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Remove GitHub and GitLab mocking per user request
Co-authored-by: notfolder <20558197+notfolder@users.noreply.github.com>
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tests/README.md

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# Test Automation for Coding Agent
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This directory contains comprehensive test automation for the coding agent project, implementing the requirements from issue #17.
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This directory contains test automation for the coding agent project, modified per user request to remove GitHub and GitLab mocking.
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## Overview
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The test automation framework provides:
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1. **Mock MCP Servers** - Simulates GitHub and GitLab MCP server interactions
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2. **Mock LLM Client** - Provides configurable LLM responses for testing
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3. **Unit Tests** - Tests individual components (TaskGetter, TaskHandler, etc.)
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4. **Integration Tests** - Tests complete workflows end-to-end
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1. **Mock LLM Client** - Provides configurable LLM responses for testing
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2. **Basic MCP Client Mock** - Generic MCP client interface without service-specific data
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3. **Unit Tests** - Tests basic functionality without external service dependencies
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4. **Integration Tests** - Tests framework components working together
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5. **Test Configuration** - Mock-enabled configuration for testing
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## Test Structure
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├── __init__.py
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├── test_config.yaml # Test configuration with mock providers
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├── run_tests.py # Test runner script
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├── demo.py # Demo of testing framework
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├── mocks/ # Mock implementations
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│ ├── __init__.py
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│ ├── mock_mcp_client.py # Mock MCP server for GitHub/GitLab
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│ ├── mock_mcp_client.py # Generic MCP client mock (GitHub/GitLab specifics removed)
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│ └── mock_llm_client.py # Mock LLM client with configurable responses
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├── unit/ # Unit tests
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│ ├── test_github_tasks.py # GitHub task management tests
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│ ├── test_gitlab_tasks.py # GitLab task management tests
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│ └── test_task_handler.py # Task processing and LLM interaction tests
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│ ├── test_github_tasks.py # Basic GitHub-related functionality tests (no API mocking)
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│ └── test_gitlab_tasks.py # Basic GitLab-related functionality tests (no API mocking)
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└── integration/ # Integration tests
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└── test_workflow.py # End-to-end workflow tests
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└── test_workflow.py # Basic framework integration tests
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```
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## Key Features Tested
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### GitHub Integration
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- Issue discovery and filtering by labels
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- Task state management (coding agent → processing → done)
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- Issue commenting and updates
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- Pull request handling
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### GitLab Integration
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- Issue discovery and filtering by labels
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- Task state management via labels
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- Issue discussions and updates
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- Merge request handling
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### Task Processing
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- LLM interaction with tool calls
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### LLM Integration
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- Mock LLM client with configurable responses
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- JSON response parsing and error handling
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- Task queue operations
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- Workflow state transitions
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### Error Handling
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- Invalid JSON response handling
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- Tool call failures
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- Network/API error simulation
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- Recovery mechanisms
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- Multi-turn conversation simulation
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- Error recovery testing
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### Basic GitHub/GitLab Functionality (No Service Mocking)
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- URL parsing and basic data structure handling
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- Label manipulation
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- Prompt formatting
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- Basic validation without API calls
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### Framework Integration
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- Mock components working together
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- Configuration loading
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- Basic workflow validation
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## Running Tests
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### Run All Tests
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```bash
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python3 -m unittest tests.unit.test_github_tasks
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python3 -m unittest tests.unit.test_gitlab_tasks
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python3 -m unittest tests.unit.test_task_handler
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python3 -m unittest tests.integration.test_workflow
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```
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### Run Interactive Demo
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```bash
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python3 tests/demo.py
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```
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## Mock Components
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### Mock MCP Client (`MockMCPToolClient`)
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- Simulates GitHub and GitLab MCP server responses
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- Provides realistic mock data for issues, comments, labels
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- Supports all required MCP tools (search_issues, get_issue, update_issue, etc.)
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- Handles both GitHub and GitLab API patterns
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- Generic MCP client interface for testing
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- No longer provides GitHub/GitLab specific data (removed per user request)
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- Returns empty responses for tool calls
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- Supports basic MCP lifecycle operations
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### Mock LLM Client (`MockLLMClient`)
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- Configurable response queue for testing different scenarios
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```yaml
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llm:
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provider: "mock" # Uses MockLLMClient instead of real LLM
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mcp_servers:
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- mcp_server_name: "github"
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command: ["mock_github_server"] # Mock GitHub MCP server
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- mcp_server_name: "gitlab"
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command: ["mock_gitlab_server"] # Mock GitLab MCP server
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```
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## Test Coverage
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The tests cover the main requirements from the original issue:
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The tests cover basic framework functionality without external service dependencies:
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1. ✅ **GitHub/GitLab Integration**: Tests issue/PR/MR retrieval and state management
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2. ✅ **Mock LLM Usage**: Verifies MCP server interaction with mock LLMs
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3. ✅ **State Management**: Tests label transitions (coding agent → processing → done)
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4. ✅ **Error Handling**: Tests recovery from JSON parsing and tool call errors
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5. ✅ **Workflow Automation**: End-to-end tests of the complete coding agent workflow
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1. ✅ **LLM Mocking**: Mock LLM client with configurable responses
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2. ✅ **Basic MCP Interface**: Generic MCP client operations
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3. ✅ **Framework Integration**: Components working together
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4. ✅ **Error Handling**: JSON parsing and error recovery
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5. ✅ **Configuration**: Test configuration loading and validation
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## Benefits
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- **No External Dependencies**: Tests run without requiring actual GitHub/GitLab tokens or LLM API access
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- **No External Dependencies**: Tests run without requiring GitHub/GitLab tokens or LLM API access
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- **Fast Execution**: Mock components enable rapid test execution
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- **Reliable**: Tests are deterministic and don't depend on external service availability
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- **Comprehensive**: Covers both happy path and error scenarios
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- **Simplified**: Focused on core framework functionality without service-specific complexity
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- **Maintainable**: Well-structured with clear separation of concerns
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## Future Enhancements
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## Important Notes
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- Add performance testing for high-volume task processing
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- Implement more sophisticated error scenarios
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- Add tests for additional MCP server integrations
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- Include load testing for concurrent task processing
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- **GitHub and GitLab mocking has been removed** per user request
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- Tests now focus on basic functionality and LLM interaction patterns
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- No actual GitHub/GitLab API calls are mocked or simulated
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- Framework tests validate component integration without service dependencies

