gpt4free/g4f/providers/helper.py

from __future__ import annotations

import random
import string

from ..typing import Messages

def format_prompt(messages: Messages, add_special_tokens=False) -> str:
    """
    Format a series of messages into a single string, optionally adding special tokens.

    Args:
        messages (Messages): A list of message dictionaries, each containing 'role' and 'content'.
        add_special_tokens (bool): Whether to add special formatting tokens.

    Returns:
        str: A formatted string containing all messages.
    """
    if not add_special_tokens and len(messages) <= 1:
        return messages[0]["content"]
    formatted = "\n".join([
        f'{message["role"].capitalize()}: {message["content"]}'
        for message in messages
    ])
    return f"{formatted}\nAssistant:"

def get_random_string(length: int = 10) -> str:
    """
    Generate a random string of specified length, containing lowercase letters and digits.

    Args:
        length (int, optional): Length of the random string to generate. Defaults to 10.

    Returns:
        str: A random string of the specified length.
    """
    return ''.join(
        random.choice(string.ascii_lowercase + string.digits)
        for _ in range(length)
    )

def get_random_hex(length: int = 32) -> str:
    """
    Generate a random hexadecimal string with n length.

    Returns:
        str: A random hexadecimal string of n characters.
    """
    return ''.join(
        random.choice("abcdef" + string.digits)
        for _ in range(length)
    )

def filter_none(**kwargs) -> dict:
    return {
        key: value
        for key, value in kwargs.items()
        if value is not None
    }