#
# Copyright 2026 The Dapr 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.
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"""Integration tests for 07-agents-as-activities-observability example."""

import pytest
from tests.integration.quickstarts.conftest import run_quickstart_or_examples_multi_app


@pytest.mark.integration
class TestAgentsAsTasksInWorkflowsQuickstart:
    """Integration tests for 07-agents-as-activities-observability example."""

    @pytest.fixture(autouse=True)
    def setup(self, examples_dir, openai_api_key, is_ollama):
        """Setup test environment."""
        self.quickstart_dir = examples_dir / "07-agents-as-activities-observability"
        self.env = {"OPENAI_API_KEY": openai_api_key}
        if is_ollama:
            import os

            self.env["OPENAI_MODEL"] = os.environ["OLLAMA_MODEL"]
            self.env["OPENAI_BASE_URL"] = os.environ["OLLAMA_ENDPOINT"]

    def test_sequential_workflow(self, dapr_runtime):  # noqa: ARG002
        """Test sequential workflow with agents as tasks (sequential_workflow.py).

        Note: dapr_runtime parameter ensures Dapr is initialized before this test runs.
        The fixture is needed for setup, even though we don't use the value directly.
        """
        dapr_yaml = self.quickstart_dir / "sequential.yaml"
        result = run_quickstart_or_examples_multi_app(
            dapr_yaml,
            cwd=self.quickstart_dir,
            env=self.env,
            timeout=180,  # Agent workflows may take longer
            stream_logs=True,
        )

        assert result.returncode == 0, (
            f"Quickstart failed with return code {result.returncode}.\n"
            f"STDOUT:\n{result.stdout}\n"
            f"STDERR:\n{result.stderr}"
        )
        assert "Workflow started:" in result.stdout or len(result.stdout) > 0

    def test_sequential_workflow_tracing(self):
        pytest.skip(
            "Skipping tracing test (test_sequential_workflow_tracing) in CI for now"
        )

    def test_sequential_workflow_multi_model_tracing(self):
        pytest.skip(
            "Skipping tracing test (test_sequential_workflow_multi_model_tracing) in CI for now"
        )
