### Python: Basic Producer-Consumer Setup with Async-Channel

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Demonstrates a basic producer-consumer system using Async-Channel. It shows how to define custom producer and consumer classes, set up a channel, register a consumer with a callback, and run the producer. This example highlights automatic message routing to registered consumers.

```python
import asyncio
import async_channel.consumer as consumer
import async_channel.producer as producer
import async_channel.channels as channels
import async_channel.util as util

# Define custom producer that generates data
class AwesomeProducer(producer.Producer):
    async def start(self):
        # Background task - generates data continuously
        for i in range(5):
            await self.send({"value": i, "message": f"Data {i}"})
            await asyncio.sleep(0.1)

# Define consumer class
class AwesomeConsumer(consumer.Consumer):
    pass

# Define channel connecting producers and consumers
class AwesomeChannel(channels.Channel):
    PRODUCER_CLASS = AwesomeProducer
    CONSUMER_CLASS = AwesomeConsumer

async def callback(value, message):
    print(f"Consumer received: {message} with value {value}")

async def main():
    # Create and register the channel
    await util.create_channel_instance(AwesomeChannel, channels.set_chan)

    # Get channel instance and add a consumer
    channel = channels.get_chan("Awesome")
    await channel.new_consumer(callback)

    # Create and run producer
    prod = AwesomeProducer(channel)
    await prod.run()

    # Let it process
    await asyncio.sleep(1)

    # Cleanup
    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Async-Channel Usage Example

Source: https://github.com/drakkar-software/async-channel/blob/master/README.md

Demonstrates how to use the async-channel library to create producers, consumers, and channels for inter-task communication. It shows setting up custom producer and consumer classes, creating a channel, registering a callback, and sending data through the channel.

```python
import async_channel.consumer as consumer
import async_channel.producer as producer
import async_channel.channels as channels
import async_channel.util as util

class AwesomeProducer(producer.Producer):
    pass

class AwesomeConsumer(consumer.Consumer):
    pass

class AwesomeChannel(channels.Channel):
    PRODUCER_CLASS = AwesomeProducer
    CONSUMER_CLASS = AwesomeConsumer

async def callback(data):
    print("Consumer called !")
    print("Received : " + data)

# Creates the channel
await util.create_channel_instance(AwesomeChannel, channels.Channels)

# Add a new consumer to the channel
await channels.Channels.get_chan("Awesome").new_consumer(callback)

# Creates a producer that send data to the consumer through the channel
producer = AwesomeProducer(channels.Channels.get_chan("Awesome"))
await producer.run()
await producer.send("test")

# Stops the channel with all its producers and consumers
# await channels.Channels.get_chan("Awesome").stop()
```

--------------------------------

### Manage Multiple Channels with IDs in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

This example shows how to create and manage multiple channel instances with unique identifiers. It demonstrates creating channels with specific IDs, adding consumers to each, sending data, and retrieving channels by their IDs.  It uses UUIDs for the channel IDs and shows how to create, get, and delete channels.

```python
import asyncio
import uuid
import async_channel.channels as channels
import async_channel.util as util

class DataChannel(channels.Channel):
    def __init__(self, test_id):
        super().__init__()
        self.chan_id = test_id

async def user_handler(**kwargs):
    print(f"User channel: {kwargs}")

async def admin_handler(**kwargs):
    print(f"Admin channel: {kwargs}")

async def main():
    # Create separate channel instances with unique IDs
    user_channel_id = uuid.uuid4().hex
    admin_channel_id = uuid.uuid4().hex

    await util.create_channel_instance(
        DataChannel,
        channels.set_chan_at_id,
        channel_name="UserData",
        test_id=user_channel_id
    )

    await util.create_channel_instance(
        DataChannel,
        channels.set_chan_at_id,
        channel_name="AdminData",
        test_id=admin_channel_id
    )

    # Retrieve specific channels
    user_channel = channels.get_chan_at_id("UserData", user_channel_id)
    admin_channel = channels.get_chan_at_id("AdminData", admin_channel_id)

    # Add consumers to each channel
    await user_channel.new_consumer(user_handler)
    await admin_channel.new_consumer(admin_handler)

    # Send data to specific channels
    await user_channel.get_internal_producer().send({"user_id": 123, "action": "login"})
    await admin_channel.get_internal_producer().send({"admin_id": 1, "action": "review"})

    await asyncio.sleep(0.1)

    # Get all channels for a specific ID
    all_user_channels = channels.get_channels(user_channel_id)
    print(f"User channels: {list(all_user_channels.keys())}")  # ['UserData']

    # Cleanup
    await user_channel.stop()
    await admin_channel.stop()
    channels.del_chan_at_id("UserData", user_channel_id)
    channels.del_chan_at_id("AdminData", admin_channel_id)

asyncio.run(main())
```

--------------------------------

### Python: Producer.send() with Async-Channel for Event Distribution

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Illustrates the use of the Producer.send() method in Async-Channel to distribute data to multiple consumers. This example demonstrates sending different event payloads and shows how each event is received by all registered consumers, simulating an event broadcasting mechanism.

