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"""
Context-aware API adapter for MorphGuard.

This module provides a context-aware API adapter that enhances the existing API client with:
- Intelligent request routing based on context
- Dynamic endpoint selection
- Adaptive timeout and retry strategies
- Resource-aware request throttling
- Integrated circuit breaking and fallbacks
"""

import time
import threading
import logging
from enum import Enum
from typing import Dict, Any, List, Optional, Union, Callable, Tuple, TypeVar

# Import from existing modules
from src.telemetry import get_telemetry, EventCategory
from src.error_handling import MGError, ErrorCode, ErrorSeverity, ErrorCategory
from src.api_utils import get_api_utils, FallbackStrategy, CircuitBreaker
from src.api_fallback_registry import (
    get_fallback_registry, FallbackTier, FallbackStrategy as FallbackRegistryStrategy
)

# Type definitions
T = TypeVar('T')

class EndpointPriority(Enum):
    """Priority levels for API endpoints."""
    CRITICAL = 0    # Highest priority, must succeed
    HIGH = 1        # High priority, should prioritize
    NORMAL = 2      # Normal priority
    LOW = 3         # Low priority, can be delayed
    BACKGROUND = 4  # Lowest priority, can be dropped

class ResourceConsumption(Enum):
    """Resource consumption levels for requests."""
    MINIMAL = 0     # Very light requests
    LIGHT = 1       # Light requests
    MODERATE = 2    # Moderate resource usage
    HEAVY = 3       # Heavy resource usage
    INTENSIVE = 4   # Very intensive resource usage

class EndpointConfiguration:
    """Configuration for an API endpoint."""
    
    def __init__(
        self,
        priority: EndpointPriority = EndpointPriority.NORMAL,
        resource_consumption: ResourceConsumption = ResourceConsumption.MODERATE,
        timeout: float = 30.0,
        retries: int = 3,
        retry_delay: float = 1.0,
        circuit_breaker_enabled: bool = True,
        failure_threshold: int = 5,
        recovery_timeout: float = 30.0,
        cache_enabled: bool = True,
        cache_duration: int = 300,
        fallback_strategy: FallbackRegistryStrategy = FallbackRegistryStrategy.STATIC,
        requires_authentication: bool = False,
        allows_batching: bool = True,
        idempotent: bool = False,
        tags: Optional[Dict[str, str]] = None
    ):
        """
        Initialize endpoint configuration.
        
        Args:
            priority: Priority level for the endpoint
            resource_consumption: Resource consumption level
            timeout: Request timeout in seconds
            retries: Number of retries
            retry_delay: Delay between retries in seconds
            circuit_breaker_enabled: Whether to enable circuit breaker
            failure_threshold: Number of failures before opening circuit
            recovery_timeout: Time before trying to recover in seconds
            cache_enabled: Whether to enable caching
            cache_duration: Cache duration in seconds
            fallback_strategy: Strategy for selecting fallbacks
            requires_authentication: Whether authentication is required
            allows_batching: Whether the endpoint can be batched
            idempotent: Whether the endpoint is idempotent
            tags: Tags for the endpoint
        """
        self.priority = priority
        self.resource_consumption = resource_consumption
        self.timeout = timeout
        self.retries = retries
        self.retry_delay = retry_delay
        self.circuit_breaker_enabled = circuit_breaker_enabled
        self.failure_threshold = failure_threshold
        self.recovery_timeout = recovery_timeout
        self.cache_enabled = cache_enabled
        self.cache_duration = cache_duration
        self.fallback_strategy = fallback_strategy
        self.requires_authentication = requires_authentication
        self.allows_batching = allows_batching
        self.idempotent = idempotent
        self.tags = tags or {}
    
    def to_dict(self) -> Dict[str, Any]:
        """
        Convert to dictionary.
        
        Returns:
            Dictionary representation
        """
        return {
            "priority": self.priority.name,
            "resource_consumption": self.resource_consumption.name,
            "timeout": self.timeout,
            "retries": self.retries,
            "retry_delay": self.retry_delay,
            "circuit_breaker_enabled": self.circuit_breaker_enabled,
            "failure_threshold": self.failure_threshold,
            "recovery_timeout": self.recovery_timeout,
            "cache_enabled": self.cache_enabled,
            "cache_duration": self.cache_duration,
            "fallback_strategy": self.fallback_strategy.value,
            "requires_authentication": self.requires_authentication,
            "allows_batching": self.allows_batching,
            "idempotent": self.idempotent,
            "tags": self.tags
        }

class ContextAwareAPIAdapter:
    """
    Context-aware API adapter that enhances the existing API client.
    
