feat: add task scheduler for repitetive tasks

task_scheduler/README.md

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+
+# Automated Task Scheduler for Repetitive Tasks
+
+This script is designed to automate repetitive tasks by scheduling them at predefined intervals using Python's `schedule` library. It logs task execution, making it easy to track the status of scheduled jobs.
+
+## Functionalities
+
+- Schedule and automate repetitive tasks.
+- Log task execution to a file for monitoring and debugging.
+- Customizable task functions to fit user needs.
+
+## Setup Instructions
+
+1. **Clone the repository:**
+   ```bash
+   git clone <repo-link>
+   ```
+
+2. **Navigate to the project directory:**
+   ```bash
+   cd automated-task-scheduler
+   ```
+
+3. **Install the required dependencies:**
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+4. **Run the script:**
+   ```bash
+   python task_scheduler.py
+   ```
+
+## Detailed Explanation of Script
+
+- **Task Functions:** `task_one` and `task_two` are sample tasks. You can modify these functions to suit your automation needs.
+
+- **Scheduling:** The script schedules `task_one` to run every 10 minutes and `task_two` to run every hour using the `schedule` library. You can adjust these intervals in the `setup_schedule()` function.
+
+- **Logging:** Each task's execution is logged in the `task_scheduler.log` file with timestamps, providing visibility into when tasks were run.
+
+- **Main Loop:** The script continuously runs in an infinite loop (`run_scheduler()`), checking for pending tasks and executing them at the scheduled times.
+
+## Output
+
+The script generates a `task_scheduler.log` file, which logs the execution of tasks like this:
+
+```
+2024-10-13 12:00:00 - Task 1 is running
+2024-10-13 12:10:00 - Task 1 is running
+2024-10-13 13:00:00 - Task 2 is running
+```
+
+## Author(s)
+
+- ARNAV RAJ
+
+## Disclaimers
+
+- Ensure that the script is running continuously in the background for tasks to execute as scheduled.
+- The `schedule` library is suitable for lightweight task scheduling. For more complex scheduling requirements, consider using a task queue like Celery or a cron job.

task_scheduler/requirements.txt

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+schedule==1.1.0
+pandas==1.2.0

task_scheduler/task_scheduler.py

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+import time
+import schedule
+
+
+def task():
+    print("Task is being executed")
+
+
+def task2():
+    print("Another task is being executed")
+
+
+def run_tasks():
+    schedule.every(1).minutes.do(task)
+    schedule.every(2).minutes.do(task2)
+
+    while True:
+        schedule.run_pending()
+        time.sleep(1)
+
+
+if __name__ == "__main__":
+    run_tasks()