What the data for this category looks like
Apparel and home textile due diligence data primarily originates from brand supply chain ledgers, third-party fabric test reports, e-commerce platform SKU archives, and customs declaration documents. Data update rhythms adjust with brand season changes, compliance checks, or inventory shifts, with no fixed cycle. Document structures are mostly multi-page mixed formats, including fabric composition details, production batch information, quality inspection indicator tables, compliance certification numbers and other fields. Core fields include yarn count density (unit: threads per inch), gram weight (unit: g/㎡), washing dimensional change rate and other professional textile parameters. Some documents include national standard compliance numbers.
What constraints do these characteristics impose on workflow orchestration
Professional textile fields for apparel and home textiles require precise extraction, so workflows must support custom extraction field configuration. Multi-source data inputs require workflows to integrate multi-node stitching capabilities to align and merge data from different channels. Non-fixed update cycles require workflows to support flexible triggering modes, supporting both scheduled synchronization and manual trigger scenarios. The presence of long-text test reports requires split nodes to adapt to the semantic integrity of professional content, avoiding damage to the correlation of test data.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
workflow_trigger_mode | "Scheduled trigger + Manual trigger" | Adapts to the non-fixed update cycle of apparel and home textile data, supports daily scheduled synchronization of supply chain data, and allows manual triggering of special due diligence during seasonal changes or compliance checks |
document_split_length | 800–1200 characters | Matches the average length of single-segment professional content in fabric test reports, avoiding damage to the semantic integrity of test data after splitting |
extract_custom_fields | Yarn count density, gram weight, washing dimensional change rate, compliance standard number | Covers the core professional fields of apparel and home textile due diligence reports, preventing generic extraction nodes from missing key parameters |
api_request_timeout | 600 seconds | Adapts to scenarios where multi-source data merging requires waiting for responses from customs and e-commerce platform APIs, preventing workflow interruptions due to timeouts |
form_input_variable_pass | Enabled | Supports passing variables such as knowledge base ID and SKU code to directly call due diligence data from corresponding data sources |
The parameter values provided on this page are common 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 misconfigurations
- Issue: Custom extraction field configurations are lost after importing a v4.6.7 workflow into v4.8.10. Cause: The custom field configuration format differs between the new and old versions, requiring manual mapping of legacy fields to the new template.
- Issue:
user_selectandform_inputcomponents do not display interactive prompts when accessing a published workflow via API. Cause: The API interactive return switch is not enabled in the workflow release configuration, preventing the frontend from loading interactive prompt content. - Issue: A parameter error is triggered when passing a knowledge base ID or SKU code variable, or the form input component cannot receive passed variables. Cause: No format validation is performed on passed variables, and the variable passing configuration for form inputs is not enabled, causing variables to fail recognition by workflow nodes.
How to verify correct configuration
- Access the workflow editing page, review the
workflow_trigger_modeconfiguration item, and confirm that both scheduled trigger and manual trigger options are enabled. - Upload a sample apparel and home textile quality inspection report, run the workflow, and verify that the extraction results include the preset professional fields.
- Call the workflow API, pass test knowledge base ID and SKU code variables, and confirm that interactive prompts in the API response load normally.
- Simulate a multi-source data merging scenario, and verify that workflow nodes can correctly stitch due diligence data from different data sources.
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.