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refactor: add black formatting

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This commit is contained in:
Krrish Dholakia 2023-12-25 14:10:38 +05:30
parent b87d630b0a
commit 4905929de3
156 changed files with 19723 additions and 10869 deletions
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164
litellm/tests/test_proxy_custom_logger.py
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@ -9,7 +9,7 @@ import os, io, asyncio
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
) # Adds the parent directory to the system path
import pytest
import litellm
from litellm import embedding, completion, completion_cost, Timeout
@ -19,16 +19,22 @@ import importlib, inspect
# test /chat/completion request to the proxy
from fastapi.testclient import TestClient
from fastapi import FastAPI
from litellm.proxy.proxy_server import router, save_worker_config, initialize # Replace with the actual module where your FastAPI router is defined
from litellm.proxy.proxy_server import (
router,
save_worker_config,
initialize,
) # Replace with the actual module where your FastAPI router is defined
filepath = os.path.dirname(os.path.abspath(__file__))
python_file_path = f"{filepath}/test_configs/custom_callbacks.py"
# @app.on_event("startup")
# async def wrapper_startup_event():
# initialize(config=config_fp)
# initialize(config=config_fp)
# Use the app fixture in your client fixture
@pytest.fixture
def client():
filepath = os.path.dirname(os.path.abspath(__file__))
@ -38,25 +44,23 @@ def client():
app.include_router(router) # Include your router in the test app
return TestClient(app)
# Your bearer token
token = os.getenv("PROXY_MASTER_KEY")
headers = {
"Authorization": f"Bearer {token}"
}
headers = {"Authorization": f"Bearer {token}"}
print("Testing proxy custom logger")
def test_embedding(client):
try:
litellm.set_verbose=False
litellm.set_verbose = False
from litellm.proxy.utils import get_instance_fn
my_custom_logger = get_instance_fn(
value = "custom_callbacks.my_custom_logger",
config_file_path=python_file_path
value="custom_callbacks.my_custom_logger", config_file_path=python_file_path
)
print("id of initialized custom logger", id(my_custom_logger))
litellm.callbacks = [my_custom_logger]
@ -69,26 +73,50 @@ def test_embedding(client):
print("my_custom_logger", my_custom_logger)
assert my_custom_logger.async_success_embedding == False
test_data = {
"model": "azure-embedding-model",
"input": ["hello"]
}
test_data = {"model": "azure-embedding-model", "input": ["hello"]}
response = client.post("/embeddings", json=test_data, headers=headers)
print("made request", response.status_code, response.text)
print("vars my custom logger /embeddings", vars(my_custom_logger), "id", id(my_custom_logger))
assert my_custom_logger.async_success_embedding == True # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert my_custom_logger.async_embedding_kwargs["model"] == "azure-embedding-model" # checks if kwargs passed to async_log_success_event are correct
print(
"vars my custom logger /embeddings",
vars(my_custom_logger),
"id",
id(my_custom_logger),
)
assert (
my_custom_logger.async_success_embedding == True
) # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert (
my_custom_logger.async_embedding_kwargs["model"] == "azure-embedding-model"
) # checks if kwargs passed to async_log_success_event are correct
kwargs = my_custom_logger.async_embedding_kwargs
litellm_params = kwargs.get("litellm_params")
metadata = litellm_params.get("metadata", None)
print("\n\n Metadata in custom logger kwargs", litellm_params.get("metadata"))
assert metadata is not None
assert "user_api_key" in metadata
assert "headers" in metadata
assert "headers" in metadata
proxy_server_request = litellm_params.get("proxy_server_request")
model_info = litellm_params.get("model_info")
assert proxy_server_request == {'url': 'http://testserver/embeddings', 'method': 'POST', 'headers': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient', 'authorization': 'Bearer sk-1234', 'content-length': '54', 'content-type': 'application/json'}, 'body': {'model': 'azure-embedding-model', 'input': ['hello']}}
assert model_info == {'input_cost_per_token': 0.002, 'mode': 'embedding', 'id': 'hello'}
assert proxy_server_request == {
"url": "http://testserver/embeddings",
"method": "POST",
"headers": {
"host": "testserver",
"accept": "*/*",
"accept-encoding": "gzip, deflate",
"connection": "keep-alive",
"user-agent": "testclient",
"authorization": "Bearer sk-1234",
"content-length": "54",
"content-type": "application/json",
},
"body": {"model": "azure-embedding-model", "input": ["hello"]},
}
assert model_info == {
"input_cost_per_token": 0.002,
"mode": "embedding",
"id": "hello",
}
result = response.json()
print(f"Received response: {result}")
print("Passed Embedding custom logger on proxy!")
