#!/usr/bin/env python

# Copyright 2021 Google Inc. All Rights Reserved.
#
# 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.

"""Google Analytics Data API sample application demonstrating the creation
of a basic report.

See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport
for more information.
"""
# [START analyticsdata_run_report]
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Metric,
    MetricType,
    RunReportRequest,
)


def run_sample():
    """Runs the sample."""
    # TODO(developer): Replace this variable with your Google Analytics 4
    #  property ID before running the sample.
    property_id = "YOUR-GA4-PROPERTY-ID"
    run_report(property_id)


def run_report(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report of active users grouped by country."""
    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="country")],
        metrics=[Metric(name="activeUsers")],
        date_ranges=[DateRange(start_date="2020-09-01", end_date="2020-09-15")],
    )
    response = client.run_report(request)
    print_run_report_response(response)


def print_run_report_response(response):
    """Prints results of a runReport call."""
    # [START analyticsdata_print_run_report_response_header]
    print(f"{response.row_count} rows received")
    for dimensionHeader in response.dimension_headers:
        print(f"Dimension header name: {dimensionHeader.name}")
    for metricHeader in response.metric_headers:
        metric_type = MetricType(metricHeader.type_).name
        print(f"Metric header name: {metricHeader.name} ({metric_type})")
    # [END analyticsdata_print_run_report_response_header]

    # [START analyticsdata_print_run_report_response_rows]
    print("Report result:")
    for rowIdx, row in enumerate(response.rows):
        print(f"\nRow {rowIdx}")
        for i, dimension_value in enumerate(row.dimension_values):
            dimension_name = response.dimension_headers[i].name
            print(f"{dimension_name}: {dimension_value.value}")

        for i, metric_value in enumerate(row.metric_values):
            metric_name = response.metric_headers[i].name
            print(f"{metric_name}: {metric_value.value}")
    # [END analyticsdata_print_run_report_response_rows]


# [END analyticsdata_run_report]


if __name__ == "__main__":
    run_sample()
