| Name | grim-reaper JSON |
| Version |
1.0.9
JSON |
| download |
| home_page | https://grim.so |
| Summary | Grim: Unified Data Protection Ecosystem. When data death comes knocking, Grim ensures resurrection is just a command away. License management, auto backups, highly compressed backups, multi-algorithm compression, content-based deduplication, smart storage tiering save up to 60% space, military-grade encryption, license protection, security surveillance, and automated threat response. |
| upload_time | 2025-07-24 22:37:39 |
| maintainer | None |
| docs_url | None |
| author | Bernie Gengel and his beagle Buddy |
| requires_python | >=3.8 |
| license | By using this software you agree to the official license available at https://grim.so/license |
| keywords |
grim
backup
monitoring
security
cli
orchestration
system-management
compression
encryption
ai
machine-learning
grim-reaper
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Grim Reaper 🗡️ Python Package
[](https://pypi.org/project/grim-reaper/)
[](https://pypi.org/project/grim-reaper/)
[](https://grim.so/license)
**When data death comes knocking, Grim ensures resurrection is just a command away.**
Enterprise-grade data protection platform with AI-powered backup decisions, military-grade encryption, multi-algorithm compression, content-based deduplication, real-time monitoring, and automated threat response.
## 🚀 Quick Install
```bash
pip install grim-reaper
```
## 🎯 Quick Start
```python
from grim_reaper import GrimReaper
import asyncio
# Initialize Grim Reaper
grim = GrimReaper()
# Quick backup
await grim.backup('/important/data')
# Start monitoring
await grim.monitor('/var/log')
# Health check
health = await grim.health_check()
print(f"System Status: {health.status}")
```
## 📋 Complete Command Reference
All commands use the unified Grim Reaper command structure:
### 🤖 AI & Machine Learning
```bash
# AI Decision Engine
grim ai-decision init # Initialize AI decision engine
grim ai-decision analyze # Analyze files for intelligent backup decisions
grim ai-decision backup-priority # Determine backup priorities using AI
grim ai-decision storage-optimize # Optimize storage allocation with AI
grim ai-decision resource-manage # Manage system resources intelligently
grim ai-decision validate # Validate AI models and decisions
grim ai-decision report # Generate AI analysis report
grim ai-decision config # Configure AI parameters
grim ai-decision status # Check AI engine status
# AI Integration
grim ai init # Initialize AI integration framework
grim ai install # Install AI dependencies (TensorFlow/PyTorch)
grim ai train # Train AI models on your data
grim ai predict # Generate predictions from models
grim ai analyze # Analyze data patterns
grim ai optimize # Optimize AI performance
grim ai monitor # Monitor AI operations
grim ai validate # Validate model accuracy
grim ai report # Generate integration report
grim ai config # Configure AI integration
grim ai status # Check integration status
# AI Production Deployment
grim ai-deploy deploy # Deploy AI models to production
grim ai-deploy test # Run automated deployment tests
grim ai-deploy rollback # Rollback to previous version
grim ai-deploy monitor # Monitor deployed models
grim ai-deploy health # Check deployment health
grim ai-deploy backup # Backup current deployment
grim ai-deploy restore # Restore from backup
grim ai-deploy status # Check deployment status
# AI Training
grim ai-train analyze # Analyze training data
grim ai-train train # Train base models
grim ai-train predict # Generate predictions
grim ai-train cluster # Perform clustering analysis
grim ai-train extract # Extract features from data
grim ai-train validate # Validate model performance
grim ai-train report # Generate training report
grim ai-train neural # Train neural networks
grim ai-train ensemble # Train ensemble models
grim ai-train timeseries # Time series analysis
grim ai-train regression # Train regression models
grim ai-train classify # Train classification models
grim ai-train config # Configure training parameters
grim ai-train init # Initialize training environment
# AI Velocity Enhancement
grim ai-turbo turbo # Activate turbo mode for AI
grim ai-turbo optimize # Optimize AI performance
grim ai-turbo benchmark # Run performance benchmarks
grim ai-turbo validate # Validate optimizations
grim ai-turbo deploy # Deploy optimized models
grim ai-turbo monitor # Monitor performance gains
grim ai-turbo report # Generate performance report
```
### 💾 Backup & Recovery
```bash
# Core Backup Operations
grim backup create # Create intelligent backup
grim backup verify # Verify backup integrity
grim backup list # List all backups
# Core Backup Engine
grim backup-core create # Create core backup with progress
grim backup-core verify # Verify backup checksums
grim backup-core restore # Restore from backup
grim backup-core status # Check backup system status
grim backup-core init # Initialize backup system
# Automatic Backup Daemon
grim auto-backup start # Start automatic backup daemon
grim auto-backup stop # Stop backup daemon
grim auto-backup restart # Restart backup daemon
grim auto-backup status # Check daemon status
grim auto-backup health # Health check with diagnostics
# Restore Operations
grim restore recover # Restore from backup
grim restore list # List available restore points
grim restore verify # Verify restore integrity
# Deduplication
grim dedup dedup # Deduplicate files
grim dedup restore # Restore deduplicated files
grim dedup cleanup # Clean orphaned chunks
grim dedup stats # Show deduplication statistics
grim dedup verify # Verify dedup integrity
grim dedup benchmark # Run deduplication benchmarks
```
### 📊 System Monitoring & Health
```bash
# System Monitoring
grim monitor start # Start system monitoring
grim monitor stop # Stop monitoring
grim monitor status # Check monitor status
grim monitor show # Show current metrics
grim monitor report # Generate monitoring report
# Health Checking
grim health check # Complete health check
grim health fix # Auto-fix detected issues
grim health report # Generate health report
grim health monitor # Continuous health monitoring
# Enhanced Health Monitoring
grim health-check check # Enhanced health check
grim health-check services # Check all services
grim health-check disk # Check disk health
grim health-check memory # Check memory status
grim health-check network # Check network health
grim health-check fix # Auto-fix all issues
grim health-check report # Detailed health report
```
### 🔒 Security & Compliance
```bash
# Security Auditing
grim audit full # Complete security audit
grim audit permissions # Audit file permissions
grim audit compliance # Check compliance (CIS/STIG/NIST)
grim audit backups # Audit backup integrity
grim audit logs # Audit access logs
grim audit config # Audit configuration security
grim audit report # Generate audit report
# Security Operations
grim security scan # Run security scan
grim security audit # Deep security audit
grim security fix # Auto-fix vulnerabilities
grim security report # Generate security report
grim security monitor # Start security monitoring
# Security Testing
grim security-testing vulnerability # Run vulnerability tests
grim security-testing penetration # Run penetration tests
grim security-testing compliance # Test compliance standards
grim security-testing report # Generate test report
# File Encryption
grim encrypt encrypt # Encrypt files
grim encrypt decrypt # Decrypt files
grim encrypt key-gen # Generate encryption keys
grim encrypt verify # Verify encryption
# File Verification
grim verify integrity # Verify file integrity
grim verify checksum # Verify checksums
grim verify signature # Verify digital signatures
grim verify backup # Verify backup integrity
# Multi-Language Scanner
grim scanner scan # Multi-threaded file system scan
grim scanner info # Get file information and summary
grim scanner hash # Calculate file hashes (MD5/SHA256)
grim scanner py-scan # Python-based security scanning
grim scanner security # Security vulnerability scan
grim scanner malware # Malware detection scan
grim scanner vulnerability # Deep vulnerability scan
grim scanner compliance # Compliance verification scan
grim scanner report # Generate scan report
```
### 🚀 Performance & Optimization
```bash
# High-Performance Compression
grim compression compress # Compress with Go binary (8 algorithms)
grim compression decompress # Decompress files
grim compression benchmark # Run compression benchmarks
grim compression optimize # Optimize compression
grim compression analyze # Analyze compression potential
grim compression list # List compressed files
grim compression cleanup # Clean temporary files
# System Optimization
grim blacksmith optimize # System-wide optimization
grim blacksmith maintain # Run maintenance tasks
grim blacksmith forge # Create new tools
grim blacksmith list-tools # List available tools
grim blacksmith run-tool # Run specific tool
grim blacksmith schedule # Schedule maintenance
grim blacksmith list-scheduled # List scheduled tasks
grim blacksmith backup-tools # Backup custom tools
grim blacksmith restore-tools # Restore tools
grim blacksmith update-tools # Update all tools
grim blacksmith stats # Show forge statistics
grim blacksmith config # Configure forge
# Performance Testing
grim performance-test cpu # Test CPU performance
grim performance-test memory # Test memory performance
grim performance-test disk # Test disk I/O
grim performance-test network # Test network throughput
grim performance-test full # Run all performance tests
grim performance-test report # Generate performance report
# System Cleanup
grim cleanup all # Clean everything safely
grim cleanup backups # Clean old backups
grim cleanup temp # Clean temporary files
grim cleanup logs # Clean old logs
grim cleanup database # Clean database
grim cleanup duplicates # Remove duplicate files
grim cleanup report # Preview cleanup actions
```
### 🌐 Web Services & APIs
```bash
# Web Services
grim web start # Start FastAPI web server
grim web stop # Stop all web services
grim web restart # Restart web server
grim web gateway # Start API gateway with load balancing
grim web api # Start API application
grim web status # Show web services status
# Monitoring Dashboard
grim dashboard start # Start web dashboard
grim dashboard stop # Stop dashboard
grim dashboard restart # Restart dashboard
grim dashboard status # Check dashboard status
grim dashboard config # Configure dashboard
grim dashboard init # Initialize dashboard
grim dashboard setup # Run setup wizard
grim dashboard logs # View dashboard logs
# API Gateway
grim gateway start # Start API gateway
grim gateway stop # Stop gateway
grim gateway status # Gateway status
grim gateway config # Configure gateway
```
### ☁️ Cloud & Distributed Systems
```bash
# Cloud Platform Integration
grim cloud init # Initialize cloud platform
grim cloud aws # Deploy to AWS
grim cloud azure # Deploy to Azure
grim cloud gcp # Deploy to Google Cloud
grim cloud serverless # Deploy serverless functions
grim cloud comprehensive # Full cloud deployment
# Distributed Architecture
grim distributed init # Initialize distributed system
grim distributed deploy # Deploy microservices
grim distributed scale # Scale services
grim distributed balance # Configure load balancing
grim distributed monitor # Monitor distributed system
# Load Balancing
grim load-balancer start # Start load balancer
grim load-balancer stop # Stop load balancer
grim load-balancer status # Check balancer status
grim load-balancer add-server # Add backend server
grim load-balancer remove-server # Remove backend server
# File Transfer (Multi-Protocol)
grim transfer upload # Upload files to destination
grim transfer download # Download files from source
grim transfer resume # Resume interrupted transfer
grim transfer verify # Verify transfer integrity
```
### 🧪 Testing & Quality Assurance
```bash
# Testing Framework
grim testing run # Run all tests
grim testing benchmark # Run benchmarks
grim testing ci # CI/CD test suite
grim testing report # Generate test report
# Quality Assurance
grim qa code-review # Automated code review
grim qa static-analysis # Static code analysis
grim qa security-scan # Security scanning
grim qa performance-test # Performance testing
grim qa integration-test # Integration testing
grim qa report # Generate QA report
# User Acceptance Testing
grim user-acceptance run # Run acceptance tests
grim user-acceptance generate # Generate test scenarios
grim user-acceptance validate # Validate user workflows
grim user-acceptance report # Generate UAT report
```
### 🔧 System Maintenance & Operations
```bash
# Central Orchestrator (Scythe)
grim scythe harvest # Orchestrate all operations
grim scythe analyze # Analyze system state
grim scythe report # Generate master report
grim scythe monitor # Monitor all operations
grim scythe status # Show orchestrator status
grim scythe backup # Orchestrated backup operations
# Logging System
grim log init # Initialize logging system
grim log setup # Setup logger configuration
grim log event # Log structured event
grim log metric # Log performance metric
grim log rotate # Rotate log files
grim log cleanup # Clean up old log files
grim log status # Show logging system status
grim log tail # Tail log file
# Configuration Management
grim config load # Load configuration
grim config save # Save configuration
grim config get # Get configuration value
grim config set # Set configuration value
grim config validate # Validate configuration
```
## 🐍 Python-Specific Integration
### FastAPI Integration
```python
from fastapi import FastAPI, BackgroundTasks
from grim_reaper import GrimReaper
import asyncio
app = FastAPI()
grim = GrimReaper()
@app.post("/backup")
async def create_backup(path: str, background_tasks: BackgroundTasks):
"""Create backup asynchronously"""
background_tasks.add_task(grim.backup, path)
return {"status": "backup_started", "path": path}
@app.get("/health")
async def health_check():
"""System health endpoint"""
health = await grim.health_check()
return {
"status": health.status,
"details": health.details,
"timestamp": health.timestamp
}
@app.get("/monitor/{path:path}")
async def start_monitoring(path: str):
"""Start monitoring a path"""
await grim.monitor(path)
