Code and Change Review Assistance for User Acceptance Testing Support: Workflow Orchestration

This category of data originates from four sources: requirement specification documents, test environment configurations, customer business samples

What the data for this category looks like

This category of data originates from four sources: requirement specification documents, test environment configurations, customer business samples, and defect systems. The update frequency is once per project phase or per version. The core daily deliverables include UAT test cases, acceptance issue tickets, acceptance reports, and sign-off confirmation forms. UAT test cases include fields for scenario number, test steps, expected results, and actual results. Acceptance issue tickets include fields linked to defect ID, reproduction steps, and severity level. Field association relationships exist between all documents, and data adjustments require synchronized updates to associated document content.

Multi-source, scattered data sources require the workflow to support cross-system pull nodes, ensuring synchronized updates of data from requirements, test environments, and defect systems. The per-phase/version update frequency requires the workflow to support periodic trigger logic, avoiding ineffective real-time execution. Field association relationships between documents require the workflow to configure cross-document field mapping rules, ensuring consistent data flow. The most time-consuming links of test case preparation and problem reproduction classification require the workflow to integrate auxiliary nodes for automatic verification and data classification, reducing manual operation costs.

Configuration Settings

These configuration items apply to FastGPT v4.17.0:

Configuration ItemRecommended ValueRationale
Trigger TimingTrigger at project phase nodes, update once per versionMatches the update frequency of UAT data per phase/version, avoids ineffective repeated execution
variablesBind core field mappings for UAT test cases and acceptance issue ticketsEnables automatic cross-document field association, reduces manual entry and errors
nodeIdUnique identifier linked to defect system and test environment nodesUnlocks cross-source data flow paths, ensures complete data links across all links
Timeout Threshold600 secondsAdapts to the average time required for cross-source data pulling and analysis, prevents mid-workflow interruptions
Batch Processing LimitTop 20 entriesControls the volume of data passed to the workflow in a single run, matches the AI context carrying capacity
Field Validation RulesValidate required fields per UAT test case standardsIntercepts non-compliant data early, reduces rework costs in subsequent links

Three Common Misconfigurations

  • After workflow execution, variables does not automatically synchronize the latest UAT test case field data. The cause is that the automatic refresh trigger rule for variables is not configured, and the bound field mapping is not linked to the latest data source.
  • The workflow triggers a context limit prompt when processing large node data structures. The cause is that a reasonable batch processing limit is not set, and the single-pass data volume exceeds the AI's carrying capacity.
  • Node data is abnormal when the workflow proceeds to the acceptance conclusion link. The cause is that the association rule for nodeId is not correctly configured, leading to a broken cross-system data link.

How to Verify Successful Configuration

  • Trigger a workflow run based on project phase, check whether variables has synchronized the latest UAT test case field data.
  • Import large node data for a single module, verify that the workflow does not trigger a context limit prompt.
  • View node flow logs, confirm that data from the defect system and test environment nodes linked by nodeId is properly passed in.
  • Manually modify a field of an acceptance issue ticket, trigger the workflow, and check whether the linked UAT test case data is automatically updated.

The values provided are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.