What this category of data looks like
Daily documents for print and packaging processing include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article signing samples, barcode inspection records, die-cutting and lamination records. Data sources include customer manuscripts, color management systems, printing press operation data, ink and substrate batch ledgers, spectrometer test results, and barcode detector data. Data update frequency follows per order, per batch, and per plate change. Document fields include color code, batch number, die-cutting size, barcode format, lamination parameters, and more. Corresponding units include millimeters, gram weight, batch number, and others.
What constraints these characteristics impose on the "document parsing and chunking" link
Documents in this category are updated frequently and have diverse types. The chunking logic must adapt to dynamically changing order data to avoid chunk misalignment caused by content updates. Multiple types of documents coexist. Parsing integrity must be maintained for text paragraphs, tabular data, and image-text associated content. Fields include specific industry units and identifiers. Chunking must retain the association between fields to prevent separation of parameters and their descriptions. Documents generated from a single plate change may contain a large amount of batch data. Excessive chunk count for a single file must be avoided to prevent indexing exceptions.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents contain process parameters and image-text descriptions. Setting it too long will lose context association, and setting it too short will break the binding between fields and their descriptions |
chunkSplitter | Split by title + paragraph | Documents such as process sheets and imposition sheets have clear title hierarchies. Splitting by title preserves the integrity of each process module |
customPdfParse | Enabled | Documents in this category contain a large number of tables and mixed image-text content. Custom parsing preserves the association between table fields and image descriptions |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Large pre-press files contain multi-batch data and complex typesetting. The default timeout duration is insufficient for complete parsing |
chunkSettingMode | Manual mode | Different document types (such as color matching records and die-cutting records) require differentiated chunking parameters. Manual mode allows flexible adjustments |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Pre-press files in this category may contain multi-page image-text content. This setting adapts to large file upload requirements |
Three common mistakes
- Symptom: After uploading a large imposition sheet, the total number of chunks exceeds 3000, and an indexing exception prompt appears on the interface. Cause: The
chunkSizeparameter was not adjusted. The default chunking rules cause the per-file chunk count to exceed the limit. - Symptom: After upgrading FastGPT v4.17.0, existing CSV-format ink color matching records cannot be chunked normally. Cause: The new version's
customPdfParseparameter verification logic was not adapted, or the CSV parsing rules were not updated synchronously. - Symptom: Parsing a first article signing sample file times out and fails. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient for parsing documents with images.
How to confirm the configuration is correct
- Upload a single typical document (such as a printing process sheet) and check the chunk preview interface. Confirm that each chunk contains complete process steps and associated parameters.
- Count the total number of chunks for a single file. Confirm that it does not exceed the threshold required by the business, or meets the platform's conventional indexing requirements.
- Upload an imposition sheet containing tables and images. Verify that table fields are not broken by splitting, and that image description text is correctly associated with corresponding parameters.
- Upload batch documents with multiple batches. Verify that the parsing duration does not exceed the value of the configured
PARSE_FILE_TIMEOUT_SECONDSparameter.
The values provided are common starting points and should be measured against the reader's own samples.