Source code for langchain_community.tools.reddit_search.tool
"""Tool for the Reddit search API."""
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import BaseModel, Field
from langchain_community.utilities.reddit_search import RedditSearchAPIWrapper
[docs]
class RedditSearchSchema(BaseModel):
"""Input for Reddit search."""
query: str = Field(
description="should be query string that post title should \
contain, or '*' if anything is allowed."
)
sort: str = Field(
description='should be sort method, which is one of: "relevance" \
, "hot", "top", "new", or "comments".'
)
time_filter: str = Field(
description='should be time period to filter by, which is \
one of "all", "day", "hour", "month", "week", or "year"'
)
subreddit: str = Field(
description='should be name of subreddit, like "all" for \
r/all'
)
limit: str = Field(
description="a positive integer indicating the maximum number \
of results to return"
)
[docs]
class RedditSearchRun(BaseTool): # type: ignore[override, override]
"""Tool that queries for posts on a subreddit."""
name: str = "reddit_search"
description: str = (
"A tool that searches for posts on Reddit."
"Useful when you need to know post information on a subreddit."
)
api_wrapper: RedditSearchAPIWrapper = Field(default_factory=RedditSearchAPIWrapper) # type: ignore[arg-type]
args_schema: Type[BaseModel] = RedditSearchSchema
def _run(
self,
query: str,
sort: str,
time_filter: str,
subreddit: str,
limit: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the tool."""
return self.api_wrapper.run(
query=query,
sort=sort,
time_filter=time_filter,
subreddit=subreddit,
limit=int(limit),
)