add other valid field types, better parse model fields to pydantic model with optional values
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@ -8,4 +8,11 @@ coverage:
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patch: yes
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changes: yes
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comment: off
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comment:
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layout: "reach, diff, flags, files"
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behavior: default
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require_changes: false # if true: only post the comment if coverage changes
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require_base: no # [yes :: must have a base report to post]
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require_head: yes # [yes :: must have a head report to post]
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branches: # branch names that can post comment
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- "master"
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@ -1,4 +1,4 @@
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# ORM
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# Async-ORM
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<p>
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<a href="https://travis-ci.org/encode/orm">
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@ -10,6 +10,7 @@
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<a href="https://pypi.org/project/orm/">
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<img src="https://badge.fury.io/py/orm.svg" alt="Package version">
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</a>
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<a href="https://www.codefactor.io/repository/github/collerek/async-orm"><img src="https://www.codefactor.io/repository/github/collerek/async-orm/badge" alt="CodeFactor" /></a>
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</p>
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The `async-orm` package is an async ORM for Python, with support for Postgres,
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@ -156,7 +157,7 @@ assert len(tracks) == 1
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The following keyword arguments are supported on all field types.
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* `primary_key`
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* `allow_null`
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* `nullable`
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* `default`
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* `index`
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* `unique`
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@ -167,7 +168,7 @@ All fields are required unless one of the following is set:
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* `allow_blank` - Allow empty strings to validate. Sets the default to `""`.
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* `default` - Set a default value for the field.
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* `orm.String(max_length)`
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* `orm.String(length)`
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* `orm.Text()`
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* `orm.Boolean()`
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* `orm.Integer()`
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@ -1,3 +1,7 @@
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import datetime
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import decimal
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import pydantic
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import sqlalchemy
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from orm.exceptions import ModelDefinitionError
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@ -66,8 +70,75 @@ class String(BaseField):
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class Integer(BaseField):
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__type__ = int
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def get_column_type(self):
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return sqlalchemy.Integer()
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class Text(BaseField):
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__type__ = str
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def get_column_type(self):
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return sqlalchemy.Text()
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class Float(BaseField):
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__type__ = float
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def get_column_type(self):
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return sqlalchemy.Float()
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class Boolean(BaseField):
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__type__ = bool
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def get_column_type(self):
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return sqlalchemy.Boolean()
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class DateTime(BaseField):
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__type__ = datetime.datetime
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def get_column_type(self):
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return sqlalchemy.DateTime()
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class Date(BaseField):
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__type__ = datetime.date
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def get_column_type(self):
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return sqlalchemy.Date()
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class Time(BaseField):
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__type__ = datetime.time
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def get_column_type(self):
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return sqlalchemy.Time()
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class JSON(BaseField):
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__type__ = pydantic.Json
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def get_column_type(self):
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return sqlalchemy.JSON()
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class BigInteger(BaseField):
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__type__ = int
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def get_column_type(self):
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return sqlalchemy.BigInteger()
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class Decimal(BaseField):
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__type__ = decimal.Decimal
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def __init__(self, *args, **kwargs):
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assert 'precision' in kwargs, 'precision is required'
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assert 'length' in kwargs, 'length is required'
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self.length = kwargs.pop('length')
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self.precision = kwargs.pop('precision')
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super().__init__(*args, **kwargs)
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def get_column_type(self):
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return sqlalchemy.Integer()
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return sqlalchemy.DECIMAL(self.length, self.precision)
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@ -1,4 +1,4 @@
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from typing import Any
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from typing import Any, Optional
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import sqlalchemy
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from pydantic import create_model
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@ -6,6 +6,17 @@ from pydantic import create_model
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from orm.fields import BaseField
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def parse_pydantic_field_from_model_fields(object_dict: dict):
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pydantic_fields = {field_name: (
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base_field.__type__,
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... if (not base_field.nullable and not base_field.default) else (
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base_field.default() if callable(base_field.default) else base_field.default)
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)
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for field_name, base_field in object_dict.items()
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if isinstance(base_field, BaseField)}
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return pydantic_fields
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class ModelMetaclass(type):
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def __new__(
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mcs: type, name: str, bases: Any, attrs: dict
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@ -28,9 +39,7 @@ class ModelMetaclass(type):
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pkname = field_name
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columns.append(field.get_column(field_name))
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pydantic_fields = {field_name: (base_field.__type__, base_field.default or ...)
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for field_name, base_field in new_model.__dict__.items()
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if isinstance(base_field, BaseField)}
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pydantic_fields = parse_pydantic_field_from_model_fields(new_model.__dict__)
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new_model.__table__ = sqlalchemy.Table(tablename, metadata, *columns)
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new_model.__columns__ = columns
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@ -1,3 +1,6 @@
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import datetime
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import pydantic
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import pytest
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import sqlalchemy
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@ -12,20 +15,34 @@ class ExampleModel(Model):
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__tablename__ = "example"
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__metadata__ = metadata
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test = fields.Integer(primary_key=True)
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test2 = fields.String(length=250)
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test_string = fields.String(length=250)
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test_text = fields.Text()
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test_bool = fields.Boolean(nullable=False)
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test_float = fields.Float()
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test_datetime = fields.DateTime(default=datetime.datetime.now)
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test_date = fields.Date(default=datetime.date.today)
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test_time = fields.Time(default=datetime.time)
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test_json = fields.JSON(default={})
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test_bigint = fields.BigInteger(default=0)
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test_decimal = fields.Decimal(length=10, precision=2)
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class ExampleModel2(Model):
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__tablename__ = "example2"
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__metadata__ = metadata
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test = fields.Integer(name='test12', primary_key=True)
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test2 = fields.String('test22', length=250)
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test_string = fields.String('test_string2', length=250)
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def test_not_nullable_field_is_required():
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with pytest.raises(pydantic.error_wrappers.ValidationError):
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ExampleModel(test=1, test_string='test')
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def test_model_attribute_access():
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example = ExampleModel(test=1, test2='test')
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example = ExampleModel(test=1, test_string='test', test_bool=True)
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assert example.test == 1
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assert example.test2 == 'test'
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assert example.test_string == 'test'
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example.test = 12
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assert example.test == 12
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@ -35,7 +52,7 @@ def test_model_attribute_access():
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def test_primary_key_access_and_setting():
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example = ExampleModel(pk=1, test2='test')
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example = ExampleModel(pk=1, test_string='test', test_bool=True)
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assert example.pk == 1
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example.pk = 2
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@ -49,4 +66,4 @@ def test_wrong_model_definition():
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__tablename__ = "example3"
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__metadata__ = metadata
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test = fields.Integer(name='test12', primary_key=True)
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test2 = fields.String('test22', name='test22', length=250)
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test_string = fields.String('test_string2', name='test_string2', length=250)
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