Skip to content

model_fields

BigInteger

Bases: Integer, int

BigInteger field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
class BigInteger(Integer, int):
    """
    BigInteger field factory that construct Field classes and populated their values.
    """

    _type = int
    _sample = 0

    def __new__(  # type: ignore
        cls,
        *,
        minimum: Optional[int] = None,
        maximum: Optional[int] = None,
        multiple_of: Optional[int] = None,
        **kwargs: Any
    ) -> BaseField:
        autoincrement = kwargs.pop("autoincrement", None)
        autoincrement = (
            autoincrement
            if autoincrement is not None
            else kwargs.get("primary_key", False)
        )
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        kwargs["ge"] = kwargs["minimum"]
        kwargs["le"] = kwargs["maximum"]
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.BigInteger()

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
579
580
581
582
583
584
585
586
587
588
589
590
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.BigInteger()

Boolean

Bases: ModelFieldFactory, int

Boolean field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
class Boolean(ModelFieldFactory, int):
    """
    Boolean field factory that construct Field classes and populated their values.
    """

    _type = bool
    _sample = True

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.Boolean()

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
340
341
342
343
344
345
346
347
348
349
350
351
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.Boolean()

Date

Bases: ModelFieldFactory, date

Date field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
class Date(ModelFieldFactory, datetime.date):
    """
    Date field factory that construct Field classes and populated their values.
    """

    _type = datetime.date
    _sample = "date"

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.Date()

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
397
398
399
400
401
402
403
404
405
406
407
408
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.Date()

DateTime

Bases: ModelFieldFactory, datetime

DateTime field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
class DateTime(ModelFieldFactory, datetime.datetime):
    """
    DateTime field factory that construct Field classes and populated their values.
    """

    _type = datetime.datetime
    _sample = "datetime"

    def __new__(  # type: ignore # noqa CFQ002
        cls, *, timezone: bool = False, **kwargs: Any
    ) -> BaseField:  # type: ignore
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.DateTime(timezone=kwargs.get("timezone", False))

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
375
376
377
378
379
380
381
382
383
384
385
386
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.DateTime(timezone=kwargs.get("timezone", False))

Decimal

Bases: ModelFieldFactory, Decimal

Decimal field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
class Decimal(ModelFieldFactory, decimal.Decimal):
    """
    Decimal field factory that construct Field classes and populated their values.
    """

    _type = decimal.Decimal
    _sample = 0.0

    def __new__(  # type: ignore # noqa CFQ002
        cls,
        *,
        minimum: Optional[float] = None,
        maximum: Optional[float] = None,
        multiple_of: Optional[int] = None,
        precision: Optional[int] = None,
        scale: Optional[int] = None,
        max_digits: Optional[int] = None,
        decimal_places: Optional[int] = None,
        **kwargs: Any
    ) -> BaseField:
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        kwargs["ge"] = kwargs["minimum"]
        kwargs["le"] = kwargs["maximum"]

        if kwargs.get("max_digits"):
            kwargs["precision"] = kwargs["max_digits"]
        elif kwargs.get("precision"):
            kwargs["max_digits"] = kwargs["precision"]

        if kwargs.get("decimal_places"):
            kwargs["scale"] = kwargs["decimal_places"]
        elif kwargs.get("scale"):
            kwargs["decimal_places"] = kwargs["scale"]

        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        precision = kwargs.get("precision")
        scale = kwargs.get("scale")
        return sqlalchemy.DECIMAL(precision=precision, scale=scale)

    @classmethod
    def validate(cls, **kwargs: Any) -> None:
        """
        Used to validate if all required parameters on a given field type are set.
        :param kwargs: all params passed during construction
        :type kwargs: Any
        """
        precision = kwargs.get("precision")
        scale = kwargs.get("scale")
        if precision is None or precision < 0 or scale is None or scale < 0:
            raise ModelDefinitionError(
                "Parameters scale and precision are required for field Decimal"
            )

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
684
685
686
687
688
689
690
691
692
693
694
695
696
697
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    precision = kwargs.get("precision")
    scale = kwargs.get("scale")
    return sqlalchemy.DECIMAL(precision=precision, scale=scale)

validate(**kwargs) classmethod

Used to validate if all required parameters on a given field type are set.

