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Merge pull request #372 from collerek/add_construct

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Release 0.10.21 - construct and validators in generated pydantic models
This commit is contained in:
collerek
2021-10-13 13:58:08 +02:00
committed by GitHub
parent 805adb48b1 878f5a459f
commit b66edca74b
25 changed files with 735 additions and 234 deletions
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28
.pre-commit-config.yaml Normal file
View File

@ -0,0 +1,28 @@
repos:
- repo: https://github.com/psf/black
rev: 21.9b0
hooks:
- id: black
- repo: https://github.com/pycqa/flake8
rev: 3.9.2
hooks:
- id: flake8
args: [ '--max-line-length=88' ]
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v0.910
hooks:
- id: mypy
args: [--no-strict-optional, --ignore-missing-imports]
additional_dependencies: [
types-ujson>=0.1.1,
types-PyMySQL>=1.0.2,
types-ipaddress>=1.0.0,
types-enum34>=1.1.0,
types-cryptography>=3.3.5,
types-orjson>=3.6.0,
types-aiofiles>=0.1.9,
types-pkg-resources>=0.1.3,
types-requests>=2.25.9,
types-toml>=0.10.0,
pydantic>=1.8.2
]

27
docs/models/methods.md
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@ -17,6 +17,25 @@ especially `dict()` and `json()` methods that can also accept `exclude`, `includ
To read more check [pydantic][pydantic] documentation
## construct
`construct` is a raw equivalent of `__init__` method used for construction of new instances.
The difference is that `construct` skips validations, so it should be used when you know that data is correct and can be trusted.
The benefit of using construct is the speed of execution due to skipped validation.
!!!note
Note that in contrast to `pydantic.construct` method - the `ormar` equivalent will also process the nested related models.
!!!warning
Bear in mind that due to skipped validation the `construct` method does not perform any conversions, checks etc.
So it's your responsibility to provide tha data that is valid and can be consumed by the database.
The only two things that construct still performs are:
* Providing a `default` value for not set fields
* Initialize nested ormar models if you pass a dictionary or a primary key value
## dict
`dict` is a method inherited from `pydantic`, yet `ormar` adds its own parameters and has some nuances when working with default values,
@ -363,10 +382,16 @@ class Category(BaseModel):
items: Optional[List[Item]]
```
Of course you can use also deeply nested structures and ormar will generate it pydantic equivalent you (in a way that exclude loops).
Of course, you can use also deeply nested structures and ormar will generate it pydantic equivalent you (in a way that exclude loops).
Note how `Item` model above does not have a reference to `Category` although in ormar the relation is bidirectional (and `ormar.Item` has `categories` field).
!!!warning
Note that the generated pydantic model will inherit all **field** validators from the original `ormar` model, that includes the ormar choices validator as well as validators defined with `pydantic.validator` decorator.
But, at the same time all root validators present on `ormar` models will **NOT** be copied to the generated pydantic model. Since root validator can operate on all fields and a user can exclude some fields during generation of pydantic model it's not safe to copy those validators.
If required, you need to redefine/ manually copy them to generated pydantic model.
## load
By default when you query a table without prefetching related models, the ormar will still construct

7
docs/releases.md
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@ -1,3 +1,10 @@
# 0.10.21
## 🐛 Fixes
* Add `ormar` implementation of `construct` classmethod that allows to build `Model` instances without validating the input to speed up the whole flow, if your data is already validated [#318](https://github.com/collerek/ormar/issues/318)
* Fix for "inheriting" field validators from `ormar` model when newly created pydanic model is generated with `get_pydantic` [#365](https://github.com/collerek/ormar/issues/365)
# 0.10.20
## ✨ Features

2
ormar/__init__.py
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@ -61,6 +61,7 @@ from ormar.fields import (
LargeBinary,
ManyToMany,
ManyToManyField,
SQL_ENCODERS_MAP,
SmallInteger,
String,
Text,
@ -132,6 +133,7 @@ __all__ = [
"or_",
"EncryptBackends",
"ENCODERS_MAP",
"SQL_ENCODERS_MAP",
"DECODERS_MAP",
"LargeBinary",
"Extra",

3
ormar/fields/__init__.py
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@ -24,7 +24,7 @@ from ormar.fields.model_fields import (
Time,
UUID,
)
from ormar.fields.parsers import DECODERS_MAP, ENCODERS_MAP
from ormar.fields.parsers import DECODERS_MAP, ENCODERS_MAP, SQL_ENCODERS_MAP
from ormar.fields.sqlalchemy_encrypted import EncryptBackend, EncryptBackends
from ormar.fields.through_field import Through, ThroughField
@ -54,6 +54,7 @@ __all__ = [
"EncryptBackend",
"DECODERS_MAP",
"ENCODERS_MAP",
"SQL_ENCODERS_MAP",
"LargeBinary",
"UniqueColumns",
]

59
ormar/fields/model_fields.py
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@ -1,11 +1,13 @@
import datetime
import decimal
import uuid
from typing import Any, Optional, TYPE_CHECKING, Union, overload
from enum import Enum
from typing import Any, Optional, Set, TYPE_CHECKING, Type, Union, overload
import pydantic
import sqlalchemy
import ormar # noqa I101
from ormar import ModelDefinitionError # noqa I101
from ormar.fields import sqlalchemy_uuid
from ormar.fields.base import BaseField # noqa I101
@ -60,6 +62,49 @@ def is_auto_primary_key(primary_key: bool, autoincrement: bool) -> bool:
return primary_key and autoincrement
def convert_choices_if_needed(
field_type: "Type",
choices: Set,
nullable: bool,
scale: int = None,
represent_as_str: bool = False,
) -> Set:
"""
Converts dates to isoformat as fastapi can check this condition in routes
and the fields are not yet parsed.
