wrap the html into a function

Author: abhicodes369

utilities/repostatus.py

@@ -13,38 +13,54 @@
 SOURCE_FOLDER = os.path.join(REPO_DIR, "src", "original")
 WRAPPED_FOLDER = os.path.join(REPO_DIR, "src", "standardized")
 
-# Read the CSV file
-df = pd.read_csv(CODE_CONTRIBUTIONS_FILE)
+def generate_html():
+    """
+    Generates an HTML report based on the code contributions and algorithm information.
 
-unique_subfolders = df['subfolder'].unique().tolist()
+    The report includes the following columns:
+    - Technique
+    - Subfolder
+    - Contributors
+    - Wrapped
+    - Tested
 
-# Read the JSON file
-with open(ALGORITHMS_FILE, 'r') as f:
-    algorithms_data = json.load(f)
+    The report is saved as 'combined_report.html' in the 'website' directory of the repository.
+    """
+    # Read the CSV file
+    df = pd.read_csv(CODE_CONTRIBUTIONS_FILE)
 
-# list of all algorithms from the JSON file
-all_algorithms = algorithms_data['algorithms']
+    unique_subfolders = df['subfolder'].unique().tolist()
 
-# Check if both code_contributions_file matches with source folder
-for subfolder in unique_subfolders:
-    subfolder_path = os.path.join(SOURCE_FOLDER, subfolder)
-    if not os.path.exists(subfolder_path):
-        print(f"Warning: Subfolder '{subfolder}' does not exist in the source folder.")
+    # Read the JSON file
+    with open(ALGORITHMS_FILE, 'r') as f:
+        algorithms_data = json.load(f)
 
-# Add column 'Tested' to the DataFrame based on a match with algorithms and wrapped column
-df['Wrapped'] = df['Wrapped'].fillna('')
-df['Tested'] = df.apply(lambda row: 'Yes' if any(algorithm in row['Wrapped'] for algorithm in all_algorithms) else '', axis=1)
+    # list of all algorithms from the JSON file
+    all_algorithms = algorithms_data['algorithms']
 
-# Select the desired columns
-df_selected = df[['Technique', 'subfolder', 'Authors', 'Wrapped', 'Tested']]
-df_selected.columns = ['Technique', 'Subfolder', 'Contributors', 'Wrapped', 'Tested']
+    # Check if both code_contributions_file matches with source folder
+    for subfolder in unique_subfolders:
+        subfolder_path = os.path.join(SOURCE_FOLDER, subfolder)
+        if not os.path.exists(subfolder_path):
+            print(f"Warning: Subfolder '{subfolder}' does not exist in the source folder.")
 
-# Convert the DataFrame to HTML
-html_string = df_selected.to_html(index=False)
+    # Add column 'Tested' to the DataFrame based on a match with algorithms and wrapped column
+    df['Wrapped'] = df['Wrapped'].fillna('')
+    df['Tested'] = df.apply(lambda row: 'Yes' if any(algorithm in row['Wrapped'] for algorithm in all_algorithms) else '', axis=1)
 
-# Save the HTML to a file
-with open(os.path.join(REPO_DIR, 'website','combined_report.html'), 'w') as f:
-    f.write(html_string)
+    # Select the desired columns
+    df_selected = df[['Technique', 'subfolder', 'Authors', 'Wrapped', 'Tested']]
+    df_selected.columns = ['Technique', 'Subfolder', 'Contributors', 'Wrapped', 'Tested']
 
-# Printing message that report has been successfully generated
-print("Combined HTML report generated successfully.")
+    # Convert the DataFrame to HTML
+    html_string = df_selected.to_html(index=False)
+
+    # Save the HTML to a file
+    with open(os.path.join(REPO_DIR, 'website', 'combined_report.html'), 'w') as f:
+        f.write(html_string)
+
+    # Printing message that report has been successfully generated
+    print("Combined HTML report generated successfully.")
+
+if __name__ == "__main__":
+    generate_html()