#### 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 = False
litellm.set_verbose = False

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 baseten completion call
try:
    response = completion(
        model="wizard-lm", messages=messages, stream=True, logger_fn=logger_fn
    )
    print(f"response: {response}")
    complete_response = ""
    start_time = time.time()
    for chunk in response:
        chunk_time = time.time()
        print(f"time since initial request: {chunk_time - start_time:.5f}")
        print(chunk["choices"][0]["delta"])
        complete_response += chunk["choices"][0]["delta"]["content"]
    if complete_response == "": 
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass

# test on openai completion call
try:
    response = completion(
        model="text-davinci-003", messages=messages, stream=True, logger_fn=logger_fn
    )
    complete_response = ""
    start_time = time.time()
    for chunk in response:
        chunk_time = time.time()
        print(f"chunk: {chunk}")
        complete_response += chunk["choices"][0]["delta"]["content"]
    if complete_response == "": 
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass

# # test on ai21 completion call
try:
    response = completion(
        model="j2-ultra", messages=messages, stream=True, logger_fn=logger_fn
    )
    print(f"response: {response}")
    complete_response = ""
    start_time = time.time()
    for chunk in response:
        chunk_time = time.time()
        print(f"time since initial request: {chunk_time - start_time:.5f}")
        print(chunk["choices"][0]["delta"])
        complete_response += chunk["choices"][0]["delta"]["content"]
    if complete_response == "": 
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass


# test on openai completion call
try:
    response = completion(
        model="gpt-3.5-turbo", messages=messages, stream=True, logger_fn=logger_fn
    )
    complete_response = ""
    start_time = time.time()
    for chunk in response:
        chunk_time = time.time() 
        print(f"time since initial request: {chunk_time - start_time:.5f}")
        print(chunk["choices"][0]["delta"])
        complete_response += chunk["choices"][0]["delta"]["content"]
    if complete_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 huggingface completion call
# try:
#     start_time = time.time()
#     response = completion(
#         model="gpt-3.5-turbo", messages=messages, stream=True, logger_fn=logger_fn
#     )
#     complete_response = ""
#     for chunk in response:
#         chunk_time = time.time()
#         print(f"time since initial request: {chunk_time - start_time:.2f}")
#         print(chunk["choices"][0]["delta"])
#         complete_response += chunk["choices"][0]["delta"]["content"] if len(chunk["choices"][0]["delta"].keys()) > 0 else ""
#     if complete_response == "":
#         raise Exception("Empty response received")
# except:
#     print(f"error occurred: {traceback.format_exc()}")
#     pass

# test on together ai completion call - replit-code-3b
try:
    start_time = time.time()
    response = completion(
        model="Replit-Code-3B", messages=messages, logger_fn=logger_fn, stream=True
    )
    complete_response = ""
    print(f"returned response object: {response}")
    for chunk in response:
        chunk_time = time.time()
        print(f"time since initial request: {chunk_time - start_time:.2f}")
        print(chunk["choices"][0]["delta"])
        complete_response += (
            chunk["choices"][0]["delta"]["content"]
            if len(chunk["choices"][0]["delta"].keys()) > 0
            else ""
        )
    if complete_response == "":
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass

# # test on together ai completion call - starcoder
try:
    start_time = time.time()
    response = completion(
        model="together_ai/bigcode/starcoder",
        messages=messages,
        logger_fn=logger_fn,
        stream=True,
    )
    complete_response = ""
    print(f"returned response object: {response}")
    for chunk in response:
        chunk_time = time.time()
        complete_response += (
            chunk["choices"][0]["delta"]["content"]
            if len(chunk["choices"][0]["delta"].keys()) > 0
            else ""
        )
        if len(complete_response) > 0:
            print(complete_response)
    if complete_response == "":
        raise Exception("Empty response received")
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass