feat(cnode): add standalone CLI for Docker server management
- Reorganized server management code: - Moved server_cli.py -> deploy/docker/cnode_cli.py - Moved server_manager.py -> deploy/docker/server_manager.py - Created fast Python-based installation (0.1s startup): - deploy/installer/cnode_pkg/ - Standalone package - deploy/installer/install-cnode.sh - Local installer - deploy/installer/deploy.sh - Remote installer for users - Added backward compatibility: - crawl4ai/cli.py: 'crwl server' redirects to 'cnode' - Updated tests to match new CLI structure (12/12 passing) - Automated sync workflow: - .githooks/pre-commit - Auto-syncs source to package - setup-hooks.sh - One-time setup for contributors - deploy/installer/sync-cnode.sh - Manual sync script Performance: - Startup time: 0.1s (49x faster than PyInstaller) - Size: ~50KB wrapper vs 8.8MB binary Commands: cnode start [--replicas N] # Start server/cluster cnode status # Check status cnode scale N # Scale replicas cnode logs [-f] # View logs cnode stop # Stop server
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# Crawl4AI Node Manager (cnode) - Installation & Distribution
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This directory contains the standalone `cnode` package and installation scripts for managing Crawl4AI Docker server instances.
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## Overview
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`cnode` is a fast, lightweight CLI tool for managing Crawl4AI Docker servers. It provides:
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- One-command deployment with automatic scaling
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- Single container for development (N=1)
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- Docker Swarm for production with built-in load balancing (N>1)
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- Docker Compose + Nginx as fallback (N>1)
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## Directory Structure
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```
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deploy/installer/
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├── README.md # This file
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├── cnode_pkg/ # Standalone Python package
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│ ├── __init__.py # Package marker
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│ ├── cli.py # CLI interface (commands)
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│ ├── server_manager.py # Docker orchestration logic
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│ └── requirements.txt # Python dependencies
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├── install-cnode.sh # Local installation script
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├── deploy.sh # Remote installation script (for users)
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└── releases/ # Release artifacts for distribution
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```
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## Installation
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### For Users (Remote Installation)
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Users can install `cnode` directly from the web:
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```bash
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# Install from GitHub/website
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curl -sSL https://crawl4ai.com/install-cnode.sh | bash
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# Or with wget
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wget -qO- https://crawl4ai.com/install-cnode.sh | bash
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```
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### For Local Testing
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Test the installation locally:
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```bash
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cd deploy/installer
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./install-cnode.sh
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```
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## Package Contents
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### `cnode_pkg/` - Python Package
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This is a self-contained Python package with:
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- **`cli.py`**: Click-based CLI with all commands (start, stop, status, scale, logs, cleanup, restart)
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- **`server_manager.py`**: Core Docker orchestration logic
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- **`requirements.txt`**: Dependencies (click, rich, anyio, pyyaml)
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- **`__init__.py`**: Package initialization
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### Installation Script
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**`install-cnode.sh`** does the following:
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1. Checks for Python 3.8+ and pip
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2. Checks for Docker (warns if not found)
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3. Installs Python dependencies
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4. Copies `cnode_pkg/` to `/usr/local/lib/cnode/`
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5. Creates wrapper script at `/usr/local/bin/cnode`
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6. Verifies installation
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### Wrapper Script
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Created at `/usr/local/bin/cnode`:
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```bash
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#!/usr/bin/env bash
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set -e
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# Find Python
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if command -v python3 &> /dev/null; then
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PYTHON_CMD="python3"
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elif command -v python &> /dev/null; then
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PYTHON_CMD="python"
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else
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echo "Error: Python 3.8+ required" >&2
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exit 1
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fi
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# Run cnode
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export PYTHONPATH="/usr/local/lib/cnode:$PYTHONPATH"
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exec $PYTHON_CMD -m cnode_pkg.cli "$@"
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```
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## Performance
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**Blazing Fast Startup:**
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- **~0.1 seconds** to launch
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- 49x faster than compiled binary alternatives
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- Minimal overhead, maximum responsiveness
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## Requirements
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### User Requirements
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- Python 3.8 or higher
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- pip (Python package manager)
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- Docker (for running servers)
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### Dependencies (Auto-installed)
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- click >= 8.0.0 (CLI framework)
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- rich >= 13.0.0 (Terminal formatting)
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- anyio >= 3.0.0 (Async I/O)
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- pyyaml >= 6.0.0 (YAML parsing)
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## Usage
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After installation:
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```bash
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# Quick start
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cnode start # Single container on port 11235
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cnode start --replicas 5 # 5-replica cluster
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cnode status # Check server status
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cnode logs -f # Follow logs
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cnode scale 10 # Scale to 10 replicas
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cnode stop # Stop server
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# Get help
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cnode --help
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cnode start --help
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```
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## Development Workflow
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### Making Changes
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1. **Edit source code** in `deploy/docker/`:
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```bash
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vim deploy/docker/cnode_cli.py
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vim deploy/docker/server_manager.py
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```
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2. **Update package** by copying to installer:
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```bash
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# Copy CLI
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cp deploy/docker/cnode_cli.py deploy/installer/cnode_pkg/cli.py
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# Fix imports (deploy.docker → cnode_pkg)
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sed -i 's/from deploy\.docker\./from cnode_pkg./g' deploy/installer/cnode_pkg/cli.py
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# Copy server manager
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cp deploy/docker/server_manager.py deploy/installer/cnode_pkg/server_manager.py
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```
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3. **Test locally**:
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```bash
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cd deploy/installer
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./install-cnode.sh
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cnode --help
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```
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4. **Commit both**:
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```bash
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git add deploy/docker/cnode_cli.py