```python
import asyncio
import async_channel.channels as channels
import async_channel.producer as producer
import async_channel.util as util

class DataProducer(producer.Producer):
    async def start(self):
        # Send data to all consumers
        await self.send({"event": "user_login", "user_id": 123})
        await self.send({"event": "purchase", "amount": 99.99, "user_id": 123})

class DataChannel(channels.Channel):
    PRODUCER_CLASS = DataProducer

async def event_handler(**kwargs):
    print(f"Event received: {kwargs}")

async def main():
    await util.create_channel_instance(DataChannel, channels.set_chan)
    channel = channels.get_chan("Data")

    # Add multiple consumers
    await channel.new_consumer(event_handler)
    await channel.new_consumer(event_handler)

    # Start producer
    prod = DataProducer(channel)
    await prod.run()
    await asyncio.sleep(0.1)
    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Channel Lifecycle Management in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Illustrates the complete lifecycle of an async channel, from creation to deletion. This includes adding and removing consumers, registering and managing producers, modifying channel behavior, and properly stopping and flushing channel resources. It emphasizes best practices for resource management in asynchronous applications.

```python
import asyncio
import async_channel.channels as channels
import async_channel.producer as producer
import async_channel.util as util

class LifecycleProducer(producer.Producer):
    async def start(self):
        counter = 0
        while not self.should_stop:
            await self.send({"count": counter})
            counter += 1
            await asyncio.sleep(0.1)

class LifecycleChannel(channels.Channel):
    PRODUCER_CLASS = LifecycleProducer

async def handler(**kwargs):
    print(f"Data: {kwargs}")

async def main():
    # Step 1: Create channel
    await util.create_channel_instance(LifecycleChannel, channels.set_chan)
    channel = channels.get_chan("Lifecycle")
    print("Channel created")

    # Step 2: Add consumers
    consumer1 = await channel.new_consumer(handler)
    consumer2 = await channel.new_consumer(handler)
    print(f"Consumers added: {len(channel.get_consumers())}")

    # Step 3: Create and register producer
    prod = LifecycleProducer(channel)
    await prod.run()
    print(f"Producers registered: {len(channel.producers)}")

    # Step 4: Let it run
    await asyncio.sleep(0.3)

    # Step 5: Modify producer (custom implementation)
    await channel.modify(some_param="new_value")

    # Step 6: Remove a consumer
    await channel.remove_consumer(consumer1)
    print(f"After removal: {len(channel.get_consumers())} consumers")

    # Step 7: Stop everything
    await channel.stop()
    print("Channel stopped")

    # Step 8: Flush channel references
    channel.flush()
    print(f"Producer channel ref after flush: {prod.channel}")  # None

    # Step 9: Delete channel
    channels.del_chan("Lifecycle")
    print("Channel deleted")

asyncio.run(main())

```

--------------------------------

### Implement SupervisedConsumer with Synchronization in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Demonstrates SupervisedConsumer usage with task synchronization. Tracks work completion and verifies queue status. Requires async_channel package, asyncio, and uses synchronized channels.

```python
import asyncio
import async_channel.channels as channels
import async_channel.consumer as channel_consumer
import async_channel.producer as producer
import async_channel.util as util

class WorkerProducer(producer.Producer):
    pass

class WorkChannel(channels.Channel):
    PRODUCER_CLASS = WorkerProducer
    CONSUMER_CLASS = channel_consumer.SupervisedConsumer

async def process_work(task_id, duration):
    print(f"Starting task {task_id}")
    await asyncio.sleep(duration)
    print(f"Completed task {task_id}")

async def main():
    # Create synchronized channel
    await util.create_channel_instance(
        WorkChannel,
        channels.set_chan,
        is_synchronized=True
    )
    channel = channels.get_chan("Work")

    # Add supervised consumer
    await channel.new_consumer(
        process_work,
        priority_level=0
    )

    # Create producer and send tasks
    prod = WorkerProducer(channel)
    await prod.run()

    await prod.send({"task_id": 1, "duration": 0.1})
    await prod.send({"task_id": 2, "duration": 0.1})
    await prod.send({"task_id": 3, "duration": 0.1})

    print("All tasks queued")

    # Synchronously process all tasks and wait for completion
    await prod.synchronized_perform_consumers_queue(
        priority_level=0,
        join_consumers=True,
        timeout=5.0
    )

    print("All tasks completed")

    # Verify queue is empty
    is_empty = prod.is_consumers_queue_empty(priority_level=0)
    print(f"Queue empty: {is_empty}")  # Output: True

    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Retrieve consumers with Channel.get_consumer_from_filters() in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Shows how to query registered consumers based on specific filter dictionaries, including wildcard handling and empty filter to retrieve all consumers. Utilizes async_channel utilities to create a channel instance and demonstrates output of consumer counts for various queries.

