mirror of
https://github.com/hwchase17/langchain.git
synced 2025-04-29 12:25:37 +00:00
Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com> Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com> Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: ZhangShenao <15201440436@163.com> Co-authored-by: Friso H. Kingma <fhkingma@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Morgante Pell <morgantep@google.com>
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
"""Util that calls WolframAlpha."""
|
|
|
|
from typing import Any, Dict, Optional
|
|
|
|
from langchain_core.utils import get_from_dict_or_env
|
|
from pydantic import BaseModel, ConfigDict, model_validator
|
|
|
|
|
|
class WolframAlphaAPIWrapper(BaseModel):
|
|
"""Wrapper for Wolfram Alpha.
|
|
|
|
Docs for using:
|
|
|
|
1. Go to wolfram alpha and sign up for a developer account
|
|
2. Create an app and get your APP ID
|
|
3. Save your APP ID into WOLFRAM_ALPHA_APPID env variable
|
|
4. pip install wolframalpha
|
|
|
|
"""
|
|
|
|
wolfram_client: Any = None #: :meta private:
|
|
wolfram_alpha_appid: Optional[str] = None
|
|
|
|
model_config = ConfigDict(
|
|
extra="forbid",
|
|
)
|
|
|
|
@model_validator(mode="before")
|
|
@classmethod
|
|
def validate_environment(cls, values: Dict) -> Any:
|
|
"""Validate that api key and python package exists in environment."""
|
|
wolfram_alpha_appid = get_from_dict_or_env(
|
|
values, "wolfram_alpha_appid", "WOLFRAM_ALPHA_APPID"
|
|
)
|
|
values["wolfram_alpha_appid"] = wolfram_alpha_appid
|
|
|
|
try:
|
|
import wolframalpha
|
|
|
|
except ImportError:
|
|
raise ImportError(
|
|
"wolframalpha is not installed. "
|
|
"Please install it with `pip install wolframalpha`"
|
|
)
|
|
client = wolframalpha.Client(wolfram_alpha_appid)
|
|
values["wolfram_client"] = client
|
|
|
|
return values
|
|
|
|
def run(self, query: str) -> str:
|
|
"""Run query through WolframAlpha and parse result."""
|
|
res = self.wolfram_client.query(query)
|
|
|
|
try:
|
|
assumption = next(res.pods).text
|
|
answer = next(res.results).text
|
|
except StopIteration:
|
|
return "Wolfram Alpha wasn't able to answer it"
|
|
|
|
if answer is None or answer == "":
|
|
# We don't want to return the assumption alone if answer is empty
|
|
return "No good Wolfram Alpha Result was found"
|
|
else:
|
|
return f"Assumption: {assumption} \nAnswer: {answer}"
|