Home > Article > Backend Development > Running a Discord Bot on Raspberry Pi
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I recently completed a software engineering bootcamp, started working on LeetCode easy questions and felt it would help keep me accountable if I had a daily reminder to solve questions. I decided to implement this using a discord bot running on a 24 hour schedule (on my trusty raspberry pi, of course) which would do the following:
I realize it may be easier to just go to LeetCode and solve a question a day but I got to learn a lot about Python and Discord with help from ChatGPT on this mini-project. This is also my first attempt at sketchnoting so please bear with lol
1. Use python virtual environment
2. Install dependencies
3. Set up Leetcode easy questions database
4. Set up environment variables
5. Create Discord app
6. Run the Bot!
I recommend the use of a python virtual environment because when I initially tested this on Ubuntu 24.04, I encountered the error below
Setting it up is relatively easy, just run the following commands and voila, you're in a python virtual environment!
python3 -m venv ~/py_envs ls ~/py_envs # to confirm the environment was created source ~/py_envs/bin/activate
The following dependencies are required:
Install AWS CLI by running the following:
curl -O 'https://awscli.amazonaws.com/awscli-exe-linux-aarch64.zip' unzip awscli-exe-linux-aarch64.zip sudo ./aws/install aws --version
Then run aws configure to add the required credentials. See Configure the AWS CLI doc.
The following pip dependencies can be installed with a requirements file by running pip install -r requirements.txt.
# requirements.txt discord.py # must install this version of numpy to prevent conflict with # pandas, both of which are required by leetscrape numpy==1.26.4 leetscrape python-dotenv
Leetscrape was vital for this step. To learn more about it, see the Leetscrape docs.
I only want to work on leetcode easy questions (to me, they're even quite difficult) so I did the following:
from leetscrape import GetQuestionsList ls = GetQuestionsList() ls.scrape() # Scrape the list of questions ls.questions.head() # Get the list of questions ls.to_csv(directory="path/to/csv/file")
import csv import boto3 from botocore.exceptions import BotoCoreError, ClientError # Initialize the DynamoDB client dynamodb = boto3.resource('dynamodb') def filter_and_format_csv_for_dynamodb(input_csv): result = [] with open(input_csv, mode='r') as file: csv_reader = csv.DictReader(file) for row in csv_reader: # Filter based on difficulty and paidOnly fields if row['difficulty'] == 'Easy' and row['paidOnly'] == 'False': item = { 'QID': {'N': str(row['QID'])}, 'titleSlug': {'S': row['titleSlug']}, 'topicTags': {'S': row['topicTags']}, 'categorySlug': {'S': row['categorySlug']}, 'posted': {'BOOL': False} } result.append(item) return result def upload_to_dynamodb(items, table_name): table = dynamodb.Table(table_name) try: with table.batch_writer() as batch: for item in items: batch.put_item(Item={ 'QID': int(item['QID']['N']), 'titleSlug': item['titleSlug']['S'], 'topicTags': item['topicTags']['S'], 'categorySlug': item['categorySlug']['S'], 'posted': item['posted']['BOOL'] }) print(f"Data uploaded successfully to {table_name}") except (BotoCoreError, ClientError) as error: print(f"Error uploading data to DynamoDB: {error}") def create_table(): try: table = dynamodb.create_table( TableName='leetcode-easy-qs', KeySchema=[ { 'AttributeName': 'QID', 'KeyType': 'HASH' # Partition key } ], AttributeDefinitions=[ { 'AttributeName': 'QID', 'AttributeType': 'N' # Number type } ], ProvisionedThroughput={ 'ReadCapacityUnits': 5, 'WriteCapacityUnits': 5 } ) # Wait until the table exists table.meta.client.get_waiter('table_exists').wait(TableName='leetcode-easy-qs') print(f"Table {table.table_name} created successfully!") except Exception as e: print(f"Error creating table: {e}") # Call function to create the table create_table() # Example usage input_csv = 'getql.pyquestions.csv' # Your input CSV file table_name = 'leetcode-easy-qs' # DynamoDB table name # Step 1: Filter and format the CSV data questions = filter_and_format_csv_for_dynamodb(input_csv) # Step 2: Upload data to DynamoDB upload_to_dynamodb(questions, table_name)
Create a .env file to store environment variables
DISCORD_BOT_TOKEN=*****
Follow the instructions in the Discord Developer docs to create a Discord app and bot with adequate permissions. Be sure to authorize the bot with at least the following OAuth permissions:
Below is the code for the bot which can be run with the python3 discord-leetcode-qs.py command.
import os import discord import boto3 from leetscrape import GetQuestion from discord.ext import tasks from dotenv import load_dotenv import re load_dotenv() # Discord bot token TOKEN = os.getenv('DISCORD_TOKEN') # Set the intents for the bot intents = discord.Intents.default() intents.message_content = True # Ensure the bot can read messages # Initialize the bot bot = discord.Client(intents=intents) # DynamoDB setup dynamodb = boto3.client('dynamodb') TABLE_NAME = 'leetcode-easy-qs' CHANNEL_ID = 1211111111111111111 # Replace with the actual channel ID # Function to get the first unposted item from DynamoDB def get_unposted_item(): response = dynamodb.scan( TableName=TABLE_NAME, FilterExpression='posted = :val', ExpressionAttributeValues={':val': {'BOOL': False}}, ) items = response.get('Items', []) if items: return items[0] return None # Function to mark the item as posted in DynamoDB def mark_as_posted(qid): dynamodb.update_item( TableName=TABLE_NAME, Key={'QID': {'N': str(qid)}}, UpdateExpression='SET posted = :val', ExpressionAttributeValues={':val': {'BOOL': True}} ) MAX_MESSAGE_LENGTH = 2000 AUTO_ARCHIVE_DURATION = 2880 # Function to split a question into words by spaces or newlines def split_question(question, max_length): parts = [] while len(question) > max_length: split_at = question.rfind(' ', 0, max_length) if split_at == -1: split_at = question.rfind('\n', 0, max_length) if split_at == -1: split_at = max_length parts.append(question[:split_at].strip()) # Continue with the remaining text question = question[split_at:].strip() if question: parts.append(question) return parts def clean_question(question): first_line, _, remaining_question = message.partition('\n') return re.sub(r'\n{3,}', '\n', remaining_question) def extract_first_line(question): lines = question.splitlines() return lines[0] if lines else "" # Task that runs on a schedule @tasks.loop(minutes=1440) async def scheduled_task(): channel = bot.get_channel(CHANNEL_ID) item = get_unposted_item() if item: title_slug = item['titleSlug']['S'] qid = item['QID']['N'] question = "%s" % (GetQuestion(titleSlug=title_slug).scrape()) first_line = extract_first_line(question) cleaned_question = clean_message(question) parts = split_message(cleaned_question, MAX_MESSAGE_LENGTH) thread = await channel.create_thread( name=first_line, type=discord.ChannelType.public_thread ) for part in parts: await thread.send(part) mark_as_posted(qid) else: print("No unposted items found.") @bot.event async def on_ready(): print(f'{bot.user} has connected to Discord!') scheduled_task.start() @bot.event async def on_thread_create(thread): await thread.send("\nYour challenge starts here! Good Luck!") # Run the bot bot.run(TOKEN)
There are multiple options to run the bot. Right now, I'm just running this in a tmux shell but you could also run this in a docker container or on a VPC from AWS, Azure, DigitalOcean or other cloud providers.
Now I just have to actually attempt solving the Leetcode questions...
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