Datasets:
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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):
next(self.csv_reader) # Skip header if present
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 |