    This adapter provides:
    - Intelligent request routing based on context
    - Dynamic endpoint selection
    - Adaptive timeout and retry strategies
    - Resource-aware request throttling
    - Integrated circuit breaking and fallbacks
    """
    
    def __init__(self, options: Dict[str, Any] = None):
        """
        Initialize the API adapter.
        
        Args:
            options: Configuration options
        """
        # Default configuration
        self.config = {
            "default_timeout": 30.0,
            "default_retries": 3,
            "default_retry_delay": 1.0,
            "default_priority": EndpointPriority.NORMAL,
            "default_resource_consumption": ResourceConsumption.MODERATE,
            "default_circuit_breaker_enabled": True,
            "default_cache_enabled": True,
            "default_cache_duration": 300,
            "default_fallback_strategy": FallbackRegistryStrategy.STATIC,
            "endpoint_config_path": None,
            "load_from_storage": False,
            "save_to_storage": False,
            "resource_monitoring_enabled": True,
            "resource_threshold_cpu": 80.0,  # Percent
            "resource_threshold_memory": 80.0,  # Percent
            "enable_telemetry": True,
            "enable_adaptive_timeouts": True,
            "adaptive_timeout_factor": 1.5,
            "adaptive_retry_factor": 0.8,
            "max_concurrent_requests": 100,
            "request_throttling_enabled": True
        }
        
        # Update with user-provided options
        if options:
            self.config.update(options)
        
        # Initialize telemetry
        self.telemetry = get_telemetry()
        
        # Get API utilities instance
        self.api_utils = get_api_utils()
        
        # Get fallback registry instance
        self.fallback_registry = get_fallback_registry()
        
        # Endpoint configurations
        self.endpoint_configs: Dict[str, EndpointConfiguration] = {}
        
        # Circuit breakers by endpoint
        self.circuit_breakers: Dict[str, CircuitBreaker] = {}
        
        # Request stats by endpoint
        self.request_stats: Dict[str, Dict[str, Any]] = {}
        
        # Resource usage stats
        self.resource_usage = {
            "cpu": 0.0,
            "memory": 0.0,
            "last_updated": 0.0
        }
        
        # Locks
        self.config_lock = threading.RLock()
        self.stats_lock = threading.RLock()
        self.resource_lock = threading.RLock()
        
        # Semaphore for limiting concurrent requests
        self.request_semaphore = threading.Semaphore(self.config["max_concurrent_requests"])
        
        # Load endpoint configurations if enabled
        if self.config["load_from_storage"] and self.config["endpoint_config_path"]:
            self._load_endpoint_configs()
        
        # Initialize resource monitoring if enabled
        if self.config["resource_monitoring_enabled"]:
            self._start_resource_monitoring()
    
    def _start_resource_monitoring(self) -> None:
        """Initialize resource monitoring."""
        try:
            import psutil
            
            # Initial resource check
            self._update_resource_usage()
            
            # Schedule periodic updates through telemetry's system metrics
            # This leverages existing system metrics collection
        except ImportError:
            self.telemetry.warning(
                "psutil not available, resource monitoring disabled",
                category=EventCategory.API
            )
            self.config["resource_monitoring_enabled"] = False
    
    def _update_resource_usage(self) -> None:
        """Update resource usage statistics."""
        try:
            import psutil
            
            with self.resource_lock:
                self.resource_usage["cpu"] = psutil.cpu_percent(interval=0.1)
                self.resource_usage["memory"] = psutil.virtual_memory().percent
                self.resource_usage["last_updated"] = time.time()
        except Exception as e:
            self.telemetry.error(
                f"Error updating resource usage: {e}",
                category=EventCategory.API,
                exc_info=True
            )
    
    def _load_endpoint_configs(self) -> None:
        """Load endpoint configurations from storage."""
        import os
        import json
        
        try:
            if not os.path.exists(self.config["endpoint_config_path"]):
                return
            
            with open(self.config["endpoint_config_path"], "r") as f:
                config_data = json.load(f)
            
