# Copyright 2021 The KServe Authors.
#
# 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.

# coding: utf-8

"""
    KServe

    Python SDK for KServe  # noqa: E501

    The version of the OpenAPI document: v0.1
    Generated by: https://openapi-generator.tech
"""


from __future__ import absolute_import

import unittest
import datetime

import kserve
from kserve.models.v1beta1_inference_service import V1beta1InferenceService  # noqa: E501
from kserve.rest import ApiException

class TestV1beta1InferenceService(unittest.TestCase):
    """V1beta1InferenceService unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional):
        """Test V1beta1InferenceService
            include_option is a boolean, when False only required
            params are included, when True both required and
            optional params are included """
        # model = kserve.models.v1beta1_inference_service.V1beta1InferenceService()  # noqa: E501
        if include_optional :
            return V1beta1InferenceService(
                api_version = '0', 
                kind = '0', 
                metadata = None, 
                spec = kserve.models.v1beta1_inference_service_spec.V1beta1InferenceServiceSpec(
                    explainer = kserve.models.v1beta1_explainer_spec.V1beta1ExplainerSpec(
                        active_deadline_seconds = 56, 
                        affinity = None, 
                        alibi = kserve.models.v1beta1_alibi_explainer_spec.V1beta1AlibiExplainerSpec(
                            image = '0', 
                            image_pull_policy = '0', 
                            lifecycle = None, 
                            liveness_probe = None, 
                            name = '0', 
                            readiness_probe = None, 
                            resources = None, 
                            runtime_version = '0', 
                            security_context = None, 
                            startup_probe = None, 
                            stdin = True, 
                            stdin_once = True, 
                            storage_uri = '0', 
                            termination_message_path = '0', 
                            termination_message_policy = '0', 
                            tty = True, 
                            type = '0', 
                            working_dir = '0', ), 
                        automount_service_account_token = True, 
                        batcher = kserve.models.v1beta1_batcher.V1beta1Batcher(
                            max_batch_size = 56, 
                            max_latency = 56, 
                            timeout = 56, ), 
                        canary_traffic_percent = 56, 
                        container_concurrency = 56, 
                        containers = [
                            None
                            ], 
                        dns_config = None, 
                        dns_policy = '0', 
                        enable_service_links = True, 
                        ephemeral_containers = [
                            None
                            ], 
                        host_aliases = [
                            None
                            ], 
                        host_ipc = True, 
                        host_network = True, 
                        host_pid = True, 
                        hostname = '0', 
                        image_pull_secrets = [
                            None
                            ], 
                        init_containers = [
                            None
                            ], 
                        logger = kserve.models.v1beta1_logger_spec.V1beta1LoggerSpec(
                            mode = '0', 
                            url = '0', ), 
                        max_replicas = 56, 
                        min_replicas = 56, 
                        node_name = '0', 
                        node_selector = {
                            'key' : '0'
                            }, 
                        overhead = {
                            'key' : None
                            }, 
                        preemption_policy = '0', 
                        priority = 56, 
                        priority_class_name = '0', 
                        readiness_gates = [
                            None
                            ], 
                        restart_policy = '0', 
                        runtime_class_name = '0', 
                        scheduler_name = '0', 
                        security_context = None, 
                        service_account = '0', 
                        service_account_name = '0', 
                        share_process_namespace = True, 
                        subdomain = '0', 
                        termination_grace_period_seconds = 56, 
                        timeout = 56, 
                        tolerations = [
                            None
                            ], 
                        topology_spread_constraints = [
                            None
                            ], 
                        volumes = [
                            None
                            ], ), 
                    predictor = kserve.models.v1beta1_predictor_spec.V1beta1PredictorSpec(
                        active_deadline_seconds = 56, 
                        affinity = None, 
                        automount_service_account_token = True, 
                        canary_traffic_percent = 56, 
                        container_concurrency = 56, 
                        dns_config = None, 
                        dns_policy = '0', 
                        enable_service_links = True, 
                        host_ipc = True, 
                        host_network = True, 
                        host_pid = True, 
                        hostname = '0', 
                        max_replicas = 56, 
                        min_replicas = 56, 
                        node_name = '0', 
                        onnx = kserve.models.v1beta1_onnx_runtime_spec.V1beta1ONNXRuntimeSpec(
                            image = '0', 
                            image_pull_policy = '0', 
                            lifecycle = None, 
                            liveness_probe = None, 
                            name = '0', 
                            readiness_probe = None, 
                            resources = None, 
                            runtime_version = '0', 
                            security_context = None, 
                            startup_probe = None, 
                            stdin = True, 
                            stdin_once = True, 
                            storage_uri = '0', 
                            termination_message_path = '0', 
                            termination_message_policy = '0', 
                            tty = True, 
                            working_dir = '0', ), 
                        preemption_policy = '0', 
                        priority = 56, 
                        priority_class_name = '0', 
                        pytorch = kserve.models.v1beta1_torch_serve_spec.V1beta1TorchServeSpec(
                            image = '0', 
                            image_pull_policy = '0', 
                            lifecycle = None, 
                            liveness_probe = None, 
                            name = '0',
                            readiness_probe = None, 
