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tsale-EDR-Telemetry/Tools/convert.py
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2024-05-22 11:16:02 -07:00

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import pandas as pd
import argparse
parser = argparse.ArgumentParser(
description='Convert from JSON to CSV and the other way around')
parser.add_argument(
'-i',
'--input_file',
help='The input file to convert depending on the extension',
required=True)
args = parser.parse_args()
input_file = args.input_file
def replace_to_words(file):
# Replace the target words with the replacement words
words_to_replace = {
"\u2705": "Yes", # ✅ Implemented
"\u274C": "No", # ❌ Not Implemented
"\u26A0\uFE0F": "Partially", # ⚠️ Partially Implemented
"\u2753": "Pending Response", # ❓ Pending Response
"\uD83E\uDEB5" : "Via EventLogs", # 🪵 Via EventLogs
"\ud83c\udf9a" : "Via EnablingTelemetry" # 🎚️ Via EnablingTelemetry
}
# Read the JSON file
with open(file, "rb") as f:
data = f.read()
data = data.decode("unicode_escape")
for key,value in words_to_replace.items():
if key in data:
data = data.replace(key,value)
try:
with open(file, 'w+',errors="ignore") as f:
# Writing the replaced data in our
# text file
f.write(data)
except PermissionError:
print(PermissionError)
pass
else:
pass
def replace_from_words(file):
# Replace the target words with the replacement words
words_to_replace = {
"Yes": "",
"No" : "",
"Partially" : "⚠️",
"N/A" : "",
"Pending Response" : "",
"Via EventLogs" : "🪵",
"Via EnablingTelemetry" : "🎚️"
#Add more words as needed
}
# Read the CSV file
with open(file, "r") as f:
data = f.read()
for key,value in words_to_replace.items():
if key in data:
data = data.replace(key,value)
try:
with open(file, 'w',encoding='utf-8') as f:
# Writing the replaced data in our
# text file
f.write(data)
except PermissionError:
print(PermissionError)
pass
else:
pass
def to_json(input_file):
df = pd.read_csv(input_file)
input_file = input_file.split(".")[0] + ".json"
df.to_json(input_file, orient='records', indent=2)
replace_to_words(input_file)
print(f"\n [*] Successfully converted to {input_file}\n")
def to_csv(input_file):
df = pd.read_json(input_file)
df1 = df[['Telemetry Feature Category', 'Sub-Category']]
df2 = df.drop(['Telemetry Feature Category', 'Sub-Category'], axis=1)
df2.sort_index(axis=1, level=None, sort_remaining=False, inplace=True)
df = pd.concat([df1, df2], axis="columns")
input_file = input_file.split(".")[0] + ".csv"
df.to_csv(input_file, index=False)
replace_from_words(input_file)
print(f"\n [*] Successfully converted to {input_file}\n")
if __name__ == '__main__':
try:
if input_file.endswith('.csv'):
to_json(input_file)
elif input_file.endswith('.json'):
to_csv(input_file)
except Exception as error:
print("\n\t[*] ", error)