Implement data loading utilities and example script for phishing detection

.gitattributes

@@ -1 +1 @@
-phishing-links-ACTIVE.txt filter=lfs diff=lfs merge=lfs -text
+src/phising_detection/data/phishing-links-ACTIVE.txt filter=lfs diff=lfs merge=lfs -text

examples/load_phishing_urls_example.py

@@ -0,0 +1,31 @@
+"""Example script showing how to load phishing URLs into a DataFrame."""
+
+import sys
+from pathlib import Path
+
+# Add src directory to Python path
+project_root = Path(__file__).parent.parent
+sys.path.insert(0, str(project_root / "src"))
+
+from phising_detection.data import load_phishing_urls
+
+# Load phishing URLs from the file
+df = load_phishing_urls("../src/phising_detection/data/phishing-links-ACTIVE.txt")
+
+# Display basic information
+print(f"Loaded {len(df)} phishing URLs")
+print(f"\nDataFrame shape: {df.shape}")
+print(f"\nColumn names: {df.columns.tolist()}")
+print("\nFirst 5 rows:")
+print(df.head())
+
+# Display summary statistics
+print("\nDataset info:")
+print(df.info())
+
+# Check for duplicates
+duplicates = df['url'].duplicated().sum()
+print(f"\nNumber of duplicate URLs: {duplicates}")
+
+# Save to CSV if needed
+# df.to_csv("data/phishing_urls.csv", index=False)

pyproject.toml

@@ -3,4 +3,14 @@ name = "phising-detection"
 version = "0.1.0"
 description = "Add your description here"
 requires-python = ">=3.12"
-dependencies = []
+dependencies = [
+    "pandas>=2.3.3",
+    "pandas-stubs==2.3.3.251219",
+]
+
+[dependency-groups]
+dev = [
+    "pytest>=9.0.2",
+    "pytest-cov>=7.0.0",
+]
+

src/phising_detection/data/__init__.py

@@ -1,3 +1,11 @@
 """Data preprocessing and feature store management."""
 
+from .load_data import (
+    load_phishing_urls,
+)
+
+__all__ = [
+    "load_phishing_urls",
+]
+
 

src/phising_detection/data/load_data.py

@@ -0,0 +1,47 @@
+"""Data loading utilities for phishing detection."""
+
+import pandas as pd
+from pathlib import Path
+from typing import Optional, Union
+
+
+def load_phishing_urls(
+    file_path: Union[str, Path] = None,
+    is_phishing: bool = True,
+) -> pd.DataFrame:
+    """
+    Load phishing URLs from a text file into a DataFrame.
+
+    Args:
+        file_path: Path to the file containing phishing URLs (one per line).
+                   If None, uses the default phishing-links-ACTIVE.txt in the data directory.
+        is_phishing: Whether to add a label column indicating phishing (default True)
+
+    Returns:
+        DataFrame with columns: url_id, url, and optionally is_phishing
+    """
+    if file_path is None:
+        # Default to the file in the same directory as this module
+        file_path = Path(__file__).parent / "phishing-links-ACTIVE.txt"
+    else:
+        file_path = Path(file_path)
+
+    if not file_path.exists():
+        raise FileNotFoundError(f"File not found: {file_path}")
+
+    # Read URLs from file
+    with open(file_path, 'r', encoding='utf-8') as f:
+        urls = [line.strip() for line in f if line.strip()]
+
+    # Create DataFrame
+    df = pd.DataFrame({
+        'url_id': range(len(urls)),
+        'url': urls,
+        'is_phishing': int(is_phishing)
+    })
+
+
+
+    return df
+
+

tests/conftest.py

@@ -0,0 +1,69 @@
+"""Pytest configuration and fixtures."""
+
+import pytest
+from pathlib import Path
+import tempfile
+
+
+@pytest.fixture
+def sample_phishing_urls():
+    """Sample phishing URLs for testing."""
+    return [
+        "http://fake-bank-login.malicious.com/signin",
+        "http://paypal-verify.scam.net/account",
+        "https://amazon-security.fake.org/update",
+        "http://apple-id-locked.phishing.com/unlock",
+        "ftp://suspicious-link.bad.net/file.html"
+    ]
+
+
+@pytest.fixture
+def sample_legitimate_urls():
+    """Sample legitimate URLs for testing."""
+    return [
+        "https://www.google.com",
+        "https://github.com/user/repo",
+        "https://www.wikipedia.org",
+        "https://www.python.org"
+    ]
+
+
+@pytest.fixture
+def temp_phishing_file(sample_phishing_urls, tmp_path):
+    """Create a temporary file with phishing URLs."""
+    file_path = tmp_path / "test_phishing.txt"
+    file_path.write_text("\n".join(sample_phishing_urls))
+    return file_path
+
+
+@pytest.fixture
+def temp_legitimate_file(sample_legitimate_urls, tmp_path):
+    """Create a temporary file with legitimate URLs."""
+    file_path = tmp_path / "test_legitimate.txt"
+    file_path.write_text("\n".join(sample_legitimate_urls))
+    return file_path
+
+
+@pytest.fixture
+def temp_empty_file(tmp_path):
+    """Create a temporary empty file."""
+    file_path = tmp_path / "empty.txt"
+    file_path.write_text("")
+    return file_path
+
+
+@pytest.fixture
+def temp_file_with_blank_lines(sample_phishing_urls, tmp_path):
+    """Create a temporary file with blank lines."""
+    file_path = tmp_path / "test_with_blanks.txt"
+    urls_with_blanks = [
+        sample_phishing_urls[0],
+        "",
+        sample_phishing_urls[1],
+        "   ",
+        sample_phishing_urls[2],
+        "\n",
+        sample_phishing_urls[3]
+    ]
+    file_path.write_text("\n".join(urls_with_blanks))
+    return file_path

