# tests/performance/test_api_performance.py
import time

import pytest

from models.database.product import Product


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

        db.add_all(products)
        db.commit()

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

        assert response.status_code == 200
        assert len(response.json()["products"]) == 100
        assert end_time - start_time < 2.0  # Should complete within 2 seconds

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

        db.add_all(products)
        db.commit()

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

        assert response.status_code == 200
        assert response.json()["total"] == 50
        assert end_time - start_time < 1.0  # Search should be fast

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

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

        db.add_all(products)
        db.commit()

        # Test complex filtering performance
        start_time = time.time()
        response = client.get(
            "/api/v1/product?brand=Brand1&marketplace=Market1&limit=50",
            headers=auth_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, auth_headers, db):
        """Test pagination performance with large dataset"""
        # Create a large dataset
        products = []
        for i in range(500):
            product = Product(
                product_id=f"LARGE{i:04d}",
                title=f"Large Dataset Product {i}",
                marketplace="LargeTest",
            )
            products.append(product)

        db.add_all(products)
        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/product?skip={offset}&limit=20", headers=auth_headers
            )
            end_time = time.time()

            assert response.status_code == 200
            assert len(response.json()["products"]) == 20
            assert (
                end_time - start_time < 1.0
            )  # Pagination should be fast regardless of offset