mirror of
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109 lines
3.5 KiB
Python
109 lines
3.5 KiB
Python
#### What this tests ####
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# This tests if logging to the litedebugger integration actually works
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# Test Scenarios (test across normal completion, streaming)
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## 1: Pre-API-Call
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## 2: Post-API-Call
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## 3: On LiteLLM Call success
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## 4: On LiteLLM Call failure
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import sys, os, io
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import traceback, logging
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import pytest
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import dotenv
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dotenv.load_dotenv()
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# Create logger
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.DEBUG)
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# Create a stream handler
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stream_handler = logging.StreamHandler(sys.stdout)
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logger.addHandler(stream_handler)
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# Create a function to log information
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def logger_fn(message):
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logger.info(message)
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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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from litellm import completion_with_split_tests
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from openai.error import AuthenticationError
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litellm.set_verbose = True
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score = 0
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split_per_model = {
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"gpt-4": 0,
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"claude-instant-1.2": 1
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}
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user_message = "Hello, how are you?"
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messages = [{"content": user_message, "role": "user"}]
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# #Test 1: On completion call - without setting client to true -> ensure litedebugger is not initialized
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# try:
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# # Redirect stdout
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# old_stdout = sys.stdout
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# sys.stdout = new_stdout = io.StringIO()
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# response = completion_with_split_tests(models=split_per_model, messages=messages)
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# # Restore stdout
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# sys.stdout = old_stdout
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# output = new_stdout.getvalue().strip()
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# if "LiteLLMDebugger" in output:
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# raise Exception("LiteLLM Debugger should not be called!")
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# score += 1
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# Test 2: On normal completion call - setting client to true
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def test_completion_with_client():
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try:
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# Redirect stdout
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old_stdout = sys.stdout
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sys.stdout = new_stdout = io.StringIO()
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response = completion_with_split_tests(models=split_per_model, messages=messages, use_client=True, id="6d383c99-488d-481d-aa1b-1f94935cec44")
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# Restore stdout
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sys.stdout = old_stdout
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output = new_stdout.getvalue().strip()
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if "LiteDebugger: Pre-API Call Logging" not in output:
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raise Exception(f"LiteLLMDebugger: pre-api call not logged! \n{output}")
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if "LiteDebugger: Post-API Call Logging" not in output:
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raise Exception("LiteLLMDebugger: post-api call not logged!")
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if "LiteDebugger: Success/Failure Call Logging" not in output:
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raise Exception("LiteLLMDebugger: success/failure call not logged!")
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# # Test 3: On streaming completion call - setting client to true
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# try:
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# # Redirect stdout
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# old_stdout = sys.stdout
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# sys.stdout = new_stdout = io.StringIO()
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# response = completion_with_split_tests(models=split_per_model, messages=messages, stream=True, use_client=True, override_client=True, id="6d383c99-488d-481d-aa1b-1f94935cec44")
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# for data in response:
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# continue
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# # Restore stdout
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# sys.stdout = old_stdout
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# output = new_stdout.getvalue().strip()
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# if "LiteDebugger: Pre-API Call Logging" not in output:
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# raise Exception("LiteLLMDebugger: pre-api call not logged!")
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# if "LiteDebugger: Post-API Call Logging" not in output:
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# raise Exception("LiteLLMDebugger: post-api call not logged!")
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# if "LiteDebugger: Success/Failure Call Logging" not in output:
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# raise Exception("LiteLLMDebugger: success/failure call not logged!")
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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