Introduction to rascal

Rascal is an exceptional scripting library that empowers developers with a rich set of APIs for efficient and effective code development. This guide delves into various APIs that rascal offers, complete with code snippets and an app example to help you grasp their practical applications.

API Examples

1. Creating a Rascal Environment

Before using rascal, you need to set up the environment:

import rascal
rascal_env = rascal.RascalEnvironment()

2. Reading Data

Read data from files easily with rascal:

data = rascal_env.read_file('data.txt')
print(data)

3. Data Transformation

Perform data transformations with simple functions:

transformed_data = rascal_env.transform(data, lambda x: x.upper())
print(transformed_data)

4. Writing Data

Writing data to files is seamless with rascal:

 rascal_env.write_file('output.txt', transformed_data)

5. API Calls

Make API calls directly from your script:

response = rascal_env.api_call('https://api.example.com/data')
print(response.json())

6. Scheduling Tasks

Schedule tasks to run at specified intervals:

def custom_task():
    print("Task is running")

rascal_env.schedule_task(custom_task, interval=5)

App Example

Let’s create a small application that reads data from a file, transforms it, writes the result to a new file, and logs the activity:

import rascal

def read_and_transform_file(input_path, output_path):
    rascal_env = rascal.RascalEnvironment()
    data = rascal_env.read_file(input_path)
    transformed_data = rascal_env.transform(data, lambda x: x.upper())
    rascal_env.write_file(output_path, transformed_data)
    print(f"Transformed data written to {output_path}")

if __name__ == "__main__":
    read_and_transform_file('data.txt', 'output.txt')

This script reads data from ‘data.txt’, transforms it by converting to uppercase, and writes the transformed data to ‘output.txt’.

These examples should give you a solid start with rascal and demonstrate its flexibility and power as a scripting library.

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