"""
Tests for settings routes batch update logic.

Tests cover:
- Batch update logic
- Warning calculation
"""


class TestBatchUpdateLogic:
    """Tests for batch settings update logic."""

    def test_batch_update_prefetch_optimization(self):
        """Prefetch optimization loads all settings."""
        settings_to_update = ["setting1", "setting2", "setting3"]
        prefetched = {
            key: {"value": f"val_{key}"} for key in settings_to_update
        }

        assert len(prefetched) == 3
        assert "setting1" in prefetched

    def test_batch_update_validation_error_accumulation(self):
        """Validation errors are accumulated."""
        errors = []

        settings = [
            {"key": "setting1", "value": "valid"},
            {"key": "setting2", "value": "invalid!@#"},
            {"key": "setting3", "value": ""},
        ]

        for setting in settings:
            if not setting["value"] or "@" in setting["value"]:
                errors.append({"key": setting["key"], "error": "Invalid value"})

        assert len(errors) == 2

    def test_batch_update_transaction_rollback_on_failure(self):
        """Transaction is rolled back on failure."""
        committed = False
        rolled_back = False

        try:
            raise Exception("Update error")
            committed = True
        except Exception:
            rolled_back = True

        assert not committed
        assert rolled_back

    def test_batch_update_tracking_created_vs_updated(self):
        """Created and updated counts are tracked."""
        existing_settings = {"setting1", "setting3"}
        updates = ["setting1", "setting2", "setting3", "setting4"]

        created = 0
        updated = 0

        for key in updates:
            if key in existing_settings:
                updated += 1
            else:
                created += 1

        assert updated == 2
        assert created == 2

    def test_batch_update_partial_success_handling(self):
        """Partial success is reported."""
        results = {
            "success": [],
            "failed": [],
        }

        settings = [
            {"key": "setting1", "valid": True},
            {"key": "setting2", "valid": False},
            {"key": "setting3", "valid": True},
        ]

        for setting in settings:
            if setting["valid"]:
                results["success"].append(setting["key"])
            else:
                results["failed"].append(setting["key"])

        assert len(results["success"]) == 2
        assert len(results["failed"]) == 1

    def test_batch_update_empty_batch(self):
        """Empty batch returns early."""
        settings = []

        if not settings:
            result = {"updated": 0, "created": 0}
        else:
            result = None

        assert result["updated"] == 0

    def test_batch_update_single_item(self):
        """Single item batch works."""
        settings = [{"key": "setting1", "value": "value1"}]

        processed = 0
        for _ in settings:
            processed += 1

        assert processed == 1

    def test_batch_update_large_batch_performance(self):
        """Large batch is processed efficiently."""
        settings = [
            {"key": f"setting{i}", "value": f"value{i}"} for i in range(100)
        ]

        processed = len(settings)

        assert processed == 100

    def test_batch_update_concurrent_batches(self):
        """Concurrent batches don't interfere."""
        import threading

        results = {"batch1": 0, "batch2": 0}
        lock = threading.Lock()

        def process_batch(batch_name, count):
            with lock:
                results[batch_name] = count

        t1 = threading.Thread(target=process_batch, args=("batch1", 10))
        t2 = threading.Thread(target=process_batch, args=("batch2", 20))

        t1.start()
        t2.start()
        t1.join()
        t2.join()

        assert results["batch1"] == 10
        assert results["batch2"] == 20

    def test_batch_update_database_commit_timing(self):
        """Database is committed after all updates."""
        commit_count = 0
        updates = ["update1", "update2", "update3"]

        for _ in updates:
            pass  # Process updates

        # Single commit at end
        commit_count = 1

        assert commit_count == 1


class TestWarningCalculation:
    """Tests for settings warning calculation."""

    def test_warning_recalculation_on_key_change(self):
        """Warnings are recalculated when key settings change."""
        trigger_keys = ["llm.provider", "llm.model", "llm.context_window_size"]

        updated_key = "llm.model"
        should_recalculate = updated_key in trigger_keys

        assert should_recalculate

    def test_warning_high_context_local_provider(self):
        """High context warning for local provider."""
        provider = "ollama"
        context_size = 32000
        local_providers = ["ollama", "llamacpp", "lmstudio"]

        warnings = []
        if provider in local_providers and context_size > 8192:
            warnings.append(
                {
                    "type": "high_context",
                    "message": "Large context window may cause memory issues with local models",
                }
            )

        assert len(warnings) == 1
        assert "high_context" in warnings[0]["type"]

    def test_warning_model_mismatch_70b(self):
        """Warning for large models on limited hardware."""
        model = "llama2:70b"
        warnings = []

        if "70b" in model.lower() or "70B" in model:
            warnings.append(
                {
                    "type": "model_size",
                    "message": "70B models require significant GPU memory",
                }
            )

        assert len(warnings) == 1

    def test_warning_dismissal_persistence(self):
        """Dismissed warnings stay dismissed."""
        dismissed_warnings = {"high_context_ollama", "model_size_70b"}

        new_warning = "high_context_ollama"
        should_show = new_warning not in dismissed_warnings

        assert not should_show

    def test_warning_multiple_warnings_combination(self):
        """Multiple warnings are combined."""
        warnings = []

        # Check various conditions
        if True:  # High context
            warnings.append({"type": "high_context"})
        if True:  # Large model
            warnings.append({"type": "model_size"})
        if False:  # Missing API key
            warnings.append({"type": "missing_key"})

        assert len(warnings) == 2


class TestSettingsDynamicUpdate:
    """Tests for dynamic settings updates."""

    def test_dynamic_model_list_update(self):
        """Model list updates when provider changes."""
        provider = "openai"
        model_lists = {
            "openai": ["gpt-4", "gpt-3.5-turbo"],
            "anthropic": ["claude-3-opus", "claude-3-sonnet"],
            "ollama": ["mistral", "llama2"],
        }

        models = model_lists.get(provider, [])

        assert "gpt-4" in models

    def test_dynamic_search_engine_options(self):
        """Search engine options update based on config."""
        available_engines = ["google", "duckduckgo", "bing"]

        api_keys = {"google": True, "bing": False}

        enabled_engines = [
            e for e in available_engines if api_keys.get(e, True)
        ]

        assert "google" in enabled_engines
        assert "bing" not in enabled_engines
