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feat: Add schema validation for configuration
- Added JSON schema validation in HelmValuesConfig.from_dict - Created test_schema_validation.py with comprehensive tests - Updated tasks.md to reflect completed schema validation tasks - Improved error messages for validation failures
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README.md

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@@ -34,15 +34,18 @@ helm plugin install https://github.com/zipstack/helm-values-manager
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## Quick Start
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1. Initialize a new configuration:
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```bash
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helm values-manager init
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```
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This creates:
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- `values-manager.yaml` configuration file
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- `values` directory with environment files (`dev.yaml`, `staging.yaml`, `prod.yaml`)
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2. View available commands:
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```bash
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helm values-manager --help
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```
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### Setup Development Environment
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1. Clone the repository:
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```bash
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git clone https://github.com/zipstack/helm-values-manager
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cd helm-values-manager
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```
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2. Create and activate a virtual environment:
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```bash
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python -m venv venv
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source venv/bin/activate # On Windows: .\venv\Scripts\activate
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```
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3. Install development dependencies:
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```bash
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pip install -e ".[dev]"
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```
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4. Install pre-commit hooks:
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```bash
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pre-commit install
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```
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### Running Tests
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Run tests with tox (will test against multiple Python versions):
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```bash
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tox
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```
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Run tests for a specific Python version:
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```bash
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tox -e py39 # For Python 3.9
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```
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- **flake8**: Style guide enforcement
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Run all code quality checks manually:
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```bash
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pre-commit run --all-files
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```

docs/Design/low-level-design.md

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@@ -202,6 +202,88 @@ Implementations:
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- Azure Key Vault Backend
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- Additional backends can be easily added
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### 5. Schema Validation
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The configuration system uses JSON Schema validation to ensure data integrity and consistency:
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```mermaid
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classDiagram
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class SchemaValidator {
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+validate_config(data: dict) None
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-load_schema() dict
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-handle_validation_error(error: ValidationError) str
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}
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class HelmValuesConfig {
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+from_dict(data: dict) HelmValuesConfig
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+to_dict() dict
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+validate() None
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}
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HelmValuesConfig ..> SchemaValidator : uses
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```
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#### Schema Structure
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The schema (`schemas/v1.json`) defines:
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1. **Version Control**
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- Schema version validation
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- Backward compatibility checks
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2. **Deployment Configuration**
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- Backend type validation (git-secret, aws, azure, gcp)
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- Authentication method validation
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- Backend-specific configuration validation
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3. **Value Configuration**
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- Path format validation (dot notation)
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- Required/optional field validation
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- Sensitive value handling
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- Environment-specific value validation
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#### Validation Points
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Schema validation occurs at critical points:
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1. **Configuration Loading** (`from_dict`)
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- Validates complete configuration structure
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- Ensures all required fields are present
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- Validates data types and formats
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2. **Pre-save Validation** (`to_dict`)
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- Ensures configuration remains valid after modifications
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- Validates new values match schema requirements
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3. **Path Addition** (`add_config_path`)
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- Validates new path format
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- Ensures path uniqueness
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- Validates metadata structure
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#### Error Handling
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The validation system provides:
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1. **Detailed Error Messages**
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- Exact location of validation failures
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- Clear explanation of validation rules
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- Suggestions for fixing issues
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2. **Validation Categories**
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- Schema version mismatches
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- Missing required fields
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- Invalid value formats
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- Backend configuration errors
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- Authentication configuration errors
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3. **Error Recovery**
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- Validation before persistence
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- Prevents invalid configurations from being saved
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- Maintains system consistency
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This validation ensures:
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- Configuration integrity
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- Consistent data structure
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- Clear error reporting
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- Safe configuration updates
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## Implementation Details
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### 1. Configuration Structure

