mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
ed58eeb9c5
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
115 lines
4.0 KiB
Python
115 lines
4.0 KiB
Python
"""Chain that calls Google Places API.
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"""
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import logging
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from typing import Any, Dict, Optional
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from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
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from langchain_core.utils import get_from_dict_or_env
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class GooglePlacesAPIWrapper(BaseModel):
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"""Wrapper around Google Places API.
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To use, you should have the ``googlemaps`` python package installed,
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**an API key for the google maps platform**,
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and the environment variable ''GPLACES_API_KEY''
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set with your API key , or pass 'gplaces_api_key'
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as a named parameter to the constructor.
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By default, this will return the all the results on the input query.
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You can use the top_k_results argument to limit the number of results.
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Example:
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.. code-block:: python
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from langchain_community.utilities import GooglePlacesAPIWrapper
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gplaceapi = GooglePlacesAPIWrapper()
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"""
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gplaces_api_key: Optional[str] = None
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google_map_client: Any #: :meta private:
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top_k_results: Optional[int] = None
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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arbitrary_types_allowed = True
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key is in your environment variable."""
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gplaces_api_key = get_from_dict_or_env(
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values, "gplaces_api_key", "GPLACES_API_KEY"
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)
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values["gplaces_api_key"] = gplaces_api_key
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try:
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import googlemaps
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values["google_map_client"] = googlemaps.Client(gplaces_api_key)
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except ImportError:
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raise ImportError(
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"Could not import googlemaps python package. "
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"Please install it with `pip install googlemaps`."
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)
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return values
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def run(self, query: str) -> str:
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"""Run Places search and get k number of places that exists that match."""
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search_results = self.google_map_client.places(query)["results"]
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num_to_return = len(search_results)
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places = []
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if num_to_return == 0:
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return "Google Places did not find any places that match the description"
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num_to_return = (
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num_to_return
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if self.top_k_results is None
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else min(num_to_return, self.top_k_results)
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)
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for i in range(num_to_return):
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result = search_results[i]
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details = self.fetch_place_details(result["place_id"])
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if details is not None:
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places.append(details)
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return "\n".join([f"{i+1}. {item}" for i, item in enumerate(places)])
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def fetch_place_details(self, place_id: str) -> Optional[str]:
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try:
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place_details = self.google_map_client.place(place_id)
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place_details["place_id"] = place_id
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formatted_details = self.format_place_details(place_details)
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return formatted_details
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except Exception as e:
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logging.error(f"An Error occurred while fetching place details: {e}")
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return None
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def format_place_details(self, place_details: Dict[str, Any]) -> Optional[str]:
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try:
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name = place_details.get("result", {}).get("name", "Unknown")
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address = place_details.get("result", {}).get(
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"formatted_address", "Unknown"
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)
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phone_number = place_details.get("result", {}).get(
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"formatted_phone_number", "Unknown"
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)
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website = place_details.get("result", {}).get("website", "Unknown")
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place_id = place_details.get("result", {}).get("place_id", "Unknown")
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formatted_details = (
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f"{name}\nAddress: {address}\n"
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f"Google place ID: {place_id}\n"
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f"Phone: {phone_number}\nWebsite: {website}\n\n"
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)
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return formatted_details
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except Exception as e:
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logging.error(f"An error occurred while formatting place details: {e}")
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return None
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