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EVAL/core/tools/cpu.py

106 lines
3.5 KiB
Python

import requests
from bs4 import BeautifulSoup
from llama_index import GPTSimpleVectorIndex
from llama_index.readers.database import DatabaseReader
from env import settings
from logger import logger
from .base import BaseToolSet, SessionGetter, ToolScope, tool
class RequestsGet(BaseToolSet):
@tool(
name="Requests Get",
description="A portal to the internet. "
"Use this when you need to get specific content from a website."
"Input should be a url (i.e. https://www.google.com)."
"The output will be the text response of the GET request.",
)
def get(self, url: str) -> str:
"""Run the tool."""
html = requests.get(url).text
soup = BeautifulSoup(html)
non_readable_tags = soup.find_all(
["script", "style", "header", "footer", "form"]
)
for non_readable_tag in non_readable_tags:
non_readable_tag.extract()
content = soup.get_text("\n", strip=True)
if len(content) > 300:
content = content[:300] + "..."
logger.debug(
f"\nProcessed RequestsGet, Input Url: {url} " f"Output Contents: {content}"
)
return content
class WineDB(BaseToolSet):
def __init__(self):
db = DatabaseReader(
scheme="postgresql", # Database Scheme
host=settings["WINEDB_HOST"], # Database Host
port="5432", # Database Port
user="alphadom", # Database User
password=settings["WINEDB_PASSWORD"], # Database Password
dbname="postgres", # Database Name
)
self.columns = ["nameEn", "nameKo", "description"]
concat_columns = str(",'-',".join([f'"{i}"' for i in self.columns]))
query = f"""
SELECT
Concat({concat_columns})
FROM wine
"""
documents = db.load_data(query=query)
self.index = GPTSimpleVectorIndex(documents)
@tool(
name="Wine Recommendation",
description="A tool to recommend wines based on a user's input. "
"Inputs are necessary factors for wine recommendations, such as the user's mood today, side dishes to eat with wine, people to drink wine with, what things you want to do, the scent and taste of their favorite wine."
"The output will be a list of recommended wines."
"The tool is based on a database of wine reviews, which is stored in a database.",
)
def recommend(self, query: str) -> str:
"""Run the tool."""
results = self.index.query(query)
wine = "\n".join(
[
f"{i}:{j}"
for i, j in zip(
self.columns, results.source_nodes[0].source_text.split("-")
)
]
)
output = results.response + "\n\n" + wine
logger.debug(
f"\nProcessed WineDB, Input Query: {query} " f"Output Wine: {wine}"
)
return output
class ExitConversation(BaseToolSet):
@tool(
name="Exit Conversation",
description="A tool to exit the conversation. "
"Use this when you want to exit the conversation. "
"The input should be a message that the conversation is over.",
scope=ToolScope.SESSION,
)
def exit(self, message: str, get_session: SessionGetter) -> str:
"""Run the tool."""
_, executor = get_session()
del executor
logger.debug(f"\nProcessed ExitConversation.")
return message