This document is written based on the functional logic of FastGPT v4.17.0.
What Data Looks Like for This Category
Daily documents in the pulp and paper industry include pulp preparation sheets, beating records, paper machine operation logs, online quality curves, laboratory reports, sheet break and product change records. Data sources cover wood pulp and waste paper batch systems, DCS/QCS control systems, paper machine online measurement equipment, laboratory testing systems, energy and water treatment systems. Data update frequencies include real-time, shift-based, and per-roll categories. Document fields include raw material batch, pulp index, paper machine speed, product grammage, sheet break duration, etc. Some fields correspond to specific measurement standards.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
High-frequency updated data from multiple sources requires parsing and chunking to support adaptive processing for small-batch real-time documents and large-batch per-roll documents. Diverse document types including tables, time-series text, and charts require parsing rules to support multi-format extraction and field association. Specific measurement attributes of fields require retaining complete field-value associations during chunking, avoiding splitting critical records across fields. Time-series documents such as sheet break and product change records require retaining contextual associations during chunking, preventing splitting of critical time-series nodes. Documents from multiple systems have formatting differences, requiring custom parsing rules to adapt to different document structures.
How to Configure Settings
| Config Item | Recommended Approach | Basis for This Approach |
|---|---|---|
chunkSize | 800–1200 characters | Pulp and paper documents contain multi-field tables and time-series records. This range can retain the complete context of a single record or single set of parameters, avoiding splitting critical data |
chunkSplitter | Split by paragraph + header | Documents include table-style documents with headers such as pulp preparation sheets and laboratory reports. Splitting by headers can retain table field associations and avoid chunking across headers |
customPdfParse | Enabled | Non-standard PDF format documents such as online quality curves and beating records. Enabling custom parsing can adapt to chart and text extraction for specific layouts |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Large paper machine operation logs or multi-batch pulp preparation sheets have large file sizes, requiring sufficient time to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 1024 MB | Continuous operation record files for a single roll of paper may exceed conventional thresholds, requiring adjustment to adapt to batch upload requirements |
chunkSettingMode | Custom mode | Different document types such as laboratory reports and sheet break records require differentiated chunking rules. Custom mode allows flexible parameter adjustment |
Three Common Mistakes
- Phenomenon: When uploading paper machine operation log files larger than 10 MB, they are automatically split into more than 1000 chunks, some chunks fail vectorization, and the interface displays the "chunking exception" prompt. Cause: The
UPLOAD_FILE_MAX_SIZEandchunkSizeparameters are not adjusted. Under default parameters, large files are split too much, and some chunks have overly short content or missing associated data, leading to vectorization failure. - Phenomenon: Some fields are empty when parsing pulp preparation sheets, and the exported parsing result lacks pulp addition amount information. Cause: The
customPdfParsecustom parsing is not enabled. The default parsing rule cannot identify raw material ratio fields with indented layout in pulp preparation sheets. - Phenomenon: Parsing tasks time out and terminate when uploading more than 3 laboratory reports in batch. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient to handle batch parsing of multiple files.
How to Confirm Proper Configuration
- Upload a single pulp preparation sheet document, check that the number of parsed chunks matches the number of document paragraphs and table groups, to confirm that the chunking rule is effective.
- Upload a paper machine operation log file larger than 10 MB, check whether the number of chunks meets expectations, to confirm that the upload and chunking parameters are adapted.
- Test parsing a PDF document containing online quality curves, confirm that chart data and corresponding text are fully extracted, to confirm that the custom PDF parsing is effective.
- Upload multiple documents of different types in batch, wait for parsing to complete and check the task status, to confirm that the timeout parameter is sufficient to support task operation.
Note: The values provided are common starting points and should be evaluated against relevant samples.