# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import importlib
import os
import tempfile
import unittest

import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


SAMPLE_ROBERTA_CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy-config.json")


class NewModelConfig(BertConfig):
    model_type = "new-model"


class AutoConfigTest(unittest.TestCase):
    def test_module_spec(self):
        self.assertIsNotNone(transformers.models.auto.__spec__)
        self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto"))

    def test_config_from_model_shortcut(self):
        config = AutoConfig.from_pretrained("bert-base-uncased")
        self.assertIsInstance(config, BertConfig)

    def test_config_model_type_from_local_file(self):
        config = AutoConfig.from_pretrained(SAMPLE_ROBERTA_CONFIG)
        self.assertIsInstance(config, RobertaConfig)

    def test_config_model_type_from_model_identifier(self):
        config = AutoConfig.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER)
        self.assertIsInstance(config, RobertaConfig)

    def test_config_for_model_str(self):
        config = AutoConfig.for_model("roberta")
        self.assertIsInstance(config, RobertaConfig)

    def test_pattern_matching_fallback(self):
        """
        In cases where config.json doesn't include a model_type,
        perform a few safety checks on the config mapping's order.
        """
        # no key string should be included in a later key string (typical failure case)
        keys = list(CONFIG_MAPPING.keys())
        for i, key in enumerate(keys):
            self.assertFalse(any(key in later_key for later_key in keys[i + 1 :]))

    def test_new_config_registration(self):
        try:
            AutoConfig.register("new-model", NewModelConfig)
            # Wrong model type will raise an error
            with self.assertRaises(ValueError):
                AutoConfig.register("model", NewModelConfig)
            # Trying to register something existing in the Transformers library will raise an error
            with self.assertRaises(ValueError):
                AutoConfig.register("bert", BertConfig)

            # Now that the config is registered, it can be used as any other config with the auto-API
            config = NewModelConfig()
            with tempfile.TemporaryDirectory() as tmp_dir:
                config.save_pretrained(tmp_dir)
                new_config = AutoConfig.from_pretrained(tmp_dir)
                self.assertIsInstance(new_config, NewModelConfig)

        finally:
            if "new-model" in CONFIG_MAPPING._extra_content:
                del CONFIG_MAPPING._extra_content["new-model"]
