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
108 lines
3.7 KiB
Python
108 lines
3.7 KiB
Python
"""Util that calls Merriam-Webster."""
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import json
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from typing import Dict, Iterator, List, Optional
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from urllib.parse import quote
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import requests
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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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MERRIAM_WEBSTER_API_URL = (
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"https://www.dictionaryapi.com/api/v3/references/collegiate/json"
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)
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MERRIAM_WEBSTER_TIMEOUT = 5000
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class MerriamWebsterAPIWrapper(BaseModel):
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"""Wrapper for Merriam-Webster.
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Docs for using:
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1. Go to https://www.dictionaryapi.com/register/index and register an
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developer account with a key for the Collegiate Dictionary
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2. Get your API Key from https://www.dictionaryapi.com/account/my-keys
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3. Save your API Key into MERRIAM_WEBSTER_API_KEY env variable
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"""
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merriam_webster_api_key: Optional[str] = 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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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key exists in environment."""
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merriam_webster_api_key = get_from_dict_or_env(
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values, "merriam_webster_api_key", "MERRIAM_WEBSTER_API_KEY"
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)
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values["merriam_webster_api_key"] = merriam_webster_api_key
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return values
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def run(self, query: str) -> str:
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"""Run query through Merriam-Webster API and return a formatted result."""
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quoted_query = quote(query)
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request_url = (
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f"{MERRIAM_WEBSTER_API_URL}/{quoted_query}"
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f"?key={self.merriam_webster_api_key}"
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)
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response = requests.get(request_url, timeout=MERRIAM_WEBSTER_TIMEOUT)
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if response.status_code != 200:
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return response.text
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return self._format_response(query, response)
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def _format_response(self, query: str, response: requests.Response) -> str:
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content = json.loads(response.content)
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if not content:
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return f"No Merriam-Webster definition was found for query '{query}'."
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if isinstance(content[0], str):
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result = f"No Merriam-Webster definition was found for query '{query}'.\n"
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if len(content) > 1:
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alternatives = [f"{i + 1}. {content[i]}" for i in range(len(content))]
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result += "You can try one of the following alternative queries:\n\n"
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result += "\n".join(alternatives)
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else:
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result += f"Did you mean '{content[0]}'?"
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else:
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result = self._format_definitions(query, content)
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return result
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def _format_definitions(self, query: str, definitions: List[Dict]) -> str:
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formatted_definitions: List[str] = []
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for definition in definitions:
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formatted_definitions.extend(self._format_definition(definition))
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if len(formatted_definitions) == 1:
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return f"Definition of '{query}':\n" f"{formatted_definitions[0]}"
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result = f"Definitions of '{query}':\n\n"
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for i, formatted_definition in enumerate(formatted_definitions, 1):
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result += f"{i}. {formatted_definition}\n"
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return result
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def _format_definition(self, definition: Dict) -> Iterator[str]:
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if "hwi" in definition:
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headword = definition["hwi"]["hw"].replace("*", "-")
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else:
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headword = definition["meta"]["id"].split(":")[0]
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if "fl" in definition:
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functional_label = definition["fl"]
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if "shortdef" in definition:
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for short_def in definition["shortdef"]:
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yield f"{headword}, {functional_label}: {short_def}"
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else:
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yield f"{headword}, {functional_label}"
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