Converts enums to list of it's values.
Converts uuids to strings.
Converts decimal to float with given scale.
:param field_type: type o the field
:type field_type: Type
:param choices: set of choices
:type choices: Set
:param scale: scale for decimals
:type scale: int
:param nullable: flag if field_nullable
:type nullable: bool
:param represent_as_str: flag for bytes fields
:type represent_as_str: bool
:param scale: scale for decimals
:type scale: int
:return: value, choices list
:rtype: Tuple[Any, Set]
"""
choices = {o.value if isinstance(o, Enum) else o for o in choices}
encoder = ormar.ENCODERS_MAP.get(field_type, lambda x: x)
if field_type == decimal.Decimal:
precision = scale
choices = {encoder(o, precision) for o in choices}
elif field_type == bytes:
choices = {encoder(o, represent_as_str) for o in choices}
elif encoder:
choices = {encoder(o) for o in choices}
if nullable:
choices.add(None)
return choices
class ModelFieldFactory:
"""
Default field factory that construct Field classes and populated their values.
@ -96,6 +141,16 @@ class ModelFieldFactory:
else (nullable if sql_nullable is None else sql_nullable)
)
choices = set(kwargs.pop("choices", []))
if choices:
choices = convert_choices_if_needed(
field_type=cls._type,
choices=choices,
nullable=nullable,
scale=kwargs.get("scale", None),
represent_as_str=kwargs.get("represent_as_base64_str", False),
)
namespace = dict(
__type__=cls._type,
__pydantic_type__=overwrite_pydantic_type
@ -114,7 +169,7 @@ class ModelFieldFactory:
pydantic_only=pydantic_only,
autoincrement=autoincrement,
column_type=cls.get_column_type(**kwargs),
choices=set(kwargs.pop("choices", [])),
choices=choices,
encrypt_secret=encrypt_secret,
encrypt_backend=encrypt_backend,
encrypt_custom_backend=encrypt_custom_backend,

46
ormar/fields/parsers.py
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@ -1,6 +1,8 @@
import base64
import datetime
import decimal
from typing import Any
import uuid
from typing import Any, Callable, Dict, Union
import pydantic
from pydantic.datetime_parse import parse_date, parse_datetime, parse_time
@ -19,21 +21,55 @@ def encode_bool(value: bool) -> str:
return "true" if value else "false"
def encode_decimal(value: decimal.Decimal, precision: int = None) -> float:
if precision:
return (
round(float(value), precision)
if isinstance(value, decimal.Decimal)
else value
)
return float(value)
def encode_bytes(value: Union[str, bytes], represent_as_string: bool = False) -> bytes:
if represent_as_string:
return value if isinstance(value, bytes) else base64.b64decode(value)
return value if isinstance(value, bytes) else value.encode("utf-8")
def encode_json(value: Any) -> str:
value = json.dumps(value) if not isinstance(value, str) else value
value = json.dumps(value) if not isinstance(value, str) else re_dump_value(value)
value = value.decode("utf-8") if isinstance(value, bytes) else value
return value
ENCODERS_MAP = {
bool: encode_bool,
def re_dump_value(value: str) -> Union[str, bytes]:
"""
Rw-dumps choices due to different string representation in orjson and json
:param value: string to re-dump
:type value: str
:return: re-dumped choices
:rtype: List[str]
"""
try:
result: Union[str, bytes] = json.dumps(json.loads(value))
except json.JSONDecodeError:
result = value
return result
ENCODERS_MAP: Dict[type, Callable] = {
datetime.datetime: lambda x: x.isoformat(),
datetime.date: lambda x: x.isoformat(),
datetime.time: lambda x: x.isoformat(),
pydantic.Json: encode_json,
decimal.Decimal: float,
decimal.Decimal: encode_decimal,
uuid.UUID: str,
bytes: encode_bytes,
}
SQL_ENCODERS_MAP: Dict[type, Callable] = {bool: encode_bool, **ENCODERS_MAP}
DECODERS_MAP = {
bool: parse_bool,
datetime.datetime: parse_datetime,

2
ormar/fields/sqlalchemy_encrypted.py
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@ -160,7 +160,7 @@ class EncryptedString(types.TypeDecorator):
try:
value = self._underlying_type.process_bind_param(value, dialect)
except AttributeError:
encoder = ormar.ENCODERS_MAP.get(self.type_, None)
encoder = ormar.SQL_ENCODERS_MAP.get(self.type_, None)
if encoder:
value = encoder(value) # type: ignore

3
ormar/models/helpers/pydantic.py
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@ -50,9 +50,10 @@ def get_pydantic_field(field_name: str, model: Type["Model"]) -> "ModelField":
:return: newly created pydantic field
:rtype: pydantic.ModelField
"""
type_ = model.Meta.model_fields[field_name].__type__
return ModelField(
name=field_name,
type_=model.Meta.model_fields[field_name].__type__, # type: ignore
type_=type_, # type: ignore
model_config=model.__config__,
required=not model.Meta.model_fields[field_name].nullable,
class_validators={},

1
ormar/models/helpers/relations.py
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@ -101,6 +101,7 @@ def register_reverse_model_fields(model_field: "ForeignKeyField") -> None:
:type model_field: relation Field
"""
related_name = model_field.get_related_name()
