# Copyright 2025 Google LLC
#
# 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.

from __future__ import annotations

from google.adk.errors.not_found_error import NotFoundError
from google.adk.evaluation.eval_metrics import EvalMetric
from google.adk.evaluation.evaluator import Evaluator
from google.adk.evaluation.metric_evaluator_registry import MetricEvaluatorRegistry
import pytest


class TestMetricEvaluatorRegistry:
  """Test cases for MetricEvaluatorRegistry."""

  @pytest.fixture
  def registry(self):
    return MetricEvaluatorRegistry()

  class DummyEvaluator(Evaluator):

    def __init__(self, eval_metric: EvalMetric):
      self._eval_metric = eval_metric

    def evaluate_invocations(self, actual_invocations, expected_invocations):
      return "dummy_result"

  class AnotherDummyEvaluator(Evaluator):

    def __init__(self, eval_metric: EvalMetric):
      self._eval_metric = eval_metric

    def evaluate_invocations(self, actual_invocations, expected_invocations):
      return "another_dummy_result"

  def test_register_evaluator(self, registry):
    dummy_metric_name = "dummy_metric_name"
    registry.register_evaluator(
        dummy_metric_name,
        TestMetricEvaluatorRegistry.DummyEvaluator,
    )
    assert dummy_metric_name in registry._registry
    assert (
        registry._registry[dummy_metric_name]
        == TestMetricEvaluatorRegistry.DummyEvaluator
    )

  def test_register_evaluator_updates_existing(self, registry):
    dummy_metric_name = "dummy_metric_name"
    registry.register_evaluator(
        dummy_metric_name,
        TestMetricEvaluatorRegistry.DummyEvaluator,
    )

    assert (
        registry._registry[dummy_metric_name]
        == TestMetricEvaluatorRegistry.DummyEvaluator
    )

    registry.register_evaluator(
        dummy_metric_name, TestMetricEvaluatorRegistry.AnotherDummyEvaluator
    )
    assert (
        registry._registry[dummy_metric_name]
        == TestMetricEvaluatorRegistry.AnotherDummyEvaluator
    )

  def test_get_evaluator(self, registry):
    dummy_metric_name = "dummy_metric_name"
    registry.register_evaluator(
        dummy_metric_name,
        TestMetricEvaluatorRegistry.DummyEvaluator,
    )
    eval_metric = EvalMetric(metric_name=dummy_metric_name, threshold=0.5)
    evaluator = registry.get_evaluator(eval_metric)
    assert isinstance(evaluator, TestMetricEvaluatorRegistry.DummyEvaluator)

  def test_get_evaluator_not_found(self, registry):
    eval_metric = EvalMetric(metric_name="non_existent_metric", threshold=0.5)
    with pytest.raises(NotFoundError):
      registry.get_evaluator(eval_metric)