"""
Community Scenarios Module - Placeholder for future community repository integration.

This module provides the architecture and placeholder functions for integrating
community-contributed scenario packs from the mockloop-scenarios GitHub repository.

Future Features (Phase 2):
- Community scenario discovery and caching
- GitHub repository integration
- Scenario validation and security scanning
- Community rating and feedback system
- Automatic updates and versioning
- Local caching with integrity verification

Architecture Overview:
The community scenarios system will integrate with the mockloop-scenarios GitHub
repository to provide a curated collection of community-contributed testing scenarios.
This will extend the built-in scenario packs with specialized scenarios for specific
industries, technologies, and testing patterns.

TODO: This is a placeholder implementation. The actual community integration
will be implemented in Phase 2 of the AI-native testing features.
"""

import json
import logging
import time
import hashlib
from typing import Any, Optional
from datetime import datetime, timezone
from pathlib import Path

# Handle imports for different execution contexts
if __package__ is None or __package__ == "":
    from mcp_audit_logger import create_audit_logger
else:
    from .mcp_audit_logger import create_audit_logger

# Configure logger for this module
logger = logging.getLogger(__name__)

# Community repository configuration (placeholder)
COMMUNITY_REPO_CONFIG = {
    "repository_url": "https://github.com/mockloop/mockloop-scenarios",
    "api_base_url": "https://api.github.com/repos/mockloop/mockloop-scenarios",
    "default_branch": "main",
    "scenarios_directory": "scenarios",
    "cache_directory": ".mockloop_community_cache",
    "cache_ttl_hours": 24,
    "max_cache_size_mb": 100,
    "enable_auto_updates": True,
    "security_scanning_enabled": True,
    "community_features_enabled": False,  # Will be enabled in Phase 2
}

# Community scenario categories (placeholder structure)
COMMUNITY_CATEGORIES = {
    "industry": {
        "fintech": "Financial technology testing scenarios",
        "healthcare": "Healthcare and medical API testing scenarios",
        "ecommerce": "E-commerce and retail testing scenarios",
        "gaming": "Gaming and entertainment API testing scenarios",
        "iot": "Internet of Things device testing scenarios",
    },
    "technology": {
        "graphql": "GraphQL API testing scenarios",
        "grpc": "gRPC service testing scenarios",
        "websockets": "WebSocket connection testing scenarios",
        "microservices": "Microservices architecture testing scenarios",
        "serverless": "Serverless function testing scenarios",
    },
    "compliance": {
        "gdpr": "GDPR compliance testing scenarios",
        "hipaa": "HIPAA compliance testing scenarios",
        "pci-dss": "PCI DSS compliance testing scenarios",
        "sox": "Sarbanes-Oxley compliance testing scenarios",
    },
    "advanced": {
        "chaos-engineering": "Chaos engineering testing scenarios",
        "contract-testing": "API contract testing scenarios",
        "mutation-testing": "Mutation testing scenarios",
        "property-testing": "Property-based testing scenarios",
    },
}


class CommunityScenarioManager:
    """
    Manager for community scenario operations.

    This is a placeholder implementation that will be expanded in Phase 2
    to include actual GitHub integration, caching, and community features.
    """

    def __init__(self, config: dict[str, Any] | None = None):
        """Initialize the community scenario manager."""
        self.config = config or COMMUNITY_REPO_CONFIG.copy()
        self.cache_dir = Path(self.config["cache_directory"])
        self.audit_logger = None

        # Initialize audit logging
        try:
            self.audit_logger = create_audit_logger(
                db_path="mcp_audit.db",
                session_id="community_scenarios",
                user_id="mcp_system",
            )
        except Exception as e:
            logger.warning(f"Failed to initialize audit logger: {e}")

    def _log_community_access(
        self, operation: str, details: dict[str, Any] | None = None
    ):
        """Log community scenario access for audit purposes."""
        if self.audit_logger:
            try:
                self.audit_logger.log_resource_access(
                    resource_uri=f"community://{operation}",
                    access_type="read",
                    metadata=details or {},
                    data_sources=["community_repository"],
                    compliance_tags=["community_scenarios", "placeholder"],
                    processing_purpose="community_scenario_access",
                    legal_basis="legitimate_interests",
                )
            except Exception as e:
                logger.warning(f"Failed to log community access: {e}")


# Placeholder functions for future community integration


async def list_community_scenarios(
    category: str | None = None,
    technology: str | None = None,
    tags: list[str] | None = None,
    min_rating: float | None = None,
    max_age_days: int | None = None,
) -> dict[str, Any]:
    """
    List available community scenarios with filtering.