return {"status": "monitoring_started", "path": path}
```
### Django Integration
```python
# settings.py
INSTALLED_APPS = [
'grim_reaper.django',
# ... other apps
]
GRIM_REAPER = {
'BACKUP_PATH': '/opt/backups',
'COMPRESSION': 'zstd',
'ENCRYPTION': True,
'AI_ENABLED': True,
}
# In your Django views
from django.http import JsonResponse
from grim_reaper import GrimReaper
from django.conf import settings
import asyncio
async def backup_view(request):
grim = GrimReaper(config=settings.GRIM_REAPER)
# Backup Django project with specific exclusions
await grim.backup(settings.BASE_DIR, exclude=[
'media/cache',
'*.pyc',
'__pycache__',
'node_modules',
'.git'
])
return JsonResponse({'status': 'backup_completed'})
# Management command
# management/commands/grim_backup.py
from django.core.management.base import BaseCommand
from grim_reaper import GrimReaper
import asyncio
class Command(BaseCommand):
help = 'Run Grim Reaper backup'
def handle(self, *args, **options):
async def backup():
grim = GrimReaper()
await grim.backup('/opt/django_project')
asyncio.run(backup())
```
### Flask Integration
```python
from flask import Flask, jsonify, request
from grim_reaper import GrimReaper
import asyncio
from concurrent.futures import ThreadPoolExecutor
app = Flask(__name__)
grim = GrimReaper()
executor = ThreadPoolExecutor()
def run_async(coro):
"""Helper to run async functions in Flask"""
loop = asyncio.new_event_loop()
try:
return loop.run_until_complete(coro)
finally:
loop.close()
@app.route('/backup', methods=['POST'])
def backup():
data = request.get_json()
path = data.get('path')
# Run backup in thread pool
future = executor.submit(run_async, grim.backup(path))
return jsonify({'status': 'backup_started', 'path': path})
@app.route('/monitor/<path:path>')
def monitor(path):
executor.submit(run_async, grim.monitor(path))
return jsonify({'status': 'monitoring_started', 'path': path})
@app.route('/health')
def health():
health_status = run_async(grim.health_check())
return jsonify(health_status.to_dict())
```
### Celery Integration
```python
from celery import Celery
from grim_reaper import GrimReaper
import asyncio
app = Celery('grim_tasks')
grim = GrimReaper()
@app.task
def backup_task(path, options=None):
"""Celery task for backups"""
async def backup():
return await grim.backup(path, **(options or {}))
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
return loop.run_until_complete(backup())
finally:
loop.close()
@app.task
def monitor_task(path):
"""Celery task for monitoring"""
async def monitor():
return await grim.monitor(path)
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
return loop.run_until_complete(monitor())
finally:
loop.close()
@app.task
def health_check_task():
"""Periodic health check task"""
async def health():
return await grim.health_check()
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
result = loop.run_until_complete(health())
return result.to_dict()
finally:
loop.close()
# Schedule periodic tasks
from celery.schedules import crontab
app.conf.beat_schedule = {
'health-check': {
'task': 'grim_tasks.health_check_task',
'schedule': crontab(minute='*/15'), # Every 15 minutes
},
'daily-backup': {
'task': 'grim_tasks.backup_task',
'schedule': crontab(hour=2, minute=0), # Daily at 2 AM
'args': ('/important/data',)
},
}
```
### Pandas/Data Science Integration
```python
import pandas as pd
from grim_reaper import GrimReaper
import asyncio
grim = GrimReaper()
# Backup data science projects with intelligent compression
async def backup_data_project(project_path: str):
"""Backup data science project with optimizations"""
# Configure for data science files
config = {
'compression': 'zstd', # Best for mixed data
'exclude_patterns': [
'*.pyc', '__pycache__', '.ipynb_checkpoints',
'wandb/', 'mlruns/', '.git/'
],
'include_large_files': True, # Include datasets
'ai_analysis': True, # Use AI to determine importance
}
result = await grim.backup(project_path, **config)
# Create backup metadata DataFrame
backup_info = pd.DataFrame([{
'backup_id': result.backup_id,
'timestamp': result.timestamp,
'size_original': result.size_original,
'size_compressed': result.size_compressed,
'compression_ratio': result.compression_ratio,
'files_backed_up': result.files_count,
'ai_score': result.ai_importance_score
}])
return backup_info
# Monitor model training runs
async def monitor_training(experiment_path: str):
"""Monitor ML training with specialized metrics"""
monitor_config = {
'track_gpu_usage': True,
'track_memory': True,
'track_file_changes': True,
'alert_on_errors': True,
'save_metrics': True
}
await grim.monitor(experiment_path, **monitor_config)
# Example usage
async def main():
# Backup Jupyter notebooks and datasets
project_backup = await backup_data_project('/opt/ml_project')
print(f"Backup completed: {project_backup['compression_ratio'].iloc[0]:.2f}x compression")
# Start monitoring training
await monitor_training('/opt/ml_project/experiments')
if __name__ == "__main__":
asyncio.run(main())
```
### Jupyter Notebook Integration
```python
# In Jupyter Notebook cells
from IPython.display import display, HTML
from grim_reaper import GrimReaper
import asyncio
# Initialize in notebook
grim = GrimReaper()
# Backup current notebook automatically
async def auto_backup_notebook():
import os
notebook_path = os.getcwd()
result = await grim.backup(notebook_path,
include=['*.ipynb', '*.py', '*.csv', '*.pkl'],
compression='lz4') # Fast compression for frequent saves
display(HTML(f"""
<div style="background-color: #d4edda; padding: 10px; border-radius: 5px;">
<strong>✅ Notebook Backed Up</strong><br>
ID: {result.backup_id}<br>
Size: {result.size_compressed} (compressed)<br>
Ratio: {result.compression_ratio:.2f}x
</div>
"""))
# Create magic command for easy backup
from IPython.core.magic import register_line_magic
@register_line_magic
def grim_backup(line):
"""Magic command: %grim_backup [path]"""
path = line.strip() or '.'
asyncio.create_task(grim.backup(path))
print(f"🗡️ Backup started for: {path}")
# Monitor notebook execution
async def monitor_notebook():
"""Monitor notebook for changes and errors"""
import os
notebook_dir = os.getcwd()
await grim.monitor(notebook_dir,
watch_patterns=['*.ipynb'],
auto_backup=True,
backup_interval=300) # Backup every 5 minutes
# Health check widget
from ipywidgets import Button, Output
import asyncio
health_output = Output()
async def check_health(button):
with health_output:
health_output.clear_output()
health = await grim.health_check()
status_color = "green" if health.status == "healthy" else "red"
print(f"🗡️ System Status: \033[{status_color}m{health.status.upper()}\033[0m")
print(f"📊 Memory Usage: {health.memory_usage}%")
print(f"💾 Disk Usage: {health.disk_usage}%")
print(f"🔄 Last Backup: {health.last_backup}")
health_button = Button(description="Check Health")
health_button.on_click(check_health)
display(health_button, health_output)
```
### Python Code Examples
```python
import asyncio
from grim_reaper import GrimReaper, Config
from pathlib import Path
# Initialize with custom configuration
config = Config(
backup_path='/opt/backups',
compression_algorithm='zstd',
encryption_enabled=True,
