# Copyright 2017 Google Inc.
#
# 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.
# 
# Edit by Max 2020/1/11
# 因應工作需求, 改寫 snippets.py
# File from https://github.com/GoogleCloudPlatform/python-docs-samples/tree/master/monitoring/api/v3/cloud-client


import argparse
import os
import pprint
import random
import time

from google.cloud import monitoring_v3


# Avoid collisions with other runs
RANDOM_SUFFIX = str(random.randint(1000, 9999))


def create_metric_descriptor(project_id):
    # [START monitoring_create_metric]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)
    descriptor = monitoring_v3.types.MetricDescriptor()
    descriptor.type = 'custom.googleapis.com/my_metric' + RANDOM_SUFFIX
    descriptor.metric_kind = (
        monitoring_v3.enums.MetricDescriptor.MetricKind.GAUGE)
    descriptor.value_type = (
        monitoring_v3.enums.MetricDescriptor.ValueType.DOUBLE)
    descriptor.description = 'This is a simple example of a custom metric.'
    descriptor = client.create_metric_descriptor(project_name, descriptor)
    print('Created {}.'.format(descriptor.name))
    # [END monitoring_create_metric]


def delete_metric_descriptor(descriptor_name):
    # [START monitoring_delete_metric]
    client = monitoring_v3.MetricServiceClient()
    client.delete_metric_descriptor(descriptor_name)
    print('Deleted metric descriptor {}.'.format(descriptor_name))
    # [END monitoring_delete_metric]


def write_time_series(project_id):
    # [START monitoring_write_timeseries]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)

    series = monitoring_v3.types.TimeSeries()
    series.metric.type = 'custom.googleapis.com/my_metric' + RANDOM_SUFFIX
    series.resource.type = 'gce_instance'
    series.resource.labels['instance_id'] = '1234567890123456789'
    series.resource.labels['zone'] = 'us-central1-f'
    point = series.points.add()
    point.value.double_value = 3.14
    now = time.time()
    point.interval.end_time.seconds = int(now)
    point.interval.end_time.nanos = int(
        (now - point.interval.end_time.seconds) * 10**9)
    client.create_time_series(project_name, [series])
    # [END monitoring_write_timeseries]


def list_time_series(project_id):
    # [START monitoring_read_timeseries_simple]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)
    interval = monitoring_v3.types.TimeInterval()
    now = time.time()
    interval.end_time.seconds = int(now)
    interval.end_time.nanos = int(
        (now - interval.end_time.seconds) * 10**9)
    interval.start_time.seconds = int(now - 1200)
    interval.start_time.nanos = interval.end_time.nanos
    results = client.list_time_series(
        project_name,
        'metric.type = "compute.googleapis.com/instance/cpu/utilization"',
        interval,
        monitoring_v3.enums.ListTimeSeriesRequest.TimeSeriesView.FULL)
    for result in results:
        print(result)
    # [END monitoring_read_timeseries_simple]


def list_time_series_header(project_id):
    # [START monitoring_read_timeseries_fields]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)
    interval = monitoring_v3.types.TimeInterval()
    now = time.time()
    interval.end_time.seconds = int(now)
    interval.end_time.nanos = int(
        (now - interval.end_time.seconds) * 10**9)
    interval.start_time.seconds = int(now - 1200)
    interval.start_time.nanos = interval.end_time.nanos
    results = client.list_time_series(
        project_name,
        'metric.type = "compute.googleapis.com/instance/cpu/utilization"',
        interval,
        monitoring_v3.enums.ListTimeSeriesRequest.TimeSeriesView.HEADERS)
    for result in results:
        print(result)
    # [END monitoring_read_timeseries_fields]