# TODO: Reverse relations does not register pydantic fields?
if model_field.is_multi:
model_field.to.Meta.model_fields[related_name] = ManyToMany( # type: ignore
model_field.owner,

160
ormar/models/helpers/validation.py
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@ -1,30 +1,37 @@
import base64
import datetime
import decimal
import numbers
import uuid
from enum import Enum
from typing import Any, Dict, List, Set, TYPE_CHECKING, Tuple, Type, Union
from typing import (
Any,
Callable,
Dict,
List,
Set,
TYPE_CHECKING,
Type,
Union,
)
try:
import orjson as json
except ImportError: # pragma: no cover
import json # type: ignore
import json # type: ignore # noqa: F401
import pydantic
from pydantic.fields import SHAPE_LIST
from pydantic.class_validators import make_generic_validator
from pydantic.fields import ModelField, SHAPE_LIST
from pydantic.main import SchemaExtraCallable
import ormar # noqa: I100, I202
from ormar.fields import BaseField
from ormar.models.helpers.models import meta_field_not_set
from ormar.queryset.utils import translate_list_to_dict
if TYPE_CHECKING: # pragma no cover
from ormar import Model
from ormar.fields import BaseField
def check_if_field_has_choices(field: BaseField) -> bool:
def check_if_field_has_choices(field: "BaseField") -> bool:
"""
Checks if given field has choices populated.
A if it has one, a validator for this field needs to be attached.
@ -37,110 +44,56 @@ def check_if_field_has_choices(field: BaseField) -> bool:
return hasattr(field, "choices") and bool(field.choices)
def convert_choices_if_needed( # noqa: CCR001
field: "BaseField", value: Any
) -> Tuple[Any, List]:
def convert_value_if_needed(field: "BaseField", value: Any) -> Any:
"""
Converts dates to isoformat as fastapi can check this condition in routes
and the fields are not yet parsed.
Converts enums to list of it's values.
Converts uuids to strings.
Converts decimal to float with given scale.
:param field: ormar field to check with choices
:type field: BaseField
:param value: current values of the model to verify
:type value: Dict
:return: value, choices list
:rtype: Tuple[Any, List]
"""
# TODO use same maps as with EncryptedString
choices = [o.value if isinstance(o, Enum) else o for o in field.choices]
if field.__type__ in [datetime.datetime, datetime.date, datetime.time]:
value = value.isoformat() if not isinstance(value, str) else value
choices = [o.isoformat() for o in field.choices]
elif field.__type__ == pydantic.Json:
value = (
json.dumps(value) if not isinstance(value, str) else re_dump_value(value)
)
value = value.decode("utf-8") if isinstance(value, bytes) else value
choices = [re_dump_value(x) for x in field.choices]
elif field.__type__ == uuid.UUID:
value = str(value) if not isinstance(value, str) else value
choices = [str(o) for o in field.choices]
elif field.__type__ == decimal.Decimal:
precision = field.scale # type: ignore
value = (
round(float(value), precision)
if isinstance(value, decimal.Decimal)
else value
)
choices = [round(float(o), precision) for o in choices]
elif field.__type__ == bytes:
if field.represent_as_base64_str:
value = value if isinstance(value, bytes) else base64.b64decode(value)
else:
value = value if isinstance(value, bytes) else value.encode("utf-8")
return value, choices
def re_dump_value(value: str) -> str:
"""
Rw-dumps choices due to different string representation in orjson and json
:param value: string to re-dump
:type value: str
:return: re-dumped choices
:rtype: List[str]
"""
try:
result: Union[str, bytes] = json.dumps(json.loads(value))
except json.JSONDecodeError:
result = value
return result.decode("utf-8") if isinstance(result, bytes) else result
def validate_choices(field: "BaseField", value: Any) -> None:
"""
Validates if given value is in provided choices.
:raises ValueError: If value is not in choices.
:param field:field to validate
:type field: BaseField
:param value: value of the field
:type value: Any
:return: value, choices list
:rtype: Any
"""
value, choices = convert_choices_if_needed(field=field, value=value)
if field.nullable:
choices.append(None)
if value is not ormar.Undefined and value not in choices:
raise ValueError(
f"{field.name}: '{value}' " f"not in allowed choices set:" f" {choices}"
)
encoder = ormar.ENCODERS_MAP.get(field.__type__, lambda x: x)
if field.__type__ == decimal.Decimal:
precision = field.scale # type: ignore
value = encoder(value, precision)
elif field.__type__ == bytes:
represent_as_string = field.represent_as_base64_str
value = encoder(value, represent_as_string)
elif encoder:
value = encoder(value)
return value
def choices_validator(cls: Type["Model"], values: Dict[str, Any]) -> Dict[str, Any]:
"""
Validator that is attached to pydantic model pre root validators.
Validator checks if field value is in field.choices list.
def generate_validator(ormar_field: "BaseField") -> Callable:
choices = ormar_field.choices
:raises ValueError: if field value is outside of allowed choices.
:param cls: constructed class
:type cls: Model class
:param values: dictionary of field values (pydantic side)
:type values: Dict[str, Any]
:return: values if pass validation, otherwise exception is raised
:rtype: Dict[str, Any]
"""
for field_name, field in cls.Meta.model_fields.items():
if check_if_field_has_choices(field):
value = values.get(field_name, ormar.Undefined)
validate_choices(field=field, value=value)
return values
def validate_choices(cls: type, value: Any, field: "ModelField") -> None:
"""
Validates if given value is in provided choices.
:raises ValueError: If value is not in choices.
