What this category of data looks like
Data for this category comes from special equipment safety supervision systems, inspection and testing institution systems, user account books, and operator certificate databases. Commonly processed documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, operator certificates, and others. The data update frequency is monthly. Most documents are fixed-format forms or structured reports; some maintenance records are scattered handwritten scanned documents. Fields include equipment numbers, inspection cycles, operator qualification numbers, rectification deadlines, and others. There is no unified multilingual or complex nested format.
What constraints do these characteristics impose on the document parsing and chunking link
Monthly batch-updated data sources require parsing tools to support batch file processing to avoid single-file timeout interruptions. The coexistence of fixed-format forms and scattered scanned documents requires the parsing module to balance structured field extraction and unstructured text capture. The need for accurate extraction of core fields such as equipment numbers and inspection cycles requires retaining field context associations during chunking to avoid breaking key information after splitting. The certificate number and validity period fields in the operator certificate database require chunk length to adapt to the compact layout of certificate information to prevent core information from being split. The unified parsing requirement for multi-source data requires configuring parsing rules compatible with different document formats.
How to Configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the layout length of core fields such as equipment numbers and inspection cycles in this category of documents, avoiding splitting of key information |
chunkSplitter | Split by paragraph + title | Matches the structure of this category of documents, which are mostly structured reports or forms, and retains field context associations |
customPdfParse | Enabled | Adapts to batch PDF documents such as use registration certificates and periodic inspection reports, improving parsing accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing duration of large-volume inspection reports uploaded monthly in batches, avoiding timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates complete single special equipment accident reports or batch-packaged inspection account files |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types (such as certificate-type and report-type) to adapt to multi-format data |
Three Common Misconfigurations
- Symptom: When calling the API interface for creating a file collection, expected PDF parsing results are not returned. Cause:
customPdfParseis not explicitly configured in the request parameters, and the default parsing rules cannot adapt to the fixed layout of special equipment PDF forms. - Symptom: PDF parsing tasks frequently report errors recently, with no clear exception logs. Cause: After the default PDF parsing module is updated, it cannot adapt to the low-resolution layout of scanned maintenance records in this category, triggering parsing verification failure.
- Symptom: After uploading multiple device archives, the parsed chunk content cannot match the corresponding device number information. Cause: No association rule between chunks and original files is configured, causing the correspondence between chunk results and uploaded files to be lost.
How to Verify Proper Configuration
- Upload a single special equipment use registration certificate PDF, check the parsed chunk content, and confirm that core fields such as equipment numbers and inspection cycles are not split.
- Call the API for creating a file collection, send a request with the
customPdfParseparameter, and verify that the returned result contains the text content parsed from the PDF. - Upload batch maintenance record files, check the correspondence between chunk results and uploaded file names, and confirm that each chunk belongs to the correct original file.
- Upload a single inspection report under 1000 MB, verify that the parsing task completes within 600 seconds with no timeout errors.
The values provided here are common starting points and should be evaluated against the reader's own samples.
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.