# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0

# DeepSpeed Team

# tests directory-specific settings - this file is run automatically by pytest before any tests are run

import sys
import pytest
import os
from os.path import abspath, dirname, join
import torch
import warnings

# Set this environment variable for the T5 inference unittest(s) (e.g. google/t5-v1_1-small)
os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"

# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
git_repo_path = abspath(join(dirname(dirname(__file__)), "src"))
sys.path.insert(1, git_repo_path)


def pytest_configure(config):
    #    config.option.color = "yes"
    #    config.option.durations = 0
    #    config.option.durations_min = 1
    config.option.verbose = True


def pytest_addoption(parser):
    parser.addoption("--torch_ver", default=None, type=str)
    parser.addoption("--cuda_ver", default=None, type=str)


def validate_version(expected, found):
    version_depth = expected.count(".") + 1
    found = ".".join(found.split(".")[:version_depth])
    return found == expected


@pytest.fixture(scope="session", autouse=True)
def check_environment(pytestconfig):
    expected_torch_version = pytestconfig.getoption("torch_ver")
    expected_cuda_version = pytestconfig.getoption("cuda_ver")
    if expected_torch_version is None:
        warnings.warn(
            "Running test without verifying torch version, please provide an expected torch version with --torch_ver"
        )
    elif not validate_version(expected_torch_version, torch.__version__):
        pytest.exit(
            f"expected torch version {expected_torch_version} did not match found torch version {torch.__version__}",
            returncode=2,
        )
    if expected_cuda_version is None:
        warnings.warn(
            "Running test without verifying cuda version, please provide an expected cuda version with --cuda_ver"
        )
    elif not validate_version(expected_cuda_version, torch.version.cuda):
        pytest.exit(
            f"expected cuda version {expected_cuda_version} did not match found cuda version {torch.version.cuda}",
            returncode=2,
        )


# Override of pytest "runtest" for DistributedTest class
# This hook is run before the default pytest_runtest_call
@pytest.hookimpl(tryfirst=True)
def pytest_runtest_call(item):
    # We want to use our own launching function for distributed tests
    if getattr(item.cls, "is_dist_test", False):
        dist_test_class = item.cls()
        dist_test_class(item._request)
        item.runtest = lambda: True  # Dummy function so test is not run twice


# We allow DistributedTest to reuse distributed environments. When the last
# test for a class is run, we want to make sure those distributed environments
# are destroyed.
def pytest_runtest_teardown(item, nextitem):
    if getattr(item.cls, "reuse_dist_env", False) and not nextitem:
        dist_test_class = item.cls()
        for num_procs, pool in dist_test_class._pool_cache.items():
            dist_test_class._close_pool(pool, num_procs, force=True)


@pytest.hookimpl(tryfirst=True)
def pytest_fixture_setup(fixturedef, request):
    if getattr(fixturedef.func, "is_dist_fixture", False):
        dist_fixture_class = fixturedef.func()
        dist_fixture_class(request)