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# Directory Structure
```
├── .gitignore
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── diagnose_cost_optimization_hub_v2.py
├── LICENSE
├── logging_config.py
├── mcp_runbooks.json
├── mcp_server_with_runbooks.py
├── playbooks
│ ├── __init__.py
│ ├── aws_lambda
│ │ ├── __init__.py
│ │ └── lambda_optimization.py
│ ├── cloudtrail
│ │ ├── __init__.py
│ │ └── cloudtrail_optimization.py
│ ├── cloudtrail_optimization.py
│ ├── cloudwatch
│ │ ├── __init__.py
│ │ ├── aggregation_queries.py
│ │ ├── alarms_and_dashboards_analyzer.py
│ │ ├── analysis_engine.py
│ │ ├── base_analyzer.py
│ │ ├── cloudwatch_optimization_analyzer.py
│ │ ├── cloudwatch_optimization_tool.py
│ │ ├── cloudwatch_optimization.py
│ │ ├── cost_controller.py
│ │ ├── general_spend_analyzer.py
│ │ ├── logs_optimization_analyzer.py
│ │ ├── metrics_optimization_analyzer.py
│ │ ├── optimization_orchestrator.py
│ │ └── result_processor.py
│ ├── comprehensive_optimization.py
│ ├── ebs
│ │ ├── __init__.py
│ │ └── ebs_optimization.py
│ ├── ebs_optimization.py
│ ├── ec2
│ │ ├── __init__.py
│ │ └── ec2_optimization.py
│ ├── ec2_optimization.py
│ ├── lambda_optimization.py
│ ├── rds
│ │ ├── __init__.py
│ │ └── rds_optimization.py
│ ├── rds_optimization.py
│ └── s3
│ ├── __init__.py
│ ├── analyzers
│ │ ├── __init__.py
│ │ ├── api_cost_analyzer.py
│ │ ├── archive_optimization_analyzer.py
│ │ ├── general_spend_analyzer.py
│ │ ├── governance_analyzer.py
│ │ ├── multipart_cleanup_analyzer.py
│ │ └── storage_class_analyzer.py
│ ├── base_analyzer.py
│ ├── s3_aggregation_queries.py
│ ├── s3_analysis_engine.py
│ ├── s3_comprehensive_optimization_tool.py
│ ├── s3_optimization_orchestrator.py
│ └── s3_optimization.py
├── README.md
├── requirements.txt
├── runbook_functions_extended.py
├── runbook_functions.py
├── RUNBOOKS_GUIDE.md
├── services
│ ├── __init__.py
│ ├── cloudwatch_pricing.py
│ ├── cloudwatch_service_vended_log.py
│ ├── cloudwatch_service.py
│ ├── compute_optimizer.py
│ ├── cost_explorer.py
│ ├── optimization_hub.py
│ ├── performance_insights.py
│ ├── pricing.py
│ ├── s3_pricing.py
│ ├── s3_service.py
│ ├── storage_lens_service.py
│ └── trusted_advisor.py
├── setup.py
├── test_runbooks.py
├── tests
│ ├── __init__.py
│ ├── conftest.py
│ ├── integration
│ │ ├── __init__.py
│ │ ├── cloudwatch
│ │ │ └── test_cloudwatch_integration.py
│ │ ├── test_cloudwatch_comprehensive_tool_integration.py
│ │ ├── test_cloudwatch_orchestrator_integration.py
│ │ ├── test_integration_suite.py
│ │ └── test_orchestrator_integration.py
│ ├── legacy
│ │ ├── example_output_with_docs.py
│ │ ├── example_wellarchitected_output.py
│ │ ├── test_aws_session_management.py
│ │ ├── test_cloudwatch_orchestrator_pagination.py
│ │ ├── test_cloudwatch_pagination_integration.py
│ │ ├── test_cloudwatch_performance_optimizations.py
│ │ ├── test_cloudwatch_result_processor.py
│ │ ├── test_cloudwatch_timeout_issue.py
│ │ ├── test_documentation_links.py
│ │ ├── test_metrics_pagination_count.py
│ │ ├── test_orchestrator_integration.py
│ │ ├── test_pricing_cache_fix_moved.py
│ │ ├── test_pricing_cache_fix.py
│ │ ├── test_runbook_integration.py
│ │ ├── test_runbooks.py
│ │ ├── test_setup_verification.py
│ │ └── test_stack_trace_fix.py
│ ├── performance
│ │ ├── __init__.py
│ │ ├── cloudwatch
│ │ │ └── test_cloudwatch_performance.py
│ │ ├── test_cloudwatch_parallel_execution.py
│ │ ├── test_parallel_execution.py
│ │ └── test_performance_suite.py
│ ├── pytest-cloudwatch.ini
│ ├── pytest.ini
│ ├── README.md
│ ├── requirements-test.txt
│ ├── run_cloudwatch_tests.py
│ ├── run_tests.py
│ ├── test_setup_verification.py
│ ├── test_suite_main.py
│ └── unit
│ ├── __init__.py
│ ├── analyzers
│ │ ├── __init__.py
│ │ ├── conftest_cloudwatch.py
│ │ ├── test_alarms_and_dashboards_analyzer.py
│ │ ├── test_base_analyzer.py
│ │ ├── test_cloudwatch_base_analyzer.py
│ │ ├── test_cloudwatch_cost_constraints.py
│ │ ├── test_cloudwatch_general_spend_analyzer.py
│ │ ├── test_general_spend_analyzer.py
│ │ ├── test_logs_optimization_analyzer.py
│ │ └── test_metrics_optimization_analyzer.py
│ ├── cloudwatch
│ │ ├── test_cache_control.py
│ │ ├── test_cloudwatch_api_mocking.py
│ │ ├── test_cloudwatch_metrics_pagination.py
│ │ ├── test_cloudwatch_pagination_architecture.py
│ │ ├── test_cloudwatch_pagination_comprehensive_fixed.py
│ │ ├── test_cloudwatch_pagination_comprehensive.py
│ │ ├── test_cloudwatch_pagination_fixed.py
│ │ ├── test_cloudwatch_pagination_real_format.py
│ │ ├── test_cloudwatch_pagination_simple.py
│ │ ├── test_cloudwatch_query_pagination.py
│ │ ├── test_cloudwatch_unit_suite.py
│ │ ├── test_general_spend_tips_refactor.py
│ │ ├── test_import_error.py
│ │ ├── test_mcp_pagination_bug.py
│ │ └── test_mcp_surface_pagination.py
│ ├── s3
│ │ └── live
│ │ ├── test_bucket_listing.py
│ │ ├── test_s3_governance_bucket_discovery.py
│ │ └── test_top_buckets.py
│ ├── services
│ │ ├── __init__.py
│ │ ├── test_cloudwatch_cost_controller.py
│ │ ├── test_cloudwatch_query_service.py
│ │ ├── test_cloudwatch_service.py
│ │ ├── test_cost_control_routing.py
│ │ └── test_s3_service.py
│ └── test_unit_suite.py
└── utils
├── __init__.py
├── aws_client_factory.py
├── cache_decorator.py
├── cleanup_manager.py
├── cloudwatch_cache.py
├── documentation_links.py
├── error_handler.py
├── intelligent_cache.py
├── logging_config.py
├── memory_manager.py
├── parallel_executor.py
├── performance_monitor.py
├── progressive_timeout.py
├── service_orchestrator.py
└── session_manager.py
```
# Files
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
```
1 | #UNCOMMENT THE BELOW LINE IN PUBLIC GITLAB VERSION TO AVOID SHARING THE KIRO SETTINGS
2 | #.kiro/
3 |
4 | # Virtual environments
5 | venv/
6 | env/
7 | .env/
8 | .venv/
9 | ENV/
10 | env.bak/
11 | venv.bak/
12 |
13 | #Temporary folders
14 | __pycache__/
15 | .pytest_cache/
16 | .amazonq/
17 | sessions/
18 | tests/.pytest_cache/
19 |
20 | #Log folders
21 | logs/
22 |
23 | # IDE
24 | .vscode/
25 | .idea/
26 | *.swp
27 | *.swo
28 |
29 | # OS
30 | .DS_Store
31 | .DS_Store?
32 | ._*
33 | .Spotlight-V100
34 | .Trashes
35 | ehthumbs.db
36 | Thumbs.db
37 |
38 | #Template files
39 | mcp_runbooks.json
```
--------------------------------------------------------------------------------
/tests/README.md:
--------------------------------------------------------------------------------
```markdown
1 | # S3 Optimization System - Testing Suite
2 |
3 | This directory contains a comprehensive testing suite for the S3 optimization system, designed to ensure reliability, performance, and most importantly, **cost constraint compliance**.
4 |
5 | ## 🚨 Critical: No-Cost Constraint Testing
6 |
7 | The most important aspect of this testing suite is validating that the system **NEVER** performs cost-incurring S3 operations. The `no_cost_validation/` tests are critical for customer billing protection.
8 |
9 | ## Test Structure
10 |
11 | ```
12 | tests/
13 | ├── conftest.py # Shared fixtures and configuration
14 | ├── pytest.ini # Pytest configuration
15 | ├── requirements-test.txt # Testing dependencies
16 | ├── run_tests.py # Test runner script
17 | ├── README.md # This file
18 | ├── unit/ # Unit tests with mocked dependencies
19 | │ ├── analyzers/ # Analyzer unit tests
20 | │ │ ├── test_base_analyzer.py
21 | │ │ └── test_general_spend_analyzer.py
22 | │ └── services/ # Service unit tests
23 | │ └── test_s3_service.py
24 | ├── integration/ # Integration tests
25 | │ └── test_orchestrator_integration.py
26 | ├── performance/ # Performance and load tests
27 | │ └── test_parallel_execution.py
28 | └── no_cost_validation/ # 🚨 CRITICAL: Cost constraint tests
29 | └── test_cost_constraints.py
30 | ```
31 |
32 | ## Test Categories
33 |
34 | ### 1. Unit Tests (`unit/`)
35 | - **Purpose**: Test individual components in isolation
36 | - **Scope**: Analyzers, services, utilities
37 | - **Dependencies**: Fully mocked AWS services
38 | - **Speed**: Fast (< 1 second per test)
39 | - **Coverage**: High code coverage with edge cases
40 |
41 | **Key Features:**
42 | - Comprehensive mocking of AWS services
43 | - Parameter validation testing
44 | - Error handling verification
45 | - Performance monitoring integration testing
46 |
47 | ### 2. Integration Tests (`integration/`)
48 | - **Purpose**: Test component interactions and data flow
49 | - **Scope**: Orchestrator + analyzers + services
50 | - **Dependencies**: Mocked AWS APIs with realistic responses
51 | - **Speed**: Medium (1-10 seconds per test)
52 | - **Coverage**: End-to-end workflows
53 |
54 | **Key Features:**
55 | - Complete analysis workflow testing
56 | - Service fallback chain validation
57 | - Session management integration
58 | - Error propagation testing
59 |
60 | ### 3. Performance Tests (`performance/`)
61 | - **Purpose**: Validate performance characteristics and resource usage
62 | - **Scope**: Parallel execution, timeout handling, memory usage
63 | - **Dependencies**: Controlled mock delays and resource simulation
64 | - **Speed**: Slow (10-60 seconds per test)
65 | - **Coverage**: Performance benchmarks and limits
66 |
67 | **Key Features:**
68 | - Parallel vs sequential execution comparison
69 | - Timeout handling validation
70 | - Memory usage monitoring
71 | - Concurrent request handling
72 | - Cache effectiveness testing
73 |
74 | ### 4. No-Cost Constraint Validation (`no_cost_validation/`) 🚨
75 | - **Purpose**: **CRITICAL** - Ensure no cost-incurring operations are performed
76 | - **Scope**: All S3 operations across the entire system
77 | - **Dependencies**: Cost constraint validation framework
78 | - **Speed**: Fast (< 1 second per test)
79 | - **Coverage**: 100% of S3 operations
80 |
81 | **Key Features:**
82 | - Forbidden operation detection
83 | - Cost constraint system validation
84 | - Data source cost verification
85 | - End-to-end cost compliance testing
86 | - Bypass attempt prevention
87 |
88 | ## Running Tests
89 |
90 | ### Quick Start
91 |
92 | ```bash
93 | # Check test environment
94 | python tests/run_tests.py --check
95 |
96 | # Run all tests
97 | python tests/run_tests.py --all
98 |
99 | # Run specific test suites
100 | python tests/run_tests.py --unit
101 | python tests/run_tests.py --integration
102 | python tests/run_tests.py --performance
103 | python tests/run_tests.py --cost-validation # 🚨 CRITICAL
104 | ```
105 |
106 | ### Using pytest directly
107 |
108 | ```bash
109 | # Install test dependencies
110 | pip install -r tests/requirements-test.txt
111 |
112 | # Run unit tests with coverage
113 | pytest tests/unit/ --cov=core --cov=services --cov-report=html
114 |
115 | # Run integration tests
116 | pytest tests/integration/ -v
117 |
118 | # Run performance tests
119 | pytest tests/performance/ -m performance
120 |
121 | # Run cost validation tests (CRITICAL)
122 | pytest tests/no_cost_validation/ -m no_cost_validation -v
123 | ```
124 |
125 | ### Test Markers
126 |
127 | Tests are organized using pytest markers:
128 |
129 | - `@pytest.mark.unit` - Unit tests
130 | - `@pytest.mark.integration` - Integration tests
131 | - `@pytest.mark.performance` - Performance tests
132 | - `@pytest.mark.no_cost_validation` - 🚨 Cost constraint tests
133 | - `@pytest.mark.slow` - Tests that take longer to run
134 | - `@pytest.mark.aws` - Tests requiring real AWS credentials (skipped by default)
135 |
136 | ## Test Configuration
137 |
138 | ### Environment Variables
139 |
140 | ```bash
141 | # AWS credentials for testing (use test account only)
142 | export AWS_ACCESS_KEY_ID=testing
143 | export AWS_SECRET_ACCESS_KEY=testing
144 | export AWS_DEFAULT_REGION=us-east-1
145 |
146 | # Test configuration
147 | export PYTEST_TIMEOUT=300
148 | export PYTEST_WORKERS=auto
149 | ```
150 |
151 | ### Coverage Requirements
152 |
153 | - **Minimum Coverage**: 80%
154 | - **Target Coverage**: 90%+
155 | - **Critical Paths**: 100% (cost constraint validation)
156 |
157 | ### Performance Benchmarks
158 |
159 | - **Unit Tests**: < 1 second each
160 | - **Integration Tests**: < 10 seconds each
161 | - **Performance Tests**: < 60 seconds each
162 | - **Full Suite**: < 5 minutes
163 |
164 | ## Key Testing Patterns
165 |
166 | ### 1. AWS Service Mocking
167 |
168 | ```python
169 | @pytest.fixture
170 | def mock_s3_service():
171 | service = Mock()
172 | service.list_buckets = AsyncMock(return_value={
173 | "status": "success",
174 | "data": {"Buckets": [...]}
175 | })
176 | return service
177 | ```
178 |
179 | ### 2. Cost Constraint Validation
180 |
181 | ```python
182 | def test_no_forbidden_operations(cost_constraint_validator):
183 | # Test code that should not call forbidden operations
184 | analyzer.analyze()
185 |
186 | summary = cost_constraint_validator.get_operation_summary()
187 | assert len(summary["forbidden_called"]) == 0
188 | ```
189 |
190 | ### 3. Performance Testing
191 |
192 | ```python
193 | @pytest.mark.performance
194 | async def test_parallel_execution_performance(performance_tracker):
195 | performance_tracker.start_timer("test")
196 | await run_parallel_analysis()
197 | execution_time = performance_tracker.end_timer("test")
198 |
199 | performance_tracker.assert_performance("test", max_time=30.0)
200 | ```
201 |
202 | ### 4. Error Handling Testing
203 |
204 | ```python
205 | async def test_service_failure_handling():
206 | with patch('service.api_call', side_effect=Exception("API Error")):
207 | result = await analyzer.analyze()
208 |
209 | assert result["status"] == "error"
210 | assert "API Error" in result["message"]
211 | ```
212 |
213 | ## Critical Test Requirements
214 |
215 | ### 🚨 Cost Constraint Tests MUST Pass
216 |
217 | The no-cost constraint validation tests are **mandatory** and **must pass** before any deployment:
218 |
219 | 1. **Forbidden Operation Detection**: Verify all cost-incurring S3 operations are blocked
220 | 2. **Data Source Validation**: Confirm all data sources are genuinely no-cost
221 | 3. **End-to-End Compliance**: Validate entire system respects cost constraints
222 | 4. **Bypass Prevention**: Ensure cost constraints cannot be circumvented
223 |
224 | ### Test Data Management
225 |
226 | - **No Real AWS Resources**: All tests use mocked AWS services
227 | - **Deterministic Data**: Test data is predictable and repeatable
228 | - **Edge Cases**: Include boundary conditions and error scenarios
229 | - **Realistic Scenarios**: Mock data reflects real AWS API responses
230 |
231 | ## Continuous Integration
232 |
233 | ### Pre-commit Hooks
234 |
235 | ```bash
236 | # Install pre-commit hooks
237 | pip install pre-commit
238 | pre-commit install
239 |
240 | # Run manually
241 | pre-commit run --all-files
242 | ```
243 |
244 | ### CI Pipeline Requirements
245 |
246 | 1. **All test suites must pass**
247 | 2. **Coverage threshold must be met**
248 | 3. **No-cost constraint tests are mandatory**
249 | 4. **Performance benchmarks must be within limits**
250 | 5. **No security vulnerabilities in dependencies**
251 |
252 | ## Troubleshooting
253 |
254 | ### Common Issues
255 |
256 | 1. **Import Errors**
257 | ```bash
258 | # Ensure PYTHONPATH includes project root
259 | export PYTHONPATH="${PYTHONPATH}:$(pwd)"
260 | ```
261 |
262 | 2. **AWS Credential Errors**
263 | ```bash
264 | # Use test credentials
265 | export AWS_ACCESS_KEY_ID=testing
266 | export AWS_SECRET_ACCESS_KEY=testing
267 | ```
268 |
269 | 3. **Timeout Issues**
270 | ```bash
271 | # Increase timeout for slow tests
272 | pytest --timeout=600
273 | ```
274 |
275 | 4. **Memory Issues**
276 | ```bash
277 | # Run tests with memory profiling
278 | pytest --memprof
279 | ```
280 |
281 | ### Debug Mode
282 |
283 | ```bash
284 | # Run with debug output
285 | pytest -v --tb=long --log-cli-level=DEBUG
286 |
287 | # Run single test with debugging
288 | pytest tests/unit/test_specific.py::TestClass::test_method -v -s
289 | ```
290 |
291 | ## Contributing to Tests
292 |
293 | ### Adding New Tests
294 |
295 | 1. **Choose appropriate test category** (unit/integration/performance/cost-validation)
296 | 2. **Follow naming conventions** (`test_*.py`, `Test*` classes, `test_*` methods)
297 | 3. **Use appropriate fixtures** from `conftest.py`
298 | 4. **Add proper markers** (`@pytest.mark.unit`, etc.)
299 | 5. **Include docstrings** explaining test purpose
300 | 6. **Validate cost constraints** if testing S3 operations
301 |
302 | ### Test Quality Guidelines
303 |
304 | - **One assertion per test** (when possible)
305 | - **Clear test names** that describe what is being tested
306 | - **Arrange-Act-Assert** pattern
307 | - **Mock external dependencies** completely
308 | - **Test both success and failure paths**
309 | - **Include edge cases and boundary conditions**
310 |
311 | ## Security Considerations
312 |
313 | - **No real AWS credentials** in test code
314 | - **No sensitive data** in test fixtures
315 | - **Secure mock data** that doesn't expose patterns
316 | - **Cost constraint validation** is mandatory
317 | - **Regular dependency updates** for security patches
318 |
319 | ## Reporting and Metrics
320 |
321 | ### Coverage Reports
322 |
323 | ```bash
324 | # Generate HTML coverage report
325 | pytest --cov=core --cov=services --cov-report=html
326 |
327 | # View report
328 | open htmlcov/index.html
329 | ```
330 |
331 | ### Performance Reports
332 |
333 | ```bash
334 | # Generate performance benchmark report
335 | pytest tests/performance/ --benchmark-only --benchmark-json=benchmark.json
336 | ```
337 |
338 | ### Test Reports
339 |
340 | ```bash
341 | # Generate comprehensive test report
342 | python tests/run_tests.py --report
343 |
344 | # View reports
345 | open test_report.html
346 | ```
347 |
348 | ---
349 |
350 | ## 🚨 Remember: Cost Constraint Compliance is Critical
351 |
352 | The primary purpose of this testing suite is to ensure that the S3 optimization system **never incurs costs** for customers. The no-cost constraint validation tests are the most important tests in this suite and must always pass.
353 |
354 | **Before any deployment or release:**
355 | 1. Run `python tests/run_tests.py --cost-validation`
356 | 2. Verify all cost constraint tests pass
357 | 3. Review any new S3 operations for cost implications
358 | 4. Update forbidden operations list if needed
359 |
360 | **Customer billing protection is our top priority.**
```
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
```markdown
1 | # CFM Tips - Cost Optimization MCP Server
2 |
3 | A comprehensive Model Context Protocol (MCP) server for AWS cost analysis and optimization recommendations, designed to work seamlessly with Amazon Q CLI and other MCP-compatible clients.
