forked from phoenix/litellm-mirror
d57be47b0f
* ci(config.yml): add a 'check_code_quality' step Addresses https://github.com/BerriAI/litellm/issues/5991 * ci(config.yml): check why circle ci doesn't pick up this test * ci(config.yml): fix to run 'check_code_quality' tests * fix(__init__.py): fix unprotected import * fix(__init__.py): don't remove unused imports * build(ruff.toml): update ruff.toml to ignore unused imports * fix: fix: ruff + pyright - fix linting + type-checking errors * fix: fix linting errors * fix(lago.py): fix module init error * fix: fix linting errors * ci(config.yml): cd into correct dir for checks * fix(proxy_server.py): fix linting error * fix(utils.py): fix bare except causes ruff linting errors * fix: ruff - fix remaining linting errors * fix(clickhouse.py): use standard logging object * fix(__init__.py): fix unprotected import * fix: ruff - fix linting errors * fix: fix linting errors * ci(config.yml): cleanup code qa step (formatting handled in local_testing) * fix(_health_endpoints.py): fix ruff linting errors * ci(config.yml): just use ruff in check_code_quality pipeline for now * build(custom_guardrail.py): include missing file * style(embedding_handler.py): fix ruff check
94 lines
2.8 KiB
Python
94 lines
2.8 KiB
Python
#### What this tests ####
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# This tests mock request calls to litellm
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import os
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import sys
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import traceback
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import pytest
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import litellm
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def test_mock_request():
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try:
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model = "gpt-3.5-turbo"
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messages = [{"role": "user", "content": "Hey, I'm a mock request"}]
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response = litellm.mock_completion(model=model, messages=messages, stream=False)
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print(response)
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print(type(response))
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except Exception:
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traceback.print_exc()
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# test_mock_request()
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def test_streaming_mock_request():
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try:
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model = "gpt-3.5-turbo"
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messages = [{"role": "user", "content": "Hey, I'm a mock request"}]
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response = litellm.mock_completion(model=model, messages=messages, stream=True)
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complete_response = ""
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for chunk in response:
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complete_response += chunk["choices"][0]["delta"]["content"] or ""
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if complete_response == "":
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raise Exception("Empty response received")
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except Exception:
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traceback.print_exc()
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# test_streaming_mock_request()
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@pytest.mark.asyncio()
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async def test_async_mock_streaming_request():
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generator = await litellm.acompletion(
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messages=[{"role": "user", "content": "Why is LiteLLM amazing?"}],
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mock_response="LiteLLM is awesome",
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stream=True,
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model="gpt-3.5-turbo",
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)
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complete_response = ""
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async for chunk in generator:
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print(chunk)
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complete_response += chunk["choices"][0]["delta"]["content"] or ""
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assert (
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complete_response == "LiteLLM is awesome"
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), f"Unexpected response got {complete_response}"
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def test_mock_request_n_greater_than_1():
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try:
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model = "gpt-3.5-turbo"
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messages = [{"role": "user", "content": "Hey, I'm a mock request"}]
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response = litellm.mock_completion(model=model, messages=messages, n=5)
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print("response: ", response)
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assert len(response.choices) == 5
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for choice in response.choices:
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assert choice.message.content == "This is a mock request"
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except Exception:
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traceback.print_exc()
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@pytest.mark.asyncio()
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async def test_async_mock_streaming_request_n_greater_than_1():
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generator = await litellm.acompletion(
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messages=[{"role": "user", "content": "Why is LiteLLM amazing?"}],
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mock_response="LiteLLM is awesome",
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stream=True,
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model="gpt-3.5-turbo",
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n=5,
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)
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complete_response = ""
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async for chunk in generator:
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print(chunk)
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# complete_response += chunk["choices"][0]["delta"]["content"] or ""
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# assert (
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# complete_response == "LiteLLM is awesome"
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# ), f"Unexpected response got {complete_response}"
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