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"""Util that calls Google Scholar Search."""
from typing import Any, Dict, Optional, cast
from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
class GoogleJobsAPIWrapper(BaseModel):
"""Wrapper for SerpApi's Google Scholar API
You can create SerpApi.com key by signing up at: https://serpapi.com/users/sign_up.
The wrapper uses the SerpApi.com python package:
https://serpapi.com/integrations/python
To use, you should have the environment variable ``SERPAPI_API_KEY``
set with your API key, or pass `serp_api_key` as a named parameter
to the constructor.
Example:
.. code-block:: python
from langchain_community.utilities import GoogleJobsAPIWrapper
google_Jobs = GoogleJobsAPIWrapper()
google_Jobs.run('langchain')
"""
serp_search_engine: Any
serp_api_key: Optional[SecretStr] = None
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
values["serp_api_key"] = convert_to_secret_str(
get_from_dict_or_env(values, "serp_api_key", "SERPAPI_API_KEY")
)
try:
from serpapi import SerpApiClient
except ImportError:
raise ImportError(
"google-search-results is not installed. "
"Please install it with `pip install google-search-results"
">=2.4.2`"
)
serp_search_engine = SerpApiClient
values["serp_search_engine"] = serp_search_engine
return values
def run(self, query: str) -> str:
"""Run query through Google Trends with Serpapi"""
# set up query
serpapi_api_key = cast(SecretStr, self.serp_api_key)
params = {
"engine": "google_jobs",
"api_key": serpapi_api_key.get_secret_value(),
"q": query,
}
total_results = []
client = self.serp_search_engine(params)
total_results = client.get_dict()["jobs_results"]
# extract 1 job info:
res_str = ""
for i in range(1):
job = total_results[i]
res_str += (
"\n_______________________________________________"
+ f"\nJob Title: {job['title']}\n"
+ f"Company Name: {job['company_name']}\n"
+ f"Location: {job['location']}\n"
+ f"Description: {job['description']}"
+ "\n_______________________________________________\n"
)
return res_str + "\n"
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