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import os
import json
import yaml
import base64
import joblib
from typing import Any
from pathlib import Path
from box import ConfigBox
from ensure import ensure_annotations
from box.exceptions import BoxValueError
from kidney_classification import logger
@ensure_annotations
def read_yaml(path_to_yaml: Path) -> ConfigBox:
"""reads yaml file and returns
Args:
path_to_yaml (str): path like input
Raises:
ValueError: if yaml file is empty
e: empty file
Returns:
ConfigBox: ConfigBox type
"""
try:
with open(path_to_yaml) as yaml_file:
content = yaml.safe_load(yaml_file)
logger.info(f"yaml file: {path_to_yaml} loaded successfully")
return ConfigBox(content)
except BoxValueError:
raise ValueError("yaml file is empty")
except Exception as e:
raise e
@ensure_annotations
def create_directories(path_to_directories: list, verbose=True):
"""create list of directories
Args:
path_to_directories (list): list of path of directories
ignore_log (bool, optional): ignore if multiple dirs is to be created. Defaults to False.
"""
for path in path_to_directories:
if not os.path.exists(path):
os.makedirs(path)
if verbose:
logger.info(f"created directory at: {path}")
else:
continue
def decodeImage(imgstring, fileName):
imgdata = base64.b64decode(imgstring)
with open(fileName, "wb") as f:
f.write(imgdata)
f.close()
def encodeImageIntoBase64(croppedImagePath):
with open(croppedImagePath, "rb") as f:
return base64.b64encode(f.read())
@ensure_annotations
def save_json(path: Path, data: dict):
"""save json data
Args:
path (Path): path to json file
data (dict): data to be saved in json file
"""
with open(path, "w") as f:
json.dump(data, f, indent=4)
logger.info(f"json file saved at: {path}")
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