# 改寫 list_time_series_aggregate
# 

# 這邊定義要查詢的區間

query_time = input("Please input your query time in seconds, for example, 7 Days is 604800:  ") or 604800
query_time_int=int(query_time) # 這邊將 query_time type 從 str 轉型為 int
print("")
cpu_threshold = input("Please input cpu usage under threshold, like 0.2 for 20%:  ") or 0.2
cpu_threshold_float = float(cpu_threshold)
print("")

def list_time_series_aggregate(project_id):
    # [START monitoring_read_timeseries_align]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)
    interval = monitoring_v3.types.TimeInterval()
    now = time.time()
    interval.end_time.seconds = int(now)
    interval.end_time.nanos = int(
        (now - interval.end_time.seconds) * 10**9)
    interval.start_time.seconds = int(now - query_time_int) # 這邊用 query_time 來彈性調整
    interval.start_time.nanos = interval.end_time.nanos
    aggregation = monitoring_v3.types.Aggregation()
    aggregation.alignment_period.seconds = query_time_int  # 這邊用 query_time 來彈性調整
    aggregation.per_series_aligner = (
        monitoring_v3.enums.Aggregation.Aligner.ALIGN_MEAN)

    results = client.list_time_series(
        project_name,
        'metric.type = "compute.googleapis.com/instance/cpu/utilization"',
        interval,
        monitoring_v3.enums.ListTimeSeriesRequest.TimeSeriesView.FULL,
        aggregation)
    for result in results:
      cpuUtil = result.points[0].value.double_value
      if cpuUtil < cpu_threshold_float: #需要判斷的 CPU threshold, 用 cpu_threshold 來彈性調整
          print("instance name:", result.metric.labels) # 列出 instance 名稱
          # instance_id 是放在 resource.labels 下, 以字典的方式儲存, 所以透過 ['KEY_NAME'] 取出
          print("instance id:", result.resource.labels['instance_id']) # 列出 instance id 來區別同樣名稱的 VM
          print("CPU utilization:", cpuUtil *100, "% \n") # 列出 cpu 使用量
    #    print(result) 註解原來的方式
    # [END monitoring_read_timeseries_align]


def list_time_series_reduce(project_id):
    # [START monitoring_read_timeseries_reduce]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)
    interval = monitoring_v3.types.TimeInterval()
    now = time.time()
    interval.end_time.seconds = int(now)
    interval.end_time.nanos = int(
        (now - interval.end_time.seconds) * 10**9)
    interval.start_time.seconds = int(now - 3600)
    interval.start_time.nanos = interval.end_time.nanos
    aggregation = monitoring_v3.types.Aggregation()
    aggregation.alignment_period.seconds = 1200  # 20 minutes
    aggregation.per_series_aligner = (
        monitoring_v3.enums.Aggregation.Aligner.ALIGN_MEAN)
    aggregation.cross_series_reducer = (
        monitoring_v3.enums.Aggregation.Reducer.REDUCE_MEAN)
    aggregation.group_by_fields.append('resource.zone')

    results = client.list_time_series(
        project_name,
        'metric.type = "compute.googleapis.com/instance/cpu/utilization"',
        interval,
        monitoring_v3.enums.ListTimeSeriesRequest.TimeSeriesView.FULL,
        aggregation)
    for result in results:
        print(result)
    # [END monitoring_read_timeseries_reduce]


def list_metric_descriptors(project_id):
    # [START monitoring_list_descriptors]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)
    for descriptor in client.list_metric_descriptors(project_name):
        print(descriptor.type)
    # [END monitoring_list_descriptors]


def list_monitored_resources(project_id):
    # [START monitoring_list_resources]
    client = monitoring_v3.MetricServiceClient()
    project_name = client.project_path(project_id)
    resource_descriptors = (
        client.list_monitored_resource_descriptors(project_name))
    for descriptor in resource_descriptors:
        print(descriptor.type)
    # [END monitoring_list_resources]


def get_monitored_resource_descriptor(project_id, resource_type_name):
    # [START monitoring_get_resource]
    client = monitoring_v3.MetricServiceClient()
    resource_path = client.monitored_resource_descriptor_path(
        project_id, resource_type_name)
    pprint.pprint(client.get_monitored_resource_descriptor(resource_path))
    # [END monitoring_get_resource]


def get_metric_descriptor(metric_name):
    # [START monitoring_get_descriptor]
    client = monitoring_v3.MetricServiceClient()
    descriptor = client.get_metric_descriptor(metric_name)
    pprint.pprint(descriptor)
    # [END monitoring_get_descriptor]


class MissingProjectIdError(Exception):
    pass


def project_id():
    """Retreives the project id from the environment variable.

