Quality Problem Traceability and Defect Analysis for Printing and Packaging Processing: Document Parsing and Chunking

The main entities in this category are color printing, label, carton, flexible packaging, and pharmaceutical packaging processing enterprises. Daily

What the data for this category looks like

The main entities in this category are color printing, label, carton, flexible packaging, and pharmaceutical packaging processing enterprises. Daily generated documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first-piece approval samples, barcode detection records, and die-cutting and lamination records. Data sources include customer manuscripts, color management systems, printing press operation data, ink and substrate batch records, spectrometer test results, and barcode detector data. Data updates trigger per order, per batch, or each time a plate is changed. Documents contain structured and semi-structured fields such as batch numbers, color parameters, die-cutting dimensions, and barcode rules.

What constraints do these characteristics impose on the document parsing and chunking workflow?

The data characteristics of this category impose multiple constraints on document parsing and chunking. Mixed-format documents (PDF process sheets, Excel imposition sheets, PPT first-piece approval samples) require the parsing module to adapt structured extraction logic for different file types. High update frequency requires the parsing process to support batch rapid triggering to avoid timeouts that disrupt production schedules. Structured fields such as batch numbers, color parameters, and die-cutting dimensions must be chunked by business association to retain contextual connections and prevent loss of critical information across chunks. Exclusive units attached to different fields (such as mm, color difference value ΔE, ink ratio percentage) must be accurately identified to avoid disorganized parsed fields. The volume of documents generated from a single plate change is concentrated, so the total number and size of files parsed in a single batch must be limited to prevent service overload.

How to Set Configurations

The configurations on this page are based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale for This Setting
chunkSize800–1200 charactersAdapt to the field length of documents such as printing process sheets and imposition sheets, retain complete context of batches and process parameters
chunkSplitterChunk by header/footer + table boundariesMatch the structured layout of imposition sheets and process sheets in documents of this category, avoid splitting critical data across tables
customPdfParseEnabledOptimize extraction accuracy for tables and image text for complexly formatted PDF documents such as pre-press files and first-piece approval samples
UPLOAD_FILE_MAX_SIZE500 MBAdapt to large imposition files and multi-page process sheets generated from batch orders, avoid upload truncation
PARSE_FILE_TIMEOUT_SECONDS600 secondsAddress parsing time for complex multi-page documents, prevent parsing failure due to timeout
chunkSettingModeManual configurationAdjust chunking rules for different document types (Excel imposition sheets, PPT approval samples) to meet business field association requirements

Three Common Misconfigurations

  • Symptom: An error "the argument ‘windows-1252’ is invalid encoding" appears when uploading PPT or PDF documents. Cause: customPdfParse is not enabled to adapt to non-UTF-8 encoded documents from the printing industry, resulting in failure to recognize the document encoding format during parsing.
  • Symptom: After uploading an Excel imposition sheet, multi-row table fields are split into multiple chunks, making it impossible to associate batch numbers with die-cutting parameters. Cause: chunkSplitter is not specified to chunk by table boundaries, resulting in incorrect splitting of structured data.
  • Symptom: Parsing tasks time out and fail when uploading multiple order documents in batch. Cause: PARSE_FILE_TIMEOUT_SECONDS is not adjusted to a duration suitable for batch processing, or UPLOAD_FILE_MAX_SIZE is set too small, leading to large file truncation.

How to Confirm Configurations Are Correct

  • Upload a typical printing process sheet PDF, check if the parsed chunks retain complete ink ratio and batch number fields, with no cross-chunk splitting.
  • Upload an Excel imposition sheet, verify that the parsed table data is complete, with no missing or misaligned fields.
  • After configuring UPLOAD_FILE_MAX_SIZE, upload a document of the maximum expected single-file size, confirm that the upload and parsing process has no truncation or errors.
  • After adjusting PARSE_FILE_TIMEOUT_SECONDS, run a batch parsing task, confirm that there are no timeout terminations.

The values provided are common starting points and should be measured against the reader's own samples.