#!/usr/bin/env python
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import argparse

import tritongrpcclient.core as grpcclient
from tritongrpcclient.utils import InferenceServerException

if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('-v',
                        '--verbose',
                        action="store_true",
                        required=False,
                        default=False,
                        help='Enable verbose output')
    parser.add_argument('-u',
                        '--url',
                        type=str,
                        required=False,
                        default='localhost:8001',
                        help='Inference server URL. Default is localhost:8001.')

    FLAGS = parser.parse_args()
    try:
        triton_client = grpcclient.InferenceServerClient(FLAGS.url)
    except Exception as e:
        print("context creation failed: " + str(e))
        sys.exit()

    model_name = 'simple'

    # Health
    if triton_client.is_server_live():
        print("PASS: is_server_live")

    if triton_client.is_server_ready():
        print("PASS: is_server_ready")

    if triton_client.is_model_ready(model_name):
        print("PASS: is_model_ready")

    # Metadata
    metadata = triton_client.get_server_metadata()
    if (metadata.name == 'inference:0'):
        print("PASS: get_server_metadata")

    metadata = triton_client.get_model_metadata(model_name)
    if (metadata.name == model_name):
        print("PASS: get_model_metadata")

    # Passing incorrect model name
    try:
        metadata = triton_client.get_model_metadata("wrong_model_name")
    except InferenceServerException as ex:
        if "no status available for unknown model" in ex.message():
            print("PASS: detected wrong model")

    # Configuration
    config = triton_client.get_model_config(model_name)
    if (config.config.name == model_name):
        print("PASS: get_model_config")