ai_analysis=True,
max_concurrent_operations=4
)
grim = GrimReaper(config=config)
# Advanced backup with Python-specific options
async def backup_python_project(project_path: str):
"""Backup Python project with intelligent exclusions"""
result = await grim.backup(
project_path,
exclude_patterns=[
'__pycache__/', '*.pyc', '*.pyo', '*.pyd',
'.pytest_cache/', '.coverage', '.tox/',
'venv/', 'env/', '.env/', 'node_modules/',
'.git/', '.svn/', '.hg/',
'*.log', 'logs/', 'tmp/', 'temp/'
],
include_requirements=True, # Include requirements.txt analysis
analyze_dependencies=True, # Analyze Python dependencies
create_environment_snapshot=True, # Snapshot virtual environment
compression='zstd' # High compression for source code
)
print(f"✅ Backup completed:")
print(f" ID: {result.backup_id}")
print(f" Original size: {result.original_size_mb:.1f} MB")
print(f" Compressed size: {result.compressed_size_mb:.1f} MB")
print(f" Compression ratio: {result.compression_ratio:.2f}x")
print(f" Files backed up: {result.files_count}")
return result
# Monitor Python application with specialized tracking
async def monitor_python_app(app_path: str):
"""Monitor Python application with specialized metrics"""
monitor_config = {
'track_python_processes': True,
'track_memory_leaks': True,
'track_import_errors': True,
'track_exception_patterns': True,
'alert_on_crashes': True,
'log_performance_metrics': True
}
await grim.monitor(app_path, **monitor_config)
print(f"🔍 Monitoring started for Python app: {app_path}")
# Compress with Python syntax validation
async def compress_with_validation(source_path: str, target_path: str):
"""Compress Python files with syntax validation"""
result = await grim.compress(
source_path,
target_path,
algorithm='zstd',
validate_python_syntax=True, # Check syntax before compression
preserve_line_numbers=True, # Maintain debugging info
strip_comments=False, # Keep documentation
optimize_bytecode=True # Optimize .pyc files
)
if result.syntax_errors:
print(f"⚠️ Syntax errors found in {len(result.syntax_errors)} files:")
for error in result.syntax_errors:
print(f" {error.file}: {error.message}")
else:
print(f"✅ All Python files validated and compressed successfully")
return result
# Health check with Python-specific diagnostics
async def python_health_check():
"""Comprehensive health check for Python environment"""
health = await grim.health_check(
check_python_version=True,
check_pip_packages=True,
check_virtual_env=True,
check_import_paths=True,
check_memory_usage=True,
check_disk_space=True,
validate_requirements=True
)
print(f"🐍 Python Environment Health Check:")
print(f" Overall Status: {health.overall_status}")
print(f" Python Version: {health.python_version}")
print(f" Virtual Environment: {health.venv_status}")
print(f" Package Issues: {len(health.package_issues)}")
print(f" Memory Usage: {health.memory_usage}%")
print(f" Disk Space: {health.disk_free_gb:.1f} GB free")
if health.recommendations:
print(f"\n💡 Recommendations:")
for rec in health.recommendations:
print(f" • {rec}")
return health
# Example usage
async def main():
"""Main example demonstrating Python-specific features"""
# Backup a Python project
project_path = "/opt/my_python_project"
backup_result = await backup_python_project(project_path)
# Start monitoring
await monitor_python_app(project_path)
# Compress source code
await compress_with_validation(
f"{project_path}/src",
f"/opt/backups/{backup_result.backup_id}_src.zst"
)
# Check system health
health = await python_health_check()
# AI-powered analysis
if health.overall_status == "healthy":
analysis = await grim.ai_analyze(project_path)
print(f"\n🤖 AI Analysis:")
print(f" Code Quality Score: {analysis.quality_score}/100")
print(f" Backup Priority: {analysis.backup_priority}")
print(f" Optimization Suggestions: {len(analysis.suggestions)}")
if __name__ == "__main__":
asyncio.run(main())
```
### Testing Integration
```python
import pytest
from grim_reaper import GrimReaper
import tempfile
import asyncio
@pytest.fixture
async def grim():
"""Pytest fixture for Grim Reaper"""
with tempfile.TemporaryDirectory() as temp_dir:
config = Config(backup_path=temp_dir, encryption_enabled=False)
yield GrimReaper(config=config)
@pytest.mark.asyncio
async def test_backup_functionality(grim):
"""Test backup functionality"""
with tempfile.TemporaryDirectory() as source_dir:
# Create test files
test_file = Path(source_dir) / "test.py"
test_file.write_text("print('Hello, World!')")
# Perform backup
result = await grim.backup(source_dir)
assert result.success
assert result.files_count == 1
assert result.compression_ratio > 1.0
@pytest.mark.asyncio
async def test_health_check(grim):
"""Test health check functionality"""
health = await grim.health_check()
assert health.status in ['healthy', 'warning', 'critical']
assert health.timestamp is not None
assert isinstance(health.details, dict)
# Performance testing
@pytest.mark.asyncio
@pytest.mark.performance
async def test_backup_performance(grim):
"""Test backup performance"""
import time
with tempfile.TemporaryDirectory() as source_dir:
# Create multiple test files
for i in range(100):
test_file = Path(source_dir) / f"test_{i}.py"
test_file.write_text(f"# Test file {i}\nprint('File {i}')" * 100)
start_time = time.time()
result = await grim.backup(source_dir)
end_time = time.time()
backup_time = end_time - start_time
assert result.success
assert backup_time < 10.0 # Should complete within 10 seconds
assert result.compression_ratio > 2.0 # Should achieve good compression
```
## 🔗 Links & Resources
- **Website**: [grim.so](https://grim.so)
- **GitHub**: [github.com/cyber-boost/grim](https://github.com/cyber-boost/grim)
- **Download**: [get.grim.so](https://get.grim.so)
- **PyPI**: [pypi.org/project/grim-reaper](https://pypi.org/project/grim-reaper/)
- **Documentation**: [grim.so/docs](https://grim.so/docs)
## 📄 License
By using this software you agree to the official license available at https://grim.so/license
---
<div align="center">
<strong>🗡️ GRIM REAPER</strong><br>
<i>"When data death comes knocking, resurrection is just a command away"</i>
</div>
Raw data
{
"_id": null,
"home_page": "https://grim.so",
"name": "grim-reaper",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "grim, backup, monitoring, security, cli, orchestration, system-management, compression, encryption, ai, machine-learning, grim-reaper",
"author": "Bernie Gengel and his beagle Buddy",
"author_email": "rip@grim.so",
"download_url": null,
"platform": "any",
