108 lines
3.2 KiB
Python
108 lines
3.2 KiB
Python
from typing import List, Optional
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import databases
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import sqlalchemy
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from sqlalchemy import create_engine
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import ormar
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import pytest
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from tests.settings import DATABASE_URL
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db = databases.Database(DATABASE_URL, force_rollback=True)
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metadata = sqlalchemy.MetaData()
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class Keyword(ormar.Model):
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class Meta:
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metadata = metadata
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database = db
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tablename = "keywords"
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id: int = ormar.Integer(primary_key=True)
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name: str = ormar.String(max_length=50)
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class KeywordPrimaryModel(ormar.Model):
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class Meta:
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metadata = metadata
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database = db
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tablename = "primary_models_keywords"
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id: int = ormar.Integer(primary_key=True)
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class PrimaryModel(ormar.Model):
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class Meta:
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metadata = metadata
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database = db
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tablename = "primary_models"
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id: int = ormar.Integer(primary_key=True)
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name: str = ormar.String(max_length=255, index=True)
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some_text: str = ormar.Text()
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some_other_text: Optional[str] = ormar.Text(nullable=True)
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keywords: Optional[List[Keyword]] = ormar.ManyToMany(
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Keyword, through=KeywordPrimaryModel
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)
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class SecondaryModel(ormar.Model):
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class Meta:
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metadata = metadata
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database = db
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tablename = "secondary_models"
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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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primary_model: PrimaryModel = ormar.ForeignKey(
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PrimaryModel, related_name="secondary_models",
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)
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@pytest.mark.asyncio
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async def test_create_primary_models():
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async with db:
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for name, some_text, some_other_text in [
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("Primary 1", "Some text 1", "Some other text 1"),
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("Primary 2", "Some text 2", "Some other text 2"),
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("Primary 3", "Some text 3", "Some other text 3"),
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("Primary 4", "Some text 4", "Some other text 4"),
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("Primary 5", "Some text 5", "Some other text 5"),
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("Primary 6", "Some text 6", "Some other text 6"),
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("Primary 7", "Some text 7", "Some other text 7"),
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("Primary 8", "Some text 8", "Some other text 8"),
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("Primary 9", "Some text 9", "Some other text 9"),
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("Primary 10", "Some text 10", "Some other text 10"),
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]:
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await PrimaryModel(
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name=name, some_text=some_text, some_other_text=some_other_text
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).save()
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for tag_id in [1, 2, 3, 4, 5]:
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await Keyword.objects.create(name=f"Tag {tag_id}")
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p1 = await PrimaryModel.objects.get(pk=1)
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p2 = await PrimaryModel.objects.get(pk=2)
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for i in range(1, 6):
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keyword = await Keyword.objects.get(pk=i)
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if i % 2 == 0:
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await p1.keywords.add(keyword)
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else:
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await p2.keywords.add(keyword)
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models = await PrimaryModel.objects.prefetch_related("keywords").limit(5).all()
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# This test fails, because of the keywords relation.
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assert len(models) == 5
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assert len(models[0].keywords) == 2
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assert len(models[1].keywords) == 3
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assert len(models[2].keywords) == 0
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@pytest.fixture(autouse=True, scope="module")
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def create_test_database():
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engine = create_engine(DATABASE_URL)
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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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