What the Data for This Category Looks Like
Textile manufacturing core data is sourced from internal enterprise ERP systems, fabric testing lab reports, supply chain procurement ledgers, and supply chain finance credit ledgers from financial institutions. ERP systems include structured production parameters such as yarn count, weight per unit area, and width, with fixed fields and specific units (yarn count unit is S, weight per unit area unit is g/㎡, width unit is cm). Fabric testing reports are mostly scanned documents or encrypted PDFs. Marketing materials include bulk sample catalog PDFs, product parameter Excel sheets, and poster source files. Production parameters update with new batches, marketing materials adjust with new products or promotions, and financial credit data updates with supplier cooperation cycles.
Constraints Imposed on Workflow Orchestration
Fixed fields and units for structured production parameters require workflow integration of field validation nodes to ensure marketing content parameters match production data. The presence of bulk fabric sample catalogs requires workflows to support batch file processing. Scanned-format testing reports require integrating OCR nodes to extract text. The dynamic update nature of production batches and financial credit data requires workflows to use event-triggered modes, automatically starting material generation processes when new data is uploaded.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Fabric sample catalog PDFs for textile manufacturing often contain high-resolution images, with single files reaching hundreds of MB in size. This value covers conventional bulk upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | OCR parsing and structured extraction for multi-page fabric testing reports take significant time. 600 seconds covers processing durations for complex documents |
WORKFLOW_BATCH_MAX_COUNT | 50 copies | Marketing materials for textile manufacturing are often generated in bulk. Processing 50 copies per batch balances system load and processing efficiency |
PARSE_OCR_ENABLE | Enabled | Most fabric sample catalogs and testing reports use scanned format, so OCR nodes must be enabled to extract editable text content |
FIELD_VALIDATION_RULES | Configure yarn count range and weight unit validation | Marketing content for textile manufacturing must strictly match production parameters. Unit and numerical range validation rules must be added to extracted fields |
WORKFLOW_TRIGGER_MODE | Triggered by production batch updates | Marketing materials for textile manufacturing update with production batches. Trigger workflows when new batch data is uploaded |
CUSTOM_READ_FILE_URL | Configure internal enterprise ERP file interface address | Used to directly read production parameter documents from ERP, avoiding repetitive manual upload operations |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: A 404 error is returned when using
CUSTOM_READ_FILE_URLto read internal ERP files in a workflow. Cause: The IP address of the FastGPT deployment server was not added to the whitelist of the ERP file interface, resulting in inability to access internal resources across domains. - Phenomenon: After local deployment, when the file upload node is enabled in the workflow and fabric sample catalogs are uploaded, an upload failure prompt pops up. Cause: The
UPLOAD_FILE_MAX_SIZEparameter was not configured correctly, and the default value is smaller than the actual size of the sample catalog files, causing uploads to be blocked. - Phenomenon: An AI model can be selected in the global configuration of the workflow, but the model cannot be called in the nodes. Cause: The API key for the corresponding model was not configured, causing the workflow to fail to obtain the model's data source.
How to Confirm Successful Configuration
- Upload a test fabric testing report scanned document, check whether the workflow node successfully extracts core fields such as yarn count and weight per unit area.
- Trigger a batch upload test, confirm that the number of processed files matches the value set for
WORKFLOW_BATCH_MAX_COUNT. - Check the configuration of
CUSTOM_READ_FILE_URL, access the configured address via an interface tool, confirm that file content can be returned normally. - Add a field validation node to the workflow, input a numerical value that does not meet the unit requirements, confirm that the validation node intercepts the abnormal result.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.