4 |
5 | ## ✅ Features
6 |
7 | ### Core AWS Services Integration
8 | - **Cost Explorer** - Retrieve cost data and usage metrics
9 | - **Cost Optimization Hub** - Get AWS cost optimization recommendations
10 | - **Compute Optimizer** - Right-sizing recommendations for compute resources
11 | - **Trusted Advisor** - Cost optimization checks and recommendations
12 | - **Performance Insights** - RDS performance metrics and analysis
13 |
14 | ### Cost Optimization Playbooks
15 | - 🔧 **EC2 Right Sizing** - Identify underutilized EC2 instances
16 | - 💾 **EBS Optimization** - Find unused and underutilized volumes
17 | - 🗄️ **RDS Optimization** - Identify idle and underutilized databases
18 | - ⚡ **Lambda Optimization** - Find overprovisioned and unused functions
19 | - 🪣 **S3 Optimization** - Comprehensive S3 cost analysis and storage class optimization
20 | - 📊 **CloudWatch Optimization** - Analyze logs, metrics, alarms, and dashboards for cost efficiency
21 | - 📋 **CloudTrail Optimization** - Analyze and optimize CloudTrail configurations
22 | - 📊 **Comprehensive Analysis** - Multi-service cost analysis
23 |
24 | ### Advanced Features
25 | - **Real CloudWatch Metrics** - Uses actual AWS metrics for analysis
26 | - **Multiple Output Formats** - JSON and Markdown report generation
27 | - **Cost Calculations** - Estimated savings and cost breakdowns
28 | - **Actionable Recommendations** - Priority-based optimization suggestions
29 |
30 | ## 📁 Project Structure
31 |
32 | ```
33 | sample-cfm-tips-mcp/
34 | ├── playbooks/ # CFM Tips optimization playbooks engine
35 | │ ├── s3_optimization.py # S3 cost optimization playbook
36 | │ ├── ec2_optimization.py # EC2 right-sizing playbook
37 | │ ├── ebs_optimization.py # EBS volume optimization playbook
38 | │ ├── rds_optimization.py # RDS database optimization playbook
39 | │ ├── lambda_optimization.py # Lambda function optimization playbook
40 | │ ├── cloudwatch_optimization.py # CloudWatch optimization playbook
41 | │ └── cloudtrail_optimization.py # CloudTrail optimization playbook
42 | ├── services/ # AWS Services as datasources for the cost optimization
43 | │ ├── s3_service.py # S3 API interactions and metrics
44 | │ ├── s3_pricing.py # S3 pricing calculations and cost modeling
45 | │ ├── cost_explorer.py # Cost Explorer API integration
46 | │ ├── compute_optimizer.py # Compute Optimizer API integration
47 | │ └── optimization_hub.py # Cost Optimization Hub integration
48 | ├── mcp_server_with_runbooks.py # Main MCP server
49 | ├── mcp_runbooks.json # Template file for MCP configuration file
50 | ├── requirements.txt # Python dependencies
51 | ├── test/ # Integration tests
52 | ├── diagnose_cost_optimization_hub_v2.py # Diagnostic utilities
53 | ├── RUNBOOKS_GUIDE.md # Detailed usage guide
54 | └── README.md # Project ReadMe
55 | ```
56 |
57 | ## 🔐 Security and Permissions - Least Privileges
58 |
59 | The MCP tools require specific AWS permissions to function.
60 | - **Create a read-only IAM role** - Restricts LLM agents from modifying AWS resources. This prevents unintended create, update, or delete actions.
61 | - **Enable CloudTrail** - Tracks API activity across your AWS account for security monitoring.
62 | - **Follow least-privilege principles** - Grant only essential read permissions (Describe*, List*, Get*) for required services.
63 |
64 | The below creates an IAM policy with for list, read and describe actions only:
65 |
66 | ```json
67 | {
68 | "Version": "2012-10-17",
69 | "Statement": [
70 | {
71 | "Effect": "Allow",
72 | "Action": [
73 | "cost-optimization-hub:ListEnrollmentStatuses",
74 | "cost-optimization-hub:ListRecommendations",
75 | "cost-optimization-hub:GetRecommendation",
76 | "cost-optimization-hub:ListRecommendationSummaries",
77 | "ce:GetCostAndUsage",
78 | "ce:GetCostForecast",
79 | "compute-optimizer:GetEC2InstanceRecommendations",
80 | "compute-optimizer:GetEBSVolumeRecommendations",
81 | "compute-optimizer:GetLambdaFunctionRecommendations",
82 | "ec2:DescribeInstances",
83 | "ec2:DescribeVolumes",
84 | "rds:DescribeDBInstances",
85 | "lambda:ListFunctions",
86 | "cloudwatch:GetMetricStatistics",
87 | "s3:ListBucket",
88 | "s3:ListObjectsV2",
89 | "s3:GetBucketLocation",
90 | "s3:GetBucketVersioning",
91 | "s3:GetBucketLifecycleConfiguration",
92 | "s3:GetBucketNotification",
93 | "s3:GetBucketTagging",
94 | "s3:ListMultipartUploads",
95 | "s3:GetStorageLensConfiguration",
96 | "support:DescribeTrustedAdvisorChecks",
97 | "support:DescribeTrustedAdvisorCheckResult",
98 | "pi:GetResourceMetrics",
99 | "cloudtrail:DescribeTrails",
100 | "cloudtrail:GetTrailStatus",
101 | "cloudtrail:GetEventSelectors",
102 | "pricing:GetProducts",
103 | "pricing:DescribeServices",
104 | "pricing:GetAttributeValues"
105 | ],
106 | "Resource": "*"
107 | }
108 | ]
109 | }
110 | ```
111 |
112 | ## 🛠️ Installation
113 |
114 | ### Prerequisites
115 | - **Python 3.11** or higher
116 | - AWS CLI configured with appropriate credentials
117 | - Amazon Kiro CLI (for MCP integration) - https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-installing.html
118 |
119 | ### Setup Steps
120 |
121 | 1. **Clone the Repository**
122 | ```bash
123 | git clone https://github.com/aws-samples/sample-cfm-tips-mcp.git
124 | cd sample-cfm-tips-mcp
125 | ```
126 |
127 | 2. **Install Dependencies**
128 | ```bash
129 | pip install -r requirements.txt
130 | ```
131 |
132 | 3. **Configure AWS Credentials**
133 | ```bash
134 | aws configure
135 | # Or set environment variables:
136 | # export AWS_ACCESS_KEY_ID=your_access_key
137 | # export AWS_SECRET_ACCESS_KEY=your_secret_key
138 | # export AWS_DEFAULT_REGION=us-east-1
139 | ```
140 |
141 | 4. **Apply IAM Permissions**
142 | - Create an IAM policy with the permissions listed above
143 | - Attach the policy to your IAM user or role
144 |
145 | 5. **Install the MCP Configurations**
146 | ```bash
147 | python3 setup.py
148 | ```
149 |
150 | 6. **Usage Option 1: Using the Kiro CLI Chat**
151 | ```bash
152 | kiro-cli
153 | Show me cost optimization recommendations
154 | ```
155 |
156 | 7. **Usage Option 2: Integrate with Amazon Q Developer Plugin or Kiro**
157 | - Open Amazon Q Developer Plugin on your IDE
158 | - Click on Chat -> 🛠️ Configure MCP Servers -> ➕ Add new MCP
159 | - Use the following configuration
160 | ```bash
161 | - Scope: Global
162 | - Name: cfm-tips
163 | - Transport: stdio
164 | - Command: python3
165 | - Arguments: <replace-with-path-to-folder>/mcp_server_with_runbooks.py
166 | - Timeout: 60
167 | ```
168 |
169 | ## 🔧 Available Tools
170 |
171 | ### Cost Analysis Tools
172 | - `get_cost_explorer_data` - Retrieve AWS cost and usage data
173 | - `list_coh_enrollment` - Check Cost Optimization Hub enrollment
174 | - `get_coh_recommendations` - Get cost optimization recommendations
175 | - `get_coh_summaries` - Get recommendation summaries
176 | - `get_compute_optimizer_recommendations` - Get compute optimization recommendations
177 |
178 | ### EC2 Optimization
179 | - `ec2_rightsizing` - Analyze EC2 instances for right-sizing opportunities
180 | - `ec2_report` - Generate detailed EC2 optimization reports
181 |
182 | ### EBS Optimization
183 | - `ebs_optimization` - Analyze EBS volumes for optimization
184 | - `ebs_unused` - Identify unused EBS volumes
185 | - `ebs_report` - Generate EBS optimization reports
186 |
187 | ### RDS Optimization
188 | - `rds_optimization` - Analyze RDS instances for optimization
189 | - `rds_idle` - Identify idle RDS instances
190 | - `rds_report` - Generate RDS optimization reports
191 |
192 | ### Lambda Optimization
193 | - `lambda_optimization` - Analyze Lambda functions for optimization
194 | - `lambda_unused` - Identify unused Lambda functions
195 | - `lambda_report` - Generate Lambda optimization reports
196 |
197 | ### S3 Optimization
198 | - `s3_general_spend_analysis` - Analyze overall S3 spending patterns and usage
199 | - `s3_storage_class_selection` - Get guidance on choosing cost-effective storage classes
200 | - `s3_storage_class_validation` - Validate existing data storage class appropriateness
201 | - `s3_archive_optimization` - Identify and optimize long-term archive data storage
202 | - `s3_api_cost_minimization` - Minimize S3 API request charges through optimization
203 | - `s3_multipart_cleanup` - Identify and clean up incomplete multipart uploads
204 | - `s3_governance_check` - Implement S3 cost controls and governance compliance
205 | - `s3_comprehensive_analysis` - Run comprehensive S3 cost optimization analysis
206 |
207 | ### CloudWatch Optimization
208 | - `cloudwatch_general_spend_analysis` - Analyze CloudWatch cost breakdown across logs, metrics, alarms, and dashboards
209 | - `cloudwatch_metrics_optimization` - Identify custom metrics cost optimization opportunities
210 | - `cloudwatch_logs_optimization` - Analyze log retention and ingestion cost optimization
211 | - `cloudwatch_alarms_and_dashboards_optimization` - Identify monitoring efficiency improvements
212 | - `cloudwatch_comprehensive_optimization_tool` - Run comprehensive CloudWatch optimization with intelligent orchestration
213 | - `get_cloudwatch_cost_estimate` - Get detailed cost estimate for CloudWatch optimization analysis
214 |
215 | ### CloudTrail Optimization
216 | - `get_management_trails` - Get CloudTrail management trails
217 | - `run_cloudtrail_trails_analysis` - Run CloudTrail trails analysis for optimization
218 | - `generate_cloudtrail_report` - Generate CloudTrail optimization reports
219 |
220 | ### Comprehensive Analysis
221 | - `comprehensive_analysis` - Multi-service cost analysis
222 |
223 | ### Additional Tools
224 | - `get_trusted_advisor_checks` - Get Trusted Advisor recommendations
225 | - `get_performance_insights_metrics` - Get RDS Performance Insights data
226 |
227 | ## 📊 Example Usage
228 |
229 | ### Basic Cost Analysis
230 | ```
231 | "Get my AWS costs for the last month"
232 | "Show me cost optimization recommendations"
233 | "What are my biggest cost drivers?"
234 | ```
235 |
236 | ### Resource Optimization
237 | ```
238 | "Find underutilized EC2 instances in us-east-1"
239 | "Show me unused EBS volumes that I can delete"
240 | "Identify idle RDS databases"
241 | "Find unused Lambda functions"
242 | "Analyze my S3 storage costs and recommend optimizations"
243 | "Find incomplete multipart uploads in my S3 buckets"
244 | "Recommend the best S3 storage class for my data"
245 | "Analyze my CloudWatch logs and metrics for cost optimization"
246 | "Show me CloudWatch alarms that can be optimized"
247 | ```
248 |
249 | ### Report Generation
250 | ```
251 | "Generate a comprehensive cost optimization report"
252 | "Create an EC2 right-sizing report in markdown format"
253 | "Generate an EBS optimization report with cost savings"
254 | ```
255 |
256 | ### Multi-Service Analysis
257 | ```
258 | "Run comprehensive cost analysis for all services in us-east-1"
259 | "Analyze my AWS infrastructure for cost optimization opportunities"
260 | "Show me immediate cost savings opportunities"
261 | "Generate a comprehensive S3 optimization report"
262 | "Analyze my S3 spending patterns and storage class efficiency"
263 | ```
264 |
265 | ## 🔍 Troubleshooting
266 |
267 | ### Common Issues
268 |
269 | 1. **Cost Optimization Hub Not Working**
270 | ```bash
271 | python3 diagnose_cost_optimization_hub_v2.py
272 | ```
273 |
274 | 2. **No Metrics Found**
275 | - Ensure resources have been running for at least 14 days
276 | - Verify CloudWatch metrics are enabled
277 | - Check that you're analyzing the correct region
278 |
279 | 3. **Permission Errors**
280 | - Verify IAM permissions are correctly applied
281 | - Check AWS credentials configuration
282 | - Ensure Cost Optimization Hub is enabled in AWS Console
283 |
284 | 4. **Import Errors**
285 | ```bash
286 | # Check Python path and dependencies
287 | python3 -c "import boto3, mcp; print('Dependencies OK')"
288 | ```
289 |
290 | ### Getting Help
291 |
292 | - Check the [RUNBOOKS_GUIDE.md](RUNBOOKS_GUIDE.md) for detailed usage instructions
293 | - Run the diagnostic script: `python3 diagnose_cost_optimization_hub_v2.py`
294 | - Run integration tests: `python3 test_runbooks.py`
295 |
296 | ## 🧩 Add-on MCPs
297 | Add-on AWS Pricing MCP Server MCP server for accessing real-time AWS pricing information and providing cost analysis capabilities
298 | https://github.com/awslabs/mcp/tree/main/src/aws-pricing-mcp-server
299 |
300 | ```bash
301 | # Example usage with Add-on AWS Pricing MCP Server:
302 | "Review the CDK by comparing it to the actual spend from my AWS account's stackset. Suggest cost optimization opportunities for the app accordingly"
303 | ```
304 |
305 | ## 🪣 S3 Optimization Features
306 |
307 | The S3 optimization module provides comprehensive cost analysis and optimization recommendations:
308 |
309 | ### Storage Class Optimization
310 | - **Intelligent Storage Class Selection** - Get recommendations for the most cost-effective storage class based on access patterns
311 | - **Storage Class Validation** - Analyze existing data to ensure optimal storage class usage
312 | - **Cost Breakeven Analysis** - Calculate when to transition between storage classes
313 | - **Archive Optimization** - Identify long-term data suitable for Glacier or Deep Archive
314 |
315 | ### Cost Analysis & Monitoring
316 | - **General Spend Analysis** - Comprehensive S3 spending pattern analysis over 12 months
317 | - **Bucket-Level Cost Ranking** - Identify highest-cost buckets and optimization opportunities
318 | - **Usage Type Breakdown** - Analyze costs by storage, requests, and data transfer
319 | - **Regional Cost Distribution** - Understand spending across AWS regions
320 |
321 | ### Operational Optimization
322 | - **Multipart Upload Cleanup** - Identify and eliminate incomplete multipart uploads
323 | - **API Cost Minimization** - Optimize request patterns to reduce API charges
324 | - **Governance Compliance** - Implement cost controls and policy compliance checking
325 | - **Lifecycle Policy Recommendations** - Automated suggestions for lifecycle transitions
326 |
327 | ### Advanced Analytics
328 | - **Real-Time Pricing Integration** - Uses AWS Price List API for accurate cost calculations
329 | - **Trend Analysis** - Identify spending growth patterns and anomalies
330 | - **Efficiency Metrics** - Calculate cost per GB and storage efficiency ratios
331 | - **Comprehensive Reporting** - Generate detailed optimization reports in JSON or Markdown
332 |
333 | ## 🎯 Key Benefits
334 |
335 | - **Immediate Cost Savings** - Identify unused resources for deletion
336 | - **Right-Sizing Opportunities** - Optimize overprovisioned resources
337 | - **Real Metrics Analysis** - Uses actual CloudWatch data
338 | - **Actionable Reports** - Clear recommendations with cost estimates
339 | - **Comprehensive Coverage** - Analyze EC2, EBS, RDS, Lambda, S3, and more
340 | - **Easy Integration** - Works seamlessly with Amazon Q CLI
341 |
342 | ## 📈 Expected Results
343 |
344 | The CFM Tips cost optimization server can help you:
345 |
346 | - **Identify cost savings** on average across all AWS services
347 | - **Find unused resources** costing hundreds of dollars monthly
348 | - **Right-size overprovisioned instances** for optimal performance/cost ratio
349 | - **Optimize storage costs** through volume type and storage class recommendations
350 | - **Eliminate idle resources** that provide no business value
351 | - **Reduce S3 costs by 30-60%** through intelligent storage class transitions
352 | - **Clean up storage waste** from incomplete multipart uploads and orphaned data
353 | - **Optimize API request patterns** to minimize S3 request charges
354 | - **Reduce CloudWatch costs** through log retention and metrics optimization
355 | - **Eliminate unused alarms and dashboards** reducing monitoring overhead
356 |
357 | ## 🤝 Contributing
358 |
359 | We welcome contributions! Please see our contributing guidelines:
360 |
361 | 1. Fork the repository
362 | 2. Create a feature branch
363 | 3. Make your changes
364 | 4. Add tests for new functionality
365 | 5. Submit a pull request
366 |
367 | ## 📄 License
368 |
369 | This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
370 |
371 | ---
372 |
```
--------------------------------------------------------------------------------
/CODE_OF_CONDUCT.md:
--------------------------------------------------------------------------------
```markdown
1 | ## Code of Conduct
2 | This project has adopted the [Amazon Open Source Code of Conduct](https://aws.github.io/code-of-conduct).
3 | For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq) or contact
4 | [email protected] with any additional questions or comments.
5 |
```
--------------------------------------------------------------------------------
/CONTRIBUTING.md:
--------------------------------------------------------------------------------
```markdown
1 | # Contributing to CFM Tips AWS Cost Optimization MCP Server
2 |
3 | We welcome contributions to the CFM Tips AWS Cost Optimization MCP Server! This document provides guidelines for contributing to the project.
4 |
5 | ## 🤝 How to Contribute
6 |
7 | ### Reporting Issues
8 |
9 | 1. **Search existing issues** first to avoid duplicates
10 | 2. **Use the issue template** when creating new issues
11 | 3. **Provide detailed information** including:
12 | - AWS region and services affected
13 | - Error messages and logs
14 | - Steps to reproduce
15 | - Expected vs actual behavior
16 |
17 | ### Suggesting Features
18 |
19 | 1. **Check existing feature requests** to avoid duplicates
20 | 2. **Describe the use case** and business value
21 | 3. **Provide implementation ideas** if you have them
22 | 4. **Consider backward compatibility**
23 |
24 | ### Code Contributions
25 |
26 | #### Prerequisites
27 |
28 | - Python 3.11 or higher
29 | - AWS CLI configured with test credentials
30 | - Familiarity with MCP (Model Context Protocol)
31 | - Understanding of AWS cost optimization concepts
32 |
33 | #### Development Setup
34 |
35 | 1. **Fork the repository**
36 | ```bash
37 | git clone https://github.com/aws-samples/sample-cfm-tips-mcp.git
38 | cd sample-cfm-tips-mcp
39 | ```
40 |
41 | 2. **Create a virtual environment**
42 | ```bash
43 | python3 -m venv venv
44 | source venv/bin/activate # On Windows: venv\Scripts\activate
45 | ```
46 |
47 | 3. **Install dependencies**
48 | ```bash
49 | pip install -r requirements.txt
50 | pip install -r requirements_dev.txt # If available
51 | ```
52 |
53 | 4. **Run tests**
54 | ```bash
55 | python3 test_runbooks.py
56 | ```
57 |
58 | #### Making Changes
59 |
60 | 1. **Create a feature branch**
61 | ```bash
62 | git checkout -b feature/your-feature-name
63 | ```
64 |
65 | 2. **Make your changes**
66 | - Follow existing code style and patterns
67 | - Add docstrings to new functions
68 | - Include error handling
69 | - Update documentation as needed
70 |
71 | 3. **Test your changes**
72 | ```bash
73 | # Run integration tests
74 | python3 test_runbooks.py
75 |
76 | # Test specific functionality
77 | python3 -c "from runbook_functions import your_function; print('OK')"
78 |
79 | # Test with Amazon Q (if possible)
80 | q chat
81 | ```
82 |
83 | 4. **Update documentation**
84 | - Update README.md if needed
85 | - Update RUNBOOKS_GUIDE.md for new features
86 | - Add examples for new tools
87 |
88 | #### Code Style Guidelines
89 |
90 | - **Follow PEP 8** Python style guidelines
91 | - **Use descriptive variable names**
92 | - **Add type hints** where appropriate
93 | - **Include docstrings** for all functions
94 | - **Handle errors gracefully** with informative messages
95 | - **Use async/await** for MCP tool functions
96 |
97 | #### Example Code Structure
98 |
99 | ```python
100 | async def your_new_tool(arguments: Dict[str, Any]) -> List[TextContent]:
101 | """
102 | Brief description of what the tool does.
103 |
104 | Args:
105 | arguments: Dictionary containing tool parameters
106 |
107 | Returns:
108 | List of TextContent with results
109 | """
110 | try:
111 | # Validate inputs
112 | region = arguments.get("region")
113 | if not region:
114 | return [TextContent(type="text", text="Error: region parameter is required")]
115 |
116 | # Create AWS client
117 | client = boto3.client('service-name', region_name=region)
118 |
119 | # Make API calls
120 | response = client.some_api_call()
121 |
122 | # Process results
123 | result = {
124 | "status": "success",
125 | "data": response,
126 | "message": "Operation completed successfully"
127 | }
128 |
129 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
130 |
131 | except ClientError as e:
132 | error_msg = f"AWS API Error: {e.response['Error']['Code']} - {e.response['Error']['Message']}"
133 | return [TextContent(type="text", text=f"Error: {error_msg}")]
134 | except Exception as e:
135 | return [TextContent(type="text", text=f"Error: {str(e)}")]
136 | ```
137 |
138 | #### Adding New Tools
139 |
140 | 1. **Add tool definition** to `list_tools()` in `mcp_server_with_runbooks.py`
141 | 2. **Add tool handler** to `call_tool()` function
142 | 3. **Implement tool function** in `runbook_functions.py`
143 | 4. **Add tests** for the new functionality
144 | 5. **Update documentation**
145 |
146 | #### Submitting Changes
147 |
148 | 1. **Commit your changes**
149 | ```bash
150 | git add .