"description": "# Grim Reaper \ud83d\udde1\ufe0f Python Package\n\n[](https://pypi.org/project/grim-reaper/)\n[](https://pypi.org/project/grim-reaper/)\n[](https://grim.so/license)\n\n**When data death comes knocking, Grim ensures resurrection is just a command away.**\n\nEnterprise-grade data protection platform with AI-powered backup decisions, military-grade encryption, multi-algorithm compression, content-based deduplication, real-time monitoring, and automated threat response.\n\n## \ud83d\ude80 Quick Install\n\n```bash\npip install grim-reaper\n```\n\n## \ud83c\udfaf Quick Start\n\n```python\nfrom grim_reaper import GrimReaper\nimport asyncio\n\n# Initialize Grim Reaper\ngrim = GrimReaper()\n\n# Quick backup\nawait grim.backup('/important/data')\n\n# Start monitoring\nawait grim.monitor('/var/log')\n\n# Health check\nhealth = await grim.health_check()\nprint(f\"System Status: {health.status}\")\n```\n\n## \ud83d\udccb Complete Command Reference\n\nAll commands use the unified Grim Reaper command structure:\n\n### \ud83e\udd16 AI & Machine Learning\n\n```bash\n# AI Decision Engine\ngrim ai-decision init # Initialize AI decision engine\ngrim ai-decision analyze # Analyze files for intelligent backup decisions\ngrim ai-decision backup-priority # Determine backup priorities using AI\ngrim ai-decision storage-optimize # Optimize storage allocation with AI\ngrim ai-decision resource-manage # Manage system resources intelligently\ngrim ai-decision validate # Validate AI models and decisions\ngrim ai-decision report # Generate AI analysis report\ngrim ai-decision config # Configure AI parameters\ngrim ai-decision status # Check AI engine status\n\n# AI Integration\ngrim ai init # Initialize AI integration framework\ngrim ai install # Install AI dependencies (TensorFlow/PyTorch)\ngrim ai train # Train AI models on your data\ngrim ai predict # Generate predictions from models\ngrim ai analyze # Analyze data patterns\ngrim ai optimize # Optimize AI performance\ngrim ai monitor # Monitor AI operations\ngrim ai validate # Validate model accuracy\ngrim ai report # Generate integration report\ngrim ai config # Configure AI integration\ngrim ai status # Check integration status\n\n# AI Production Deployment\ngrim ai-deploy deploy # Deploy AI models to production\ngrim ai-deploy test # Run automated deployment tests\ngrim ai-deploy rollback # Rollback to previous version\ngrim ai-deploy monitor # Monitor deployed models\ngrim ai-deploy health # Check deployment health\ngrim ai-deploy backup # Backup current deployment\ngrim ai-deploy restore # Restore from backup\ngrim ai-deploy status # Check deployment status\n\n# AI Training\ngrim ai-train analyze # Analyze training data\ngrim ai-train train # Train base models\ngrim ai-train predict # Generate predictions\ngrim ai-train cluster # Perform clustering analysis\ngrim ai-train extract # Extract features from data\ngrim ai-train validate # Validate model performance\ngrim ai-train report # Generate training report\ngrim ai-train neural # Train neural networks\ngrim ai-train ensemble # Train ensemble models\ngrim ai-train timeseries # Time series analysis\ngrim ai-train regression # Train regression models\ngrim ai-train classify # Train classification models\ngrim ai-train config # Configure training parameters\ngrim ai-train init # Initialize training environment\n\n# AI Velocity Enhancement\ngrim ai-turbo turbo # Activate turbo mode for AI\ngrim ai-turbo optimize # Optimize AI performance\ngrim ai-turbo benchmark # Run performance benchmarks\ngrim ai-turbo validate # Validate optimizations\ngrim ai-turbo deploy # Deploy optimized models\ngrim ai-turbo monitor # Monitor performance gains\ngrim ai-turbo report # Generate performance report\n```\n\n### \ud83d\udcbe Backup & Recovery\n\n```bash\n# Core Backup Operations\ngrim backup create # Create intelligent backup\ngrim backup verify # Verify backup integrity\ngrim backup list # List all backups\n\n# Core Backup Engine\ngrim backup-core create # Create core backup with progress\ngrim backup-core verify # Verify backup checksums\ngrim backup-core restore # Restore from backup\ngrim backup-core status # Check backup system status\ngrim backup-core init # Initialize backup system\n\n# Automatic Backup Daemon\ngrim auto-backup start # Start automatic backup daemon\ngrim auto-backup stop # Stop backup daemon\ngrim auto-backup restart # Restart backup daemon\ngrim auto-backup status # Check daemon status\ngrim auto-backup health # Health check with diagnostics\n\n# Restore Operations\ngrim restore recover # Restore from backup\ngrim restore list # List available restore points\ngrim restore verify # Verify restore integrity\n\n# Deduplication\ngrim dedup dedup # Deduplicate files\ngrim dedup restore # Restore deduplicated files\ngrim dedup cleanup # Clean orphaned chunks\ngrim dedup stats # Show deduplication statistics\ngrim dedup verify # Verify dedup integrity\ngrim dedup benchmark # Run deduplication benchmarks\n```\n\n### \ud83d\udcca System Monitoring & Health\n\n```bash\n# System Monitoring\ngrim monitor start # Start system monitoring\ngrim monitor stop # Stop monitoring\ngrim monitor status # Check monitor status\ngrim monitor show # Show current metrics\ngrim monitor report # Generate monitoring report\n\n# Health Checking\ngrim health check # Complete health check\ngrim health fix # Auto-fix detected issues\ngrim health report # Generate health report\ngrim health monitor # Continuous health monitoring\n\n# Enhanced Health Monitoring\ngrim health-check check # Enhanced health check\ngrim health-check services # Check all services\ngrim health-check disk # Check disk health\ngrim health-check memory # Check memory status\ngrim health-check network # Check network health\ngrim health-check fix # Auto-fix all issues\ngrim health-check report # Detailed health report\n```\n\n### \ud83d\udd12 Security & Compliance\n\n```bash\n# Security Auditing\ngrim audit full # Complete security audit\ngrim audit permissions # Audit file permissions\ngrim audit compliance # Check compliance (CIS/STIG/NIST)\ngrim audit backups # Audit backup integrity\ngrim audit logs # Audit access logs\ngrim audit config # Audit configuration security\ngrim audit report # Generate audit report\n\n# Security Operations\ngrim security scan # Run security scan\ngrim security audit # Deep security audit\ngrim security fix # Auto-fix vulnerabilities\ngrim security report # Generate security report\ngrim security monitor # Start security monitoring\n\n# Security Testing\ngrim security-testing vulnerability # Run vulnerability tests\ngrim security-testing penetration # Run penetration tests\ngrim security-testing compliance # Test compliance standards\ngrim security-testing report # Generate test report\n\n# File Encryption\ngrim encrypt encrypt # Encrypt files\ngrim encrypt decrypt # Decrypt files\ngrim encrypt key-gen # Generate encryption keys\ngrim encrypt verify # Verify encryption\n\n# File Verification\ngrim verify integrity # Verify file integrity\ngrim verify checksum # Verify checksums\ngrim verify signature # Verify digital signatures\ngrim verify backup # Verify backup integrity\n\n# Multi-Language Scanner\ngrim scanner scan # Multi-threaded file system scan\ngrim scanner info # Get file information and summary\ngrim scanner hash # Calculate file hashes (MD5/SHA256)\ngrim scanner py-scan # Python-based security scanning\ngrim scanner security # Security vulnerability scan\ngrim scanner malware # Malware detection scan\ngrim scanner vulnerability # Deep vulnerability scan\ngrim scanner compliance # Compliance verification scan\ngrim scanner report # Generate scan report\n```\n\n### \ud83d\ude80 Performance & Optimization\n\n```bash\n# High-Performance Compression\ngrim compression compress # Compress with