mirror of
https://github.com/FuzzingLabs/fuzzforge_ai.git
synced 2026-02-12 21:52:47 +00:00
* feat: Complete migration from Prefect to Temporal BREAKING CHANGE: Replaces Prefect workflow orchestration with Temporal ## Major Changes - Replace Prefect with Temporal for workflow orchestration - Implement vertical worker architecture (rust, android) - Replace Docker registry with MinIO for unified storage - Refactor activities to be co-located with workflows - Update all API endpoints for Temporal compatibility ## Infrastructure - New: docker-compose.temporal.yaml (Temporal + MinIO + workers) - New: workers/ directory with rust and android vertical workers - New: backend/src/temporal/ (manager, discovery) - New: backend/src/storage/ (S3-cached storage with MinIO) - New: backend/toolbox/common/ (shared storage activities) - Deleted: docker-compose.yaml (old Prefect setup) - Deleted: backend/src/core/prefect_manager.py - Deleted: backend/src/services/prefect_stats_monitor.py - Deleted: Docker registry and insecure-registries requirement ## Workflows - Migrated: security_assessment workflow to Temporal - New: rust_test workflow (example/test workflow) - Deleted: secret_detection_scan (Prefect-based, to be reimplemented) - Activities now co-located with workflows for independent testing ## API Changes - Updated: backend/src/api/workflows.py (Temporal submission) - Updated: backend/src/api/runs.py (Temporal status/results) - Updated: backend/src/main.py (727 lines, TemporalManager integration) - Updated: All 16 MCP tools to use TemporalManager ## Testing - ✅ All services healthy (Temporal, PostgreSQL, MinIO, workers, backend) - ✅ All API endpoints functional - ✅ End-to-end workflow test passed (72 findings from vulnerable_app) - ✅ MinIO storage integration working (target upload/download, results) - ✅ Worker activity discovery working (6 activities registered) - ✅ Tarball extraction working - ✅ SARIF report generation working ## Documentation - ARCHITECTURE.md: Complete Temporal architecture documentation - QUICKSTART_TEMPORAL.md: Getting started guide - MIGRATION_DECISION.md: Why we chose Temporal over Prefect - IMPLEMENTATION_STATUS.md: Migration progress tracking - workers/README.md: Worker development guide ## Dependencies - Added: temporalio>=1.6.0 - Added: boto3>=1.34.0 (MinIO S3 client) - Removed: prefect>=3.4.18 * feat: Add Python fuzzing vertical with Atheris integration This commit implements a complete Python fuzzing workflow using Atheris: ## Python Worker (workers/python/) - Dockerfile with Python 3.11, Atheris, and build tools - Generic worker.py for dynamic workflow discovery - requirements.txt with temporalio, boto3, atheris dependencies - Added to docker-compose.temporal.yaml with dedicated cache volume ## AtherisFuzzer Module (backend/toolbox/modules/fuzzer/) - Reusable module extending BaseModule - Auto-discovers fuzz targets (fuzz_*.py, *_fuzz.py, fuzz_target.py) - Recursive search to find targets in nested directories - Dynamically loads TestOneInput() function - Configurable max_iterations and timeout - Real-time stats callback support for live monitoring - Returns findings as ModuleFinding objects ## Atheris Fuzzing Workflow (backend/toolbox/workflows/atheris_fuzzing/) - Temporal workflow for orchestrating fuzzing - Downloads user code from MinIO - Executes AtherisFuzzer module - Uploads results to MinIO - Cleans up cache after execution - metadata.yaml with vertical: python for routing ## Test Project (test_projects/python_fuzz_waterfall/) - Demonstrates stateful waterfall vulnerability - main.py with check_secret() that leaks progress - fuzz_target.py with Atheris TestOneInput() harness - Complete README with usage instructions ## Backend Fixes - Fixed parameter merging in REST API endpoints (workflows.py) - Changed workflow parameter passing from positional args to kwargs (manager.py) - Default parameters now properly merged with user parameters ## Testing ✅ Worker discovered AtherisFuzzingWorkflow ✅ Workflow executed end-to-end successfully ✅ Fuzz target auto-discovered in nested directories ✅ Atheris ran 100,000 iterations ✅ Results uploaded and cache cleaned * chore: Complete Temporal migration with updated CLI/SDK/docs This commit includes all remaining Temporal migration changes: ## CLI Updates (cli/) - Updated workflow execution commands for Temporal - Enhanced error handling and exceptions - Updated dependencies in uv.lock ## SDK Updates (sdk/) - Client methods updated for Temporal workflows - Updated models for new workflow execution - Updated dependencies in uv.lock ## Documentation Updates (docs/) - Architecture documentation for Temporal - Workflow concept documentation - Resource management documentation (new) - Debugging guide (new) - Updated tutorials and how-to guides - Troubleshooting updates ## README Updates - Main README with Temporal instructions - Backend README - CLI README - SDK README ## Other - Updated IMPLEMENTATION_STATUS.md - Removed old vulnerable_app.tar.gz These changes complete the Temporal migration and ensure the CLI/SDK work correctly with the new backend. * fix: Use positional args instead of kwargs for Temporal workflows The Temporal Python SDK's start_workflow() method doesn't accept a 'kwargs' parameter. Workflows must receive parameters as positional arguments via the 'args' parameter. Changed