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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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next(self.csv_reader) |
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df = pd.DataFrame(self.csv_reader) |
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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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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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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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if post_title in post_title_to_id: |
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post_id = post_title_to_id[post_title] |
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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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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 |