Parameters:

Name Type Description Default
kwargs Any

all params passed during construction

{}
Source code in ormar\fields\model_fields.py
699
700
701
702
703
704
705
706
707
708
709
710
711
@classmethod
def validate(cls, **kwargs: Any) -> None:
    """
    Used to validate if all required parameters on a given field type are set.
    :param kwargs: all params passed during construction
    :type kwargs: Any
    """
    precision = kwargs.get("precision")
    scale = kwargs.get("scale")
    if precision is None or precision < 0 or scale is None or scale < 0:
        raise ModelDefinitionError(
            "Parameters scale and precision are required for field Decimal"
        )

Enum

Bases: ModelFieldFactory

Enum field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
class Enum(ModelFieldFactory):
    """
    Enum field factory that construct Field classes and populated their values.
    """

    _type = E
    _sample = None

    def __new__(  # type: ignore # noqa CFQ002
        cls, *, enum_class: Type[E], **kwargs: Any
    ) -> BaseField:
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        return super().__new__(cls, **kwargs)

    @classmethod
    def validate(cls, **kwargs: Any) -> None:
        enum_class = kwargs.get("enum_class")
        if enum_class is None or not isinstance(enum_class, EnumMeta):
            raise ModelDefinitionError("Enum Field choices must be EnumType")

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        enum_cls = kwargs.get("enum_class")
        return sqlalchemy.Enum(enum_cls)

Float

Bases: ModelFieldFactory, float

Float field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
class Float(ModelFieldFactory, float):
    """
    Float field factory that construct Field classes and populated their values.
    """

    _type = float
    _sample = 0.0

    def __new__(  # type: ignore
        cls,
        *,
        minimum: Optional[float] = None,
        maximum: Optional[float] = None,
        multiple_of: Optional[int] = None,
        **kwargs: Any
    ) -> BaseField:
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        kwargs["ge"] = kwargs["minimum"]
        kwargs["le"] = kwargs["maximum"]
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.Float()

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
311
312
313
314
315
316
317
318
319
320
321
322
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.Float()

Integer

Bases: ModelFieldFactory, int

Integer field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
class Integer(ModelFieldFactory, int):
    """
    Integer field factory that construct Field classes and populated their values.
    """

    _type = int
    _sample = 0

    def __new__(  # type: ignore
        cls,
        *,
        minimum: Optional[int] = None,
        maximum: Optional[int] = None,
        multiple_of: Optional[int] = None,
        **kwargs: Any
    ) -> BaseField:
        autoincrement = kwargs.pop("autoincrement", None)
        autoincrement = (
            autoincrement
            if autoincrement is not None
            else kwargs.get("primary_key", False)
        )
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        kwargs["ge"] = kwargs["minimum"]
        kwargs["le"] = kwargs["maximum"]
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.Integer()

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
236
237
238
239
240
241
242
243
244
245
246
247
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.Integer()

JSON

Bases: ModelFieldFactory, Json

JSON field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
class JSON(ModelFieldFactory, pydantic.Json):
    """
    JSON field factory that construct Field classes and populated their values.
    """

    _type = pydantic.Json
    _sample = '{"json": "json"}'

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.JSON(none_as_null=kwargs.get("sql_nullable", False))

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
454
455
456
457
458
459
460
461
462
463
464
465
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.JSON(none_as_null=kwargs.get("sql_nullable", False))

LargeBinary

Bases: ModelFieldFactory, bytes

LargeBinary field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
class LargeBinary(ModelFieldFactory, bytes):
    """
    LargeBinary field factory that construct Field classes
    and populated their values.
    """

    _type = bytes
    _sample = "bytes"

    def __new__(  # type: ignore # noqa CFQ002
        cls,
        *,
        max_length: int,
        represent_as_base64_str: bool = False,
        **kwargs: Any
    ) -> BaseField:  # type: ignore
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.LargeBinary(length=kwargs.get("max_length"))

    @classmethod
    def validate(cls, **kwargs: Any) -> None:
        """
        Used to validate if all required parameters on a given field type are set.
        :param kwargs: all params passed during construction
        :type kwargs: Any
        """
        max_length = kwargs.get("max_length", None)
        if max_length <= 0:
            raise ModelDefinitionError(
                "Parameter max_length is required for field LargeBinary"
            )

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
518
519
520
521
522
523
524
525
526
527
528
529
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.LargeBinary(length=kwargs.get("max_length"))

validate(**kwargs) classmethod

Used to validate if all required parameters on a given field type are set.

