langchain/libs/community/langchain_community/utilities/google_places_api.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
2023-12-11 13:53:30 -08:00

115 lines
4.0 KiB
Python

"""Chain that calls Google Places API.
"""
import logging
from typing import Any, Dict, Optional
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
class GooglePlacesAPIWrapper(BaseModel):
"""Wrapper around Google Places API.
To use, you should have the ``googlemaps`` python package installed,
**an API key for the google maps platform**,
and the environment variable ''GPLACES_API_KEY''
set with your API key , or pass 'gplaces_api_key'
as a named parameter to the constructor.
By default, this will return the all the results on the input query.
You can use the top_k_results argument to limit the number of results.
Example:
.. code-block:: python
from langchain_community.utilities import GooglePlacesAPIWrapper
gplaceapi = GooglePlacesAPIWrapper()
"""
gplaces_api_key: Optional[str] = None
google_map_client: Any #: :meta private:
top_k_results: Optional[int] = None
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
arbitrary_types_allowed = True
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key is in your environment variable."""
gplaces_api_key = get_from_dict_or_env(
values, "gplaces_api_key", "GPLACES_API_KEY"
)
values["gplaces_api_key"] = gplaces_api_key
try:
import googlemaps
values["google_map_client"] = googlemaps.Client(gplaces_api_key)
except ImportError:
raise ImportError(
"Could not import googlemaps python package. "
"Please install it with `pip install googlemaps`."
)
return values
def run(self, query: str) -> str:
"""Run Places search and get k number of places that exists that match."""
search_results = self.google_map_client.places(query)["results"]
num_to_return = len(search_results)
places = []
if num_to_return == 0:
return "Google Places did not find any places that match the description"
num_to_return = (
num_to_return
if self.top_k_results is None
else min(num_to_return, self.top_k_results)
)
for i in range(num_to_return):
result = search_results[i]
details = self.fetch_place_details(result["place_id"])
if details is not None:
places.append(details)
return "\n".join([f"{i+1}. {item}" for i, item in enumerate(places)])
def fetch_place_details(self, place_id: str) -> Optional[str]:
try:
place_details = self.google_map_client.place(place_id)
place_details["place_id"] = place_id
formatted_details = self.format_place_details(place_details)
return formatted_details
except Exception as e:
logging.error(f"An Error occurred while fetching place details: {e}")
return None
def format_place_details(self, place_details: Dict[str, Any]) -> Optional[str]:
try:
name = place_details.get("result", {}).get("name", "Unknown")
address = place_details.get("result", {}).get(
"formatted_address", "Unknown"
)
phone_number = place_details.get("result", {}).get(
"formatted_phone_number", "Unknown"
)
website = place_details.get("result", {}).get("website", "Unknown")
place_id = place_details.get("result", {}).get("place_id", "Unknown")
formatted_details = (
f"{name}\nAddress: {address}\n"
f"Google place ID: {place_id}\n"
f"Phone: {phone_number}\nWebsite: {website}\n\n"
)
return formatted_details
except Exception as e:
logging.error(f"An error occurred while formatting place details: {e}")
return None