151 | git commit -m "feat: add new cost optimization tool for XYZ"
152 | ```
153 |
154 | 2. **Push to your fork**
155 | ```bash
156 | git push origin feature/your-feature-name
157 | ```
158 |
159 | 3. **Create a Pull Request**
160 | - Use a descriptive title
161 | - Explain what the PR does and why
162 | - Reference any related issues
163 | - Include testing instructions
164 |
165 | ## 📋 Pull Request Guidelines
166 |
167 | ### PR Title Format
168 | - `feat:` for new features
169 | - `fix:` for bug fixes
170 | - `docs:` for documentation changes
171 | - `refactor:` for code refactoring
172 | - `test:` for test additions/changes
173 |
174 | ### PR Description Should Include
175 | - **What** the PR does
176 | - **Why** the change is needed
177 | - **How** to test the changes
178 | - **Screenshots** if UI changes are involved
179 | - **Breaking changes** if any
180 |
181 | ### Review Process
182 | 1. **Automated checks** must pass
183 | 2. **Code review** by maintainers
184 | 3. **Testing** in different environments
185 | 4. **Documentation** review if applicable
186 |
187 | ## 🧪 Testing Guidelines
188 |
189 | ### Integration Tests
190 | - All existing tests must pass
191 | - Add tests for new functionality
192 | - Test with real AWS resources when possible
193 | - Include error case testing
194 |
195 | ### Manual Testing
196 | - Test with Amazon Q CLI
197 | - Verify tool responses are properly formatted
198 | - Check error handling with invalid inputs
199 | - Test in different AWS regions
200 |
201 | ## 📚 Documentation Standards
202 |
203 | ### Code Documentation
204 | - **Docstrings** for all public functions
205 | - **Inline comments** for complex logic
206 | - **Type hints** for function parameters and returns
207 |
208 | ### User Documentation
209 | - **Clear examples** for new tools
210 | - **Parameter descriptions** with types and defaults
211 | - **Error scenarios** and troubleshooting tips
212 | - **Use cases** and expected outcomes
213 |
214 | ## 🏷️ Release Process
215 |
216 | 1. **Version bumping** follows semantic versioning
217 | 2. **Changelog** is updated with new features and fixes
218 | 3. **Documentation** is updated for new releases
219 | 4. **Testing** is performed across different environments
220 |
221 | ## 🆘 Getting Help
222 |
223 | - **GitHub Issues** for bugs and feature requests
224 | - **GitHub Discussions** for questions and ideas
225 | - **Documentation** for usage guidelines
226 | - **Code comments** for implementation details
227 |
228 | ## 📜 Code of Conduct
229 |
230 | - Be respectful and inclusive
231 | - Focus on constructive feedback
232 | - Help others learn and grow
233 | - Follow the project's coding standards
234 |
235 | ## 🙏 Recognition
236 |
237 | Contributors will be recognized in:
238 | - README.md contributors section
239 | - Release notes for significant contributions
240 | - GitHub contributor graphs
241 |
242 | Thank you for contributing to CFM Tips AWS Cost Optimization MCP Server!
243 |
```
--------------------------------------------------------------------------------
/tests/legacy/test_metrics_pagination_count.py:
--------------------------------------------------------------------------------
```python
1 |
```
--------------------------------------------------------------------------------
/tests/legacy/test_pricing_cache_fix_moved.py:
--------------------------------------------------------------------------------
```python
1 |
```
--------------------------------------------------------------------------------
/tests/unit/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # Unit tests package
```
--------------------------------------------------------------------------------
/tests/integration/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # Integration tests package
```
--------------------------------------------------------------------------------
/tests/performance/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # Performance tests package
```
--------------------------------------------------------------------------------
/tests/unit/services/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # Service unit tests package
```
--------------------------------------------------------------------------------
/tests/unit/analyzers/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # Analyzer unit tests package
```
--------------------------------------------------------------------------------
/tests/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # Test package for S3 Optimization System
```
--------------------------------------------------------------------------------
/playbooks/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # AWS Cost Optimization Playbooks package
2 |
```
--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
```
1 | mcp>=1.0.0
2 | boto3>=1.28.0
3 | botocore>=1.31.0
4 | psutil>=5.8.0
5 |
```
--------------------------------------------------------------------------------
/services/__init__.py:
--------------------------------------------------------------------------------
```python
1 | # AWS Cost Analysis MCP Server services package
2 |
3 | from .storage_lens_service import StorageLensService
4 |
5 | __all__ = ['StorageLensService']
6 |
```
--------------------------------------------------------------------------------
/playbooks/cloudtrail/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | CloudTrail optimization playbooks
3 |
4 | This package contains CloudTrail-specific cost optimization playbooks including
5 | trail analysis and logging cost optimization.
6 | """
```
--------------------------------------------------------------------------------
/playbooks/aws_lambda/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Lambda optimization playbooks
3 |
4 | This package contains Lambda-specific cost optimization playbooks including
5 | memory optimization and unused function identification.
6 | """
```
--------------------------------------------------------------------------------
/playbooks/rds/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | RDS optimization playbooks
3 |
4 | This package contains RDS-specific cost optimization playbooks including
5 | database right-sizing and performance optimization recommendations.
6 | """
```
--------------------------------------------------------------------------------
/playbooks/ebs/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | EBS optimization playbooks
3 |
4 | This package contains EBS-specific cost optimization playbooks including
5 | volume utilization analysis and storage optimization recommendations.
6 | """
```
--------------------------------------------------------------------------------
/playbooks/ec2/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | EC2 optimization playbooks
3 |
4 | This package contains EC2-specific cost optimization playbooks including
5 | right-sizing, instance type recommendations, and utilization analysis.
6 | """
```
--------------------------------------------------------------------------------
/utils/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Utilities package for CFM Tips MCP Server
3 |
4 | This package contains utility modules for logging, performance monitoring,
5 | session management, and other cross-cutting concerns.
6 | """
```
--------------------------------------------------------------------------------
/playbooks/s3/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | S3 optimization playbooks
3 |
4 | This package contains S3-specific cost optimization playbooks including
5 | storage class optimization, lifecycle policies, and unused resource cleanup.
6 | """
```
--------------------------------------------------------------------------------
/tests/requirements-test.txt:
--------------------------------------------------------------------------------
```
1 | # Testing dependencies for S3 optimization system
2 |
3 | # Core testing framework
4 | pytest>=7.0.0
5 | pytest-asyncio>=0.21.0
6 | pytest-cov>=4.0.0
7 | pytest-mock>=3.10.0
8 | pytest-timeout>=2.1.0
9 |
10 | # AWS mocking
11 | moto[s3,cloudwatch,ce,s3control]>=4.2.0
12 | boto3>=1.28.0
13 | botocore>=1.31.0
14 |
15 | # Performance testing
16 | pytest-benchmark>=4.0.0
17 | memory-profiler>=0.60.0
18 |
19 | # Parallel testing (optional)
20 | pytest-xdist>=3.0.0
21 |
22 | # Test reporting
23 | pytest-html>=3.1.0
24 | pytest-json-report>=1.5.0
25 |
26 | # Code quality
27 | flake8>=5.0.0
28 | black>=22.0.0
29 | isort>=5.10.0
30 |
31 | # Type checking
32 | mypy>=1.0.0
33 | types-boto3>=1.0.0
34 |
35 | # Additional utilities
36 | freezegun>=1.2.0 # For time-based testing
37 | responses>=0.23.0 # For HTTP mocking
38 | factory-boy>=3.2.0 # For test data generation
```
--------------------------------------------------------------------------------
/playbooks/s3/analyzers/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | S3 Optimization Analyzers Package
3 |
4 | This package contains all S3 optimization analyzers that extend BaseAnalyzer.
5 | Each analyzer focuses on a specific aspect of S3 cost optimization.
6 | """
7 |
8 | from .general_spend_analyzer import GeneralSpendAnalyzer
9 | from .storage_class_analyzer import StorageClassAnalyzer
10 | from .archive_optimization_analyzer import ArchiveOptimizationAnalyzer
11 | from .api_cost_analyzer import ApiCostAnalyzer
12 | from .multipart_cleanup_analyzer import MultipartCleanupAnalyzer
13 | from .governance_analyzer import GovernanceAnalyzer
14 |
15 | __all__ = [
16 | 'GeneralSpendAnalyzer',
17 | 'StorageClassAnalyzer',
18 | 'ArchiveOptimizationAnalyzer',
19 | 'ApiCostAnalyzer',
20 | 'MultipartCleanupAnalyzer',
21 | 'GovernanceAnalyzer'
22 | ]
```
--------------------------------------------------------------------------------
/mcp_runbooks.json:
--------------------------------------------------------------------------------
```json
1 | {
2 | "mcpServers": {
3 | "cfm-tips": {
4 | "command": "python3",
5 | "args": [
6 | "<replace-with-project-folder-path>/mcp_server_with_runbooks.py"
7 | ],
8 | "env": {
9 | "AWS_DEFAULT_REGION": "us-east-1",
10 | "AWS_PROFILE": "<replace-with-your-aws-profile>",
11 | "PYTHONPATH": "<replace-with-project-folder-path>"
12 | },
13 | "disabled": false,
14 | "autoApprove": []
15 | },
16 | "awslabs.aws-pricing-mcp-server": {
17 | "command": "uvx",
18 | "args": [
19 | "awslabs.aws-pricing-mcp-server@latest"
20 | ],
21 | "env": {
22 | "FASTMCP_LOG_LEVEL": "ERROR",
23 | "AWS_PROFILE": "<replace-with-your-aws-profile>",
24 | "AWS_REGION": "us-east-1"
25 | },
26 | "disabled": false,
27 | "autoApprove": []
28 | }
29 | }
30 | }
```
--------------------------------------------------------------------------------
/playbooks/cloudwatch/__init__.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | CloudWatch Optimization Playbook for CFM Tips MCP Server
3 |
4 | Provides comprehensive CloudWatch cost analysis and optimization recommendations.
5 | """
6 |
7 | from .optimization_orchestrator import CloudWatchOptimizationOrchestrator
8 | from .base_analyzer import BaseAnalyzer
9 | from .cloudwatch_optimization import (
10 | run_cloudwatch_general_spend_analysis_mcp,
11 | run_cloudwatch_metrics_optimization_mcp,
12 | run_cloudwatch_logs_optimization_mcp,
13 | run_cloudwatch_alarms_and_dashboards_optimization_mcp,
14 | run_cloudwatch_comprehensive_optimization_tool_mcp,
15 | query_cloudwatch_analysis_results_mcp,
16 | validate_cloudwatch_cost_preferences_mcp,
17 | get_cloudwatch_cost_estimate_mcp
18 | )
19 |
20 | __all__ = [
21 | 'CloudWatchOptimizationOrchestrator',
22 | 'BaseAnalyzer',
23 | 'run_cloudwatch_general_spend_analysis_mcp',
24 | 'run_cloudwatch_metrics_optimization_mcp',
25 | 'run_cloudwatch_logs_optimization_mcp',
26 | 'run_cloudwatch_alarms_and_dashboards_optimization_mcp',
27 | 'run_cloudwatch_comprehensive_optimization_tool_mcp',
28 | 'query_cloudwatch_analysis_results_mcp',
29 | 'validate_cloudwatch_cost_preferences_mcp',
30 | 'get_cloudwatch_cost_estimate_mcp'
31 | ]
```
--------------------------------------------------------------------------------
/tests/unit/s3/live/test_bucket_listing.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Simple test to verify S3 bucket listing works.
3 | """
4 |
5 | import asyncio
6 | import boto3
7 |
8 |
9 | async def test_list_buckets():
10 | """Test basic S3 bucket listing."""
11 |
12 | s3_client = boto3.client('s3')
13 |
14 | try:
15 | response = s3_client.list_buckets()
16 | buckets = response.get('Buckets', [])
17 |
18 | print(f"\n=== Found {len(buckets)} S3 Buckets ===")
19 |
20 | for bucket in buckets[:10]: # Show first 10
21 | bucket_name = bucket['Name']
22 | creation_date = bucket['CreationDate']
23 |
24 | # Try to get bucket location
25 | try:
26 | location_response = s3_client.get_bucket_location(Bucket=bucket_name)
27 | region = location_response.get('LocationConstraint') or 'us-east-1'
28 | except Exception as e:
29 | region = f"Error: {str(e)}"
30 |
31 | print(f"\nBucket: {bucket_name}")
32 | print(f" Region: {region}")
33 | print(f" Created: {creation_date}")
34 |
35 | return len(buckets)
36 |
37 | except Exception as e:
38 | print(f"\nError listing buckets: {str(e)}")
39 | return 0
40 |
41 |
42 | if __name__ == "__main__":
43 | count = asyncio.run(test_list_buckets())
44 | print(f"\n\nTotal buckets: {count}")
45 |
```
--------------------------------------------------------------------------------
/tests/unit/cloudwatch/test_cloudwatch_unit_suite.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | CloudWatch Unit Test Suite Runner
4 |
5 | Runs all CloudWatch unit tests including pagination tests.
6 | """
7 |
8 | import pytest
9 | import sys
10 | import os
11 |
12 | # Add the project root to the path
13 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../..'))
14 |
15 |
16 | class TestCloudWatchUnitSuite:
17 | """CloudWatch unit test suite runner."""
18 |
19 | def test_run_all_cloudwatch_unit_tests(self):
20 | """Run all CloudWatch unit tests."""
21 | # Get the directory containing this file
22 | test_dir = os.path.dirname(__file__)
23 |
24 | # Run all test files in the cloudwatch unit test directory, excluding this suite runner
25 | exit_code = pytest.main([
26 | test_dir,
27 | '-v',
28 | '--tb=short',
29 | '--disable-warnings',
30 | '--ignore=' + __file__ # Exclude this suite runner to prevent recursion
31 | ])
32 |
33 | assert exit_code == 0, "CloudWatch unit tests failed"
34 |
35 |
36 | if __name__ == '__main__':
37 | # Run the CloudWatch unit test suite
38 | test_dir = os.path.dirname(__file__)
39 | exit_code = pytest.main([
40 | test_dir,
41 | '-v',
42 | '--tb=short',
43 | '--ignore=' + __file__ # Exclude this suite runner to prevent recursion
44 | ])
45 |
46 | sys.exit(exit_code)
```
--------------------------------------------------------------------------------
/tests/pytest.ini:
--------------------------------------------------------------------------------
```
1 | [tool:pytest]
2 | # Pytest configuration for S3 optimization testing
3 |
4 | # Test discovery
5 | testpaths = tests
6 | python_files = test_*.py
7 | python_classes = Test*
8 | python_functions = test_*
9 |
10 | # Markers
11 | markers =
12 | unit: Unit tests with mocked dependencies
13 | integration: Integration tests with multiple components
14 | performance: Performance and load tests
15 | no_cost_validation: Critical tests for cost constraint validation
16 | slow: Tests that take longer to run
17 | aws: Tests that require AWS credentials (skipped by default)
18 | cloudwatch: CloudWatch-specific tests
19 |
20 | # Output and reporting
21 | addopts =
22 | --verbose
23 | --tb=short
24 | --strict-markers
25 | --strict-config
26 | --disable-warnings
27 | --color=yes
28 | --durations=10
29 | --cov=core
30 | --cov=services
31 | --cov-report=term-missing
32 | --cov-report=html:htmlcov
33 | --cov-fail-under=80
34 |
35 | # Async support
36 | asyncio_mode = auto
37 |
38 | # Logging
39 | log_cli = true
40 | log_cli_level = INFO
41 | log_cli_format = %(asctime)s [%(levelname)8s] %(name)s: %(message)s
42 | log_cli_date_format = %Y-%m-%d %H:%M:%S
43 |
44 | # Warnings
45 | filterwarnings =
46 | ignore::DeprecationWarning
47 | ignore::PendingDeprecationWarning
48 | ignore::UserWarning:boto3.*
49 | ignore::UserWarning:botocore.*
50 |
51 | # Minimum Python version
52 | minversion = 3.8
53 |
54 | # Test timeout (in seconds)
55 | timeout = 300
56 |
57 | # Parallel execution
58 | # addopts = -n auto # Uncomment to enable parallel execution with pytest-xdist
```
--------------------------------------------------------------------------------
/tests/unit/cloudwatch/test_import_error.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Test to replicate the CloudWatchServiceFactory import error.
3 |
4 | This test verifies that the import error occurs when trying to import
5 | CloudWatchServiceFactory from services.cloudwatch_service.
6 | """
7 |
8 | import pytest
9 |
10 |
11 | def test_cloudwatch_service_factory_import_error():
12 | """Test that CloudWatchServiceFactory import fails as expected."""
13 | with pytest.raises(ImportError, match="cannot import name 'CloudWatchServiceFactory'"):
14 | from services.cloudwatch_service import CloudWatchServiceFactory
15 |
16 |
17 | def test_cloudwatch_optimization_analyzer_import_success():
18 | """Test that CloudWatchOptimizationAnalyzer import now works after fix."""
19 | from playbooks.cloudwatch.cloudwatch_optimization_analyzer import CloudWatchOptimizationAnalyzer
20 | assert CloudWatchOptimizationAnalyzer is not None
21 |
22 |
23 | def test_correct_imports_work():
24 | """Test that correct imports from cloudwatch_service work."""
25 | from services.cloudwatch_service import (
26 | CWGeneralSpendTips,
27 | CWMetricsTips,
28 | CWLogsTips,
29 | CWAlarmsTips,
30 | CWDashboardTips,
31 | CloudWatchService,
32 | create_cloudwatch_service
33 | )
34 |
35 | # Verify all imports are classes/functions
36 | assert CWGeneralSpendTips is not None
37 | assert CWMetricsTips is not None
38 | assert CWLogsTips is not None
39 | assert CWAlarmsTips is not None
40 | assert CWDashboardTips is not None
41 | assert CloudWatchService is not None
42 | assert create_cloudwatch_service is not None
43 |
```
--------------------------------------------------------------------------------
/tests/legacy/test_cloudwatch_timeout_issue.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Test to replicate the CloudWatch timeout issue and verify stack trace reporting.
4 | """
5 |
6 | import asyncio
7 | import json
8 | import traceback
9 | import sys
10 | import os
11 |
12 | # Add the project root to the path
13 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
14 |
15 | from runbook_functions import run_cloudwatch_general_spend_analysis
16 |
17 |
18 | async def test_cloudwatch_timeout():
19 | """Test CloudWatch general spend analysis to replicate timeout issue."""
20 | print("Testing CloudWatch general spend analysis timeout issue...")
21 |
22 | try:
23 | # Test with minimal parameters that should trigger the timeout
24 | arguments = {
25 | "region": "us-east-1",
26 | "lookback_days": 7,
27 | "page": 1
28 | }
29 |
30 | print(f"Calling run_cloudwatch_general_spend_analysis with: {arguments}")
31 |
32 | # This should timeout and we should get a full stack trace
33 | result = await run_cloudwatch_general_spend_analysis(arguments)
34 |
35 | print("Result received:")
36 | for content in result:
37 | print(content.text)
38 |
39 | return True
40 |
41 | except Exception as e:
42 | print(f"Exception caught in test: {str(e)}")
43 | print("Full stack trace:")
44 | traceback.print_exc()
45 | return False
46 |
47 |
48 | if __name__ == "__main__":
49 | success = asyncio.run(test_cloudwatch_timeout())
50 | if success:
51 | print("✅ Test completed successfully")
52 | else:
53 | print("❌ Test failed")
54 | sys.exit(1)
```
--------------------------------------------------------------------------------
/tests/unit/test_unit_suite.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Unit Test Suite Runner - Second Level Suite
4 | Runs all unit tests across all playbooks.
5 | """
6 |
7 | import pytest
8 | import sys
9 | import os
10 |
11 | # Add the project root to the path
12 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../..'))
13 |
14 |
15 | def run_unit_tests():
16 | """Run all unit tests across all playbooks."""
17 | print("🧪 Running Unit Test Suite")
18 | print("=" * 50)
19 |
20 | # Define test directories for each playbook (relative to tests directory)
21 | base_dir = os.path.dirname(os.path.dirname(__file__)) # Go up to tests directory
22 | test_dirs = [
23 | os.path.join(base_dir, "unit/cloudwatch/"),
24 | os.path.join(base_dir, "unit/ec2/"),
25 | os.path.join(base_dir, "unit/s3/"),
26 | # Add other playbooks as they are organized
27 | ]
28 |
29 | # Filter to only existing directories
30 | existing_dirs = [d for d in test_dirs if os.path.exists(d)]
31 |
32 | if not existing_dirs:
33 | print("❌ No unit test directories found")
34 | return False
35 |
36 | print(f"Running unit tests from: {existing_dirs}")
37 |
38 | # Run pytest on all unit test directories
39 | exit_code = pytest.main([
40 | "-v",
41 | "--tb=short",
42 | "--color=yes",
43 | *existing_dirs
44 | ])
45 |
46 | success = exit_code == 0
47 |
48 | if success:
49 | print("\n🎉 ALL UNIT TESTS PASSED!")
50 | else:
51 | print(f"\n❌ UNIT TESTS FAILED (exit code: {exit_code})")
52 |
53 | return success
54 |
55 |
56 | if __name__ == "__main__":
57 | success = run_unit_tests()
58 | sys.exit(0 if success else 1)
```
--------------------------------------------------------------------------------
/tests/pytest-cloudwatch.ini:
--------------------------------------------------------------------------------
```
1 | [tool:pytest]
2 | # CloudWatch optimization testing configuration
3 |
4 | # Test discovery
5 | testpaths = .
6 | python_files = test_*.py *_test.py
7 | python_classes = Test*
8 | python_functions = test_*
9 |
10 | # Markers
11 | markers =
12 | unit: Unit tests
13 | integration: Integration tests
14 | performance: Performance tests
15 | no_cost_validation: Tests that validate no unexpected costs
16 | cloudwatch: CloudWatch-specific tests
17 | slow: Slow running tests
18 | asyncio: Async tests
19 |
20 | # Async support
21 | asyncio_mode = auto
22 |
23 | # Output options
24 | addopts =
25 | --strict-markers
26 | --strict-config
27 | --tb=short
28 | --maxfail=10
29 | --durations=10
30 | -ra
31 |
32 | # Logging
33 | log_cli = true
34 | log_cli_level = INFO
35 | log_cli_format = %(asctime)s [%(levelname)8s] %(name)s: %(message)s
36 | log_cli_date_format = %Y-%m-%d %H:%M:%S
37 |
38 | # Warnings
39 | filterwarnings =
40 | ignore::DeprecationWarning
41 | ignore::PendingDeprecationWarning
42 | ignore::UserWarning:moto.*
43 | error::pytest.PytestUnraisableExceptionWarning
44 |
45 | # Minimum version
46 | minversion = 6.0
47 |
48 | # Test timeout (for performance tests)
49 | timeout = 300
50 |
51 | # Coverage options (when --cov is used)
52 | # These are applied when pytest-cov is installed and --cov is used
53 | [coverage:run]
54 | source =
55 | playbooks/cloudwatch
56 | services/cloudwatch_service.py
57 | services/cloudwatch_pricing.py
58 |
59 | omit =
60 | */tests/*
61 | */test_*
62 | */__pycache__/*
63 | */venv/*
64 | */.venv/*
65 |
66 | [coverage:report]
67 | exclude_lines =
68 | pragma: no cover
69 | def __repr__
70 | if self.debug:
71 | if settings.DEBUG
72 | raise AssertionError
73 | raise NotImplementedError
74 | if 0:
75 | if __name__ == .__main__.:
76 | class .*\bProtocol\):
77 | @(abc\.)?abstractmethod
78 |
79 | show_missing = true
80 | precision = 2
81 | skip_covered = false
82 |
83 | [coverage:html]
84 | directory = htmlcov
85 | title = CloudWatch Optimization Test Coverage
```
--------------------------------------------------------------------------------
/tests/legacy/test_stack_trace_fix.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Test to verify stack traces are now properly captured in CloudWatch functions.
