tests.py

import os

import pytest as pytest
from grouped_sampling import GroupedSamplingPipeLine

from on_server_start import download_useful_models
from hanlde_form_submit import create_pipeline, on_form_submit
from prompt_engeneering import rewrite_prompt
from supported_models import get_supported_model_names

HUGGING_FACE_CACHE_DIR = "/home/yoni/.cache/huggingface/hub"


def test_prompt_engineering():
    example_prompt = "Answer yes or no, is the sky blue?"
    rewritten_prompt = rewrite_prompt(example_prompt)
    assert rewritten_prompt.startswith("Web search results:")
    assert rewritten_prompt.endswith("Query: Answer yes or no, is the sky blue?")
    assert "Current date: " in rewritten_prompt
    assert "Instructions: " in rewritten_prompt


def test_get_supported_model_names():
    supported_model_names = get_supported_model_names()
    assert len(supported_model_names) > 0
    assert "gpt2" in supported_model_names
    assert all(isinstance(name, str) for name in supported_model_names)


def test_on_server_start():
    download_useful_models()
    assert os.path.exists(HUGGING_FACE_CACHE_DIR)
    assert len(os.listdir(HUGGING_FACE_CACHE_DIR)) > 0


def test_on_form_submit():
    model_name = "gpt2"
    output_length = 10
    prompt = "Answer yes or no, is the sky blue?"
    output = on_form_submit(model_name, output_length, prompt)
    assert output is not None
    assert len(output) > 0
    empty_prompt = ""
    with pytest.raises(ValueError):
        on_form_submit(model_name, output_length, empty_prompt)
    unsupported_model_name = "unsupported_model_name"
    with pytest.raises(ValueError):
        on_form_submit(unsupported_model_name, output_length, prompt)


@pytest.mark.parametrize(
    "model_name",
    get_supported_model_names(
        min_number_of_downloads=1000,
        min_number_of_likes=100,
    )
)
def test_create_pipeline(model_name: str):
    pipeline: GroupedSamplingPipeLine = create_pipeline(model_name, 5)
    assert pipeline is not None
    assert pipeline.model_name == model_name
    assert pipeline.wrapped_model.group_size == 5
    assert pipeline.wrapped_model.end_of_sentence_stop is False
    del pipeline


if __name__ == "__main__":
    pytest.main()