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Signed-off-by: ddjain <darjain@redhat.com>
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CLAUDE.md
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CLAUDE.md
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# CLAUDE.md - Krkn Chaos Engineering Framework
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## Project Overview
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Krkn (Kraken) is a chaos engineering tool for Kubernetes/OpenShift clusters. It injects deliberate failures to validate cluster resilience. Plugin-based architecture with multi-cloud support (AWS, Azure, GCP, IBM Cloud, VMware, Alibaba, OpenStack).
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## Repository Structure
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```
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krkn/
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├── krkn/
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│ ├── scenario_plugins/ # Chaos scenario plugins (pod, node, network, hogs, etc.)
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│ ├── utils/ # Utility functions
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│ ├── rollback/ # Rollback management
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│ ├── prometheus/ # Prometheus integration
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│ └── cerberus/ # Health monitoring
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├── tests/ # Unit tests (unittest framework)
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├── scenarios/ # Example scenario configs (openshift/, kube/, kind/)
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├── config/ # Configuration files
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└── CI/ # CI/CD test scripts
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```
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## Quick Start
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```bash
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# Setup (ALWAYS use virtual environment)
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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# Run Krkn
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python run_kraken.py --config config/config.yaml
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# Note: Scenarios are specified in config.yaml under kraken.chaos_scenarios
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# There is no --scenario flag; edit config/config.yaml to select scenarios
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# Run tests
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python -m unittest discover -s tests -v
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python -m coverage run -a -m unittest discover -s tests -v
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```
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## Critical Requirements
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### Python Environment
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- **Python 3.9+** required
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- **NEVER install packages globally** - always use virtual environment
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- **CRITICAL**: `docker` must be <7.0 and `requests` must be <2.32 (Unix socket compatibility)
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### Key Dependencies
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- **krkn-lib** (5.1.13): Core library for Kubernetes/OpenShift operations
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- **kubernetes** (34.1.0): Kubernetes Python client
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- **docker** (<7.0), **requests** (<2.32): DO NOT upgrade without verifying compatibility
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- Cloud SDKs: boto3 (AWS), azure-mgmt-* (Azure), google-cloud-compute (GCP), ibm_vpc (IBM), pyVmomi (VMware)
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## Plugin Architecture (CRITICAL)
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**Strictly enforced naming conventions:**
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### Naming Rules
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- **Module files**: Must end with `_scenario_plugin.py` and use snake_case
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- Example: `pod_disruption_scenario_plugin.py`
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- **Class names**: Must be CamelCase and end with `ScenarioPlugin`
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- Example: `PodDisruptionScenarioPlugin`
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- Must match module filename (snake_case ↔ CamelCase)
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- **Directory structure**: Plugin dirs CANNOT contain "scenario" or "plugin"
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- Location: `krkn/scenario_plugins/<plugin_name>/`
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### Plugin Implementation
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Every plugin MUST:
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1. Extend `AbstractScenarioPlugin`
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2. Implement `run()` method
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3. Implement `get_scenario_types()` method
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```python
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from krkn.scenario_plugins import AbstractScenarioPlugin
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class PodDisruptionScenarioPlugin(AbstractScenarioPlugin):
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def run(self, config, scenarios_list, kubeconfig_path, wait_duration):
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pass
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def get_scenario_types(self):
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return ["pod_scenarios", "pod_outage"]
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```
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### Creating a New Plugin
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1. Create directory: `krkn/scenario_plugins/<plugin_name>/`
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2. Create module: `<plugin_name>_scenario_plugin.py`
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3. Create class: `<PluginName>ScenarioPlugin` extending `AbstractScenarioPlugin`
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4. Implement `run()` and `get_scenario_types()`
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5. Create unit test: `tests/test_<plugin_name>_scenario_plugin.py`
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6. Add example scenario: `scenarios/<platform>/<scenario>.yaml`
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**DO NOT**: Violate naming conventions (factory will reject), include "scenario"/"plugin" in directory names, create plugins without tests.
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## Testing
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### Unit Tests
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```bash
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# Run all tests
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python -m unittest discover -s tests -v
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# Specific test
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python -m unittest tests.test_pod_disruption_scenario_plugin
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# With coverage
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python -m coverage run -a -m unittest discover -s tests -v
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python -m coverage html
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```
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**Test requirements:**
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- Naming: `test_<module>_scenario_plugin.py`
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- Mock external dependencies (Kubernetes API, cloud providers)
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- Test success, failure, and edge cases
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- Keep tests isolated and independent
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### Functional Tests
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Located in `CI/tests/`. Can be run locally on a kind cluster with Prometheus and Elasticsearch set up.
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**Setup for local testing:**
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1. Deploy Prometheus and Elasticsearch on your kind cluster:
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- Prometheus setup: https://krkn-chaos.dev/docs/developers-guide/testing-changes/#prometheus
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- Elasticsearch setup: https://krkn-chaos.dev/docs/developers-guide/testing-changes/#elasticsearch
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2. Or disable monitoring features in `config/config.yaml`:
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```yaml
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performance_monitoring:
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enable_alerts: False
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enable_metrics: False
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check_critical_alerts: False
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```
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**Note:** Functional tests run automatically in CI with full monitoring enabled.