```python
import asyncio
import async_channel.channels as channels
import async_channel.util as util
import async_channel

class FilterChannel(channels.Channel):
    pass

async def handler1(**kwargs):
    pass

async def handler2(**kwargs):
    pass

async def main():
    await util.create_channel_instance(FilterChannel, channels.set_chan)
    channel = channels.get_chan("Filter")

    # Register consumers with specific filters
    consumer1 = await channel.new_consumer(
        handler1,
        consumer_filters={"market": "BTC", "exchange": "binance"}
    )

    consumer2 = await channel.new_consumer(
        handler2,
        consumer_filters={"market": "ETH",exchange": async_channel.CHANNEL_WILDCARD}
    )

    # Find consumers matching filters
    btc_consumers = channel.get_consumer_from_filters({"market": "BTC"})
    print(f"BTC consumers: {len(btc_consumers)}")  # Output: BTC consumers: 1

    # Wildcard in query matches any exchange
    eth_consumers = channel.get_consumer_from_filters({
        "market": "ETH",
        "exchange": "kraken"
    })
    print(f"ETH consumers: {len(eth_consumers)}")  # Output: ETH consumers: 1

    # No match
    ada_consumers = channel.get_consumer_from_filters({"market": "ADA"})
    print(f"ADA consumers: {len(ada_consumers)}")  # Output: ADA consumers: 0

    # Empty filter returns all consumers
    all_consumers = channel.get_consumer_from_filters({})
    print(f"All consumers: {len(all_consumers)}")  # Output: All consumers: 2

    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Complex Filter Matching with Lists in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Demonstrates how to use list-based filters for consumer routing in async channels. It shows how to set up consumers that match multiple values for specific keys like 'market' and 'type', using wildcards for broader matching. This allows for flexible routing of messages to appropriate handlers based on complex criteria.

```python
import asyncio
import async_channel.channels as channels
import async_channel.util as util
import async_channel

class MarketChannel(channels.Channel):
    pass

async def crypto_handler(**kwargs):
    print(f"[CRYPTO] {kwargs}")

async def forex_handler(**kwargs):
    print(f"[FOREX] {kwargs}")

async def multi_market_handler(**kwargs):
    print(f"[MULTI] {kwargs}")

async def main():
    await util.create_channel_instance(MarketChannel, channels.set_chan)
    channel = channels.get_chan("Market")

    # Consumer 1: Accepts multiple crypto markets
    await channel.new_consumer(
        crypto_handler,
        consumer_filters={
            "market": ["BTC", "ETH", "ADA"],
            "type": "crypto"
        }
    )

    # Consumer 2: Accepts forex only
    await channel.new_consumer(
        forex_handler,
        consumer_filters={
            "market": ["EUR", "USD", "GBP"],
            "type": "forex"
        }
    )

    # Consumer 3: Accepts multiple types from any market
    await channel.new_consumer(
        multi_market_handler,
        consumer_filters={
            "market": async_channel.CHANNEL_WILDCARD,
            "type": ["crypto", "forex", "stock"]
        }
    )

    # Send various market data
    internal_prod = channel.get_internal_producer()

    await internal_prod.send({"market": "BTC", "type": "crypto", "price": 50000})
    # Matches crypto_handler and multi_market_handler

    await internal_prod.send({"market": "USD", "type": "forex", "rate": 1.2})
    # Matches forex_handler and multi_market_handler

    await internal_prod.send({"market": "AAPL", "type": "stock", "price": 150})
    # Matches only multi_market_handler

    await asyncio.sleep(0.1)

    # Query consumers by filters
    btc_consumers = channel.get_consumer_from_filters({"market": "BTC", "type": "crypto"})
    print(f"BTC consumers: {len(btc_consumers)}")  # Output: 2

    await channel.stop()

asyncio.run(main())

