mirror of
https://github.com/FuzzingLabs/fuzzforge_ai.git
synced 2026-05-17 18:53:26 +02:00
ec812461d6
* 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.
466 lines
16 KiB
Python
466 lines
16 KiB
Python
"""
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Main CLI application with improved command structure.
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"""
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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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import typer
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from rich.console import Console
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from rich.traceback import install
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from typing import Optional, List
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import sys
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from .commands import (
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init,
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workflows,
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workflow_exec,
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findings,
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monitor,
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config as config_cmd,
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ai,
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ingest,
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)
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from .constants import DEFAULT_VOLUME_MODE
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from .fuzzy import enhanced_command_not_found_handler
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# Install rich traceback handler
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install(show_locals=True)
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# Create console for rich output
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console = Console()
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# Create the main Typer app
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app = typer.Typer(
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name="fuzzforge",
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help=(
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"\b\n"
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"[cyan]███████╗██╗ ██╗███████╗███████╗███████╗ ██████╗ ██████╗ ██████╗ ███████╗\n"
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"██╔════╝██║ ██║╚══███╔╝╚══███╔╝██╔════╝██╔═══██╗██╔══██╗██╔════╝ ██╔════╝\n"
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"█████╗ ██║ ██║ ███╔╝ ███╔╝ █████╗ ██║ ██║██████╔╝██║ ███╗█████╗ \n"
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"██╔══╝ ██║ ██║ ███╔╝ ███╔╝ ██╔══╝ ██║ ██║██╔══██╗██║ ██║██╔══╝ \n"
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"██║ ╚██████╔╝███████╗███████╗██║ ╚██████╔╝██║ ██║╚██████╔╝███████╗\n"
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"╚═╝ ╚═════╝ ╚══════╝╚══════╝╚═╝ ╚═════╝ ╚═╝ ╚═╝ ╚═════╝ ╚══════╝[/cyan]\n\n"
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"🛡️ Security testing workflow orchestration platform"
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),
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rich_markup_mode="rich",
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no_args_is_help=True,
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context_settings={
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# Prevent help text from wrapping so ASCII art stays aligned
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"max_content_width": 200,
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# Keep common help flags
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"help_option_names": ["--help", "-h"],
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},
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)
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# Create workflow singular command group
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workflow_app = typer.Typer(
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name="workflow",
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help="🚀 Execute and manage individual workflows",
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no_args_is_help=False, # Allow direct execution
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)
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# Create finding singular command group
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finding_app = typer.Typer(
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name="finding",
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help="🔍 View and analyze individual findings",
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no_args_is_help=False,
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)
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# === Top-level commands ===
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@app.command()
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def init(
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name: Optional[str] = typer.Option(
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None, "--name", "-n",
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help="Project name (defaults to current directory name)"
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),
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api_url: Optional[str] = typer.Option(
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None, "--api-url", "-u",
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help="FuzzForge API URL (defaults to http://localhost:8000)"
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),
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force: bool = typer.Option(
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False, "--force", "-f",
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help="Force initialization even if project already exists"
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)
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):
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"""
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📁 Initialize a new FuzzForge project
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"""
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from .commands.init import project
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project(name=name, api_url=api_url, force=force)
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@app.command()
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def status():
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"""
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📊 Show project and latest execution status
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"""
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from .commands.status import show_status
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show_status()
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@app.command()
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def config(
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key: Optional[str] = typer.Argument(None, help="Configuration key"),
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value: Optional[str] = typer.Argument(None, help="Configuration value to set")
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):
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"""
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⚙️ Manage configuration (show all, get, or set values)
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"""
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if key is None:
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# No arguments: show all config
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config_cmd.show_config(global_config=False)
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elif value is None:
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# Key only: get specific value
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config_cmd.get_config(key=key, global_config=False)
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else:
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# Key and value: set value
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config_cmd.set_config(key=key, value=value, global_config=False)
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@app.command()
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def clean(
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days: int = typer.Option(
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90, "--days", "-d",
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help="Remove data older than this many days"
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),
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dry_run: bool = typer.Option(
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False, "--dry-run",
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help="Show what would be deleted without actually deleting"
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)
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):
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"""