tests/demo.py

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#!/usr/bin/env python3
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"""
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Example usage of the coding agent test automation framework
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(GitHub/GitLab mocking removed per user request)
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"""
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import os
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import sys
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def demonstrate_mock_mcp_client():
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"""Demonstrate mock MCP client usage"""
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"""Demonstrate mock MCP client usage (GitHub/GitLab specifics removed)"""
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print("=== Mock MCP Client Demo ===")
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# Create GitHub mock client
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github_config = {'mcp_server_name': 'github', 'command': ['mock']}
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github_client = MockMCPToolClient(github_config)
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# Create generic mock client
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test_config = {'mcp_server_name': 'test_server', 'command': ['mock']}
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test_client = MockMCPToolClient(test_config)
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# Show available tools
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tools = github_client.list_tools()
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print(f"GitHub tools: {[tool['name'] for tool in tools]}")
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# Show available tools (should return empty list now)
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tools = test_client.list_tools()
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print(f"Test server tools: {[tool.get('name', 'unnamed') for tool in tools]}")
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# Search for issues
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issues = github_client.call_tool('search_issues', {'q': 'label:"coding agent"'})
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print(f"Found {len(issues['items'])} mock issues")
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# Test basic tool call (will return empty dict)
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result = test_client.call_tool('test_tool', {'param': 'value'})
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print(f"Tool call result: {result}")
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# Get issue details
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issue = github_client.call_tool('get_issue', {'issue_number': 1})
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print(f"Issue: {issue['title']}")
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# Add comment
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comment = github_client.call_tool('add_issue_comment', {
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'issue_number': 1,
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'body': 'This is a test comment'
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})
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print(f"Added comment: {comment['body']}")
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# Test system prompt
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prompt = test_client.system_prompt
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print(f"System prompt: {prompt}")
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print()
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llm_client.send_system_prompt("You are a helpful coding assistant.")
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# Send user message
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llm_client.send_user_message("Please help me with issue #1")
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llm_client.send_user_message("Please help me with a test task")
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# Get responses
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response1, _ = llm_client.get_response()
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def demonstrate_test_workflow():
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"""Demonstrate the complete test workflow"""
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"""Demonstrate the basic test workflow without GitHub/GitLab specifics"""
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print("=== Test Workflow Demo ===")
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# Load test config
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print("Test configuration loaded:")
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print(f" LLM Provider: {config['llm']['provider']}")
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print(f" GitHub Bot Label: {config['github']['bot_label']}")
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print(f" GitLab Bot Label: {config['gitlab']['bot_label']}")
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# Note: GitHub/GitLab specific config removed per user request
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print()
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# Create mock clients
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github_client = MockMCPToolClient({'mcp_server_name': 'github', 'command': ['mock']})
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gitlab_client = MockMCPToolClient({'mcp_server_name': 'gitlab', 'command': ['mock']})
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# Create mock clients (generic, not service-specific)
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test_client = MockMCPToolClient({'mcp_server_name': 'test_server', 'command': ['mock']})
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llm_client = MockLLMClient(config)
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print("Mock clients created successfully!")
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print(f" GitHub client has {len(github_client.mock_data['issues'])} mock issues")
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print(f" GitLab client has {len(gitlab_client.mock_data['issues'])} mock issues")
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print(f" Test MCP client initialized with server: {test_client.server_name}")
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print(f" LLM client has {len(llm_client.response_queue)} default responses")
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print()
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def main():
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"""Main demo function"""
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print("Coding Agent Test Automation Framework Demo")
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print("(GitHub/GitLab mocking removed per user request)")
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print("=" * 50)
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print()
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print(" python3 -m tests.run_tests")
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print(" python3 -m tests.run_tests --unit")
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print(" python3 -m tests.run_tests --integration")
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print()
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print("Note: GitHub and GitLab mocking has been removed per user request.")
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print("Tests now focus on LLM client mocking and general framework functionality.")
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except Exception as e:
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print(f"❌ Demo failed: {e}")

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