Spaces:
Sleeping
Sleeping
Add script to transform legitimate URLs for phishing detection
Browse files
src/phising_detection/utils/hopsworks_utils.py
CHANGED
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@@ -69,10 +69,6 @@ def get_or_create_feature_group(
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project,
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name: str,
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version: int = 1,
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description: str = "",
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primary_key: list = None,
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event_time: Optional[str] = None,
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online_enabled: bool = False
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):
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"""
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Get existing feature group or create new one if it doesn't exist.
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project,
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name: str,
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version: int = 1,
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):
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"""
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Get existing feature group or create new one if it doesn't exist.
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temporary_examples/transform_legit_urls_to_hopsworks.py
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"""Script to retrieve legitimate URLs from Hopsworks, transform them to match phishing URL format, and upload."""
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import sys
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from pathlib import Path
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import json
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import argparse
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import pandas as pd
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project_root = Path(__file__).parent.parent
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sys.path.insert(0, str(project_root / "src"))
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from phising_detection.utils.hopsworks_utils import (
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connect_to_hopsworks,
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upload_dataframe_to_feature_group,
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get_or_create_feature_group
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)
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import hopsworks
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# Connect and read feature group
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project = hopsworks.login()
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fs = project.get_feature_store(name='simbe200_featurestore')
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fg = fs.get_feature_group('scan_progress_legit_urls', version=4)
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df = fg.read()
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print("Original feature group data:")
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print(df.head(5))
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print(f"\nDataFrame shape: {df.shape}")
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# Extract all URLs from the JSON-serialized 'urls' column
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all_urls = []
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for _, row in df.iterrows():
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# Deserialize the JSON string to get the list of URLs
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urls_list = json.loads(row['urls'])
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all_urls.extend(urls_list)
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print(f"\nTotal URLs extracted: {len(all_urls)}")
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# Create new DataFrame matching phishing URL format
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legit_urls_df = pd.DataFrame({
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'url_id': range(len(all_urls)),
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'url': all_urls,
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'is_phishing': 0 # 0 for legitimate URLs
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})
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get_or_create_feature_group(project, 'legit_urls_before_scan', version=1)
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upload_dataframe_to_feature_group(
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project=project,
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df=legit_urls_df,
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feature_group_name='legit_urls_before_scan',
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version=1,
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description='Legitimate URLs formatted for phishing detection',
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primary_key=['url_id'],
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event_time=None,
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online_enabled=False
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)
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