from: args=workflow_args # Positional arguments This fixes the error: TypeError: Client.start_workflow() got an unexpected keyword argument 'kwargs' Workflows now correctly receive parameters in order: - security_assessment: [target_id, scanner_config, analyzer_config, reporter_config] - atheris_fuzzing: [target_id, target_file, max_iterations, timeout_seconds] - rust_test: [target_id, test_message] * fix: Filter metadata-only parameters from workflow arguments SecurityAssessmentWorkflow was receiving 7 arguments instead of 2-5. The issue was that target_path and volume_mode from default_parameters were being passed to the workflow, when they should only be used by the system for configuration. Now filters out metadata-only parameters (target_path, volume_mode) before passing arguments to workflow execution. * refactor: Remove Prefect leftovers and volume mounting legacy Complete cleanup of Prefect migration artifacts: Backend: - Delete registry.py and workflow_discovery.py (Prefect-specific files) - Remove Docker validation from setup.py (no longer needed) - Remove ResourceLimits and VolumeMount models - Remove target_path and volume_mode from WorkflowSubmission - Remove supported_volume_modes from API and discovery - Clean up metadata.yaml files (remove volume/path fields) - Simplify parameter filtering in manager.py SDK: - Remove volume_mode parameter from client methods - Remove ResourceLimits and VolumeMount models - Remove Prefect error patterns from docker_logs.py - Clean up WorkflowSubmission and WorkflowMetadata models CLI: - Remove Volume Modes display from workflow info All removed features are Prefect-specific or Docker volume mounting artifacts. Temporal workflows use MinIO storage exclusively. * feat: Add comprehensive test suite and benchmark infrastructure - Add 68 unit tests for fuzzer, scanner, and analyzer modules - Implement pytest-based test infrastructure with fixtures - Add 6 performance benchmarks with category-specific thresholds - Configure GitHub Actions for automated testing and benchmarking - Add test and benchmark documentation Test coverage: - AtherisFuzzer: 8 tests - CargoFuzzer: 14 tests - FileScanner: 22 tests - SecurityAnalyzer: 24 tests All tests passing (68/68) All benchmarks passing (6/6) * fix: Resolve all ruff linting violations across codebase Fixed 27 ruff violations in 12 files: - Removed unused imports (Depends, Dict, Any, Optional, etc.) - Fixed undefined workflow_info variable in workflows.py - Removed dead code with undefined variables in atheris_fuzzer.py - Changed f-string to regular string where no placeholders used All files now pass ruff checks for CI/CD compliance. * fix: Configure CI for unit tests only - Renamed docker-compose.temporal.yaml → docker-compose.yml for CI compatibility - Commented out integration-tests job (no integration tests yet) - Updated test-summary to only depend on lint and unit-tests CI will now run successfully with 68 unit tests. Integration tests can be added later. * feat: Add CI/CD integration with ephemeral deployment model Implements comprehensive CI/CD support for FuzzForge with on-demand worker management: **Worker Management (v0.7.0)** - Add WorkerManager for automatic worker lifecycle control - Auto-start workers from stopped state when workflows execute - Auto-stop workers after workflow completion - Health checks and startup timeout handling (90s default) **CI/CD Features** - `--fail-on` flag: Fail builds based on SARIF severity levels (error/warning/note/info) - `--export-sarif` flag: Export findings in SARIF 2.1.0 format - `--auto-start`/`--auto-stop` flags: Control worker lifecycle - Exit code propagation: Returns 1 on blocking findings, 0 on success **Exit Code Fix** - Add `except typer.Exit: raise` handlers at 3 critical locations - Move worker cleanup to finally block for guaranteed execution - Exit codes now propagate correctly even when build fails **CI Scripts & Examples** - ci-start.sh: Start FuzzForge services with health checks - ci-stop.sh: Clean shutdown with volume preservation option - GitHub Actions workflow example (security-scan.yml) - GitLab CI pipeline example (.gitlab-ci.example.yml) - docker-compose.ci.yml: CI-optimized compose file with profiles **OSS-Fuzz Integration** - New ossfuzz_campaign workflow for running OSS-Fuzz projects - OSS-Fuzz worker with Docker-in-Docker support - Configurable campaign duration and project selection **Documentation** - Comprehensive CI/CD integration guide (docs/how-to/cicd-integration.md) - Updated architecture docs with worker lifecycle details - Updated workspace isolation documentation - CLI README with worker management examples **SDK Enhancements** - Add get_workflow_worker_info() endpoint - Worker vertical metadata in workflow responses **Testing** - All workflows tested: security_assessment, atheris_fuzzing, secret_detection, cargo_fuzzing - All monitoring commands tested: stats, crashes, status, finding - Full CI pipeline simulation verified - Exit codes verified for success/failure scenarios Ephemeral CI/CD model: ~3-4GB RAM, ~60-90s startup, runs entirely in CI containers. * fix: Resolve ruff linting violations in CI/CD code - Remove unused variables (run_id, defaults, result) - Remove unused imports - Fix f-string without placeholders All CI/CD integration files now pass ruff checks.