Go binary (8 algorithms)\ngrim compression decompress # Decompress files\ngrim compression benchmark # Run compression benchmarks\ngrim compression optimize # Optimize compression\ngrim compression analyze # Analyze compression potential\ngrim compression list # List compressed files\ngrim compression cleanup # Clean temporary files\n\n# System Optimization\ngrim blacksmith optimize # System-wide optimization\ngrim blacksmith maintain # Run maintenance tasks\ngrim blacksmith forge # Create new tools\ngrim blacksmith list-tools # List available tools\ngrim blacksmith run-tool # Run specific tool\ngrim blacksmith schedule # Schedule maintenance\ngrim blacksmith list-scheduled # List scheduled tasks\ngrim blacksmith backup-tools # Backup custom tools\ngrim blacksmith restore-tools # Restore tools\ngrim blacksmith update-tools # Update all tools\ngrim blacksmith stats # Show forge statistics\ngrim blacksmith config # Configure forge\n\n# Performance Testing\ngrim performance-test cpu # Test CPU performance\ngrim performance-test memory # Test memory performance\ngrim performance-test disk # Test disk I/O\ngrim performance-test network # Test network throughput\ngrim performance-test full # Run all performance tests\ngrim performance-test report # Generate performance report\n\n# System Cleanup\ngrim cleanup all # Clean everything safely\ngrim cleanup backups # Clean old backups\ngrim cleanup temp # Clean temporary files\ngrim cleanup logs # Clean old logs\ngrim cleanup database # Clean database\ngrim cleanup duplicates # Remove duplicate files\ngrim cleanup report # Preview cleanup actions\n```\n\n### \ud83c\udf10 Web Services & APIs\n\n```bash\n# Web Services\ngrim web start # Start FastAPI web server\ngrim web stop # Stop all web services\ngrim web restart # Restart web server\ngrim web gateway # Start API gateway with load balancing\ngrim web api # Start API application\ngrim web status # Show web services status\n\n# Monitoring Dashboard\ngrim dashboard start # Start web dashboard\ngrim dashboard stop # Stop dashboard\ngrim dashboard restart # Restart dashboard\ngrim dashboard status # Check dashboard status\ngrim dashboard config # Configure dashboard\ngrim dashboard init # Initialize dashboard\ngrim dashboard setup # Run setup wizard\ngrim dashboard logs # View dashboard logs\n\n# API Gateway\ngrim gateway start # Start API gateway\ngrim gateway stop # Stop gateway\ngrim gateway status # Gateway status\ngrim gateway config # Configure gateway\n```\n\n### \u2601\ufe0f Cloud & Distributed Systems\n\n```bash\n# Cloud Platform Integration\ngrim cloud init # Initialize cloud platform\ngrim cloud aws # Deploy to AWS\ngrim cloud azure # Deploy to Azure\ngrim cloud gcp # Deploy to Google Cloud\ngrim cloud serverless # Deploy serverless functions\ngrim cloud comprehensive # Full cloud deployment\n\n# Distributed Architecture\ngrim distributed init # Initialize distributed system\ngrim distributed deploy # Deploy microservices\ngrim distributed scale # Scale services\ngrim distributed balance # Configure load balancing\ngrim distributed monitor # Monitor distributed system\n\n# Load Balancing\ngrim load-balancer start # Start load balancer\ngrim load-balancer stop # Stop load balancer\ngrim load-balancer status # Check balancer status\ngrim load-balancer add-server # Add backend server\ngrim load-balancer remove-server # Remove backend server\n\n# File Transfer (Multi-Protocol)\ngrim transfer upload # Upload files to destination\ngrim transfer download # Download files from source\ngrim transfer resume # Resume interrupted transfer\ngrim transfer verify # Verify transfer integrity\n```\n\n### \ud83e\uddea Testing & Quality Assurance\n\n```bash\n# Testing Framework\ngrim testing run # Run all tests\ngrim testing benchmark # Run benchmarks\ngrim testing ci # CI/CD test suite\ngrim testing report # Generate test report\n\n# Quality Assurance\ngrim qa code-review # Automated code review\ngrim qa static-analysis # Static code analysis\ngrim qa security-scan # Security scanning\ngrim qa performance-test # Performance testing\ngrim qa integration-test # Integration testing\ngrim qa report # Generate QA report\n\n# User Acceptance Testing\ngrim user-acceptance run # Run acceptance tests\ngrim user-acceptance generate # Generate test scenarios\ngrim user-acceptance validate # Validate user workflows\ngrim user-acceptance report # Generate UAT report\n```\n\n### \ud83d\udd27 System Maintenance & Operations\n\n```bash\n# Central Orchestrator (Scythe)\ngrim scythe harvest # Orchestrate all operations\ngrim scythe analyze # Analyze system state\ngrim scythe report # Generate master report\ngrim scythe monitor # Monitor all operations\ngrim scythe status # Show orchestrator status\ngrim scythe backup # Orchestrated backup operations\n\n# Logging System\ngrim log init # Initialize logging system\ngrim log setup # Setup logger configuration\ngrim log event # Log structured event\ngrim log metric # Log performance metric\ngrim log rotate # Rotate log files\ngrim log cleanup # Clean up old log files\ngrim log status # Show logging system status\ngrim log tail # Tail log file\n\n# Configuration Management\ngrim config load # Load configuration\ngrim config save # Save configuration\ngrim config get # Get configuration value\ngrim config set # Set configuration value\ngrim config validate # Validate configuration\n```\n\n## \ud83d\udc0d Python-Specific Integration\n\n### FastAPI Integration\n\n```python\nfrom fastapi import FastAPI, BackgroundTasks\nfrom grim_reaper import GrimReaper\nimport asyncio\n\napp = FastAPI()\ngrim = GrimReaper()\n\n@app.post(\"/backup\")\nasync def create_backup(path: str, background_tasks: BackgroundTasks):\n \"\"\"Create backup asynchronously\"\"\"\n background_tasks.add_task(grim.backup, path)\n return {\"status\": \"backup_started\", \"path\": path}\n\n@app.get(\"/health\")\nasync def health_check():\n \"\"\"System health endpoint\"\"\"\n health = await grim.health_check()\n return {\n \"status\": health.status,\n \"details\": health.details,\n \"timestamp\": health.timestamp\n }\n\n@app.get(\"/monitor/{path:path}\")\nasync def start_monitoring(path: str):\n \"\"\"Start monitoring a path\"\"\"\n await grim.monitor(path)\n return {\"status\": \"monitoring_started\", \"path\": path}\n```\n\n### Django Integration\n\n```python\n# settings.py\nINSTALLED_APPS = [\n 'grim_reaper.django',\n # ... other apps\n]\n\nGRIM_REAPER = {\n 'BACKUP_PATH': '/opt/backups',\n 'COMPRESSION': 'zstd',\n 'ENCRYPTION': True,\n 'AI_ENABLED': True,\n}\n\n# In your Django views\nfrom django.http import JsonResponse\nfrom grim_reaper import GrimReaper\nfrom django.conf import settings\nimport asyncio\n\nasync def backup_view(request):\n grim = GrimReaper(config=settings.GRIM_REAPER)\n \n # Backup Django project with specific exclusions\n await grim.backup(settings.BASE_DIR, exclude=[\n 'media/cache',\n '*.pyc',\n '__pycache__',\n 'node_modules',\n '.git'\n ])\n \n return JsonResponse({'status': 'backup_completed'})\n\n# Management command\n# management/commands/grim_backup.py\nfrom django.core.management.base import BaseCommand\nfrom grim_reaper