What the Data for This Category Looks Like
Data for apparel and home textile intelligent due diligence reports comes primarily from brand supply chain ledgers, third-party fabric testing institution reports, e-commerce platform SKU detail pages, and industry association category compliance documents. Update cycles vary significantly. Core parameters such as fabric composition and compliance levels update less frequently, usually quarterly or per production batch. Sales-related data including SKU inventory, active styles, and user reviews updates more often, with no fixed schedule. Document structures typically include four sections: traceability information area, fabric parameter area, compliance testing area, and supply chain association area. Fields include fabric weight (unit g/㎡), yarn count (unit S), washing label number, compliance standard number (such as GB 18401), and production batch number. Some documents include text extracted from multi-page test scan attachments. Total character count per single document can reach several thousand.
Constraints for HTTP Interfaces and External Systems
Apparel and home textile due diligence data includes multi-source heterogeneous information, specific unit fields, and long text extracted from scan documents. External interfaces support three core functions: multi-source data aggregation, unit validation, and paginated pulling. Multi-source data originates from testing institutions, e-commerce platforms, and other sources. Configured multi-source merging rules ensure the authority of core parameters. Fields with specific units such as fabric weight and yarn count trigger unit validation logic. This prevents invalid units from appearing in final reports. Long text extracted from scan documents increases data return volume for single interface responses. Supported paginated pulling parameter configurations mitigate this issue. Some external supply chain platforms require temporary tokens before main interface calls. Pre-login interface call links address this requirement.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
external_api_timeout | 120 seconds | Apparel and home textile due diligence data often includes multiple test reports and long text extracted content. 120 seconds covers most single-interface pull latency scenarios |
pre_login_required | Enabled | Starting from version 4.9.9, some external supply chain platforms require calling the pre-login interface to obtain a temporary token. Missing this configuration returns a 401 Unauthorized error |
enable_cite_id_generate | Enabled | Data sources for apparel and home textile due diligence reports are scattered. Enabling this setting generates a unique reference ID for each data source to facilitate subsequent traceability |
multi_source_merge_strategy | Merge by test report priority | Test institution data has higher authority than e-commerce platform data. Following this rule ensures the accuracy of core parameters |
batch_pull_size | 20 items | Pulling 20 SKU data items per batch balances interface load and pull efficiency. This avoids excessive data volume in a single request |
aiproxy_compatible_mode | Enable based on deployment scenario | When connecting to a third-party inference framework, enable this configuration to adapt to proxy forwarding rules |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- A main due diligence interface call returns a 401 Unauthorized error. The cause is that the
pre_login_requiredconfiguration is not enabled, and the pre-login interface is not called to obtain a temporary token as required for version 4.9.9. - A conversation request interface returns results without the
citereference ID field. The cause is that theenable_cite_id_generateconfiguration is not enabled, and the data source reference log generation function is not activated. - Messages cannot be received when connecting to WeChat Work. The cause is that the external system callback address whitelist is not configured, and the WeChat Work server IP is not added to the allowed list.
How to Confirm Successful Configuration
- Call the pre-login interface, check if the return result includes a temporary token field, and confirm that the pre-login link configuration is active.
- Initiate a complete due diligence report pull request, check if the return result includes the
citereference ID field, and confirm that the reference generation configuration is correct. - Send a test message after connecting to WeChat Work, check if the system can receive and respond normally, and confirm that the callback address and whitelist configuration are correct.
- View the interface call log, check if the timeout count and retry count match the configured settings, and confirm that the external interface parameter configuration is correct.
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.