313 lines
13 KiB
Python
313 lines
13 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) 2025 FuzzingLabs
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#
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# Licensed under the Business Source License 1.1 (BSL). See the LICENSE file
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# at the root of this repository for details.
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#
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# After the Change Date (four years from publication), this version of the
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# Licensed Work will be made available under the Apache License, Version 2.0.
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# See the LICENSE-APACHE file or http://www.apache.org/licenses/LICENSE-2.0
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#
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# Additional attribution and requirements are provided in the NOTICE file.
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"""
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FuzzForge Setup Script - One-command setup for development
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This script automates the entire FuzzForge development setup process,
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from checking prerequisites to running your first security scan.
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"""
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import os
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import sys
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import subprocess
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import platform
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import time
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from pathlib import Path
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from typing import List, Tuple
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class Colors:
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"""ANSI color codes for terminal output"""
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GREEN = '\033[92m'
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YELLOW = '\033[93m'
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RED = '\033[91m'
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BLUE = '\033[94m'
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CYAN = '\033[96m'
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WHITE = '\033[97m'
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BOLD = '\033[1m'
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END = '\033[0m'
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class FuzzForgeSetup:
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"""Automated FuzzForge development environment setup"""
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def __init__(self):
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self.system = platform.system().lower()
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self.project_root = Path(__file__).parent
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self.errors: List[str] = []
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self.warnings: List[str] = []
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def print_header(self):
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"""Print welcome header"""
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print(f"""{Colors.CYAN}{Colors.BOLD}
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╔══════════════════════════════════════════╗
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║ FuzzForge Setup Script ║
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║ Automated Development Setup ║
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╚══════════════════════════════════════════╝
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{Colors.END}""")
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print(f"{Colors.WHITE}Welcome to FuzzForge! This script will set up your development environment.{Colors.END}\n")
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def run_command(self, command: str, description: str, critical: bool = True) -> Tuple[bool, str]:
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"""Run a shell command and return success status and output"""
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print(f"{Colors.YELLOW}🔄 {description}...{Colors.END}")
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try:
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result = subprocess.run(
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command.split(),
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capture_output=True,
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text=True,
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timeout=120 # 2 minute timeout
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)
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if result.returncode == 0:
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print(f"{Colors.GREEN}✅ {description} completed successfully{Colors.END}")
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return True, result.stdout
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else:
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error_msg = f"{description} failed: {result.stderr.strip()}"
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if critical:
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self.errors.append(error_msg)
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print(f"{Colors.RED}❌ {error_msg}{Colors.END}")
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else:
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self.warnings.append(error_msg)
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print(f"{Colors.YELLOW}⚠️ {error_msg}{Colors.END}")
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return False, result.stderr
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except subprocess.TimeoutExpired:
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error_msg = f"{description} timed out"
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if critical:
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self.errors.append(error_msg)
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else:
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self.warnings.append(error_msg)
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print(f"{Colors.RED}⏰ {error_msg}{Colors.END}")
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return False, "Timeout"
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except Exception as e:
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error_msg = f"{description} failed with exception: {e}"
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if critical:
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self.errors.append(error_msg)
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else:
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self.warnings.append(error_msg)
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print(f"{Colors.RED}💥 {error_msg}{Colors.END}")
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return False, str(e)
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def check_prerequisites(self) -> bool:
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"""Check if required tools are installed"""
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print(f"{Colors.BOLD}📋 Step 1: Checking Prerequisites{Colors.END}\n")
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all_good = True
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# Check Python version
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python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
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if sys.version_info >= (3, 11):
