add cicd
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Leonid Pershin
312
.gitea/workflows/deploy.yml
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312
.gitea/workflows/deploy.yml
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name: Deploy
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on:
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push:
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branches:
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- master
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workflow_dispatch:
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jobs:
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deploy:
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name: Deploy to Production
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runs-on: ubuntu-latest
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environment: production
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Setup .NET
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uses: actions/setup-dotnet@v4
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with:
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dotnet-version: '9.0.x'
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- name: Restore dependencies
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run: dotnet restore --verbosity normal
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- name: Build application
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run: dotnet build --no-restore --configuration Release --verbosity normal
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- name: Publish application
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run: dotnet publish ChatBot/ChatBot.csproj --configuration Release --output ./publish --verbosity normal
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- name: Create deployment package
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run: |
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mkdir -p ./deployment
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cp -r ./publish/* ./deployment/
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cp -r ./ChatBot/Prompts ./deployment/
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cp ./ChatBot/appsettings.json ./deployment/
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cp ./ChatBot/appsettings.Production.json ./deployment/ 2>/dev/null || echo "Production config not found, using default"
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# Create deployment script
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cat > ./deployment/deploy.sh << 'EOF'
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#!/bin/bash
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set -e
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echo "Starting ChatBot deployment..."
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# Stop existing service if running
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sudo systemctl stop chatbot || echo "Service not running"
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# Backup current version
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if [ -d "/opt/chatbot" ]; then
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sudo mv /opt/chatbot /opt/chatbot.backup.$(date +%Y%m%d_%H%M%S)
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fi
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# Create application directory
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sudo mkdir -p /opt/chatbot
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# Copy new files
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sudo cp -r ./* /opt/chatbot/
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# Set permissions
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sudo chown -R chatbot:chatbot /opt/chatbot
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sudo chmod +x /opt/chatbot/ChatBot
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# Start service
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sudo systemctl start chatbot
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sudo systemctl enable chatbot
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echo "Deployment completed successfully!"
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EOF
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chmod +x ./deployment/deploy.sh
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# Create systemd service file
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cat > ./deployment/chatbot.service << 'EOF'
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[Unit]
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Description=ChatBot Telegram Service
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After=network.target postgresql.service
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Wants=postgresql.service
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[Service]
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Type=notify
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User=chatbot
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Group=chatbot
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WorkingDirectory=/opt/chatbot
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ExecStart=/opt/chatbot/ChatBot
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Restart=always
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RestartSec=10
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Environment=ASPNETCORE_ENVIRONMENT=Production
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Environment=ASPNETCORE_URLS=http://localhost:5000
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# Environment variables (set these in /etc/systemd/system/chatbot.service.d/override.conf)
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# Environment=TELEGRAM_BOT_TOKEN=your_bot_token
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# Environment=OLLAMA_URL=http://localhost:11434
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# Environment=OLLAMA_DEFAULT_MODEL=llama3.2
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# Environment=DB_HOST=localhost
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# Environment=DB_PORT=5432
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# Environment=DB_NAME=chatbot
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# Environment=DB_USER=postgres
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# Environment=DB_PASSWORD=your_password
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[Install]
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WantedBy=multi-user.target
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EOF
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# Create Docker Compose file for easy deployment
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cat > ./deployment/docker-compose.yml << 'EOF'
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version: '3.8'
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services:
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chatbot:
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build: .
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container_name: chatbot
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restart: unless-stopped
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environment:
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- ASPNETCORE_ENVIRONMENT=Production
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- TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
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- OLLAMA_URL=${OLLAMA_URL:-http://ollama:11434}
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- OLLAMA_DEFAULT_MODEL=${OLLAMA_DEFAULT_MODEL:-llama3.2}
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- DB_HOST=postgres
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- DB_PORT=5432
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- DB_NAME=${DB_NAME:-chatbot}
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- DB_USER=${DB_USER:-postgres}
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- DB_PASSWORD=${DB_PASSWORD}
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depends_on:
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- postgres
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- ollama
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networks:
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- chatbot-network
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postgres:
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image: postgres:15-alpine
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container_name: chatbot-postgres
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restart: unless-stopped
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environment:
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- POSTGRES_DB=${DB_NAME:-chatbot}
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- POSTGRES_USER=${DB_USER:-postgres}
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- POSTGRES_PASSWORD=${DB_PASSWORD}
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volumes:
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- postgres_data:/var/lib/postgresql/data
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- ./init.sql:/docker-entrypoint-initdb.d/init.sql
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networks:
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- chatbot-network
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ollama:
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image: ollama/ollama:latest
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container_name: chatbot-ollama
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restart: unless-stopped
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volumes:
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- ollama_data:/root/.ollama
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networks:
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- chatbot-network
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ports:
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- "11434:11434"
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volumes:
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postgres_data:
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ollama_data:
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networks:
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chatbot-network:
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driver: bridge
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EOF
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# Create Dockerfile
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cat > ./deployment/Dockerfile << 'EOF'
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FROM mcr.microsoft.com/dotnet/aspnet:9.0 AS base
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WORKDIR /app
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EXPOSE 8080
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EXPOSE 8081
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FROM mcr.microsoft.com/dotnet/sdk:9.0 AS build
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WORKDIR /src
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COPY ["ChatBot/ChatBot.csproj", "ChatBot/"]
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RUN dotnet restore "ChatBot/ChatBot.csproj"
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COPY . .