tests/test_load_data.py

@@ -0,0 +1,108 @@
+"""Tests for data loading functionality."""
+
+import pytest
+import pandas as pd
+from pathlib import Path
+
+import sys
+sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
+
+from phising_detection.data import load_phishing_urls
+
+
+class TestLoadPhishingUrls:
+    """Tests for load_phishing_urls function."""
+
+    def test_load_phishing_urls_basic(self, temp_phishing_file, sample_phishing_urls):
+        """Test basic loading of phishing URLs."""
+        df = load_phishing_urls(temp_phishing_file)
+
+        # Check DataFrame shape
+        assert len(df) == len(sample_phishing_urls)
+        assert df.shape[1] == 3  # url_id, url, is_phishing
+
+        # Check column names
+        assert list(df.columns) == ['url_id', 'url', 'is_phishing']
+
+        # Check data types
+        assert df['url_id'].dtype == 'int64'
+        assert df['url'].dtype == 'object'
+        assert df['is_phishing'].dtype == 'int64'
+
+    def test_load_phishing_urls_content(self, temp_phishing_file, sample_phishing_urls):
+        """Test that URLs are loaded correctly."""
+        df = load_phishing_urls(temp_phishing_file)
+
+        # Check URLs match
+        assert df['url'].tolist() == sample_phishing_urls
+
+        # Check url_ids are sequential
+        assert df['url_id'].tolist() == list(range(len(sample_phishing_urls)))
+
+        # Check all are labeled as phishing
+        assert all(df['is_phishing'] == 1)
+
+    def test_load_phishing_urls_with_label_false(self, temp_phishing_file):
+        """Test loading URLs without phishing label."""
+        df = load_phishing_urls(temp_phishing_file, is_phishing=False)
+
+        # Check that is_phishing is 0
+        assert all(df['is_phishing'] == 0)
+
+    def test_load_phishing_urls_file_not_found(self):
+        """Test error handling for non-existent file."""
+        with pytest.raises(FileNotFoundError) as exc_info:
+            load_phishing_urls("non_existent_file.txt")
+
+        assert "File not found" in str(exc_info.value)
+
+    def test_load_phishing_urls_empty_file(self, temp_empty_file):
+        """Test loading from empty file."""
+        df = load_phishing_urls(temp_empty_file)
+
+        # Should return empty DataFrame with correct columns
+        assert len(df) == 0
+        assert list(df.columns) == ['url_id', 'url', 'is_phishing']
+
+    def test_load_phishing_urls_with_blank_lines(
+        self, temp_file_with_blank_lines, sample_phishing_urls
+    ):
+        """Test that blank lines are filtered out."""
+        df = load_phishing_urls(temp_file_with_blank_lines)
+
+        # Should only have 4 URLs (blank lines removed)
+        assert len(df) == 4
+
+        # Check that only non-empty URLs are present
+        assert sample_phishing_urls[0] in df['url'].values
+        assert sample_phishing_urls[1] in df['url'].values
+        assert sample_phishing_urls[2] in df['url'].values
+        assert sample_phishing_urls[3] in df['url'].values
+
+    def test_load_phishing_urls_pathlib_path(self, temp_phishing_file):
+        """Test that function accepts pathlib.Path objects."""
+        path = Path(temp_phishing_file)
+        df = load_phishing_urls(path)
+
+        assert isinstance(df, pd.DataFrame)
+        assert len(df) > 0
+
+    def test_load_phishing_urls_string_path(self, temp_phishing_file):
+        """Test that function accepts string paths."""
+        df = load_phishing_urls(str(temp_phishing_file))
+
+        assert isinstance(df, pd.DataFrame)
+        assert len(df) > 0
+
+    def test_load_phishing_urls_returns_dataframe(self, temp_phishing_file):
+        """Test that function returns a pandas DataFrame."""
+        result = load_phishing_urls(temp_phishing_file)
+
+        assert isinstance(result, pd.DataFrame)
+
+    def test_load_phishing_urls_url_id_uniqueness(self, temp_phishing_file):
+        """Test that url_id values are unique."""
+        df = load_phishing_urls(temp_phishing_file)
+
+        assert df['url_id'].is_unique
+        assert len(df['url_id'].unique()) == len(df)

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