import os
from typing import cast

import pytest
from langchain_core.pydantic_v1 import SecretStr, ValidationError

from langchain_community.embeddings import SparkLLMTextEmbeddings


def test_sparkllm_initialization_by_alias() -> None:
    # Effective initialization
    embeddings = SparkLLMTextEmbeddings(
        app_id="your-app-id",  # type: ignore[arg-type]
        api_key="your-api-key",  # type: ignore[arg-type]
        api_secret="your-api-secret",  # type: ignore[arg-type]
    )
    assert cast(SecretStr, embeddings.spark_app_id).get_secret_value() == "your-app-id"
    assert (
        cast(SecretStr, embeddings.spark_api_key).get_secret_value() == "your-api-key"
    )
    assert (
        cast(SecretStr, embeddings.spark_api_secret).get_secret_value()
        == "your-api-secret"
    )


def test_initialization_parameters_from_env() -> None:
    # Setting environment variable
    os.environ["SPARK_APP_ID"] = "your-app-id"
    os.environ["SPARK_API_KEY"] = "your-api-key"
    os.environ["SPARK_API_SECRET"] = "your-api-secret"

    # Effective initialization
    embeddings = SparkLLMTextEmbeddings()
    assert cast(SecretStr, embeddings.spark_app_id).get_secret_value() == "your-app-id"
    assert (
        cast(SecretStr, embeddings.spark_api_key).get_secret_value() == "your-api-key"
    )
    assert (
        cast(SecretStr, embeddings.spark_api_secret).get_secret_value()
        == "your-api-secret"
    )

    # Environment variable missing
    del os.environ["SPARK_APP_ID"]
    with pytest.raises(ValidationError):
        SparkLLMTextEmbeddings()