What data for this category looks like
Data for this category comes from metrology management systems, external calibration institution certificates, LIMS systems, and environmental monitoring equipment. Daily documents include gauge ledgers, calibration plans, calibration certificates, interim verification records, original test records, reference material ledgers, and deviation handling documents. Data updates are triggered by calibration cycles, single test results, or abnormal events. Most document fields include instrument numbers, calibration values, measurement uncertainties, validity periods, and traceable standard instrument information, with professional measurement units such as length, mass, and temperature attached.
What constraints do these characteristics impose on the document parsing and chunking link
Documents in this category often contain structured tables and professional measurement fields. Chunking must avoid splitting related information. For example, measurement values, uncertainties, and traceability information in a calibration certificate must be kept intact. Data updates do not follow a fixed batch schedule. A single processing job may include multiple certificates and ledgers in different formats, so the system must adapt to non-standard document structures. Professional measurement units are tightly bound to their fields. After chunking, the contextual connection between fields and units must be retained to avoid field misalignment during subsequent ledger summary. Large-volume batch ledger files increase parsing time, so reasonable chunking and timeout configurations must be supported.
How to set the configurations
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of structured tables and professional fields in documents of this category, avoiding splitting related measurement data and traceability information |
chunkSplitter | Split by paragraph + table boundaries | Preserves the complete structure of calibration certificates and ledger tables, preventing tables from being split into multiple independent chunks |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to the parsing time of batch calibration certificates and large-volume ledger files, avoiding parsing timeouts caused by oversized or complexly structured files |
UPLOAD_FILE_MAX_SIZE | 100 MB | Meets the upload requirements for common batch ledgers and packaged files of multiple certificates in this category |
customPdfParse | Enable structured parsing | Accurately extracts table fields and measurement units from calibration certificates, improving the accuracy of subsequent ledger summary |
Three common mistakes
- Chunked content after parsing has empty fields or missing measurement units. This occurs because structured parsing via
customPdfParsewas not enabled, and only plain text was extracted, causing professional fields and units to be stripped. - Parsing timeouts occur for large-volume batch ledger files. This happens because
PARSE_FILE_TIMEOUT_SECONDSwas not adjusted to a reasonable range, and the default short timeout setting cannot complete parsing of multiple calibration certificates. - Chunk length unit configuration is incorrect. This stems from confusing character and counting rules, and failing to set
chunkSizebased on the actual character length of the document's layout, leading to incorrect splitting of related calibration data.
How to confirm the configurations are set correctly
- Upload a single calibration certificate PDF, view the parsed chunk list, and confirm that tables and associated measurement values, uncertainties, and other information have not been split.
- Upload a batch ledger compressed file under 100 MB, and check that the parsing progress completes within the time set by
PARSE_FILE_TIMEOUT_SECONDS. - Test retrieval of chunked documents, and confirm that measurement values, traceability information, and corresponding instrument numbers appear in the same search result.
- Upload an Excel format gauge ledger file, and confirm that core business fields such as instrument numbers and calibration dates are retained after parsing.
The values provided are common starting points and should be measured against the reader's own samples.