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feat(pair-corpus-honesty): add vibe-py, vfc-js and agent-vfc slices with mechanism vocabulary
Tasks 1.1, 5.1, 5.2, 5.4 and the data half of 5.3. - mechanisms.toml: closed vocabulary v1 (20 ids) every expected row cites. - vibe-py: 35 Real-Vuln-Benchmark pairs (Apache-2.0), human provenance only because the LLM-generated repositories carry no license (escalated). - vfc-js: 17 Node fix-commit pairs harvested upstream (MIT/Apache-2.0), SecBench.js itself is not vendored (no license); sinks derived on 13/17. - agent-vfc: 29 agent-trailer fixes as catalog-candidates.toml plus REVIEW.md; the loaded catalog stays empty until a human reviews them. - datasets.toml and README document every slice and its review status. Co-Authored-By: Claude Fable 5.1 <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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Claude Fable 5.1
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# Provenance: anotherik/ThreatByte delete (vuln).
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# repo: anotherik/ThreatByte
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# commit: c4db46f72586c4ecb65859051ea037018dbf0e5e
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# parent: c4db46f72586c4ecb65859051ea037018dbf0e5e
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# commit_url: https://github.com/anotherik/ThreatByte/blob/c4db46f72586c4ecb65859051ea037018dbf0e5e/server/api/v1/api_v1.py#L223
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# cve:
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# license: MIT
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# function: delete
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# relpath: server/api/v1/api_v1.py
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# provenance: human
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# mechanism: missing_auth_guard
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def delete(self, user_id):
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"""
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Delete a user from the application.
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"""
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with get_db_connection() as conn:
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
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user = cursor.fetchone()
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if user:
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cursor.execute("DELETE FROM users WHERE id = ?", (user_id,))
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conn.commit()
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response = make_response(jsonify({'message': 'User deleted successfully'}), 200)
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return response
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else:
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response = make_response(jsonify({'error': 'User not found'}), 404)
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return response
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