mirror of
https://github.com/FuzzingLabs/fuzzforge_ai.git
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09951d68d7
- Fix live monitoring style error by calling _live_monitor() helper directly - Remove default_parameters duplication from 10 workflow metadata files - Remove deprecated volume_mode parameter from 26 files across CLI, SDK, backend, and docs - Configure Python worker to start automatically with docker compose up - Clean up constants, validation, completion, and example files Fixes # - Live monitoring now works correctly with --live flag - Workflow metadata follows JSON Schema standard - Cleaner codebase without deprecated volume_mode - Python worker (most commonly used) starts by default
69 lines
2.2 KiB
Python
69 lines
2.2 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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Quick demo to save findings to a SARIF file.
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"""
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from pathlib import Path
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from fuzzforge_sdk import FuzzForgeClient
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from fuzzforge_sdk.utils import create_workflow_submission, save_sarif_to_file, format_sarif_summary
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def main():
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"""Save findings demo."""
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client = FuzzForgeClient(base_url="http://localhost:8000")
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try:
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# List workflows
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workflows = client.list_workflows()
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if not workflows:
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print("❌ No workflows available")
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return
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# Submit workflow
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workflow_name = workflows[0].name
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submission = create_workflow_submission(
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target_path=Path.cwd().absolute(),
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timeout=300
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)
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print(f"🚀 Submitting {workflow_name}...")
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response = client.submit_workflow(workflow_name, submission)
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# Wait for completion
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print("⏱️ Waiting for completion...")
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final_status = client.wait_for_completion(response.run_id)
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if final_status.is_completed:
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# Get findings
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findings = client.get_run_findings(response.run_id)
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summary = format_sarif_summary(findings.sarif)
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print(f"📈 {summary}")
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# Save to file
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output_file = Path("fuzzforge_findings.sarif.json")
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save_sarif_to_file(findings.sarif, output_file)
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print(f"💾 Findings saved to: {output_file.absolute()}")
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# Show file info
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print(f"📄 File size: {output_file.stat().st_size:,} bytes")
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else:
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print(f"❌ Workflow failed: {final_status.status}")
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except Exception as e:
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print(f"❌ Error: {e}")
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finally:
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client.close()
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if __name__ == "__main__":
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main() |