"""
Tests for queue processor v2 research handling.

Tests cover:
- Start research
- Direct execution mode
"""

import threading


class TestStartResearch:
    """Tests for starting individual researches."""

    def test_start_research_lookup_from_history(self):
        """Research is looked up from history."""
        research_history = {
            123: {"query": "test", "mode": "quick"},
            456: {"query": "another", "mode": "detailed"},
        }

        research_id = 123
        research = research_history.get(research_id)

        assert research is not None
        assert research["query"] == "test"

    def test_start_research_lookup_retry_with_backoff(self):
        """Research lookup retries with backoff."""
        attempts = []
        max_retries = 3
        initial_delay = 0.5

        for attempt in range(max_retries):
            delay = initial_delay * (2**attempt)
            attempts.append(delay)

        assert attempts == [0.5, 1.0, 2.0]

    def test_start_research_max_retries_exceeded(self):
        """Error raised when max retries exceeded."""
        max_retries = 3
        current_retry = 3

        if current_retry >= max_retries:
            should_raise = True
        else:
            should_raise = False

        assert should_raise

    def test_start_research_settings_snapshot_new_structure(self):
        """New settings snapshot structure is handled."""
        settings_snapshot = {
            "submission": {
                "model_provider": "ollama",
                "model": "mistral",
            },
            "settings_snapshot": {
                "llm.temperature": 0.7,
            },
        }

        if "submission" in settings_snapshot:
            submission_params = settings_snapshot["submission"]
            complete_settings = settings_snapshot.get("settings_snapshot", {})
        else:
            submission_params = settings_snapshot
            complete_settings = {}

        assert submission_params["model_provider"] == "ollama"
        assert complete_settings.get("llm.temperature") == 0.7

    def test_start_research_settings_snapshot_legacy_structure(self):
        """Legacy settings snapshot structure is handled."""
        settings_snapshot = {
            "model_provider": "openai",
            "model": "gpt-4",
        }

        if "submission" in settings_snapshot:
            submission_params = settings_snapshot["submission"]
        else:
            submission_params = settings_snapshot

        assert submission_params["model_provider"] == "openai"

    def test_start_research_user_active_research_creation(self):
        """Active research record is created."""
        active_record = {
            "username": "testuser",
            "research_id": 123,
            "status": "in_progress",
            "thread_id": "pending",
        }

        assert active_record["status"] == "in_progress"
        assert active_record["thread_id"] == "pending"

    def test_start_research_thread_creation(self):
        """Research thread is created."""
        thread = threading.Thread(target=lambda: None, daemon=True)

        assert thread is not None
        assert thread.daemon

    def test_start_research_thread_id_tracking(self):
        """Thread ID is tracked after start."""
        thread = threading.Thread(target=lambda: None)
        thread.start()
        thread_id = thread.ident
        thread.join()

        assert thread_id is not None

    def test_start_research_exception_handling_cleanup(self):
        """Exception during start triggers cleanup."""
        cleanup_called = False

        try:
            raise Exception("Start error")
        except Exception:
            cleanup_called = True

        assert cleanup_called

    def test_start_research_settings_snapshot_passing(self):
        """Settings snapshot is passed to research."""
        settings_snapshot = {"llm.model": "gpt-4"}

        # Passed to start_research_process
        passed_settings = settings_snapshot.copy()

        assert passed_settings["llm.model"] == "gpt-4"

    def test_start_research_research_options_propagation(self):
        """Research options are propagated correctly."""
        options = {
            "max_results": 10,
            "time_period": "7d",
            "iterations": 3,
            "questions_per_iteration": 5,
            "strategy": "source-based",
        }

        for key, value in options.items():
            assert value is not None

    def test_start_research_custom_search_engine_handling(self):
        """Custom search engine is handled."""
        search_engine = "google"

        # Custom engine passed to research
        assert search_engine in ["google", "duckduckgo", "bing", "auto"]


class TestDirectExecutionMode:
    """Tests for direct execution mode."""

    def test_direct_execution_mode_settings_check(self):
        """Direct mode is checked from settings."""
        queue_mode = "direct"

        is_direct_mode = queue_mode == "direct"

        assert is_direct_mode

    def test_direct_execution_mode_max_concurrent_check(self):
        """Max concurrent is checked from settings."""
        max_concurrent = 3

        assert max_concurrent > 0

    def test_direct_execution_mode_active_research_counting(self):
        """Active researches are counted correctly."""
        active_researches = [
            {"status": "in_progress"},
            {"status": "in_progress"},
            {"status": "completed"},
        ]

        active_count = sum(
            1 for r in active_researches if r["status"] == "in_progress"
        )

        assert active_count == 2

    def test_direct_execution_mode_slot_availability(self):
        """Slot availability is calculated correctly."""
        max_concurrent = 3
        active_count = 1

        slots_available = max_concurrent - active_count

        assert slots_available == 2

    def test_direct_execution_mode_fallback_to_queue(self):
        """Falls back to queue when no slots available."""
        max_concurrent = 3
        active_count = 3

        slots_available = max_concurrent - active_count
        use_queue = slots_available <= 0

        assert use_queue

    def test_direct_execution_mode_settings_snapshot_passing(self):
        """Settings snapshot is passed in direct mode."""
        settings_snapshot = {"llm.provider": "ollama"}

        # Passed directly
        assert "llm.provider" in settings_snapshot

    def test_direct_execution_mode_immediate_start(self):
        """Research starts immediately in direct mode."""
        queue_mode = "direct"
        slots_available = 2

        start_immediately = queue_mode == "direct" and slots_available > 0

        assert start_immediately

    def test_direct_execution_mode_error_recovery(self):
        """Direct mode recovers from errors."""
        error_occurred = False
        cleanup_done = False

        try:
            raise Exception("Direct start error")
        except Exception:
            error_occurred = True
            cleanup_done = True

        assert error_occurred
        assert cleanup_done


class TestNotifyResearchCompleted:
    """Tests for research completion notification."""

    def test_notify_completed_updates_task_status(self):
        """Completion updates task status."""
        task_status = "processing"

        task_status = "completed"

        assert task_status == "completed"

    def test_notify_completed_sends_notification(self):
        """Completion sends notification."""
        notification_sent = False

        # Simulate notification
        notification_sent = True

        assert notification_sent

    def test_notify_completed_with_password(self):
        """Completion works with password."""
        password = "test_password"

        has_password = bool(password)

        assert has_password


class TestNotifyResearchFailed:
    """Tests for research failure notification."""

    def test_notify_failed_updates_task_status(self):
        """Failure updates task status."""
        task_status = "processing"

        task_status = "failed"

        assert task_status == "failed"

    def test_notify_failed_includes_error_message(self):
        """Failure includes error message."""
        error_message = "LLM unavailable"

        has_error_message = bool(error_message)

        assert has_error_message

    def test_notify_failed_sends_notification(self):
        """Failure sends notification."""
        notification_sent = False

        notification_sent = True

        assert notification_sent
