mirror of
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Signed-off-by: Shivam Gawali <shivamgawali585@gmail.com> Co-authored-by: Rizel Scarlett <rizel@tbd.email>
This commit is contained in:
Shivam Gawali
@@ -0,0 +1,530 @@
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# ============================================================================
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# RECIPE METADATA
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# ============================================================================
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# Test Coverage Optimizer - An intermediate recipe that uses Developer and
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# Memory extensions to analyze test coverage patterns, learn from existing
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# tests, and generate intelligent test suggestions that improve over time.
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version: 1.0.0
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title: Test Coverage Optimizer
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description: |
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Analyzes test coverage patterns, learns from existing tests, and generates
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targeted test suggestions to improve coverage systematically. Uses memory
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to learn testing patterns and improve suggestions over time.
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author:
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contact: shiv669
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# ============================================================================
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# ACTIVITIES - User-Facing Workflow Steps
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# ============================================================================
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# These describe what the user will experience during recipe execution
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activities:
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- Scan project test files and coverage metrics
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- Analyze existing test patterns and methodologies
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- Retrieve learned testing patterns from memory
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- Identify critical code gaps and missing test coverage
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- Generate targeted, practical test suggestions based on learned patterns
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- Create test file templates with concrete examples
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- Store new patterns for continuous improvement
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# ============================================================================
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# INSTRUCTIONS - Role and Capabilities
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# ============================================================================
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# explains the role and key capabilities
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instructions: |
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You are a Test Coverage Optimization Specialist that helps development teams
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improve test coverage systematically and intelligently.
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Your goal is to analyze existing test patterns, identify critical gaps,
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and suggest high-impact new tests that developers can implement immediately.
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Key capabilities you possess:
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- Scan codebases for test files across multiple frameworks (pytest, jest, unittest, go-test)
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- Analyze existing test patterns and methodologies to understand team practices
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- Identify code paths that lack test coverage using static analysis
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- Remember and learn from previous testing patterns and improvements
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- Generate practical, ready-to-use test code with explanations
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- Track and improve suggestions based on feedback and patterns
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- Create customizable test templates that match team coding standards
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IMPORTANT: Always start by checking Memory for any saved testing patterns,
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team preferences, and previous coverage analysis for this project.
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This ensures your suggestions improve over time and match team standards.
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# ============================================================================
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# PARAMETERS - User Configuration Options
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# ============================================================================
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# These are the inputs users can provide to customize recipe behavior
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parameters:
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# Parameter 1: Project location
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- key: project_path
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input_type: string
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requirement: optional
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default: "."
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description: "Path to project root directory (where source code is located)"
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# Parameter 2: Testing framework selection
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- key: test_framework
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input_type: string
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requirement: optional
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default: "auto"
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description: "Testing framework to target: 'jest' (JavaScript), 'pytest' (Python), 'unittest' (Python), 'go-test' (Go), or 'auto' for auto-detection"
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# Parameter 3: Coverage target
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- key: coverage_threshold
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input_type: string
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requirement: optional
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default: "80"
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description: "Target coverage percentage (0-100). Used to identify gap size and prioritize tests."
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# Parameter 4: Focus areas for analysis
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- key: focus_areas
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input_type: string
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requirement: optional
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default: "all"
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description: "Comma-separated focus areas: 'core-logic' (primary business logic), 'edge-cases' (boundary conditions), 'error-handling' (exceptions), 'integration' (API/module interactions), or 'all' for comprehensive analysis"
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# Parameter 5: Template generation toggle
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- key: generate_templates
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input_type: string
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requirement: optional
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default: "true"
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description: "Whether to generate test file templates with examples (true/false). Set to false if you only want suggestions without code templates."
