What Data for This Category Looks Like
Typical entities in this category include cotton spinning, chemical fiber spinning, woven, and knitting enterprises. Daily documents produced include cotton blending or material lists, process setup sheets, equipment operation records, yarn inspection sheets, grey fabric inspection sheets, defect records, and more. Data sources include raw fiber inspection reports, ERP systems, spinning and loom operation data, evenness tester test results, fabric inspection machine records, and order specification documents. Data updates follow production batches, shifts, and individual fabric pieces. Each document contains fields such as fiber indicators, process parameters, and test results. Some inspection documents include standardized defect codes and quantitative test values.
Constraints on Document Parsing and Chunking
The data characteristics of this category impose multiple constraints on document parsing and chunking. First, document types cover structured reports, semi-structured records, and unstructured free text. Format differences across sources are large, so parsing logic for multi-source data must be adapted. Second, data update frequency is high and granularity is fine. Individual documents correspond to single batches of raw materials, single shifts, or single fabric pieces. Chunking must avoid breaking the association between process parameters and test results. For example, do not split cotton blending ratios and corresponding yarn strength test results into different chunks. In addition, defect records often accompany continuous equipment operation data. Chunking must retain the context between defects and corresponding equipment operation periods to prevent loss of traceability basis for continuous defects. At the same time, some inspection documents contain quantitative indicators. Chunking must ensure that key values and their associated process descriptions are not split.
How to Configure
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category contain associated content of process parameters and test results. 800–1200 characters can retain the complete context of a single process-test group, avoiding splitting of key associated information |
chunkSplitter | Paragraph + custom delimiter | Daily documents contain fixed-format headers, parameter lines, and record lines. Custom delimiters can match structured markers such as [Order Number] and [Shift], improving chunking accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some batch-uploaded equipment operation record files have large file sizes. 120 seconds can cover the parsing time of conventional multi-page reports, avoiding timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 500 MB | A single batch of raw material document collections uploaded for this category may include multiple inspection reports and process sheets. 500 MB can meet conventional batch upload requirements |
customPdfParse | Enabled | Some process setup sheets are scanned documents or standard-format PDFs. Enabling custom parsing can accurately extract fiber indicators and process parameters from tables, avoiding text misalignment |
chunkSettingMode | Manual configuration | Chunking requirements vary significantly across document types in this category. Manual configuration allows adjusting parameters separately for cotton blending sheets, inspection sheets, and other document types, adapting to multi-scenario needs |
Three Common Misconfigurations
- Symptom: After uploading a Word-format grey fabric inspection document, question-and-answer testing cannot recall image content within the document. Cause: The
customPdfParseconfiguration is not enabled, and supporting image parsing logic is not configured, causing image-associated text to not be correctly extracted and included in chunked data. - Symptom: When batch-uploading a collection of single-shift equipment operation records, some files fail to parse and trigger timeout errors. Cause: The set value of
PARSE_FILE_TIMEOUT_SECONDSis lower than the actual parsing time of large-volume batch documents for this category, and the configuration does not adapt to the file scale of production scenarios. - Symptom: After chunking, cotton blending ratios and corresponding yarn strength test results are split into different chunks. Cause: The
chunkSizevalue is too small, or custom delimiters such as document order numbers and shift markers are not configured, causing key associated information to be broken.
How to Verify Proper Configuration
- Upload a single cotton blending or material list document, view the parsed chunked content, confirm that fiber indicators and material ratios are in the same chunk. Adjust the corresponding configuration until requirements are met.
- Upload a batch collection of equipment operation records and defect records, verify that all files have completed parsing and no timeout errors are triggered. Adjust timeout and upload size configurations until upload requirements are met.
- Launch a question-and-answer test for defect records, confirm that corresponding defect types and associated equipment operation period information can be recalled. Verify that chunking has not broken key contextual associations.
- Upload a scanned process setup sheet, confirm that the parsed text has no misalignment. Adjust the custom PDF parsing configuration until extracted process parameters are accurate.
The values given are common starting points and should be measured against the reader's own samples.