import re

def filter_data(filepath, keywords):

"""

Filters data from a file based on specified keywords.

Args:

filepath (str): Path to the input file.

keywords (list): A list of keywords to filter for.

Returns:

list: A list of lines from the file containing at least one keyword.

Returns an empty list if file not found or if no keywords are provided.

"""

if not keywords:

return []

try:

with open(filepath, 'r') as f:

lines = f.readlines()

except FileNotFoundError:

print(f"Error: File not found at {filepath}")

return []

filtered_lines = []

for line in lines:

# Convert line to lowercase for case-insensitive matching

line_lower = line.lower()

for keyword in keywords:

if re.search(r'\b' + re.escape(keyword.lower()) + r'\b', line_lower): # Use regex for word boundary

filtered_lines.append(line.strip()) # Add line, removing leading/trailing whitespace

break # Avoid adding the same line multiple times if multiple keywords match

return filtered_lines

if __name__ == '__main__':

#Example Usage

filepath = "data.txt" # Replace with your file path

keywords = ["apple", "banana", "orange"]

#Create a dummy data.txt file for testing

with open(filepath, "w") as f:

f.write("This is an apple.\n")

f.write("I like banana smoothies.\n")

f.write("Orange juice is refreshing.\n")

f.write("This line has nothing.\n")

f.write("Apple pie is delicious.\n")

filtered_data = filter_data(filepath, keywords)

if filtered_data:

for line in filtered_data:

print(line)

else:

print("No matching data found.")