What data for this category looks like
The data for this category comes from manufacturing enterprise MES systems, testing equipment, laboratory systems, process parameter libraries, customer standards, and historical defect databases. Commonly processed documents include control plans, patrol inspection records, SPC reports, final product inspection reports, nonconforming product review forms, release forms, and monthly quality reports. Data is updated per production batch, per shift, or via continuous collection. Most documents include standardized fields such as inspection items, measured values, judgment results, and batch numbers. Some reports include statistical dimensions and units, such as defect rate and detection duration.
What constraints these characteristics impose on the document parsing and chunking step
This category has diverse document types, including structured reports and non-standardized review forms. Chunking must balance field integrity and logical coherence. Frequently updated batch-level data requires chunking to adapt to small-batch, high-frequency parsing requests. This prevents timeouts. Data from multiple sources has differences in field naming. Parsing must retain original field identifiers to prevent ambiguity during cross-document association. Documents with approval processes such as nonconforming product review forms must retain the hierarchical relationship between paragraphs. Chunking must not break the review logic. Reports exported from testing equipment often have fixed-format headers and statistical items. Chunking must avoid separating headers from their corresponding data rows.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of structured-field documents such as SPC reports and final product inspection reports. It preserves the integrity of single inspection items or review logic |
chunkSplitter | Split by paragraph + title | Matches the hierarchical structure of control plans and review forms. It avoids breaking the association between approval processes and inspection items |
customPdfParse | Enabled | Adapts to non-standard PDF formats exported from testing equipment. It retains original fields and typesetting |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets the upload requirements for batch patrol inspection records and monthly quality reports |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing time required for large monthly reports or multi-page SPC reports |
chunkSettingMode | Manual configuration | Flexibly adjusts chunking rules for different document types. It meets the differentiated needs of structured reports and non-standardized review forms |
Three common mistakes
- Calling the parsing tool returns empty results or the error
Failed to read file. The cause is failing to correctly configurecustomPdfParseto adapt to non-standard PDF formats exported from equipment, or failing to correctly set up port mapping. - A timeout error occurs when parsing large monthly quality reports. The cause is that
PARSE_FILE_TIMEOUT_SECONDSis set too low. It fails to cover the parsing time of long documents. - Inspection items and their corresponding measured values are split into different chunks after parsing. The cause is that
chunkSplitteris configured to split by fixed characters. It fails to match the document's title and paragraph structure.
How to confirm the configuration is correct
- For the FastGPT v4.17.0 interface, a standard final product inspection report is uploaded. The parsed text is checked to confirm it retains the complete association between inspection items, measured values, and judgment results.
- A single monthly quality report not exceeding 1000 MB is uploaded. The parsing task is confirmed to complete within 600 seconds with no timeout errors.
- The parsing API is called to upload a non-standard format testing equipment report. The parsing result is confirmed to retain the original headers and field identifiers.
chunkSizeis adjusted to 1000 characters, and a control plan document is uploaded. Chunks are checked to confirm they do not separate the complete description of a single control item.
The values provided here are common starting points, and should be measured against the reader's own samples.