What this category of data looks like
This category covers data from dyeing and finishing factories, and the dyeing, setting, laboratory, and quality departments of fabric enterprises. Daily documents include dyeing formulas, chemical dosing records, dye vat curves, proofing confirmations, color difference reports, setting process sheets, and sewage ledgers. Data sources cover customer color samples, formula libraries, dye chemical batches, dye vat control equipment, colorimeters, setting machines, and environmental monitoring devices. Update frequency is per vat, per batch, or per shift. Document fields include parameters with clear units: dye model, dosage (kg/vat), heating rate (℃/min), discharge concentration (mg/L), and others. Some documents are time-stamped dye vat curve data.
Constraints imposed on document parsing and chunking
The multi-type document format and high-frequency update characteristics of this category create multiple constraints for the parsing and chunking process. Time-series dye vat curves and multi-column ledger documents cannot be split using fixed-length hard splitting. Document structure and field associations must be retained, otherwise the binding relationship between parameters and vat numbers, batches will be disrupted. High-frequency updates of single-vat or single-batch documents require efficient parsing processes, to avoid excessive parsing delays that impact business calls. Scenarios with multiple document types need parsing logic adapted to different formats, to ensure complete extraction of content from tables, charts, and text reports.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapt to text blocks with units such as dyeing formulas and process sheets, avoid splitting complete single parameter combinations |
chunkSplitter | Split by document structure | Adapt to time-series data of dye vat curves and table documents, preserve the binding relationship between metadata such as vat numbers, batches and text |
customPdfParse | Enabled | Accurately extract charts and embedded metadata from dye vat curves and color difference reports, avoid loss of key information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Address parsing requirements for long time-series dye vat curve documents per single vat, avoid parsing failures due to timeout |
UPLOAD_FILE_MAX_SIZE | 500 MB | Support batch upload of multi-vat dye vat curve ledgers and formula library files |
chunkSettingMode | Bound metadata mode | Ensure that metadata such as vat numbers and dye chemical batches are bound to corresponding text blocks, to facilitate subsequent retrieval and association |
Three common configuration mistakes
- Phenomenon: After uploading Excel-format chemical dosing records, table fields display as empty. Cause: The chunking configuration set to split by document structure is not enabled, and the default parsing does not adapt to the multi-column field structure of dyeing and finishing ledgers.
- Phenomenon: Timeout errors occur when parsing a single long time-series dye vat curve PDF. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting value is lower than the actual required parsing duration, and sufficient processing time is not reserved. - Phenomenon: Retrieved text blocks do not associate with metadata such as vat numbers and dye chemical batches. Cause: The chunking mode bound to document structure is not enabled, and the association between metadata and text blocks is split and lost.
How to confirm configurations are correctly set
- Upload a single-vat dye vat curve PDF, check if the parsed text blocks include complete fields such as vat number, heating parameters, and timestamp.
- Upload an Excel-format chemical dosing record, confirm that the parsed table columns fully correspond to the original document's dye model, dosage, and batch information.
- Adjust
chunkSizeto 800 characters, upload a dyeing formula document, verify that chunks do not split complete single parameter groups of formulas. - Upload a ledger file under 500 MB, confirm that the parsing task completes within 300 seconds without errors on FastGPT v4.17.0.
The values given are common starting points and should be measured against the reader's own samples.