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https://github.com/hwchase17/langchain.git
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844955d6e1
Assigning missed defaults in various classes. Most clients were being
assigned during the `model_validator(mode="before")` step, so this
change should amount to a no-op in those cases.
---
This PR was autogenerated using gritql
```shell
grit apply 'class_definition(name=$C, $body, superclasses=$S) where {
$C <: ! "Config", // Does not work in this scope, but works after class_definition
$body <: block($statements),
$statements <: some bubble assignment(left=$x, right=$y, type=$t) as $A where {
or {
$y <: `Field($z)`,
$x <: "model_config"
}
},
// And has either Any or Optional fields without a default
$statements <: some bubble assignment(left=$x, right=$y, type=$t) as $A where {
$t <: or {
r"Optional.*",
r"Any",
r"Union[None, .*]",
r"Union[.*, None, .*]",
r"Union[.*, None]",
},
$y <: ., // Match empty node
$t => `$t = None`,
},
}
' --language python .
```
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
"""Util that calls WolframAlpha."""
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from typing import Any, Dict, Optional
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from langchain_core.utils import get_from_dict_or_env
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from pydantic import BaseModel, ConfigDict, model_validator
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class WolframAlphaAPIWrapper(BaseModel):
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"""Wrapper for Wolfram Alpha.
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Docs for using:
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1. Go to wolfram alpha and sign up for a developer account
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2. Create an app and get your APP ID
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3. Save your APP ID into WOLFRAM_ALPHA_APPID env variable
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4. pip install wolframalpha
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"""
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wolfram_client: Any = None #: :meta private:
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wolfram_alpha_appid: Optional[str] = None
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model_config = ConfigDict(
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extra="forbid",
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)
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@model_validator(mode="before")
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@classmethod
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def validate_environment(cls, values: Dict) -> Any:
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"""Validate that api key and python package exists in environment."""
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wolfram_alpha_appid = get_from_dict_or_env(
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values, "wolfram_alpha_appid", "WOLFRAM_ALPHA_APPID"
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)
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values["wolfram_alpha_appid"] = wolfram_alpha_appid
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try:
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import wolframalpha
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except ImportError:
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raise ImportError(
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"wolframalpha is not installed. "
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"Please install it with `pip install wolframalpha`"
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)
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client = wolframalpha.Client(wolfram_alpha_appid)
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values["wolfram_client"] = client
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return values
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def run(self, query: str) -> str:
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"""Run query through WolframAlpha and parse result."""
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res = self.wolfram_client.query(query)
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try:
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assumption = next(res.pods).text
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answer = next(res.results).text
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except StopIteration:
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return "Wolfram Alpha wasn't able to answer it"
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if answer is None or answer == "":
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# We don't want to return the assumption alone if answer is empty
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return "No good Wolfram Alpha Result was found"
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else:
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return f"Assumption: {assumption} \nAnswer: {answer}"
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