:param field:field to validate
:type field: BaseField
:param value: value of the field
:type value: Any
"""
adjusted_value = convert_value_if_needed(field=ormar_field, value=value)
if adjusted_value is not ormar.Undefined and adjusted_value not in choices:
raise ValueError(
f"{field.name}: '{adjusted_value}' "
f"not in allowed choices set:"
f" {choices}"
)
return value
return validate_choices
def generate_model_example(model: Type["Model"], relation_map: Dict = None) -> Dict:
@ -172,7 +125,7 @@ def generate_model_example(model: Type["Model"], relation_map: Dict = None) -> D
def populates_sample_fields_values(
example: Dict[str, Any], name: str, field: BaseField, relation_map: Dict = None
example: Dict[str, Any], name: str, field: "BaseField", relation_map: Dict = None
) -> None:
"""
Iterates the field and sets fields to sample values
@ -350,15 +303,14 @@ def populate_choices_validators(model: Type["Model"]) -> None: # noqa CCR001
"""
fields_with_choices = []
if not meta_field_not_set(model=model, field_name="model_fields"):
if hasattr(model, "_choices_fields"):
return
model._choices_fields = set()
for name, field in model.Meta.model_fields.items():
if check_if_field_has_choices(field):
fields_with_choices.append(name)
validators = getattr(model, "__pre_root_validators__", [])
if choices_validator not in validators:
validators.append(choices_validator)
model.__pre_root_validators__ = validators
if not model._choices_fields:
model._choices_fields = set()
validator = make_generic_validator(generate_validator(field))
model.__fields__[name].validators.append(validator)
model._choices_fields.add(name)
if fields_with_choices:

1
ormar/models/metaclass.py
View File

@ -106,7 +106,6 @@ def add_cached_properties(new_model: Type["Model"]) -> None:
new_model._through_names = None
new_model._related_fields = None
new_model._pydantic_fields = {name for name in new_model.__fields__}
new_model._choices_fields = set()
new_model._json_fields = set()
new_model._bytes_fields = set()

35
ormar/models/mixins/pydantic_mixin.py
View File

@ -1,3 +1,4 @@
import copy
import string
from random import choices
from typing import (
@ -82,7 +83,9 @@ class PydanticMixin(RelationMixin):
(pydantic.BaseModel,),
{"__annotations__": fields_dict, **defaults},
)
return cast(Type[pydantic.BaseModel], model)
model = cast(Type[pydantic.BaseModel], model)
cls._copy_field_validators(model=model)
return model
@classmethod
def _determine_pydantic_field_type(
@ -111,3 +114,33 @@ class PydanticMixin(RelationMixin):
if target is not None and field.nullable:
target = Optional[target]
return target
@classmethod
def _copy_field_validators(cls, model: Type[pydantic.BaseModel]) -> None:
"""
Copy field validators from ormar model to generated pydantic model.
"""
for field_name, field in model.__fields__.items():
if (
field_name not in cls.__fields__
or cls.Meta.model_fields[field_name].is_relation
):
continue
validators = cls.__fields__[field_name].validators
already_attached = [
validator.__wrapped__ for validator in field.validators # type: ignore
]
validators_to_copy = [
validator
for validator in validators
if validator.__wrapped__ not in already_attached # type: ignore
]
field.validators.extend(copy.deepcopy(validators_to_copy))
class_validators = cls.__fields__[field_name].class_validators
field.class_validators.update(copy.deepcopy(class_validators))
field.pre_validators = copy.deepcopy(
cls.__fields__[field_name].pre_validators
)
field.post_validators = copy.deepcopy(
cls.__fields__[field_name].post_validators
)

21
ormar/models/mixins/save_mixin.py
View File

@ -11,9 +11,10 @@ from typing import (
cast,
)
import ormar
import pydantic
import ormar # noqa: I100, I202
from ormar.exceptions import ModelPersistenceError
from ormar.models.helpers.validation import validate_choices
from ormar.models.mixins import AliasMixin
from ormar.models.mixins.relation_mixin import RelationMixin
@ -29,6 +30,7 @@ class SavePrepareMixin(RelationMixin, AliasMixin):
if TYPE_CHECKING: # pragma: nocover
_choices_fields: Optional[Set]
_skip_ellipsis: Callable
__fields__: Dict[str, pydantic.fields.ModelField]
@classmethod
def prepare_model_to_save(cls, new_kwargs: dict) -> dict:
@ -180,9 +182,18 @@ class SavePrepareMixin(RelationMixin, AliasMixin):
if not cls._choices_fields:
return new_kwargs
for field_name, field in cls.Meta.model_fields.items():
if field_name in new_kwargs and field_name in cls._choices_fields:
validate_choices(field=field, value=new_kwargs.get(field_name))
fields_to_check = [
field
for field in cls.Meta.model_fields.values()
if field.name in cls._choices_fields and field.name in new_kwargs
]
for field in fields_to_check:
if new_kwargs[field.name] not in field.choices:
raise ValueError(
f"{field.name}: '{new_kwargs[field.name]}' "
f"not in allowed choices set:"
f" {field.choices}"
)
return new_kwargs
@staticmethod

52
ormar/models/newbasemodel.py
View File

@ -14,6 +14,7 @@ from typing import (
TYPE_CHECKING,
Tuple,
Type,
TypeVar,
Union,
cast,
)
@ -50,8 +51,11 @@ if TYPE_CHECKING: # pragma no cover
from ormar.models import Model
from ormar.signals import SignalEmitter
T = TypeVar("T", bound="NewBaseModel")
IntStr = Union[int, str]
DictStrAny = Dict[str, Any]
SetStr = Set[str]
AbstractSetIntStr = AbstractSet[IntStr]
MappingIntStrAny = Mapping[IntStr, Any]
@ -86,7 +90,7 @@ class NewBaseModel(pydantic.BaseModel, ModelTableProxy, metaclass=ModelMetaclass
_related_names: Optional[Set]
_through_names: Optional[Set]
_related_names_hash: str
_choices_fields: Optional[Set]
_choices_fields: Set
_pydantic_fields: Set
_quick_access_fields: Set
_json_fields: Set
@ -785,6 +789,51 @@ class NewBaseModel(pydantic.BaseModel, ModelTableProxy, metaclass=ModelMetaclass