    TODO: This is a placeholder function. In Phase 2, this will:
    - Connect to the mockloop-scenarios GitHub repository
    - Fetch and parse scenario metadata
    - Apply filtering based on parameters
    - Return paginated results with community ratings
    - Cache results locally for performance

    Args:
        category: Filter by category (industry, technology, compliance, advanced)
        technology: Filter by specific technology
        tags: Filter by tags
        min_rating: Minimum community rating (1.0-5.0)
        max_age_days: Maximum age of scenarios in days

    Returns:
        Filtered list of community scenarios with metadata
    """
    manager = CommunityScenarioManager()
    manager._log_community_access(
        "list_scenarios",
        {
            "category": category,
            "technology": technology,
            "tags": tags,
            "min_rating": min_rating,
            "max_age_days": max_age_days,
        },
    )

    # Placeholder response
    return {
        "status": "placeholder",
        "message": "Community scenarios will be available in Phase 2",
        "total_scenarios": 0,
        "scenarios": [],
        "categories": list(COMMUNITY_CATEGORIES.keys()),
        "technologies": list(COMMUNITY_CATEGORIES.get("technology", {}).keys()),
        "phase_2_features": [
            "GitHub repository integration",
            "Community ratings and reviews",
            "Automatic scenario updates",
            "Security scanning and validation",
            "Local caching with integrity verification",
            "Contribution workflow for community members",
        ],
        "placeholder_note": "This function will be implemented in Phase 2 of the AI-native testing features",
    }


async def get_community_scenario(
    scenario_id: str,
    version: str | None = None,
    include_metadata: bool = True,
    validate_integrity: bool = True,
) -> dict[str, Any]:
    """
    Get a specific community scenario by ID.

    TODO: This is a placeholder function. In Phase 2, this will:
    - Fetch scenario from GitHub repository or local cache
    - Validate scenario integrity and security
    - Return complete scenario configuration
    - Track usage analytics for community insights
    - Handle version management and updates

    Args:
        scenario_id: Unique identifier for the community scenario
        version: Specific version to fetch (defaults to latest)
        include_metadata: Include community metadata (ratings, comments, etc.)
        validate_integrity: Perform integrity and security validation

    Returns:
        Complete scenario configuration or error information
    """
    manager = CommunityScenarioManager()
    manager._log_community_access(
        "get_scenario",
        {
            "scenario_id": scenario_id,
            "version": version,
            "include_metadata": include_metadata,
            "validate_integrity": validate_integrity,
        },
    )

    # Placeholder response
    return {
        "status": "placeholder",
        "message": f"Community scenario '{scenario_id}' will be available in Phase 2",
        "scenario_id": scenario_id,
        "requested_version": version,
        "phase_2_features": [
            "Real-time scenario fetching from GitHub",
            "Automatic integrity verification",
            "Community ratings and feedback",
            "Version history and rollback",
            "Security scanning results",
            "Usage analytics and recommendations",
        ],
        "placeholder_note": "This function will be implemented in Phase 2 of the AI-native testing features",
    }


async def refresh_community_cache(
    force_refresh: bool = False,
    categories: list[str] | None = None,
    max_age_hours: int | None = None,
) -> dict[str, Any]:
    """
    Refresh the local cache of community scenarios.

    TODO: This is a placeholder function. In Phase 2, this will:
    - Connect to GitHub repository and fetch latest scenarios
    - Update local cache with new and modified scenarios
    - Perform integrity verification on all cached content
    - Clean up outdated or invalid scenarios
    - Report cache statistics and update results

    Args:
        force_refresh: Force refresh even if cache is still valid
        categories: Specific categories to refresh (defaults to all)
        max_age_hours: Maximum age for cache entries to keep

    Returns:
        Cache refresh results and statistics
    """
    manager = CommunityScenarioManager()
    manager._log_community_access(
        "refresh_cache",
        {
            "force_refresh": force_refresh,
            "categories": categories,
            "max_age_hours": max_age_hours,
        },
    )

    # Placeholder response
    return {
        "status": "placeholder",
        "message": "Community cache refresh will be available in Phase 2",
        "cache_status": "not_implemented",
        "scenarios_cached": 0,
        "scenarios_updated": 0,
        "scenarios_removed": 0,
        "cache_size_mb": 0,
        "last_refresh": None,
        "phase_2_features": [
            "Automatic GitHub synchronization",
            "Intelligent cache management",
            "Background refresh scheduling",
            "Integrity verification for all scenarios",
            "Bandwidth-efficient incremental updates",
            "Cache analytics and optimization",
        ],
        "placeholder_note": "This function will be implemented in Phase 2 of the AI-native testing features",
    }


async def search_community_scenarios(
    query: str,
    search_fields: list[str] | None = None,
    filters: dict[str, Any] | None = None,
    sort_by: str = "relevance",
    limit: int = 20,
    offset: int = 0,
) -> dict[str, Any]:
    """
    Search community scenarios with advanced filtering and ranking.

