48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
import pytest
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from sqlalchemy.orm import Session
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from dibbler.models import Product, TransactionType
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from dibbler.queries import product_stock
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from tests.benchmark.benchmark_settings import BENCHMARK_ITERATIONS, BENCHMARK_ROUNDS
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from tests.benchmark.helpers import generate_random_transactions, insert_users_and_products
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@pytest.mark.benchmark(group='product_stock')
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@pytest.mark.parametrize(
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"transaction_count",
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[
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100,
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500,
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1000,
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2000,
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5000,
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10000,
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],
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)
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def test_benchmark_product_stock(benchmark, sql_session: Session, transaction_count: int):
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_users, products = insert_users_and_products(sql_session)
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generate_random_transactions(
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sql_session,
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transaction_count,
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transaction_type_filter=[
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TransactionType.ADD_PRODUCT,
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TransactionType.ADJUST_STOCK,
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TransactionType.BUY_PRODUCT,
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TransactionType.JOINT,
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TransactionType.THROW_PRODUCT,
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],
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)
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benchmark.pedantic(
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query_all_products_stock,
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args=(sql_session, products),
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iterations=BENCHMARK_ITERATIONS,
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rounds=BENCHMARK_ROUNDS,
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)
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def query_all_products_stock(sql_session: Session, products: list[Product]) -> None:
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for product in products:
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product_stock(sql_session, product)
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