgers, safety operation regulations, and employee post training courseware. Sources cover three scenarios: production sites, scheduling centers, and human resources departments. Update frequency varies significantly by document type: scheduling logs are updated per shift, operation and maintenance ledgers daily, and training coursewares quarterly. Documents include three structural types: long text specifications, structured tables, and scanned forms. Fields include equipment number, operation duration, hidden danger level, and post name. Units involve hours, shifts, and sets.
Constraints Imposed on Document Parsing and Chunking
Long-text safety operation regulations can span dozens of pages. When splitting documents, avoid truncating complete clauses or operating procedures. Structured equipment operation and maintenance ledgers contain multiple columns of associated fields. Chunking must retain table structures and field associations, and must not directly break them into plain text. Scanned shift handover records require OCR recognition while retaining handwritten content and layout, preventing loss of key signatures or data. Frequently updated scheduling logs require lightweight parsing processes to reduce single-parsing time. Mixed-format document input must support three common file types: PDF, Word, and scanned documents.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Ensures single-chunk semantic integrity for coal mine safety regulations and operation and maintenance ledgers, avoiding splitting operating procedures or associated fields |
chunkSplitter | Split by paragraph + heading | Retains the hierarchical structure of long texts, matching the chapter-based layout of coal mine documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers parsing time for dozens-of-page long documents and scanned document OCR, avoiding timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates single large equipment operation and maintenance ledgers or batches of scanned document collections |
customPdfParse | Enable advanced OCR mode | Adapts to scanned shift handover records, retaining handwritten content and layout |
chunkSettingMode | Manual configuration | Adjust chunking rules for different document types to support mixed-format input |
Three Common Misconfiguration Issues
- After uploading an equipment ledger exceeding 1000 MB, the parsing module outputs no logs and returns an empty result. The cause is that the
UPLOAD_FILE_MAX_SIZEparameter is not correctly configured, and files exceeding the threshold are intercepted before entering the parsing process. - A marker split error occurs when parsing scanned shift handover records, and logs show text extraction failed. The cause is that the
customPdfParseadvanced OCR mode is not enabled, and handwritten text in the scanned document is not fully recognized, causing an exception in the chunking logic. - When calling the parsing interface in batches, single parsing time exceeds business expectations. The cause is that the
chunkSizeconfiguration value is too small, generating too many chunks which increases subsequent processing time.
How to Verify Correct Configuration
- A single document at the maximum business volume is uploaded. Parsing logs are checked for complete processing progress, and the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is confirmed to cover the file’s parsing duration. - A long-text safety regulation document is imported. Chunking results are checked for retained chapter headings and complete operating procedures, and the
chunkSplitterandchunkSizeconfigurations are confirmed to match the document structure. - A mixed-format document package is uploaded. Parsing results are checked for included PDF text, Word tables, and scanned document recognition content, and the
customPdfParseconfiguration is confirmed to be active. - The current FastGPT version is confirmed to be v4.17.0, and configuration items are verified to match the parameter rules for this version.
The values provided are common starting points and should be evaluated against the samples relevant to the actual 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.