mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
b2fd41331e
Addded missed docstrings. Fixed inconsistency in docstrings. **Note** CC @efriis There were PR errors on `langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py` But, I didn't touch this file in this PR! Can it be some cache problems? I fixed this error.
82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
"""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"
|