import GrimReaper\nimport asyncio\n\nclass Command(BaseCommand):\n help = 'Run Grim Reaper backup'\n \n def handle(self, *args, **options):\n async def backup():\n grim = GrimReaper()\n await grim.backup('/opt/django_project')\n \n asyncio.run(backup())\n```\n\n### Flask Integration\n\n```python\nfrom flask import Flask, jsonify, request\nfrom grim_reaper import GrimReaper\nimport asyncio\nfrom concurrent.futures import ThreadPoolExecutor\n\napp = Flask(__name__)\ngrim = GrimReaper()\nexecutor = ThreadPoolExecutor()\n\ndef run_async(coro):\n \"\"\"Helper to run async functions in Flask\"\"\"\n loop = asyncio.new_event_loop()\n try:\n return loop.run_until_complete(coro)\n finally:\n loop.close()\n\n@app.route('/backup', methods=['POST'])\ndef backup():\n data = request.get_json()\n path = data.get('path')\n \n # Run backup in thread pool\n future = executor.submit(run_async, grim.backup(path))\n \n return jsonify({'status': 'backup_started', 'path': path})\n\n@app.route('/monitor/<path:path>')\ndef monitor(path):\n executor.submit(run_async, grim.monitor(path))\n return jsonify({'status': 'monitoring_started', 'path': path})\n\n@app.route('/health')\ndef health():\n health_status = run_async(grim.health_check())\n return jsonify(health_status.to_dict())\n```\n\n### Celery Integration\n\n```python\nfrom celery import Celery\nfrom grim_reaper import GrimReaper\nimport asyncio\n\napp = Celery('grim_tasks')\ngrim = GrimReaper()\n\n@app.task\ndef backup_task(path, options=None):\n \"\"\"Celery task for backups\"\"\"\n async def backup():\n return await grim.backup(path, **(options or {}))\n \n loop = asyncio.new_event_loop()\n asyncio.set_event_loop(loop)\n try:\n return loop.run_until_complete(backup())\n finally:\n loop.close()\n\n@app.task\ndef monitor_task(path):\n \"\"\"Celery task for monitoring\"\"\"\n async def monitor():\n return await grim.monitor(path)\n \n loop = asyncio.new_event_loop()\n asyncio.set_event_loop(loop)\n try:\n return loop.run_until_complete(monitor())\n finally:\n loop.close()\n\n@app.task\ndef health_check_task():\n \"\"\"Periodic health check task\"\"\"\n async def health():\n return await grim.health_check()\n \n loop = asyncio.new_event_loop()\n asyncio.set_event_loop(loop)\n try:\n result = loop.run_until_complete(health())\n return result.to_dict()\n finally:\n loop.close()\n\n# Schedule periodic tasks\nfrom celery.schedules import crontab\n\napp.conf.beat_schedule = {\n 'health-check': {\n 'task': 'grim_tasks.health_check_task',\n 'schedule': crontab(minute='*/15'), # Every 15 minutes\n },\n 'daily-backup': {\n 'task': 'grim_tasks.backup_task',\n 'schedule': crontab(hour=2, minute=0), # Daily at 2 AM\n 'args': ('/important/data',)\n },\n}\n```\n\n### Pandas/Data Science Integration\n\n```python\nimport pandas as pd\nfrom grim_reaper import GrimReaper\nimport asyncio\n\ngrim = GrimReaper()\n\n# Backup data science projects with intelligent compression\nasync def backup_data_project(project_path: str):\n \"\"\"Backup data science project with optimizations\"\"\"\n \n # Configure for data science files\n config = {\n 'compression': 'zstd', # Best for mixed data\n 'exclude_patterns': [\n '*.pyc', '__pycache__', '.ipynb_checkpoints',\n 'wandb/', 'mlruns/', '.git/'\n ],\n 'include_large_files': True, # Include datasets\n 'ai_analysis': True, # Use AI to determine importance\n }\n \n result = await grim.backup(project_path, **config)\n \n # Create backup metadata DataFrame\n backup_info = pd.DataFrame([{\n 'backup_id': result.backup_id,\n 'timestamp': result.timestamp,\n 'size_original': result.size_original,\n 'size_compressed': result.size_compressed,\n 'compression_ratio': result.compression_ratio,\n 'files_backed_up': result.files_count,\n 'ai_score': result.ai_importance_score\n }])\n \n return backup_info\n\n# Monitor model training runs\nasync def monitor_training(experiment_path: str):\n \"\"\"Monitor ML training with specialized metrics\"\"\"\n \n monitor_config = {\n 'track_gpu_usage': True,\n 'track_memory': True,\n 'track_file_changes': True,\n 'alert_on_errors': True,\n 'save_metrics': True\n }\n \n await grim.monitor(experiment_path, **monitor_config)\n\n# Example usage\nasync def main():\n # Backup Jupyter notebooks and datasets\n project_backup = await backup_data_project('/opt/ml_project')\n print(f\"Backup completed: {project_backup['compression_ratio'].iloc[0]:.2f}x compression\")\n \n # Start monitoring training\n await monitor_training('/opt/ml_project/experiments')\n\nif __name__ == \"__main__\":\n asyncio.run(main())\n```\n\n### Jupyter Notebook Integration\n\n```python\n# In Jupyter Notebook cells\n\nfrom IPython.display import display, HTML\nfrom grim_reaper import GrimReaper\nimport asyncio\n\n# Initialize in notebook\ngrim = GrimReaper()\n\n# Backup current notebook automatically\nasync def auto_backup_notebook():\n import os\n notebook_path = os.getcwd()\n \n result = await grim.backup(notebook_path, \n include=['*.ipynb', '*.py', '*.csv', '*.pkl'],\n compression='lz4') # Fast compression for frequent saves\n \n display(HTML(f\"\"\"\n <div style=\"background-color: #d4edda; padding: 10px; border-radius: 5px;\">\n <strong>\u2705 Notebook Backed Up</strong><br>\n ID: {result.backup_id}<br>\n Size: {result.size_compressed} (compressed)<br>\n Ratio: {result.compression_ratio:.2f}x\n </div>\n \"\"\"))\n\n# Create magic command for easy backup\nfrom IPython.core.magic import register_line_magic\n\n@register_line_magic\ndef grim_backup(line):\n \"\"\"Magic command: %grim_backup [path]\"\"\"\n path = line.strip() or '.'\n asyncio.create_task(grim.backup(path))\n print(f\"\ud83d\udde1\ufe0f Backup started for: {path}\")\n\n# Monitor notebook execution\nasync def monitor_notebook():\n \"\"\"Monitor notebook for changes and errors\"\"\"\n import os\n notebook_dir = os.getcwd()\n \n await grim.monitor(notebook_dir, \n watch_patterns=['*.ipynb'],\n auto_backup=True,\n backup_interval=300) # Backup every 5 minutes\n\n# Health check widget\nfrom ipywidgets import Button, Output\nimport asyncio\n\nhealth_output = Output()\n\nasync def check_health(button):\n with health_output:\n health_output.clear_output()\n health = await grim.health_check()\n \n status_color = \"green\" if health.status == \"healthy\" else \"red\"\n print(f\"\ud83d\udde1\ufe0f System Status: \\033[{status_color}m{health.status.upper()}\\033[0m\")\n print(f\"\ud83d\udcca Memory Usage: {health.memory_usage}%\")\n print(f\"\ud83d\udcbe Disk Usage: {health.disk_usage}%\")\n print(f\"\ud83d\udd04 Last Backup: {health.last_backup}\")\n\nhealth_button = Button(description=\"Check Health\")\nhealth_button.on_click(check_health)\n\ndisplay(health_button, health_output)\n```\n\n### Python Code Examples\n\n```python\nimport asyncio\nfrom grim_reaper import GrimReaper, Config\nfrom pathlib import Path\n\n# Initialize with custom configuration\nconfig = Config(\n backup_path='/opt/backups',\n compression_algorithm='zstd',\n encryption_enabled=True,\n ai_analysis=True,\n max_concurrent_operations=4\n)\n\ngrim = GrimReaper(config=config)\n\n# Advanced backup with Python-specific options\nasync def backup_python_project(project_path: