import os
from urllib.parse import urljoin
import requests

from memgpt.local_llm.settings.settings import get_completions_settings
from memgpt.local_llm.utils import load_grammar_file, count_tokens

WEBUI_API_SUFFIX = "/v1/completions"


def get_webui_completion(endpoint, prompt, context_window, grammar=None):
    """Compatibility for the new OpenAI API: https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples"""
    from memgpt.utils import printd

    prompt_tokens = count_tokens(prompt)
    if prompt_tokens > context_window:
        raise Exception(f"Request exceeds maximum context length ({prompt_tokens} > {context_window} tokens)")

    # Settings for the generation, includes the prompt + stop tokens, max length, etc
    settings = get_completions_settings()
    request = settings
    request["prompt"] = prompt
    request["truncation_length"] = context_window
    request["max_tokens"] = int(context_window - prompt_tokens)
    request["max_new_tokens"] = int(context_window - prompt_tokens)  # safety backup to "max_tokens", shouldn't matter

    # Set grammar
    if grammar is not None:
        request["grammar_string"] = load_grammar_file(grammar)

    if not endpoint.startswith(("http://", "https://")):
        raise ValueError(f"Endpoint value ({endpoint}) must begin with http:// or https://")

    try:
        URI = urljoin(endpoint.strip("/") + "/", WEBUI_API_SUFFIX.strip("/"))
        response = requests.post(URI, json=request)
        if response.status_code == 200:
            result_full = response.json()
            printd(f"JSON API response:\n{result_full}")
            result = result_full["choices"][0]["text"]
            usage = result_full.get("usage", None)
        else:
            raise Exception(
                f"API call got non-200 response code (code={response.status_code}, msg={response.text}) for address: {URI}."
                + f" Make sure that the web UI server is running and reachable at {URI}."
            )

    except:
        # TODO handle gracefully
        raise

    # Pass usage statistics back to main thread
    # These are used to compute memory warning messages
    completion_tokens = usage.get("completion_tokens", None) if usage is not None else None
    total_tokens = prompt_tokens + completion_tokens if completion_tokens is not None else None
    usage = {
        "prompt_tokens": prompt_tokens,  # can grab from usage dict, but it's usually wrong (set to 0)
        "completion_tokens": completion_tokens,
        "total_tokens": total_tokens,
    }

    return result, usage