import os

import pytest

from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.volcengine_maas.text_embedding.text_embedding import (
    VolcengineMaaSTextEmbeddingModel,
)


def test_validate_credentials():
    model = VolcengineMaaSTextEmbeddingModel()

    with pytest.raises(CredentialsValidateFailedError):
        model.validate_credentials(
            model='NOT IMPORTANT',
            credentials={
                'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
                'volc_region': 'cn-beijing',
                'volc_access_key_id': 'INVALID',
                'volc_secret_access_key': 'INVALID',
                'endpoint_id': 'INVALID',
                'base_model_name': 'Doubao-embedding',
            }
        )

    model.validate_credentials(
        model='NOT IMPORTANT',
        credentials={
            'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
            'volc_region': 'cn-beijing',
            'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
            'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
            'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'),
            'base_model_name': 'Doubao-embedding',
        },
    )


def test_invoke_model():
    model = VolcengineMaaSTextEmbeddingModel()

    result = model.invoke(
        model='NOT IMPORTANT',
        credentials={
            'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
            'volc_region': 'cn-beijing',
            'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
            'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
            'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'),
            'base_model_name': 'Doubao-embedding',
        },
        texts=[
            "hello",
            "world"
        ],
        user="abc-123"
    )

    assert isinstance(result, TextEmbeddingResult)
    assert len(result.embeddings) == 2
    assert result.usage.total_tokens > 0


def test_get_num_tokens():
    model = VolcengineMaaSTextEmbeddingModel()

    num_tokens = model.get_num_tokens(
        model='NOT IMPORTANT',
        credentials={
            'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
            'volc_region': 'cn-beijing',
            'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
            'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
            'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'),
            'base_model_name': 'Doubao-embedding',
        },
        texts=[
            "hello",
            "world"
        ]
    )

    assert num_tokens == 2