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import os
from box.exceptions import BoxValueError
import yaml
from cnnClassifier import logger
import json
import joblib
from ensure import ensure_annotations
from box import ConfigBox
from pathlib import Path
from typing import Any
import base64
@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:
os.makedirs(path, exist_ok=True)
if verbose:
logger.info(f'Created directory at: {path}')
@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}')
@ensure_annotations
def load_json(path: Path) -> ConfigBox:
"""load json files data
Args:
path (Path): path to json file
Returns:
ConfigBox: data as class attributes instead of dict
"""
with open(path, 'r') as f:
content = json.load(f)
logger.info(f"Json file loaded successfully from: {path}")
return ConfigBox
@ensure_annotations
def save_bin(data: Any, path: Path):
"""save binary file
Args:
data (Any): data to be saved as binary
path (Path): path to binary file
"""
joblib.dump(value=data, filename=path)
logger.info(f'binary file saved at: {path}')
@ensure_annotations
def load_bin(path: Path) -> ConfigBox:
"""load binary data
Args:
path (Path): path to binary file
Returns:
Any: object stored in the file
"""
data = joblib.load(path)
logger.info(f'binary file has been loaded successfully from : {path}')
return data
@ensure_annotations
def get_size(path: Path) -> str:
'''
get size in KB
Args:
Path (Path): path of the file
Returns:
str: size in KB'''
size_in_kb = round(os.path.getsize(path)/1024)
return f"~ {size_in_kb} KB"
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.b64decode(f.read()) |