"""Simple Reader that loads text relevant to a certain search keyword from subreddits."""

from typing import List, Optional

from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document


class RedditReader(BaseReader):
    """
    Subreddit post and top-level comments reader for Reddit.
    """

    def load_data(
        self,
        subreddits: List[str],
        search_keys: List[str],
        post_limit: Optional[int] = [10],
    ) -> List[Document]:
        """
        Load text from relevant posts and top-level comments in subreddit(s), given keyword(s) for search.

        Args:
            subreddits (List[str]): List of subreddits you'd like to read from
            search_keys (List[str]): List of keywords you'd like to use to search from subreddit(s)
            post_limit (Optional[int]): Maximum number of posts per subreddit you'd like to read from, defaults to 10

        """
        import os

        import praw
        from praw.models import MoreComments

        reddit = praw.Reddit(
            client_id=os.getenv("REDDIT_CLIENT_ID"),
            client_secret=os.getenv("REDDIT_CLIENT_SECRET"),
            user_agent=os.getenv("REDDIT_USER_AGENT"),
            username=os.getenv("REDDIT_USERNAME"),
            password=os.getenv("REDDIT_PASSWORD"),
        )

        posts = []

        for sr in subreddits:
            ml_subreddit = reddit.subreddit(sr)

            for kw in search_keys:
                relevant_posts = ml_subreddit.search(kw, limit=post_limit)

                for post in relevant_posts:
                    posts.append(Document(text=post.selftext))
                    for top_level_comment in post.comments:
                        if isinstance(top_level_comment, MoreComments):
                            continue
                        posts.append(Document(text=top_level_comment.body))

        return posts

"""Simple Reader that loads text relevant to a certain search keyword from subreddits."""
from typing import List, Optional

from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document


class RedditReader(BaseReader):
    """
    Subreddit post and top-level comments reader for Reddit.
    """

    def load_data(
        self,
        subreddits: List[str],
        search_keys: List[str],
        post_limit: Optional[int] = [10],
    ) -> List[Document]:
        """
        Load text from relevant posts and top-level comments in subreddit(s), given keyword(s) for search.

        Args:
            subreddits (List[str]): List of subreddits you'd like to read from
            search_keys (List[str]): List of keywords you'd like to use to search from subreddit(s)
            post_limit (Optional[int]): Maximum number of posts per subreddit you'd like to read from, defaults to 10

        """
        import os

        import praw
        from praw.models import MoreComments

        reddit = praw.Reddit(
            client_id=os.getenv("REDDIT_CLIENT_ID"),
            client_secret=os.getenv("REDDIT_CLIENT_SECRET"),
            user_agent=os.getenv("REDDIT_USER_AGENT"),
            username=os.getenv("REDDIT_USERNAME"),
            password=os.getenv("REDDIT_PASSWORD"),
        )

        posts = []

        for sr in subreddits:
            ml_subreddit = reddit.subreddit(sr)

            for kw in search_keys:
                relevant_posts = ml_subreddit.search(kw, limit=post_limit)

                for post in relevant_posts:
                    posts.append(Document(text=post.selftext))
                    for top_level_comment in post.comments:
                        if isinstance(top_level_comment, MoreComments):
                            continue
                        posts.append(Document(text=top_level_comment.body))

        return posts