4 | """
5 |
6 | import asyncio
7 | import json
8 | import sys
9 | import os
10 |
11 | # Add the project root to the path
12 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
13 |
14 | from runbook_functions import run_cloudwatch_general_spend_analysis
15 |
16 |
17 | async def test_stack_trace_capture():
18 | """Test that CloudWatch functions now capture full stack traces."""
19 | print("Testing CloudWatch stack trace capture...")
20 |
21 | # Test with invalid region to trigger an error
22 | arguments = {
23 | "region": "invalid-region-12345", # This should cause an error
24 | "lookback_days": 1,
25 | "page": 1
26 | }
27 |
28 | print(f"Calling run_cloudwatch_general_spend_analysis with invalid region: {arguments}")
29 |
30 | try:
31 | result = await run_cloudwatch_general_spend_analysis(arguments)
32 |
33 | print("Result received:")
34 | for content in result:
35 | result_text = content.text
36 | print(result_text)
37 |
38 | # Check if the result contains a full stack trace
39 | if "Full stack trace:" in result_text:
40 | print("✅ SUCCESS: Full stack trace found in error response")
41 | return True
42 | else:
43 | print("❌ FAILURE: No full stack trace found in error response")
44 | return False
45 |
46 | except Exception as e:
47 | print(f"❌ FAILURE: Exception not handled properly: {str(e)}")
48 | return False
49 |
50 |
51 | if __name__ == "__main__":
52 | success = asyncio.run(test_stack_trace_capture())
53 | if success:
54 | print("\n✅ Stack trace fix verification PASSED")
55 | else:
56 | print("\n❌ Stack trace fix verification FAILED")
57 | sys.exit(1)
```
--------------------------------------------------------------------------------
/tests/legacy/test_pricing_cache_fix.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Test to verify the CloudWatch pricing cache fix works.
4 | """
5 |
6 | import sys
7 | import os
8 | import time
9 |
10 | # Add the project root to the path
11 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
12 |
13 | from services.cloudwatch_pricing import CloudWatchPricing
14 |
15 |
16 | def test_pricing_cache():
17 | """Test that pricing calls are cached and don't block."""
18 | print("Testing CloudWatch pricing cache fix...")
19 |
20 | # Initialize pricing service
21 | pricing = CloudWatchPricing(region='us-east-1')
22 |
23 | # First call - should use fallback pricing and cache it
24 | print("Making first pricing call...")
25 | start_time = time.time()
26 | result1 = pricing.get_metrics_pricing()
27 | first_call_time = time.time() - start_time
28 |
29 | print(f"First call took {first_call_time:.3f} seconds")
30 | print(f"Status: {result1.get('status')}")
31 | print(f"Source: {result1.get('source')}")
32 |
33 | # Second call - should use cache and be instant
34 | print("\nMaking second pricing call...")
35 | start_time = time.time()
36 | result2 = pricing.get_metrics_pricing()
37 | second_call_time = time.time() - start_time
38 |
39 | print(f"Second call took {second_call_time:.3f} seconds")
40 | print(f"Status: {result2.get('status')}")
41 | print(f"Source: {result2.get('source')}")
42 |
43 | # Verify caching worked
44 | if second_call_time < 0.001: # Should be nearly instant
45 | print("✅ SUCCESS: Caching is working - second call was instant")
46 | return True
47 | else:
48 | print("❌ FAILURE: Caching not working - second call took too long")
49 | return False
50 |
51 |
52 | if __name__ == "__main__":
53 | success = test_pricing_cache()
54 | if success:
55 | print("\n✅ Pricing cache fix verification PASSED")
56 | else:
57 | print("\n❌ Pricing cache fix verification FAILED")
58 | sys.exit(1)
```
--------------------------------------------------------------------------------
/tests/legacy/test_documentation_links.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Test script for documentation links functionality
4 | """
5 |
6 | import json
7 | from utils.documentation_links import add_documentation_links, get_service_documentation, format_documentation_section
8 |
9 | def test_documentation_links():
10 | """Test the documentation links functionality"""
11 |
12 | print("Testing documentation links functionality...\n")
13 |
14 | # Test 1: Basic result with EC2 service
15 | print("1. Testing EC2 service documentation links:")
16 | ec2_result = {
17 | "status": "success",
18 | "data": {
19 | "underutilized_instances": [],
20 | "count": 0,
21 | "total_monthly_savings": 0
22 | },
23 | "message": "Found 0 underutilized EC2 instances"
24 | }
25 |
26 | enhanced_result = add_documentation_links(ec2_result, "ec2")
27 | print(json.dumps(enhanced_result, indent=2))
28 | print()
29 |
30 | # Test 2: S3 service documentation
31 | print("2. Testing S3 service documentation links:")
32 | s3_result = {
33 | "status": "success",
34 | "data": {
35 | "buckets_analyzed": 5,
36 | "total_savings": 150.50
37 | }
38 | }
39 |
40 | enhanced_s3_result = add_documentation_links(s3_result, "s3")
41 | print(json.dumps(enhanced_s3_result, indent=2))
42 | print()
43 |
44 | # Test 3: General documentation (no specific service)
45 | print("3. Testing general documentation links:")
46 | general_result = {
47 | "status": "success",
48 | "message": "Cost analysis completed"
49 | }
50 |
51 | enhanced_general_result = add_documentation_links(general_result)
52 | print(json.dumps(enhanced_general_result, indent=2))
53 | print()
54 |
55 | # Test 4: Get service-specific documentation
56 | print("4. Testing service-specific documentation retrieval:")
57 | rds_docs = get_service_documentation("rds")
58 | print("RDS Documentation:")
59 | for title, url in rds_docs.items():
60 | print(f" - {title}: {url}")
61 | print()
62 |
63 | # Test 5: Format standalone documentation section
64 | print("5. Testing standalone documentation section:")
65 | lambda_docs = format_documentation_section("lambda")
66 | print(json.dumps(lambda_docs, indent=2))
67 | print()
68 |
69 | print("All tests completed successfully!")
70 |
71 | if __name__ == "__main__":
72 | test_documentation_links()
```
--------------------------------------------------------------------------------
/services/cloudwatch_pricing.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | CloudWatch Pricing - Backward compatibility wrapper.
3 |
4 | This module provides backward compatibility for code that expects CloudWatchPricing.
5 | The actual pricing logic is now internal to cloudwatch_service.py via AWSPricingDAO.
6 | """
7 |
8 | import logging
9 | from typing import Dict, Any, Optional
10 |
11 | logger = logging.getLogger(__name__)
12 |
13 |
14 | class CloudWatchPricing:
15 | """
16 | Backward compatibility wrapper for CloudWatch pricing.
17 |
18 | This class provides the same interface as before but delegates to the internal
19 | AWSPricingDAO class in cloudwatch_service.py.
20 | """
21 |
22 | def __init__(self, region: str = 'us-east-1'):
23 | """Initialize pricing service."""
24 | self.region = region
25 |
26 | # Import here to avoid circular dependency
27 | from services.cloudwatch_service import AWSPricingDAO
28 | self._pricing_dao = AWSPricingDAO(region=region)
29 |
30 | logger.debug(f"CloudWatchPricing initialized for region: {region}")
31 |
32 | def get_pricing_data(self, component: str) -> Dict[str, Any]:
33 | """Get pricing data for CloudWatch components."""
34 | return self._pricing_dao.get_pricing_data(component)
35 |
36 | def get_free_tier_limits(self) -> Dict[str, Any]:
37 | """Get free tier limits for CloudWatch services."""
38 | return self._pricing_dao.get_free_tier_limits()
39 |
40 | def calculate_cost(self, component: str, usage: Dict[str, Any]) -> Dict[str, Any]:
41 | """Calculate costs for CloudWatch components."""
42 | return self._pricing_dao.calculate_cost(component, usage)
43 |
44 | def calculate_logs_cost(self, usage: Dict[str, Any]) -> Dict[str, Any]:
45 | """Calculate CloudWatch Logs costs."""
46 | pricing = self.get_pricing_data('logs')
47 | return self._pricing_dao._calculate_logs_cost(usage, pricing)
48 |
49 | def calculate_metrics_cost(self, usage: Dict[str, Any]) -> Dict[str, Any]:
50 | """Calculate CloudWatch Metrics costs."""
51 | pricing = self.get_pricing_data('metrics')
52 | return self._pricing_dao._calculate_metrics_cost(usage, pricing)
53 |
54 | def calculate_alarms_cost(self, usage: Dict[str, Any]) -> Dict[str, Any]:
55 | """Calculate CloudWatch Alarms costs."""
56 | pricing = self.get_pricing_data('alarms')
57 | return self._pricing_dao._calculate_alarms_cost(usage, pricing)
58 |
59 | def calculate_dashboards_cost(self, usage: Dict[str, Any]) -> Dict[str, Any]:
60 | """Calculate CloudWatch Dashboards costs."""
61 | pricing = self.get_pricing_data('dashboards')
62 | return self._pricing_dao._calculate_dashboards_cost(usage, pricing)
63 |
```
--------------------------------------------------------------------------------
/tests/performance/test_performance_suite.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Performance Test Suite Runner - Second Level Suite
4 | Runs all performance tests across all playbooks.
5 | """
6 |
7 | import sys
8 | import os
9 | import importlib.util
10 |
11 | # Add the project root to the path
12 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../..'))
13 |
14 |
15 | def run_performance_tests():
16 | """Run all performance tests across all playbooks."""
17 | print("⚡ Running Performance Test Suite")
18 | print("=" * 50)
19 |
20 | # Define performance test modules for each playbook (relative to tests directory)
21 | base_dir = os.path.dirname(os.path.dirname(__file__)) # Go up to tests directory
22 | test_modules = [
23 | ("CloudWatch Performance", os.path.join(base_dir, "performance/cloudwatch/test_cloudwatch_performance.py")),
24 | # Add other playbooks as they are organized
25 | # ("EC2 Performance", os.path.join(base_dir, "performance/ec2/test_ec2_performance.py")),
26 | # ("S3 Performance", os.path.join(base_dir, "performance/s3/test_s3_performance.py")),
27 | ]
28 |
29 | total_passed = 0
30 | total_failed = 0
31 |
32 | for test_name, test_path in test_modules:
33 | if not os.path.exists(test_path):
34 | print(f"⚠️ Skipping {test_name}: {test_path} not found")
35 | continue
36 |
37 | print(f"\n🔄 Running {test_name}...")
38 |
39 | try:
40 | # Load and run the test module
41 | spec = importlib.util.spec_from_file_location("test_module", test_path)
42 | test_module = importlib.util.module_from_spec(spec)
43 | spec.loader.exec_module(test_module)
44 |
45 | # Run the main function if it exists
46 | if hasattr(test_module, 'main'):
47 | success = test_module.main()
48 | if success:
49 | total_passed += 1
50 | print(f"✅ {test_name} PASSED")
51 | else:
52 | total_failed += 1
53 | print(f"❌ {test_name} FAILED")
54 | else:
55 | print(f"⚠️ {test_name}: No main() function found")
56 |
57 | except Exception as e:
58 | total_failed += 1
59 | print(f"❌ {test_name} FAILED with exception: {e}")
60 |
61 | print("\n" + "=" * 50)
62 | print(f"Performance Test Results: {total_passed + total_failed} total, {total_passed} passed, {total_failed} failed")
63 |
64 | success = total_failed == 0
65 |
66 | if success:
67 | print("🎉 ALL PERFORMANCE TESTS PASSED!")
68 | else:
69 | print(f"❌ {total_failed} PERFORMANCE TESTS FAILED")
70 |
71 | return success
72 |
73 |
74 | if __name__ == "__main__":
75 | success = run_performance_tests()
76 | sys.exit(0 if success else 1)
```
--------------------------------------------------------------------------------
/tests/integration/test_integration_suite.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Integration Test Suite Runner - Second Level Suite
4 | Runs all integration tests across all playbooks.
5 | """
6 |
7 | import asyncio
8 | import sys
9 | import os
10 | import importlib.util
11 |
12 | # Add the project root to the path
13 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../..'))
14 |
15 |
16 | async def run_integration_tests():
17 | """Run all integration tests across all playbooks."""
18 | print("🔗 Running Integration Test Suite")
19 | print("=" * 50)
20 |
21 | # Define integration test modules for each playbook (relative to tests directory)
22 | base_dir = os.path.dirname(os.path.dirname(__file__)) # Go up to tests directory
23 | test_modules = [
24 | ("CloudWatch Integration", os.path.join(base_dir, "integration/cloudwatch/test_cloudwatch_integration.py")),
25 | # Add other playbooks as they are organized
26 | # ("EC2 Integration", os.path.join(base_dir, "integration/ec2/test_ec2_integration.py")),
27 | # ("S3 Integration", os.path.join(base_dir, "integration/s3/test_s3_integration.py")),
28 | ]
29 |
30 | total_passed = 0
31 | total_failed = 0
32 |
33 | for test_name, test_path in test_modules:
34 | if not os.path.exists(test_path):
35 | print(f"⚠️ Skipping {test_name}: {test_path} not found")
36 | continue
37 |
38 | print(f"\n🔄 Running {test_name}...")
39 |
40 | try:
41 | # Load and run the test module
42 | spec = importlib.util.spec_from_file_location("test_module", test_path)
43 | test_module = importlib.util.module_from_spec(spec)
44 | spec.loader.exec_module(test_module)
45 |
46 | # Run the main function if it exists
47 | if hasattr(test_module, 'run_cloudwatch_integration_tests'):
48 | success = await test_module.run_cloudwatch_integration_tests()
49 | if success:
50 | total_passed += 1
51 | print(f"✅ {test_name} PASSED")
52 | else:
53 | total_failed += 1
54 | print(f"❌ {test_name} FAILED")
55 | elif hasattr(test_module, 'main'):
56 | # Handle sync main functions
57 | success = test_module.main()
58 | if success:
59 | total_passed += 1
60 | print(f"✅ {test_name} PASSED")
61 | else:
62 | total_failed += 1
63 | print(f"❌ {test_name} FAILED")
64 | else:
65 | print(f"⚠️ {test_name}: No main() or run_*_integration_tests() function found")
66 |
67 | except Exception as e:
68 | total_failed += 1
69 | print(f"❌ {test_name} FAILED with exception: {e}")
70 |
71 | print("\n" + "=" * 50)
72 | print(f"Integration Test Results: {total_passed + total_failed} total, {total_passed} passed, {total_failed} failed")
73 |
74 | success = total_failed == 0
75 |
76 | if success:
77 | print("🎉 ALL INTEGRATION TESTS PASSED!")
78 | else:
79 | print(f"❌ {total_failed} INTEGRATION TESTS FAILED")
80 |
81 | return success
82 |
83 |
84 | if __name__ == "__main__":
85 | success = asyncio.run(run_integration_tests())
86 | sys.exit(0 if success else 1)
```
--------------------------------------------------------------------------------
/services/trusted_advisor.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | AWS Trusted Advisor service module.
3 |
4 | This module provides functions for interacting with the AWS Trusted Advisor API.
5 | """
6 |
7 | import logging
8 | from typing import Dict, List, Optional, Any
9 | import boto3
10 | from botocore.exceptions import ClientError
11 |
12 | from utils.error_handler import AWSErrorHandler, ResponseFormatter
13 | from utils.aws_client_factory import get_trusted_advisor_client
14 |
15 | logger = logging.getLogger(__name__)
16 |
17 | def get_trusted_advisor_checks(
18 | check_categories: Optional[List[str]] = None,
19 | region: Optional[str] = None
20 | ) -> Dict[str, Any]:
21 | """
22 | Get AWS Trusted Advisor check results.
23 |
24 | Args:
25 | check_categories: List of check categories to filter
26 | region: AWS region (optional)
27 |
28 | Returns:
29 | Dictionary containing the Trusted Advisor check results
30 | """
31 | try:
32 | # Trusted Advisor is only available in us-east-1
33 | support_client = get_trusted_advisor_client()
34 |
35 | # Get available checks
36 | checks_response = support_client.describe_trusted_advisor_checks(language='en')
37 | checks = checks_response['checks']
38 |
39 | # Filter by categories if specified
40 | if check_categories:
41 | checks = [check for check in checks if check['category'] in check_categories]
42 |
43 | # Get results for each check
44 | results = []
45 | for check in checks:
46 | # Ensure check is a dictionary
47 | if not isinstance(check, dict):
48 | logger.warning(f"Unexpected check format in Trusted Advisor response: {type(check)}")
49 | continue
50 |
51 | check_id = check.get('id')
52 | check_name = check.get('name', 'Unknown')
53 |
54 | if not check_id:
55 | logger.warning(f"Check missing ID: {check_name}")
56 | continue
57 |
58 | try:
59 | result = support_client.describe_trusted_advisor_check_result(
60 | checkId=check_id,
61 | language='en'
62 | )
63 |
64 | # Validate result structure
65 | if 'result' in result and isinstance(result['result'], dict):
66 | results.append({
67 | 'check_id': check_id,
68 | 'name': check_name,
69 | 'category': check.get('category', 'unknown'),
70 | 'result': result['result']
71 | })
72 | else:
73 | logger.warning(f"Invalid result structure for check {check_name}")
74 |
75 | except Exception as check_error:
76 | logger.warning(f"Error getting result for check {check_name}: {str(check_error)}")
77 |
78 | return ResponseFormatter.success_response(
79 | data={"checks": results, "count": len(results)},
80 | message=f"Retrieved {len(results)} Trusted Advisor check results",
81 | analysis_type="trusted_advisor_checks"
82 | )
83 |
84 | except ClientError as e:
85 | return AWSErrorHandler.format_client_error(
86 | e,
87 | "get_trusted_advisor_checks",
88 | ["support:DescribeTrustedAdvisorChecks", "support:DescribeTrustedAdvisorCheckResult"]
89 | )
90 |
91 | except Exception as e:
92 | return AWSErrorHandler.format_general_error(e, "get_trusted_advisor_checks")
```
--------------------------------------------------------------------------------
/runbook_functions_extended.py:
--------------------------------------------------------------------------------
```python
1 | # Extended EC2 runbook functions
2 | import json
3 | from typing import Dict, List, Any
4 | from mcp.types import TextContent
5 |
6 | from playbooks.ec2_optimization import (
7 | get_graviton_compatible_instances, get_burstable_instances_analysis,
8 | get_spot_instance_opportunities, get_unused_capacity_reservations,
9 | get_scheduling_opportunities, get_commitment_plan_recommendations,
10 | get_governance_violations, generate_comprehensive_ec2_report
11 | )
12 |
13 | async def identify_graviton_compatible_instances(arguments: Dict[str, Any]) -> List[TextContent]:
14 | try:
15 | result = get_graviton_compatible_instances(region=arguments.get("region"))
16 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
17 | except Exception as e:
18 | return [TextContent(type="text", text=f"Error: {str(e)}")]
19 |
20 | async def analyze_burstable_instances(arguments: Dict[str, Any]) -> List[TextContent]:
21 | try:
22 | result = get_burstable_instances_analysis(
23 | region=arguments.get("region"),
24 | lookback_period_days=arguments.get("lookback_period_days", 14)
25 | )
26 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
27 | except Exception as e:
28 | return [TextContent(type="text", text=f"Error: {str(e)}")]
29 |
30 | async def identify_spot_opportunities(arguments: Dict[str, Any]) -> List[TextContent]:
31 | try:
32 | result = get_spot_instance_opportunities(region=arguments.get("region"))
33 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
34 | except Exception as e:
35 | return [TextContent(type="text", text=f"Error: {str(e)}")]
36 |
37 | async def identify_unused_reservations(arguments: Dict[str, Any]) -> List[TextContent]:
38 | try:
39 | result = get_unused_capacity_reservations(region=arguments.get("region"))
40 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
41 | except Exception as e:
42 | return [TextContent(type="text", text=f"Error: {str(e)}")]
43 |
44 | async def identify_scheduling_opportunities(arguments: Dict[str, Any]) -> List[TextContent]:
45 | try:
46 | result = get_scheduling_opportunities(region=arguments.get("region"))
47 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
48 | except Exception as e:
49 | return [TextContent(type="text", text=f"Error: {str(e)}")]
50 |
51 | async def analyze_commitment_plans(arguments: Dict[str, Any]) -> List[TextContent]:
52 | try:
53 | result = get_commitment_plan_recommendations(region=arguments.get("region"))
54 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
55 | except Exception as e:
56 | return [TextContent(type="text", text=f"Error: {str(e)}")]
57 |
58 | async def identify_governance_violations(arguments: Dict[str, Any]) -> List[TextContent]:
59 | try:
60 | result = get_governance_violations(region=arguments.get("region"))
61 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
62 | except Exception as e:
63 | return [TextContent(type="text", text=f"Error: {str(e)}")]
64 |
65 | async def generate_comprehensive_report(arguments: Dict[str, Any]) -> List[TextContent]:
66 | try:
67 | result = generate_comprehensive_ec2_report(region=arguments.get("region"))
68 | return [TextContent(type="text", text=json.dumps(result, indent=2, default=str))]
69 | except Exception as e:
70 | return [TextContent(type="text", text=f"Error: {str(e)}")]
```
--------------------------------------------------------------------------------
/services/performance_insights.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | AWS Performance Insights service module.
3 |
4 | This module provides functions for interacting with the AWS Performance Insights API.
