extensions/openai/utils.py

import base64
import os
import time
import traceback
from typing import Callable, Optional

import numpy as np


def float_list_to_base64(float_array: np.ndarray) -> str:
    # Convert the list to a float32 array that the OpenAPI client expects
    # float_array = np.array(float_list, dtype="float32")

    # Get raw bytes
    bytes_array = float_array.tobytes()

    # Encode bytes into base64
    encoded_bytes = base64.b64encode(bytes_array)

    # Turn raw base64 encoded bytes into ASCII
    ascii_string = encoded_bytes.decode('ascii')
    return ascii_string


def debug_msg(*args, **kwargs):
    from extensions.openai.script import params
    if os.environ.get("OPENEDAI_DEBUG", params.get('debug', 0)):
        print(*args, **kwargs)


def _start_cloudflared(port: int, tunnel_id: str, max_attempts: int = 3, on_start: Optional[Callable[[str], None]] = None):
    try:
        from flask_cloudflared import _run_cloudflared
    except ImportError:
        print('You should install flask_cloudflared manually')
        raise Exception(
            'flask_cloudflared not installed. Make sure you installed the requirements.txt for this extension.')

    for _ in range(max_attempts):
        try:
            if tunnel_id is not None:
                public_url = _run_cloudflared(port, port + 1, tunnel_id=tunnel_id)
            else:
                public_url = _run_cloudflared(port, port + 1)

            if on_start:
                on_start(public_url)

            return
        except Exception:
            traceback.print_exc()
            time.sleep(3)

        raise Exception('Could not start cloudflared.')