# Configuration Management - API Specification

## Introduction

This API specification documents the programmatic interfaces for the Configuration Management module of Codomyrmex. The module provides comprehensive configuration management, validation, and deployment capabilities for the Codomyrmex ecosystem, supporting multiple configuration sources, validation schemas, and secure secret management.

## Functions

### Function: `load_configuration(config_paths: List[str], environment: str = "development", overrides: Optional[Dict] = None, **kwargs) -> Configuration`

- **Description**: Load and merge configuration from multiple sources with environment-specific overrides.
- **Parameters**:
    - `config_paths`: List of file paths or URLs to configuration files.
    - `environment`: Target environment (development, staging, production).
    - `overrides`: Optional runtime configuration overrides.
    - `**kwargs`: Additional loading options (format, validation, etc.).
- **Return Value**: Merged and validated Configuration object.
- **Errors**: Raises `ConfigurationError` for loading failures or validation errors.

### Function: `validate_configuration(config: Union[Dict, Configuration], schema: Optional[ConfigSchema] = None, **kwargs) -> Dict`

- **Description**: Validate configuration against schemas and business rules.
- **Parameters**:
    - `config`: Configuration to validate (dict or Configuration object).
    - `schema`: Optional JSON schema for validation.
    - `**kwargs`: Validation options (strict_mode, custom_validators, etc.).
- **Return Value**:
    ```python
    {
        "valid": <bool>,
        "errors": [<list_of_validation_errors>],
        "warnings": [<list_of_warnings>],
        "schema_compliant": <bool>,
        "business_rules_passed": <bool>
    }
    ```
- **Errors**: Raises `ValidationError` for schema violations or business rule failures.

### Function: `manage_secrets(operation: str, secret_path: str, value: Optional[str] = None, **kwargs) -> Dict`

- **Description**: Secure secret management including storage, retrieval, and rotation.
- **Parameters**:
    - `operation`: Operation type (get, set, rotate, delete).
    - `secret_path`: Path/key for the secret.
    - `value`: Value for set operations.
    - `**kwargs`: Operation-specific options (encryption, ttl, etc.).
- **Return Value**:
    ```python
    {
        "operation": <str>,
        "secret_path": <str>,
        "success": <bool>,
        "value": <str>,  # Only for get operations
        "metadata": {
            "created_at": <timestamp>,
            "last_rotated": <timestamp>,
            "encryption": <str>
        }
    }
    ```
- **Errors**: Raises `SecretManagementError` for security or access failures.

### Function: `deploy_configuration(config: Configuration, target: str, strategy: str = "rolling", **kwargs) -> ConfigDeployment`

- **Description**: Deploy configuration to target environments with rollback capabilities.
- **Parameters**:
    - `config`: Configuration to deploy.
    - `target`: Deployment target (environment, service, file path).
    - `strategy`: Deployment strategy (rolling, blue_green, canary).
    - `**kwargs`: Deployment options (timeout, validation, backup, etc.).
- **Return Value**: ConfigDeployment object with tracking and rollback capabilities.
- **Errors**: Raises `DeploymentError` for deployment failures.

### Function: `monitor_config_changes(config_path: str, callback: Optional[Callable] = None, **kwargs) -> ConfigurationMonitor`

- **Description**: Monitor configuration files for changes and drift detection.
- **Parameters**:
    - `config_path`: Path to configuration file or directory to monitor.
    - `callback`: Optional callback function for change notifications.
    - `**kwargs`: Monitoring options (interval, patterns, recursive, etc.).
- **Return Value**: ConfigurationMonitor object providing real-time change tracking.
- **Errors**: Raises `MonitoringError` for filesystem or permission issues.

### Function: `audit_configuration(config: Configuration, audit_rules: Optional[List] = None, **kwargs) -> ConfigAudit`

- **Description**: Audit configuration for compliance, security, and best practices.
- **Parameters**:
    - `config`: Configuration to audit.
    - `audit_rules`: Optional custom audit rules to apply.
    - `**kwargs`: Audit options (severity_levels, categories, etc.).
- **Return Value**: ConfigAudit object with findings, recommendations, and compliance status.
- **Errors**: Raises `AuditError` for audit execution failures.

