import csv
import json
import os
from datasets import GeneratorBasedBuilder, Features, Value, Sequence, SplitGenerator, BuilderConfig, DatasetInfo, Split
import logging
import pandas as pd
from typing import Dict
from datasets import Image

CITATION = ""
_DESCRIPTION = "Demo" 
_URL = ""
_HOMEPAGE = ""
_LICENSE = ""

_URL = "https://github.com/catherine-ywang/reddit_climate_comment_data/raw/main/climate_comments.csv.zip"

class NewDataset(GeneratorBasedBuilder):
    def _info(self):
        return DatasetInfo(
            description=_DESCRIPTION,
            features=Features({
         "id": Value("string"),
         "post_title": Value("string"),
         "post_author": Value("string"),
         "post_body": Value("string"),
         "post_url": Value("string"),
         "post_pic": Image(),
         "subreddit": Value("string"),
         "post_timestamp": Value("string"),
         "post_upvotes": Value("int32"),
         "post_permalink": Value("string"),
         "comments": Sequence({
             "CommentID": Value("string"),
             "CommentAuthor": Value("string"),
             "CommentBody": Value("string"),
             "CommentTimestamp": Value("string"),
             "CommentUpvotes": Value("int32"),
             "CommentPermalink": Value("string"),
             "replies": Sequence({
                 "ReplyID": Value("string"),
                 "ReplyAuthor": Value("string"),
                 "ReplyBody": Value("string"),
                 "ReplyTimestamp": Value("string"),
                 "ReplyUpvotes": Value("int32"),
                 "ReplyPermalink": Value("string"),
             })
         })
     }),
            homepage=_HOMEPAGE,
        )
    def _split_generators(self, dl_manager):
        path = dl_manager.download_and_extract(_URL)
        train_splits = SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": path+"/climate_comments.csv"})
        return [train_splits]
        
    def _generate_examples(self, filepath):
        df = pd.read_csv(filepath)
        for column in df.columns:
            df[column] = df[column].replace({pd.NA: None})
        # Group the DataFrame by post ID
        grouped_df = df.groupby('PostID')

        for post_id, group in grouped_df:
            post_data = group.iloc[0]  # Get the data for the post

            post_title = post_data['PostTitle']
            post_author = post_data['PostAuthor']
            post_body = post_data['PostBody']
            post_url = post_data['PostUrl']
            post_pic = post_data['PostPic']
            post_pic = Image.from_path(post_pic)
            subreddit = post_data['Subreddit']
            post_timestamp = post_data['PostTimestamp']
            post_upvotes = post_data['PostUpvotes']
            post_permalink = post_data['PostPermalink']

            comments = []

            # Iterate over each unique comment ID
            for comment_id in group['CommentID'].unique():
                comment_data = group[group['CommentID'] == comment_id].iloc[0]

                comment_author = comment_data['CommentAuthor']
                comment_body = comment_data['CommentBody']
                comment_timestamp = comment_data['CommentTimestamp']
                comment_upvotes = comment_data['CommentUpvotes']
                comment_permalink = comment_data['CommentPermalink']

                # Get all replies for the current comment
                replies = []
                reply_group = df[df['CommentID'] == comment_id]
                for _, reply_data in reply_group.iterrows():
                    reply_id = reply_data['ReplyID']
                    reply_author = reply_data['ReplyAuthor']
                    reply_body = reply_data['ReplyBody']
                    reply_timestamp = reply_data['ReplyTimestamp']
                    reply_upvotes = reply_data['ReplyUpvotes']
                    reply_permalink = reply_data['ReplyPermalink']

                    reply = {
                        "ReplyID": reply_id,
                        "ReplyAuthor": reply_author,
                        "ReplyBody": reply_body,
                        "ReplyTimestamp": reply_timestamp,
                        "ReplyUpvotes": reply_upvotes,
                        "ReplyPermalink": reply_permalink
                    }
                    replies.append(reply)

                # Add comment with its replies to the list
                comment = {
                    "CommentID": comment_id,
                    "CommentAuthor": comment_author,
                    "CommentBody": comment_body,
                    "CommentTimestamp": comment_timestamp,
                    "CommentUpvotes": comment_upvotes,
                    "CommentPermalink": comment_permalink,
                    "replies": replies
                }
                comments.append(comment)

            yield post_id, {
                "id": post_id,
                "post_title": post_title,
                "post_author": post_author,
                "post_body": post_body,
                "post_url": post_url,
                "post_pic": post_pic,
                "subreddit": subreddit,
                "post_timestamp": post_timestamp,
                "post_upvotes": post_upvotes,
                "post_permalink": post_permalink,
                "comments": comments
            }