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https://github.com/lightbroker/llmsecops-research.git
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matrix strategy for tests
This commit is contained in:
@@ -1,5 +1,7 @@
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import pytest
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from src.text_generation.common.model_id import ModelId
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from src.text_generation.services.nlp.abstract_text_generation_completion_service import AbstractTextGenerationCompletionService
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from tests.integration.test_utils import run_prompt_analysis_test
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from tests.integration.test_utils import get_prompt_batch, run_prompt_analysis_test
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@pytest.mark.mitigation
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@@ -18,7 +20,7 @@ def test_03_malicious_prompts_rag_microsoft_phi_3_mini4k_instruct(
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model_id=ModelId.MICROSOFT_PHI_3_MINI4K_INSTRUCT,
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text_generation_completion_service=text_generation_completion_service,
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semantic_similarity_service=semantic_similarity_service,
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prompts=malicious_prompts,
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prompts=get_prompt_batch(malicious_prompts),
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comparison_texts=prompt_injection_all_example_responses,
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service_configurator=configure_service
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)
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+2
-2
@@ -1,6 +1,6 @@
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from src.text_generation.common.model_id import ModelId
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from src.text_generation.services.nlp.abstract_text_generation_completion_service import AbstractTextGenerationCompletionService
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from tests.integration.test_utils import run_prompt_analysis_test
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from tests.integration.test_utils import get_prompt_batch, run_prompt_analysis_test
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import pytest
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@@ -23,7 +23,7 @@ def test_04_malicious_prompts_rag_and_cot_apple_openelm_3b_instruct(
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model_id=ModelId.APPLE_OPENELM_3B_INSTRUCT,
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text_generation_completion_service=text_generation_completion_service,
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semantic_similarity_service=semantic_similarity_service,
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prompts=malicious_prompts[:1],
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prompts=get_prompt_batch(malicious_prompts),
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comparison_texts=prompt_injection_all_example_responses,
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service_configurator=configure_service
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)
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+2
-2
@@ -1,6 +1,6 @@
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from src.text_generation.common.model_id import ModelId
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from src.text_generation.services.nlp.abstract_text_generation_completion_service import AbstractTextGenerationCompletionService
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from tests.integration.test_utils import run_prompt_analysis_test
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from tests.integration.test_utils import run_prompt_analysis_test, get_prompt_batch
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import pytest
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@@ -23,7 +23,7 @@ def test_04_malicious_prompts_rag_and_cot_meta_llama_3_2_3b_instruct(
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model_id=ModelId.META_LLAMA_3_2_3B_INSTRUCT,
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text_generation_completion_service=text_generation_completion_service,
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semantic_similarity_service=semantic_similarity_service,
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prompts=malicious_prompts[:1],
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prompts=get_prompt_batch(malicious_prompts),
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comparison_texts=prompt_injection_all_example_responses,
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service_configurator=configure_service
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)
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+6
-6
@@ -1,9 +1,9 @@
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import os
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import pytest
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from src.text_generation.common.model_id import ModelId
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from src.text_generation.services.nlp.abstract_text_generation_completion_service import AbstractTextGenerationCompletionService
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from tests.integration.test_utils import run_prompt_analysis_test
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import pytest
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from tests.integration.test_utils import run_prompt_analysis_test, get_prompt_batch
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@pytest.mark.mitigation
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@@ -17,13 +17,13 @@ def test_04_malicious_prompts_rag_and_cot_microsoft_phi_3_mini4k_instruct(
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return (service
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.with_chain_of_thought_guidelines()
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.with_rag_context_guidelines())
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results = run_prompt_analysis_test(
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test_id=4,
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model_id=ModelId.MICROSOFT_PHI_3_MINI4K_INSTRUCT,
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text_generation_completion_service=text_generation_completion_service,
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semantic_similarity_service=semantic_similarity_service,
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prompts=malicious_prompts[:1],
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prompts=get_prompt_batch(malicious_prompts),
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comparison_texts=prompt_injection_all_example_responses,
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service_configurator=configure_service
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)
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@@ -1,4 +1,5 @@
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import inspect
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import os
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from typing import List, Callable
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from src.text_generation.common.model_id import ModelId
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from src.text_generation.domain.semantic_similarity_result import SemanticSimilarityResult
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@@ -9,6 +10,20 @@ from src.text_generation.services.nlp.abstract_text_generation_completion_servic
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from src.text_generation.services.nlp.text_generation_completion_service import TextGenerationCompletionService
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def get_prompt_batch(prompts, batch_size=10, env_var='PROMPT_BATCH'):
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"""
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Returns a batch of prompts based on the PROMPT_BATCH environment variable.
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Prints batch info for debugging.
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"""
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batch_num = int(os.getenv(env_var, '1'))
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start_idx = (batch_num - 1) * batch_size
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end_idx = min(start_idx + batch_size, len(prompts))
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prompt_subset = prompts[start_idx:end_idx]
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print(f"Running batch {batch_num}: prompts {start_idx+1}-{end_idx} ({len(prompt_subset)} prompts)")
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return prompt_subset
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def run_prompt_analysis_test(
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test_id: int,
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model_id: ModelId,
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