pikadantic 0.0.2

Pikadantic provides robust data validation for RabbitMQ messaging

Pikadantic

Pikadantic is a Python library that integrates Pika with Pydantic to provide robust data validation for RabbitMQ messaging.

🚀 Why Pikadantic?

• Seamless Integration: Combines Pika's messaging capabilities with Pydantic's data validation.
• Type Safety: Leverages Python's type hints for clear and enforceable message schemas.
• Data Integrity: Validates messages before sending or processing, reducing runtime errors.

📦 Installation

Install Pikadantic using pip:

pip install pikadantic

🧩 Example Usage

Here's a simple example of how to use Pikadantic with RabbitMQ:

from pika import BlockingConnection, ConnectionParameters
from pydantic import BaseModel
from pikadantic import validate_body

# Define your message model
class UserMessage(BaseModel):
    user_id: int
    name: str
    email: str

# Create a connection
connection = BlockingConnection(ConnectionParameters('localhost'))
channel = connection.channel()

# Define your message handler with validation
@validate_body(UserMessage)
def handle_message(channel, method, properties, body):
    # The body is already validated against UserMessage model
    print(f"Received message: {body}")

# Alternative approach using only_model=True
@validate_body(UserMessage, only_model=True)
def handle_message_simplified(message: UserMessage):
    # You get the validated model directly
    print(f"User {message.name} with ID {message.user_id}")

# Set up consumer
channel.basic_consume(
    queue='user_queue',
    on_message_callback=handle_message
)

# Start consuming
channel.start_consuming()

In this example:

• We define a UserMessage model using Pydantic
• The validate_body decorator ensures that incoming messages match our model
• We can use either the standard callback format or simplified model-only format
• Invalid messages will raise PikadanticValidationError

🛠️ Contributing

Contributions are welcome! If you'd like to add a new feature or fix a bug, please:

• Set up your local environment using uv.
• Run make install to install dependencies.
• Ensure 100% test coverage for your changes.
• Open a pull request and tag @karta9821 as a reviewer.
• Pull requests without sufficient tests or that reduce test coverage will not be accepted.

⚖️ License

This project is licensed under the MIT License. See the LICENSE file for details.

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Note: Pikadantic is currently in an experimental phase. Use with caution in production environments.

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🙏 Acknowledgments

This project was inspired by pika-pydantic.