            with self.config_lock:
                for endpoint, config in config_data.items():
                    self.endpoint_configs[endpoint] = EndpointConfiguration(
                        priority=EndpointPriority[config["priority"]],
                        resource_consumption=ResourceConsumption[config["resource_consumption"]],
                        timeout=config["timeout"],
                        retries=config["retries"],
                        retry_delay=config["retry_delay"],
                        circuit_breaker_enabled=config["circuit_breaker_enabled"],
                        failure_threshold=config["failure_threshold"],
                        recovery_timeout=config["recovery_timeout"],
                        cache_enabled=config["cache_enabled"],
                        cache_duration=config["cache_duration"],
                        fallback_strategy=FallbackRegistryStrategy(config["fallback_strategy"]),
                        requires_authentication=config["requires_authentication"],
                        allows_batching=config["allows_batching"],
                        idempotent=config["idempotent"],
                        tags=config["tags"]
                    )
            
            self.telemetry.info(
                "Loaded endpoint configurations from storage",
                category=EventCategory.API,
                context={"path": self.config["endpoint_config_path"]}
            )
        
        except Exception as e:
            self.telemetry.error(
                f"Failed to load endpoint configurations: {e}",
                category=EventCategory.API,
                exc_info=True
            )
    
    def _save_endpoint_configs(self) -> None:
        """Save endpoint configurations to storage."""
        import os
        import json
        
        try:
            if not self.config["endpoint_config_path"]:
                return
            
            # Create directory if it doesn't exist
            os.makedirs(os.path.dirname(self.config["endpoint_config_path"]), exist_ok=True)
            
            config_data = {}
            
            with self.config_lock:
                for endpoint, config in self.endpoint_configs.items():
                    config_data[endpoint] = config.to_dict()
            
            with open(self.config["endpoint_config_path"], "w") as f:
                json.dump(config_data, f, indent=2)
            
            self.telemetry.debug(
                "Saved endpoint configurations to storage",
                category=EventCategory.API,
                context={"path": self.config["endpoint_config_path"]}
            )
        
        except Exception as e:
            self.telemetry.error(
                f"Failed to save endpoint configurations: {e}",
                category=EventCategory.API,
                exc_info=True
            )
    
    def set_endpoint_config(self, endpoint: str, config: EndpointConfiguration) -> None:
        """
        Set configuration for an endpoint.
        
        Args:
            endpoint: API endpoint
            config: Endpoint configuration
        """
        with self.config_lock:
            self.endpoint_configs[endpoint] = config
            
            # Create circuit breaker if needed
            if config.circuit_breaker_enabled and endpoint not in self.circuit_breakers:
                self.circuit_breakers[endpoint] = CircuitBreaker(
                    failure_threshold=config.failure_threshold,
                    recovery_timeout=config.recovery_timeout
                )
        
        if self.config["save_to_storage"] and self.config["endpoint_config_path"]:
            self._save_endpoint_configs()
    
    def get_endpoint_config(self, endpoint: str) -> EndpointConfiguration:
        """
        Get configuration for an endpoint.
        
        Args:
            endpoint: API endpoint
            
        Returns:
            Endpoint configuration
        """
        with self.config_lock:
            # Check for exact match
            if endpoint in self.endpoint_configs:
                return self.endpoint_configs[endpoint]
            
            # Check for pattern matches
            for pattern, config in self.endpoint_configs.items():
                if "*" in pattern:
                    # Convert pattern to simpler matching logic
                    if pattern.startswith("*") and pattern.endswith("*"):
                        # *pattern* - contains
                        pattern_part = pattern.strip("*")
                        if pattern_part in endpoint:
                            return config
                    elif pattern.startswith("*"):
                        # *pattern - ends with
                        pattern_part = pattern[1:]
                        if endpoint.endswith(pattern_part):
                            return config
                    elif pattern.endswith("*"):
                        # pattern* - starts with
                        pattern_part = pattern[:-1]
                        if endpoint.startswith(pattern_part):
                            return config
            
            # Return default configuration
            return EndpointConfiguration(
                priority=self.config["default_priority"],
                resource_consumption=self.config["default_resource_consumption"],
                timeout=self.config["default_timeout"],
                retries=self.config["default_retries"],
                retry_delay=self.config["default_retry_delay"],
                circuit_breaker_enabled=self.config["default_circuit_breaker_enabled"],
                cache_enabled=self.config["default_cache_enabled"],
                cache_duration=self.config["default_cache_duration"],
                fallback_strategy=self.config["default_fallback_strategy"]
            )
    
    def _get_circuit_breaker(self, endpoint: str) -> Optional[CircuitBreaker]:
        """
        Get circuit breaker for an endpoint.
        
