# Copyright The OpenTelemetry 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.

import json
import os
import subprocess
import sys
import unittest


class TestMetrics(unittest.TestCase):
    def test_metrics(self):
        """Test that metrics example produces expected values"""
        # Run the metrics example
        test_script = f"{os.path.dirname(os.path.realpath(__file__))}/../metrics_example.py"

        result = subprocess.run(
            [sys.executable, test_script],
            capture_output=True,
            text=True,
            timeout=10,
            check=True,
        )

        # Script should run successfully
        self.assertEqual(result.returncode, 0)

        # Parse the JSON output
        output_data = json.loads(result.stdout)

        # Get the metrics from the JSON structure
        metrics = output_data["resource_metrics"][0]["scope_metrics"][0][
            "metrics"
        ]

        # Create a lookup dict for easier testing
        metrics_by_name = {metric["name"]: metric for metric in metrics}

        # Test Counter: should be 1 (called counter.add(1))
        counter_value = metrics_by_name["counter"]["data"]["data_points"][0][
            "value"
        ]
        self.assertEqual(counter_value, 1, "Counter should have value 1")

        # Test UpDownCounter: should be -4 (1 + (-5) = -4)
        updown_value = metrics_by_name["updown_counter"]["data"][
            "data_points"
        ][0]["value"]
        self.assertEqual(
            updown_value, -4, "UpDownCounter should have value -4"
        )

        # Test Histogram: should have count=1, sum=99.9
        histogram_data = metrics_by_name["histogram"]["data"]["data_points"][0]
        self.assertEqual(
            histogram_data["count"], 1, "Histogram should have count 1"
        )
        self.assertEqual(
            histogram_data["sum"], 99.9, "Histogram should have sum 99.9"
        )

        # Test Gauge: should be 1 (last value set)
        gauge_value = metrics_by_name["gauge"]["data"]["data_points"][0][
            "value"
        ]
        self.assertEqual(gauge_value, 1, "Gauge should have value 1")

        # Test Observable Counter: should be 1 (from callback)
        obs_counter_value = metrics_by_name["observable_counter"]["data"][
            "data_points"
        ][0]["value"]
        self.assertEqual(
            obs_counter_value, 1, "Observable counter should have value 1"
        )

        # Test Observable UpDownCounter: should be -10 (from callback)
        obs_updown_value = metrics_by_name["observable_updown_counter"][
            "data"
        ]["data_points"][0]["value"]
        self.assertEqual(
            obs_updown_value,
            -10,
            "Observable updown counter should have value -10",
        )

        # Test Observable Gauge: should be 9 (from callback)
        obs_gauge_value = metrics_by_name["observable_gauge"]["data"][
            "data_points"
        ][0]["value"]
        self.assertEqual(
            obs_gauge_value, 9, "Observable gauge should have value 9"
        )