    TODO: This is a placeholder function. In Phase 2, this will:
    - Implement full-text search across scenario content
    - Support advanced filtering and faceted search
    - Rank results by relevance, popularity, and quality
    - Provide search suggestions and auto-completion
    - Track search analytics for community insights

    Args:
        query: Search query string
        search_fields: Fields to search in (title, description, tags, content)
        filters: Additional filters (category, rating, author, etc.)
        sort_by: Sort order (relevance, rating, date, popularity)
        limit: Maximum number of results to return
        offset: Number of results to skip for pagination

    Returns:
        Search results with ranking and metadata
    """
    manager = CommunityScenarioManager()
    manager._log_community_access(
        "search_scenarios",
        {
            "query": query,
            "search_fields": search_fields,
            "filters": filters,
            "sort_by": sort_by,
            "limit": limit,
            "offset": offset,
        },
    )

    # Placeholder response
    return {
        "status": "placeholder",
        "message": f"Search for '{query}' will be available in Phase 2",
        "query": query,
        "total_results": 0,
        "results": [],
        "search_time_ms": 0,
        "suggestions": [],
        "facets": {},
        "phase_2_features": [
            "Full-text search with relevance ranking",
            "Advanced filtering and faceted search",
            "Search suggestions and auto-completion",
            "Personalized recommendations",
            "Search analytics and insights",
            "Semantic search capabilities",
        ],
        "placeholder_note": "This function will be implemented in Phase 2 of the AI-native testing features",
    }


async def validate_community_scenario(
    scenario_data: dict[str, Any],
    security_scan: bool = True,
    schema_validation: bool = True,
    content_analysis: bool = True,
) -> dict[str, Any]:
    """
    Validate a community scenario for security and compliance.

    TODO: This is a placeholder function. In Phase 2, this will:
    - Perform comprehensive security scanning
    - Validate against MockLoop schema requirements
    - Analyze content for malicious patterns
    - Check compliance with community guidelines
    - Generate detailed validation reports

    Args:
        scenario_data: Scenario configuration to validate
        security_scan: Perform security vulnerability scanning
        schema_validation: Validate against MockLoop schema
        content_analysis: Analyze content for quality and safety

    Returns:
        Validation results with security and quality metrics
    """
    manager = CommunityScenarioManager()
    manager._log_community_access(
        "validate_scenario",
        {
            "security_scan": security_scan,
            "schema_validation": schema_validation,
            "content_analysis": content_analysis,
            "scenario_size": len(json.dumps(scenario_data)),
        },
    )

    # Placeholder response
    return {
        "status": "placeholder",
        "message": "Scenario validation will be available in Phase 2",
        "is_valid": False,
        "security_score": None,
        "quality_score": None,
        "compliance_score": None,
        "validation_errors": [],
        "security_warnings": [],
        "recommendations": [],
        "phase_2_features": [
            "Comprehensive security vulnerability scanning",
            "Schema validation against MockLoop standards",
            "Content quality analysis and scoring",
            "Compliance checking for community guidelines",
            "Automated security patch suggestions",
            "Integration with security databases",
        ],
        "placeholder_note": "This function will be implemented in Phase 2 of the AI-native testing features",
    }


async def get_community_stats() -> dict[str, Any]:
    """
    Get community scenario statistics and insights.

