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03f2c49b7e
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Remove old artifacts / remove-old-artifacts (push) Has been cancelled
70 lines
2.6 KiB
Python
70 lines
2.6 KiB
Python
from typing import Any, Dict, List
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from camel.toolkits import RedditToolkit as BaseRedditToolkit
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from camel.toolkits.function_tool import FunctionTool
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from app.component.environment import env
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from app.service.task import Agents
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from app.utils.listen.toolkit_listen import listen_toolkit
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from app.utils.toolkit.abstract_toolkit import AbstractToolkit
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class RedditToolkit(BaseRedditToolkit, AbstractToolkit):
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agent_name: str = Agents.social_medium_agent
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def __init__(
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self,
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api_task_id: str,
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retries: int = 3,
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delay: float = 0,
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timeout: float | None = None,
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):
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super().__init__(retries, delay, timeout)
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self.api_task_id = api_task_id
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@listen_toolkit(
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BaseRedditToolkit.collect_top_posts,
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lambda _,
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subreddit_name,
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post_limit=5,
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comment_limit=5: f"collect top posts from subreddit: {subreddit_name} with post limit: {post_limit} and comment limit: {comment_limit}",
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lambda result: f"top posts collected: {result}",
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)
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def collect_top_posts(
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self, subreddit_name: str, post_limit: int = 5, comment_limit: int = 5
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) -> List[Dict[str, Any]] | str:
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return super().collect_top_posts(subreddit_name, post_limit, comment_limit)
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@listen_toolkit(
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BaseRedditToolkit.perform_sentiment_analysis,
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lambda _, data: f"perform sentiment analysis on data number: {len(data)}",
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lambda result: f"perform analysis result: {result}",
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)
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def perform_sentiment_analysis(self, data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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return super().perform_sentiment_analysis(data)
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@listen_toolkit(
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BaseRedditToolkit.track_keyword_discussions,
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lambda _,
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subreddits,
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keywords,
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post_limit=10,
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comment_limit=10,
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sentiment_analysis=False: f"track keyword discussions for subreddits: {subreddits}, keywords: {keywords}",
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lambda result: f"track keyword discussions result: {result}",
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)
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def track_keyword_discussions(
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self,
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subreddits: List[str],
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keywords: List[str],
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post_limit: int = 10,
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comment_limit: int = 10,
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sentiment_analysis: bool = False,
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) -> List[Dict[str, Any]] | str:
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return super().track_keyword_discussions(subreddits, keywords, post_limit, comment_limit, sentiment_analysis)
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@classmethod
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def get_can_use_tools(cls, api_task_id: str) -> list[FunctionTool]:
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if env("REDDIT_CLIENT_ID") and env("REDDIT_CLIENT_SECRET") and env("REDDIT_USER_AGENT"):
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return RedditToolkit(api_task_id).get_tools()
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else:
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return []
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