@ -98,12 +126,12 @@ def test_embedding(client):
def test_chat_completion(client):
try:
# Your test data
litellm.set_verbose=False
# Your test data
litellm.set_verbose = False
from litellm.proxy.utils import get_instance_fn
my_custom_logger = get_instance_fn(
value = "custom_callbacks.my_custom_logger",
config_file_path=python_file_path
value="custom_callbacks.my_custom_logger", config_file_path=python_file_path
)
print("id of initialized custom logger", id(my_custom_logger))
@ -121,36 +149,66 @@ def test_chat_completion(client):
test_data = {
"model": "Azure OpenAI GPT-4 Canada",
"messages": [
{
"role": "user",
"content": "write a litellm poem"
},
{"role": "user", "content": "write a litellm poem"},
],
"max_tokens": 10,
}
response = client.post("/chat/completions", json=test_data, headers=headers)
print("made request", response.status_code, response.text)
print("LiteLLM Callbacks", litellm.callbacks)
asyncio.sleep(1) # sleep while waiting for callback to run
asyncio.sleep(1) # sleep while waiting for callback to run
print("my_custom_logger in /chat/completions", my_custom_logger, "id", id(my_custom_logger))
print(
"my_custom_logger in /chat/completions",
my_custom_logger,
"id",
id(my_custom_logger),
)
print("vars my custom logger, ", vars(my_custom_logger))
assert my_custom_logger.async_success == True # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert my_custom_logger.async_completion_kwargs["model"] == "chatgpt-v-2" # checks if kwargs passed to async_log_success_event are correct
print("\n\n Custom Logger Async Completion args", my_custom_logger.async_completion_kwargs)
assert (
my_custom_logger.async_success == True
) # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert (
my_custom_logger.async_completion_kwargs["model"] == "chatgpt-v-2"
) # checks if kwargs passed to async_log_success_event are correct
print(
"\n\n Custom Logger Async Completion args",
my_custom_logger.async_completion_kwargs,
)
litellm_params = my_custom_logger.async_completion_kwargs.get("litellm_params")
metadata = litellm_params.get("metadata", None)
print("\n\n Metadata in custom logger kwargs", litellm_params.get("metadata"))
assert metadata is not None
assert "user_api_key" in metadata
assert "headers" in metadata
assert "headers" in metadata
config_model_info = litellm_params.get("model_info")
proxy_server_request_object = litellm_params.get("proxy_server_request")
assert config_model_info == {'id': 'gm', 'input_cost_per_token': 0.0002, 'mode': 'chat'}
assert proxy_server_request_object == {'url': 'http://testserver/chat/completions', 'method': 'POST', 'headers': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient', 'authorization': 'Bearer sk-1234', 'content-length': '123', 'content-type': 'application/json'}, 'body': {'model': 'Azure OpenAI GPT-4 Canada', 'messages': [{'role': 'user', 'content': 'write a litellm poem'}], 'max_tokens': 10}}
assert config_model_info == {
"id": "gm",
"input_cost_per_token": 0.0002,
"mode": "chat",
}
assert proxy_server_request_object == {
"url": "http://testserver/chat/completions",
"method": "POST",
"headers": {
"host": "testserver",
"accept": "*/*",
"accept-encoding": "gzip, deflate",
"connection": "keep-alive",
"user-agent": "testclient",
"authorization": "Bearer sk-1234",
"content-length": "123",
"content-type": "application/json",
},
"body": {
"model": "Azure OpenAI GPT-4 Canada",
"messages": [{"role": "user", "content": "write a litellm poem"}],
"max_tokens": 10,
},
}
result = response.json()
print(f"Received response: {result}")
print("\nPassed /chat/completions with Custom Logger!")
@ -161,40 +219,38 @@ def test_chat_completion(client):
def test_chat_completion_stream(client):
try:
# Your test data
litellm.set_verbose=False
litellm.set_verbose = False
from litellm.proxy.utils import get_instance_fn
my_custom_logger = get_instance_fn(
value = "custom_callbacks.my_custom_logger",
config_file_path=python_file_path
value="custom_callbacks.my_custom_logger", config_file_path=python_file_path
)
print("id of initialized custom logger", id(my_custom_logger))
litellm.callbacks = [my_custom_logger]
import json
print("initialized proxy")
# import the initialized custom logger
print(litellm.callbacks)
print("LiteLLM Callbacks", litellm.callbacks)
print("my_custom_logger", my_custom_logger)
assert my_custom_logger.streaming_response_obj == None # no streaming response obj is set pre call
assert (
my_custom_logger.streaming_response_obj == None
) # no streaming response obj is set pre call
test_data = {
"model": "Azure OpenAI GPT-4 Canada",
"messages": [
{
"role": "user",
"content": "write 1 line poem about LiteLLM"
},
{"role": "user", "content": "write 1 line poem about LiteLLM"},
],
"max_tokens": 40,
"stream": True # streaming call
"stream": True, # streaming call
}
response = client.post("/chat/completions", json=test_data, headers=headers)
print("made request", response.status_code, response.text)
complete_response = ""
@ -205,7 +261,7 @@ def test_chat_completion_stream(client):
print(line)
line = str(line)
json_data = line.replace('data: ', '')
json_data = line.replace("data: ", "")
# Parse the JSON string
data = json.loads(json_data)
@ -213,22 +269,24 @@ def test_chat_completion_stream(client):
print("\n\n decode_data", data)
# Access the content of choices[0]['message']['content']
content = data['choices'][0]['delta']['content'] or ""
content = data["choices"][0]["delta"]["content"] or ""
# Process the content as needed
print("Content:", content)
complete_response+= content
complete_response += content
print("\n\nHERE is the complete streaming response string", complete_response)
print("\n\nHERE IS the streaming Response from callback\n\n")
print(my_custom_logger.streaming_response_obj)
import time
time.sleep(0.5)
streamed_response = my_custom_logger.streaming_response_obj
assert complete_response == streamed_response["choices"][0]["message"]["content"]
assert (
complete_response == streamed_response["choices"][0]["message"]["content"]
)
except Exception as e:
pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")