from typing import Dict, Any, Optional
from dataclasses import dataclass
from pathlib import Path
import yaml
import os

@dataclass
class ADKConfig:
    """Advanced Development Kit configuration."""
    project_name: str
    version: str
    environment: str
    debug: bool = False
    log_level: str = "INFO"
    
    @classmethod
    def from_file(cls, config_path: Path) -> 'ADKConfig':
        """Load configuration from YAML file."""
        with open(config_path, 'r') as f:
            data = yaml.safe_load(f)
        
        return cls(
            project_name=data['project']['name'],
            version=data['project']['version'],
            environment=data['environment']['name'],
            debug=data['environment'].get('debug', False),
            log_level=data['logging'].get('level', 'INFO')
        )
    
    @classmethod
    def from_env(cls) -> 'ADKConfig':
        """Load configuration from environment variables."""
        return cls(
            project_name=os.getenv('PROJECT_NAME', 'adk-demo'),
            version=os.getenv('VERSION', '1.0.0'),
            environment=os.getenv('ENVIRONMENT', 'development'),
            debug=os.getenv('DEBUG', 'false').lower() == 'true',
            log_level=os.getenv('LOG_LEVEL', 'INFO')
        )

[tool.poetry]
name = "adk-demo"
version = "1.0.0"
description = "Advanced Development Kit Demo"
authors = ["Safa Bayar <bayarsafa@gmail.com>"]
readme = "README.md"
packages = [{include = "adk", from = "src"}]

[tool.poetry.dependencies]
python = "^3.9"
click = "^8.1.0"
pyyaml = "^6.0"
asyncio = "^3.4.3"
pydantic = "^2.0.0"
rich = "^13.0.0"

[tool.poetry.group.dev.dependencies]
pytest = "^7.0.0"
pytest-asyncio = "^0.21.0"
pytest-cov = "^4.0.0"
black = "^23.0.0"
isort = "^5.12.0"
flake8 = "^6.0.0"
mypy = "^1.0.0"
pre-commit = "^3.0.0"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

[tool.black]
line-length = 88
target-version = ['py39']
include = '\.pyi?$'

[tool.isort]
profile = "black"
multi_line_output = 3

[tool.mypy]
python_version = "3.9"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true

from abc import ABC, abstractmethod
from typing import Dict, Any, List
import importlib
import pkgutil

class Plugin(ABC):
    """Base class for ADK plugins."""
    
    @abstractmethod
    def get_name(self) -> str:
        """Get plugin name."""
        pass
    
    @abstractmethod
    def get_version(self) -> str:
        """Get plugin version."""
        pass
    
    @abstractmethod
    def execute(self, config: Dict[str, Any]) -> Any:
        """Execute plugin functionality."""
        pass

class PluginManager:
    """Manages ADK plugins."""
    
    def __init__(self):
        self.plugins: Dict[str, Plugin] = {}
    
    def load_plugin(self, plugin_path: str) -> None:
        """Load a plugin from the given path."""
        try:
            module = importlib.import_module(plugin_path)
            for name, obj in module.__dict__.items():
                if (isinstance(obj, type) and 
                    issubclass(obj, Plugin) and 
                    obj != Plugin):
                    plugin = obj()
                    self.plugins[plugin.get_name()] = plugin
        except ImportError as e:
            raise ImportError(f"Failed to load plugin {plugin_path}: {e}")
    
    def execute_plugin(self, plugin_name: str, config: Dict[str, Any]) -> Any:
        """Execute a specific plugin."""
        if plugin_name not in self.plugins:
            raise ValueError(f"Plugin '{plugin_name}' not found")
        
        return self.plugins[plugin_name].execute(config)

from pydantic import BaseModel, Field, validator
from typing import Optional, List
from enum import Enum

class Environment(str, Enum):
    DEVELOPMENT = "development"
    STAGING = "staging"
    PRODUCTION = "production"

class LogLevel(str, Enum):
    DEBUG = "DEBUG"
    INFO = "INFO"
    WARNING = "WARNING"
    ERROR = "ERROR"
    CRITICAL = "CRITICAL"

class ADKConfigModel(BaseModel):
    """Pydantic model for ADK configuration validation."""
    