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print(f"{Colors.GREEN}✅ Python {python_version} (required: 3.11+){Colors.END}")
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else:
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print(f"{Colors.RED}❌ Python {python_version} (required: 3.11+){Colors.END}")
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self.errors.append(f"Python version {python_version} is too old. Please install Python 3.11+")
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all_good = False
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# Check Docker daemon is running
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docker_success, docker_output = self.run_command("docker ps", "Checking Docker", critical=False)
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if not docker_success:
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self.errors.append("Docker daemon is not running. Please start Docker Desktop")
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all_good = False
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# Check Docker Compose with actual compose file validation
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if docker_success:
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compose_success, _ = self.run_command("docker compose config --quiet", "Checking Docker Compose", critical=False)
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if not compose_success:
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self.errors.append("Docker Compose validation failed. Please ensure docker-compose.yaml is valid and Docker is running")
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all_good = False
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else:
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print(f"{Colors.RED}❌ Checking Docker Compose failed: Docker daemon not running{Colors.END}")
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self.errors.append("Docker Compose cannot be validated - Docker daemon not running")
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all_good = False
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# Check UV
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uv_success, _ = self.run_command("uv --version", "Checking UV package manager", critical=False)
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if not uv_success:
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print(f"{Colors.YELLOW}📦 UV not found, installing UV...{Colors.END}")
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if self.system == "darwin": # macOS
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subprocess.run(["curl", "-LsSf", "https://astral.sh/uv/install.sh", "|", "sh"], shell=True)
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else:
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subprocess.run(["pip", "install", "uv"])
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# Recheck UV
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uv_success, _ = self.run_command("uv --version", "Re-checking UV installation", critical=False)
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if not uv_success:
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self.warnings.append("UV installation failed. You can install it manually later")
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return all_good
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def setup_docker_environment(self) -> bool:
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"""Set up Docker environment"""
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print(f"\n{Colors.BOLD}🐳 Step 2: Setting Up Docker Environment{Colors.END}\n")
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# Check if Docker daemon is running
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docker_running, _ = self.run_command("docker ps", "Checking Docker daemon", critical=False)
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if not docker_running:
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print(f"{Colors.YELLOW}⚠️ Docker daemon is not running. Please start Docker Desktop and try again.{Colors.END}")
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return False
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# Start FuzzForge services
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os.chdir(self.project_root)
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# Warning about first launch
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print(f"{Colors.CYAN}ℹ️ First launch will take longer due to Docker image building (5-10 minutes).{Colors.END}")
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print(f"{Colors.CYAN} Subsequent starts will be much faster!{Colors.END}\n")
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# Build and start services
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print(f"{Colors.YELLOW}🔨 Building and starting FuzzForge services (this may take a while)...{Colors.END}")
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# Use longer timeout for Docker build (10 minutes)
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try:
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result = subprocess.run(
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["docker", "compose", "up", "-d"],
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capture_output=True,
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text=True,
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timeout=600, # 10 minute timeout for Docker build
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cwd=self.project_root
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)
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if result.returncode == 0:
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print(f"{Colors.GREEN}✅ Docker services started successfully{Colors.END}")
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else:
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self.errors.append(f"Docker services failed to start: {result.stderr.strip()}")
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print(f"{Colors.RED}❌ Docker services failed to start: {result.stderr.strip()}{Colors.END}")
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return False
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except subprocess.TimeoutExpired:
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self.errors.append("Docker build timed out after 10 minutes")
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print(f"{Colors.RED}⏰ Docker build timed out after 10 minutes{Colors.END}")
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return False
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except Exception as e:
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self.errors.append(f"Docker setup failed: {e}")
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print(f"{Colors.RED}💥 Docker setup failed: {e}{Colors.END}")
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return False
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# Wait for services to be ready with extended timeout
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print(f"{Colors.YELLOW}⏳ Waiting for services to be ready...{Colors.END}")
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for i in range(120): # Wait up to 2 minutes for services to be ready
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time.sleep(1)
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health_success, _ = self.run_command("curl -s http://localhost:8000/health", "Health check", critical=False)
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if health_success:
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print(f"\n{Colors.GREEN}✅ FuzzForge API is ready at http://localhost:8000!{Colors.END}")
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return True
