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@ -1,30 +1,37 @@
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import base64
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import datetime
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import decimal
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import numbers
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import uuid
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from enum import Enum
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from typing import Any, Dict, List, Set, TYPE_CHECKING, Tuple, Type, Union
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from typing import (
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Any,
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Callable,
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Dict,
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List,
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Set,
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TYPE_CHECKING,
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Type,
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Union,
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)
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try:
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import orjson as json
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except ImportError: # pragma: no cover
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import json # type: ignore
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import json # type: ignore # noqa: F401
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import pydantic
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from pydantic.fields import SHAPE_LIST
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from pydantic.class_validators import make_generic_validator
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from pydantic.fields import ModelField, SHAPE_LIST
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from pydantic.main import SchemaExtraCallable
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import ormar # noqa: I100, I202
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from ormar.fields import BaseField
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from ormar.models.helpers.models import meta_field_not_set
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from ormar.queryset.utils import translate_list_to_dict
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if TYPE_CHECKING: # pragma no cover
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from ormar import Model
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from ormar.fields import BaseField
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def check_if_field_has_choices(field: BaseField) -> bool:
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def check_if_field_has_choices(field: "BaseField") -> bool:
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"""
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Checks if given field has choices populated.
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A if it has one, a validator for this field needs to be attached.
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@ -37,110 +44,53 @@ def check_if_field_has_choices(field: BaseField) -> bool:
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return hasattr(field, "choices") and bool(field.choices)
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def convert_choices_if_needed( # noqa: CCR001
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field: "BaseField", value: Any
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) -> Tuple[Any, List]:
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def convert_value_if_needed(field: "BaseField", value: Any) -> Any:
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"""
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Converts dates to isoformat as fastapi can check this condition in routes
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and the fields are not yet parsed.
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Converts enums to list of it's values.
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Converts uuids to strings.
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Converts decimal to float with given scale.
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:param field: ormar field to check with choices
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:type field: BaseField
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:param value: current values of the model to verify
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:type value: Dict
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:return: value, choices list
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:rtype: Tuple[Any, List]
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"""
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# TODO use same maps as with EncryptedString
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choices = [o.value if isinstance(o, Enum) else o for o in field.choices]
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if field.__type__ in [datetime.datetime, datetime.date, datetime.time]:
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value = value.isoformat() if not isinstance(value, str) else value
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choices = [o.isoformat() for o in field.choices]
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elif field.__type__ == pydantic.Json:
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value = (
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json.dumps(value) if not isinstance(value, str) else re_dump_value(value)
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)
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value = value.decode("utf-8") if isinstance(value, bytes) else value
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choices = [re_dump_value(x) for x in field.choices]
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elif field.__type__ == uuid.UUID:
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value = str(value) if not isinstance(value, str) else value
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choices = [str(o) for o in field.choices]
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elif field.__type__ == decimal.Decimal:
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precision = field.scale # type: ignore
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value = (
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round(float(value), precision)
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if isinstance(value, decimal.Decimal)
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else value
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)
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choices = [round(float(o), precision) for o in choices]
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elif field.__type__ == bytes:
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if field.represent_as_base64_str:
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value = value if isinstance(value, bytes) else base64.b64decode(value)
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else:
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value = value if isinstance(value, bytes) else value.encode("utf-8")
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return value, choices
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def re_dump_value(value: str) -> str:
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"""
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Rw-dumps choices due to different string representation in orjson and json
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:param value: string to re-dump
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:type value: str
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:return: re-dumped choices
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:rtype: List[str]
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"""
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try:
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result: Union[str, bytes] = json.dumps(json.loads(value))
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except json.JSONDecodeError:
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result = value
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return result.decode("utf-8") if isinstance(result, bytes) else result
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def validate_choices(field: "BaseField", value: Any) -> None:
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"""
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Validates if given value is in provided choices.
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:raises ValueError: If value is not in choices.
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:param field:field to validate
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:type field: BaseField
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:param value: value of the field
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:type value: Any
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:return: value, choices list
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:rtype: Any
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"""
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value, choices = convert_choices_if_needed(field=field, value=value)
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if field.nullable:
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choices.append(None)
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if value is not ormar.Undefined and value not in choices:
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raise ValueError(
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f"{field.name}: '{value}' " f"not in allowed choices set:" f" {choices}"
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)
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encoder = ormar.ENCODERS_MAP.get(field.__type__, lambda x: x)
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if field.__type__ == decimal.Decimal:
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precision = field.scale # type: ignore
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value = encoder(value, precision)
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elif encoder:
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value = encoder(value)
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return value
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def choices_validator(cls: Type["Model"], values: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Validator that is attached to pydantic model pre root validators.
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Validator checks if field value is in field.choices list.
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def generate_validator(ormar_field: "BaseField") -> Callable:
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choices = ormar_field.choices
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:raises ValueError: if field value is outside of allowed choices.
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:param cls: constructed class
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:type cls: Model class
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:param values: dictionary of field values (pydantic side)
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:type values: Dict[str, Any]
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:return: values if pass validation, otherwise exception is raised
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:rtype: Dict[str, Any]
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"""
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for field_name, field in cls.Meta.model_fields.items():
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if check_if_field_has_choices(field):
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value = values.get(field_name, ormar.Undefined)
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validate_choices(field=field, value=value)
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return values
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def validate_choices(cls: type, value: Any, field: "ModelField") -> None:
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"""
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Validates if given value is in provided choices.
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:raises ValueError: If value is not in choices.
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:param field:field to validate
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:type field: BaseField
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:param value: value of the field
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:type value: Any
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"""
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adjusted_value = convert_value_if_needed(field=ormar_field, value=value)
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if adjusted_value is not ormar.Undefined and adjusted_value not in choices:
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raise ValueError(
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f"{field.name}: '{adjusted_value}' "
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f"not in allowed choices set:"
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f" {choices}"
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)
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return value
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return validate_choices
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def generate_model_example(model: Type["Model"], relation_map: Dict = None) -> Dict:
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@ -172,7 +122,7 @@ def generate_model_example(model: Type["Model"], relation_map: Dict = None) -> D
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def populates_sample_fields_values(
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example: Dict[str, Any], name: str, field: BaseField, relation_map: Dict = None
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example: Dict[str, Any], name: str, field: "BaseField", relation_map: Dict = None
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) -> None:
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"""
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Iterates the field and sets fields to sample values
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@ -350,15 +300,14 @@ def populate_choices_validators(model: Type["Model"]) -> None: # noqa CCR001
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"""
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fields_with_choices = []
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if not meta_field_not_set(model=model, field_name="model_fields"):
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if hasattr(model, "_choices_fields"):
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return
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model._choices_fields = set()
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for name, field in model.Meta.model_fields.items():
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if check_if_field_has_choices(field):
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fields_with_choices.append(name)
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validators = getattr(model, "__pre_root_validators__", [])
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if choices_validator not in validators:
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validators.append(choices_validator)
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model.__pre_root_validators__ = validators
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if not model._choices_fields:
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model._choices_fields = set()
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validator = make_generic_validator(generate_validator(field))
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model.__fields__[name].validators.append(validator)
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model._choices_fields.add(name)
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if fields_with_choices:
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