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.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": Value("string"),
         "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)
        # Replace pd.NA with None for all columns
        for column in df.columns:
            df[column] = df[column].replace({pd.NA: None})

        posts = {}
        for id_, row in df.iterrows():
            post_id = row["PostID"]
            if post_id not in posts:
                post_data = {
                    "id": post_id,
                    "post_title": row["PostTitle"],
                    "post_author": row["PostAuthor"],
                    "post_body": row["PostBody"],
                    "post_url": row["PostUrl"],
                    "post_pic": row["PostPic"],
                    "subreddit": row["Subreddit"],
                    "post_timestamp": row["PostTimestamp"],
                    "post_upvotes": int(row["PostUpvotes"]),
                    "post_permalink": row["PostPermalink"],
                    "comments": []
                }
                posts[post_id] = post_data

            comment_data = {
                "CommentID": row["CommentID"],
                "CommentAuthor": row["CommentAuthor"],
                "CommentBody": row["CommentBody"],
                "CommentTimestamp": row["CommentTimestamp"],
                "CommentUpvotes": int(row["CommentUpvotes"]),
                "CommentPermalink": row["CommentPermalink"],
                "replies": []
            }
            posts[post_id]["comments"].append(comment_data)

            reply_id = row["ReplyID"]
            if reply_id:
                # Construct reply data dictionary
                reply_data = {
                    "ReplyID": reply_id,
                    "ReplyAuthor": row["ReplyAuthor"],
                    "ReplyBody": row["ReplyBody"],
                    "ReplyTimestamp": row["ReplyTimestamp"],
                    "ReplyUpvotes": int(row["ReplyUpvotes"]),
                    "ReplyPermalink": row["ReplyPermalink"]
                }
                # Append reply data to replies list of corresponding comment
                for comment in posts[post_id]["comments"]:
                    if comment["CommentID"] == row["CommentID"]:
                        comment["replies"].append(reply_data)
                        break

        for key, post_data in posts.items():
            yield key, post_data