What the Data for This Category Looks Like
The core entities for this category are enterprise metrology rooms, quality laboratories, and CNAS system laboratories. Daily generated documents include measuring instrument ledgers, calibration plans, calibration certificates, interim check records, original test records, reference material ledgers, and deviation handling orders.
Data sources cover internal enterprise metrology management systems, certificates issued by external calibration institutions, standard instrument data, LIMS systems, and environmental monitoring records. Updates are triggered by calibration cycles, single test results, or abnormal events, with no fixed batch update cycle.
Most documents use structured formats, containing professional fields such as traceability numbers, measured values, uncertainty, and calibration dates, along with metrology-specific units like mm, mg, and ℃.
What Constraints These Characteristics Impose on Document Parsing and Chunking
Multi-source heterogeneous data, non-fixed update rhythms, and professional structured fields in this category impose multiple constraints on document parsing and chunking.
Multi-source data includes PDF certificates, structured tables exported from systems, and docx records with embedded images. This requires parsing tools that support multiple format adaptations and image text extraction.
Non-fixed update rhythms mean chunk parameters must be adjusted flexibly to fit content ranging from short measuring instrument ledgers (a few lines) to bulk calibration certificates spanning dozens of pages.
Professional fields such as traceability chain information and measurement uncertainty require complete context retention, to avoid breaking the traceability and credibility of metrology data during chunking.
Configuration Settings
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapt to long texts with professional fields such as calibration certificates and test records, avoid splitting key information like traceability numbers and uncertainty |
chunkSplitter | markdown | Retain the original table and title hierarchy of documents, adapt to the structured format of measuring instrument ledgers |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Address the long parsing time of complexly formatted PDFs from external calibration certificates |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Support bulk upload of multiple calibration certificate files from the same cycle |
customPdfParse | Enabled | Extract editable text from PDF-format calibration certificates, avoid recognition errors from image-to-text conversion |
chunkSettingMode | Manual configuration | Adjust chunk parameters for different document types (ledgers, certificates, records) to ensure complete context for professional fields |
Three Common Mistakes
- Phenomenon: After uploading a docx file with embedded calibration images, the parsed result has empty text associated with the images, and the log returns the
Invalid image fileerror. Cause: ThecustomPdfParseconfiguration is not enabled, or the embedded image text extraction function is not enabled, preventing correct parsing of image content. - Phenomenon: When bulk uploading calibration certificates from the same cycle, the log continuously reports
slow operation xxxxms, and the parsing task times out and terminates. Cause: ThePARSE_FILE_TIMEOUT_SECONDSsetting is lower than the actual time required for bulk parsing multiple PDF certificates, failing to cover the time needed for long-text parsing. - Phenomenon: After parsing a Markdown-format measuring instrument ledger, table column content is truncated, and the full traceability number and corresponding calibration value cannot be displayed. Cause: The
chunkSizesetting is too small, breaking the complete structure of table rows during chunking and splitting professional fields across different chunks.
How to Verify Proper Configuration
- Upload a standard-format calibration certificate PDF, and check that the parsed result has complete title hierarchy, table content, traceability number and other key information, with no truncation or missing content.
- Upload bulk docx files of measuring instrument ledgers, check the execution status of parsing tasks, and confirm there are no timeout errors or abnormal logs.
- After enabling the
customPdfParseconfiguration, upload a test record document with embedded images, and confirm that text comments attached to the images are correctly extracted to the parsed result. - Adjust the
chunkSizeparameter, compare chunking results across different values, and ensure that professional fields such as measurement uncertainty are not split across different chunks.
The values listed are common starting points and should be measured against the reader's own samples.