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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
118 lines
3.9 KiB
Python
118 lines
3.9 KiB
Python
"""
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Test DynamoAI Guardrails integration
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"""
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import pytest
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from litellm.proxy.guardrails.guardrail_hooks.dynamoai import DynamoAIGuardrails
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.caching.caching import DualCache
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from unittest.mock import AsyncMock, MagicMock, patch
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@pytest.mark.asyncio
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async def test_dynamoai_blocks_content_with_block_action():
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"""
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Test that DynamoAI guardrail blocks content when finalAction is BLOCK.
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"""
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# Create guardrail instance
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guardrail = DynamoAIGuardrails(
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guardrail_name="test-dynamoai",
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api_key="test-api-key",
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api_base="https://api.dynamo.ai",
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)
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# Mock the DynamoAI API response with BLOCK action
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {
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"text": "This is harmful content",
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"textType": "MODEL_INPUT",
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"finalAction": "BLOCK",
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"appliedPolicies": [
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{
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"policy": {
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"id": "policy-123",
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"name": "Toxicity Policy",
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"description": "Blocks toxic content",
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"method": "TOXICITY",
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},
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"outputs": {
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"action": "BLOCK",
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"message": "Content contains toxic language",
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},
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}
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],
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}
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mock_response.raise_for_status = MagicMock()
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with patch.object(
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guardrail.async_handler, "post", AsyncMock(return_value=mock_response)
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):
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request_data = {
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"model": "gpt-5.5",
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"messages": [{"role": "user", "content": "This is harmful content"}],
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}
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# Mock should_run_guardrail to return True
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guardrail.should_run_guardrail = MagicMock(return_value=True)
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# Test that the guardrail raises ValueError for blocked content
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with pytest.raises(ValueError, match='violation\\(s\\) detected') as exc_info:
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await guardrail.async_pre_call_hook(
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data=request_data,
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user_api_key_dict=UserAPIKeyAuth(),
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call_type="completion",
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cache=MagicMock(spec=DualCache),
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)
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# Verify the error message contains policy information
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error_message = str(exc_info.value)
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assert "Guardrail failed" in error_message
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assert "TOXICITY POLICY" in error_message.upper()
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assert "BLOCK" in error_message.upper()
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@pytest.mark.asyncio
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async def test_dynamoai_allows_content_with_none_action():
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"""
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Test that DynamoAI guardrail allows content when finalAction is NONE.
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"""
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# Create guardrail instance
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guardrail = DynamoAIGuardrails(
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guardrail_name="test-dynamoai",
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api_key="test-api-key",
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api_base="https://api.dynamo.ai",
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)
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# Mock the DynamoAI API response with NONE action (no violations)
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {
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"text": "Hello, how are you?",
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"textType": "MODEL_INPUT",
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"finalAction": "NONE",
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"appliedPolicies": [],
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}
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mock_response.raise_for_status = MagicMock()
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with patch.object(
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guardrail.async_handler, "post", AsyncMock(return_value=mock_response)
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):
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request_data = {
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"model": "gpt-5.5",
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"messages": [{"role": "user", "content": "Hello, how are you?"}],
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}
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# Mock should_run_guardrail to return True
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guardrail.should_run_guardrail = MagicMock(return_value=True)
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# Test that the guardrail allows the content (no exception raised)
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result = await guardrail.async_pre_call_hook(
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data=request_data,
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user_api_key_dict=UserAPIKeyAuth(),
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call_type="completion",
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cache=MagicMock(spec=DualCache),
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)
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# Should return the request data unchanged
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assert result == request_data
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