data = data["__root__"]
return self.__config__.json_dumps(data, default=encoder, **dumps_kwargs)
@classmethod
def construct(
cls: Type["T"], _fields_set: Optional["SetStr"] = None, **values: Any
) -> "T":
own_values = {
k: v for k, v in values.items() if k not in cls.extract_related_names()
}
model = cls.__new__(cls)
fields_values: Dict[str, Any] = {}
for name, field in cls.__fields__.items():
if name in own_values:
fields_values[name] = own_values[name]
elif not field.required:
fields_values[name] = field.get_default()
fields_values.update(own_values)
object.__setattr__(model, "__dict__", fields_values)
model._initialize_internal_attributes()
cls._construct_relations(model=model, values=values)
if _fields_set is None:
_fields_set = set(values.keys())
object.__setattr__(model, "__fields_set__", _fields_set)
return model
@classmethod
def _construct_relations(cls: Type["T"], model: "T", values: Dict) -> None:
present_relations = [
relation for relation in cls.extract_related_names() if relation in values
]
for relation in present_relations:
value_to_set = values[relation]
if not isinstance(value_to_set, list):
value_to_set = [value_to_set]
relation_field = cls.Meta.model_fields[relation]
relation_value = [
relation_field.expand_relationship(x, model, to_register=False)
for x in value_to_set
]
for child in relation_value:
model._orm.add(
parent=cast("Model", child),
child=cast("Model", model),
field=cast("ForeignKeyField", relation_field),
)
def update_from_dict(self, value_dict: Dict) -> "NewBaseModel":
"""
Updates self with values of fields passed in the dictionary.
@ -879,6 +928,7 @@ class NewBaseModel(pydantic.BaseModel, ModelTableProxy, metaclass=ModelMetaclass
:return: dictionary of fields names and values.
:rtype: Dict
"""
# TODO: Cache this dictionary?
self_fields = self._extract_own_model_fields()
self_fields = {
k: v

6
ormar/queryset/utils.py
View File

@ -29,8 +29,8 @@ def check_node_not_dict_or_not_last_node(
:param part:
:type part: str
:param parts:
:type parts: List[str]
:param is_last: flag to check if last element
:type is_last: bool
:param current_level: current level of the traversed structure
:type current_level: Any
:return: result of the check
@ -52,7 +52,7 @@ def translate_list_to_dict( # noqa: CCR001
Default required key ise Ellipsis like in pydantic.
:param list_to_trans: input list
:type list_to_trans: set
:type list_to_trans: Union[List, Set]
:param is_order: flag if change affects order_by clauses are they require special
default value with sort order.
:type is_order: bool

342
poetry.lock generated
View File

@ -51,7 +51,7 @@ typing_extensions = ">=3.7.2"
[[package]]
name = "anyio"
version = "3.3.2"
version = "3.3.3"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
category = "dev"
optional = false
@ -125,6 +125,21 @@ docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
[[package]]
name = "backports.entry-points-selectable"
version = "1.1.0"
description = "Compatibility shim providing selectable entry points for older implementations"
category = "dev"
optional = false
python-versions = ">=2.7"
[package.dependencies]
importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
[package.extras]
docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
testing = ["pytest (>=4.6)", "pytest-flake8", "pytest-cov", "pytest-black (>=0.3.7)", "pytest-mypy", "pytest-checkdocs (>=2.4)", "pytest-enabler (>=1.0.1)"]
[[package]]
name = "bandit"
version = "1.7.0"
@ -188,9 +203,17 @@ python-versions = "*"
[package.dependencies]
pycparser = "*"
[[package]]
name = "cfgv"
version = "3.3.1"
description = "Validate configuration and produce human readable error messages."
category = "dev"
optional = false
python-versions = ">=3.6.1"
[[package]]
name = "charset-normalizer"
version = "2.0.6"
version = "2.0.7"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
category = "dev"
optional = false
@ -201,7 +224,7 @@ unicode_backport = ["unicodedata2"]
[[package]]
name = "click"
version = "8.0.2"
version = "8.0.3"
description = "Composable command line interface toolkit"
category = "dev"
optional = false
@ -260,7 +283,7 @@ immutables = ">=0.9"
[[package]]
name = "coverage"
version = "6.0.1"
version = "6.0.2"
description = "Code coverage measurement for Python"
category = "dev"
optional = false
@ -364,6 +387,14 @@ wrapt = ">=1.10,<2"
[package.extras]
dev = ["tox", "bump2version (<1)", "sphinx (<2)", "importlib-metadata (<3)", "importlib-resources (<4)", "configparser (<5)", "sphinxcontrib-websupport (<2)", "zipp (<2)", "PyTest (<5)", "PyTest-Cov (<2.6)", "pytest", "pytest-cov"]
[[package]]
name = "distlib"
version = "0.3.3"
description = "Distribution utilities"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "docspec"
version = "1.2.0"
@ -412,6 +443,18 @@ dev = ["python-jose[cryptography] (>=3.3.0,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<
doc = ["mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=7.1.9,<8.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "typer-cli (>=0.0.12,<0.0.13)", "pyyaml (>=5.3.1,<6.0.0)"]
test = ["pytest (>=6.2.4,<7.0.0)", "pytest-cov (>=2.12.0,<4.0.0)", "mypy (==0.910)", "flake8 (>=3.8.3,<4.0.0)", "black (==21.9b0)", "isort (>=5.0.6,<6.0.0)", "requests (>=2.24.0,<3.0.0)", "httpx (>=0.14.0,<0.19.0)", "email_validator (>=1.1.1,<2.0.0)", "sqlalchemy (>=1.3.18,<1.5.0)", "peewee (>=3.13.3,<4.0.0)", "databases[sqlite] (>=0.3.2,<0.6.0)", "orjson (>=3.2.1,<4.0.0)", "ujson (>=4.0.1,<5.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "flask (>=1.1.2,<3.0.0)", "anyio[trio] (>=3.2.1,<4.0.0)", "types-ujson (==0.1.1)", "types-orjson (==3.6.0)", "types-dataclasses (==0.1.7)"]
[[package]]
name = "filelock"
version = "3.3.0"
description = "A platform independent file lock."
