Building A Custom Task Automation Script

To create a task automation script for automating daily email reports for a sales team, follow these steps: --- ### Step 1: **Setting up the Environment and Required Dependencies** 1. **Install Required Libraries**: Use the following command to install the required Python libraries: ```bash pip install pandas apscheduler ``` 2. **Setup SMTP Server**: Ensure you have access to an email account for sending emails. For example, you can use Gmail’s SMTP server. --- ### Step 2: **Defining the Automation Workflow and Task Logic** The script will: 1. Load sales data (e.g., from a CSV or database). 2. Process the data using `Pandas` to generate summaries or reports. 3. Email the reports using `smtplib`. 4. Handle errors and log activities. 5. Schedule the script to run daily using `APScheduler`. --- ### Step 3: **Implementing the Functionality** Here’s a Python script covering the entire functionality: #### Script: Task Automation for Daily Email Reports --- ### Step 4: **Adding Error Handling** - All critical sections have `try-except` blocks for capturing and logging exceptions. - Logs are stored in `automation_log.log` for debugging and analysis. --- ### Step 5: **Scheduling Tasks with APScheduler** - The task is scheduled using `APScheduler` to run daily at 8:00 AM. - Adjust the `hour` and `minute` parameters in the `scheduler.add_job` method to fit your needs. --- ### Step 6: **Logging Activities** - Logs are written using Python’s `logging` module. - Log messages include timestamps and error descriptions for easy troubleshooting. --- ### Key Tips for Writing Maintainable Code 1. **Modularity**: Each functionality is encapsulated in its own function. 2. **Documentation**: Inline comments and meaningful function names make the script self-explanatory. 3. **Configuration Management**: Use variables for reusable configurations like email credentials and file paths. You can now run this script, and it will automate the process of generating and emailing daily sales reports!