created wrapper column

Author: abhicodes369

repostatus.py

@@ -9,4 +9,5 @@ matplotlib
 scienceplots
 cvxpy
 pytest
-tqdm
+tqdm
+pandas

requirements.txt

@@ -0,0 +1,64 @@
+import os
+import pandas as pd
+import json
+
+# directory of the current script
+script_dir = os.path.dirname(os.path.abspath(__file__))
+
+# path to the repository
+REPO_DIR = os.path.dirname(script_dir)
+
+CODE_CONTRIBUTIONS_FILE = os.path.join(REPO_DIR, "doc", "code_contributions_record.csv")
+ALGORITHMS_FILE = os.path.join(REPO_DIR, "tests", "IVIMmodels", "unit_tests", "algorithms.json")
+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)
+
+unique_subfolders = df['subfolder'].unique().tolist()
+
+# Read the JSON file
+with open(ALGORITHMS_FILE, 'r') as f:
+    algorithms_data = json.load(f)
+
+# list of all algorithms from the JSON file
+all_algorithms = algorithms_data['algorithms']
+
+# 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.")
+
+# Add column 'Tested' to the DataFrame if it starts with that of subfolder
+df['Tested'] = df.apply(lambda row: 'Yes' if any(algorithm.startswith(row['subfolder'].split('_')[0]) for algorithm in all_algorithms) else 'No', axis=1)
+
+# Parse files in the WRAPPED_FOLDER 
+wrapped_algorithms = []
+for root, dirs, files in os.walk(WRAPPED_FOLDER):
+    for file in files:
+        if file.endswith('.py'):
+            file_path = os.path.join(root, file)
+            with open(file_path, 'r') as f:
+                content = f.read()
+                for algorithm in all_algorithms:
+                    if algorithm in content:
+                        wrapped_algorithms.append(algorithm)
+
+# Add a column 'Wrapped' to the DataFrame
+df['Wrapped'] = df.apply(lambda row: 'Yes' if any(algorithm.startswith(row['subfolder'].split('_')[0]) for algorithm in wrapped_algorithms) else 'No', axis=1)
+
+# Select the desired columns
+df_selected = df[['Technique', 'subfolder', 'Authors', 'Tested', 'Wrapped']]
+df_selected.columns = ['Technique', 'Subfolder', 'Contributors', 'Tested', 'Wrapped']
+
+# 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, 'combined_report.html'), 'w') as f:
+    f.write(html_string)
+
+# Printing message that report has been successfully generated
+print("Combined HTML report generated successfully.")

utilities/repostatus.py

@@ -5,6 +5,7 @@
       <th>Subfolder</th>
       <th>Contributors</th>
       <th>Tested</th>
+      <th>Wrapped</th>
     </tr>
   </thead>
   <tbody>
@@ -13,114 +14,133 @@
       <td>OGC_AmsterdamUMC</td>
       <td>Oliver Gurney-Champion</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>OGC_AmsterdamUMC</td>
       <td>Oliver Gurney-Champion</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>Tri-exponential</td>
       <td>OGC_AmsterdamUMC</td>
       <td>Oliver Gurney-Champion</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>Tri-exponential</td>
       <td>OGC_AmsterdamUMC</td>
       <td>Oliver Gurney-Champion</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>OGC_AmsterdamUMC</td>
       <td>Oliver Gurney-Champion/Sebastiano Barbieri</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>PvH_KB_NKI</td>
       <td>Petra van Houdt/Stefan Zijlema/Koen Baas</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>PV_MUMC</td>
       <td>Paulien Voorter</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Farooq et al. Modified by Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Fadnavis et al. Modified by Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Modified by Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>IAR_LundUniversity</td>
       <td>Modified by Ivan A. Rashid</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>OJ_GU</td>
       <td>Oscar Jalnefjord</td>
       <td>No</td>
+      <td>No</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>OJ_GU</td>
       <td>Oscar Jalnefjord</td>
       <td>No</td>
+      <td>No</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>OJ_GU</td>
       <td>Oscar Jalnefjord</td>
       <td>No</td>
+      <td>No</td>
     </tr>
     <tr>
       <td>IVIM</td>
       <td>ETP_SRI</td>
       <td>Eric Peterson</td>
       <td>Yes</td>
+      <td>Yes</td>
     </tr>
   </tbody>
 </table>