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🧹 Clean old execution data and findings
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"""
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from .database import get_project_db
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from .exceptions import require_project
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try:
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require_project()
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db = get_project_db()
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if not db:
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console.print("❌ No project database found", style="red")
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raise typer.Exit(1)
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if dry_run:
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console.print(f"🔍 [bold]Dry run:[/bold] Would clean data older than {days} days")
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deleted = db.cleanup_old_runs(keep_days=days)
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if not dry_run:
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console.print(f"✅ Cleaned {deleted} old executions", style="green")
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else:
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console.print(f"Would delete {deleted} executions", style="yellow")
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except Exception as e:
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console.print(f"❌ Failed to clean data: {e}", style="red")
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raise typer.Exit(1)
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# === Workflow commands (singular) ===
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# Add workflow subcommands first (before callback)
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workflow_app.command("status")(workflow_exec.workflow_status)
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workflow_app.command("history")(workflow_exec.workflow_history)
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workflow_app.command("retry")(workflow_exec.retry_workflow)
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workflow_app.command("info")(workflows.workflow_info)
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workflow_app.command("params")(workflows.workflow_parameters)
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@workflow_app.command("run")
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def run_workflow(
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workflow: str = typer.Argument(help="Workflow name"),
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target: str = typer.Argument(help="Target path"),
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params: List[str] = typer.Argument(default=None, help="Parameters as key=value pairs"),
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param_file: Optional[str] = typer.Option(
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None, "--param-file", "-f",
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help="JSON file containing workflow parameters"
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),
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volume_mode: str = typer.Option(
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DEFAULT_VOLUME_MODE, "--volume-mode", "-v",
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help="Volume mount mode: ro (read-only) or rw (read-write)"
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),
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timeout: Optional[int] = typer.Option(
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None, "--timeout", "-t",
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help="Execution timeout in seconds"
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),
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interactive: bool = typer.Option(
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True, "--interactive/--no-interactive", "-i/-n",
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help="Interactive parameter input for missing required parameters"
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),
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wait: bool = typer.Option(
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False, "--wait", "-w",
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help="Wait for execution to complete"
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),
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live: bool = typer.Option(
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False, "--live", "-l",
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help="Start live monitoring after execution (useful for fuzzing workflows)"
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),
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auto_start: Optional[bool] = typer.Option(
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None, "--auto-start/--no-auto-start",
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help="Automatically start required worker if not running (default: from config)"
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),
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auto_stop: Optional[bool] = typer.Option(
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None, "--auto-stop/--no-auto-stop",
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help="Automatically stop worker after execution completes (default: from config)"
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),
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fail_on: Optional[str] = typer.Option(
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None, "--fail-on",
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help="Fail build if findings match SARIF level (error,warning,note,info,all,none). Use with --wait"
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),
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export_sarif: Optional[str] = typer.Option(
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None, "--export-sarif",
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help="Export SARIF results to file after completion. Use with --wait"
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)
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):
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"""
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🚀 Execute a security testing workflow
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Use --fail-on with --wait to fail CI builds based on finding severity.
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Use --export-sarif with --wait to export SARIF findings to a file.
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"""
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from .commands.workflow_exec import execute_workflow
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execute_workflow(
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workflow=workflow,
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target_path=target,
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params=params,
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param_file=param_file,
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volume_mode=volume_mode,
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timeout=timeout,
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interactive=interactive,
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wait=wait,
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live=live,
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auto_start=auto_start,
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auto_stop=auto_stop,
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fail_on=fail_on,
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export_sarif=export_sarif
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)
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@workflow_app.callback()
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def workflow_main():
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"""
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Execute workflows and manage workflow executions
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Examples:
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fuzzforge workflow security_assessment ./target # Execute workflow
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fuzzforge workflow status # Check latest status
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fuzzforge workflow history # Show execution history
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"""
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pass
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# === Finding commands (singular) ===
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@finding_app.command("export")
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def export_finding(
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execution_id: Optional[str] = typer.Argument(None, help="Execution ID (defaults to latest)"),
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format: str = typer.Option(
