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owly-news/README.md
2025-08-02 01:57:27 +02:00

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# Owly News Summariser
Owly News Summariser is a web application that fetches news articles from various RSS feeds, uses an LLM (Large Language Model) to summarize them, and presents them in a clean, user-friendly interface.
## Features
- Fetches news from configurable RSS feeds
- Automatically summarizes articles using Ollama LLM
- Filters news by country
- Progressive Web App (PWA) support for offline access
- Scheduled background updates
## Project Structure
The project consists of two main components:
- **Backend**: A FastAPI application that fetches and processes news feeds, summarizes articles, and provides API endpoints
- **Frontend**: A Vue.js application that displays the news and provides a user interface for managing feeds
## Prerequisites
- Python 3.8+ for the backend
- Node.js 16+ and Yarn for the frontend
- [Ollama](https://ollama.ai/) for article summarization
## Installing Yarn
Yarn is a package manager for JavaScript that's required for the frontend. Here's how to install it:
### Using npm (recommended)
If you already have Node.js installed, the easiest way to install Yarn is via npm:
```bash
npm install -g yarn
```
### Platform-specific installations
#### Windows
- **Using Chocolatey**: `choco install yarn`
- **Using Scoop**: `scoop install yarn`
- **Manual installation**: Download and run the [installer](https://classic.yarnpkg.com/latest.msi)
#### macOS
- **Using Homebrew**: `brew install yarn`
- **Using MacPorts**: `sudo port install yarn`
#### Linux
- **Debian/Ubuntu**:
```bash
curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list
sudo apt update && sudo apt install yarn
```
- **CentOS/Fedora/RHEL**:
```bash
curl --silent --location https://dl.yarnpkg.com/rpm/yarn.repo | sudo tee /etc/yum.repos.d/yarn.repo
sudo yum install yarn
```
- **Arch Linux**: `pacman -S yarn`
After installation, verify Yarn is installed correctly:
```bash
yarn --version
```
## Setup
### Backend Setup
1. Navigate to the backend directory:
```bash
cd backend
```
2. Create a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
4. Create a `.env` file based on the example:
```bash
cp example.env .env
```
5. Customize the `.env` file as needed:
- `OLLAMA_HOST`: URL for the Ollama service (default: http://localhost:11434)
- `CRON_HOURS`: Interval for scheduled news fetching (default: 1)
- `DATABASE_URL`: SQLite database connection string
### Frontend Setup
1. Navigate to the frontend directory:
```bash
cd frontend
```
2. Install dependencies:
```bash
yarn
```
## Running the Application
### Running the Backend
1. Navigate to the backend directory:
```bash
cd backend
```
2. Activate the virtual environment:
```bash
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Start the backend server:
```bash
uvicorn app.main:app --reload
```
The backend will be available at http://localhost:8000
### Running the Frontend
1. Navigate to the frontend directory:
```bash
cd frontend
```
2. Start the development server:
```bash
yarn dev:watch
```
The frontend will be available at http://localhost:5173
## Building for Production
### Building the Backend
The backend can be deployed as a standard FastAPI application. You can use tools like Gunicorn with Uvicorn workers:
```bash
pip install gunicorn
gunicorn app.main:app -w 4 -k uvicorn.workers.UvicornWorker
```
### Building the Frontend
1. Navigate to the frontend directory:
```bash
cd frontend
```
2. Build the frontend:
```bash
yarn build
```
The built files will be in the `dist` directory and can be served by any static file server.
## API Endpoints
The backend provides the following API endpoints:
- `GET /news`: Get news articles with optional filtering
- `GET /meta/last_sync`: Get the timestamp of the last feed synchronization
- `POST /meta/cron`: Set the schedule for automatic feed synchronization
- `GET /meta/feeds`: List all configured feeds
- `POST /meta/feeds`: Add a new feed
- `DELETE /meta/feeds`: Delete a feed
- `GET /meta/model`: Check the status of the LLM model
- `POST /meta/sync`: Manually trigger a feed synchronization
## Environment Variables
### Backend
- `OLLAMA_HOST`: URL for the Ollama service
- `CRON_HOURS`: Interval for scheduled news fetching in hours
- `DATABASE_URL`: SQLite database connection string
## License
Code ist unter der [PolyForm Noncommercial 1.0.0](https://polyformproject.org/licenses/noncommercial/1.0.0/) lizenziert. Für jegliche kommerzielle Nutzung bitte Kontakt aufnehmen.