5 | """
6 |
7 | import logging
8 | from typing import Dict, List, Optional, Any
9 | import boto3
10 | from datetime import datetime, timedelta
11 | from botocore.exceptions import ClientError
12 |
13 | from utils.error_handler import AWSErrorHandler, ResponseFormatter
14 | from utils.aws_client_factory import get_performance_insights_client
15 |
16 | logger = logging.getLogger(__name__)
17 |
18 | def get_performance_insights_metrics(
19 | db_instance_identifier: str,
20 | start_time: Optional[str] = None,
21 | end_time: Optional[str] = None,
22 | region: Optional[str] = None
23 | ) -> Dict[str, Any]:
24 | """
25 | Get Performance Insights metrics for an RDS instance.
26 |
27 | Args:
28 | db_instance_identifier: RDS instance identifier
29 | start_time: Start time for metrics (ISO format)
30 | end_time: End time for metrics (ISO format)
31 | region: AWS region (optional)
32 |
33 | Returns:
34 | Dictionary containing the Performance Insights metrics
35 | """
36 | try:
37 | # Create Performance Insights client
38 | pi_client = get_performance_insights_client(region)
39 |
40 | # Set default time range if not provided
41 | if not start_time:
42 | end_datetime = datetime.utcnow()
43 | start_datetime = end_datetime - timedelta(hours=1)
44 | start_time = start_datetime.isoformat() + 'Z'
45 | end_time = end_datetime.isoformat() + 'Z'
46 | elif not end_time:
47 | end_time = datetime.utcnow().isoformat() + 'Z'
48 |
49 | # Define metrics to retrieve
50 | metrics = [
51 | {'Metric': 'db.load.avg'},
52 | {'Metric': 'db.sampledload.avg'}
53 | ]
54 |
55 | # Make the API call
56 | response = pi_client.get_resource_metrics(
57 | ServiceType='RDS',
58 | Identifier=db_instance_identifier,
59 | StartTime=start_time,
60 | EndTime=end_time,
61 | MetricQueries=metrics,
62 | PeriodInSeconds=60
63 | )
64 |
65 | return {
66 | "status": "success",
67 | "data": response,
68 | "message": f"Retrieved Performance Insights metrics for {db_instance_identifier}"
69 | }
70 |
71 | except ClientError as e:
72 | error_code = e.response['Error']['Code'] if 'Error' in e.response else "Unknown"
73 |
74 | # Handle specific authorization errors gracefully
75 | if error_code in ['NotAuthorizedException', 'AccessDenied', 'UnauthorizedOperation']:
76 | logger.warning(f"Performance Insights not authorized for {db_instance_identifier}: {str(e)}")
77 | return {
78 | "status": "success",
79 | "data": {
80 | "MetricList": [],
81 | "AlignedStartTime": start_time,
82 | "AlignedEndTime": end_time,
83 | "Identifier": db_instance_identifier
84 | },
85 | "message": f"Performance Insights not enabled or authorized for {db_instance_identifier}",
86 | "warning": "Performance Insights requires explicit enablement and permissions"
87 | }
88 | else:
89 | logger.error(f"Error in Performance Insights API: {str(e)}")
90 | return {
91 | "status": "error",
92 | "message": f"Performance Insights API error: {str(e)}",
93 | "error_code": error_code
94 | }
95 |
96 | except Exception as e:
97 | logger.error(f"Unexpected error in Performance Insights service: {str(e)}")
98 | return {
99 | "status": "error",
100 | "message": f"Unexpected error: {str(e)}"
101 | }
```
--------------------------------------------------------------------------------
/playbooks/s3/s3_optimization.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | S3 Cost Optimization Playbook - Consolidated Module
3 |
4 | This module has been consolidated and cleaned up. The main S3 optimization functionality
5 | has been moved to the new architecture:
6 | - core/s3_optimization_orchestrator.py (main orchestrator)
7 | - core/s3_analysis_engine.py (analysis engine)
8 | - core/analyzers/ (individual analyzer implementations)
9 |
10 | This file now contains only essential imports and references for backward compatibility.
11 | All new development should use the S3OptimizationOrchestrator from playbooks.s3.s3_optimization_orchestrator.
12 | """
13 |
14 | import logging
15 | from typing import Dict, Any, Optional
16 |
17 | logger = logging.getLogger(__name__)
18 |
19 | # Import the new orchestrator for any legacy compatibility needs
20 | try:
21 | from .s3_optimization_orchestrator import S3OptimizationOrchestrator
22 |
23 | # Provide a compatibility alias for any remaining legacy code
24 | S3Optimization = S3OptimizationOrchestrator
25 |
26 | logger.info("S3 optimization functionality available via S3OptimizationOrchestrator")
27 |
28 | except ImportError as e:
29 | logger.error(f"Failed to import S3OptimizationOrchestrator: {e}")
30 |
31 | # Fallback class for error handling
32 | class S3Optimization:
33 | """
34 | Fallback S3Optimization class when the new orchestrator is not available.
35 |
36 | This class provides basic error handling and guidance to use the new architecture.
37 | """
38 |
39 | def __init__(self, region: Optional[str] = None, timeout_seconds: int = 45):
40 | """
41 | Initialize fallback S3 optimization.
42 |
43 | Args:
44 | region: AWS region (optional)
45 | timeout_seconds: Maximum execution time per analysis (default: 45)
46 | """
47 | self.region = region
48 | self.timeout_seconds = timeout_seconds
49 | logger.warning("Using fallback S3Optimization class. Please use S3OptimizationOrchestrator instead.")
50 |
51 | def __getattr__(self, name: str) -> Any:
52 | """
53 | Handle any method calls by providing guidance to use the new architecture.
54 |
55 | Args:
56 | name: Method name being called
57 |
58 | Returns:
59 | Error response with guidance
60 | """
61 | logger.error(f"Method '{name}' called on fallback S3Optimization class")
62 | return lambda *args, **kwargs: {
63 | "status": "error",
64 | "message": f"S3Optimization.{name}() is deprecated. Use S3OptimizationOrchestrator instead.",
65 | "guidance": {
66 | "new_class": "S3OptimizationOrchestrator",
67 | "import_path": "from playbooks.s3.s3_optimization_orchestrator import S3OptimizationOrchestrator",
68 | "migration_note": "The new orchestrator provides all S3 optimization functionality with improved performance and session integration."
69 | },
70 | "data": {}
71 | }
72 |
73 |
74 | # Utility functions for backward compatibility
75 | def get_s3_optimization_instance(region: Optional[str] = None, timeout_seconds: int = 45) -> S3Optimization:
76 | """
77 | Get an S3 optimization instance (preferably the new orchestrator).
78 |
79 | Args:
80 | region: AWS region (optional)
81 | timeout_seconds: Maximum execution time per analysis (default: 45)
82 |
83 | Returns:
84 | S3Optimization instance (either orchestrator or fallback)
85 | """
86 | try:
87 | return S3OptimizationOrchestrator(region=region)
88 | except Exception as e:
89 | logger.warning(f"Could not create S3OptimizationOrchestrator, using fallback: {e}")
90 | return S3Optimization(region=region, timeout_seconds=timeout_seconds)
91 |
92 |
93 | # Export the main class for backward compatibility
94 | __all__ = ['S3Optimization', 'get_s3_optimization_instance']
```
--------------------------------------------------------------------------------
/utils/documentation_links.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Documentation Links Utility
3 |
4 | This module provides centralized documentation links for AWS cost optimization tools.
5 | It adds relevant documentation and best practices links to tool outputs, including
6 | AWS Well-Architected Framework recommendations.
7 | """
8 |
9 | from typing import Dict, Any, List
10 | # Removed wellarchitected_recommendations - let LLMs provide recommendations based on MCP output
11 |
12 | # Documentation links mapping
13 | DOCUMENTATION_LINKS = {
14 | "general": {
15 | "CFM-TIPs Guidance": "https://catalog.workshops.aws/awscff/en-US/introduction",
16 | "Cost Optimization Pillar of AWS Well Architected": "https://docs.aws.amazon.com/wellarchitected/latest/framework/cost-optimization.html"
17 | },
18 | "ec2": {
19 | "Best Practices Playbooks for EC2": "https://catalog.workshops.aws/awscff/en-US/playbooks/compute/ec2"
20 | },
21 | "ebs": {
22 | "Best Practices Playbooks for EBS": "https://catalog.workshops.aws/awscff/en-US/playbooks/storage/ebs"
23 | },
24 | "rds": {
25 | "Best Practices Playbooks for RDS": "https://catalog.workshops.aws/awscff/en-US/playbooks/databases/rds"
26 | },
27 | "lambda": {
28 | "Best Practices Playbooks for AWS Lambda": "https://catalog.workshops.aws/awscff/en-US/playbooks/compute/lambda"
29 | },
30 | "s3": {
31 | "Best Practices Playbooks for S3": "https://catalog.workshops.aws/awscff/en-US/playbooks/storage/s3"
32 | },
33 | "cloudtrail": {
34 | "Best Practices Playbooks for CloudTrail": "https://catalog.workshops.aws/awscff/en-US/playbooks/management-and-governance/cloudtrail"
35 | }
36 | }
37 |
38 | def add_documentation_links(result: Dict[str, Any], service_type: str = None, finding_type: str = None) -> Dict[str, Any]:
39 | """
40 | Add relevant documentation links and Well-Architected recommendations to a result dictionary.
41 |
42 | Args:
43 | result: The result dictionary from a cost optimization function
44 | service_type: The AWS service type (ec2, ebs, rds, lambda, s3, cloudtrail)
45 | finding_type: Type of optimization finding (underutilized, unused, overprovisioned, etc.)
46 |
47 | Returns:
48 | Enhanced result dictionary with documentation links and Well-Architected recommendations
49 | """
50 | if not isinstance(result, dict):
51 | return result
52 |
53 | # Create a copy to avoid modifying the original
54 | enhanced_result = result.copy()
55 |
56 | # Build documentation links
57 | docs = {}
58 |
59 | # Always include general documentation
60 | docs.update(DOCUMENTATION_LINKS["general"])
61 |
62 | # Add service-specific documentation if specified
63 | if service_type and service_type.lower() in DOCUMENTATION_LINKS:
64 | docs.update(DOCUMENTATION_LINKS[service_type.lower()])
65 |
66 | # Add documentation section to the result
67 | enhanced_result["documentation"] = {
68 | "description": "Suggested documentation and further reading",
69 | "links": docs
70 | }
71 |
72 | # Well-Architected recommendations now provided by LLMs analyzing MCP output
73 |
74 | return enhanced_result
75 |
76 | def get_service_documentation(service_type: str) -> Dict[str, str]:
77 | """
78 | Get documentation links for a specific service.
79 |
80 | Args:
81 | service_type: The AWS service type
82 |
83 | Returns:
84 | Dictionary of documentation links
85 | """
86 | docs = DOCUMENTATION_LINKS["general"].copy()
87 |
88 | if service_type.lower() in DOCUMENTATION_LINKS:
89 | docs.update(DOCUMENTATION_LINKS[service_type.lower()])
90 |
91 | return docs
92 |
93 | def format_documentation_section(service_type: str = None) -> Dict[str, Any]:
94 | """
95 | Format a standalone documentation section.
96 |
97 | Args:
98 | service_type: Optional service type for service-specific links
99 |
100 | Returns:
101 | Formatted documentation section
102 | """
103 | docs = DOCUMENTATION_LINKS["general"].copy()
104 |
105 | if service_type and service_type.lower() in DOCUMENTATION_LINKS:
106 | docs.update(DOCUMENTATION_LINKS[service_type.lower()])
107 |
108 | return {
109 | "documentation": {
110 | "description": "Suggested documentation and further reading",
111 | "links": docs
112 | }
113 | }
```
--------------------------------------------------------------------------------
/logging_config.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Centralized logging configuration for CFM Tips MCP Server
3 | """
4 |
5 | import logging
6 | import sys
7 | import os
8 | import tempfile
9 | from datetime import datetime
10 |
11 | def setup_logging():
12 | """Configure comprehensive logging for the application."""
13 |
14 | # Create formatter
15 | formatter = logging.Formatter(
16 | '%(asctime)s - %(name)s - %(levelname)s - %(funcName)s:%(lineno)d - %(message)s'
17 | )
18 |
19 | # Configure root logger
20 | root_logger = logging.getLogger()
21 | root_logger.setLevel(logging.INFO)
22 |
23 | # Remove existing handlers
24 | for handler in root_logger.handlers[:]:
25 | root_logger.removeHandler(handler)
26 |
27 | # Add file handlers
28 | try:
29 | # Try to create logs directory if it doesn't exist
30 | log_dir = 'logs'
31 | if not os.path.exists(log_dir):
32 | os.makedirs(log_dir, exist_ok=True)
33 |
34 | # Try main log file in logs directory first
35 | log_file = os.path.join(log_dir, 'cfm_tips_mcp.log')
36 | file_handler = logging.FileHandler(log_file)
37 | file_handler.setLevel(logging.INFO)
38 | file_handler.setFormatter(formatter)
39 | root_logger.addHandler(file_handler)
40 |
41 | # Try error log file
42 | error_file = os.path.join(log_dir, 'cfm_tips_mcp_errors.log')
43 | error_handler = logging.FileHandler(error_file)
44 | error_handler.setLevel(logging.ERROR)
45 | error_handler.setFormatter(formatter)
46 | root_logger.addHandler(error_handler)
47 |
48 | except (OSError, PermissionError) as e:
49 | # If we can't write to logs directory, try current directory
50 | try:
51 | file_handler = logging.FileHandler('cfm_tips_mcp.log')
52 | file_handler.setLevel(logging.INFO)
53 | file_handler.setFormatter(formatter)
54 | root_logger.addHandler(file_handler)
55 |
56 | error_handler = logging.FileHandler('cfm_tips_mcp_errors.log')
57 | error_handler.setLevel(logging.ERROR)
58 | error_handler.setFormatter(formatter)
59 | root_logger.addHandler(error_handler)
60 |
61 | except (OSError, PermissionError):
62 | # If we can't write anywhere, try temp directory
63 | try:
64 | temp_dir = tempfile.gettempdir()
65 | temp_log = os.path.join(temp_dir, 'cfm_tips_mcp.log')
66 | file_handler = logging.FileHandler(temp_log)
67 | file_handler.setLevel(logging.INFO)
68 | file_handler.setFormatter(formatter)
69 | root_logger.addHandler(file_handler)
70 |
71 | temp_error = os.path.join(temp_dir, 'cfm_tips_mcp_errors.log')
72 | error_handler = logging.FileHandler(temp_error)
73 | error_handler.setLevel(logging.ERROR)
74 | error_handler.setFormatter(formatter)
75 | root_logger.addHandler(error_handler)
76 |
77 | # Log where we're writing files
78 | print(f"Warning: Using temp directory for logs: {temp_dir}")
79 |
80 | except (OSError, PermissionError):
81 | # If all else fails, raise error since we need file logging
82 | raise RuntimeError("Could not create log files in any location")
83 |
84 | return logging.getLogger(__name__)
85 |
86 | def log_function_entry(logger, func_name, **kwargs):
87 | """Log function entry with parameters."""
88 | logger.info(f"Entering {func_name} with params: {kwargs}")
89 |
90 | def log_function_exit(logger, func_name, result_status=None, execution_time=None):
91 | """Log function exit with results."""
92 | msg = f"Exiting {func_name}"
93 | if result_status:
94 | msg += f" - Status: {result_status}"
95 | if execution_time:
96 | msg += f" - Time: {execution_time:.2f}s"
97 | logger.info(msg)
98 |
99 | def log_aws_api_call(logger, service, operation, **params):
100 | """Log AWS API calls."""
101 | logger.info(f"AWS API Call: {service}.{operation} with params: {params}")
102 |
103 | def log_aws_api_error(logger, service, operation, error):
104 | """Log AWS API errors."""
105 | logger.error(f"AWS API Error: {service}.{operation} - {str(error)}")
```
--------------------------------------------------------------------------------
/tests/test_suite_main.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Main Test Suite Runner - Top Level Suite
4 | Orchestrates all second-level test suites (unit, performance, integration).
5 | """
6 |
7 | import asyncio
8 | import sys
9 | import os
10 | import importlib.util
11 | from typing import Dict, Any
12 |
13 | # Add the project root to the path
14 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
15 |
16 |
17 | def run_suite(suite_name: str, suite_path: str) -> Dict[str, Any]:
18 | """Run a test suite and return results."""
19 | print(f"\n{'='*60}")
20 | print(f"🚀 STARTING {suite_name.upper()} SUITE")
21 | print(f"{'='*60}")
22 |
23 | if not os.path.exists(suite_path):
24 | return {
25 | 'name': suite_name,
26 | 'status': 'skipped',
27 | 'reason': f'Suite file not found: {suite_path}'
28 | }
29 |
30 | try:
31 | # Load the suite module
32 | spec = importlib.util.spec_from_file_location("suite_module", suite_path)
33 | suite_module = importlib.util.module_from_spec(spec)
34 | spec.loader.exec_module(suite_module)
35 |
36 | # Determine the appropriate function to call
37 | if suite_name == 'Integration' and hasattr(suite_module, 'run_integration_tests'):
38 | # Integration tests are async
39 | success = asyncio.run(suite_module.run_integration_tests())
40 | elif hasattr(suite_module, f'run_{suite_name.lower()}_tests'):
41 | # Standard naming convention
42 | func = getattr(suite_module, f'run_{suite_name.lower()}_tests')
43 | success = func()
44 | elif hasattr(suite_module, 'main'):
45 | # Fallback to main function
46 | success = suite_module.main()
47 | else:
48 | return {
49 | 'name': suite_name,
50 | 'status': 'error',
51 | 'reason': f'No suitable entry point found in {suite_path}'
52 | }
53 |
54 | return {
55 | 'name': suite_name,
56 | 'status': 'passed' if success else 'failed',
57 | 'success': success
58 | }
59 |
60 | except Exception as e:
61 | return {
62 | 'name': suite_name,
63 | 'status': 'error',
64 | 'reason': str(e)
65 | }
66 |
67 |
68 | def main():
69 | """Run all test suites in order."""
70 | print("🎯 CFM Tips - Main Test Suite Runner")
71 | print("=" * 60)
72 | print("Running hierarchical test suite:")
73 | print(" 📁 Top Level: Main Suite")
74 | print(" 📁 Second Level: Unit, Performance, Integration")
75 | print(" 📁 Third Level: Playbook-specific (CloudWatch, EC2, S3, etc.)")
76 | print("=" * 60)
77 |
78 | # Define the test suites in execution order
79 | suites = [
80 | ("Unit", "tests/unit/test_unit_suite.py"),
81 | ("Performance", "tests/performance/test_performance_suite.py"),
82 | ("Integration", "tests/integration/test_integration_suite.py"),
83 | ]
84 |
85 | results = []
86 |
87 | # Run each suite
88 | for suite_name, suite_path in suites:
89 | result = run_suite(suite_name, suite_path)
90 | results.append(result)
91 |
92 | # Print summary
93 | print(f"\n{'='*60}")
94 | print("📊 MAIN TEST SUITE SUMMARY")
95 | print(f"{'='*60}")
96 |
97 | passed = 0
98 | failed = 0
99 | skipped = 0
100 | errors = 0
101 |
102 | for result in results:
103 | status = result['status']
104 | name = result['name']
105 |
106 | if status == 'passed':
107 | print(f"✅ {name} Suite: PASSED")
108 | passed += 1
109 | elif status == 'failed':
110 | print(f"❌ {name} Suite: FAILED")
111 | failed += 1
112 | elif status == 'skipped':
113 | print(f"⏭️ {name} Suite: SKIPPED - {result['reason']}")
114 | skipped += 1
115 | elif status == 'error':
116 | print(f"💥 {name} Suite: ERROR - {result['reason']}")
117 | errors += 1
118 |
119 | total = len(results)
120 | print(f"\n📈 Results: {total} suites total")
121 | print(f" ✅ Passed: {passed}")
122 | print(f" ❌ Failed: {failed}")
123 | print(f" ⏭️ Skipped: {skipped}")
124 | print(f" 💥 Errors: {errors}")
125 |
126 | success_rate = (passed / total * 100) if total > 0 else 0
127 | print(f" 📊 Success Rate: {success_rate:.1f}%")
128 |
129 | overall_success = failed == 0 and errors == 0
130 |
131 | if overall_success:
132 | print(f"\n🎉 ALL TEST SUITES COMPLETED SUCCESSFULLY!")
133 | print(" 🚀 CFM Tips is ready for deployment!")
134 | else:
135 | print(f"\n⚠️ SOME TEST SUITES FAILED")
136 | print(" 🔧 Please review failed tests before deployment")
137 |
138 | return overall_success
139 |
140 |
141 | if __name__ == "__main__":
142 | success = main()
143 | sys.exit(0 if success else 1)
```
--------------------------------------------------------------------------------
/tests/unit/s3/live/test_top_buckets.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Live test for S3 top buckets listing functionality.
3 |
4 | This test validates that the quick analysis properly returns top 10 buckets
5 | with their cost estimates.
6 | """
7 |
8 | import pytest
9 | import asyncio
10 | import json
11 | from playbooks.s3.s3_optimization_orchestrator import run_s3_quick_analysis
12 |
13 |
14 | @pytest.mark.live
15 | @pytest.mark.asyncio
16 | async def test_list_top_10_buckets():
17 | """Test that quick analysis returns top 10 buckets with cost estimates."""
18 |
19 | # Run quick analysis
20 | arguments = {
21 | 'region': 'us-east-1' # You can change this to your preferred region
22 | }
23 |
24 | result = await run_s3_quick_analysis(arguments)
25 |
26 | # Parse the result
27 | assert len(result) > 0
28 | assert result[0]["type"] == "text"
29 |
30 | data = json.loads(result[0]["text"])
31 |
32 | # Verify structure
33 | assert data["status"] == "success"
34 | assert "results" in data
35 | assert "general_spend" in data["results"]
36 |
37 | # Check general_spend results
38 | general_spend = data["results"]["general_spend"]
39 |
40 | print(f"\n=== General Spend Status: {general_spend.get('status')} ===")
41 |
42 | if general_spend.get("status") == "success":
43 | assert "data" in general_spend
44 |
45 | # Print full data structure for debugging
46 | print(f"\nData keys: {list(general_spend['data'].keys())}")
47 |
48 | if "bucket_costs" in general_spend["data"]:
49 | bucket_costs = general_spend["data"]["bucket_costs"]
50 | print(f"\nBucket costs keys: {list(bucket_costs.keys())}")
51 | print(f"Total buckets analyzed: {bucket_costs.get('total_buckets_analyzed', 'N/A')}")
52 |
53 | # Verify top_10_buckets exists
54 | assert "top_10_buckets" in bucket_costs
55 |
56 | top_buckets = bucket_costs["top_10_buckets"]
57 |
58 | # Print results for manual verification
59 | print("\n=== Top 10 S3 Buckets by Estimated Cost ===")
60 | if len(top_buckets) == 0:
61 | print("No buckets found or analyzed.")