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"sarif", "--format", "-f",
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help="Export format: sarif, json, csv"
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),
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output: Optional[str] = typer.Option(
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None, "--output", "-o",
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help="Output file (defaults to stdout)"
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)
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):
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"""
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📤 Export findings to file
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"""
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from .commands.findings import export_findings
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from .database import get_project_db
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from .exceptions import require_project
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try:
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require_project()
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# If no ID provided, get the latest
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if not execution_id:
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db = get_project_db()
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if db:
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recent_runs = db.list_runs(limit=1)
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if recent_runs:
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execution_id = recent_runs[0].run_id
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console.print(f"🔍 Using most recent execution: {execution_id}")
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else:
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console.print("⚠️ No findings found in project database", style="yellow")
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return
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else:
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console.print("❌ No project database found", style="red")
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return
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export_findings(run_id=execution_id, format=format, output=output)
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except Exception as e:
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console.print(f"❌ Failed to export findings: {e}", style="red")
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@finding_app.command("analyze")
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def analyze_finding(
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finding_id: Optional[str] = typer.Argument(None, help="Finding ID to analyze")
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):
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"""
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🤖 AI analysis of a finding
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"""
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from .commands.ai import analyze_finding as ai_analyze
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ai_analyze(finding_id)
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@finding_app.callback(invoke_without_command=True)
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def finding_main(
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ctx: typer.Context,
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):
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"""
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View and analyze individual findings
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Examples:
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fuzzforge finding # Show latest finding
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fuzzforge finding <id> # Show specific finding
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fuzzforge finding export # Export latest findings
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"""
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# Check if a subcommand is being invoked
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if ctx.invoked_subcommand is not None:
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# Let the subcommand handle it
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return
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# Get remaining arguments for direct viewing
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args = ctx.args if hasattr(ctx, 'args') else []
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finding_id = args[0] if args else None
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# Direct viewing: fuzzforge finding [id]
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from .commands.findings import get_findings
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from .database import get_project_db
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from .exceptions import require_project
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try:
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require_project()
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# If no ID provided, get the latest
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if not finding_id:
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db = get_project_db()
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if db:
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recent_runs = db.list_runs(limit=1)
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if recent_runs:
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finding_id = recent_runs[0].run_id
|
|
console.print(f"🔍 Using most recent execution: {finding_id}")
|
|
else:
|
|
console.print("⚠️ No findings found in project database", style="yellow")
|
|
return
|
|
else:
|
|
console.print("❌ No project database found", style="red")
|
|
return
|
|
|
|
get_findings(run_id=finding_id, save=True, format="table")
|
|
except Exception as e:
|
|
console.print(f"❌ Failed to get findings: {e}", style="red")
|
|
|
|
|
|
# === Add command groups ===
|
|
|
|
# Plural commands (for browsing/listing)
|
|
app.add_typer(workflows.app, name="workflows", help="📋 Browse available workflows")
|
|
app.add_typer(findings.app, name="findings", help="📋 Browse all findings")
|
|
|
|
# Singular commands (for actions)
|
|
app.add_typer(workflow_app, name="workflow", help="🚀 Execute and manage workflows")
|
|
app.add_typer(finding_app, name="finding", help="🔍 View and analyze findings")
|
|
|
|
# Other command groups
|
|
app.add_typer(monitor.app, name="monitor", help="📊 Real-time monitoring")
|
|
app.add_typer(ai.app, name="ai", help="🤖 AI integration features")
|
|
app.add_typer(ingest.app, name="ingest", help="🧠 Ingest knowledge into AI")
|
|
|
|
# Help and utility commands
|
|
@app.command()
|
|
def version():
|
|
"""
|
|
📦 Show version information
|
|
"""
|
|
from . import __version__
|
|
console.print(f"FuzzForge CLI v{__version__}")
|
|
console.print("Short command: ff")
|
|
|
|
|
|
@app.callback()
|
|
def main_callback(
|
|
ctx: typer.Context,
|
|
version: Optional[bool] = typer.Option(
|
|
None, "--version", "-v",
|
|
help="Show version information"
|
|
),
|
|
):
|
|
"""
|
|
🛡️ FuzzForge CLI - Security testing workflow orchestration platform
|
|
|
|
Quick start:
|
|
• ff init - Initialize a new project
|
|
• ff workflows - See available workflows
|
|
• ff workflow <name> <target> - Execute a workflow
|
|
"""
|
|
if version:
|
|
from . import __version__
|
|
console.print(f"FuzzForge CLI v{__version__}")
|
|
raise typer.Exit()
|
|
|
|
|
|
def main():
|
|
"""Main entry point with smart command routing and error handling"""
|
|
# Smart command routing BEFORE Typer processes arguments
|
|
if len(sys.argv) > 1:
|
|
args = sys.argv[1:]
|
|
|
|
|
|
# Handle finding command with pattern recognition
|
|
if len(args) >= 2 and args[0] == 'finding':
|
|
finding_subcommands = ['export', 'analyze']
|
|
# Skip custom dispatching if help flags are present
|
|
if not any(arg in ['--help', '-h', '--version', '-v'] for arg in args):
|
|
if args[1] not in finding_subcommands:
|
|
# Direct finding display: ff finding <id>
|
|
from .commands.findings import get_findings
|
|
|
|
finding_id = args[1]
|
|
console.print(f"🔍 Displaying finding: {finding_id}")
|
|
|
|
try:
|
|
get_findings(run_id=finding_id, save=True, format="table")
|
|
return
|
|
except Exception as e:
|
|
console.print(f"❌ Failed to get finding: {e}", style="red")
|
|
sys.exit(1)
|
|
|
|
# Default Typer app handling
|
|
try:
|
|
app()
|
|
except SystemExit as e:
|
|
# Enhanced error handling for command not found
|
|
if hasattr(e, 'code') and e.code != 0 and len(sys.argv) > 1:
|
|
command_parts = sys.argv[1:]
|
|
clean_parts = [part for part in command_parts if not part.startswith('-')]
|
|
|
|
if clean_parts:
|
|
main_cmd = clean_parts[0]
|
|
valid_commands = [
|
|
'init', 'status', 'config', 'clean',
|
|
'workflows', 'workflow',
|
|
'findings', 'finding',
|
|
'monitor', 'ai', 'ingest',
|
|
'version'
|
|
]
|
|
|
|
if main_cmd not in valid_commands:
|
|
enhanced_command_not_found_handler(clean_parts)
|
|
sys.exit(1)
|
|
raise
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|