Update CSV_Processing.py

CSV_Processing.py

@@ -1,6 +1,7 @@
 #### Firstly, I read specimen data from a CSV file, merges and reformats certain columns, and then converts this data into a pandas DataFrame.
 #### Then, I process associated images by resizing them and saving them in a specified output directory. 
 #### Next, I update the DataFrame with the paths to the processed images and save this enhanced dataset as a new CSV file.
+#### Finally, I upload photos to github and replace the url to corresponding names.
 
 import csv
 import os
@@ -96,3 +97,26 @@ df.rename(columns={'image file name': 'image'}, inplace=True)
 # Save the DataFrame to a CSV file
 final_csv_path = '/Users/leozhangzaolin/Desktop/Final_GS_with_Images5.csv'
 df.to_csv(final_csv_path, index=False)
+
+# take url path to each specimens
+def update_csv_with_github_links(csv_file_path, github_repo_url, branch_name):
+    updated_rows = []
+
+    with open(csv_file_path, mode='r') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            image_name = row['image'].split('/')[-1] 
+            row['image'] = f"{github_repo_url}/{branch_name}/{image_name}" 
+            updated_rows.append(row)
+
+    # Write updated data back to CSV
+    with open(csv_file_path, mode='w', newline='') as file:
+        writer = csv.DictWriter(file, fieldnames=reader.fieldnames)
+        writer.writeheader()
+        writer.writerows(updated_rows)
+
+csv_file = '/Users/leozhangzaolin/Desktop/Final_GS_with_Images5.csv'
+github_repo_url = 'https://raw.githubusercontent.com/LeoZhangzaolin/photos' 
+branch_name = 'main' 
+update_csv_with_github_links(csv_file, github_repo_url, branch_name)
+