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

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

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

class NewDataset(GeneratorBasedBuilder):
    def _info(self):
        return DatasetInfo(
            description=_DESCRIPTION,
            features = Features({
    "Posts": Sequence({
        "PostID": Value("string"),
        "PostTitle": Value("string"),
        "PostAuthor": Value("string"),
        "PostBody": Value("string"),
        "PostUrl": Value("string"),
        "PostPic": Value("string"),
        "Subreddit": Value("string"),
        "PostTimestamp": Value("string"),
        "PostUpvotes": Value("int32"),
        "PostPermalink": 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.json"})
        return [train_splits]
    def _generate_examples(self, filepath):
        with open(filepath, encoding="utf-8") as f:
            data = json.load(f)
            
            for post in data["Posts"]:
                post_id = post["PostID"]
                post_title = post["PostTitle"]
                post_author = post["PostAuthor"]
                post_body = post["PostBody"]
                post_url = post["PostUrl"]
                post_pic = post["PostPic"]
                subreddit = post["Subreddit"]
                post_timestamp = post["PostTimestamp"]
                post_upvotes = int(post["PostUpvotes"])
                post_permalink = post["PostPermalink"]
                comments = post["Comments"]
                
                for comment in comments:
                    comment_id = comment["CommentID"]
                    comment_author = comment["CommentAuthor"]
                    comment_body = comment["CommentBody"]
                    comment_timestamp = comment["CommentTimestamp"]
                    comment_upvotes = int(comment["CommentUpvotes"])
                    comment_permalink = comment["CommentPermalink"]
                    
                    replies = comment.get("Replies", [])
                    for reply in replies:
                        reply_id = reply["ReplyID"]
                        reply_author = reply["ReplyAuthor"]
                        reply_body = reply["ReplyBody"]
                        reply_timestamp = reply["ReplyTimestamp"]
                        reply_upvotes = int(reply["ReplyUpvotes"])
                        reply_permalink = reply["ReplyPermalink"]
                        
                        yield f"{post_id}_{comment_id}_{reply_id}", {
                            "post_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,
                            "comment_id": comment_id,
                            "comment_author": comment_author,
                            "comment_body": comment_body,
                            "comment_timestamp": comment_timestamp,
                            "comment_upvotes": comment_upvotes,
                            "comment_permalink": comment_permalink,
                            "reply_id": reply_id,
                            "reply_author": reply_author,
                            "reply_body": reply_body,
                            "reply_timestamp": reply_timestamp,
                            "reply_upvotes": reply_upvotes,
                            "reply_permalink": reply_permalink,
                        }