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# ============================================================================
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# EXTENSIONS - AI Tools Working Together
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# ============================================================================
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# Exactly 2 extensions that integrate sequentially for intermediate recipe
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extensions:
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# Extension 1: Memory - Context and pattern storage (runs first)
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- type: builtin
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name: memory
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display_name: Memory
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timeout: 300
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bundled: true
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description: |
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Stores and retrieves learned testing patterns, previous coverage analysis,
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and team preferences. Allows the recipe to improve suggestions over time
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by remembering what worked well in past runs.
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# Extension 2: Developer - Code analysis and generation (uses Memory's context)
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- type: builtin
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name: developer
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display_name: Developer
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timeout: 600
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bundled: true
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description: |
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Scans test files, analyzes coverage metrics, identifies code gaps,
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and generates new test code based on analysis and learned patterns
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from Memory. This is the primary tool for all file and code operations.
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# ============================================================================
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# PROMPT - Detailed Workflow with Extension Integration
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# ============================================================================
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# Step-by-step instructions showing how Memory and Developer extensions work together
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prompt: |
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You are analyzing test coverage for the project at {{ project_path }} to generate
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intelligent test suggestions that improve coverage to {{ coverage_threshold }}%.
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# =========================================================================
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# STEP 1: LOAD CONTEXT FROM MEMORY
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# =========================================================================
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# Purpose: Retrieve previously learned patterns to inform current analysis
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# Extension: Memory (loads first)
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Step 1: Load Testing Patterns from Memory
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First, retrieve any previously learned testing patterns for this project:
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- Retrieve key "{{ project_path }}_testing_style" - the team's preferred test structure
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- Retrieve key "{{ project_path }}_gap_patterns" - common gap patterns from past analysis
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- Retrieve key "{{ project_path }}_preferred_frameworks" - frameworks the team uses
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- Retrieve key "testing_best_practices" - general testing best practices library
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If this is your first time analyzing this project, you'll start fresh
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and build up knowledge over time. Store any retrieved patterns in your
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context for use in the generation steps below.
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# =========================================================================
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# STEP 2: DETECT TEST FRAMEWORK
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# =========================================================================
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# Purpose: Identify which testing framework is used in this project
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# Extension: Developer (file scanning)
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Step 2: Detect Testing Framework
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{% if test_framework == "auto" %}
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Since test_framework is set to 'auto', detect the framework automatically:
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a) Search for test file patterns in {{ project_path }}:
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- .test.js, .spec.js, __tests__/*.js files → JavaScript/Jest
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- _test.py, test_*.py, tests/*.py files → Python/pytest or unittest
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- *_test.go, *_test.go files → Go/go-test
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- *.test.ts, *.spec.ts files → TypeScript/Jest
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b) Check for configuration files:
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- package.json with "jest" dependency → Jest
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- pytest.ini, setup.cfg, pyproject.toml → pytest
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- go.mod → go test
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- unittest imports in test files → Python unittest
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c) Report the detected framework with confidence level
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Example: "Detected: pytest (high confidence - found pytest.ini)"
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{% else %}
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Use the specified framework: {{ test_framework }}
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Verify that test files for {{ test_framework }} exist in {{ project_path }}
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If no test files found, suggest creating a basic test structure for {{ test_framework }}
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{% endif %}
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# =========================================================================
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# STEP 3: ANALYZE CURRENT TEST COVERAGE
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# =========================================================================
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# Purpose: Understand current state and identify coverage gaps
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# Extension: Developer (code scanning and analysis)
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Step 3: Analyze Current Test Coverage
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Scan the project at {{ project_path }} for test coverage information:
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a) Test File Inventory:
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- Find all test files matching the detected/specified framework
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- Count total number of test files and individual test cases
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- Calculate ratio: lines of test code vs lines of application code
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- List the main test directories found
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b) Coverage Data Collection:
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- Look for coverage reports in common locations:
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* Python: .coverage, coverage.xml, htmlcov/, .coverage.*
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* JavaScript: coverage/, coverage.json, coverage-final.json
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* Go: coverage.out, coverage.html
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- If coverage reports exist, parse them to get:
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* Overall coverage percentage
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* Per-file coverage breakdown
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* Uncovered line numbers
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- If NO coverage reports found:
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* Estimate coverage by analyzing test file imports and function calls
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* Identify source files that have no corresponding test files
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* Note: "No coverage data found - will identify gaps by analysis"
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c) Gap Analysis:
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- Compare current coverage to target {{ coverage_threshold }}%
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- Identify files with coverage below threshold
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- List top 10 files/modules with lowest coverage
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- Focus analysis on {{ focus_areas }}
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- Prioritize gaps by impact:
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* Critical: Core business logic with <50% coverage
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* High: Error handling and edge cases with <70% coverage
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* Medium: Helper functions and utilities with <80% coverage
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# =========================================================================
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# STEP 4: IDENTIFY GAPS USING LEARNED PATTERNS
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# =========================================================================
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# Purpose: Use Memory's patterns to make smarter gap identification
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# Extension: Both (Developer analysis + Memory context)
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Step 4: Identify Testing Gaps (Using Learned Patterns)
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Using both the coverage analysis AND the learned patterns from Step 1:
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a) Apply learned patterns to current analysis:
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- If Memory contains testing style preferences, apply them
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- Check if current gaps match previously identified gap patterns
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- Consider team's preferred test granularity (unit vs integration)
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- Note patterns like: "Team prefers testing error cases separately"
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b) Categorize and prioritize missing tests by {{ focus_areas }}:
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{% if focus_areas == "all" or "core-logic" in focus_areas %}
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- Core Logic Gaps:
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* Functions/methods with no test coverage
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* Business logic paths not exercised by tests
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* Main workflows missing test scenarios
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{% endif %}
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{% if focus_areas == "all" or "edge-cases" in focus_areas %}
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- Edge Case Gaps:
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* Boundary conditions (empty inputs, max values, null/undefined)
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* Unusual input combinations
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* Race conditions or timing-sensitive code
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{% endif %}
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{% if focus_areas == "all" or "error-handling" in focus_areas %}
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- Error Handling Gaps:
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* Exception paths not tested
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* Error callbacks or error states
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* Validation failure scenarios
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{% endif %}
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{% if focus_areas == "all" or "integration" in focus_areas %}
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- Integration Gaps:
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* API endpoint tests
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* Database interaction tests
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* External service mock/integration tests
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{% endif %}
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c) Create prioritized list:
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- Rank gaps by: (impact × likelihood × ease of testing)
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- Mark which gaps align with learned patterns
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- Identify quick wins (high impact, easy to test)
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# =========================================================================
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# STEP 5: GENERATE TEST SUGGESTIONS
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# =========================================================================
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# Purpose: Create specific, actionable test recommendations
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# Extension: Developer (code generation using learned context)
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Step 5: Generate Test Suggestions
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For each identified gap, create specific test suggestions:
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a) For each high-priority gap:
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- Write a clear, descriptive test name following framework conventions
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- Explain what this test should verify
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- Provide the expected test structure for {{ test_framework }}
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- Include a brief code example showing the test skeleton
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- If learned patterns exist, match the team's testing style
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Example format:
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```
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Test: test_user_authentication_with_invalid_credentials