```

--------------------------------

### Implement InternalConsumer with Callbacks in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Shows how to create InternalConsumer subclasses with custom internal_callback methods. Logs messages and counts events. Requires async_channel package and asyncio.

```python
import asyncio
import async_channel.channels as channels
import async_channel.consumer as channel_consumer
import async_channel.util as util

class LoggingConsumer(channel_consumer.InternalConsumer):
    def __init__(self):
        super().__init__()
        self.messages = []

    async def internal_callback(self, **kwargs):
        self.messages.append(kwargs)
        print(f"Logged: {kwargs}")

class AnalyticsConsumer(channel_consumer.InternalConsumer):
    def __init__(self):
        super().__init__()
        self.count = 0

    async def internal_callback(self, event_type, **kwargs):
        self.count += 1
        print(f"Event #{self.count}: {event_type}")

class LogChannel(channels.Channel):
    CONSUMER_CLASS = channel_consumer.InternalConsumer

async def main():
    await util.create_channel_instance(LogChannel, channels.set_chan)
    channel = channels.get_chan("Log")

    # Add internal consumers
    logger = LoggingConsumer()
    await channel.new_consumer(internal_consumer=logger)

    analytics = AnalyticsConsumer()
    await channel.new_consumer(internal_consumer=analytics)

    # Send data
    internal_prod = channel.get_internal_producer()
    await internal_prod.send({"event_type": "user_action", "action": "click"})
    await internal_prod.send({"event_type": "api_call", "endpoint": "/users"})

    await asyncio.sleep(0.1)

    print(f"Total messages logged: {len(logger.messages)}")  # Output: 2
    print(f"Total events counted: {analytics.count}")  # Output: 2

    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Create filtered consumers with Channel.new_consumer() in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Demonstrates registering multiple consumers that receive messages based on filter criteria, including usage of a wildcard to handle all events. Requires async_channel library, asyncio, and utilizes internal producer to send test events. Outputs messages handled by appropriate consumer functions.

```python
import asyncio
import async_channel.channels as channels
import async_channel.util as util
import async_channel

class EventChannel(channels.Channel):
    pass

async def urgent_handler(**kwargs):
    print(f"[URGENT] {kwargs}")

async def trade_handler(**kwargs):
    print(f"[TRADE] {kwargs}")

async def general_handler(**kwargs):
    print(f"[GENERAL] {kwargs}")

async def main():
    await util.create_channel_instance(EventChannel, channels.set_chan)
    channel = channels.get_chan("Event")

    # Consumer 1: Only receives "urgent" events
    await channel.new_consumer(
        urgent_handler,
        consumer_filters={"event_type": "urgent"}
    )

    # Consumer 2: Only receives "trade" events
    await channel.new_consumer(
        trade_handler,
        consumer_filters={"event_type": "trade"}
    )

    # Consumer 3: Receives ALL events (wildcard)
    await channel.new_consumer(
        general_handler,
        consumer_filters={"event_type": async_channel.CHANNEL_WILDCARD}
    )

    # Send various events through internal producer
    internal_prod = channel.get_internal_producer()
    await internal_prod.send({"event_type": "urgent", "data": "Critical error!"})
    await internal_prod.send({"event_type": "trade", "data": "BTC/USD bought"})
    await internal_prod.send({"event_type": "info", "data": "System status OK"})

    await asyncio.sleep(0.1)
    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Python: Managing Consumer Priority Levels in Async Channels