category = "dev"
optional = false
python-versions = ">=3.6"
[package.extras]
docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
[[package]]
name = "flake8"
version = "3.9.2"
@ -595,9 +638,20 @@ python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
[package.extras]
docs = ["sphinx"]
[[package]]
name = "identify"
version = "2.3.0"
description = "File identification library for Python"
category = "dev"
optional = false
python-versions = ">=3.6.1"
[package.extras]
license = ["editdistance-s"]
[[package]]
name = "idna"
version = "3.2"
version = "3.3"
description = "Internationalized Domain Names in Applications (IDNA)"
category = "dev"
optional = false
@ -634,6 +688,21 @@ docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
perf = ["ipython"]
testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
[[package]]
name = "importlib-resources"
version = "5.2.2"
description = "Read resources from Python packages"
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
[package.extras]
docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-black (>=0.3.7)", "pytest-mypy"]
[[package]]
name = "iniconfig"
version = "1.1.1"
@ -786,6 +855,14 @@ category = "dev"
optional = false
python-versions = ">=3.5"
[[package]]
name = "nodeenv"
version = "1.6.0"
description = "Node.js virtual environment builder"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "nr.fs"
version = "1.6.3"
@ -920,6 +997,24 @@ importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pre-commit"
version = "2.15.0"
description = "A framework for managing and maintaining multi-language pre-commit hooks."
category = "dev"
optional = false
python-versions = ">=3.6.1"
[package.dependencies]
cfgv = ">=2.0.0"
identify = ">=1.0.0"
importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
importlib-resources = {version = "*", markers = "python_version < \"3.7\""}
nodeenv = ">=0.11.1"
pyyaml = ">=5.1"
toml = "*"
virtualenv = ">=20.0.8"
[[package]]
name = "psycopg2-binary"
version = "2.9.1"
@ -1380,6 +1475,27 @@ brotli = ["brotlipy (>=0.6.0)"]
secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
[[package]]
name = "virtualenv"
version = "20.8.1"
description = "Virtual Python Environment builder"
category = "dev"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
[package.dependencies]
"backports.entry-points-selectable" = ">=1.0.4"
distlib = ">=0.3.1,<1"
filelock = ">=3.0.0,<4"
importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
importlib-resources = {version = ">=1.0", markers = "python_version < \"3.7\""}
platformdirs = ">=2,<3"
six = ">=1.9.0,<2"
[package.extras]
docs = ["proselint (>=0.10.2)", "sphinx (>=3)", "sphinx-argparse (>=0.2.5)", "sphinx-rtd-theme (>=0.4.3)", "towncrier (>=19.9.0rc1)"]
testing = ["coverage (>=4)", "coverage-enable-subprocess (>=1)", "flaky (>=3)", "pytest (>=4)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.1)", "pytest-mock (>=2)", "pytest-randomly (>=1)", "pytest-timeout (>=1)", "packaging (>=20.0)"]
[[package]]
name = "watchdog"
version = "2.1.6"
@ -1393,7 +1509,7 @@ watchmedo = ["PyYAML (>=3.10)"]
[[package]]
name = "wrapt"
version = "1.13.1"
version = "1.13.2"
description = "Module for decorators, wrappers and monkey patching."
category = "dev"
optional = false
@ -1434,7 +1550,7 @@ sqlite = []
[metadata]
lock-version = "1.1"
python-versions = "^3.6.2"
content-hash = "b91a03b4747e33b324f8856d2b5efddf0ceaad773473409b0acff2668013bc4b"
content-hash = "2941acd715d35ca51eeaae5dffe2d7a9b2bff0ae7b74d56479c2cfedccdd3e63"
[metadata.files]
aiocontextvars = [
@ -1454,8 +1570,8 @@ aiosqlite = [
{file = "aiosqlite-0.17.0.tar.gz", hash = "sha256:f0e6acc24bc4864149267ac82fb46dfb3be4455f99fe21df82609cc6e6baee51"},