str):\n \"\"\"Backup Python project with intelligent exclusions\"\"\"\n \n result = await grim.backup(\n project_path,\n exclude_patterns=[\n '__pycache__/', '*.pyc', '*.pyo', '*.pyd',\n '.pytest_cache/', '.coverage', '.tox/',\n 'venv/', 'env/', '.env/', 'node_modules/',\n '.git/', '.svn/', '.hg/',\n '*.log', 'logs/', 'tmp/', 'temp/'\n ],\n include_requirements=True, # Include requirements.txt analysis\n analyze_dependencies=True, # Analyze Python dependencies\n create_environment_snapshot=True, # Snapshot virtual environment\n compression='zstd' # High compression for source code\n )\n \n print(f\"\u2705 Backup completed:\")\n print(f\" ID: {result.backup_id}\")\n print(f\" Original size: {result.original_size_mb:.1f} MB\")\n print(f\" Compressed size: {result.compressed_size_mb:.1f} MB\")\n print(f\" Compression ratio: {result.compression_ratio:.2f}x\")\n print(f\" Files backed up: {result.files_count}\")\n \n return result\n\n# Monitor Python application with specialized tracking\nasync def monitor_python_app(app_path: str):\n \"\"\"Monitor Python application with specialized metrics\"\"\"\n \n monitor_config = {\n 'track_python_processes': True,\n 'track_memory_leaks': True,\n 'track_import_errors': True,\n 'track_exception_patterns': True,\n 'alert_on_crashes': True,\n 'log_performance_metrics': True\n }\n \n await grim.monitor(app_path, **monitor_config)\n print(f\"\ud83d\udd0d Monitoring started for Python app: {app_path}\")\n\n# Compress with Python syntax validation\nasync def compress_with_validation(source_path: str, target_path: str):\n \"\"\"Compress Python files with syntax validation\"\"\"\n \n result = await grim.compress(\n source_path,\n target_path,\n algorithm='zstd',\n validate_python_syntax=True, # Check syntax before compression\n preserve_line_numbers=True, # Maintain debugging info\n strip_comments=False, # Keep documentation\n optimize_bytecode=True # Optimize .pyc files\n )\n \n if result.syntax_errors:\n print(f\"\u26a0\ufe0f Syntax errors found in {len(result.syntax_errors)} files:\")\n for error in result.syntax_errors:\n print(f\" {error.file}: {error.message}\")\n else:\n print(f\"\u2705 All Python files validated and compressed successfully\")\n \n return result\n\n# Health check with Python-specific diagnostics\nasync def python_health_check():\n \"\"\"Comprehensive health check for Python environment\"\"\"\n \n health = await grim.health_check(\n check_python_version=True,\n check_pip_packages=True,\n check_virtual_env=True,\n check_import_paths=True,\n check_memory_usage=True,\n check_disk_space=True,\n validate_requirements=True\n )\n \n print(f\"\ud83d\udc0d Python Environment Health Check:\")\n print(f\" Overall Status: {health.overall_status}\")\n print(f\" Python Version: {health.python_version}\")\n print(f\" Virtual Environment: {health.venv_status}\")\n print(f\" Package Issues: {len(health.package_issues)}\")\n print(f\" Memory Usage: {health.memory_usage}%\")\n print(f\" Disk Space: {health.disk_free_gb:.1f} GB free\")\n \n if health.recommendations:\n print(f\"\\n\ud83d\udca1 Recommendations:\")\n for rec in health.recommendations:\n print(f\" \u2022 {rec}\")\n \n return health\n\n# Example usage\nasync def main():\n \"\"\"Main example demonstrating Python-specific features\"\"\"\n \n # Backup a Python project\n project_path = \"/opt/my_python_project\"\n backup_result = await backup_python_project(project_path)\n \n # Start monitoring\n await monitor_python_app(project_path)\n \n # Compress source code\n await compress_with_validation(\n f\"{project_path}/src\",\n f\"/opt/backups/{backup_result.backup_id}_src.zst\"\n )\n \n # Check system health\n health = await python_health_check()\n \n # AI-powered analysis\n if health.overall_status == \"healthy\":\n analysis = await grim.ai_analyze(project_path)\n print(f\"\\n\ud83e\udd16 AI Analysis:\")\n print(f\" Code Quality Score: {analysis.quality_score}/100\")\n print(f\" Backup Priority: {analysis.backup_priority}\")\n print(f\" Optimization Suggestions: {len(analysis.suggestions)}\")\n\nif __name__ == \"__main__\":\n asyncio.run(main())\n```\n\n### Testing Integration\n\n```python\nimport pytest\nfrom grim_reaper import GrimReaper\nimport tempfile\nimport asyncio\n\n@pytest.fixture\nasync def grim():\n \"\"\"Pytest fixture for Grim Reaper\"\"\"\n with tempfile.TemporaryDirectory() as temp_dir:\n config = Config(backup_path=temp_dir, encryption_enabled=False)\n yield GrimReaper(config=config)\n\n@pytest.mark.asyncio\nasync def test_backup_functionality(grim):\n \"\"\"Test backup functionality\"\"\"\n with tempfile.TemporaryDirectory() as source_dir:\n # Create test files\n test_file = Path(source_dir) / \"test.py\"\n test_file.write_text(\"print('Hello, World!')\")\n \n # Perform backup\n result = await grim.backup(source_dir)\n \n assert result.success\n assert result.files_count == 1\n assert result.compression_ratio > 1.0\n\n@pytest.mark.asyncio\nasync def test_health_check(grim):\n \"\"\"Test health check functionality\"\"\"\n health = await grim.health_check()\n \n assert health.status in ['healthy', 'warning', 'critical']\n assert health.timestamp is not None\n assert isinstance(health.details, dict)\n\n# Performance testing\n@pytest.mark.asyncio\n@pytest.mark.performance\nasync def test_backup_performance(grim):\n \"\"\"Test backup performance\"\"\"\n import time\n \n with tempfile.TemporaryDirectory() as source_dir:\n # Create multiple test files\n for i in range(100):\n test_file = Path(source_dir) / f\"test_{i}.py\"\n test_file.write_text(f\"# Test file {i}\\nprint('File {i}')\" * 100)\n \n start_time = time.time()\n result = await grim.backup(source_dir)\n end_time = time.time()\n \n backup_time = end_time - start_time\n \n assert result.success\n assert backup_time < 10.0 # Should complete within 10 seconds\n assert result.compression_ratio > 2.0 # Should achieve good compression\n```\n\n## \ud83d\udd17 Links & Resources\n\n- **Website**: [grim.so](https://grim.so)\n- **GitHub**: [github.com/cyber-boost/grim](https://github.com/cyber-boost/grim)\n- **Download**: [get.grim.so](https://get.grim.so)\n- **PyPI**: [pypi.org/project/grim-reaper](https://pypi.org/project/grim-reaper/)\n- **Documentation**: [grim.so/docs](https://grim.so/docs)\n\n## \ud83d\udcc4 License\n\nBy using this software you agree to the official license available at https://grim.so/license\n\n---\n\n<div align=\"center\">\n<strong>\ud83d\udde1\ufe0f GRIM REAPER</strong><br>\n<i>\"When data death comes knocking, resurrection is just a command away\"</i>\n</div>\n",
"bugtrack_url": null,
"license": "By using this software you agree to the official license available at https://grim.so/license",
"summary": "Grim: Unified Data Protection Ecosystem. When data death comes knocking, Grim ensures resurrection is just a command away. License management, auto backups, highly compressed backups, multi-algorithm compression, content-based deduplication, smart storage tiering save up to 60% space, military-grade encryption, license protection, security surveillance, and automated threat response.",
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