Coal Chemical Industry Ledger Aggregation and Report Generation: Document Parsing and Chunking

Reference only; verify against the target FastGPT release and deployment documentation.

What the Data for This Category Looks Like

Coal chemical ledger and report data mainly comes from on-site production inspection terminals, DCS control system reports, material balance documents, environmental monitoring logs, and monthly summary forms. Data update rhythm follows production shifts. Single documents range from several pages to dozens of pages. Most documents use fixed headers paired with multi-row business data. Core fields include equipment number, operating duration, material input volume, emission concentration, and similar items. Corresponding units include hour, ton, milligram/cubic meter, and other specific identifiers.

Constraints Imposed on Document Parsing and Chunking by These Characteristics

The fixed header structure of coal chemical ledgers requires the parsing process to retain the integrity of individual business records. It prevents splitting the same equipment operating data across pages during chunking. Multi-page long documents require chunking parameters to adapt to the need for a single chunk to carry a complete business unit. This avoids context breaks that disrupt subsequent aggregation work. Specific unit identifiers attached to fields require the parsing process to retain original unit information. This prevents unit confusion errors during aggregation. Frequently updated production data requires parsing timeout settings to match actual submission rhythms. This prevents parsing process interruptions due to timeouts.

Configuration Settings

Three Common Misconfigurations

• Phenomenon: PDF parsing returns empty text or triggers a "parsing failed" error. Cause: The customPdfParse parameter is not enabled. The default parsing engine cannot adapt to embedded form fields in coal chemical ledger PDFs.
• Phenomenon: Chunk results show spliced records across multiple equipment numbers. Cause: chunkSplitter is configured to split by character, without matching the fixed header structure of ledgers. This causes individual business records to be split across different chunks.
• Phenomenon: Upload errors for large monthly ledger files are triggered. Cause: The UPLOAD_FILE_MAX_SIZE parameter is not adjusted. The default value is insufficient to carry the file size of multi-page summary ledgers.

How to Verify Correct Configuration

• Upload a single typical coal chemical ledger PDF. Check if the parsed text retains original header and unit information to verify that the customPdfParse configuration takes effect.
• Extract a single complete equipment operating ledger record. Adjust the chunkSize parameter, then check if the chunking result does not split this record to verify that the chunking rule adapts to the business structure.
• Upload a ledger file larger than the default size. Confirm that the upload and parsing process does not trigger timeouts or failures to verify that the PARSE_FILE_TIMEOUT_SECONDS and UPLOAD_FILE_MAX_SIZE configurations are properly set.
• Call the API for creating a knowledge base file collection. Specify parsing configuration items in the request parameters. Confirm that the parsed results returned by the API meet expectations to verify that the API parameter configuration takes effect.

The configuration values listed above are common starting points. Adjust them based on your own specific samples and use cases.

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.