Upload csvtransformerjson.py

csvtransformerjson.py

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+import csv
+import pandas as pd
+
+class CSVtoJSONTransformer:
+ def __init__(self, csv_reader):
+ self.csv_reader = csv_reader
+ 
+ def transform_to_json(self):
+ df = pd.DataFrame(self.csv_reader) # Convert csv_reader to DataFrame
+ df["Author"] = df["Author"].replace({pd.NA: None})
+ df["Comment Body"] = df["Comment Body"].replace({pd.NA: None})
+
+ transformed_data = []
+
+ # Group the DataFrame by the 'Subreddit' column
+ grouped_df = df.groupby('Subreddit')
+
+ for subreddit, group in grouped_df:
+ subreddit_data = {
+ "Subreddit": subreddit,
+ "Posts": []
+ }
+ 
+ # Dictionary to keep track of post titles and their corresponding post IDs
+ post_title_to_id = {}
+
+ for index, row in group.iterrows():
+ post_title = row['Post Title']
+ comment_body = row['Comment Body']
+ timestamp = row['Timestamp']
+ upvotes = row['Upvotes']
+ ID = row['ID']
+ author = row['Author']
+ replies = row['Number of Replies']
+
+ # Check if the post title already exists under the subreddit
+ if post_title in post_title_to_id:
+ post_id = post_title_to_id[post_title]
+ # Append comment to existing post
+ for post in subreddit_data["Posts"]:
+ if post['PostID'] == post_id:
+ post['Comments'].append({
+ "CommentID": ID,
+ "Author": author,
+ "CommentBody": comment_body,
+ "Timestamp": timestamp,
+ "Upvotes": upvotes,
+ "NumberofReplies": replies
+ })
+ break
+ else:
+ # If the post title does not exist, create a new entry
+ post_id = len(subreddit_data["Posts"]) + 1
+ post_title_to_id[post_title] = post_id
+ subreddit_data["Posts"].append({
+ "PostID": post_id,
+ "PostTitle": post_title,
+ "Comments": [{
+ "CommentID": ID,
+ "Author": author,
+ "CommentBody": comment_body,
+ "Timestamp": timestamp,
+ "Upvotes": upvotes,
+ "NumberofReplies": replies
+ }]
+ })
+
+ transformed_data.append(subreddit_data)
+
+ return transformed_data