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56c7b6d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 | """
Helper Utilities
This module provides utility functions used across the application.
"""
import os
import re
import logging
from datetime import datetime
import pandas as pd
logger = logging.getLogger(__name__)
def ensure_directory_exists(directory_path):
"""
Ensure that a directory exists, creating it if necessary.
Args:
directory_path (str): Path to the directory.
Returns:
bool: True if the directory exists or was created, False otherwise.
"""
try:
os.makedirs(directory_path, exist_ok=True)
return True
except Exception as e:
logger.error(f"Error creating directory {directory_path}: {str(e)}")
return False
def generate_filename(prefix, extension, include_date=True):
"""
Generate a filename with an optional date component.
Args:
prefix (str): Prefix for the filename.
extension (str): File extension (without the dot).
include_date (bool): Whether to include the date in the filename.
Returns:
str: Generated filename.
"""
if include_date:
today_date = datetime.today().strftime("%Y-%m-%d")
return f"{prefix}_{today_date}.{extension}"
return f"{prefix}.{extension}"
def sanitize_filename(filename):
"""
Sanitize a filename by removing invalid characters.
Args:
filename (str): Filename to sanitize.
Returns:
str: Sanitized filename.
"""
# Replace invalid characters with underscores
return re.sub(r'[\\/*?:"<>|]', "_", filename)
def load_excel_file(file_path):
"""
Load data from an Excel file into a pandas DataFrame.
Args:
file_path (str): Path to the Excel file.
Returns:
DataFrame or None: Loaded DataFrame or None if an error occurred.
"""
try:
return pd.read_excel(file_path)
except Exception as e:
logger.error(f"Error loading Excel file {file_path}: {str(e)}")
return None
def save_excel_file(df, file_path):
"""
Save a pandas DataFrame to an Excel file.
Args:
df (DataFrame): DataFrame to save.
file_path (str): Path to save the Excel file.
Returns:
bool: True if the file was saved successfully, False otherwise.
"""
try:
df.to_excel(file_path, index=False)
logger.info(f"Saved Excel file to {file_path}")
return True
except Exception as e:
logger.error(f"Error saving Excel file {file_path}: {str(e)}")
return False
def extract_text_from_docx(file_path):
"""
Extract text from a Word document.
Args:
file_path (str): Path to the Word document.
Returns:
str or None: Extracted text or None if an error occurred.
"""
try:
from docx import Document
doc = Document(file_path)
return "\n".join([paragraph.text for paragraph in doc.paragraphs])
except Exception as e:
logger.error(f"Error extracting text from Word document {file_path}: {str(e)}")
return None
def format_job_title(title):
"""
Format a job title for display or filename purposes.
Args:
title (str): Job title to format.
Returns:
str: Formatted job title.
"""
# Remove extra whitespace
title = re.sub(r'\s+', ' ', title.strip())
# Capitalize first letter of each word
title = title.title()
return title
def format_company_name(company):
"""
Format a company name for display or filename purposes.
Args:
company (str): Company name to format.
Returns:
str: Formatted company name.
"""
# Remove extra whitespace
company = re.sub(r'\s+', ' ', company.strip())
# Replace spaces with underscores for filenames
company = company.replace(' ', '_')
return company |