    project_name: str = Field(..., min_length=1, max_length=50)
    version: str = Field(..., regex=r'^\d+\.\d+\.\d+$')
    environment: Environment
    debug: bool = False
    log_level: LogLevel = LogLevel.INFO
    max_workers: int = Field(default=5, ge=1, le=100)
    timeout: int = Field(default=30, ge=1, le=300)
    
    @validator('project_name')
    def validate_project_name(cls, v):
        if not v.replace('_', '').replace('-', '').isalnum():
            raise ValueError('Project name must contain only alphanumeric characters, hyphens, and underscores')
        return v
    
    @validator('version')
    def validate_version(cls, v):
        parts = v.split('.')
        if len(parts) != 3:
            raise ValueError('Version must be in format X.Y.Z')
        for part in parts:
            if not part.isdigit():
                raise ValueError('Version parts must be numeric')
        return v

# Usage
def load_and_validate_config(config_data: Dict[str, Any]) -> ADKConfigModel:
    """Load and validate configuration using Pydantic."""
    try:
        return ADKConfigModel(**config_data)
    except Exception as e:
        raise ValueError(f"Configuration validation failed: {e}")

import asyncio
import aiohttp
from typing import List, Dict, Any
import time

class AsyncHTTPClient:
    """Asynchronous HTTP client for high-performance requests."""
    
    def __init__(self, max_connections: int = 100):
        self.max_connections = max_connections
        self.session: Optional[aiohttp.ClientSession] = None
    
    async def __aenter__(self):
        connector = aiohttp.TCPConnector(limit=self.max_connections)
        self.session = aiohttp.ClientSession(connector=connector)
        return self
    
    async def __aexit__(self, exc_type, exc_val, exc_tb):
        if self.session:
            await self.session.close()
    
    async def fetch_urls(self, urls: List[str]) -> List[Dict[str, Any]]:
        """Fetch multiple URLs concurrently."""
        tasks = [self._fetch_single_url(url) for url in urls]
        results = await asyncio.gather(*tasks, return_exceptions=True)
        
        return [
            {"url": url, "result": result, "error": None}
            if not isinstance(result, Exception)
            else {"url": url, "result": None, "error": str(result)}
            for url, result in zip(urls, results)
        ]
    
    async def _fetch_single_url(self, url: str) -> Dict[str, Any]:
        """Fetch a single URL."""
        async with self.session.get(url) as response:
            return {
                "status": response.status,
                "headers": dict(response.headers),
                "content": await response.text()
            }

import logging
import json
from datetime import datetime
from typing import Dict, Any, Optional

class StructuredLogger:
    """Structured logging for ADK applications."""
    
    def __init__(self, name: str, level: str = "INFO"):
        self.logger = logging.getLogger(name)
        self.logger.setLevel(getattr(logging, level.upper()))
        
        # Create console handler with JSON formatter
        handler = logging.StreamHandler()
        formatter = logging.Formatter('%(message)s')
        handler.setFormatter(formatter)
        self.logger.addHandler(handler)
    
    def log(self, level: str, message: str, **kwargs):
        """Log a structured message."""
        log_entry = {
            "timestamp": datetime.utcnow().isoformat(),
            "level": level.upper(),
            "message": message,
            **kwargs
        }
        
        getattr(self.logger, level.lower())(json.dumps(log_entry))
    
    def info(self, message: str, **kwargs):
        """Log info message."""
        self.log("info", message, **kwargs)
    
    def error(self, message: str, **kwargs):
        """Log error message."""
        self.log("error", message, **kwargs)
    
    def debug(self, message: str, **kwargs):
        """Log debug message."""
        self.log("debug", message, **kwargs)