#### What this tests ####
#    This tests streaming for the completion endpoint

import sys, os
import traceback
import time 
sys.path.insert(
    0, os.path.abspath("../..")
)  # Adds the parent directory to the system path
import litellm
from litellm import completion
litellm.logging = True
litellm.set_verbose = True

score = 0


def logger_fn(model_call_object: dict):
    print(f"model call details: {model_call_object}")


user_message = "Hello, how are you?"
messages = [{"content": user_message, "role": "user"}]

# test on openai completion call
try:
    response = completion(
        model="gpt-3.5-turbo", messages=messages, stream=True, logger_fn=logger_fn
    )
    response = ""
    start_time = time.time()
    for chunk in response:
        chunk_time = time.time() 
        print(f"time since initial request: {chunk_time - start_time:.2f}")
        print(chunk["choices"][0]["delta"])
        response += chunk["choices"][0]["delta"]
    if response == "": 
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass


# test on azure completion call
try:
    response = completion(
        model="azure/chatgpt-test", messages=messages, stream=True, logger_fn=logger_fn
    )
    response = ""
    start_time = time.time()
    for chunk in response:
        chunk_time = time.time() 
        print(f"time since initial request: {chunk_time - start_time:.2f}")
        print(chunk["choices"][0]["delta"])
        response += chunk["choices"][0]["delta"]
    if response == "": 
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass


# test on anthropic completion call
try:
    response = completion(
        model="claude-instant-1", messages=messages, stream=True, logger_fn=logger_fn
    )
    response = ""
    start_time = time.time()
    for chunk in response:
        chunk_time = time.time() 
        print(f"time since initial request: {chunk_time - start_time:.2f}")
        print(chunk["choices"][0]["delta"])
        response += chunk["choices"][0]["delta"]
    if response == "": 
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass


# # test on huggingface completion call
# try:
#     response = completion(
#         model="meta-llama/Llama-2-7b-chat-hf",
#         messages=messages,
#         custom_llm_provider="huggingface",
#         custom_api_base="https://s7c7gytn18vnu4tw.us-east-1.aws.endpoints.huggingface.cloud",
#         stream=True,
#         logger_fn=logger_fn,
#     )
#     for chunk in response:
#         print(chunk["choices"][0]["delta"])
#     score += 1
# except:
#     print(f"error occurred: {traceback.format_exc()}")
#     pass