Workflow Orchestration for Cosmetics Intelligent Due Diligence Reports

Data for cosmetics intelligent due diligence reports comes primarily from the official filing database of the National Medical Products

What the data for this category looks like

Data for cosmetics intelligent due diligence reports comes primarily from the official filing database of the National Medical Products Administration, publicly available brand product test reports, and ingredient disclosure documents. The system updates data when new filed products are submitted, or when formulations or registration information for already filed products change. Structured filing documents include product name, filing number, manufacturer information, ingredient list, filing date, and product category. Unstructured files include product test report PDFs and ingredient description documents. Ingredient lists only list common ingredient names, with no fixed unit labels. Field types include string, date, list, and other standard data types.

What constraints these characteristics impose on workflow orchestration

These characteristics create clear constraints for workflow orchestration. Structured data from the official filing database requires API pulls. Workflows must configure API call nodes to handle interface authentication and pagination logic. Unstructured test report PDFs require parsing, which needs configuration for long text segmentation. Ingredient lists have no unified format or units, so workflows must add a standardization step to unify common ingredient names. Filing information updates on no fixed schedule, so workflows must set flexible trigger rules to avoid using expired data. Product categories distinguish between regular and special cosmetics, so workflows must configure branch judgment nodes to call different due diligence rules based on category.

How to set configurations

Configuration ItemRecommended ValueRationale
Segment Length800–1200 charactersCosmetics test report text is lengthy, this range adapts to large model context window limits
API Request Timeout300 secondsOfficial filing database interface response times fluctuate, this allows sufficient time for data pulling
Workflow Trigger ModeScheduled trigger + manual triggerMeets requirements for on-demand updates of filing data and real-time synchronization
Variable Mapping RulePrecise matching by field namePrevents mapping errors for fields with no unified format such as ingredient lists
Branch Condition Matching ModeFull matchAccurately distinguishes due diligence branches for regular and special cosmetics

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • After a workflow runs, the AI chat node cannot retrieve the ingredient list content output by the code run node, and the interface shows the variable as empty. No output variable mapping rule is configured for the code node, causing variables to not be correctly written to the workflow context.
  • When a workflow pulls filing data, a 404 status code is returned, and the process stops directly. No automatic retry mechanism is configured for API requests, so requests are not automatically resumed when the official filing database interface is temporarily unavailable.
  • After a workflow parses a test report, the number of valid content items returned is far fewer than the actual document. The segment length is set incorrectly, causing long text to be over-truncated and some test data to be lost.

How to confirm proper configuration

  • Manually trigger the workflow once, check whether the pulled filing data fields match the preset fields, and confirm that the variable mapping rule is active.
  • View workflow run logs to confirm there are no continuous timeouts for API requests, and verify that the timeout configuration adapts to interface response fluctuations.
  • Compare the parsed test report text with the original document, confirm that text segments are not over-truncated, and that they meet subsequent large model processing requirements.
  • Trigger the product category branch node, verify that the process branches for regular and special cosmetics jump according to preset rules.

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.