Models and Data Types

class ReceiveDetails:
    """
    Container for a received Cloud Event with broker metadata.
    
    Attributes:
    - broker_properties: BrokerProperties - Event broker metadata
    - event: CloudEvent - The received Cloud Event
    """
    broker_properties: BrokerProperties
    event: CloudEvent

class BrokerProperties:
    """
    Broker metadata associated with a received event.
    
    Attributes:
    - lock_token: str - Unique token for event operations (acknowledge, release, etc.)
    - delivery_count: int - Number of delivery attempts for this event
    """
    lock_token: str
    delivery_count: int

class AcknowledgeResult:
    """
    Result of acknowledge operation.
    
    Attributes:
    - failed_lock_tokens: List[FailedLockToken] - Tokens that failed to acknowledge
    - succeeded_lock_tokens: List[str] - Tokens that were successfully acknowledged
    """
    failed_lock_tokens: List[FailedLockToken]
    succeeded_lock_tokens: List[str]

class ReleaseResult:
    """
    Result of release operation.
    
    Attributes:
    - failed_lock_tokens: List[FailedLockToken] - Tokens that failed to release
    - succeeded_lock_tokens: List[str] - Tokens that were successfully released
    """
    failed_lock_tokens: List[FailedLockToken]
    succeeded_lock_tokens: List[str]

class RejectResult:
    """
    Result of reject operation.
    
    Attributes:
    - failed_lock_tokens: List[FailedLockToken] - Tokens that failed to reject
    - succeeded_lock_tokens: List[str] - Tokens that were successfully rejected
    """
    failed_lock_tokens: List[FailedLockToken]
    succeeded_lock_tokens: List[str]

class RenewLocksResult:
    """
    Result of renew locks operation.
    
    Attributes:
    - failed_lock_tokens: List[FailedLockToken] - Tokens that failed to renew
    - succeeded_lock_tokens: List[str] - Tokens that were successfully renewed
    """
    failed_lock_tokens: List[FailedLockToken]
    succeeded_lock_tokens: List[str]

class FailedLockToken:
    """
    Information about a failed lock token operation.
    
    Attributes:
    - lock_token: str - The lock token that failed
    - error: ODataV4Format - Detailed error information
    """
    lock_token: str
    error: ODataV4Format

class ReceiveResult:
    """
    Internal container for receive operation response.
    
    Attributes:
    - details: List[ReceiveDetails] - Array of received events with metadata
    """
    details: List[ReceiveDetails]

class PublishResult:
    """
    Internal result for publish operations (typically empty).
    """
    pass

class CloudEvent:
    """
    Internal CloudEvent representation following CloudEvents v1.0 specification.
    
    Attributes:
    - id: str - Event identifier
    - source: str - Context in which event occurred
    - type: str - Type of event
    - specversion: str - CloudEvents specification version
    - data: Any - Event payload data
    - data_base64: bytes - Base64-encoded event data (alternative to data)
    - time: datetime - Event timestamp
    - dataschema: str - URI of the schema for the data
    - datacontenttype: str - Content type of the data
    - subject: str - Subject of the event in context of the event producer
    """
    id: str
    source: str
    type: str
    specversion: str
    data: Any
    data_base64: bytes
    time: datetime
    dataschema: str
    datacontenttype: str
    subject: str

from enum import Enum

class ReleaseDelay(str, Enum):
    """
    Predefined delay values for event release operations.
    
    Values:
    - NO_DELAY: "0" - Release immediately
    - TEN_SECONDS: "10" - Release after 10 seconds
    - ONE_MINUTE: "60" - Release after 60 seconds
    - TEN_MINUTES: "600" - Release after 600 seconds (10 minutes)
    - ONE_HOUR: "3600" - Release after 3600 seconds (1 hour)
    """
    NO_DELAY = "0"
    TEN_SECONDS = "10"
    ONE_MINUTE = "60"
    TEN_MINUTES = "600"
    ONE_HOUR = "3600"

from azure.eventgrid import EventGridConsumerClient
from azure.core.credentials import AzureKeyCredential

consumer = EventGridConsumerClient(
    endpoint="https://namespace.region.eventgrid.azure.net",
    credential=AzureKeyCredential("key"),
    namespace_topic="orders",
    subscription="processor"
)

# Receive events
events = consumer.receive(max_events=5)

for event_detail in events:
    # Access broker properties
    broker_props = event_detail.broker_properties
    print(f"Lock Token: {broker_props.lock_token}")
    print(f"Delivery Count: {broker_props.delivery_count}")
    
    # Access Cloud Event
    cloud_event = event_detail.event
    print(f"Event ID: {cloud_event.id}")
    print(f"Event Type: {cloud_event.type}")
    print(f"Event Source: {cloud_event.source}")
    print(f"Event Data: {cloud_event.data}")
    
