Experimental Features

class AsyncChalice:
    def __init__(
        self,
        *args,
        aioboto3_session: Session = None,
        **kwargs
    ):
        """
        Initialize AsyncChalice application with aioboto3 integration.
        
        Parameters:
        - *args: Standard Chalice initialization arguments
        - aioboto3_session: Optional aioboto3 Session instance
        - **kwargs: Standard Chalice initialization keyword arguments
        """
    
    def __call__(self, event, context):
        """
        Lambda handler entry point.
        
        Parameters:
        - event: AWS Lambda event object
        - context: AWS Lambda context object
        
        Returns:
        Response from the Chalice application
        """
    
    @property
    def aioboto3(self) -> Session:
        """
        Access to the integrated aioboto3 session.
        
        Returns:
        Session: The aioboto3 session instance
        """

class AsyncRestAPIEventHandler:
    def _get_view_function_response(self, view_function, function_args):
        """
        Handle both sync and async view functions.
        
        Automatically detects coroutines and runs them in event loop.
        
        Parameters:
        - view_function: The view function to execute
        - function_args: Arguments to pass to the view function
        
        Returns:
        Response from the view function
        """

from chalice import Chalice
from aioboto3.experimental.async_chalice import AsyncChalice
from aioboto3 import Session
import asyncio

# Create AsyncChalice app with aioboto3 integration
app = AsyncChalice(app_name='my-async-app')

@app.route('/')
async def index():
    """Async route handler."""
    # Access integrated aioboto3 session
    async with app.aioboto3.client('s3') as s3:
        response = await s3.list_buckets()
        bucket_names = [bucket['Name'] for bucket in response['Buckets']]
    
    return {
        'message': 'Hello from async Chalice!',
        'buckets': bucket_names
    }

@app.route('/dynamo/{table_name}', methods=['GET'])
async def get_table_info(table_name):
    """Get DynamoDB table information."""
    async with app.aioboto3.resource('dynamodb') as dynamodb:
        table = await dynamodb.Table(table_name)
        
        # Get table description
        response = await table.meta.client.describe_table(TableName=table_name)
        
        return {
            'table_name': table_name,
            'item_count': response['Table']['ItemCount'],
            'status': response['Table']['TableStatus']
        }

from aioboto3.experimental.async_chalice import AsyncChalice
from aioboto3 import Session

# Create custom aioboto3 session
custom_session = Session(
    region_name='us-west-2',
    profile_name='production'
)

# Initialize AsyncChalice with custom session
app = AsyncChalice(
    app_name='my-custom-app',
    aioboto3_session=custom_session
)

@app.route('/upload', methods=['POST'])
async def upload_file():
    """Upload file to S3 using custom session."""
    request = app.current_request
    raw_body = request.raw_body
    
    # Use the custom session for S3 operations
    async with app.aioboto3.client('s3') as s3:
        await s3.put_object(
            Bucket='my-app-uploads',
            Key='uploaded-file.bin',
            Body=raw_body
        )
    
    return {'status': 'uploaded', 'size': len(raw_body)}

from aioboto3.experimental.async_chalice import AsyncChalice

app = AsyncChalice(app_name='mixed-app')

@app.route('/sync')
def sync_route():
    """Traditional synchronous route."""
    return {'type': 'sync', 'message': 'This is a sync route'}

@app.route('/async')
async def async_route():
    """Async route with AWS operations."""
    async with app.aioboto3.client('ssm') as ssm:
        response = await ssm.get_parameter(
            Name='/my-app/config/database-url'
        )
        
        return {
            'type': 'async',
            'parameter_value': response['Parameter']['Value']
        }

@app.route('/batch-operations', methods=['POST'])
async def batch_operations():
    """Perform batch AWS operations."""
    request = app.current_request
    items = request.json_body.get('items', [])
    
    async with app.aioboto3.resource('dynamodb') as dynamodb:
        table = await dynamodb.Table('my-items')
        
        # Use batch writer for efficient operations
        async with table.batch_writer() as batch:
            for item in items:
                await batch.put_item(Item=item)
    
    return {'processed': len(items)}

from chalice import BadRequestError, InternalServerError
from botocore.exceptions import ClientError

app = AsyncChalice(app_name='error-handling-app')

@app.route('/safe-operation/{resource_id}', methods=['GET'])
async def safe_operation(resource_id):
    """Route with comprehensive error handling."""
    try:
        async with app.aioboto3.client('dynamodb') as dynamodb:
            response = await dynamodb.get_item(
                TableName='my-resources',
                Key={'id': {'S': resource_id}}
            )
            
            if 'Item' not in response:
                raise BadRequestError(f"Resource {resource_id} not found")
            
            return {
                'resource_id': resource_id,
                'data': response['Item']
            }
    
    except ClientError as e:
        error_code = e.response['Error']['Code']
        
        if error_code == 'ResourceNotFoundException':
            raise BadRequestError("Table does not exist")
        elif error_code == 'AccessDeniedException':
            raise InternalServerError("Access denied to DynamoDB")
        else:
            raise InternalServerError(f"AWS error: {error_code}")
    
    except Exception as e:
        app.log.error(f"Unexpected error: {e}")
        raise InternalServerError("Internal server error")

import json
from datetime import datetime

app = AsyncChalice(app_name='multi-service-app')

@app.route('/process-data', methods=['POST'])
async def process_data():
    """Process data using multiple AWS services."""
    request = app.current_request
    data = request.json_body
    
    results = {}
    
    # Store in DynamoDB
    async with app.aioboto3.resource('dynamodb') as dynamodb:
        table = await dynamodb.Table('processed-data')
        
        item = {
            'id': data.get('id'),
            'processed_at': datetime.utcnow().isoformat(),
            'data': data
        }
        
        await table.put_item(Item=item)
        results['dynamodb'] = 'stored'
    
    # Send to SQS
    async with app.aioboto3.client('sqs') as sqs:
        queue_url = 'https://sqs.us-east-1.amazonaws.com/123456789012/my-queue'
        
        await sqs.send_message(
            QueueUrl=queue_url,
            MessageBody=json.dumps(data)
        )
        results['sqs'] = 'queued'
    
    # Upload to S3
    async with app.aioboto3.client('s3') as s3:
        key = f"processed/{data.get('id')}.json"
        
        await s3.put_object(
            Bucket='my-processed-data',
            Key=key,
            Body=json.dumps(item),
            ContentType='application/json'
        )
        results['s3'] = key
    
    return results

app = AsyncChalice(app_name='context-app')

@app.route('/lambda-info')
async def lambda_info():
    """Access Lambda context information."""
    # Access Lambda context through app.lambda_context
    context = app.lambda_context
    
    return {
        'function_name': context.function_name,
        'function_version': context.function_version,
        'memory_limit': context.memory_limit_in_mb,
        'request_id': context.aws_request_id,
        'remaining_time': context.get_remaining_time_in_millis()
    }

@app.route('/performance-test')
async def performance_test():
    """Test async performance in Lambda."""
    import time
    
    start_time = time.time()
    
    # Perform concurrent operations
    tasks = []
    async with app.aioboto3.client('s3') as s3:
        # Create multiple concurrent S3 operations
        for i in range(5):
            task = s3.list_objects_v2(Bucket='my-test-bucket', MaxKeys=1)
            tasks.append(task)
        
        # Wait for all operations to complete
        results = await asyncio.gather(*tasks)
    
    end_time = time.time()
    
    return {
        'operations': len(results),
        'duration_seconds': end_time - start_time,
        'remaining_lambda_time': app.lambda_context.get_remaining_time_in_millis()
    }