    TODO: This is a placeholder function. In Phase 2, this will:
    - Provide comprehensive community statistics
    - Show trending scenarios and popular categories
    - Display contribution metrics and leaderboards
    - Report quality and security metrics
    - Generate community health insights

    Returns:
        Community statistics and insights
    """
    manager = CommunityScenarioManager()
    manager._log_community_access("get_stats", {})

    # Placeholder response
    return {
        "status": "placeholder",
        "message": "Community statistics will be available in Phase 2",
        "total_scenarios": 0,
        "total_contributors": 0,
        "total_downloads": 0,
        "average_rating": 0.0,
        "categories": COMMUNITY_CATEGORIES,
        "trending_scenarios": [],
        "top_contributors": [],
        "quality_metrics": {
            "average_security_score": 0.0,
            "average_quality_score": 0.0,
            "scenarios_with_issues": 0,
        },
        "phase_2_features": [
            "Real-time community statistics",
            "Trending scenarios and categories",
            "Contributor leaderboards and recognition",
            "Quality and security metrics dashboard",
            "Community health insights",
            "Usage analytics and recommendations",
        ],
        "placeholder_note": "This function will be implemented in Phase 2 of the AI-native testing features",
    }


# Community integration architecture documentation

COMMUNITY_ARCHITECTURE_DOCS = {
    "overview": """
    Community Scenarios Architecture (Phase 2)

    The community scenarios system will provide a comprehensive platform for
    sharing, discovering, and using community-contributed testing scenarios.
    This extends the built-in scenario packs with specialized scenarios for
    specific industries, technologies, and testing patterns.
    """,
    "components": {
        "github_integration": {
            "description": "Integration with mockloop-scenarios GitHub repository",
            "features": [
                "Automatic scenario discovery and indexing",
                "Version control and change tracking",
                "Pull request workflow for contributions",
                "Automated testing and validation pipeline",
            ],
        },
        "local_cache": {
            "description": "Local caching system for performance and offline access",
            "features": [
                "Intelligent caching with TTL management",
                "Integrity verification with checksums",
                "Bandwidth-efficient incremental updates",
                "Offline mode with cached scenarios",
            ],
        },
        "security_system": {
            "description": "Comprehensive security scanning and validation",
            "features": [
                "Static analysis for malicious patterns",
                "Schema validation against MockLoop standards",
                "Community reporting and moderation",
                "Automated security patch suggestions",
            ],
        },
        "community_features": {
            "description": "Community engagement and collaboration features",
            "features": [
                "Rating and review system",
                "Usage analytics and recommendations",
                "Contributor recognition and leaderboards",
                "Discussion and feedback mechanisms",
            ],
        },
    },
    "data_flow": [
        "1. Community contributors submit scenarios via GitHub",
        "2. Automated validation and security scanning",
        "3. Approved scenarios indexed in community registry",
        "4. Local cache updated with new/modified scenarios",
        "5. Users discover and download scenarios via MCP resources",
        "6. Usage analytics fed back to community insights",
    ],
    "security_model": {
        "validation_pipeline": [
            "Schema validation against MockLoop standards",
            "Static analysis for security vulnerabilities",
            "Content analysis for malicious patterns",
            "Community review and moderation",
            "Automated testing in sandboxed environment",
        ],
        "integrity_verification": [
            "Cryptographic checksums for all scenarios",
            "Digital signatures for trusted contributors",
            "Tamper detection and automatic re-validation",
            "Audit logging for all access and modifications",
        ],
    },
    "implementation_phases": {
        "phase_2a": [
            "Basic GitHub repository integration",
            "Local caching with integrity verification",
            "Schema validation and security scanning",
            "Simple discovery and download functionality",
        ],
        "phase_2b": [
            "Advanced search and filtering capabilities",
            "Community rating and review system",
            "Usage analytics and recommendations",
            "Contributor recognition and leaderboards",
        ],
        "phase_2c": [
            "Advanced security features and monitoring",
            "Automated quality assessment and scoring",
            "Community moderation and governance tools",
            "Integration with external security databases",
        ],
    },
}


def get_community_architecture_info() -> dict[str, Any]:
    """
    Get detailed information about the community scenarios architecture.

    Returns:
        Comprehensive architecture documentation and implementation plans
    """
    return {
        "architecture": COMMUNITY_ARCHITECTURE_DOCS,
        "current_status": "placeholder_implementation",
        "implementation_timeline": {
            "phase_2a": "Q2 2024 - Basic community integration",
            "phase_2b": "Q3 2024 - Advanced community features",
            "phase_2c": "Q4 2024 - Security and governance enhancements",
        },
        "technical_requirements": {
            "github_api_access": "Required for repository integration",
            "local_storage": "For caching and offline access",
            "security_scanning": "Static analysis and vulnerability detection",
            "community_database": "For ratings, reviews, and analytics",
        },
        "placeholder_note": "This architecture will be implemented in Phase 2 of the AI-native testing features",
    }