    # Optional Cloud Event properties
    if cloud_event.subject:
        print(f"Subject: {cloud_event.subject}")
    if cloud_event.time:
        print(f"Event Time: {cloud_event.time}")
    if cloud_event.datacontenttype:
        print(f"Content Type: {cloud_event.datacontenttype}")

consumer.close()

from azure.eventgrid.models import ReleaseDelay

# Collect lock tokens from received events
events = consumer.receive(max_events=10)
lock_tokens = [event.broker_properties.lock_token for event in events]

# Attempt to acknowledge events
ack_result = consumer.acknowledge(lock_tokens=lock_tokens)

# Check successful acknowledgments
print(f"Successfully acknowledged: {len(ack_result.succeeded_lock_tokens)}")
for token in ack_result.succeeded_lock_tokens:
    print(f"  Acknowledged: {token}")

# Handle failed acknowledgments
if ack_result.failed_lock_tokens:
    print(f"Failed to acknowledge: {len(ack_result.failed_lock_tokens)}")
    
    retry_tokens = []
    for failed_token in ack_result.failed_lock_tokens:
        print(f"  Failed token: {failed_token.lock_token}")
        print(f"  Error: {failed_token.error}")
        
        # Check error type to decide on retry strategy
        error_str = str(failed_token.error)
        if "expired" in error_str.lower():
            print("    Lock expired - event likely processed elsewhere")
        elif "not found" in error_str.lower():
            print("    Event not found - may have been deleted")
        else:
            print("    Unexpected error - retrying")
            retry_tokens.append(failed_token.lock_token)
    
    # Retry failed tokens with release
    if retry_tokens:
        release_result = consumer.release(
            lock_tokens=retry_tokens,
            release_delay=ReleaseDelay.ONE_MINUTE
        )
        print(f"Released for retry: {len(release_result.succeeded_lock_tokens)}")

from azure.eventgrid.models import ReleaseDelay

# Different release delay strategies
events = consumer.receive(max_events=5)

for event_detail in events:
    lock_token = event_detail.broker_properties.lock_token
    delivery_count = event_detail.broker_properties.delivery_count
    
    try:
        # Attempt processing
        process_event(event_detail.event)
        consumer.acknowledge(lock_tokens=[lock_token])
        
    except TransientError:
        # Transient error - retry quickly
        consumer.release(
            lock_tokens=[lock_token],
            release_delay=ReleaseDelay.TEN_SECONDS
        )
        
    except RateLimitError:
        # Rate limited - wait longer
        consumer.release(
            lock_tokens=[lock_token],
            release_delay=ReleaseDelay.TEN_MINUTES
        )
        
    except ProcessingError:
        if delivery_count < 3:
            # Retry with exponential backoff
            delays = [ReleaseDelay.ONE_MINUTE, ReleaseDelay.TEN_MINUTES, ReleaseDelay.ONE_HOUR]
            delay = delays[min(delivery_count - 1, len(delays) - 1)]
            
            consumer.release(
                lock_tokens=[lock_token],
                release_delay=delay
            )
        else:
            # Max retries exceeded - reject
            consumer.reject(lock_tokens=[lock_token])
            
    except Exception:
        # Unexpected error - reject immediately
        consumer.reject(lock_tokens=[lock_token])

def process_batch_results(consumer, events):
    """Process a batch of events and handle all results."""
    
    # Group events by processing outcome
    success_tokens = []
    transient_failure_tokens = []
    permanent_failure_tokens = []
    
    for event_detail in events:
        try:
            result = process_event(event_detail.event)
            
            if result.success:
                success_tokens.append(event_detail.broker_properties.lock_token)
            elif result.transient_error:
                transient_failure_tokens.append(event_detail.broker_properties.lock_token)
            else:
                permanent_failure_tokens.append(event_detail.broker_properties.lock_token)
                
        except Exception:
            permanent_failure_tokens.append(event_detail.broker_properties.lock_token)
    
    # Execute operations in parallel
    operations = []
    
    if success_tokens:
        operations.append(('acknowledge', consumer.acknowledge(lock_tokens=success_tokens)))
    
    if transient_failure_tokens:
        operations.append(('release', consumer.release(
            lock_tokens=transient_failure_tokens,
            release_delay=ReleaseDelay.ONE_MINUTE
        )))
    
    if permanent_failure_tokens:
        operations.append(('reject', consumer.reject(lock_tokens=permanent_failure_tokens)))
    
    # Process all operation results
    for operation_name, result in operations:
        print(f"{operation_name.title()} Results:")
        print(f"  Succeeded: {len(result.succeeded_lock_tokens)}")
        
        if result.failed_lock_tokens:
            print(f"  Failed: {len(result.failed_lock_tokens)}")
            for failed_token in result.failed_lock_tokens:
                print(f"    Token: {failed_token.lock_token}")
                print(f"    Error: {failed_token.error}")

# Usage
events = consumer.receive(max_events=20)
if events:
    process_batch_results(consumer, events)

from datetime import datetime, timezone
from collections import defaultdict

def analyze_event_batch(events):
    """Analyze received events for monitoring and debugging."""
    