        Args:
            endpoint: API endpoint
            
        Returns:
            Circuit breaker or None if not enabled
        """
        with self.config_lock:
            # Check for exact match
            if endpoint in self.circuit_breakers:
                return self.circuit_breakers[endpoint]
            
            # Get endpoint configuration
            config = self.get_endpoint_config(endpoint)
            
            if not config.circuit_breaker_enabled:
                return None
            
            # Create new circuit breaker
            circuit_breaker = CircuitBreaker(
                failure_threshold=config.failure_threshold,
                recovery_timeout=config.recovery_timeout
            )
            
            self.circuit_breakers[endpoint] = circuit_breaker
            return circuit_breaker
    
    def _update_request_stats(self, endpoint: str, success: bool, duration: float) -> None:
        """
        Update request statistics for an endpoint.
        
        Args:
            endpoint: API endpoint
            success: Whether the request was successful
            duration: Request duration in seconds
        """
        with self.stats_lock:
            if endpoint not in self.request_stats:
                self.request_stats[endpoint] = {
                    "total_requests": 0,
                    "successful_requests": 0,
                    "failed_requests": 0,
                    "total_duration": 0.0,
                    "avg_duration": 0.0,
                    "last_request_time": 0.0,
                    "min_duration": float('inf'),
                    "max_duration": 0.0
                }
            
            stats = self.request_stats[endpoint]
            stats["total_requests"] += 1
            stats["last_request_time"] = time.time()
            stats["total_duration"] += duration
            stats["avg_duration"] = stats["total_duration"] / stats["total_requests"]
            stats["min_duration"] = min(stats["min_duration"], duration)
            stats["max_duration"] = max(stats["max_duration"], duration)
            
            if success:
                stats["successful_requests"] += 1
            else:
                stats["failed_requests"] += 1
    
    def _should_throttle_request(self, endpoint: str) -> bool:
        """
        Check if a request should be throttled based on resource usage.
        
        Args:
            endpoint: API endpoint
            
        Returns:
            Whether the request should be throttled
        """
        if not self.config["request_throttling_enabled"]:
            return False
        
        # Get endpoint configuration
        config = self.get_endpoint_config(endpoint)
        
        # Don't throttle critical requests
        if config.priority == EndpointPriority.CRITICAL:
            return False
        
        # Check resource usage
        with self.resource_lock:
            # If resource usage data is stale, update it
            if time.time() - self.resource_usage["last_updated"] > 5.0:
                self._update_resource_usage()
            
            cpu_usage = self.resource_usage["cpu"]
            memory_usage = self.resource_usage["memory"]
            
            # Check if we're over thresholds
            cpu_threshold = self.config["resource_threshold_cpu"]
            memory_threshold = self.config["resource_threshold_memory"]
            
            # Apply more aggressive throttling for resource-intensive requests
            if config.resource_consumption == ResourceConsumption.INTENSIVE:
                cpu_threshold *= 0.8
                memory_threshold *= 0.8
            elif config.resource_consumption == ResourceConsumption.HEAVY:
                cpu_threshold *= 0.9
                memory_threshold *= 0.9
            
            # Only throttle low priority requests initially
            if config.priority == EndpointPriority.LOW or config.priority == EndpointPriority.BACKGROUND:
                if cpu_usage > cpu_threshold * 0.8 or memory_usage > memory_threshold * 0.8:
                    return True
            
            # Throttle normal priority requests only when closer to thresholds
            if config.priority == EndpointPriority.NORMAL:
                if cpu_usage > cpu_threshold * 0.9 or memory_usage > memory_threshold * 0.9:
                    return True
            
            # Throttle high priority requests only when at thresholds
            if config.priority == EndpointPriority.HIGH:
                if cpu_usage > cpu_threshold or memory_usage > memory_threshold:
                    return True
            
            return False
    
    def _adjust_timeout(self, endpoint: str, base_timeout: float) -> float:
        """
        Adjust timeout based on request statistics.
        