docs/Development/tasks.md

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- [x] Add tests for ConfigMetadata
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- [x] Integrate with PathData
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### Schema Validation Integration
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- [x] Add Basic Schema Validation
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- [x] Create test_schema_validation.py
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- [x] Test valid configuration loading
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- [x] Test invalid configuration detection
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- [x] Test error message clarity
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- [x] Add schema validation to HelmValuesConfig
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- [x] Add jsonschema dependency
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- [x] Implement validation in from_dict
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- [x] Add clear error messages
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- [x] Update documentation
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- [x] Schema documentation in low-level design
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- [x] Example configuration in design docs
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### ConfigMetadata
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- [x] Implement ConfigMetadata class
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- [x] Add metadata attributes
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- [x] Implement from_dict() static method
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- [x] Add tests for serialization/deserialization
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### HelmValuesConfig Refactoring
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- [ ] Remove PlainTextBackend references
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- [ ] Update imports and dependencies
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- [ ] Remove plaintext.py
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- [ ] Update tests
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- [ ] Implement unified path storage
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- [ ] Add _path_map dictionary
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- [ ] Migrate existing code to use _path_map
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- [ ] Update tests for new structure
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- [ ] Update value management
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- [ ] Refactor set_value() to use Value class
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- [ ] Refactor get_value() to use Value class
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- [ ] Add value validation in set operations
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- [ ] Update tests for new value handling
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### Backend System
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- [ ] Clean up base ValueBackend
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- [ ] Update interface methods
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- [x] Value class tests
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- [x] PathData class tests
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- [x] ConfigMetadata tests
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- [ ] HelmValuesConfig tests
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- [ ] Backend tests
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- [ ] Command tests
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- [ ] Add integration tests
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"""HelmValuesConfig class for managing Helm values and secrets."""
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import json
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import os
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from dataclasses import dataclass, field
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from typing import Any, Dict, Optional
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import jsonschema
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from jsonschema.exceptions import ValidationError
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from helm_values_manager.backends.simple import SimpleValueBackend
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from helm_values_manager.models.path_data import PathData
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from helm_values_manager.models.value import Value
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@dataclass
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class Deployment:
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"""Deployment configuration."""
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name: str
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auth: Dict[str, Any]
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backend: str
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backend_config: Dict[str, Any] = field(default_factory=dict)
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def to_dict(self) -> Dict[str, Any]:
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"""Convert deployment to dictionary."""
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return {"backend": self.backend, "auth": self.auth, "backend_config": self.backend_config}
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class HelmValuesConfig:
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"""Configuration manager for Helm values and secrets."""
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def __init__(self):
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"""Initialize configuration."""
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self.version: str = "1.0"
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self.release: str = ""
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self.deployments: Dict[str, Deployment] = {}
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self._path_map: Dict[str, PathData] = {}
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self._backend = SimpleValueBackend() # For non-sensitive values
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self.default_environment = "default"
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@classmethod
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def _load_schema(cls) -> Dict[str, Any]:
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"""Load the JSON schema for configuration validation."""
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schema_path = os.path.join(os.path.dirname(__file__), "..", "schemas", "v1.json")
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with open(schema_path, "r", encoding="utf-8") as f:
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return json.load(f)
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def add_config_path(
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self, path: str, description: Optional[str] = None, required: bool = False, sensitive: bool = False
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) -> None:
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"""
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Add a new configuration path.
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Args:
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path: The configuration path
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description: Description of what this configuration does
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required: Whether this configuration is required
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sensitive: Whether this configuration contains sensitive data
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"""
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if path in self._path_map:
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raise ValueError(f"Path {path} already exists")
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metadata = {
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"description": description,
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"required": required,
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"sensitive": sensitive,
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}
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path_data = PathData(path, metadata)
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self._path_map[path] = path_data
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def get_value(self, path: str, environment: str, resolve: bool = False) -> str:
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"""
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Get a value for the given path and environment.
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Args:
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path: The configuration path
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environment: The environment name
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resolve: If True, resolve any secret references to their actual values.
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If False, return the raw value which may be a secret reference.
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Returns:
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str: The value (resolved or raw depending on resolve parameter)
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Raises:
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KeyError: If path doesn't exist
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ValueError: If value doesn't exist for the given environment
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"""
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if path not in self._path_map:
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raise KeyError(f"Path {path} not found")
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path_data = self._path_map[path]
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value_obj = path_data.get_value(environment)
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if value_obj is None:
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raise ValueError(f"No value found for path {path} in environment {environment}")
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value = value_obj.get(resolve=resolve)
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if value is None:
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raise ValueError(f"No value found for path {path} in environment {environment}")
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return value
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def set_value(self, path: str, environment: str, value: str) -> None:
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"""Set a value for the given path and environment."""
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if path not in self._path_map:
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raise KeyError(f"Path {path} not found")
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value_obj = Value(path=path, environment=environment, _backend=self._backend)
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value_obj.set(value)
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self._path_map[path].set_value(environment, value_obj)
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def validate(self) -> None:
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"""Validate the configuration."""
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for path_data in self._path_map.values():
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path_data.validate()
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def to_dict(self) -> Dict[str, Any]:
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"""Convert the configuration to a dictionary."""
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return {
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"version": self.version,
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"release": self.release,
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"deployments": {name: depl.to_dict() for name, depl in self.deployments.items()},
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"config": [path_data.to_dict() for path_data in self._path_map.values()],
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}
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@classmethod
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def from_dict(cls, data: dict) -> "HelmValuesConfig":
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"""
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Create a configuration from a dictionary.
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Args:
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data: Dictionary containing configuration data
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Returns:
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HelmValuesConfig: New configuration instance
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Raises:
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ValidationError: If the configuration data is invalid
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"""
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# Convert string boolean values to actual booleans for backward compatibility
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data = data.copy() # Don't modify the input
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for config_item in data.get("config", []):
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for boolean_field in ["required", "sensitive"]:
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if boolean_field in config_item and isinstance(config_item[boolean_field], str):
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config_item[boolean_field] = config_item[boolean_field].lower() == "true"
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# Validate against schema
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schema = cls._load_schema()
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try:
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jsonschema.validate(instance=data, schema=schema)
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except ValidationError as e:
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raise e
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config = cls()
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config.version = data["version"]
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config.release = data["release"]
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# Load deployments
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for name, depl_data in data.get("deployments", {}).items():
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config.deployments[name] = Deployment(
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name=name,
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backend=depl_data["backend"],
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auth=depl_data["auth"],
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backend_config=depl_data.get("backend_config", {}),
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)
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# Load config paths
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for config_item in data.get("config", []):
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path = config_item["path"]
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metadata = {
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"description": config_item.get("description"),
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"required": config_item.get("required", False),
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"sensitive": config_item.get("sensitive", False),
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}
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path_data = PathData(path, metadata)
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config._path_map[path] = path_data
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# Load values
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for env, value in config_item.get("values", {}).items():
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value_obj = Value(path=path, environment=env, _backend=config._backend)
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value_obj.set(value)
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path_data.set_value(env, value_obj)
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return config

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