mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-08 00:28:47 +00:00
bf5193bb99
Upgrade to using a literal for specifying the extra which is the
recommended approach in pydantic 2.
This works correctly also in pydantic v1.
```python
from pydantic.v1 import BaseModel
class Foo(BaseModel, extra="forbid"):
x: int
Foo(x=5, y=1)
```
And
```python
from pydantic.v1 import BaseModel
class Foo(BaseModel):
x: int
class Config:
extra = "forbid"
Foo(x=5, y=1)
```
## Enum -> literal using grit pattern:
```
engine marzano(0.1)
language python
or {
`extra=Extra.allow` => `extra="allow"`,
`extra=Extra.forbid` => `extra="forbid"`,
`extra=Extra.ignore` => `extra="ignore"`
}
```
Resorted attributes in config and removed doc-string in case we will
need to deal with going back and forth between pydantic v1 and v2 during
the 0.3 release. (This will reduce merge conflicts.)
## Sort attributes in Config:
```
engine marzano(0.1)
language python
function sort($values) js {
return $values.text.split(',').sort().join("\n");
}
class_definition($name, $body) as $C where {
$name <: `Config`,
$body <: block($statements),
$values = [],
$statements <: some bubble($values) assignment() as $A where {
$values += $A
},
$body => sort($values),
}
```
81 lines
2.7 KiB
Python
81 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, 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:
|
|
extra = "forbid"
|
|
|
|
@root_validator(pre=True)
|
|
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"
|