]
anyio = [
{file = "anyio-3.3.2-py3-none-any.whl", hash = "sha256:c32da314c510b34a862f5afeaf8a446ffed2c2fde21583e654bd71ecfb5b744b"},
{file = "anyio-3.3.2.tar.gz", hash = "sha256:0b993a2ef6c1dc456815c2b5ca2819f382f20af98087cc2090a4afed3a501436"},
{file = "anyio-3.3.3-py3-none-any.whl", hash = "sha256:56ceaeed2877723578b1341f4f68c29081db189cfb40a97d1922b9513f6d7db6"},
{file = "anyio-3.3.3.tar.gz", hash = "sha256:8eccec339cb4a856c94a75d50fc1d451faf32a05ef406be462e2efc59c9838b0"},
]
astpretty = [
{file = "astpretty-2.1.0-py2.py3-none-any.whl", hash = "sha256:f81f14b5636f7af81fadb1e3c09ca7702ce4615500d9cc6d6829befb2dec2e3c"},
@ -1488,6 +1604,10 @@ attrs = [
{file = "attrs-21.2.0-py2.py3-none-any.whl", hash = "sha256:149e90d6d8ac20db7a955ad60cf0e6881a3f20d37096140088356da6c716b0b1"},
{file = "attrs-21.2.0.tar.gz", hash = "sha256:ef6aaac3ca6cd92904cdd0d83f629a15f18053ec84e6432106f7a4d04ae4f5fb"},
]
"backports.entry-points-selectable" = [
{file = "backports.entry_points_selectable-1.1.0-py2.py3-none-any.whl", hash = "sha256:a6d9a871cde5e15b4c4a53e3d43ba890cc6861ec1332c9c2428c92f977192acc"},
{file = "backports.entry_points_selectable-1.1.0.tar.gz", hash = "sha256:988468260ec1c196dab6ae1149260e2f5472c9110334e5d51adcb77867361f6a"},
]
bandit = [
{file = "bandit-1.7.0-py3-none-any.whl", hash = "sha256:216be4d044209fa06cf2a3e51b319769a51be8318140659719aa7a115c35ed07"},
{file = "bandit-1.7.0.tar.gz", hash = "sha256:8a4c7415254d75df8ff3c3b15cfe9042ecee628a1e40b44c15a98890fbfc2608"},
@ -1547,13 +1667,17 @@ cffi = [
{file = "cffi-1.14.6-cp39-cp39-win_amd64.whl", hash = "sha256:818014c754cd3dba7229c0f5884396264d51ffb87ec86e927ef0be140bfdb0d2"},
{file = "cffi-1.14.6.tar.gz", hash = "sha256:c9a875ce9d7fe32887784274dd533c57909b7b1dcadcc128a2ac21331a9765dd"},
]
cfgv = [
{file = "cfgv-3.3.1-py2.py3-none-any.whl", hash = "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426"},
{file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
]
charset-normalizer = [
{file = "charset-normalizer-2.0.6.tar.gz", hash = "sha256:5ec46d183433dcbd0ab716f2d7f29d8dee50505b3fdb40c6b985c7c4f5a3591f"},
{file = "charset_normalizer-2.0.6-py3-none-any.whl", hash = "sha256:5d209c0a931f215cee683b6445e2d77677e7e75e159f78def0db09d68fafcaa6"},
{file = "charset-normalizer-2.0.7.tar.gz", hash = "sha256:e019de665e2bcf9c2b64e2e5aa025fa991da8720daa3c1138cadd2fd1856aed0"},
{file = "charset_normalizer-2.0.7-py3-none-any.whl", hash = "sha256:f7af805c321bfa1ce6714c51f254e0d5bb5e5834039bc17db7ebe3a4cec9492b"},
]
click = [
{file = "click-8.0.2-py3-none-any.whl", hash = "sha256:3fab8aeb8f15f5452ae7511ad448977b3417325bceddd53df87e0bb81f3a8cf8"},
{file = "click-8.0.2.tar.gz", hash = "sha256:7027bc7bbafaab8b2c2816861d8eb372429ee3c02e193fc2f93d6c4ab9de49c5"},
{file = "click-8.0.3-py3-none-any.whl", hash = "sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3"},
{file = "click-8.0.3.tar.gz", hash = "sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"},
]
codecov = [
{file = "codecov-2.1.12-py2.py3-none-any.whl", hash = "sha256:585dc217dc3d8185198ceb402f85d5cb5dbfa0c5f350a5abcdf9e347776a5b47"},
@ -1575,39 +1699,39 @@ contextvars = [
{file = "contextvars-2.4.tar.gz", hash = "sha256:f38c908aaa59c14335eeea12abea5f443646216c4e29380d7bf34d2018e2c39e"},
]
coverage = [
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yappi = [
{file = "yappi-1.3.3.tar.gz", hash = "sha256:855890cd9a90d833dd2df632d648de8ccd0a4c3131f1edc8abd004db0625b5e8"},

4
pyproject.toml
View File

@ -1,6 +1,6 @@
[tool.poetry]
name = "ormar"
version = "0.10.20"
version = "0.10.21"
description = "A simple async ORM with fastapi in mind and pydantic validation."
