Random Beanie Database Query Generator

This code defines a function that uses the Beanie library to randomly query data from a database based on a specified field. First, a simple Pydantic model is defined, then a Beanie database is created and some sample data is added. Then, a query is generated by randomly selecting a field and value, and the query is executed to return the result.

Technology Stack : The code uses the Beanie library and Pydantic for defining a simple model and handling the database operations. It also uses random module for generating random values for the query.

Code Type : The type of code

Code Difficulty : Advanced

                
                    
def generate_random_beanie_query(dataset, field):
    """
    Generates a random Beanie query to retrieve data from a dataset based on a given field.
    """
    import beanie
    from pydantic import BaseModel

    # Define a simple model for Beanie to work with
    class SampleModel(BaseModel):
        id: int
        name: str
        value: float

    # Create a Beanie database
    db = beanie.DocumentStore()

    # Add some sample data
    db.add(SampleModel(id=1, name="Alice", value=10.5))
    db.add(SampleModel(id=2, name="Bob", value=20.3))
    db.add(SampleModel(id=3, name="Charlie", value=15.7))

    # Generate a random query
    import random
    selected_field = random.choice([field, "value" if field != "value" else "name"])
    query = db.find(SampleModel)[selected_field].equals(random.choice([1, 2, 3]))

    # Execute the query and return the result
    result = query.first()
    return result