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

import os
from collections.abc import Generator

import pytest

from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
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