## Data Structures

### Configuration
Represents a loaded and validated configuration:
```python
{
    "data": {<configuration_data>},
    "metadata": {
        "sources": [<list_of_source_files>],
        "environment": <str>,
        "loaded_at": <timestamp>,
        "validated": <bool>,
        "schema_version": <str>
    },
    "overrides": {<runtime_overrides>},
    "secrets": {<encrypted_secret_references>}
}
```

### ConfigSchema
JSON schema definition for configuration validation:
```python
{
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {<schema_properties>},
    "required": [<list_of_required_fields>],
    "additionalProperties": <bool>,
    "metadata": {
        "version": <str>,
        "description": <str>,
        "created_by": <str>
    }
}
```

### ConfigDeployment
Tracks configuration deployment status and history:
```python
{
    "id": <str>,
    "config_id": <str>,
    "target": <str>,
    "strategy": <str>,
    "status": "pending|in_progress|completed|failed|rolled_back",
    "start_time": <timestamp>,
    "end_time": <timestamp>,
    "backup_path": <str>,
    "rollback_available": <bool>,
    "validation_results": {<deployment_validation>},
    "error_message": <str>
}
```

### ConfigAudit
Results of configuration audit and compliance checking:
```python
{
    "config_id": <str>,
    "audit_timestamp": <timestamp>,
    "overall_score": <float>,
    "compliance_status": "compliant|non_compliant|warning",
    "findings": [
        {
            "rule": <str>,
            "severity": "critical|high|medium|low|info",
            "message": <str>,
            "path": <str>,
            "recommendation": <str>
        }
    ],
    "categories": {
        "security": <score>,
        "performance": <score>,
        "maintainability": <score>,
        "compliance": <score>
    }
}
```

### SecretManager
Manages encrypted secrets and credentials:
```python
{
    "backend": <str>,  # vault, aws_secretsmanager, azure_keyvault, etc.
    "encryption_method": <str>,
    "rotation_policy": {<rotation_rules>},
    "access_policies": [<list_of_access_policies>],
    "audit_log": [<list_of_secret_access_events>]
}
```

## Error Handling

All functions follow consistent error handling patterns:

- **Configuration Errors**: `ConfigurationError` for loading, parsing, or merging failures
- **Validation Errors**: `ValidationError` for schema violations or business rule failures
- **Security Errors**: `SecretManagementError` for encryption, access, or key management issues
- **Deployment Errors**: `DeploymentError` for configuration deployment failures
- **Monitoring Errors**: `MonitoringError` for filesystem monitoring issues
- **Audit Errors**: `AuditError` for compliance checking failures

## Integration Patterns

### With Environment Setup
```python
from codomyrmex.config_management import load_configuration
from codomyrmex.environment_setup import setup_environment

# Load environment-specific configuration
config = load_configuration([
    "config/default.yaml",
    "config/production.yaml"
], environment="production")

# Setup environment with loaded configuration
env_result = setup_environment(config)
```

### With Security Audit
```python
from codomyrmex.config_management import audit_configuration
from codomyrmex.security.digital import scan_vulnerabilities

# Audit configuration for security issues
config_audit = audit_configuration(config, audit_rules=[
    "no_plaintext_secrets",
    "secure_defaults",
    "access_control"
])

# Follow up with security scanning
security_scan = scan_security(config.data)
```

### With Project Orchestration
```python
from codomyrmex.config_management import deploy_configuration
from codomyrmex.logistics.orchestration.project import execute_workflow

# Deploy configuration as part of workflow
result = execute_workflow("config_deployment", {
    "config_management": {
        "config_path": "config/production.yaml",
        "target": "production_cluster",
        "strategy": "blue_green"
    }
})
```

## Security Considerations

- **Secret Encryption**: All secrets are encrypted at rest and in transit
- **Access Control**: Configuration access is controlled by roles and permissions
- **Audit Logging**: All configuration changes are logged for compliance
- **Validation**: Strict validation prevents injection and configuration attacks
- **Backup Security**: Configuration backups are encrypted and access-controlled
- **Key Rotation**: Automatic rotation of encryption keys for long-term security

## Performance Characteristics

- **Lazy Loading**: Configurations are loaded on-demand to reduce startup time
- **Caching**: Validated configurations are cached for performance
- **Efficient Validation**: Schema validation is optimized for large configurations
- **Monitoring Overhead**: Minimal performance impact from configuration monitoring
- **Secret Retrieval**: Efficient secret caching with automatic refresh


## Navigation Links

- **Parent**: [Project Overview](../README.md)
- **Module Index**: [All Agents](../../AGENTS.md)
- **Documentation**: [Reference Guides](../../../docs/README.md)
- **Home**: [Root README](../../../README.md)