    Raises:
        MissingProjectIdError -- When not set.

    Returns:
        str -- the project name
    """
    project_id = (os.environ['GOOGLE_CLOUD_PROJECT'] or
                  os.environ['GCLOUD_PROJECT'])

    if not project_id:
        raise MissingProjectIdError(
            'Set the environment variable ' +
            'GCLOUD_PROJECT to your Google Cloud Project Id.')
    return project_id


if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        description='Demonstrates Monitoring API operations.')

    subparsers = parser.add_subparsers(dest='command')

    create_metric_descriptor_parser = subparsers.add_parser(
        'create-metric-descriptor',
        help=create_metric_descriptor.__doc__
    )

    list_metric_descriptor_parser = subparsers.add_parser(
        'list-metric-descriptors',
        help=list_metric_descriptors.__doc__
    )

    get_metric_descriptor_parser = subparsers.add_parser(
        'get-metric-descriptor',
        help=get_metric_descriptor.__doc__
    )

    get_metric_descriptor_parser.add_argument(
        '--metric-type-name',
        help='The metric type of the metric descriptor to see details about.',
        required=True
    )

    delete_metric_descriptor_parser = subparsers.add_parser(
        'delete-metric-descriptor',
        help=list_metric_descriptors.__doc__
    )

    delete_metric_descriptor_parser.add_argument(
        '--metric-descriptor-name',
        help='Metric descriptor to delete',
        required=True
    )

    list_resources_parser = subparsers.add_parser(
        'list-resources',
        help=list_monitored_resources.__doc__
    )

    get_resource_parser = subparsers.add_parser(
        'get-resource',
        help=get_monitored_resource_descriptor.__doc__
    )

    get_resource_parser.add_argument(
        '--resource-type-name',
        help='Monitored resource to view more information about.',
        required=True
    )

    write_time_series_parser = subparsers.add_parser(
        'write-time-series',
        help=write_time_series.__doc__
    )

    list_time_series_parser = subparsers.add_parser(
        'list-time-series',
        help=list_time_series.__doc__
    )

    list_time_series_header_parser = subparsers.add_parser(
        'list-time-series-header',
        help=list_time_series_header.__doc__
    )

    read_time_series_reduce = subparsers.add_parser(
        'list-time-series-reduce',
        help=list_time_series_reduce.__doc__
    )

    read_time_series_aggregate = subparsers.add_parser(
        'list-time-series-aggregate',
        help=list_time_series_aggregate.__doc__
    )

    args = parser.parse_args()

    if args.command == 'create-metric-descriptor':
        create_metric_descriptor(project_id())
    if args.command == 'list-metric-descriptors':
        list_metric_descriptors(project_id())
    if args.command == 'get-metric-descriptor':
        get_metric_descriptor(args.metric_type_name)
    if args.command == 'delete-metric-descriptor':
        delete_metric_descriptor(args.metric_descriptor_name)
    if args.command == 'list-resources':
        list_monitored_resources(project_id())
    if args.command == 'get-resource':
        get_monitored_resource_descriptor(
            project_id(), args.resource_type_name)
    if args.command == 'write-time-series':
        write_time_series(project_id())
    if args.command == 'list-time-series':
        list_time_series(project_id())
    if args.command == 'list-time-series-header':
        list_time_series_header(project_id())
    if args.command == 'list-time-series-reduce':
        list_time_series_reduce(project_id())
    if args.command == 'list-time-series-aggregate':
        list_time_series_aggregate(project_id())