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test: Add secret detection benchmark dataset and ground truth
Add comprehensive benchmark dataset with 32 documented secrets for testing secret detection workflows (gitleaks, trufflehog, llm_secret_detection). - Add test_projects/secret_detection_benchmark/ with 19 test files - Add ground truth JSON with precise line-by-line secret mappings - Update .gitignore with exceptions for benchmark files (not real secrets) Dataset breakdown: - 12 Easy secrets (standard patterns) - 10 Medium secrets (obfuscated) - 10 Hard secrets (well hidden)
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"""
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Main application entry point
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"""
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import os
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# EASY SECRET #5: JWT Secret
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JWT_SECRET_KEY = "my-super-secret-jwt-key-do-not-share-2024"
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def init_app():
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"""Initialize the application"""
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app_config = {
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"name": "SecretDetectionBenchmark",
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"version": "1.0.0"
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}
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return app_config
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if __name__ == "__main__":
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print("Application starting...")
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init_app()
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