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WORKDIR "/src/ChatBot"
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RUN dotnet build "ChatBot.csproj" -c Release -o /app/build
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FROM build AS publish
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RUN dotnet publish "ChatBot.csproj" -c Release -o /app/publish /p:UseAppHost=false
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FROM base AS final
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WORKDIR /app
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COPY --from=publish /app/publish .
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COPY --from=publish /src/ChatBot/Prompts ./Prompts
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ENTRYPOINT ["dotnet", "ChatBot.dll"]
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EOF
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# Create .env.example file
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cat > ./deployment/.env.example << 'EOF'
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# Telegram Bot Configuration
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TELEGRAM_BOT_TOKEN=your_telegram_bot_token_here
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# Ollama Configuration
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OLLAMA_URL=http://localhost:11434
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OLLAMA_DEFAULT_MODEL=llama3.2
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# Database Configuration
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DB_HOST=localhost
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DB_PORT=5432
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DB_NAME=chatbot
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DB_USER=postgres
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DB_PASSWORD=your_secure_password_here
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EOF
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# Create README for deployment
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cat > ./deployment/README.md << 'EOF'
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# ChatBot Deployment
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## System Requirements
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- Ubuntu 20.04+ or similar Linux distribution
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- .NET 9.0 Runtime
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- PostgreSQL 12+
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- Ollama (for AI functionality)
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## Deployment Options
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### Option 1: Direct Deployment (Recommended for VPS)
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1. Copy all files to your server
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2. Install dependencies:
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```bash
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sudo apt update
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sudo apt install -y postgresql postgresql-contrib
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sudo apt install -y dotnet-runtime-9.0
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curl -fsSL https://ollama.ai/install.sh | sh
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```
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3. Create chatbot user:
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```bash
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sudo useradd -r -s /bin/false chatbot
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```
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4. Set up environment variables in systemd override:
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```bash
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sudo mkdir -p /etc/systemd/system/chatbot.service.d
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sudo nano /etc/systemd/system/chatbot.service.d/override.conf
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```
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5. Run deployment script:
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```bash
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sudo ./deploy.sh
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```
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### Option 2: Docker Deployment
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1. Install Docker and Docker Compose
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2. Copy .env.example to .env and configure
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3. Run:
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```bash
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docker-compose up -d
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```
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## Configuration
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Set the following environment variables:
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- TELEGRAM_BOT_TOKEN: Your Telegram bot token
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- OLLAMA_URL: Ollama server URL (default: http://localhost:11434)
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- OLLAMA_DEFAULT_MODEL: Model to use (default: llama3.2)
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- DB_*: Database connection settings
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## Health Checks
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The application includes health checks at:
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- /health/ollama
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- /health/telegram
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- /health (overall)
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EOF
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- name: Create deployment archive
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run: |
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cd deployment
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tar -czf ../chatbot-deployment-$(date +%Y%m%d_%H%M%S).tar.gz .
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cd ..
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ls -la *.tar.gz
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- name: Upload deployment artifacts
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uses: actions/upload-artifact@v3
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with:
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name: chatbot-deployment
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path: |
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./deployment/
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./chatbot-deployment-*.tar.gz
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retention-days: 30
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- name: Create release
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if: github.ref == 'refs/heads/master'
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uses: softprops/action-gh-release@v1
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with:
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tag_name: v${{ github.run_number }}
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name: ChatBot Release v${{ github.run_number }}
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body: |
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## ChatBot Release v${{ github.run_number }}
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### Changes
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- Automated deployment package
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- Includes Docker and systemd deployment options
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- Ready for production deployment
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### Deployment
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1. Download the deployment package
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2. Follow instructions in README.md
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3. Configure environment variables
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4. Deploy using your preferred method
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### Files Included
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- Application binaries
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- Docker configuration
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- Systemd service file
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- Deployment scripts
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- Documentation
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files: |
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./chatbot-deployment-*.tar.gz
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draft: false
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prerelease: false
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