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if i % 10 == 0: # Print progress every 10 seconds
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print(f"\n{Colors.CYAN} Still starting... ({i+1}s){Colors.END}")
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else:
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print(".", end="", flush=True)
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print(f"\n{Colors.YELLOW}⚠️ Services may still be starting. Check status with 'docker compose logs'{Colors.END}")
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print(f"{Colors.CYAN}💡 You can monitor progress with: docker compose logs -f{Colors.END}")
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return True
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def install_cli(self) -> bool:
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"""Install FuzzForge CLI"""
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print(f"\n{Colors.BOLD}💻 Step 3: Installing FuzzForge CLI (Final Step){Colors.END}\n")
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cli_dir = self.project_root / "cli"
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if not cli_dir.exists():
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self.errors.append("CLI directory not found")
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return False
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# Install from root, pointing to the 'cli' directory
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success, _ = self.run_command("uv tool install --python python3.12 .", "Installing FuzzForge CLI with Python 3.12")
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return success
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def print_next_steps(self):
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"""Print next steps for the user"""
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print(f"\n{Colors.BOLD}{Colors.GREEN}🎉 Setup Complete!{Colors.END}")
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if not self.errors:
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print(f"""
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{Colors.CYAN}🚀 FuzzForge is now ready! Here's what you can do next:{Colors.END}
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{Colors.BOLD}📖 Learn More:{Colors.END}
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• {Colors.BLUE}docs/QUICKSTART.md{Colors.END} - 5-minute module creation tutorial
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• {Colors.BLUE}docs/PATTERNS.md{Colors.END} - Common patterns and recipes
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• {Colors.BLUE}cli/README.md{Colors.END} - Complete CLI documentation
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{Colors.BOLD}🔍 Try Some Commands:{Colors.END}
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• {Colors.WHITE}cd test_projects/vulnerable_app{Colors.END} - Navigate to test project
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• {Colors.WHITE}fuzzforge init{Colors.END} - Initialize a FuzzForge project
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• {Colors.WHITE}ff workflow security_assessment .{Colors.END} - Run security assessment
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• {Colors.WHITE}ff workflow secret_detection_scan .{Colors.END} - Run secret detection
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• {Colors.WHITE}fuzzforge status{Colors.END} - Check project and workflow status
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• {Colors.WHITE}fuzzforge --help{Colors.END} - See all available commands
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{Colors.BOLD}🔧 Available Workflows:{Colors.END}
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• {Colors.CYAN}security_assessment{Colors.END} - Comprehensive security scanning
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• {Colors.CYAN}secret_detection_scan{Colors.END} - Credential and secret detection
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{Colors.BOLD}🌐 Web Interface:{Colors.END}
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• API: {Colors.WHITE}http://localhost:8000{Colors.END}
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• Health: {Colors.WHITE}http://localhost:8000/health{Colors.END}
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• API Docs: {Colors.WHITE}http://localhost:8000/docs{Colors.END}
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""")
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if self.warnings:
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print(f"\n{Colors.YELLOW}⚠️ Warnings:{Colors.END}")
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for warning in self.warnings:
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print(f" • {warning}")
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if self.errors:
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print(f"\n{Colors.RED}❌ Errors that need attention:{Colors.END}")
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for error in self.errors:
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print(f" • {error}")
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print(f"\n{Colors.YELLOW}🔧 Please fix these issues and run the setup again.{Colors.END}")
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def run(self):
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"""Run the complete setup process"""
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self.print_header()
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# Step 1: Prerequisites
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if not self.check_prerequisites():
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if self.errors:
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self.print_next_steps()
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return False
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# Step 2: Docker setup
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if not self.setup_docker_environment():
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if self.errors:
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self.print_next_steps()
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return False
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# Step 3: CLI installation
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self.install_cli()
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# Final summary
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self.print_next_steps()
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return len(self.errors) == 0
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def main():
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"""Main entry point"""
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setup = FuzzForgeSetup()
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try:
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success = setup.run()
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sys.exit(0 if success else 1)
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except KeyboardInterrupt:
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print(f"\n{Colors.YELLOW}Setup interrupted by user. You can run this script again anytime.{Colors.END}")
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sys.exit(1)
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except Exception as e:
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print(f"\n{Colors.RED}Unexpected error: {e}{Colors.END}")
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print(f"{Colors.YELLOW}Please report this issue with the error details above.{Colors.END}")
|
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sys.exit(1)
|
||
|
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|
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if __name__ == "__main__":
|
||
main()
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