# Ubuntu/Debian
curl -fsSL https://get.docker.com | sh
sudo usermod -aG docker $USER

# CentOS
sudo yum install -y docker docker-compose
sudo systemctl start docker
sudo systemctl enable docker

# Clone code (or upload code to server)
git clone <your-repo-url> /opt/stock-analyzer
cd /opt/stock-analyzer

# Copy and edit configuration file
cp .env.example .env
vim .env  # Fill in real API Keys and configuration

# Build and start
docker-compose -f ./docker/docker-compose.yml up -d

# View logs
docker-compose -f ./docker/docker-compose.yml logs -f

# View running status
docker-compose -f ./docker/docker-compose.yml ps

# Stop services
docker-compose -f ./docker/docker-compose.yml down

# Restart services
docker-compose -f ./docker/docker-compose.yml restart

# Redeploy after code update
git pull
docker-compose -f ./docker/docker-compose.yml build --no-cache
docker-compose -f ./docker/docker-compose.yml up -d

# Enter container for debugging
docker-compose -f ./docker/docker-compose.yml exec stock-analyzer bash

# Manually run analysis once
docker-compose -f ./docker/docker-compose.yml exec stock-analyzer python main.py --no-notify

# Install Python 3.10+
sudo apt update
sudo apt install -y python3.10 python3.10-venv python3-pip

# Create virtual environment
python3.10 -m venv /opt/stock-analyzer/venv
source /opt/stock-analyzer/venv/bin/activate

cd /opt/stock-analyzer
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

cp .env.example .env
vim .env  # Fill in configuration

# Single run
python main.py

# Scheduled task mode (foreground)
python main.py --schedule

# Background run (using nohup)
nohup python main.py --schedule > /dev/null 2>&1 &

sudo vim /etc/systemd/system/stock-analyzer.service

[Unit]
Description=AI Stock Analysis System
After=network.target

[Service]
Type=simple
User=root
WorkingDirectory=/opt/stock-analyzer
Environment="PATH=/opt/stock-analyzer/venv/bin"
ExecStart=/opt/stock-analyzer/venv/bin/python main.py --schedule
Restart=always
RestartSec=30

[Install]
WantedBy=multi-user.target

# Reload configuration
sudo systemctl daemon-reload

# Start service
sudo systemctl start stock-analyzer

# Enable auto-start on boot
sudo systemctl enable stock-analyzer

# View status
sudo systemctl status stock-analyzer

# View logs
journalctl -u stock-analyzer -f

environment:
  - http_proxy=http://your-proxy:port
  - https_proxy=http://your-proxy:port

os.environ["http_proxy"] = "http://your-proxy:port"
os.environ["https_proxy"] = "http://your-proxy:port"

# Docker method
docker-compose -f ./docker/docker-compose.yml logs -f --tail=100

# Direct deployment
tail -f /opt/stock-analyzer/logs/stock_analysis_*.log

# Check process
ps aux | grep main.py

# Check recent reports
ls -la /opt/stock-analyzer/reports/

# Clean old logs (keep 7 days)
find /opt/stock-analyzer/logs -mtime +7 -delete

# Clean old reports (keep 30 days)
find /opt/stock-analyzer/reports -mtime +30 -delete

# Clear cache and rebuild
docker-compose -f ./docker/docker-compose.yml build --no-cache

# Stop service then delete lock file
rm /opt/stock-analyzer/data/*.lock

deploy:
  resources:
    limits:
      memory: 1G

# Source server: Package
cd /opt/stock-analyzer
tar -czvf stock-analyzer-backup.tar.gz .env data/ logs/ reports/

# Target server: Deploy
mkdir -p /opt/stock-analyzer
cd /opt/stock-analyzer
git clone <your-repo-url> .
tar -xzvf stock-analyzer-backup.tar.gz
docker-compose -f ./docker/docker-compose.yml up -d

# Initialize git (if not already)
cd /path/to/daily_stock_analysis
git init
git add .
git commit -m "Initial commit"

# Create GitHub repo and push
# After creating new repo on GitHub web:
git remote add origin https://github.com/your-username/daily_stock_analysis.git
git branch -M main
git push -u origin main

git add .github/workflows/daily_analysis.yml
git commit -m "Add GitHub Actions workflow"
git push

schedule:
  - cron: '0 10 * * 1-5'  # UTC time, +8 = Beijing time

# Modify .env.example or set default value in code
git commit -am "Update stock list"
git push