tjdify/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py

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.hunyuan.text_embedding.text_embedding import HunyuanTextEmbeddingModel


def test_validate_credentials():
    model = HunyuanTextEmbeddingModel()

    with pytest.raises(CredentialsValidateFailedError):
        model.validate_credentials(
            model="hunyuan-embedding", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"}
        )

    model.validate_credentials(
        model="hunyuan-embedding",
        credentials={
            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
        },
    )


def test_invoke_model():
    model = HunyuanTextEmbeddingModel()

    result = model.invoke(
        model="hunyuan-embedding",
        credentials={
            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
        },
        texts=["hello", "world"],
        user="abc-123",
    )

    assert isinstance(result, TextEmbeddingResult)
    assert len(result.embeddings) == 2
    assert result.usage.total_tokens == 6


def test_get_num_tokens():
    model = HunyuanTextEmbeddingModel()

    num_tokens = model.get_num_tokens(
        model="hunyuan-embedding",
        credentials={
            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
        },
        texts=["hello", "world"],
    )

    assert num_tokens == 2


def test_max_chunks():
    model = HunyuanTextEmbeddingModel()

    result = model.invoke(
        model="hunyuan-embedding",
        credentials={
            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
        },
        texts=[
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
            "hello",
            "world",
        ],
    )

    assert isinstance(result, TextEmbeddingResult)
    assert len(result.embeddings) == 22