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Update all utilities to use `pre=True` or `pre=False` https://github.com/langchain-ai/langchain/issues/22819
67 lines
1.8 KiB
Python
67 lines
1.8 KiB
Python
"""Util that calls Golden."""
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import json
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from typing import Dict, Optional
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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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GOLDEN_BASE_URL = "https://golden.com"
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GOLDEN_TIMEOUT = 5000
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class GoldenQueryAPIWrapper(BaseModel):
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"""Wrapper for Golden.
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Docs for using:
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1. Go to https://golden.com and sign up for an account
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2. Get your API Key from https://golden.com/settings/api
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3. Save your API Key into GOLDEN_API_KEY env variable
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"""
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golden_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(pre=True)
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key and python package exists in environment."""
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golden_api_key = get_from_dict_or_env(
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values, "golden_api_key", "GOLDEN_API_KEY"
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)
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values["golden_api_key"] = golden_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 Golden Query API and return the JSON raw result."""
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headers = {"apikey": self.golden_api_key or ""}
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response = requests.post(
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f"{GOLDEN_BASE_URL}/api/v2/public/queries/",
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json={"prompt": query},
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headers=headers,
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timeout=GOLDEN_TIMEOUT,
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)
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if response.status_code != 201:
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return response.text
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content = json.loads(response.content)
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query_id = content["id"]
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response = requests.get(
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(
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f"{GOLDEN_BASE_URL}/api/v2/public/queries/{query_id}/results/"
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"?pageSize=10"
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),
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headers=headers,
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timeout=GOLDEN_TIMEOUT,
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)
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return response.text
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