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Demonstrates how to assign and retrieve consumers based on priority levels (HIGH, MEDIUM, OPTIONAL) in Python using the async-channel library. This allows for granular control over resource allocation by prioritizing critical tasks.

```python
import asyncio
import async_channel.channels as channels
import async_channel.consumer as consumer
import async_channel.producer as producer
import async_channel.util as util
import async_channel

class PriorityChannel(channels.Channel):
    pass

async def critical_handler(**kwargs):
    print(f"[HIGH PRIORITY] {kwargs}")

async def normal_handler(**kwargs):
    print(f"[MEDIUM PRIORITY] {kwargs}")

async def optional_handler(**kwargs):
    print(f"[OPTIONAL] {kwargs}")

async def main():
    await util.create_channel_instance(PriorityChannel, channels.set_chan)
    channel = channels.get_chan("Priority")

    # Register consumers with different priority levels
    await channel.new_consumer(
        critical_handler,
        priority_level=async_channel.ChannelConsumerPriorityLevels.HIGH.value  # 0
    )

    await channel.new_consumer(
        normal_handler,
        priority_level=async_channel.ChannelConsumerPriorityLevels.MEDIUM.value  # 1
    )

    await channel.new_consumer(
        optional_handler,
        priority_level=async_channel.ChannelConsumerPriorityLevels.OPTIONAL.value  # 2
    )

    # Send data
    internal_prod = channel.get_internal_producer()
    await internal_prod.send({"msg": "Important update"})

    await asyncio.sleep(0.1)

    # Get consumers by priority
    high_priority = channel.get_prioritized_consumers(
        async_channel.ChannelConsumerPriorityLevels.HIGH.value
    )
    print(f"High priority consumers: {len(high_priority)}")  # Output: 1

    medium_and_above = channel.get_prioritized_consumers(
        async_channel.ChannelConsumerPriorityLevels.MEDIUM.value
    )
    print(f"Medium+ priority consumers: {len(medium_and_above)}")  # Output: 2

    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Wait for Producer Processing in Python

Source: https://context7.com/drakkar-software/async-channel/llms.txt

This snippet demonstrates how to use `wait_for_processing()` to wait for all supervised consumers to finish processing their queues. It utilizes a `BatchProducer` and `BatchChannel` to enqueue items and subsequently wait for their completion. This involves setting up asyncio, channel and consumer classes and a main function.

```python
import asyncio
import async_channel.channels as channels
import async_channel.consumer as channel_consumer
import async_channel.producer as producer
import async_channel.util as util

class BatchProducer(producer.Producer):
    async def process_batch(self, items):
        # Send all items
        for item in items:
            await self.send({"item": item})

        # Wait for all consumers to finish
        print("Waiting for consumers to process...")
        await self.wait_for_processing()
        print("All consumers finished!")

class BatchChannel(channels.Channel):
    PRODUCER_CLASS = BatchProducer
    CONSUMER_CLASS = channel_consumer.SupervisedConsumer

async def slow_processor(item):
    await asyncio.sleep(0.1)
    print(f"Processed: {item}")

async def fast_processor(item):
    print(f"Quick process: {item}")

async def main():
    await util.create_channel_instance(BatchChannel, channels.set_chan)
    channel = channels.get_chan("Batch")

    # Add multiple supervised consumers
    await channel.new_consumer(slow_processor)
    await channel.new_consumer(fast_processor)

    prod = BatchProducer(channel)
    await prod.run()

    # Process batch and wait for completion
    await prod.process_batch(["A", "B", "C"])

    await channel.stop()

asyncio.run(main())
```

--------------------------------

### Python: Producer Pause/Resume Based on Priority Consumers in Async Channels

Source: https://context7.com/drakkar-software/async-channel/llms.txt

Illustrates how producers in async-channel automatically pause when no high-priority consumers are registered and resume when they become available. This ensures efficient resource usage by only producing when there are critical consumers to process data.

```python
import asyncio
import async_channel.channels as channels
import async_channel.producer as producer
import async_channel.util as util
import async_channel

class MonitoredProducer(producer.Producer):
    async def start(self):
        counter = 0
        while not self.should_stop:
            if self.is_running:
                await self.send({"count": counter})
                counter += 1
            await asyncio.sleep(0.1)

    async def pause(self):
        print("Producer paused - no priority consumers")
        await super().pause()

    async def resume(self):
        print("Producer resumed - priority consumers added")
        await super().resume()

class MonitoredChannel(channels.Channel):
    PRODUCER_CLASS = MonitoredProducer

async def handler(**kwargs):
    print(f"Received: {kwargs}")

async def main():
    await util.create_channel_instance(MonitoredChannel, channels.set_chan)
    channel = channels.get_chan("Monitored")

    prod = MonitoredProducer(channel)
    await prod.run()

    print(f"Initially paused: {channel.is_paused}")  # True (no consumers)
    await asyncio.sleep(0.2)

    # Add HIGH priority consumer - triggers resume
    consumer1 = await channel.new_consumer(
        handler,
        priority_level=async_channel.ChannelConsumerPriorityLevels.HIGH.value
    )
    print(f"After HIGH consumer: {channel.is_paused}")  # False
    await asyncio.sleep(0.2)

    # Remove HIGH consumer - triggers pause
    await channel.remove_consumer(consumer1)
    print(f"After removing HIGH: {channel.is_paused}")  # True

    # Add OPTIONAL consumer - stays paused
    await channel.new_consumer(
        handler,
        priority_level=async_channel.ChannelConsumerPriorityLevels.OPTIONAL.value
    )
    print(f"After OPTIONAL consumer: {channel.is_paused}")  # True

    await channel.stop()

asyncio.run(main())
```

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