import dataclasses
import logging
import math
import os
import io
import sys
import time
import json
from typing import Optional, Sequence, Union

import openai
import tqdm
from openai import openai_object
import copy

StrOrOpenAIObject = Union[str, openai_object.OpenAIObject]

openai_org = os.getenv("OPENAI_ORG")
if openai_org is not None:
    openai.organization = openai_org
    logging.warning(f"Switching to organization: {openai_org} for OAI API key.")


@dataclasses.dataclass
class OpenAIDecodingArguments(object):
    max_tokens: int = 1800
    temperature: float = 0.2
    top_p: float = 1.0
    n: int = 1
    stream: bool = False
    stop: Optional[Sequence[str]] = None
    presence_penalty: float = 0.0
    frequency_penalty: float = 0.0
    suffix: Optional[str] = None
    logprobs: Optional[int] = None
    echo: bool = False



def _make_w_io_base(f, mode: str):
    if not isinstance(f, io.IOBase):
        f_dirname = os.path.dirname(f)
        if f_dirname != "":
            os.makedirs(f_dirname, exist_ok=True)
        f = open(f, mode=mode)
    return f


def _make_r_io_base(f, mode: str):
    if not isinstance(f, io.IOBase):
        f = open(f, mode=mode)
    return f


def jdump(obj, f, mode="w", indent=4, default=str):
    """Dump a str or dictionary to a file in json format.
    Args:
        obj: An object to be written.
        f: A string path to the location on disk.
        mode: Mode for opening the file.
        indent: Indent for storing json dictionaries.
        default: A function to handle non-serializable entries; defaults to `str`.
    """
    f = _make_w_io_base(f, mode)
    if isinstance(obj, (dict, list)):
        json.dump(obj, f, indent=indent, default=default)
    elif isinstance(obj, str):
        f.write(obj)
    else:
        raise ValueError(f"Unexpected type: {type(obj)}")
    f.close()


def jload(f, mode="r"):
    """Load a .json file into a dictionary."""
    f = _make_r_io_base(f, mode)
    jdict = json.load(f)
    f.close()
    return jdict