        Args:
            endpoint: API endpoint
            base_timeout: Base timeout in seconds
            
        Returns:
            Adjusted timeout in seconds
        """
        if not self.config["enable_adaptive_timeouts"]:
            return base_timeout
        
        with self.stats_lock:
            if endpoint not in self.request_stats:
                return base_timeout
            
            stats = self.request_stats[endpoint]
            
            if stats["total_requests"] < 5:
                return base_timeout
            
            # Calculate timeout based on average duration plus buffer
            avg_duration = stats["avg_duration"]
            max_duration = stats["max_duration"]
            
            # Use a higher factor of the average for more consistent endpoints
            # and a lower factor of the max for less consistent endpoints
            if stats["max_duration"] > stats["avg_duration"] * 3:
                # High variance, use max as reference
                adjusted_timeout = max_duration * 1.2
            else:
                # Low variance, use average as reference
                adjusted_timeout = avg_duration * self.config["adaptive_timeout_factor"]
            
            # Don't go below base timeout
            return max(base_timeout, adjusted_timeout)
    
    def _adjust_retries(self, endpoint: str, base_retries: int) -> int:
        """
        Adjust retry count based on request statistics.
        
        Args:
            endpoint: API endpoint
            base_retries: Base retry count
            
        Returns:
            Adjusted retry count
        """
        if not self.config["enable_adaptive_timeouts"]:
            return base_retries
        
        with self.stats_lock:
            if endpoint not in self.request_stats:
                return base_retries
            
            stats = self.request_stats[endpoint]
            
            if stats["total_requests"] < 5:
                return base_retries
            
            # Calculate success rate
            success_rate = stats["successful_requests"] / stats["total_requests"]
            
            # Adjust retries based on success rate
            if success_rate > 0.95:
                # Very reliable, reduce retries
                return max(1, int(base_retries * self.config["adaptive_retry_factor"]))
            elif success_rate < 0.5:
                # Unreliable, increase retries
                return min(10, int(base_retries / self.config["adaptive_retry_factor"]))
            
            return base_retries
    
    def request(
        self,
        method: str,
        endpoint: str,
        data: Any = None,
        context: Optional[Dict[str, Any]] = None,
        options: Optional[Dict[str, Any]] = None
    ) -> Any:
        """
        Make a context-aware API request.
        
        Args:
            method: HTTP method
            endpoint: API endpoint
            data: Request data
            context: Request context
            options: Request options
            
        Returns:
            Response data
            
        Raises:
            MGError: If the request fails
        """
        context = context or {}
        options = options or {}
        
        # Get endpoint configuration
        config = self.get_endpoint_config(endpoint)
        
        # Create request options based on configuration
        request_options = {
            "timeout": config.timeout,
            "retries": config.retries,
            "retry_delay": config.retry_delay,
            "cache": config.cache_enabled,
            "cache_duration": config.cache_duration,
            "circuit_breaker": config.circuit_breaker_enabled,
            "critical": config.priority == EndpointPriority.CRITICAL,
            "headers": options.get("headers", {})
        }
        
        # Apply adaptive timeouts and retries
        if self.config["enable_adaptive_timeouts"]:
            request_options["timeout"] = self._adjust_timeout(endpoint, config.timeout)
            request_options["retries"] = self._adjust_retries(endpoint, config.retries)
        
        # Override with explicit options
        if "timeout" in options:
            request_options["timeout"] = options["timeout"]
        if "retries" in options:
            request_options["retries"] = options["retries"]
        if "retry_delay" in options:
            request_options["retry_delay"] = options["retry_delay"]
        if "cache" in options:
            request_options["cache"] = options["cache"]
        if "cache_duration" in options:
            request_options["cache_duration"] = options["cache_duration"]
        if "circuit_breaker" in options:
            request_options["circuit_breaker"] = options["circuit_breaker"]
        if "critical" in options:
            request_options["critical"] = options["critical"]
        
        # Set priority based on endpoint configuration
        if config.priority == EndpointPriority.CRITICAL:
            request_options["priority"] = "high"
        elif config.priority == EndpointPriority.HIGH:
            request_options["priority"] = "high"
        elif config.priority == EndpointPriority.LOW:
            request_options["priority"] = "low"
        elif config.priority == EndpointPriority.BACKGROUND:
            request_options["priority"] = "low"
        
        # Set up fallback
        fallback_value = None
        if not options.get("no_fallback", False):
            fallback_strategy = options.get("fallback_strategy", config.fallback_strategy)
            
            # Map fallback strategy to APIUtils strategy
            if fallback_strategy == FallbackRegistryStrategy.STATIC:
                api_fallback_strategy = FallbackStrategy.STATIC
            elif fallback_strategy == FallbackRegistryStrategy.RANDOM:
                api_fallback_strategy = FallbackStrategy.RANDOM
            elif fallback_strategy == FallbackRegistryStrategy.WEIGHTED:
                api_fallback_strategy = FallbackStrategy.WEIGHTED
            else:
                api_fallback_strategy = FallbackStrategy.STATIC
            
            # Try to get fallback from registry
            fallback_value = self.fallback_registry.get_fallback(
                endpoint,
                strategy=fallback_strategy,
                context=context,
                args=[method, endpoint, data, request_options],
                kwargs={}
            )
            
            if fallback_value is not None:
                request_options["fallback"] = fallback_value
        
        # Check if we should throttle this request
        if self._should_throttle_request(endpoint):
            if config.priority == EndpointPriority.BACKGROUND:
                # Drop background requests when throttling
                self.telemetry.debug(
                    f"Dropping background request {method} {endpoint} due to resource constraints",
                    category=EventCategory.API,
                    context={"priority": config.priority.name}
                )
                
                # Use fallback if available
                if fallback_value is not None:
                    return fallback_value
                
                # Otherwise, raise throttled error
                raise MGError(
                    message="Request throttled due to resource constraints",
                    code=ErrorCode.THROTTLED,
                    category=ErrorCategory.SYSTEM,
                    severity=ErrorSeverity.WARNING
                )
            
            self.telemetry.debug(
                f"Throttling request {method} {endpoint} due to resource constraints",
                category=EventCategory.API,
                context={"priority": config.priority.name}
            )
        
        # Check circuit breaker
        circuit_breaker = self._get_circuit_breaker(endpoint)
        if circuit_breaker and not circuit_breaker.allow_request():
            self.telemetry.warning(
                f"Circuit breaker open for {endpoint}",
                category=EventCategory.API,
                context={"endpoint": endpoint}
            )
            
            # Use fallback if available
            if fallback_value is not None:
                return fallback_value
            
            # Otherwise, raise circuit open error
            raise MGError(
                message=f"Circuit breaker open for {endpoint}",
                code=ErrorCode.SERVICE_UNAVAILABLE,
                category=ErrorCategory.API,
                severity=ErrorSeverity.WARNING
            )
        
        # Record start time
        start_time = time.time()
        
        try:
            # Acquire semaphore if limiting concurrent requests
            if self.config["max_concurrent_requests"] > 0:
                self.request_semaphore.acquire()
            
            # Make the request
            response = self.api_utils.request(method, endpoint, data, request_options)
            
            # Record success
            if circuit_breaker:
                circuit_breaker.record_success()
            
            duration = time.time() - start_time
            self._update_request_stats(endpoint, True, duration)
            
            return response
        
        except Exception as error:
            # Record failure
            if circuit_breaker:
                circuit_breaker.record_failure()
            
            duration = time.time() - start_time
            self._update_request_stats(endpoint, False, duration)
            
            # Log error with context
            self.telemetry.error(
                f"Error in API request {method} {endpoint}: {error}",
                category=EventCategory.API,
                context={
                    "method": method,
                    "endpoint": endpoint,
                    "duration": duration,
                    "error": str(error)
                }
            )
            
            raise error
        
        finally:
            # Release semaphore if acquired
            if self.config["max_concurrent_requests"] > 0:
                self.request_semaphore.release()
    
    def get(
        self,
        endpoint: str,
        data: Any = None,
        context: Optional[Dict[str, Any]] = None,
        options: Optional[Dict[str, Any]] = None
    ) -> Any:
        """
        Make a GET request.
        
        Args:
            endpoint: API endpoint
            data: Query parameters
            context: Request context
            options: Request options
            
        Returns:
            Response data
        """
        return self.request("GET", endpoint, data, context, options)
    
    def post(
        self,
        endpoint: str,
        data: Any = None,
        context: Optional[Dict[str, Any]] = None,
        options: Optional[Dict[str, Any]] = None
    ) -> Any:
        """
        Make a POST request.
        
