🧩 Python Automation Recipes – 🔁 Retry Task Runner

import time
import random
from datetime import datetime

# --- Step 1: Define a sample unstable task ---
def unstable_task():
    print("Running unstable task...")

    # Simulate random failure
    if random.random() < 0.7:
        raise Exception("Simulated failure")

    print("Task succeeded!")

# --- Step 2: Retry wrapper ---
def run_with_retry(task_func, max_retries=3, delay=2):
    attempt = 0

    while attempt < max_retries:
        try:
            print(f"\n▶Attempt {attempt + 1}")
            task_func()
            return True

        except Exception as e:
            print(f"Error: {e}")
            attempt += 1

            if attempt < max_retries:
                print(f"Retrying in {delay} seconds...")
                time.sleep(delay)
            else:
                print("Max retries reached. Task failed.")

    return False

# --- Step 3: Execute task with retry ---
print(f"Starting task at {datetime.now()}\n")
run_with_retry(unstable_task, max_retries=5, delay=3)
print("\nExecution completed.")