add 4 new relation signales, add 4 new aggr methods, wip to cleanup
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182
tests/test_aggr_functions.py
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182
tests/test_aggr_functions.py
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from typing import Optional
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import databases
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import pytest
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import sqlalchemy
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import ormar
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from tests.settings import DATABASE_URL
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database = databases.Database(DATABASE_URL)
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metadata = sqlalchemy.MetaData()
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class BaseMeta(ormar.ModelMeta):
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metadata = metadata
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database = database
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class Author(ormar.Model):
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class Meta(BaseMeta):
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tablename = "authors"
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order_by = ["-name"]
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id: int = ormar.Integer(primary_key=True)
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name: str = ormar.String(max_length=100)
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class Book(ormar.Model):
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class Meta(BaseMeta):
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tablename = "books"
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order_by = ["year", "-ranking"]
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id: int = ormar.Integer(primary_key=True)
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author: Optional[Author] = ormar.ForeignKey(Author)
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title: str = ormar.String(max_length=100)
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year: int = ormar.Integer(nullable=True)
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ranking: int = ormar.Integer(nullable=True)
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@pytest.fixture(autouse=True, scope="module")
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def create_test_database():
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engine = sqlalchemy.create_engine(DATABASE_URL)
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metadata.drop_all(engine)
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metadata.create_all(engine)
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yield
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metadata.drop_all(engine)
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@pytest.fixture(autouse=True, scope="function")
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async def cleanup():
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yield
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async with database:
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await Book.objects.delete(each=True)
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await Author.objects.delete(each=True)
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async def sample_data():
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author = await Author(name="Author 1").save()
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await Book(title="Book 1", year=1920, ranking=3, author=author).save()
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await Book(title="Book 2", year=1930, ranking=1, author=author).save()
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await Book(title="Book 3", year=1923, ranking=5, author=author).save()
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@pytest.mark.asyncio
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async def test_min_method():
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async with database:
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await sample_data()
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assert await Book.objects.min("year") == 1920
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result = await Book.objects.min(["year", "ranking"])
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assert result == (1920, 1)
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assert dict(result) == dict(year=1920, ranking=1)
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assert await Book.objects.min("title") == "Book 1"
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assert await Author.objects.select_related("books").min("books__year") == 1920
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result = await Author.objects.select_related("books").min(
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["books__year", "books__ranking"]
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)
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assert result == (1920, 1)
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assert dict(result) == dict(books__year=1920, books__ranking=1)
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assert (
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await Author.objects.select_related("books")
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.filter(books__year__gt=1925)
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.min("books__year")
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== 1930
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)
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@pytest.mark.asyncio
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async def test_max_method():
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async with database:
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await sample_data()
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assert await Book.objects.max("year") == 1930
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result = await Book.objects.max(["year", "ranking"])
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assert result == (1930, 5)
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assert dict(result) == dict(year=1930, ranking=5)
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assert await Book.objects.max("title") == "Book 3"
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assert await Author.objects.select_related("books").max("books__year") == 1930
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result = await Author.objects.select_related("books").max(
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["books__year", "books__ranking"]
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)
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assert result == (1930, 5)
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assert dict(result) == dict(books__year=1930, books__ranking=5)
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assert (
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await Author.objects.select_related("books")
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.filter(books__year__lt=1925)
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.max("books__year")
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== 1923
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)
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@pytest.mark.asyncio
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async def test_sum_method():
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async with database:
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await sample_data()
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assert await Book.objects.sum("year") == 5773
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result = await Book.objects.sum(["year", "ranking"])
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assert result == (5773, 9)
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assert dict(result) == dict(year=5773, ranking=9)
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assert await Book.objects.sum("title") == 0.0
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assert await Author.objects.select_related("books").sum("books__year") == 5773
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result = await Author.objects.select_related("books").sum(
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["books__year", "books__ranking"]
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)
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assert result == (5773, 9)
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assert dict(result) == dict(books__year=5773, books__ranking=9)
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assert (
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await Author.objects.select_related("books")
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.filter(books__year__lt=1925)
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.sum("books__year")
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== 3843
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)
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@pytest.mark.asyncio
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async def test_avg_method():
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async with database:
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await sample_data()
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assert round(await Book.objects.avg("year"), 2) == 1924.33
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result = await Book.objects.avg(["year", "ranking"])
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assert (round(result[0], 2), result[1]) == (1924.33, 3.0)
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result_dict = dict(result)
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assert round(result_dict.get("year"), 2) == 1924.33
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assert result_dict.get("ranking") == 3.0
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assert await Book.objects.avg("title") == 0.0
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result = await Author.objects.select_related("books").avg("books__year")
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assert round(result, 2) == 1924.33
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result = await Author.objects.select_related("books").avg(
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["books__year", "books__ranking"]
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)
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assert (round(result[0], 2), result[1]) == (1924.33, 3.0)
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result_dict = dict(result)
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assert round(result_dict.get("books__year"), 2) == 1924.33
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assert result_dict.get("books__ranking") == 3.0
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assert (
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await Author.objects.select_related("books")
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.filter(books__year__lt=1925)
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.avg("books__year")
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== 1921.5
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)
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@pytest.mark.asyncio
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async def test_queryset_method():
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async with database:
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await sample_data()
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author = await Author.objects.select_related("books").get()
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assert await author.books.min("year") == 1920
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assert await author.books.max("year") == 1930
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assert await author.books.sum("ranking") == 9
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assert await author.books.avg("ranking") == 3.0
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assert await author.books.max(["year", "title"]) == (1930, "Book 3")
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