tjdify/api/tests/integration_tests/model_runtime/spark/test_llm.py

import os
from typing import Generator

import pytest

from core.model_runtime.entities.message_entities import SystemPromptMessage, UserPromptMessage, AssistantPromptMessage
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, \
    LLMResultChunkDelta
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.spark.llm.llm import SparkLargeLanguageModel


def test_validate_credentials():
    model = SparkLargeLanguageModel()

    with pytest.raises(CredentialsValidateFailedError):
        model.validate_credentials(
            model='spark-1.5',
            credentials={
                'app_id': 'invalid_key'
            }
        )

    model.validate_credentials(
        model='spark-1.5',
        credentials={
            'app_id': os.environ.get('SPARK_APP_ID'),
            'api_secret': os.environ.get('SPARK_API_SECRET'),
            'api_key': os.environ.get('SPARK_API_KEY')
        }
    )


def test_invoke_model():
    model = SparkLargeLanguageModel()

    response = model.invoke(
        model='spark-1.5',
        credentials={
            'app_id': os.environ.get('SPARK_APP_ID'),
            'api_secret': os.environ.get('SPARK_API_SECRET'),
            'api_key': os.environ.get('SPARK_API_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Who are you?'
            )
        ],
        model_parameters={
            'temperature': 0.5,
            'max_tokens': 10
        },
        stop=['How'],
        stream=False,
        user="abc-123"
    )

    assert isinstance(response, LLMResult)
    assert len(response.message.content) > 0


def test_invoke_stream_model():
    model = SparkLargeLanguageModel()

    response = model.invoke(
        model='spark-1.5',
        credentials={
            'app_id': os.environ.get('SPARK_APP_ID'),
            'api_secret': os.environ.get('SPARK_API_SECRET'),
            'api_key': os.environ.get('SPARK_API_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        model_parameters={
            'temperature': 0.5,
            'max_tokens': 100
        },
        stream=True,
        user="abc-123"
    )

    assert isinstance(response, Generator)

    for chunk in response:
        assert isinstance(chunk, LLMResultChunk)
        assert isinstance(chunk.delta, LLMResultChunkDelta)
        assert isinstance(chunk.delta.message, AssistantPromptMessage)
        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True


def test_get_num_tokens():
    model = SparkLargeLanguageModel()

    num_tokens = model.get_num_tokens(
        model='spark-1.5',
        credentials={
            'app_id': os.environ.get('SPARK_APP_ID'),
            'api_secret': os.environ.get('SPARK_API_SECRET'),
            'api_key': os.environ.get('SPARK_API_KEY')
        },
        prompt_messages=[
            SystemPromptMessage(
                content='You are a helpful AI assistant.',
            ),
            UserPromptMessage(
                content='Hello World!'
            )
        ]
    )

    assert num_tokens == 14