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Purpose: Verify that authentication fails gracefully with wrong password
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Priority: Critical (core-logic, error-handling)
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Estimated effort: 10 minutes
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Code example for {{ test_framework }}:
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[Framework-specific test code here]
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```
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b) Include implementation context:
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- Why this test is important (coverage gap, risk mitigation)
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- Which code path it covers
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- Expected assertions and edge cases to test
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- Dependencies or mocks needed
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c) Organize suggestions by priority:
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- Critical (must-have for {{ coverage_threshold }}% target)
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- High (important for robust coverage)
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- Medium (nice-to-have, improves confidence)
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d) Limit initial suggestions:
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- Provide top 5-10 most impactful tests
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- Note: "Implement these first, then re-run for more suggestions"
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# =========================================================================
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# STEP 6: CREATE TEST TEMPLATES (Optional)
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# =========================================================================
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# Purpose: Generate ready-to-use test file templates
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# Extension: Developer (template creation)
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Step 6: Generate Test Templates
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{% if generate_templates == "true" %}
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Create test file templates that developers can immediately use:
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a) For files with NO existing tests:
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- Create a complete new test file template
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- Include proper imports for {{ test_framework }}
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- Add setup/teardown methods if applicable
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- Provide 2-3 example test functions with placeholders
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- Match the coding style from Memory if available
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b) For files with SOME existing tests:
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- Generate test functions to add to existing test files
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- Match the existing test file's style and structure
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- Include comments indicating where to insert the new tests
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c) Include in templates:
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- Proper test file naming (matching framework conventions)
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- Required imports and dependencies
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- Mock/fixture setup if needed
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- Clear TODOs for values to fill in
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- Example assertions showing expected patterns
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d) Output format:
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- Provide templates as copyable code blocks
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- Include file paths where templates should be saved
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- Add instructions for running the tests
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Example output:
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```
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# File: tests/test_user_authentication.py
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# Framework: pytest
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# Purpose: Tests for user authentication module
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import pytest
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from myapp.auth import authenticate_user
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def test_authentication_success():
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# TODO: Replace with actual test data
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user = {"username": "test_user", "password": "correct_password"}
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result = authenticate_user(user)
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assert result.success is True
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assert result.user_id is not None
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def test_authentication_invalid_password():
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# Test critical error path
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user = {"username": "test_user", "password": "wrong_password"}
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result = authenticate_user(user)
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assert result.success is False
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assert result.error == "Invalid credentials"
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```
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{% else %}
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Template generation is disabled. Providing suggestions only (see Step 5).
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{% endif %}
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||||
# =========================================================================
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||||
# STEP 7: STORE PATTERNS IN MEMORY
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# =========================================================================
|
||||
# Purpose: Learn from this analysis to improve future runs
|
||||
# Extension: Memory (pattern storage)
|
||||
|
||||
Step 7: Store Analysis Results and Patterns in Memory
|
||||
Update Memory with findings from this analysis:
|
||||
|
||||
a) Store project-specific patterns:
|
||||
- Save key "{{ project_path }}_testing_style":
|
||||
* Detected framework: {{ test_framework }}
|
||||
* Common test patterns observed (e.g., "uses fixtures", "prefers mocks")
|
||||
* Naming conventions detected
|
||||
* Code style preferences
|
||||
|
||||
- Save key "{{ project_path }}_gap_patterns":
|
||||
* Types of gaps found this run
|
||||
* Areas consistently lacking coverage
|
||||
* Common missing test scenarios
|
||||
|
||||
- Save key "{{ project_path }}_coverage_baseline":
|
||||
* Current coverage: [calculated percentage]%
|
||||
* Target coverage: {{ coverage_threshold }}%
|
||||
* Date of analysis
|
||||
* Number of tests suggested
|
||||
|
||||
b) Update general knowledge:
|
||||
- Save key "testing_best_practices":
|
||||
* Effective test patterns encountered
|
||||
* Framework-specific tips learned
|
||||
* Common pitfalls to avoid
|
||||
|
||||
c) Store metadata for tracking:
|
||||
- Analysis timestamp
|
||||
- Framework detected/used
|
||||
- Focus areas analyzed
|
||||
- Number of suggestions generated
|
||||
- Estimated coverage improvement
|
||||
|
||||
Note: This stored information will be used in Step 1 of the next run
|
||||
to provide better, more contextual suggestions.