62 | else:
63 | for i, bucket in enumerate(top_buckets, 1):
64 | print(f"{i}. {bucket['bucket_name']}")
65 | print(f" Estimated Monthly Cost: ${bucket['estimated_monthly_cost']:.2f}")
66 | print(f" Size: {bucket['size_gb']:.2f} GB")
67 | print(f" Objects: {bucket['object_count']:,}")
68 | print(f" Storage Class: {bucket['primary_storage_class']}")
69 | print()
70 | else:
71 | print("\nWARNING: bucket_costs not found in general_spend data")
72 | print(f"Available data: {json.dumps(general_spend['data'], indent=2, default=str)}")
73 |
74 | # Verify bucket data structure
75 | if len(top_buckets) > 0:
76 | first_bucket = top_buckets[0]
77 | assert "bucket_name" in first_bucket
78 | assert "estimated_monthly_cost" in first_bucket
79 | assert "size_gb" in first_bucket
80 | assert "object_count" in first_bucket
81 | assert "primary_storage_class" in first_bucket
82 |
83 | # Verify costs are sorted (highest first)
84 | if len(top_buckets) > 1:
85 | for i in range(len(top_buckets) - 1):
86 | assert top_buckets[i]["estimated_monthly_cost"] >= top_buckets[i + 1]["estimated_monthly_cost"], \
87 | "Buckets should be sorted by cost (highest first)"
88 | else:
89 | print(f"\nGeneral spend analysis failed: {general_spend.get('message')}")
90 | pytest.skip(f"General spend analysis failed: {general_spend.get('message')}")
91 |
92 |
93 | @pytest.mark.live
94 | @pytest.mark.asyncio
95 | async def test_bucket_cost_estimation():
96 | """Test that bucket cost estimation is working correctly."""
97 |
98 | arguments = {'region': 'us-east-1'}
99 | result = await run_s3_quick_analysis(arguments)
100 |
101 | data = json.loads(result[0]["text"])
102 |
103 | if data["status"] == "success":
104 | general_spend = data["results"].get("general_spend", {})
105 |
106 | if general_spend.get("status") == "success":
107 | bucket_costs = general_spend["data"].get("bucket_costs", {})
108 |
109 | # Check that we have bucket analysis data
110 | assert "by_bucket" in bucket_costs or "top_10_buckets" in bucket_costs
111 |
112 | # Verify total buckets analyzed
113 | if "total_buckets_analyzed" in bucket_costs:
114 | print(f"\nTotal buckets analyzed: {bucket_costs['total_buckets_analyzed']}")
115 |
116 | # Verify cost estimation method
117 | if "cost_estimation_method" in bucket_costs:
118 | print(f"Cost estimation method: {bucket_costs['cost_estimation_method']}")
119 | assert bucket_costs["cost_estimation_method"] in ["size_based", "cost_explorer"]
120 |
121 |
122 | if __name__ == "__main__":
123 | # Run the test directly
124 | asyncio.run(test_list_top_10_buckets())
125 |
```
--------------------------------------------------------------------------------
/tests/legacy/example_output_with_docs.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Example showing how documentation links appear in tool outputs
4 | """
5 |
6 | import json
7 | from utils.documentation_links import add_documentation_links
8 |
9 | def show_example_outputs():
10 | """Show examples of how documentation links appear in different tool outputs"""
11 |
12 | print("CFM Tips - Documentation Links Feature Examples")
13 | print("=" * 60)
14 | print()
15 |
16 | # Example 1: EC2 Right-sizing Analysis
17 | print("1. EC2 Right-sizing Analysis Output:")
18 | print("-" * 40)
19 | ec2_result = {
20 | "status": "success",
21 | "data": {
22 | "underutilized_instances": [
23 | {
24 | "instance_id": "i-1234567890abcdef0",
25 | "instance_type": "m5.large",
26 | "finding": "Overprovisioned",
27 | "recommendation": {
28 | "recommended_instance_type": "m5.medium",
29 | "estimated_monthly_savings": 45.50
30 | }
31 | }
32 | ],
33 | "count": 1,
34 | "total_monthly_savings": 45.50
35 | },
36 | "message": "Found 1 underutilized EC2 instances via Compute Optimizer"
37 | }
38 |
39 | enhanced_ec2 = add_documentation_links(ec2_result, "ec2")
40 | print(json.dumps(enhanced_ec2, indent=2))
41 | print("\n" + "=" * 60 + "\n")
42 |
43 | # Example 2: S3 Optimization Analysis
44 | print("2. S3 Optimization Analysis Output:")
45 | print("-" * 40)
46 | s3_result = {
47 | "status": "success",
48 | "comprehensive_s3_optimization": {
49 | "overview": {
50 | "total_potential_savings": "$1,250.75",
51 | "analyses_completed": "6/6",
52 | "failed_analyses": 0,
53 | "execution_time": "45.2s"
54 | },
55 | "key_findings": [
56 | "Found 15 buckets with suboptimal storage classes",
57 | "Identified $800 in potential lifecycle savings",
58 | "Discovered 25 incomplete multipart uploads"
59 | ],
60 | "top_recommendations": [
61 | {
62 | "type": "storage_class_optimization",
63 | "bucket": "my-data-bucket",
64 | "potential_savings": "$450.25/month",
65 | "action": "Transition to IA after 30 days"
66 | }
67 | ]
68 | }
69 | }
70 |
71 | enhanced_s3 = add_documentation_links(s3_result, "s3")
72 | print(json.dumps(enhanced_s3, indent=2))
73 | print("\n" + "=" * 60 + "\n")
74 |
75 | # Example 3: RDS Optimization Analysis
76 | print("3. RDS Optimization Analysis Output:")
77 | print("-" * 40)
78 | rds_result = {
79 | "status": "success",
80 | "data": {
81 | "underutilized_instances": [
82 | {
83 | "db_instance_identifier": "prod-database-1",
84 | "db_instance_class": "db.r5.xlarge",
85 | "finding": "Underutilized",
86 | "avg_cpu_utilization": 15.5,
87 | "recommendation": {
88 | "recommended_instance_class": "db.r5.large",
89 | "estimated_monthly_savings": 180.00
90 | }
91 | }
92 | ],
93 | "count": 1,
94 | "total_monthly_savings": 180.00
95 | },
96 | "message": "Found 1 underutilized RDS instances"
97 | }
98 |
99 | enhanced_rds = add_documentation_links(rds_result, "rds")
100 | print(json.dumps(enhanced_rds, indent=2))
101 | print("\n" + "=" * 60 + "\n")
102 |
103 | # Example 4: Lambda Optimization Analysis
104 | print("4. Lambda Optimization Analysis Output:")
105 | print("-" * 40)
106 | lambda_result = {
107 | "status": "success",
108 | "data": {
109 | "overprovisioned_functions": [
110 | {
111 | "function_name": "data-processor",
112 | "current_memory": 1024,
113 | "avg_memory_utilization": 35.2,
114 | "recommendation": {
115 | "recommended_memory": 512,
116 | "estimated_monthly_savings": 25.75
117 | }
118 | }
119 | ],
120 | "count": 1,
121 | "total_monthly_savings": 25.75
122 | },
123 | "message": "Found 1 overprovisioned Lambda functions"
124 | }
125 |
126 | enhanced_lambda = add_documentation_links(lambda_result, "lambda")
127 | print(json.dumps(enhanced_lambda, indent=2))
128 | print("\n" + "=" * 60 + "\n")
129 |
130 | # Example 5: General Cost Analysis (no specific service)
131 | print("5. General Cost Analysis Output:")
132 | print("-" * 40)
133 | general_result = {
134 | "status": "success",
135 | "data": {
136 | "total_monthly_cost": 5420.75,
137 | "potential_savings": 1250.50,
138 | "services_analyzed": ["EC2", "EBS", "RDS", "Lambda", "S3"],
139 | "optimization_opportunities": 47
140 | },
141 | "message": "Comprehensive cost analysis completed"
142 | }
143 |
144 | enhanced_general = add_documentation_links(general_result)
145 | print(json.dumps(enhanced_general, indent=2))
146 | print("\n" + "=" * 60 + "\n")
147 |
148 | print("Key Benefits of Documentation Links:")
149 | print("• Provides immediate access to AWS best practices")
150 | print("• Links to CFM-TIPs guidance and workshops")
151 | print("• References AWS Well-Architected Framework")
152 | print("• Service-specific playbooks for detailed guidance")
153 | print("• Consistent across all tool outputs")
154 | print("• Helps users understand optimization recommendations")
155 |
156 | if __name__ == "__main__":
157 | show_example_outputs()
```
--------------------------------------------------------------------------------
/services/optimization_hub.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | AWS Cost Optimization Hub service module.
3 |
4 | This module provides functions for interacting with the AWS Cost Optimization Hub API.
5 | """
6 |
7 | import logging
8 | from typing import Dict, List, Optional, Any
9 | import boto3
10 | from botocore.exceptions import ClientError
11 |
12 | logger = logging.getLogger(__name__)
13 |
14 | def get_recommendations(
15 | resource_type: Optional[str] = None,
16 | region: Optional[str] = None,
17 | account_id: Optional[str] = None,
18 | client_region: Optional[str] = None
19 | ) -> Dict[str, Any]:
20 | """
21 | Get cost optimization recommendations from AWS Cost Optimization Hub.
22 |
23 | Args:
24 | resource_type: Resource type to analyze (e.g., EC2, RDS)
25 | region: AWS region to filter recommendations
26 | account_id: AWS account ID to filter recommendations
27 | client_region: Region for the boto3 client (optional)
28 |
29 | Returns:
30 | Dictionary containing the optimization recommendations
31 | """
32 | try:
33 | # Create Cost Optimization Hub client
34 | if client_region:
35 | client = boto3.client('cost-optimization-hub', region_name=client_region)
36 | else:
37 | client = boto3.client('cost-optimization-hub')
38 |
39 | # Prepare filters based on parameters
40 | filters = {}
41 | if resource_type:
42 | filters['resourceType'] = {'values': [resource_type]}
43 | if region:
44 | filters['region'] = {'values': [region]}
45 | if account_id:
46 | filters['accountId'] = {'values': [account_id]}
47 |
48 | # Make the API call
49 | if filters:
50 | response = client.get_recommendations(filters=filters)
51 | else:
52 | response = client.get_recommendations()
53 |
54 | # Extract recommendation count
55 | recommendation_count = len(response.get('recommendations', []))
56 |
57 | return {
58 | "status": "success",
59 | "data": response,
60 | "message": f"Retrieved {recommendation_count} cost optimization recommendations"
61 | }
62 |
63 | except ClientError as e:
64 | logger.error(f"Error in Cost Optimization Hub API: {str(e)}")
65 | return {
66 | "status": "error",
67 | "message": f"Cost Optimization Hub API error: {str(e)}",
68 | "error_code": e.response['Error']['Code'] if 'Error' in e.response else "Unknown"
69 | }
70 |
71 | except Exception as e:
72 | logger.error(f"Unexpected error in Cost Optimization Hub service: {str(e)}")
73 | return {
74 | "status": "error",
75 | "message": f"Unexpected error: {str(e)}"
76 | }
77 |
78 | def get_recommendation_summary(
79 | client_region: Optional[str] = None
80 | ) -> Dict[str, Any]:
81 | """
82 | Get a summary of cost optimization recommendations.
83 |
84 | Args:
85 | client_region: Region for the boto3 client (optional)
86 |
87 | Returns:
88 | Dictionary containing the recommendation summary
89 | """
90 | try:
91 | # Create Cost Optimization Hub client
92 | if client_region:
93 | client = boto3.client('cost-optimization-hub', region_name=client_region)
94 | else:
95 | client = boto3.client('cost-optimization-hub')
96 |
97 | # Make the API call
98 | response = client.get_recommendation_summary()
99 |
100 | return {
101 | "status": "success",
102 | "data": response,
103 | "message": "Retrieved cost optimization recommendation summary"
104 | }
105 |
106 | except ClientError as e:
107 | logger.error(f"Error getting recommendation summary: {str(e)}")
108 | return {
109 | "status": "error",
110 | "message": f"Error getting recommendation summary: {str(e)}",
111 | "error_code": e.response['Error']['Code'] if 'Error' in e.response else "Unknown"
112 | }
113 |
114 | except Exception as e:
115 | logger.error(f"Unexpected error getting recommendation summary: {str(e)}")
116 | return {
117 | "status": "error",
118 | "message": f"Unexpected error: {str(e)}"
119 | }
120 |
121 | def get_savings_plans_recommendations(
122 | lookback_period: str = "SIXTY_DAYS",
123 | payment_option: str = "NO_UPFRONT",
124 | term: str = "ONE_YEAR",
125 | client_region: Optional[str] = None
126 | ) -> Dict[str, Any]:
127 | """
128 | Get Savings Plans recommendations from AWS Cost Optimization Hub.
129 |
130 | Args:
131 | lookback_period: Historical data period to analyze
132 | payment_option: Payment option for Savings Plans
133 | term: Term length for Savings Plans
134 | client_region: Region for the boto3 client (optional)
135 |
136 | Returns:
137 | Dictionary containing the Savings Plans recommendations
138 | """
139 | try:
140 | # Create Cost Optimization Hub client
141 | if client_region:
142 | client = boto3.client('cost-optimization-hub', region_name=client_region)
143 | else:
144 | client = boto3.client('cost-optimization-hub')
145 |
146 | # Make the API call
147 | response = client.get_savings_plans_recommendations(
148 | lookbackPeriod=lookback_period,
149 | paymentOption=payment_option,
150 | term=term
151 | )
152 |
153 | return {
154 | "status": "success",
155 | "data": response,
156 | "message": "Retrieved Savings Plans recommendations"
157 | }
158 |
159 | except ClientError as e:
160 | logger.error(f"Error getting Savings Plans recommendations: {str(e)}")
161 | return {
162 | "status": "error",
163 | "message": f"Error getting Savings Plans recommendations: {str(e)}",
164 | "error_code": e.response['Error']['Code'] if 'Error' in e.response else "Unknown"
165 | }
166 |
167 | except Exception as e:
168 | logger.error(f"Unexpected error getting Savings Plans recommendations: {str(e)}")
169 | return {
170 | "status": "error",
171 | "message": f"Unexpected error: {str(e)}"
172 | }
173 |
```
--------------------------------------------------------------------------------
/tests/run_cloudwatch_tests.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Test runner for CloudWatch optimization comprehensive testing suite.
4 |
5 | Runs all CloudWatch-related tests including unit tests, integration tests,
6 | performance tests, and cost constraint validation tests.
7 | """
8 |
9 | import sys
10 | import os
11 | import subprocess
12 | import argparse
13 | from pathlib import Path
14 |
15 |
16 | def run_command(cmd, description):
17 | """Run a command and return success status."""
18 | print(f"\n{'='*60}")
19 | print(f"Running: {description}")
20 | print(f"Command: {' '.join(cmd)}")
21 | print(f"{'='*60}")
22 |
23 | try:
24 | result = subprocess.run(cmd, check=True, capture_output=True, text=True)
25 | print("✅ PASSED")
26 | if result.stdout:
27 | print("STDOUT:", result.stdout)
28 | return True
29 | except subprocess.CalledProcessError as e:
30 | print("❌ FAILED")
31 | print("STDERR:", e.stderr)
32 | if e.stdout:
33 | print("STDOUT:", e.stdout)
34 | return False
35 |
36 |
37 | def main():
38 | parser = argparse.ArgumentParser(description="Run CloudWatch optimization tests")
39 | parser.add_argument("--unit", action="store_true", help="Run only unit tests")
40 | parser.add_argument("--integration", action="store_true", help="Run only integration tests")
41 | parser.add_argument("--performance", action="store_true", help="Run only performance tests")
42 | parser.add_argument("--cost-validation", action="store_true", help="Run only cost validation tests")
43 | parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
44 | parser.add_argument("--coverage", action="store_true", help="Run with coverage reporting")
45 | parser.add_argument("--parallel", "-n", type=int, help="Number of parallel workers")
46 |
47 | args = parser.parse_args()
48 |
49 | # Change to tests directory
50 | test_dir = Path(__file__).parent
51 | os.chdir(test_dir)
52 |
53 | # Base pytest command
54 | base_cmd = ["python", "-m", "pytest"]
55 |
56 | if args.verbose:
57 | base_cmd.append("-v")
58 |
59 | if args.parallel:
60 | base_cmd.extend(["-n", str(args.parallel)])
61 |
62 | if args.coverage:
63 | base_cmd.extend([
64 | "--cov=playbooks.cloudwatch",
65 | "--cov=services.cloudwatch_service",
66 | "--cov=services.cloudwatch_pricing",
67 | "--cov-report=html",
68 | "--cov-report=term-missing"
69 | ])
70 |
71 | # Test categories
72 | test_categories = []
73 |
74 | if args.unit or not any([args.unit, args.integration, args.performance, args.cost_validation]):
75 | test_categories.append(("Unit Tests", [
76 | "unit/analyzers/test_cloudwatch_base_analyzer.py",
77 | "unit/analyzers/test_cloudwatch_general_spend_analyzer.py",
78 | "unit/analyzers/test_metrics_optimization_analyzer.py",
79 | "unit/analyzers/test_logs_optimization_analyzer.py",
80 | "unit/analyzers/test_alarms_and_dashboards_analyzer.py",
81 | "unit/services/test_cloudwatch_service.py",
82 | "unit/services/test_cloudwatch_cost_controller.py",
83 | "unit/services/test_cloudwatch_query_service.py"
84 | ]))
85 |
86 | if args.integration or not any([args.unit, args.integration, args.performance, args.cost_validation]):
87 | test_categories.append(("Integration Tests", [
88 | "integration/test_cloudwatch_orchestrator_integration.py",
89 | "integration/test_cloudwatch_comprehensive_tool_integration.py"
90 | ]))
91 |
92 | if args.performance or not any([args.unit, args.integration, args.performance, args.cost_validation]):
93 | test_categories.append(("Performance Tests", [
94 | "performance/test_cloudwatch_parallel_execution.py"
95 | ]))
96 |
97 | if args.cost_validation or not any([args.unit, args.integration, args.performance, args.cost_validation]):
98 | test_categories.append(("Cost Constraint Validation Tests", [
99 | "unit/test_cloudwatch_cost_constraints.py"
100 | ]))
101 |
102 | # Run test categories
103 | all_passed = True
104 | results = {}
105 |
106 | for category_name, test_files in test_categories:
107 | print(f"\n🧪 Running {category_name}")
108 | print("=" * 80)
109 |
110 | category_passed = True
111 | for test_file in test_files:
112 | if os.path.exists(test_file):
113 | cmd = base_cmd + [test_file]
114 | success = run_command(cmd, f"{category_name}: {test_file}")
115 | if not success:
116 | category_passed = False
117 | all_passed = False
118 | else:
119 | print(f"⚠️ Test file not found: {test_file}")
120 | category_passed = False
121 | all_passed = False
122 |
123 | results[category_name] = category_passed
124 |
125 | # Run specific CloudWatch marker tests
126 | print(f"\n🧪 Running CloudWatch-specific marker tests")
127 | print("=" * 80)
128 |
129 | marker_tests = [
130 | ("No-Cost Validation", ["-m", "no_cost_validation"]),
131 | ("CloudWatch Unit Tests", ["-m", "unit and cloudwatch"]),
132 | ("CloudWatch Integration Tests", ["-m", "integration and cloudwatch"]),
133 | ("CloudWatch Performance Tests", ["-m", "performance and cloudwatch"])
134 | ]
135 |
136 | for test_name, marker_args in marker_tests:
137 | cmd = base_cmd + marker_args
138 | success = run_command(cmd, test_name)
139 | if not success:
140 | all_passed = False
141 | results[test_name] = success
142 |
143 | # Summary
144 | print(f"\n{'='*80}")
145 | print("TEST SUMMARY")
146 | print(f"{'='*80}")
147 |
148 | for category, passed in results.items():
149 | status = "✅ PASSED" if passed else "❌ FAILED"
150 | print(f"{category:<40} {status}")
151 |
152 | overall_status = "✅ ALL TESTS PASSED" if all_passed else "❌ SOME TESTS FAILED"
153 | print(f"\nOverall Result: {overall_status}")
154 |
155 | if args.coverage and all_passed:
156 | print(f"\n📊 Coverage report generated in htmlcov/index.html")
157 |
158 | return 0 if all_passed else 1
159 |
160 |
161 | if __name__ == "__main__":
162 | sys.exit(main())
```
--------------------------------------------------------------------------------
/services/cost_explorer.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | AWS Cost Explorer service module.
3 |
4 | This module provides functions for interacting with the AWS Cost Explorer API.
5 | """
6 |
7 | import logging
8 | from typing import Dict, List, Optional, Any
9 | import boto3
10 | from botocore.exceptions import ClientError
11 |
12 | logger = logging.getLogger(__name__)
13 |
14 | def get_cost_and_usage(
15 | start_date: str,
16 | end_date: str,
17 | granularity: str = "MONTHLY",
18 | metrics: List[str] = None,
19 | group_by: Optional[List[Dict[str, str]]] = None,
20 | filter_expr: Optional[Dict[str, Any]] = None,
21 | region: Optional[str] = None
22 | ) -> Dict[str, Any]:
23 | """
24 | Retrieve cost and usage data from AWS Cost Explorer.