        Args:
            endpoint: API endpoint
            data: Request data
            context: Request context
            options: Request options
            
        Returns:
            Response data
        """
        return self.request("POST", endpoint, data, context, options)
    
    def put(
        self,
        endpoint: str,
        data: Any = None,
        context: Optional[Dict[str, Any]] = None,
        options: Optional[Dict[str, Any]] = None
    ) -> Any:
        """
        Make a PUT request.
        
        Args:
            endpoint: API endpoint
            data: Request data
            context: Request context
            options: Request options
            
        Returns:
            Response data
        """
        return self.request("PUT", endpoint, data, context, options)
    
    def patch(
        self,
        endpoint: str,
        data: Any = None,
        context: Optional[Dict[str, Any]] = None,
        options: Optional[Dict[str, Any]] = None
    ) -> Any:
        """
        Make a PATCH request.
        
        Args:
            endpoint: API endpoint
            data: Request data
            context: Request context
            options: Request options
            
        Returns:
            Response data
        """
        return self.request("PATCH", endpoint, data, context, options)
    
    def delete(
        self,
        endpoint: str,
        context: Optional[Dict[str, Any]] = None,
        options: Optional[Dict[str, Any]] = None
    ) -> Any:
        """
        Make a DELETE request.
        
        Args:
            endpoint: API endpoint
            context: Request context
            options: Request options
            
        Returns:
            Response data
        """
        return self.request("DELETE", endpoint, None, context, options)
    
    def get_request_stats(self, endpoint: Optional[str] = None) -> Dict[str, Any]:
        """
        Get request statistics.
        
        Args:
            endpoint: Optional endpoint to get stats for
            
        Returns:
            Request statistics
        """
        with self.stats_lock:
            if endpoint:
                return self.request_stats.get(endpoint, {}).copy()
            else:
                return {
                    endpoint: stats.copy()
                    for endpoint, stats in self.request_stats.items()
                }
    
    def get_resource_usage(self) -> Dict[str, Any]:
        """
        Get current resource usage.
        
        Returns:
            Resource usage statistics
        """
        with self.resource_lock:
            return self.resource_usage.copy()
    
    def reset_circuit_breaker(self, endpoint: str) -> None:
        """
        Reset circuit breaker for an endpoint.
        
        Args:
            endpoint: API endpoint
        """
        with self.config_lock:
            if endpoint in self.circuit_breakers:
                self.circuit_breakers[endpoint].reset()
    
    def reset_all_circuit_breakers(self) -> None:
        """Reset all circuit breakers."""
        with self.config_lock:
            for circuit_breaker in self.circuit_breakers.values():
                circuit_breaker.reset()
    
    def is_in_degraded_mode(self) -> bool:
        """
        Check if the system is in degraded mode.
        
        Returns:
            Whether the system is in degraded mode
        """
        return self.fallback_registry.is_degraded_mode()
    
    def register_fallback(
        self,
        endpoint: str,
        key: str,
        fallback: Union[Any, Callable],
        is_function: bool = False,
        tier: FallbackTier = FallbackTier.PRIMARY,
        context_rules: Optional[Dict[str, Any]] = None,
        tags: Optional[Dict[str, str]] = None
    ) -> None:
        """
        Register a fallback for an endpoint.
        
        Args:
            endpoint: API endpoint
            key: Fallback key
            fallback: Fallback value or function
            is_function: Whether the fallback is a function
            tier: Fallback tier
            context_rules: Rules for context-based selection
            tags: Tags for the fallback
        """
        self.fallback_registry.register_fallback(
            endpoint=endpoint,
            key=key,
            fallback=fallback,
            is_function=is_function,
            tier=tier,
            context_rules=context_rules,
            tags=tags
        )
    
    def shutdown(self) -> None:
        """Shutdown the adapter and save configurations."""
        # Save endpoint configurations if enabled
        if self.config["save_to_storage"] and self.config["endpoint_config_path"]:
            self._save_endpoint_configs()
        
        # Shutdown fallback registry
        self.fallback_registry.shutdown()

# Singleton instance
_instance = None

def get_context_aware_api(options: Dict[str, Any] = None) -> ContextAwareAPIAdapter:
    """
    Get the global context-aware API adapter instance.
    
    Args:
        options: Configuration options
        
    Returns:
        ContextAwareAPIAdapter instance
    """
    global _instance
    
    if _instance is None:
        _instance = ContextAwareAPIAdapter(options)
    
    return _instance