                            resources = None, 
                            runtime_version = '0', 
                            security_context = None, 
                            startup_probe = None, 
                            stdin = True, 
                            stdin_once = True, 
                            storage_uri = '0', 
                            termination_message_path = '0', 
                            termination_message_policy = '0', 
                            tty = True, 
                            working_dir = '0', ), 
                        restart_policy = '0', 
                        runtime_class_name = '0', 
                        scheduler_name = '0', 
                        security_context = None, 
                        service_account = '0', 
                        service_account_name = '0', 
                        share_process_namespace = True, 
                        sklearn = kserve.models.v1beta1_sk_learn_spec.V1beta1SKLearnSpec(
                            image = '0', 
                            image_pull_policy = '0', 
                            lifecycle = None, 
                            liveness_probe = None, 
                            name = '0', 
                            readiness_probe = None, 
                            resources = None, 
                            runtime_version = '0', 
                            security_context = None, 
                            startup_probe = None, 
                            stdin = True, 
                            stdin_once = True, 
                            storage_uri = '0', 
                            termination_message_path = '0', 
                            termination_message_policy = '0', 
                            tty = True, 
                            working_dir = '0', ), 
                        subdomain = '0', 
                        tensorflow = kserve.models.v1beta1_tf_serving_spec.V1beta1TFServingSpec(
                            image = '0', 
                            image_pull_policy = '0', 
                            lifecycle = None, 
                            liveness_probe = None, 
                            name = '0', 
                            readiness_probe = None, 
                            resources = None, 
                            runtime_version = '0', 
                            security_context = None, 
                            startup_probe = None, 
                            stdin = True, 
                            stdin_once = True, 
                            storage_uri = '0', 
                            termination_message_path = '0', 
                            termination_message_policy = '0', 
                            tty = True, 
                            working_dir = '0', ), 
                        termination_grace_period_seconds = 56, 
                        timeout = 56, 
                        triton = kserve.models.v1beta1_triton_spec.V1beta1TritonSpec(
                            image = '0', 
                            image_pull_policy = '0', 
                            lifecycle = None, 
                            liveness_probe = None, 
                            name = '0', 
                            readiness_probe = None, 
                            resources = None, 
                            runtime_version = '0', 
                            security_context = None, 
                            startup_probe = None, 
                            stdin = True, 
                            stdin_once = True, 
                            storage_uri = '0', 
                            termination_message_path = '0', 
                            termination_message_policy = '0', 
                            tty = True, 
                            working_dir = '0', ), 
                        xgboost = kserve.models.v1beta1_xg_boost_spec.V1beta1XGBoostSpec(
                            image = '0', 
                            image_pull_policy = '0', 
                            lifecycle = None, 
                            liveness_probe = None, 
                            name = '0', 
                            readiness_probe = None, 
                            resources = None, 
                            runtime_version = '0', 
                            security_context = None, 
                            startup_probe = None, 
                            stdin = True, 
                            stdin_once = True, 
                            storage_uri = '0', 
                            termination_message_path = '0', 
                            termination_message_policy = '0', 
                            tty = True, 
                            working_dir = '0', ), ), 
                    transformer = kserve.models.v1beta1_transformer_spec.V1beta1TransformerSpec(
                        active_deadline_seconds = 56, 
                        affinity = None, 
                        automount_service_account_token = True, 
                        canary_traffic_percent = 56, 
                        container_concurrency = 56, 
                        dns_config = None, 
                        dns_policy = '0', 
                        enable_service_links = True, 
                        host_ipc = True, 
                        host_network = True, 
                        host_pid = True, 
                        hostname = '0', 
                        max_replicas = 56, 
                        min_replicas = 56, 
                        node_name = '0', 
                        preemption_policy = '0', 
                        priority = 56, 
                        priority_class_name = '0', 
                        restart_policy = '0', 
                        runtime_class_name = '0', 
                        scheduler_name = '0', 
                        security_context = None, 
                        service_account = '0', 
                        service_account_name = '0', 
                        share_process_namespace = True, 
                        subdomain = '0', 
                        termination_grace_period_seconds = 56, 
                        timeout = 56, ), ), 
                status = kserve.models.v1beta1_inference_service_status.V1beta1InferenceServiceStatus(
                    address = None, 
                    components = {
                        'key' : kserve.models.v1beta1_component_status_spec.V1beta1ComponentStatusSpec(
                            address = None, 
                            latest_created_revision = '0', 
                            latest_ready_revision = '0',
                            latest_rolledout_revision = '0',
                            previous_rolledout_revision = '0',
                            traffic = list(),
                            url = None, )
                        }, 
                    conditions = [
                        None
                        ], 
                    observed_generation = 56, 
                    url = None, )
            )
        else :
            return V1beta1InferenceService(
        )

    def testV1beta1InferenceService(self):
        """Test V1beta1InferenceService"""
        inst_req_only = self.make_instance(include_optional=False)
        inst_req_and_optional = self.make_instance(include_optional=True)


if __name__ == '__main__':
    unittest.main()