authors = ["Radosław Drążkiewicz <collerek@gmail.com>"]
license = "MIT"
@ -115,6 +115,8 @@ dataclasses = { version = ">=0.6.0,<0.8 || >0.8,<1.0.0" }
# Performance testing
yappi = "^1.3.3"
pre-commit = "^2.15.0"
[tool.poetry.extras]
postgresql = ["asyncpg", "psycopg2-binary"]
postgres = ["asyncpg", "psycopg2-binary"]

1
tests/test_fastapi/test_choices_schema.py
View File

@ -121,7 +121,6 @@ def test_all_endpoints():
"blob_col": blob.decode("utf-8"),
},
)
assert response.status_code == 200
item = Organisation(**response.json())
assert item.pk is not None

9
tests/test_fastapi/test_excludes_with_get_pydantic.py
View File

@ -4,11 +4,8 @@ from fastapi import FastAPI
from starlette.testclient import TestClient
from tests.settings import DATABASE_URL
from tests.test_inheritance_and_pydantic_generation.test_geting_the_pydantic_models import (
from tests.test_inheritance_and_pydantic_generation.test_geting_pydantic_models import (
Category,
Item,
MutualA,
MutualB,
SelfRef,
database,
metadata,
@ -53,7 +50,9 @@ app.post("/categories/", response_model=Category)(create_category)
response_model=SelfRef.get_pydantic(exclude={"parent", "children__name"}),
)
async def create_selfref(
selfref: SelfRef.get_pydantic(exclude={"children__name"}), # type: ignore
selfref: SelfRef.get_pydantic( # type: ignore
exclude={"children__name"} # noqa: F821
),
):
selfr = SelfRef(**selfref.dict())
await selfr.save()

0
tests/test_inheritance_and_pydantic_generation/test_geting_the_pydantic_models.py → tests/test_inheritance_and_pydantic_generation/test_geting_pydantic_models.py
View File

4
tests/test_inheritance_and_pydantic_generation/test_pydantic_fields_order.py
View File

@ -14,7 +14,7 @@ class BaseMeta(ormar.ModelMeta):
metadata = metadata
class TestModel(ormar.Model):
class NewTestModel(ormar.Model):
class Meta:
database = database
metadata = metadata
@ -37,5 +37,5 @@ def create_test_database():
def test_model_field_order():
TestCreate = TestModel.get_pydantic(exclude={"a"})
TestCreate = NewTestModel.get_pydantic(exclude={"a"})
assert list(TestCreate.__fields__.keys()) == ["b", "c", "d", "e", "f"]

67
tests/test_inheritance_and_pydantic_generation/test_validators_in_generated_pydantic.py Normal file
View File

@ -0,0 +1,67 @@
import enum
import databases
import pydantic
import pytest
import sqlalchemy
from pydantic import ValidationError
import ormar
from tests.settings import DATABASE_URL
metadata = sqlalchemy.MetaData()
database = databases.Database(DATABASE_URL)
class BaseMeta(ormar.ModelMeta):
database = database
metadata = metadata
class EnumExample(str, enum.Enum):
A = "A"
B = "B"
C = "C"
class ModelExample(ormar.Model):
class Meta(ormar.ModelMeta):
database = database
metadata = metadata
tablename = "examples"
id: int = ormar.Integer(primary_key=True)
str_field: str = ormar.String(min_length=5, max_length=10, nullable=False)
enum_field: str = ormar.String(
max_length=1, nullable=False, choices=list(EnumExample)
)
@pydantic.validator("str_field")
def validate_str_field(cls, v):
if " " not in v:
raise ValueError("must contain a space")
return v
ModelExampleCreate = ModelExample.get_pydantic(exclude={"id"})
def test_ormar_validator():
ModelExample(str_field="a aaaaaa", enum_field="A")
with pytest.raises(ValidationError) as e:
ModelExample(str_field="aaaaaaa", enum_field="A")
assert "must contain a space" in str(e)
with pytest.raises(ValidationError) as e:
ModelExample(str_field="a aaaaaaa", enum_field="Z")
assert "not in allowed choices" in str(e)
def test_pydantic_validator():
ModelExampleCreate(str_field="a aaaaaa", enum_field="A")
with pytest.raises(ValidationError) as e:
ModelExampleCreate(str_field="aaaaaaa", enum_field="A")
assert "must contain a space" in str(e)
with pytest.raises(ValidationError) as e:
ModelExampleCreate(str_field="a aaaaaaa", enum_field="Z")
assert "not in allowed choices" in str(e)

87
tests/test_model_definition/test_model_construct.py Normal file
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@ -0,0 +1,87 @@
from typing import List
import databases
import pytest
import sqlalchemy
import ormar
from tests.settings import DATABASE_URL
database = databases.Database(DATABASE_URL, force_rollback=True)
metadata = sqlalchemy.MetaData()
class NickNames(ormar.Model):
class Meta:
tablename = "nicks"
metadata = metadata
database = database
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=100, nullable=False, name="hq_name")
class NicksHq(ormar.Model):
class Meta:
tablename = "nicks_x_hq"
metadata = metadata
database = database
class HQ(ormar.Model):
class Meta:
tablename = "hqs"
metadata = metadata
database = database
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=100, nullable=False, name="hq_name")
nicks: List[NickNames] = ormar.ManyToMany(NickNames, through=NicksHq)
class Company(ormar.Model):
class Meta:
tablename = "companies"
metadata = metadata
database = database
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=100, nullable=False, name="company_name")
founded: int = ormar.Integer(nullable=True)
hq: HQ = ormar.ForeignKey(HQ)
@pytest.fixture(autouse=True, scope="module")
def create_test_database():
engine = sqlalchemy.create_engine(DATABASE_URL)
metadata.drop_all(engine)
metadata.create_all(engine)
yield
metadata.drop_all(engine)
@pytest.mark.asyncio
async def test_init_and_construct_has_same_effect():
async with database:
async with database.transaction(force_rollback=True):
hq = await HQ.objects.create(name="Main")
comp = Company(name="Banzai", hq=hq, founded=1988)
comp2 = Company.construct(**dict(name="Banzai", hq=hq, founded=1988))
assert comp.dict() == comp2.dict()
comp3 = Company.construct(**dict(name="Banzai", hq=hq.dict(), founded=1988))
assert comp.dict() == comp3.dict()
@pytest.mark.asyncio
async def test_init_and_construct_has_same_effect_with_m2m():
async with database:
async with database.transaction(force_rollback=True):
n1 = await NickNames(name="test").save()
n2 = await NickNames(name="test2").save()
hq = HQ(name="Main", nicks=[n1, n2])
hq2 = HQ.construct(**dict(name="Main", nicks=[n1, n2]))
assert hq.dict() == hq2.dict()
hq3 = HQ.construct(**dict(name="Main", nicks=[n1.dict(), n2.dict()]))
assert hq.dict() == hq3.dict()

2
tests/test_model_definition/test_save_status.py
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@ -63,7 +63,7 @@ def create_test_database():
@pytest.mark.asyncio
async def test_instantation_false_save_true():
async def test_instantiation_false_save_true():
async with database:
async with database.transaction(force_rollback=True):
comp = Company(name="Banzai", founded=1988)