Merge pull request #48 from Contrast-Security-OSS/release_candidate_v1_0_7

Release candidate v1.0.7

Author: JacobMagesHaskinsContrast

.flake8

@@ -0,0 +1,45 @@
+[flake8]
+# Configuration for flake8 Python linter
+
+# Maximum line length
+max-line-length = 180
+
+# Exclude directories and files from linting
+exclude = 
+    .git,
+    __pycache__,
+    .venv,
+    venv,
+    env,
+    .env,
+    build,
+    dist,
+    *.egg-info
+
+# Ignore specific error codes
+ignore = 
+    # E203: whitespace before ':' (conflicts with black formatter)
+    E203,
+    # W503: line break before binary operator (conflicts with black formatter)
+    W503,
+    # E501: line too long (we set max-line-length instead)
+    # E501
+
+# Select specific error codes to check (optional - if not specified, checks most things)
+select = 
+    E,   # pycodestyle errors
+    W,   # pycodestyle warnings
+    F,   # pyflakes
+    C,   # mccabe complexity
+
+# Maximum complexity allowed
+max-complexity = 15
+
+# Show the source code for each error
+show-source = True
+
+# Count the number of occurrences of each error/warning code
+statistics = True
+
+# Enable showing the pep8 source for each error
+show-pep8 = True

.github/copilot-instructions.md

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+# GitHub Copilot Instructions for Contrast AI SmartFix
+
+This document provides guidelines for GitHub Copilot when working on the Contrast AI SmartFix project.
+
+## Core Development Principles
+
+### 1. Code Quality & Linting
+- **All code changes MUST pass linting** - Use flake8 with the project's configuration (`.flake8`)
+- Follow PEP 8 style guidelines strictly
+- Maximum line length: 180 characters (as configured in `.flake8`)
+- Use type hints for all function parameters and return values
+- Ensure proper docstrings for all functions, classes, and modules
+
+### 2. Testing Requirements
+- **New code MUST have unit tests** - No exceptions for new functionality
+- **Existing code modifications MUST include tests** - When editing existing code, write comprehensive unit tests
+- Use pytest as the testing framework
+- Maintain minimum 80% code coverage for new code
+- Tests should follow the Arrange-Act-Assert pattern
+- Mock external dependencies appropriately (GitHub API, Contrast API, file system operations)
+
+### 3. Object-Oriented Design & Domain-Driven Design
+- **New code MUST follow Object-Oriented principles** - Encapsulation, inheritance, polymorphism
+- **Refactor existing procedural code to OOP** - When editing old code, take the opportunity to make it Object-Oriented
+- Apply Domain-Driven Design (DDD) principles to identify and model domain objects:
+
+#### Domain Objects to Consider:
+- **Vulnerability** - Represents security vulnerabilities with properties like severity, rule, UUID
+- **Remediation** - Encapsulates the process of fixing a vulnerability
+- **BuildResult** - Represents build execution results and status
+- **GitRepository** - Manages git operations and repository state
+- **PullRequest** - Represents GitHub pull request with metadata and operations
+- **Agent** - Abstracts AI agent behavior (FixAgent, QAAgent)
+- **TelemetryEvent** - Structured telemetry data collection
+- **ConfigurationContext** - Environment and configuration management
+
+#### Design Patterns to Use:
+- **Strategy Pattern** - For different coding agents (SmartFix vs External)
+- **Factory Pattern** - For creating agents, configurations, and API clients
+- **Repository Pattern** - For data access (GitHub, Contrast API)
+- **Command Pattern** - For git operations and build commands
+- **Observer Pattern** - For telemetry and logging events
+
+### 4. Error Handling & Resilience
+- Use custom exception classes that inherit from appropriate base exceptions
+- Implement proper logging at appropriate levels (DEBUG, INFO, WARNING, ERROR)
+- Handle external API failures gracefully with retries where appropriate
+- Validate inputs at boundaries (API responses, user inputs, configuration)
+
+### 5. Async/Await Best Practices
+- Use async/await consistently for I/O operations
+- Properly handle asyncio event loops and cleanup
+- Use context managers for resource management
+- Handle cancellation and timeout scenarios
+
+## File Organization & Architecture
+
+### 6. Module Structure
+- Keep modules focused on single responsibilities
+- Use dependency injection instead of global state where possible
+- Separate domain logic from infrastructure concerns
+- Group related functionality into cohesive modules
+
+### 7. Configuration Management
+- Centralize configuration in the `Config` class
+- Use environment variables with sensible defaults
+- Validate configuration at startup
+- Support testing configurations
+
+## Security & Performance
+
+### 8. Security Considerations
+- Never log sensitive data (API keys, tokens)
+- Sanitize user inputs and API responses
+- Use secure defaults for all configurations
+- Validate file paths to prevent directory traversal
+
+### 9. Performance Guidelines
+- Use efficient data structures and algorithms
+- Implement proper caching where beneficial
+- Avoid blocking operations in async contexts
+- Monitor memory usage for large operations
+
+## Documentation & Maintenance
+
+### 10. Code Documentation
+- Write clear, concise docstrings for all public methods
+- Include usage examples in docstrings for complex functions
+- Document complex business logic with inline comments
+- Keep README.md updated with architectural changes
+
+### 11. Git & Version Control
+- Use descriptive commit messages following conventional commits
+- Keep commits atomic and focused
+- Write meaningful branch names
+- Update version numbers appropriately
+
+## Testing Patterns
+
+### 12. Test Structure
+```python
+class TestClassName:
+    """Test class for ClassName functionality."""
+    
+    def setup_method(self):
+        """Set up test fixtures before each test method."""
+        pass
+    
+    def test_method_name_should_expected_behavior(self):
+        """Test that method_name produces expected behavior under specific conditions."""
+        # Arrange
+        # Act
+        # Assert
+        pass
+```
+
+### 13. Mock Usage
+- Mock external dependencies (APIs, file system, network)
+- Use `unittest.mock.patch` appropriately
+- Verify mock calls when testing side effects
+- Use `pytest.fixture` for reusable test data
+
+## Legacy Code Refactoring
+
+### 14. When Editing Existing Code
+- **Identify domain objects** - Look for data and behavior that belong together
+- **Extract classes** - Convert function clusters into cohesive classes
+- **Introduce interfaces** - Abstract complex dependencies
+- **Add tests first** - Write tests for existing behavior before refactoring
+- **Refactor incrementally** - Make small, safe changes
+
+### 15. Gradual Modernization
+- Replace global variables with dependency injection
+- Convert procedural code to class-based approaches
+- Introduce type hints to existing functions
+- Add comprehensive error handling
+
+## Example Refactoring Approach
+
+**Before (Procedural):**
+```python
+def process_vulnerability(vuln_data, repo_path, config):
+    # 50+ lines of mixed concerns
+    pass
+```
+
+**After (Object-Oriented):**
+```python
+class VulnerabilityProcessor:
+    def __init__(self, repository: GitRepository, agent_factory: AgentFactory):
+        self._repository = repository
+        self._agent_factory = agent_factory
+    
+    def process(self, vulnerability: Vulnerability) -> RemediationResult:
+        agent = self._agent_factory.create_fix_agent()
+        return agent.remediate(vulnerability, self._repository)
+```
+
+## Continuous Improvement
+
+- Regularly review and update these guidelines
+- Incorporate learnings from code reviews
+- Stay updated with Python and testing best practices
+- Monitor code quality metrics and improve accordingly
+
+---
+
+**Remember:** These guidelines ensure maintainable, testable, and robust code that follows industry best practices and domain-driven design principles.