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from typing import Dict | |
import factory | |
import flask | |
import flask_sqlalchemy | |
import pydantic | |
import pytest | |
# Conforme: https://flask-sqlalchemy.palletsprojects.com/en/2.x/api/?highlight=init_app#flask_sqlalchemy.SQLAlchemy.init_app | |
db = flask_sqlalchemy.SQLAlchemy() | |
@pytest.fixture(name="app", autouse=False, scope="function") | |
def create_app_context(): | |
app = flask.Flask(__name__) | |
app.config["SQLALCHEMY_DATABASE_URI"] = "mysql+pymysql://root:1234@127.0.0.1:3307/biops_test" | |
# app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///" | |
with app.app_context(): | |
yield app | |
@pytest.fixture(name="db_", autouse=False, scope="function") | |
def db_(app): | |
db.init_app(app) | |
db.create_all() | |
yield db | |
db.session.rollback() | |
db.session.remove() | |
db.drop_all() | |
@pytest.fixture(name="example_factory", autouse=False, scope="function") | |
def _workflow_factory(db_): | |
class ExampleFactory(factory.alchemy.SQLAlchemyModelFactory): | |
class Meta: | |
model = ExampleDB | |
sqlalchemy_session = db_.session | |
bioinfo_operation = factory.Sequence(lambda n: f"uuid-{n}") | |
outputs: Dict[str, str] = {} | |
yield ExampleFactory | |
class ExampleDB(db.Model): | |
__tablename__ = "examples" | |
bioinfo_operation = db.Column(db.String(128), primary_key=True) | |
outputs = db.Column(db.JSON, nullable=False) | |
class BaseWorkflow(pydantic.BaseModel): | |
class Config: | |
orm_mode = True | |
bioinfo_operation: str | |
outputs: dict | |
def test_should_fill_metrics(example_factory): | |
# Arrange | |
rec = example_factory() | |
wf = BaseWorkflow.from_orm(rec) | |
# Act | |
wf.outputs["metrics"] = {"a": 1} | |
rec = db.session.query(ExampleDB).filter(ExampleDB.bioinfo_operation == wf.bioinfo_operation).first() | |
rec.outputs = wf.outputs | |
# Assert | |
assert rec.outputs["metrics"] == {'a': 1} | |
def test_should_not_contain_metrics(example_factory): | |
# Arrange | |
rec = example_factory() | |
assert "metrics" not in rec.outputs |
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