This document is written based on FastGPT v4.17.0.
What the data for this category looks like
The data for this category comes from animal quarantine information, supplier batches, production traceability records, temperature collection systems, metal detection equipment, and laboratory test results. Daily documents include quarantine certificates, slaughter and cutting records, ingredient marinating records, thermal processing records, cold chain temperature logs, and microbial test reports. Data is updated per batch and per shift, with continuous temperature control data generated in real time. Document fields include batch number, quarantine number, temperature value, test result, processing time, and other items. Some documents contain raw/cooked zone identifiers and biological risk-related annotations.
What constraints these characteristics impose on the document parsing and chunking link
The high-frequency updates per batch and per shift require parsing speed to adapt to batch processing needs. Real-time logs of continuous temperature control must avoid chunk truncation of temperature sequences to prevent breaks in the traceability chain. Compliance documents such as quarantine certificates and test reports must retain field association, and must not break the binding between batch and quarantine information, otherwise the accuracy of subsequent quality traceability will be affected. Raw/cooked zones and temperature control data units must be accurately identified to avoid parsing errors that lead to subsequent analysis deviations. Mixed multiple formats of batch documents (paper scans, spreadsheets, PDFs) require adaptation to different parsing rules, while ensuring consistent chunking logic for documents of the same batch to ensure that complete production and test information can be associated during recall.
How to set the configuration
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field block length of documents such as quarantine certificates and test reports, avoiding splitting of batch and associated information |
chunkSplitter | Semantic chunking | Retains the temporal relevance of temperature control logs and processing records, preventing truncation of continuous temperature sequences |
customPdfParse | Enabled | Adapts to mixed documents of scanned quarantine certificates and electronic PDFs, optimizing parsing effects for complex layouts |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing time of batch cold chain temperature logs and multiple test reports, avoiding parsing timeouts for frequently updated batch documents |
chunkSettingMode | Manual configuration | Adjust chunking rules for different document types (such as temperature control logs, test reports) to adapt to the category-specific document structure |
Three common mistakes
- Phenomenon: Long no response after calling the file parsing interface, or returning a timeout status code. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default duration is insufficient to handle the parsing of batch cold chain temperature logs and multiple test reports. - Phenomenon: Parsed document chunks lose the association between batch number and quarantine number. Cause: The default fixed character chunking is used, and
chunkSplitteris not configured as semantic chunking, causing associated fields across chunks to be split. - Phenomenon: Fields in scanned quarantine certificates are empty or identified incorrectly after parsing. Cause: The
customPdfParseconfiguration is not enabled, and the default parsing engine has insufficient adaptability to scanned documents with biological risk identifiers.
How to confirm the configuration is set correctly
- Upload a single cold chain temperature log document, check whether the parsed chunks retain the binding between continuous temperature sequences and batch number.
- Upload 3-5 mixed documents of the same batch (scanned quarantine certificate, electronic PDF test report), verify that all documents are parsed completely without timeout errors.
- Adjust the
chunkSizeparameter, compare the chunk length of the parsing results to confirm that they meet the preset character interval. - Call the parsing interface to batch upload 10 documents, check whether the total parsing completion time adapts to the business update frequency.
The values provided are common starting points and should be measured against the reader's own samples.