smooth-py 0.1.1

No project description provided

Smooth Python SDK

The Smooth Python SDK provides a convenient way to interact with the Smooth API for programmatic browser automation and task execution. This SDK includes both synchronous and asynchronous clients to suit different programming needs.

Features

• Synchronous and Asynchronous Clients: Choose between SyncClient for traditional sequential programming and AsyncClient for high-performance asynchronous applications.
• Task Management: Easily run tasks, check their status, and retrieve results.
• Interactive Browser Sessions: Get access to and manage interactive browser sessions.

Installation

You can install the Smooth Python SDK using pip:

pip install smooth-py

Authentication

The SDK requires an API key for authentication. You can provide the API key in two ways:

1. Directly in the client constructor:

   from smooth import SyncClient
   
   client = SyncClient(api_key="YOUR_API_KEY")
   

2. As an environment variable:

   Set the SMOOTH_API_KEY environment variable, and the client will automatically use it.

   export SMOOTH_API_KEY="YOUR_API_KEY"
   

   from smooth import SyncClient
   
   # The client will pick up the API key from the environment variable
   client = SyncClient()
   

Usage

Synchronous Client

The SyncClient is ideal for scripts and applications that don't require asynchronous operations.

Running a Task and Waiting for the Result

from smooth import SyncClient, TaskRequest

with SyncClient() as client:
    task_payload = TaskRequest(
        task="Go to https://www.google.com and search for 'Smooth SDK'"
    )
    
    try:
        completed_task = client.run_and_wait_for_task(task_payload)
        
        if completed_task.result:
            print("Task Result:", completed_task.result)
        else:
            print("Task Error:", completed_task.error)
            
    except TimeoutError:
        print("The task timed out.")
    except ApiError as e:
        print(f"An API error occurred: {e}")

Managing Browser Sessions

from smooth import SyncClient

with SyncClient() as client:
    # Get a new browser session
    browser_session = client.get_browser(session_name="my-test-session")
    print("Live URL:", browser_session.live_url)
    print("Session ID:", browser_session.session_id)

    # List all browser sessions
    sessions = client.list_sessions()
    print("All Session IDs:", sessions.session_ids)

Asynchronous Client

The AsyncClient is designed for use in asynchronous applications, such as those built with asyncio, to handle multiple operations concurrently without blocking.

Running a Task and Waiting for the Result

import asyncio
from smooth import AsyncClient, TaskRequest

async def main():
    async with AsyncClient() as client:
        task_payload = TaskRequest(
            task="Go to Github and search for \"smooth-sdk\""
        )
        
        try:
            completed_task = await client.run_and_wait_for_task(task_payload)
            
            if completed_task.result:
                print("Task Result:", completed_task.result)
            else:
                print("Task Error:", completed_task.error)
                
        except TimeoutError:
            print("The task timed out.")
        except ApiError as e:
            print(f"An API error occurred: {e}")

if __name__ == "__main__":
    asyncio.run(main())

Managing Browser Sessions

import asyncio
from smooth import AsyncClient

async def main():
    async with AsyncClient() as client:
        # Get a new browser session
        browser_session = await client.get_browser(session_name="my-async-session")
        print("Live URL:", browser_session.live_url)
        print("Session ID:", browser_session.session_id)

        # List all browser sessions
        sessions = await client.list_sessions()
        print("All Session IDs:", sessions.session_ids)

if __name__ == "__main__":
    asyncio.run(main())