Datasets:
Delete csvtransformerjson.py
Browse files- csvtransformerjson.py +0 -70
csvtransformerjson.py
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import csv
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import pandas as pd
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class CSVtoJSONTransformer:
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def __init__(self, csv_reader):
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self.csv_reader = csv_reader
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def transform_to_json(self):
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df = pd.DataFrame(self.csv_reader) # Convert csv_reader to DataFrame
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df["Author"] = df["Author"].replace({pd.NA: None})
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df["Comment Body"] = df["Comment Body"].replace({pd.NA: None})
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transformed_data = []
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# Group the DataFrame by the 'Subreddit' column
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grouped_df = df.groupby('Subreddit')
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for subreddit, group in grouped_df:
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subreddit_data = {
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"Subreddit": subreddit,
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"Posts": []
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}
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# Dictionary to keep track of post titles and their corresponding post IDs
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post_title_to_id = {}
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for index, row in group.iterrows():
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post_title = row['Post Title']
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comment_body = row['Comment Body']
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timestamp = row['Timestamp']
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upvotes = row['Upvotes']
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ID = row['ID']
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author = row['Author']
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replies = row['Number of Replies']
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# Check if the post title already exists under the subreddit
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if post_title in post_title_to_id:
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post_id = post_title_to_id[post_title]
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# Append comment to existing post
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for post in subreddit_data["Posts"]:
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if post['PostID'] == post_id:
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post['Comments'].append({
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"CommentID": ID,
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"Author": author,
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"CommentBody": comment_body,
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"Timestamp": timestamp,
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"Upvotes": upvotes,
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"NumberofReplies": replies
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})
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break
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else:
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# If the post title does not exist, create a new entry
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post_id = len(subreddit_data["Posts"]) + 1
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post_title_to_id[post_title] = post_id
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subreddit_data["Posts"].append({
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"PostID": post_id,
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"PostTitle": post_title,
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"Comments": [{
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"CommentID": ID,
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"Author": author,
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"CommentBody": comment_body,
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"Timestamp": timestamp,
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"Upvotes": upvotes,
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"NumberofReplies": replies
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}]
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})
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transformed_data.append(subreddit_data)
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return transformed_data
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