CrewAI Blog Generation System

An automated blog content generation and publishing system using CrewAI, RSS feeds, and WordPress integration.

Overview

This project implements an automated blog content pipeline that:

1. Fetches latest tech news from RSS feeds
2. Analyzes and summarizes the content
3. Generates well-structured blog posts
4. Publishes content directly to WordPress

Features

• 🤖 Automated content generation using CrewAI agents
• 📰 RSS feed integration for real-time news fetching
• ✍️ AI-powered content writing and summarization
• 🌐 WordPress integration via REST API
• 📊 Logging and performance monitoring

Prerequisites

• Python 3.12+
• Ollama running locally
• WordPress site with REST API access
• Environment variables configured

Installation

1. Clone the repository:

git clone https://github.com/ekinbulut/crewai-python-publisher.git
cd crewai

2. Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Configure environment variables:

cp .env.example .env
# Edit .env with your WordPress credentials

Configuration

Copy .env.example to .env and update the values:

cp .env.example .env

The .env file should contain the following variables:

WORDPRESS_URL=your-wordpress-site/wp-json/wp/v2/posts
WORDPRESS_USER=your-username
WORDPRESS_PASS=your-password

Usage

Run the main script:

python main.py

Run tests:

python -m pytest tests/

Project Structure

• main.py - Main application script
• custom_ollama.py - Ollama LLM integration
• tools/ - CrewAI tools implementation
  • news_fetcher_tool.py - RSS feed integration
  • wordpress_poster_tool.py - WordPress API integration
• tests/ - Test files

Testing

The project includes comprehensive tests:

• Unit tests for individual components
• Integration tests for the complete workflow
• Mock tests for WordPress integration

Run tests with:

python -m pytest

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the terms of the MIT License. See the LICENSE file for details.