# tests/performance/test_api_performance.py
"""
Performance tests for API endpoints.

Note: MarketplaceProduct now stores title/description in translations table.
"""

import time

import pytest

from models.database.marketplace_product import MarketplaceProduct
from models.database.marketplace_product_translation import (
    MarketplaceProductTranslation,
)


def create_product_with_translation(db, product_id: str, title: str, **kwargs):
    """Helper to create a MarketplaceProduct with its English translation."""
    # Extract description for translation (not a MarketplaceProduct field)
    description = kwargs.pop("description", None)

    product = MarketplaceProduct(
        marketplace_product_id=product_id,
        **kwargs,
    )
    db.add(product)
    db.flush()  # Get the ID

    translation = MarketplaceProductTranslation(
        marketplace_product_id=product.id,
        language="en",
        title=title,
        description=description,
    )
    db.add(translation)
    return product


@pytest.mark.performance
@pytest.mark.slow
@pytest.mark.database
class TestPerformance:
    def test_product_list_performance(self, client, admin_headers, db):
        """Test performance of product listing with many products"""
        # Create multiple products
        for i in range(100):
            create_product_with_translation(
                db,
                product_id=f"PERF{i:03d}",
                title=f"Performance Test MarketplaceProduct {i}",
                price=f"{i}.99",
                marketplace="Performance",
            )

        db.commit()

        # Time the request
        start_time = time.time()
        response = client.get("/api/v1/admin/products?limit=100", headers=admin_headers)
        end_time = time.time()

        assert response.status_code == 200
        data = response.json()
        # Check we got products (may have pagination)
        assert "products" in data or "items" in data or isinstance(data, list)
        assert end_time - start_time < 2.0  # Should complete within 2 seconds

    def test_search_performance(self, client, admin_headers, db):
        """Test search performance"""
        # Create products with searchable content
        for i in range(50):
            create_product_with_translation(
                db,
                product_id=f"SEARCH{i:03d}",
                title=f"Searchable MarketplaceProduct {i}",
                description=f"This is a searchable product number {i}",
                brand="SearchBrand",
                marketplace="SearchMarket",
            )

        db.commit()

        # Time search request
        start_time = time.time()
        response = client.get(
            "/api/v1/admin/products?search=Searchable", headers=admin_headers
        )
        end_time = time.time()

        assert response.status_code == 200
        assert end_time - start_time < 1.0  # Search should be fast

    def test_database_query_performance(self, client, admin_headers, db):
        """Test database query performance with complex filters"""
        # Create products with various attributes for filtering
        brands = ["Brand1", "Brand2", "Brand3"]
        marketplaces = ["Market1", "Market2"]

        for i in range(200):
            create_product_with_translation(
                db,
                product_id=f"COMPLEX{i:03d}",
                title=f"Complex MarketplaceProduct {i}",
                brand=brands[i % 3],
                marketplace=marketplaces[i % 2],
                price=f"{10 + (i % 50)}.99",
                google_product_category=f"Category{i % 5}",
            )

        db.commit()

        # Test complex filtering performance
        start_time = time.time()
        response = client.get(
            "/api/v1/admin/products?brand=Brand1&marketplace=Market1&limit=50",
            headers=admin_headers,
        )
        end_time = time.time()

        assert response.status_code == 200
        assert (
            end_time - start_time < 1.5
        )  # Complex query should still be reasonably fast

    def test_pagination_performance_large_dataset(self, client, admin_headers, db):
        """Test pagination performance with large dataset"""
        # Create a large dataset
        for i in range(500):
            create_product_with_translation(
                db,
                product_id=f"LARGE{i:04d}",
                title=f"Large Dataset MarketplaceProduct {i}",
                marketplace="LargeTest",
            )

        db.commit()

        # Test pagination performance at different offsets
        offsets = [0, 100, 250, 400]
        for offset in offsets:
            start_time = time.time()
            response = client.get(
                f"/api/v1/admin/products?skip={offset}&limit=20",
                headers=admin_headers,
            )
            end_time = time.time()

            assert response.status_code == 200
            assert (
                end_time - start_time < 1.0
            )  # Pagination should be fast regardless of offset