What Data Looks Like for This Category
The typical entities in this category are flow, pressure, temperature, and analytical instrument manufacturers, as well as metrology laboratories. Daily documents include assembly and commissioning sheets, calibration procedures, original calibration records, error curves, metrology certificates, and software version logs. Data sources cover design documents, standard instrument and environmental monitoring data, calibration software, laboratory information systems, and customer range requirements. The update frequency is once per device per calibration. Document fields include traceability numbers, calibration environmental parameters, error values, range limits, and some documents have digital signatures or structured tables.
Constraints Imposed on Document Parsing and Chunking
Document types are diverse with significant structural differences, including PDF metrology certificates with digital signatures, error curves with complex tables, and structured calibration procedures. Parsing must retain table structures and signature metadata to avoid loss of critical information. Single document length varies widely, from short software version logs to dozens of pages of full-process calibration records. Chunking rules must adapt to documents of different lengths. Fields contain a large number of key parameters with units. Chunking must retain contextual associations between fields to avoid breaking the traceability chain and environmental conditions after splitting. Data sources include non-standard format files exported from multiple systems, so parsing must support multiple import formats.
How to Set Configurations
This configuration is based on FastGPT v4.17.0, adapted to the document characteristics of this category. The following are specific configuration items and their rationales:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of critical information in single calibration records, prevents loss of associated fields such as traceability chains and environmental conditions during splitting |
chunkSplitter | Split by paragraph + table boundaries | Matches the document structure of calibration procedures and error curves, retains associations between tables and context |
customPdfParse | Enable digital signature metadata extraction | Processes metrology certificates with digital signatures, avoids missing content during recognition |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Adapts to parsing time for dozens of pages of full-process calibration records, prevents timeout errors |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports batch document upload requirements for multiple calibrations per single device |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types (such as error curves, metrology certificates) to adapt to field association requirements |
Three Common Misconfigurations
- After uploading a PDF metrology certificate with a digital signature, the parsing result has no signature-related metadata or incomplete content recognition. Cause: The digital signature extraction configuration for
customPdfParseis not enabled, and the default parsing rule skips content in signature areas. - An error occurs when reading a file using the Doc2x tool, returning a truncated unsupported format prompt. Cause:
UPLOAD_FILE_MAX_SIZEorPARSE_FILE_TIMEOUT_SECONDSare not configured correctly, leading to forced interruption of large files or long-duration parsing tasks. - After the API returns a knowledge base reading link, the page reports an error and fails to load content. Cause: Document unique identifier association information is not retained during parsing, and core identification fields of the document are split during chunking.
How to Confirm Configurations Are Set Correctly
- Upload a single metrology certificate with a digital signature, check whether the parsing result includes metadata fields such as signature time and issuing authority.
- Upload a single full-process calibration record with more than 200 pages, confirm that the parsing task does not have a timeout error.
- Upload calibration documents in different formats (such as error curves exported from Excel, PDF calibration procedures), check whether the chunking result retains associations between tables and context.
- Call the API to upload a test file, verify that the returned reading link can normally access the parsed content.
The values provided here are common starting points and should be measured against the reader's own samples.