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## Cloud Provider Implementations
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Node chaos scenarios are cloud-specific. Each in `krkn/scenario_plugins/node_actions/<provider>_node_scenarios.py`:
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- AWS, Azure, GCP, IBM Cloud, VMware, Alibaba, OpenStack, Bare Metal
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Implement: stop, start, reboot, terminate instances.
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**When modifying**: Maintain consistency with other providers, handle API errors, add logging, update tests.
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### Adding Cloud Provider Support
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1. Create: `krkn/scenario_plugins/node_actions/<provider>_node_scenarios.py`
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2. Extend: `abstract_node_scenarios.AbstractNodeScenarios`
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3. Implement: `stop_instances`, `start_instances`, `reboot_instances`, `terminate_instances`
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4. Add SDK to `requirements.txt`
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5. Create unit test with mocked SDK
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6. Add example scenario: `scenarios/openshift/<provider>_node_scenarios.yml`
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## Configuration
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**Main config**: `config/config.yaml`
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- `kraken`: Core settings
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- `cerberus`: Health monitoring
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- `performance_monitoring`: Prometheus
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- `elastic`: Elasticsearch telemetry
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**Scenario configs**: `scenarios/` directory
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```yaml
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- config:
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scenario_type: <type> # Must match plugin's get_scenario_types()
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```
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## Code Style
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- **Import order**: Standard library, third-party, local imports
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- **Naming**: snake_case (functions/variables), CamelCase (classes)
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- **Logging**: Use Python's `logging` module
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- **Error handling**: Return appropriate exit codes
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- **Docstrings**: Required for public functions/classes
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## Exit Codes
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Krkn uses specific exit codes to communicate execution status:
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- `0`: Success - all scenarios passed, no critical alerts
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- `1`: Scenario failure - one or more scenarios failed
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- `2`: Critical alerts fired during execution
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- `3+`: Health check failure (Cerberus monitoring detected issues)
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**When implementing scenarios:**
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- Return `0` on success
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- Return `1` on scenario-specific failures
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- Propagate health check failures appropriately
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- Log exit code reasons clearly
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## Container Support
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Krkn can run inside a container. See `containers/` directory.
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**Building custom image:**
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```bash
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cd containers
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./compile_dockerfile.sh # Generates Dockerfile from template
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docker build -t krkn:latest .
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```
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**Running containerized:**
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```bash
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docker run -v ~/.kube:/root/.kube:Z \
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-v $(pwd)/config:/config:Z \
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-v $(pwd)/scenarios:/scenarios:Z \
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krkn:latest
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```
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## Git Workflow
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- **NEVER commit directly to main**
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- **NEVER use `--force` without approval**
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- **ALWAYS create feature branches**: `git checkout -b feature/description`
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- **ALWAYS run tests before pushing**
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**Conventional commits**: `feat:`, `fix:`, `test:`, `docs:`, `refactor:`
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```bash
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git checkout main && git pull origin main
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git checkout -b feature/your-feature-name
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# Make changes, write tests
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python -m unittest discover -s tests -v
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git add <specific-files>
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git commit -m "feat: description"
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git push -u origin feature/your-feature-name
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```
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## Environment Variables
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- `KUBECONFIG`: Path to kubeconfig
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- `AWS_*`, `AZURE_*`, `GOOGLE_APPLICATION_CREDENTIALS`: Cloud credentials
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- `PROMETHEUS_URL`, `ELASTIC_URL`, `ELASTIC_PASSWORD`: Monitoring config
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**NEVER commit credentials or API keys.**
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## Common Pitfalls
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1. Missing virtual environment - always activate venv
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2. Running functional tests without cluster setup
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3. Ignoring exit codes
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4. Modifying krkn-lib directly (it's a separate package)
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5. Upgrading docker/requests beyond version constraints
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## Before Writing Code
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1. Check for existing implementations
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2. Review existing plugins as examples
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3. Maintain consistency with cloud provider patterns
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4. Plan rollback logic
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5. Write tests alongside code
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6. Update documentation
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## When Adding Dependencies
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1. Check if functionality exists in krkn-lib or current dependencies
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2. Verify compatibility with existing versions
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3. Pin specific versions in `requirements.txt`
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4. Check for security vulnerabilities
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5. Test thoroughly for conflicts
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## Common Development Tasks
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### Modifying Existing Plugin
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1. Read plugin code and corresponding test
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2. Make changes
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3. Update/add unit tests
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4. Run: `python -m unittest tests.test_<plugin>_scenario_plugin`
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### Writing Unit Tests
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1. Create: `tests/test_<module>_scenario_plugin.py`
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2. Import `unittest` and plugin class
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3. Mock external dependencies
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4. Test success, failure, and edge cases
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5. Run: `python -m unittest tests.test_<module>_scenario_plugin`
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