25 |
26 | Args:
27 | start_date: Start date in YYYY-MM-DD format
28 | end_date: End date in YYYY-MM-DD format
29 | granularity: Time granularity (DAILY, MONTHLY, HOURLY)
30 | metrics: List of cost metrics to retrieve
31 | group_by: Optional grouping dimensions
32 | filter_expr: Optional filters
33 | region: AWS region (optional)
34 |
35 | Returns:
36 | Dictionary containing the Cost Explorer API response
37 | """
38 | try:
39 | # Set default metrics if not provided
40 | if metrics is None:
41 | metrics = ["BlendedCost", "UnblendedCost"]
42 |
43 | # Create Cost Explorer client
44 | if region:
45 | ce_client = boto3.client('ce', region_name=region)
46 | else:
47 | ce_client = boto3.client('ce')
48 |
49 | # Prepare the request parameters
50 | params = {
51 | 'TimePeriod': {
52 | 'Start': start_date,
53 | 'End': end_date
54 | },
55 | 'Granularity': granularity,
56 | 'Metrics': metrics
57 | }
58 |
59 | # Add optional parameters if provided
60 | if group_by:
61 | params['GroupBy'] = group_by
62 |
63 | if filter_expr:
64 | params['Filter'] = filter_expr
65 |
66 | # Make the API call
67 | response = ce_client.get_cost_and_usage(**params)
68 |
69 | return {
70 | "status": "success",
71 | "data": response,
72 | "message": f"Retrieved cost data from {start_date} to {end_date}"
73 | }
74 |
75 | except ClientError as e:
76 | logger.error(f"Error in Cost Explorer API: {str(e)}")
77 | return {
78 | "status": "error",
79 | "message": f"Cost Explorer API error: {str(e)}",
80 | "error_code": e.response['Error']['Code'] if 'Error' in e.response else "Unknown"
81 | }
82 |
83 | except Exception as e:
84 | logger.error(f"Unexpected error in Cost Explorer service: {str(e)}")
85 | return {
86 | "status": "error",
87 | "message": f"Unexpected error: {str(e)}"
88 | }
89 |
90 | def get_cost_forecast(
91 | start_date: str,
92 | end_date: str,
93 | granularity: str = "MONTHLY",
94 | metric: str = "BLENDED_COST",
95 | filter_expr: Optional[Dict[str, Any]] = None,
96 | region: Optional[str] = None
97 | ) -> Dict[str, Any]:
98 | """
99 | Get a cost forecast from AWS Cost Explorer.
100 |
101 | Args:
102 | start_date: Start date in YYYY-MM-DD format
103 | end_date: End date in YYYY-MM-DD format
104 | granularity: Time granularity (DAILY, MONTHLY)
105 | metric: Cost metric to forecast
106 | filter_expr: Optional filters
107 | region: AWS region (optional)
108 |
109 | Returns:
110 | Dictionary containing the Cost Explorer forecast response
111 | """
112 | try:
113 | # Create Cost Explorer client
114 | if region:
115 | ce_client = boto3.client('ce', region_name=region)
116 | else:
117 | ce_client = boto3.client('ce')
118 |
119 | # Prepare the request parameters
120 | params = {
121 | 'TimePeriod': {
122 | 'Start': start_date,
123 | 'End': end_date
124 | },
125 | 'Granularity': granularity,
126 | 'Metric': metric
127 | }
128 |
129 | # Add optional filter if provided
130 | if filter_expr:
131 | params['Filter'] = filter_expr
132 |
133 | # Make the API call
134 | response = ce_client.get_cost_forecast(**params)
135 |
136 | return {
137 | "status": "success",
138 | "data": response,
139 | "message": f"Retrieved cost forecast from {start_date} to {end_date}"
140 | }
141 |
142 | except ClientError as e:
143 | logger.error(f"Error in Cost Explorer forecast API: {str(e)}")
144 | return {
145 | "status": "error",
146 | "message": f"Cost Explorer forecast API error: {str(e)}",
147 | "error_code": e.response['Error']['Code'] if 'Error' in e.response else "Unknown"
148 | }
149 |
150 | except Exception as e:
151 | logger.error(f"Unexpected error in Cost Explorer forecast service: {str(e)}")
152 | return {
153 | "status": "error",
154 | "message": f"Unexpected error: {str(e)}"
155 | }
156 |
157 | def get_cost_categories(
158 | region: Optional[str] = None
159 | ) -> Dict[str, Any]:
160 | """
161 | List cost categories from AWS Cost Explorer.
162 |
163 | Args:
164 | region: AWS region (optional)
165 |
166 | Returns:
167 | Dictionary containing the cost categories
168 | """
169 | try:
170 | # Create Cost Explorer client
171 | if region:
172 | ce_client = boto3.client('ce', region_name=region)
173 | else:
174 | ce_client = boto3.client('ce')
175 |
176 | # Make the API call
177 | response = ce_client.list_cost_category_definitions()
178 |
179 | return {
180 | "status": "success",
181 | "data": response,
182 | "message": f"Retrieved {len(response.get('CostCategoryReferences', []))} cost categories"
183 | }
184 |
185 | except ClientError as e:
186 | logger.error(f"Error listing cost categories: {str(e)}")
187 | return {
188 | "status": "error",
189 | "message": f"Error listing cost categories: {str(e)}",
190 | "error_code": e.response['Error']['Code'] if 'Error' in e.response else "Unknown"
191 | }
192 |
193 | except Exception as e:
194 | logger.error(f"Unexpected error listing cost categories: {str(e)}")
195 | return {
196 | "status": "error",
197 | "message": f"Unexpected error: {str(e)}"
198 | }
199 |
```
--------------------------------------------------------------------------------
/tests/integration/cloudwatch/test_cloudwatch_integration.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Integration tests for CloudWatch functionality.
4 | """
5 |
6 | import asyncio
7 | import json
8 | import sys
9 | import os
10 | import pytest
11 |
12 | # Add the project root to the path
13 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../..'))
14 |
15 | from runbook_functions import run_cloudwatch_general_spend_analysis
16 |
17 |
18 | @pytest.mark.asyncio
19 | async def test_cloudwatch_timeout():
20 | """Test CloudWatch general spend analysis to replicate timeout issue."""
21 | print("Testing CloudWatch general spend analysis timeout issue...")
22 |
23 | try:
24 | # Test with minimal parameters that should trigger the timeout
25 | arguments = {
26 | "region": "us-east-1",
27 | "lookback_days": 7,
28 | "page": 1
29 | }
30 |
31 | print(f"Calling run_cloudwatch_general_spend_analysis with: {arguments}")
32 |
33 | # This should timeout and we should get a full stack trace
34 | result = await run_cloudwatch_general_spend_analysis(arguments)
35 |
36 | print("Result received:")
37 | for content in result:
38 | print(content.text)
39 |
40 | return True
41 |
42 | except Exception as e:
43 | print(f"Exception caught in test: {str(e)}")
44 | print("Full stack trace:")
45 | import traceback
46 | traceback.print_exc()
47 | return False
48 |
49 |
50 | @pytest.mark.asyncio
51 | async def test_stack_trace_capture():
52 | """Test that CloudWatch functions handle errors gracefully with structured responses."""
53 | print("Testing CloudWatch error handling...")
54 |
55 | # Test with invalid arguments that will cause an error
56 | arguments = {
57 | "region": "us-east-1",
58 | "lookback_days": "invalid_string", # This should cause a type error
59 | "page": 1
60 | }
61 |
62 | print(f"Calling run_cloudwatch_general_spend_analysis with invalid lookback_days: {arguments}")
63 |
64 | try:
65 | result = await run_cloudwatch_general_spend_analysis(arguments)
66 |
67 | print("Result received:")
68 | for content in result:
69 | result_text = content.text
70 | print(result_text)
71 |
72 | # Parse the JSON response to check for proper error handling
73 | import json
74 | try:
75 | response_data = json.loads(result_text)
76 |
77 | # Check if it's a proper error response with structured format
78 | if (response_data.get('status') == 'error' and
79 | 'error_message' in response_data and
80 | 'analysis_type' in response_data and
81 | 'timestamp' in response_data):
82 | print("✅ SUCCESS: Structured error response found")
83 | return True
84 | else:
85 | print("❌ FAILURE: Invalid error response structure")
86 | return False
87 |
88 | except json.JSONDecodeError:
89 | print("❌ FAILURE: Response is not valid JSON")
90 | return False
91 |
92 | except Exception as e:
93 | print(f"❌ FAILURE: Exception not handled properly: {str(e)}")
94 | return False
95 |
96 |
97 | def test_pricing_cache():
98 | """Test that pricing calls are cached and don't block."""
99 | print("Testing CloudWatch pricing cache fix...")
100 |
101 | try:
102 | from services.cloudwatch_pricing import CloudWatchPricing
103 | import time
104 |
105 | # Initialize pricing service
106 | pricing = CloudWatchPricing(region='us-east-1')
107 |
108 | # First call - should use fallback pricing and cache it
109 | print("Making first pricing call...")
110 | start_time = time.time()
111 | result1 = pricing.get_metrics_pricing()
112 | first_call_time = time.time() - start_time
113 |
114 | print(f"First call took {first_call_time:.3f} seconds")
115 | print(f"Status: {result1.get('status')}")
116 | print(f"Source: {result1.get('source')}")
117 |
118 | # Second call - should use cache and be instant
119 | print("\nMaking second pricing call...")
120 | start_time = time.time()
121 | result2 = pricing.get_metrics_pricing()
122 | second_call_time = time.time() - start_time
123 |
124 | print(f"Second call took {second_call_time:.3f} seconds")
125 | print(f"Status: {result2.get('status')}")
126 | print(f"Source: {result2.get('source')}")
127 |
128 | # Verify caching worked
129 | if second_call_time < 0.001: # Should be nearly instant
130 | print("✅ SUCCESS: Caching is working - second call was instant")
131 | return True
132 | else:
133 | print("❌ FAILURE: Caching not working - second call took too long")
134 | return False
135 |
136 | except Exception as e:
137 | print(f"❌ Error in pricing cache test: {str(e)}")
138 | return False
139 |
140 |
141 | async def run_cloudwatch_integration_tests():
142 | """Run all CloudWatch integration tests."""
143 | print("Starting CloudWatch Integration Tests")
144 | print("=" * 50)
145 |
146 | tests = [
147 | ("CloudWatch Timeout Handling", test_cloudwatch_timeout),
148 | ("Error Handling", test_stack_trace_capture),
149 | ("Pricing Cache", test_pricing_cache),
150 | ]
151 |
152 | passed = 0
153 | failed = 0
154 |
155 | for test_name, test_func in tests:
156 | try:
157 | if asyncio.iscoroutinefunction(test_func):
158 | result = await test_func()
159 | else:
160 | result = test_func()
161 |
162 | if result:
163 | print(f"✓ PASS: {test_name}")
164 | passed += 1
165 | else:
166 | print(f"✗ FAIL: {test_name}")
167 | failed += 1
168 | except Exception as e:
169 | print(f"✗ FAIL: {test_name} - Exception: {e}")
170 | failed += 1
171 |
172 | print("=" * 50)
173 | print(f"CloudWatch Integration Tests: {passed + failed} total, {passed} passed, {failed} failed")
174 |
175 | if failed == 0:
176 | print("🎉 ALL CLOUDWATCH INTEGRATION TESTS PASSED!")
177 | return True
178 | else:
179 | print(f"❌ {failed} CLOUDWATCH INTEGRATION TESTS FAILED")
180 | return False
181 |
182 | if __name__ == "__main__":
183 | success = asyncio.run(run_cloudwatch_integration_tests())
184 | sys.exit(0 if success else 1)
```
--------------------------------------------------------------------------------
/tests/unit/s3/live/test_s3_governance_bucket_discovery.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Live test to debug S3 governance check bucket discovery issue.
3 |
4 | This test will help identify why s3_governance_check returns 0 buckets
5 | when there are actually 40+ buckets in the account.
6 | """
7 |
8 | import asyncio
9 | import logging
10 | import pytest
11 | from typing import Dict, Any
12 |
13 | # Set up logging to see debug messages
14 | logging.basicConfig(level=logging.DEBUG)
15 | logger = logging.getLogger(__name__)
16 |
17 | @pytest.mark.live
18 | async def test_s3_bucket_discovery_debug():
19 | """
20 | Debug the S3 bucket discovery mechanism used by governance check.
21 |
22 | This test will step through the bucket discovery process to identify
23 | where the silent failure is occurring.
24 | """
25 |
26 | # Test 1: Direct S3Service bucket listing
27 | logger.info("=== Test 1: Direct S3Service bucket listing ===")
28 | try:
29 | from services.s3_service import S3Service
30 |
31 | s3_service = S3Service(region='us-east-1')
32 | logger.info(f"S3Service initialized: {s3_service}")
33 |
34 | # Test the list_buckets method directly
35 | buckets_result = await s3_service.list_buckets()
36 | logger.info(f"S3Service.list_buckets() result: {buckets_result}")
37 |
38 | if buckets_result.get("status") == "success":
39 | buckets = buckets_result.get("data", {}).get("Buckets", [])
40 | logger.info(f"Found {len(buckets)} buckets via S3Service")
41 | for i, bucket in enumerate(buckets[:5]): # Show first 5
42 | logger.info(f" Bucket {i+1}: {bucket.get('Name')} (Region: {bucket.get('Region', 'unknown')})")
43 | else:
44 | logger.error(f"S3Service.list_buckets() failed: {buckets_result}")
45 |
46 | except Exception as e:
47 | logger.error(f"Error in S3Service test: {str(e)}")
48 |
49 | # Test 2: Direct boto3 client call
50 | logger.info("\n=== Test 2: Direct boto3 client call ===")
51 | try:
52 | import boto3
53 | from botocore.exceptions import ClientError
54 |
55 | s3_client = boto3.client('s3', region_name='us-east-1')
56 | logger.info(f"Boto3 S3 client created: {s3_client}")
57 |
58 | # Direct list_buckets call
59 | response = s3_client.list_buckets()
60 | buckets = response.get('Buckets', [])
61 | logger.info(f"Found {len(buckets)} buckets via direct boto3 call")
62 |
63 | for i, bucket in enumerate(buckets[:5]): # Show first 5
64 | logger.info(f" Bucket {i+1}: {bucket.get('Name')} (Created: {bucket.get('CreationDate')})")
65 |
66 | except ClientError as e:
67 | logger.error(f"AWS ClientError in direct boto3 test: {e}")
68 | except Exception as e:
69 | logger.error(f"Error in direct boto3 test: {str(e)}")
70 |
71 | # Test 3: GovernanceAnalyzer bucket discovery
72 | logger.info("\n=== Test 3: GovernanceAnalyzer bucket discovery ===")
73 | try:
74 | from playbooks.s3.analyzers.governance_analyzer import GovernanceAnalyzer
75 | from services.s3_service import S3Service
76 |
77 | s3_service = S3Service(region='us-east-1')
78 | analyzer = GovernanceAnalyzer(s3_service=s3_service)
79 | logger.info(f"GovernanceAnalyzer initialized: {analyzer}")
80 |
81 | # Test the _get_buckets_to_analyze method
82 | context = {'region': 'us-east-1'}
83 | buckets_to_analyze = await analyzer._get_buckets_to_analyze(context)
84 | logger.info(f"GovernanceAnalyzer._get_buckets_to_analyze() returned: {len(buckets_to_analyze)} buckets")
85 |
86 | for i, bucket_name in enumerate(buckets_to_analyze[:5]): # Show first 5
87 | logger.info(f" Bucket {i+1}: {bucket_name}")
88 |
89 | except Exception as e:
90 | logger.error(f"Error in GovernanceAnalyzer test: {str(e)}")
91 |
92 | # Test 4: Full governance analysis
93 | logger.info("\n=== Test 4: Full governance analysis ===")
94 | try:
95 | from playbooks.s3.s3_optimization_orchestrator import S3OptimizationOrchestrator
96 |
97 | orchestrator = S3OptimizationOrchestrator(region='us-east-1')
98 | logger.info(f"S3OptimizationOrchestrator initialized: {orchestrator}")
99 |
100 | # Execute governance analysis
101 | result = await orchestrator.execute_analysis("governance", region='us-east-1')
102 | logger.info(f"Governance analysis result status: {result.get('status')}")
103 | logger.info(f"Total buckets analyzed: {result.get('data', {}).get('total_buckets_analyzed', 0)}")
104 |
105 | if result.get('status') == 'error':
106 | logger.error(f"Governance analysis error: {result.get('message')}")
107 |
108 | except Exception as e:
109 | logger.error(f"Error in full governance analysis test: {str(e)}")
110 |
111 | # Test 5: Check AWS credentials and permissions
112 | logger.info("\n=== Test 5: AWS credentials and permissions check ===")
113 | try:
114 | import boto3
115 |
116 | # Check STS identity
117 | sts_client = boto3.client('sts', region_name='us-east-1')
118 | identity = sts_client.get_caller_identity()
119 | logger.info(f"AWS Identity: {identity}")
120 |
121 | # Test S3 permissions
122 | s3_client = boto3.client('s3', region_name='us-east-1')
123 |
124 | # Test list_buckets permission
125 | try:
126 | response = s3_client.list_buckets()
127 | logger.info(f"list_buckets permission: OK ({len(response.get('Buckets', []))} buckets)")
128 | except ClientError as e:
129 | logger.error(f"list_buckets permission: DENIED - {e}")
130 |
131 | # Test get_bucket_location permission on first bucket
132 | try:
133 | response = s3_client.list_buckets()
134 | if response.get('Buckets'):
135 | first_bucket = response['Buckets'][0]['Name']
136 | location = s3_client.get_bucket_location(Bucket=first_bucket)
137 | logger.info(f"get_bucket_location permission: OK (tested on {first_bucket})")
138 | else:
139 | logger.warning("No buckets to test get_bucket_location permission")
140 | except ClientError as e:
141 | logger.error(f"get_bucket_location permission: DENIED - {e}")
142 |
143 | except Exception as e:
144 | logger.error(f"Error in credentials/permissions test: {str(e)}")
145 |
146 | if __name__ == "__main__":
147 | # Run the test directly
148 | asyncio.run(test_s3_bucket_discovery_debug())
```
--------------------------------------------------------------------------------
/tests/unit/analyzers/conftest_cloudwatch.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | CloudWatch-specific pytest configuration and fixtures.
3 |
4 | This module provides CloudWatch-specific fixtures for testing analyzers and services.
5 | """
6 |
7 | import pytest
8 | import boto3
9 | from unittest.mock import Mock, AsyncMock
10 | from datetime import datetime, timedelta
11 | from moto import mock_aws
12 |
13 | from services.cloudwatch_service import CloudWatchOperationResult
14 |
15 |
16 | @pytest.fixture
17 | def mock_aws_credentials():
18 | """Mock AWS credentials for testing."""
19 | import os
20 | with patch.dict(os.environ, {
21 | 'AWS_ACCESS_KEY_ID': 'testing',
22 | 'AWS_SECRET_ACCESS_KEY': 'testing',
23 | 'AWS_SECURITY_TOKEN': 'testing',
24 | 'AWS_SESSION_TOKEN': 'testing',
25 | 'AWS_DEFAULT_REGION': 'us-east-1'
26 | }):
27 | yield
28 |
29 |
30 | @pytest.fixture
31 | def mock_cloudwatch_client(mock_aws_credentials):
32 | """Mock CloudWatch client with moto."""
33 | with mock_aws():
34 | yield boto3.client('cloudwatch', region_name='us-east-1')
35 |
36 |
37 | @pytest.fixture
38 | def mock_logs_client(mock_aws_credentials):
39 | """Mock CloudWatch Logs client with moto."""
40 | with mock_aws():
41 | yield boto3.client('logs', region_name='us-east-1')
42 |
43 |
44 | @pytest.fixture
45 | def mock_ce_client(mock_aws_credentials):
46 | """Mock Cost Explorer client with moto."""
47 | with mock_aws():
48 | yield boto3.client('ce', region_name='us-east-1')
49 |
50 |
51 | @pytest.fixture
52 | def sample_cloudwatch_cost_data():
53 | """Sample CloudWatch Cost Explorer response data."""
54 | return {
55 | "ResultsByTime": [
56 | {
57 | "TimePeriod": {
58 | "Start": "2024-01-01",
59 | "End": "2024-01-02"
60 | },
61 | "Groups": [
62 | {
63 | "Keys": ["DataIngestion-Bytes"],
64 | "Metrics": {
65 | "UnblendedCost": {"Amount": "5.25", "Unit": "USD"},
66 | "UsageQuantity": {"Amount": "10.5", "Unit": "GB"}
67 | }
68 | },
69 | {
70 | "Keys": ["DataStorage-ByteHrs"],
71 | "Metrics": {
72 | "UnblendedCost": {"Amount": "2.10", "Unit": "USD"},
73 | "UsageQuantity": {"Amount": "70.0", "Unit": "GB-Hours"}
74 | }
75 | }
76 | ]
77 | }
78 | ]
79 | }
80 |
81 |
82 | @pytest.fixture
83 | def sample_cloudwatch_alarms():
84 | """Sample CloudWatch alarms data."""
85 | return [
86 | {
87 | "AlarmName": "test-alarm-1",
88 | "AlarmDescription": "Test alarm with actions",
89 | "StateValue": "OK",
90 | "AlarmActions": ["arn:aws:sns:us-east-1:123456789012:test-topic"],
91 | "Period": 300,
92 | "MetricName": "CPUUtilization"
93 | },
94 | {
95 | "AlarmName": "test-alarm-2",
96 | "AlarmDescription": "Test alarm without actions",
97 | "StateValue": "INSUFFICIENT_DATA",
98 | "AlarmActions": [],
99 | "Period": 60, # High resolution
100 | "MetricName": "NetworkIn"
101 | }
102 | ]
103 |
104 |
105 | @pytest.fixture
106 | def sample_cloudwatch_log_groups():
107 | """Sample CloudWatch log groups data."""
108 | return [
109 | {
110 | "logGroupName": "/aws/lambda/test-function",
111 | "creationTime": int((datetime.now() - timedelta(days=30)).timestamp() * 1000),
112 | "retentionInDays": 14,
113 | "storedBytes": 1024000
114 | },
115 | {
116 | "logGroupName": "/aws/apigateway/test-api",
117 | "creationTime": int((datetime.now() - timedelta(days=400)).timestamp() * 1000),
118 | "storedBytes": 2048000
119 | # No retention policy
120 | }
121 | ]
122 |
123 |
124 | @pytest.fixture
125 | def mock_cloudwatch_pricing_service():
126 | """Mock CloudWatch pricing service instance."""