    # Group events by various attributes
    by_type = defaultdict(int)
    by_source = defaultdict(int)
    by_delivery_count = defaultdict(int)
    
    oldest_event = None
    newest_event = None
    
    for event_detail in events:
        cloud_event = event_detail.event
        broker_props = event_detail.broker_properties
        
        # Count by type and source
        by_type[cloud_event.type] += 1
        by_source[cloud_event.source] += 1
        by_delivery_count[broker_props.delivery_count] += 1
        
        # Track event timing
        if cloud_event.time:
            if oldest_event is None or cloud_event.time < oldest_event:
                oldest_event = cloud_event.time
            if newest_event is None or cloud_event.time > newest_event:
                newest_event = cloud_event.time
    
    # Print analysis
    print(f"Batch Analysis - {len(events)} events:")
    print(f"Event Types: {dict(by_type)}")
    print(f"Event Sources: {dict(by_source)}")
    print(f"Delivery Counts: {dict(by_delivery_count)}")
    
    if oldest_event and newest_event:
        age_span = newest_event - oldest_event
        print(f"Time Span: {age_span.total_seconds():.1f} seconds")
        
        # Check for old events
        now = datetime.now(timezone.utc)
        oldest_age = (now - oldest_event).total_seconds()
        if oldest_age > 3600:  # Older than 1 hour
            print(f"WARNING: Oldest event is {oldest_age/3600:.1f} hours old")
    
    # Check for retry patterns
    high_retry_events = [e for e in events if e.broker_properties.delivery_count > 2]
    if high_retry_events:
        print(f"High retry events: {len(high_retry_events)}")
        for event_detail in high_retry_events:
            print(f"  {event_detail.event.type}: {event_detail.broker_properties.delivery_count} attempts")

# Usage
events = consumer.receive(max_events=50)
if events:
    analyze_event_batch(events)

class EventProcessor:
    """Custom event processor with detailed result tracking."""
    
    def __init__(self, consumer):
        self.consumer = consumer
        self.stats = {
            'processed': 0,
            'acknowledged': 0,
            'released': 0,
            'rejected': 0,
            'errors': 0
        }
    
    def process_batch(self, max_events=10):
        """Process a batch of events with detailed tracking."""
        
        events = self.consumer.receive(max_events=max_events)
        if not events:
            return
        
        self.stats['processed'] += len(events)
        
        # Process events
        results = []
        for event_detail in events:
            try:
                success = self.process_single_event(event_detail.event)
                results.append((event_detail.broker_properties.lock_token, success))
            except Exception as e:
                print(f"Processing error: {e}")
                results.append((event_detail.broker_properties.lock_token, False))
                self.stats['errors'] += 1
        
        # Group by outcome
        success_tokens = [token for token, success in results if success]
        failure_tokens = [token for token, success in results if not success]
        
        # Execute operations and track results
        if success_tokens:
            ack_result = self.consumer.acknowledge(lock_tokens=success_tokens)
            self.stats['acknowledged'] += len(ack_result.succeeded_lock_tokens)
            
            # Handle partial failures
            if ack_result.failed_lock_tokens:
                print(f"Failed to acknowledge {len(ack_result.failed_lock_tokens)} events")
                failure_tokens.extend([ft.lock_token for ft in ack_result.failed_lock_tokens])
        
        if failure_tokens:
            release_result = self.consumer.release(
                lock_tokens=failure_tokens,
                release_delay=ReleaseDelay.ONE_MINUTE
            )
            self.stats['released'] += len(release_result.succeeded_lock_tokens)
            
            # Handle release failures (reject as last resort)
            if release_result.failed_lock_tokens:
                reject_tokens = [ft.lock_token for ft in release_result.failed_lock_tokens]
                reject_result = self.consumer.reject(lock_tokens=reject_tokens)
                self.stats['rejected'] += len(reject_result.succeeded_lock_tokens)
    
    def process_single_event(self, cloud_event):
        """Process a single Cloud Event."""
        # Implement your processing logic here
        print(f"Processing {cloud_event.type} from {cloud_event.source}")
        return True  # Return success/failure
    
    def print_stats(self):
        """Print processing statistics."""
        print("Processing Statistics:")
        for key, value in self.stats.items():
            print(f"  {key.title()}: {value}")

# Usage
processor = EventProcessor(consumer)

# Process multiple batches
for _ in range(10):
    processor.process_batch(max_events=5)

processor.print_stats()