forked from phoenix/litellm-mirror
(feat) add langfuse logging tests to ci/cd
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1 changed files with 17 additions and 10 deletions
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@ -18,7 +18,7 @@ import time
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import pytest
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def search_logs(log_file_path):
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def search_logs(log_file_path, num_good_logs=1):
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"""
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Searches the given log file for logs containing the "/api/public" string.
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@ -48,12 +48,17 @@ def search_logs(log_file_path):
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print(line.strip())
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print("\n\n")
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match = re.search(
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r"receive_response_headers.complete return_value=\(b\'HTTP/1.1\', (\d+),",
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r'"POST /api/public/ingestion HTTP/1.1" (\d+) (\d+)',
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line,
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)
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if match:
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status_code = int(match.group(1))
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if status_code != 200 and status_code != 201:
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print("STATUS CODE", status_code)
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if (
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status_code != 200
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and status_code != 201
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and status_code != 207
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):
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print("got a BAD log")
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bad_logs.append(line.strip())
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else:
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@ -62,7 +67,9 @@ def search_logs(log_file_path):
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print(bad_logs)
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if len(bad_logs) > 0:
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raise Exception(f"bad logs, Bad logs = {bad_logs}")
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assert (
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len(good_logs) == num_good_logs
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), f"Did not get expected number of good logs, expected {num_good_logs}, got {len(good_logs)}. All logs \n {all_logs}"
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print("\nGood Logs")
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print(good_logs)
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if len(good_logs) <= 0:
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@ -92,28 +99,28 @@ def pre_langfuse_setup():
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return
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@pytest.mark.skip(reason="beta test - checking langfuse output")
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def test_langfuse_logging_async():
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try:
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pre_langfuse_setup()
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litellm.set_verbose = True
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async def _test_langfuse():
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return await litellm.acompletion(
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model="gpt-3.5-turbo",
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response = await litellm.acompletion(
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model="azure/chatgpt-v-2",
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messages=[{"role": "user", "content": "This is a test"}],
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max_tokens=100,
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temperature=0.7,
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timeout=5,
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user="test_user",
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)
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asyncio.sleep(1)
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return response
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response = asyncio.run(_test_langfuse())
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print(f"response: {response}")
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# time.sleep(2)
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# # check langfuse.log to see if there was a failed response
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# search_logs("langfuse.log")
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search_logs("langfuse.log")
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except litellm.Timeout as e:
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pass
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except Exception as e:
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@ -297,4 +304,4 @@ def test_langfuse_logging_tool_calling():
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tool_calls = response.choices[0].message.tool_calls
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test_langfuse_logging_tool_calling()
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# test_langfuse_logging_tool_calling()
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