LittlePaimon/utils/file_handler.py

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import json
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from pathlib import Path
from typing import Union, Optional, Tuple
from ssl import SSLCertVerificationError
from PIL import Image
from utils import aiorequests
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def load_image(
path: Union[Path, str],
*,
size: Optional[Union[Tuple[int, int], float]] = None,
crop: Optional[Tuple[int, int, int, int]] = None,
mode: Optional[str] = None,
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):
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"""
说明
读取图像并预处理
参数
:param path: 图片路径
:param size: 预处理尺寸
:param crop: 预处理裁剪大小
:param mode: 预处理图像模式
:return: 图像对象
"""
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img = Image.open(path)
if size:
if isinstance(size, float):
img = img.resize((int(img.size[0] * size), int(img.size[1] * size)), Image.ANTIALIAS)
elif isinstance(size, tuple):
img = img.resize(size, Image.ANTIALIAS)
if crop:
img = img.crop(crop)
if mode:
img = img.convert(mode)
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return img
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def load_json(file: str = None, path: Union[Path, str] = None, encoding: str = 'utf-8') -> dict:
"""
说明
读取本地json文件返回json字典file和path参数2选1即可file需为data/LittlePaimon中的文件path哪的文件都行
参数
:param file: 文件名
:param path: 文件路径
:param encoding: 编码默认为utf-8
:return: json字典
"""
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if file and not path:
path = Path() / 'data' / 'LittlePaimon' / file
elif path:
if isinstance(path, str):
path = Path(path)
if not path.exists():
save_json({}, file, path, encoding)
return json.load(path.open('r', encoding=encoding))
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async def load_json_from_url(url: str, path: Union[Path, str] = None, force_refresh: bool = False) -> dict:
"""
从网络url中读取json当有path参数时如果path文件不存在就会从url下载保存到path如果path文件存在则直接读取path
:param url: url
:param path: 本地json文件路径
:param force_refresh: 是否强制重新下载
:return: json字典
"""
if path and Path(path).exists() and not force_refresh:
return load_json(path=path)
else:
try:
resp = await aiorequests.get(url)
except SSLCertVerificationError:
resp = await aiorequests.get(url.replace('https', 'http'))
data = resp.json()
if path and not Path(path).exists():
save_json(data=data, path=path)
return data
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def save_json(data, file: str = None, path: Union[Path, str] = None, encoding: str = 'utf-8'):
if file and not path:
path = Path() / 'data' / 'LittlePaimon' / file
elif path:
if isinstance(path, str):
path = Path(path)
path.parent.mkdir(parents=True, exist_ok=True)
json.dump(data, path.open('w', encoding=encoding), ensure_ascii=False, indent=4)