Project Structure

Here’s how the directory structure would typically look:

social-media-bot/
│
├── bot/
│     ├── Dockerfile
│     ├── bot.py
│     ├── requirements.txt
│     └── config/
│          ├── account1.json
│          └── account2.json
│
├── dashboard/
│     ├── Dockerfile
│     ├── app.py
│     ├── requirements.txt
│     └── static/
│          ├── css/
│          └── js/
│
├── database/
│     ├── db_setup.sql
│
├── docker-compose.yml
└── README.md

Step 1: Docker and Bot Setup

Dockerfile for the Bot

# bot/Dockerfile

FROM python:3.9-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY bot.py .
COPY config/ ./config/

CMD ["python", "bot.py"]

Bot Code (bot.py)

# bot/bot.py

import json
import os
import logging
from googleapiclient.discovery import build
from some_social_media_api import SocialMediaAPI  # Placeholder for actual API library

# Load configuration
def load_config(account_name):
    with open(f'config/{account_name}.json') as config_file:
        return json.load(config_file)

logger = logging.getLogger()
logging.basicConfig(level=logging.INFO)

def main():
    account_name = os.getenv("ACCOUNT_NAME", "default")
    config = load_config(account_name)
    
    # Initialize Google Docs API
    service = build('docs', 'v1', credentials='your_credentials_here')
    doc_id = config['google_doc_id']
    
    # Fetch posts and schedule
    # Logic for reading Google Doc and scheduling posts would be here
    # For each post, call the social media API to post the content
    api = SocialMediaAPI(config['social_media_api_key'])
    
    # Your main bot loop or scheduling logic goes here

if __name__ == '__main__':
    main()

Sample requirements.txt for Bot

google-api-python-client
some_social_media_api_library

Sample Configuration File (account1.json)

{
    "google_doc_id": "your_google_doc_id",
    "social_media_api_key": "your_social_media_api_key",
    "posting_schedule": {
        "frequency": "daily",
        "time": "10:00"
    },
    "content_retrieval_rules": {
        "sections": ["posts", "stories"]
    }
}

Step 2: Dashboard Setup

Dockerfile for Dashboard

# dashboard/Dockerfile

FROM flask

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY app.py .
COPY static/ ./static/

CMD ["flask", "run", "--host=0.0.0.0"]

Dashboard Code (app.py)

# dashboard/app.py

from flask import Flask, request, jsonify
from docker import Docker

app = Flask(__name__)
docker_client = Docker()

@app.route('/accounts', methods=['POST'])
def add_account():
    # Add logic to create Docker container for new social media account
    return jsonify({"status": "Account added"}), 201

@app.route('/accounts/<account_name>', methods=['GET'])
def get_account_status(account_name):
    # Check status of specific Docker container
    return jsonify({"status": "Container running"}), 200

if __name__ == '__main__':
    app.run(debug=True, host='0.0.0.0')