Random Task Generation Using Python Libraries

The code defines a function that randomly selects a function from Luigi's dependencies and generates a task based on that function. The task can be creating a Luigi task, performing numerical calculations, processing Pandas DataFrames, using SQLAlchemy for database operations, using psycopg2 for PostgreSQL operations, or using Redis for key-value storage.

Technology Stack : The code uses the Luigi library and its dependencies, including numpy, pandas, sqlalchemy, psycopg2, and redis, to perform various tasks.

Code Type : The type of code

Code Difficulty : Advanced

                
                    
import random

def random_task():
    # Randomly select a package from Luigi's dependencies
    packages = ['luigi', 'numpy', 'pandas', 'sqlalchemy', 'psycopg2', 'redis']
    selected_package = random.choice(packages)
    
    # Randomly select a function from the selected package
    if selected_package == 'luigi':
        functions = ['luigi.Task', 'luigi.Date', 'luigi.Target', 'luigi.LocalTarget', 'luigi.Parameter']
    elif selected_package == 'numpy':
        functions = ['numpy.array', 'numpy.sum', 'numpy.mean', 'numpy.max', 'numpy.min']
    elif selected_package == 'pandas':
        functions = ['pandas.DataFrame', 'pandas.read_csv', 'pandas.to_csv', 'pandas.merge', 'pandas.concat']
    elif selected_package == 'sqlalchemy':
        functions = ['sqlalchemy.create_engine', 'sqlalchemy.Table', 'sqlalchemy.Column', 'sqlalchemy.select', 'sqlalchemy.sessionmaker']
    elif selected_package == 'psycopg2':
        functions = ['psycopg2.connect', 'psycopg2.cursor', 'psycopg2.sql', 'psycopg2.extensions']
    elif selected_package == 'redis':
        functions = ['redis.Redis', 'redis.pipeline', 'redis.sadd', 'redis.smembers', 'redis.get']
    
    selected_function = random.choice(functions)
    
    # Generate a random task using the selected function
    def random_task_function(input_data, output_data):
        if selected_package == 'luigi':
            # Create a simple Luigi task that sums two numbers
            class SumTask(luigi.Task):
                def requires(self):
                    return []

                def run(self):
                    self.output().write_text(str(int(input_data) + int(output_data)))
            return SumTask
        elif selected_package == 'numpy':
            # Create a numpy array and sum its elements
            return lambda: numpy.array([int(input_data), int(output_data)]).sum()
        elif selected_package == 'pandas':
            # Create a DataFrame with two columns and concatenate them
            return lambda: pandas.DataFrame({'A': [int(input_data)], 'B': [int(output_data)]}).concat(pandas.DataFrame({'A': [int(input_data)], 'B': [int(output_data)]}))
        elif selected_package == 'sqlalchemy':
            # Create an SQLAlchemy engine and a table
            engine = sqlalchemy.create_engine('sqlite:///:memory:')
            table = sqlalchemy.Table('numbers', engine, sqlalchemy.Column('number', sqlalchemy.Integer))
            table.create()
            return lambda: engine.execute(sqlalchemy.insert(table), [sqlalchemy.sql.text('number = :num'), {'num': int(input_data)}])
        elif selected_package == 'psycopg2':
            # Connect to a PostgreSQL database and insert a row
            return lambda: psycopg2.connect("dbname='test' user='testuser' host='localhost' password='testpassword'").cursor().execute('INSERT INTO numbers (number) VALUES (%s)', [int(input_data)])
        elif selected_package == 'redis':
            # Use Redis to store and retrieve a value
            r = redis.Redis(host='localhost', port=6379, db=0)
            return lambda: r.set('key', input_data), lambda: r.get('key')

    return random_task_function

# Example usage
task = random_task()
result = task(5, 3)
if callable(result):
    print(result())
else:
    print(result)