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git add deploy/installer/cnode_pkg/cli.py
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git commit -m "Update cnode: [description]"
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```
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### Creating a Release
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1. **Tag the release**:
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```bash
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git tag -a v1.0.0 -m "Release v1.0.0"
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git push origin v1.0.0
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```
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2. **Package for distribution**:
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```bash
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cd deploy/installer
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tar -czf releases/cnode-v1.0.0.tar.gz cnode_pkg/ install-cnode.sh
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```
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3. **Create GitHub release**:
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```bash
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gh release create v1.0.0 \
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releases/cnode-v1.0.0.tar.gz \
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--title "cnode v1.0.0" \
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--notes "Release notes here"
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```
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4. **Update deployment script** (if needed):
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- Update `deploy.sh` with new version/URL
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- Upload to hosting (e.g., `https://crawl4ai.com/install-cnode.sh`)
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## Deployment
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### Remote Installation Script
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The `deploy.sh` script is meant to be hosted at a public URL for user installation:
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```bash
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# Upload to your server
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scp deploy.sh user@crawl4ai.com:/var/www/html/install-cnode.sh
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# Or use GitHub raw URL
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https://raw.githubusercontent.com/unclecode/crawl4ai/main/deploy/installer/deploy.sh
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```
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Users can then install with:
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```bash
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curl -sSL https://crawl4ai.com/install-cnode.sh | bash
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```
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## Backward Compatibility
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The main Crawl4AI CLI (`crwl`) includes a redirect for backward compatibility:
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```bash
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# These work identically:
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crwl server start --replicas 3
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cnode start --replicas 3
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# All subcommands redirect:
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crwl server status → cnode status
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crwl server stop → cnode stop
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crwl server scale 5 → cnode scale 5
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crwl server logs -f → cnode logs -f
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```
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This ensures existing scripts continue working while users migrate to `cnode`.
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## Uninstallation
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To remove cnode:
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```bash
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# Remove command
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sudo rm /usr/local/bin/cnode
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# Remove package
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sudo rm -rf /usr/local/lib/cnode
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# (Optional) Uninstall dependencies
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pip uninstall click rich anyio pyyaml
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```
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## Troubleshooting
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### Python Not Found
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```bash
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# Install Python 3.8+
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# macOS: brew install python3
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# Ubuntu: sudo apt install python3 python3-pip
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# RHEL/CentOS: sudo yum install python3 python3-pip
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```
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### Permission Denied
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```bash
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# Run installer with sudo
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sudo ./install-cnode.sh
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# Or change install location
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INSTALL_DIR=$HOME/.local/bin ./install-cnode.sh
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```
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### Command Not Found After Install
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```bash
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# Add to PATH in ~/.bashrc or ~/.zshrc
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export PATH="/usr/local/bin:$PATH"
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# Reload shell
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source ~/.bashrc # or source ~/.zshrc
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```
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### Dependencies Install Failed
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```bash
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# Install manually
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pip install --user click rich anyio pyyaml
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# Or with break-system-packages (if needed)
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pip install --user --break-system-packages click rich anyio pyyaml
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```
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### Docker Not Running
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```bash
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# macOS: Start Docker Desktop
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# Linux: sudo systemctl start docker
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# Check Docker
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docker --version
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docker ps
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```
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## Architecture
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### Component Flow
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```
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User runs: cnode start
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↓
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/usr/local/bin/cnode (wrapper script)
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↓
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Finds python3 executable
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↓
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Sets PYTHONPATH=/usr/local/lib/cnode
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↓
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python3 -m cnode_pkg.cli start
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↓
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cli.py → start_cmd()
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↓
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server_manager.py → ServerManager.start()
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↓
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Docker orchestration (single/swarm/compose)
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↓
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Server running!
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```
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### Why Python Wrapper vs Binary?
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We chose a Python wrapper over compiled binaries (PyInstaller) because:
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| Metric | Python Wrapper | PyInstaller Binary |
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|--------|---------------|-------------------|
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| Startup time | **0.1s** | 4.7s |
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| Size | ~50KB wrapper | 8.8MB |
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| Updates | Easy (just copy files) | Rebuild required |
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| Dependencies | Python 3.8+ | None |
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| Platform | Any with Python | OS-specific builds |
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Since users running Crawl4AI already have Python, the wrapper is the clear winner.
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## Support
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For issues or questions:
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- GitHub Issues: https://github.com/unclecode/crawl4ai/issues
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- Documentation: https://docs.crawl4ai.com
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- Discord: https://discord.gg/crawl4ai
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## Version History
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- **v1.0.0**: Initial release with Python wrapper approach
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- Fast startup (~0.1s)
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- Supports single container, Docker Swarm, and Compose modes
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- Auto-scaling and load balancing
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- Real-time monitoring and logs
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