|
||||
|
||||
|
||||
# =========================================================================
|
||||
# STEP 8: PRESENT FINAL REPORT
|
||||
# =========================================================================
|
||||
# Purpose: Clearly communicate results and next steps to user
|
||||
# Extension: Both (summarized results)
|
||||
|
||||
Step 8: Present Comprehensive Report
|
||||
Provide a well-structured final report to the user:
|
||||
|
||||
a) Coverage Summary:
|
||||
```
|
||||
📊 Test Coverage Analysis for {{ project_path }}
|
||||
|
||||
Current Coverage: [calculated percentage]% (based on analysis/reports)
|
||||
Target Coverage: {{ coverage_threshold }}%
|
||||
Coverage Gap: [target minus current]% (target - current)
|
||||
|
||||
Framework Detected: {{ test_framework }}
|
||||
Focus Areas: {{ focus_areas }}
|
||||
Tests Analyzed: [count] test files, [count] test cases
|
||||
```
|
||||
|
||||
b) Top Recommended Tests:
|
||||
List the 5-10 highest priority test suggestions:
|
||||
```
|
||||
🎯 High-Priority Test Suggestions:
|
||||
|
||||
1. [CRITICAL] test_user_login_with_invalid_credentials
|
||||
- What: Verify authentication fails gracefully
|
||||
- Why: Core security logic, currently untested
|
||||
- Effort: ~10 minutes
|
||||
- Coverage gain: +2-3%
|
||||
|
||||
2. [CRITICAL] test_data_validation_edge_cases
|
||||
- What: Test empty/null input handling
|
||||
- Why: Common source of production bugs
|
||||
- Effort: ~15 minutes
|
||||
- Coverage gain: +1-2%
|
||||
|
||||
[... continue for top suggestions]
|
||||
```
|
||||
|
||||
c) Implementation Guidance:
|
||||
```
|
||||
📝 Next Steps:
|
||||
|
||||
1. Start with CRITICAL tests (biggest impact)
|
||||
2. {% if generate_templates == "true" %}
|
||||
Use the templates provided above - copy and customize
|
||||
{% else %}
|
||||
Create test files based on suggestions above
|
||||
{% endif %}
|
||||
3. Run tests to verify they work: {{ test_framework }} [command]
|
||||
4. Run coverage again to see improvement
|
||||
5. Re-run this recipe for additional suggestions
|
||||
|
||||
💡 Pro Tips:
|
||||
- Implement tests iteratively (don't try to do everything at once)
|
||||
- Run coverage after each batch to track progress
|
||||
- For {{ coverage_threshold }}% target, focus on core-logic first
|
||||
- This recipe learns - patterns will improve with each run
|
||||
```
|
||||
|
||||
d) Coverage Projection:
|
||||
```
|
||||
📈 Estimated Impact:
|
||||
|
||||
If you implement the top 5 suggested tests:
|
||||
- Estimated coverage increase: +[percentage]%
|
||||
- New coverage projection: [new total]%
|
||||
- Remaining gap to target: [remaining gap]%
|
||||
|
||||
Tests needed to reach {{ coverage_threshold }}%: approximately [number] more tests
|
||||
```
|
||||
|
||||
e) Learned Patterns Summary:
|
||||
```
|
||||
🧠 Memory Updated:
|
||||
|
||||
- Stored testing style preferences for {{ project_path }}
|
||||
- Saved [count] gap patterns for future reference
|
||||
- Updated coverage baseline
|
||||
- Future runs will provide better suggestions based on this analysis
|
||||
```
|
||||
|
||||
|
||||
# =========================================================================
|
||||
# COMPLETION
|
||||
# =========================================================================
|
||||
|
||||
Your analysis is complete! The user now has:
|
||||
- Clear understanding of current coverage gaps
|
||||
- Prioritized list of tests to implement
|
||||
{% if generate_templates == "true" %}
|
||||
- Ready-to-use test templates
|
||||
{% endif %}
|
||||
- Improved future suggestions through Memory learning
|
||||
|
||||
Remind the user to re-run this recipe after implementing tests to:
|
||||
1. See coverage improvements
|
||||
2. Get additional suggestions based on learned patterns
|
||||
3. Continue iterating toward {{ coverage_threshold }}% coverage
|
||||
Reference in New Issue
Block a user