ai-content-maker/.venv/Lib/site-packages/openai/cli/_progress.py

60 lines
1.4 KiB
Python

from __future__ import annotations
import io
from typing import Callable
from typing_extensions import override
class CancelledError(Exception):
def __init__(self, msg: str) -> None:
self.msg = msg
super().__init__(msg)
@override
def __str__(self) -> str:
return self.msg
__repr__ = __str__
class BufferReader(io.BytesIO):
def __init__(self, buf: bytes = b"", desc: str | None = None) -> None:
super().__init__(buf)
self._len = len(buf)
self._progress = 0
self._callback = progress(len(buf), desc=desc)
def __len__(self) -> int:
return self._len
@override
def read(self, n: int | None = -1) -> bytes:
chunk = io.BytesIO.read(self, n)
self._progress += len(chunk)
try:
self._callback(self._progress)
except Exception as e: # catches exception from the callback
raise CancelledError("The upload was cancelled: {}".format(e)) from e
return chunk
def progress(total: float, desc: str | None) -> Callable[[float], None]:
import tqdm
meter = tqdm.tqdm(total=total, unit_scale=True, desc=desc)
def incr(progress: float) -> None:
meter.n = progress
if progress == total:
meter.close()
else:
meter.refresh()
return incr
def MB(i: int) -> int:
return int(i // 1024**2)