Upgrade test functionality to maximize usefulness for AI agents#15
Upgrade test functionality to maximize usefulness for AI agents#15
Conversation
…ponses Co-authored-by: a-25 <6087455+a-25@users.noreply.github.com>
…gration Co-authored-by: a-25 <6087455+a-25@users.noreply.github.com>
Conflicts: src/__tests__/testRunner.test.ts src/core/formatTestResultResponse.ts
There was a problem hiding this comment.
Pull Request Overview
This PR transforms the iOS MCP Code Quality Server into a powerful AI-optimized tool that enables agents like Copilot to iteratively fix failing iOS tests with minimal human intervention. The implementation provides structured metadata, enhanced failure analysis, and source code context integration for better AI decision-making.
Key changes include:
- AI-optimized structured response format with machine-readable metadata
- Enhanced test failure categorization with severity levels and actionable suggestions
- Source code context extraction from Swift test files with line-level highlighting
Reviewed Changes
Copilot reviewed 10 out of 10 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| src/core/testRunner.ts | Adds test failure categorization, severity assessment, suggestion generation, and source context integration |
| src/core/taskOrchestrator.ts | Introduces TaskErrorType enum for consistent error handling across the application |
| src/core/sourceCodeContext.ts | New module for extracting Swift source code context with import analysis and test method parsing |
| src/core/formatTestResultResponse.ts | Comprehensive overhaul to provide AI-friendly structured responses with rich formatting and metadata |
| src/tests/testRunner.test.ts | Updated tests to handle new structured response format and error type enums |
| src/tests/sourceCodeContext.test.ts | New test suite covering source code extraction functionality with edge case handling |
| src/tests/orchestrateTask.test.ts | Updated to use new TaskErrorType enum instead of local test error types |
| src/tests/lintFix.test.ts | Updated error handling to use TaskErrorType enum with proper type checking |
| src/tests/e2eAiIntegration.test.ts | New comprehensive end-to-end tests validating complete AI agent integration workflows |
| src/tests/aiEnhancements.test.ts | New test suite focused on AI enhancement features including structured responses and categorization |
Comments suppressed due to low confidence (1)
src/core/testRunner.ts:1
- [nitpick] The multi-line ternary operator chain for priority assignment is difficult to read and maintain. Consider extracting this logic into a separate function like 'determinePriority(buildErrors, priorities, testFailures)' for better readability.
import { TestFixOptions } from "./taskOptions.js";
| // Helper function to categorize test failures | ||
| function categorizeFailure(failure: TestFailure): { category: TestFailureCategory; severity: TestFailureSeverity } { |
There was a problem hiding this comment.
[nitpick] The function name 'categorizeFailure' is ambiguous since it returns both category and severity. Consider renaming to 'analyzeFailure' or 'categorizeAndAssessSeverity' to better reflect its dual purpose.
| // Helper function to categorize test failures | |
| function categorizeFailure(failure: TestFailure): { category: TestFailureCategory; severity: TestFailureSeverity } { | |
| // Helper function to analyze test failures (categorize and assess severity) | |
| function analyzeFailure(failure: TestFailure): { category: TestFailureCategory; severity: TestFailureSeverity } { |
| if ((trimmed.includes('func test') || (trimmed.includes('func ') && trimmed.includes('test'))) && | ||
| !inMethod) { |
There was a problem hiding this comment.
Same logical operator precedence issue as in the previous method. The condition should be clarified with proper parentheses to ensure the intended logic.
| if ((trimmed.includes('func test') || (trimmed.includes('func ') && trimmed.includes('test'))) && | |
| !inMethod) { | |
| if ((trimmed.includes('func test') || (trimmed.includes('func ') && trimmed.includes('test'))) && !inMethod) { |
This PR transforms the iOS MCP Code Quality Server into a powerful tool that enables AI agents like Copilot to iteratively help developers fix failing iOS tests with minimal human intervention. The implementation provides rich context, structured data, and actionable guidance optimized for AI parsing and decision-making.
Key Enhancements
🤖 AI-Optimized Response Structure
_meta.structuredcontaining all data AI agents need for automated processing📊 Enhanced Test Failure Analysis
📝 Source Code Context Integration
🎯 User-Friendly Output
✅ Comprehensive Testing
AI Agent Benefits
This implementation enables AI agents to:
Example Enhanced Output
Before:
After: