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}) # Define an empty list to store the transformed data transformed_data = [] # Group the DataFrame by the 'Subreddit' column grouped_df = df.groupby('Subreddit') # Iterate through each subreddit group for subreddit, group in grouped_df: subreddit_data = { "Subreddit": subreddit, "Posts": [] } # Iterate through each row in the subreddit group 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 post_exists = False for post in subreddit_data["Posts"]: if post['PostTitle'] == post_title: post_exists = True post['Comments'].append({ "CommentID": ID, "Author": author, "CommentBody": comment_body, "Timestamp": timestamp, "Upvotes": upvotes, "NumberofReplies": replies }) break # If the post title does not exist, create a new entry if not post_exists: subreddit_data["Posts"].append({ "PostID": len(subreddit_data["Posts"]) + 1, "PostTitle": post_title, "Comments": [{ "CommentID": ID, "Author": author, "CommentBody": comment_body, "Timestamp": timestamp, "Upvotes": upvotes, "NumberofReplies": replies }] }) # Append the subreddit data to the transformed data list transformed_data.append(subreddit_data) return transformed_data