127 | service = Mock()
128 | service.region = "us-east-1"
129 |
130 | def mock_get_logs_pricing():
131 | return {
132 | "status": "success",
133 | "logs_pricing": {
134 | "ingestion_per_gb": 0.50,
135 | "storage_per_gb_month": 0.03,
136 | "insights_per_gb_scanned": 0.005
137 | }
138 | }
139 |
140 | def mock_calculate_logs_cost(log_groups_data):
141 | total_cost = 0.0
142 | for log_group in log_groups_data:
143 | stored_gb = log_group.get('storedBytes', 0) / (1024**3)
144 | total_cost += stored_gb * 0.03
145 |
146 | return {
147 | "status": "success",
148 | "total_monthly_cost": total_cost,
149 | "cost_breakdown": {
150 | "storage_cost": total_cost,
151 | "ingestion_cost": 0.0,
152 | "insights_cost": 0.0
153 | }
154 | }
155 |
156 | service.get_logs_pricing = mock_get_logs_pricing
157 | service.calculate_logs_cost = mock_calculate_logs_cost
158 |
159 | return service
160 |
161 |
162 | @pytest.fixture
163 | def mock_cloudwatch_service():
164 | """Mock CloudWatch service instance."""
165 | service = Mock()
166 | service.region = "us-east-1"
167 | service.operation_count = 0
168 | service.cost_incurring_operations = []
169 | service.total_execution_time = 0.0
170 |
171 | # Mock async methods
172 | async def mock_list_metrics(namespace=None, metric_name=None, dimensions=None):
173 | return CloudWatchOperationResult(
174 | success=True,
175 | data={
176 | 'metrics': [
177 | {'Namespace': 'AWS/EC2', 'MetricName': 'CPUUtilization'},
178 | {'Namespace': 'Custom/App', 'MetricName': 'RequestCount'}
179 | ],
180 | 'total_count': 2
181 | },
182 | operation_name='list_metrics',
183 | operation_type='free'
184 | )
185 |
186 | async def mock_describe_alarms(alarm_names=None):
187 | return CloudWatchOperationResult(
188 | success=True,
189 | data={
190 | 'alarms': [
191 | {
192 | 'AlarmName': 'test-alarm',
193 | 'StateValue': 'OK',
194 | 'AlarmActions': ['arn:aws:sns:us-east-1:123456789012:test-topic'],
195 | 'Period': 300
196 | }
197 | ],
198 | 'total_count': 1,
199 | 'analysis': {
200 | 'total_alarms': 1,
201 | 'alarms_by_state': {'OK': 1},
202 | 'alarms_without_actions': []
203 | }
204 | },
205 | operation_name='describe_alarms',
206 | operation_type='free'
207 | )
208 |
209 | service.list_metrics = mock_list_metrics
210 | service.describe_alarms = mock_describe_alarms
211 |
212 | return service
```
--------------------------------------------------------------------------------
/test_runbooks.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Test script for CFM Tips AWS Cost Optimization MCP Server
4 | """
5 |
6 | import sys
7 | import os
8 |
9 | # Add current directory to path
10 | sys.path.append(os.path.dirname(os.path.abspath(__file__)))
11 |
12 | def test_imports():
13 | """Test that all imports work correctly."""
14 | print("Testing imports...")
15 |
16 | try:
17 | # Test MCP server imports
18 | from mcp.server import Server
19 | from mcp.server.stdio import stdio_server
20 | from mcp.types import Tool, TextContent
21 | print("✅ MCP imports successful")
22 |
23 | # Test AWS imports
24 | import boto3
25 | from botocore.exceptions import ClientError, NoCredentialsError
26 | print("✅ AWS imports successful")
27 |
28 | # Test runbook functions import
29 | from runbook_functions import (
30 | run_ec2_right_sizing_analysis,
31 | generate_ec2_right_sizing_report,
32 | run_ebs_optimization_analysis,
33 | identify_unused_ebs_volumes,
34 | generate_ebs_optimization_report,
35 | run_rds_optimization_analysis,
36 | identify_idle_rds_instances,
37 | generate_rds_optimization_report,
38 | run_lambda_optimization_analysis,
39 | identify_unused_lambda_functions,
40 | generate_lambda_optimization_report,
41 | run_comprehensive_cost_analysis,
42 | get_management_trails,
43 | run_cloudtrail_trails_analysis,
44 | generate_cloudtrail_report
45 | )
46 | print("✅ Runbook functions import successful")
47 |
48 | return True
49 |
50 | except ImportError as e:
51 | print(f"❌ Import error: {e}")
52 | return False
53 | except Exception as e:
54 | print(f"❌ Unexpected error: {e}")
55 | return False
56 |
57 | def test_server_creation():
58 | """Test that the MCP server can be created."""
59 | print("\nTesting server creation...")
60 |
61 | try:
62 | # Import the server module
63 | import mcp_server_with_runbooks
64 | print("✅ Server module imported successfully")
65 |
66 | # Check if server is created
67 | if hasattr(mcp_server_with_runbooks, 'server'):
68 | print("✅ Server object created successfully")
69 |
70 | # Check server name
71 | if mcp_server_with_runbooks.server.name == "cfm_tips":
72 | print("✅ Server name is correct: cfm_tips")
73 | else:
74 | print(f"⚠️ Server name: {mcp_server_with_runbooks.server.name}")
75 |
76 | return True
77 | else:
78 | print("❌ Server object not found")
79 | return False
80 |
81 | except Exception as e:
82 | print(f"❌ Server creation error: {str(e)}")
83 | return False
84 |
85 | def test_cloudtrail_functions():
86 | """Test CloudTrail optimization functions."""
87 | print("\nTesting CloudTrail functions...")
88 |
89 | try:
90 | from runbook_functions import (
91 | get_management_trails,
92 | run_cloudtrail_trails_analysis,
93 | generate_cloudtrail_report
94 | )
95 | print("✅ CloudTrail functions imported successfully")
96 |
97 | # Test function signatures
98 | import inspect
99 |
100 | # Check get_management_trails
101 | sig = inspect.signature(get_management_trails)
102 | if 'arguments' in sig.parameters:
103 | print("✅ get_management_trails has correct signature")
104 | else:
105 | print("❌ get_management_trails signature incorrect")
106 | return False
107 |
108 | # Check run_cloudtrail_trails_analysis
109 | sig = inspect.signature(run_cloudtrail_trails_analysis)
110 | if 'arguments' in sig.parameters:
111 | print("✅ run_cloudtrail_trails_analysis has correct signature")
112 | else:
113 | print("❌ run_cloudtrail_trails_analysis signature incorrect")
114 | return False
115 |
116 | # Check generate_cloudtrail_report
117 | sig = inspect.signature(generate_cloudtrail_report)
118 | if 'arguments' in sig.parameters:
119 | print("✅ generate_cloudtrail_report has correct signature")
120 | else:
121 | print("❌ generate_cloudtrail_report signature incorrect")
122 | return False
123 |
124 | return True
125 |
126 | except ImportError as e:
127 | print(f"❌ CloudTrail import error: {e}")
128 | return False
129 | except Exception as e:
130 | print(f"❌ CloudTrail test error: {e}")
131 | return False
132 |
133 | def test_tool_names():
134 | """Test that tool names are within MCP limits."""
135 | print("\nTesting tool name lengths...")
136 |
137 | server_name = "cfm_tips"
138 | sample_tools = [
139 | "ec2_rightsizing",
140 | "ebs_optimization",
141 | "rds_idle",
142 | "lambda_unused",
143 | "comprehensive_analysis",
144 | "get_coh_recommendations",
145 | "cloudtrail_optimization"
146 | ]
147 |
148 | max_length = 0
149 | for tool in sample_tools:
150 | combined = f"{server_name}___{tool}"
151 | length = len(combined)
152 | max_length = max(max_length, length)
153 |
154 | if length > 64:
155 | print(f"❌ Tool name too long: {combined} ({length} chars)")
156 | return False
157 |
158 | print(f"✅ All tool names within limit (max: {max_length} chars)")
159 | return True
160 |
161 | def main():
162 | """Run all tests."""
163 | print("CFM Tips AWS Cost Optimization MCP Server - Integration Test")
164 | print("=" * 65)
165 |
166 | tests_passed = 0
167 | total_tests = 4
168 |
169 | # Test imports
170 | if test_imports():
171 | tests_passed += 1
172 |
173 | # Test server creation
174 | if test_server_creation():
175 | tests_passed += 1
176 |
177 | # Test CloudTrail functions
178 | if test_cloudtrail_functions():
179 | tests_passed += 1
180 |
181 | # Test tool names
182 | if test_tool_names():
183 | tests_passed += 1
184 |
185 | print(f"\n" + "=" * 65)
186 | print(f"Tests passed: {tests_passed}/{total_tests}")
187 |
188 | if tests_passed == total_tests:
189 | print("✅ All integration tests passed!")
190 | print("\nNext steps:")
191 | print("1. Configure AWS credentials: aws configure")
192 | print("2. Apply the correct IAM permissions (see CORRECTED_PERMISSIONS.md)")
193 | print("3. Start the server: q chat --mcp-config \"$(pwd)/mcp_runbooks.json\"")
194 | print("4. Test with: \"Run comprehensive cost analysis for us-east-1\"")
195 | print("\n🎉 CFM Tips is ready to help optimize your AWS costs!")
196 | return True
197 | else:
198 | print("❌ Some tests failed. Check the errors above.")
199 | return False
200 |
201 | if __name__ == "__main__":
202 | success = main()
203 | sys.exit(0 if success else 1)
204 |
```
--------------------------------------------------------------------------------
/tests/legacy/test_runbook_integration.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 |
4 | This script tests that the runbook functions work correctly with the new S3OptimizationOrchestrator.
5 | """
6 |
7 | import asyncio
8 | import json
9 | import logging
10 | import sys
11 | from typing import Dict, Any
12 |
13 | # Configure logging
14 | logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
15 | logger = logging.getLogger(__name__)
16 |
17 | async def test_s3_playbook_functions():
18 | """Test S3 playbook functions with orchestrator."""
19 | logger.info("=== Testing S3 Playbook Functions ===")
20 |
21 | try:
22 | # Import S3 functions directly from orchestrator
23 | from playbooks.s3.s3_optimization_orchestrator import (
24 | run_s3_quick_analysis,
25 | run_s3_general_spend_analysis,
26 | run_s3_comprehensive_optimization_tool
27 | )
28 |
29 | # Test arguments for S3 functions
30 | test_args = {
31 | "region": "us-east-1",
32 | "lookback_days": 7,
33 | "timeout_seconds": 30,
34 | "store_results": True
35 | }
36 |
37 | # Test general spend analysis
38 | logger.info("Testing general spend analysis...")
39 | result = await run_s3_general_spend_analysis(test_args)
40 |
41 | if not result or not isinstance(result, list):
42 | logger.error("✗ General spend analysis returned invalid result")
43 | return False
44 |
45 | # Parse the result
46 | try:
47 | result_data = json.loads(result[0].text)
48 | if result_data.get("status") not in ["success", "error"]:
49 | logger.error(f"✗ Unexpected status: {result_data.get('status')}")
50 | return False
51 | logger.info(f"✓ General spend analysis: {result_data.get('status')}")
52 | except Exception as e:
53 | logger.error(f"✗ Failed to parse result: {e}")
54 | return False
55 |
56 | # Test comprehensive analysis
57 | logger.info("Testing comprehensive analysis...")
58 | comprehensive_args = test_args.copy()
59 | comprehensive_args["timeout_seconds"] = 60
60 |
61 | result = await run_s3_comprehensive_optimization_tool(comprehensive_args)
62 |
63 | if not result or not isinstance(result, list):
64 | logger.error("✗ Comprehensive analysis returned invalid result")
65 | return False
66 |
67 | try:
68 | result_data = json.loads(result[0].text)
69 | if result_data.get("status") not in ["success", "error"]:
70 | logger.error(f"✗ Unexpected comprehensive status: {result_data.get('status')}")
71 | return False
72 | logger.info(f"✓ Comprehensive analysis: {result_data.get('status')}")
73 | except Exception as e:
74 | logger.error(f"✗ Failed to parse comprehensive result: {e}")
75 | return False
76 |
77 | logger.info("✓ All S3 runbook functions working with new orchestrator")
78 | return True
79 |
80 | except Exception as e:
81 | logger.error(f"✗ S3 runbook function test failed: {e}")
82 | return False
83 |
84 | async def test_session_data_storage():
85 | """Test that session data is being stored correctly."""
86 | logger.info("=== Testing Session Data Storage ===")
87 |
88 | try:
89 | from playbooks.s3.s3_optimization_orchestrator import S3OptimizationOrchestrator
90 |
91 | orchestrator = S3OptimizationOrchestrator(region="us-east-1")
92 |
93 | # Run an analysis that should store data
94 | result = await orchestrator.execute_analysis(
95 | analysis_type="general_spend",
96 | region="us-east-1",
97 | lookback_days=7,
98 | store_results=True
99 | )
100 |
101 | if result.get("status") != "success":
102 | logger.warning(f"Analysis not successful: {result.get('status')}")
103 | return True # Still pass if analysis runs but has issues
104 |
105 | # Check that tables were created
106 | tables = orchestrator.get_stored_tables()
107 | if not tables:
108 | logger.warning("No tables found after analysis")
109 | return True # Still pass - may be expected in test environment
110 |
111 | logger.info(f"✓ Session data storage working: {len(tables)} tables created")
112 | return True
113 |
114 | except Exception as e:
115 | logger.error(f"✗ Session data storage test failed: {e}")
116 | return False
117 |
118 | async def test_no_cost_compliance():
119 | """Test that no cost-incurring operations are performed."""
120 | logger.info("=== Testing No-Cost Compliance ===")
121 |
122 | try:
123 | from services.s3_service import S3Service
124 |
125 | service = S3Service(region="us-east-1")
126 |
127 | # Check operation stats
128 | stats = service.get_operation_stats()
129 |
130 | # Verify only allowed operations were called
131 | forbidden_ops = {'list_objects', 'list_objects_v2', 'head_object', 'get_object'}
132 | called_forbidden = set(stats.keys()).intersection(forbidden_ops)
133 |
134 | if called_forbidden:
135 | logger.error(f"✗ Forbidden operations called: {called_forbidden}")
136 | return False
137 |
138 | logger.info(f"✓ No-cost compliance verified: {len(stats)} allowed operations called")
139 | return True
140 |
141 | except Exception as e:
142 | logger.error(f"✗ No-cost compliance test failed: {e}")
143 | return False
144 |
145 | async def run_integration_tests():
146 | """Run all integration tests."""
147 | logger.info("Starting Runbook Integration Tests")
148 | logger.info("=" * 50)
149 |
150 | tests = [
151 | ("S3 Playbook Functions", test_s3_playbook_functions),
152 | ("Session Data Storage", test_session_data_storage),
153 | ("No-Cost Compliance", test_no_cost_compliance),
154 | ]
155 |
156 | passed = 0
157 | failed = 0
158 |
159 | for test_name, test_func in tests:
160 | try:
161 | result = await test_func()
162 | if result:
163 | logger.info(f"✓ PASS: {test_name}")
164 | passed += 1
165 | else:
166 | logger.error(f"✗ FAIL: {test_name}")
167 | failed += 1
168 | except Exception as e:
169 | logger.error(f"✗ FAIL: {test_name} - Exception: {e}")
170 | failed += 1
171 |
172 | logger.info("=" * 50)
173 | logger.info(f"Integration Tests: {passed + failed} total, {passed} passed, {failed} failed")
174 |
175 | if failed == 0:
176 | logger.info("🎉 ALL INTEGRATION TESTS PASSED!")
177 | return True
178 | else:
179 | logger.error(f"❌ {failed} INTEGRATION TESTS FAILED")
180 | return False
181 |
182 | if __name__ == "__main__":
183 | success = asyncio.run(run_integration_tests())
184 | sys.exit(0 if success else 1)
```
--------------------------------------------------------------------------------
/tests/unit/cloudwatch/test_cache_control.py:
--------------------------------------------------------------------------------
```python
1 | """
2 | Test Cache Control for CloudWatch Optimization
3 |
4 | Demonstrates how to control caching behavior for testing purposes.
5 | """
6 |
7 | import pytest
8 | import os
9 | from utils.cache_decorator import (
10 | dao_cache,
11 | is_cache_enabled,
12 | enable_cache,
13 | disable_cache,
14 | clear_cache,
15 | get_cache_stats
16 | )
17 |
18 |
19 | class TestCacheControl:
20 | """Test cache control functionality."""
21 |
22 | def test_cache_enabled_by_default(self):
23 | """Test that cache is enabled by default."""
24 | # Cache should be enabled by default (unless CFM_ENABLE_CACHE=false)
25 | assert is_cache_enabled() in (True, False) # Depends on environment
26 |
27 | def test_disable_cache_programmatically(self):
28 | """Test disabling cache programmatically."""
29 | # Save original state
30 | original_state = is_cache_enabled()
31 |
32 | try:
33 | # Disable cache
34 | disable_cache()
35 | assert is_cache_enabled() is False
36 |
37 | # Enable cache
38 | enable_cache()
39 | assert is_cache_enabled() is True
40 | finally:
41 | # Restore original state
42 | if original_state:
43 | enable_cache()
44 | else:
45 | disable_cache()
46 |
47 | def test_cache_decorator_respects_global_setting(self):
48 | """Test that decorator respects global cache setting."""
49 | call_count = 0
50 |
51 | @dao_cache(ttl_seconds=60)
52 | def test_function(value):
53 | nonlocal call_count
54 | call_count += 1
55 | return value * 2
56 |
57 | # Save original state
58 | original_state = is_cache_enabled()
59 |
60 | try:
61 | # Test with cache enabled
62 | enable_cache()
63 | clear_cache()
64 | call_count = 0
65 |
66 | result1 = test_function(5)
67 | result2 = test_function(5)
68 |
69 | assert result1 == 10
70 | assert result2 == 10
71 | assert call_count == 1 # Should only call once due to caching
72 |
73 | # Test with cache disabled
74 | disable_cache()
75 | clear_cache()
76 | call_count = 0
77 |
78 | result1 = test_function(5)
79 | result2 = test_function(5)
80 |
81 | assert result1 == 10
82 | assert result2 == 10
83 | assert call_count == 2 # Should call twice without caching
84 | finally:
85 | # Restore original state
86 | if original_state:
87 | enable_cache()
88 | else:
89 | disable_cache()
90 |
91 | def test_cache_decorator_with_enabled_parameter(self):
92 | """Test that decorator enabled parameter overrides global setting."""
93 | call_count = 0
94 |
95 | @dao_cache(ttl_seconds=60, enabled=False)
96 | def always_uncached(value):
97 | nonlocal call_count
98 | call_count += 1
99 | return value * 2
100 |
101 | # Save original state
102 | original_state = is_cache_enabled()
103 |
104 | try:
105 | # Even with cache enabled globally, this function should not cache
106 | enable_cache()
107 | clear_cache()
108 | call_count = 0
109 |
110 | result1 = always_uncached(5)
111 | result2 = always_uncached(5)
112 |
113 | assert result1 == 10
114 | assert result2 == 10
115 | assert call_count == 2 # Should call twice (caching disabled)
116 | finally:
117 | # Restore original state
118 | if original_state:
119 | enable_cache()
120 | else:
121 | disable_cache()
122 |
123 | def test_cache_stats(self):
124 | """Test cache statistics.
125 |
126 | NOTE: This test uses 'page' parameter which is in the important_params list
127 | of _generate_cache_key(). Using other parameters may not generate unique
128 | cache keys due to the selective parameter inclusion in the cache decorator.
129 | """
130 | # Save original state
131 | original_state = is_cache_enabled()
132 |
133 | try:
134 | enable_cache()
135 | clear_cache()
136 |
137 | # Define function after clearing cache to ensure clean state
138 | # Use 'page' parameter which is in the cache decorator's important_params list
139 | @dao_cache(ttl_seconds=60)
140 | def test_function(page=1):
141 | return page * 2
142 |
143 | # Make some calls using page parameter (which IS in important_params)
144 | result1 = test_function(page=1) # MISS
145 | result2 = test_function(page=1) # HIT
146 | result3 = test_function(page=2) # MISS
147 | result4 = test_function(page=2) # HIT
148 |
149 | # Verify results are correct
150 | assert result1 == 2
151 | assert result2 == 2
152 | assert result3 == 4
153 | assert result4 == 4
154 |
155 | stats = get_cache_stats()
156 |
157 | assert 'hits' in stats
158 | assert 'misses' in stats
159 | assert 'hit_rate' in stats
160 | assert 'enabled' in stats
161 | assert stats['enabled'] is True
162 | # The test expects exactly 2 hits and 2 misses
163 | assert stats['hits'] == 2, f"Expected 2 hits but got {stats['hits']}"
164 | assert stats['misses'] == 2, f"Expected 2 misses but got {stats['misses']}"
165 | finally:
166 | # Restore original state
167 | clear_cache()
168 | if original_state:
169 | enable_cache()
170 | else:
171 | disable_cache()
172 |
173 |
174 | class TestCacheEnvironmentVariable:
175 | """Test cache control via environment variable."""
176 |
177 | def test_cache_disabled_via_env_var(self, monkeypatch):
178 | """Test disabling cache via CFM_ENABLE_CACHE environment variable."""
179 | # This test would need to reload the module to test env var
180 | # For now, just document the behavior
181 | pass
182 |
183 |
184 | # Example usage in tests
185 | @pytest.fixture
186 | def disable_cache_for_test():
187 | """Fixture to disable cache for a specific test."""
188 | original_state = is_cache_enabled()
189 | disable_cache()
190 | clear_cache()
191 | yield
192 | if original_state:
193 | enable_cache()
194 | else:
195 | disable_cache()
196 |
197 |
198 | def test_with_cache_disabled(disable_cache_for_test):
199 | """Example test that runs with cache disabled."""
200 | # Your test code here
201 | # Cache will be disabled for this test
202 | assert is_cache_enabled() is False
203 |
204 |
205 | @pytest.fixture
206 | def enable_cache_for_test():
207 | """Fixture to enable cache for a specific test."""
208 | original_state = is_cache_enabled()
209 | enable_cache()
210 | clear_cache()
211 | yield
212 | if original_state:
213 | enable_cache()
214 | else:
215 | disable_cache()
216 |
217 |
218 | def test_with_cache_enabled(enable_cache_for_test):
219 | """Example test that runs with cache enabled."""
220 | # Your test code here
221 | # Cache will be enabled for this test
222 | assert is_cache_enabled() is True
223 |
```