Parameters:

Name Type Description Default
kwargs Any

all params passed during construction

{}
Source code in ormar\fields\model_fields.py
531
532
533
534
535
536
537
538
539
540
541
542
@classmethod
def validate(cls, **kwargs: Any) -> None:
    """
    Used to validate if all required parameters on a given field type are set.
    :param kwargs: all params passed during construction
    :type kwargs: Any
    """
    max_length = kwargs.get("max_length", None)
    if max_length <= 0:
        raise ModelDefinitionError(
            "Parameter max_length is required for field LargeBinary"
        )

ModelFieldFactory

Default field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
class ModelFieldFactory:
    """
    Default field factory that construct Field classes and populated their values.
    """

    _bases: Any = (BaseField,)
    _type: Any = None
    _sample: Any = None

    def __new__(cls, *args: Any, **kwargs: Any) -> BaseField:  # type: ignore
        cls.validate(**kwargs)

        default = kwargs.pop("default", None)
        server_default = kwargs.pop("server_default", None)
        nullable = kwargs.pop("nullable", None)
        sql_nullable = kwargs.pop("sql_nullable", None)

        primary_key = kwargs.pop("primary_key", False)
        autoincrement = kwargs.pop("autoincrement", False)

        encrypt_secret = kwargs.pop("encrypt_secret", None)
        encrypt_backend = kwargs.pop("encrypt_backend", EncryptBackends.NONE)
        encrypt_custom_backend = kwargs.pop("encrypt_custom_backend", None)

        overwrite_pydantic_type = kwargs.pop("overwrite_pydantic_type", None)

        nullable = is_field_nullable(
            nullable, default, server_default
        ) or is_auto_primary_key(primary_key, autoincrement)
        sql_nullable = (
            False
            if primary_key
            else (nullable if sql_nullable is None else sql_nullable)
        )

        enum_class = kwargs.pop("enum_class", None)
        field_type = cls._type if enum_class is None else enum_class

        namespace = dict(
            __type__=field_type,
            __pydantic_type__=(
                overwrite_pydantic_type
                if overwrite_pydantic_type is not None
                else field_type
            ),
            __sample__=cls._sample,
            alias=kwargs.pop("name", None),
            name=None,
            primary_key=primary_key,
            default=default,
            server_default=server_default,
            nullable=nullable,
            annotation=field_type,
            sql_nullable=sql_nullable,
            index=kwargs.pop("index", False),
            unique=kwargs.pop("unique", False),
            autoincrement=autoincrement,
            column_type=cls.get_column_type(
                **kwargs, sql_nullable=sql_nullable, enum_class=enum_class
            ),
            encrypt_secret=encrypt_secret,
            encrypt_backend=encrypt_backend,
            encrypt_custom_backend=encrypt_custom_backend,
            **kwargs
        )
        Field = type(cls.__name__, cls._bases, {})
        return Field(**namespace)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:  # pragma no cover
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return None

    @classmethod
    def validate(cls, **kwargs: Any) -> None:  # pragma no cover
        """
        Used to validate if all required parameters on a given field type are set.
        :param kwargs: all params passed during construction
        :type kwargs: Any
        """

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
127
128
129
130
131
132
133
134
135
136
137
138
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:  # pragma no cover
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return None

validate(**kwargs) classmethod

Used to validate if all required parameters on a given field type are set.

Parameters:

Name Type Description Default
kwargs Any

all params passed during construction

{}
Source code in ormar\fields\model_fields.py
140
141
142
143
144
145
146
@classmethod
def validate(cls, **kwargs: Any) -> None:  # pragma no cover
    """
    Used to validate if all required parameters on a given field type are set.
    :param kwargs: all params passed during construction
    :type kwargs: Any
    """

SmallInteger

Bases: Integer, int

SmallInteger field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
class SmallInteger(Integer, int):
    """
    SmallInteger field factory that construct Field classes and populated their values.
    """

    _type = int
    _sample = 0

    def __new__(  # type: ignore
        cls,
        *,
        minimum: Optional[int] = None,
        maximum: Optional[int] = None,
        multiple_of: Optional[int] = None,
        **kwargs: Any
    ) -> BaseField:
        autoincrement = kwargs.pop("autoincrement", None)
        autoincrement = (
            autoincrement
            if autoincrement is not None
            else kwargs.get("primary_key", False)
        )
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        kwargs["ge"] = kwargs["minimum"]
        kwargs["le"] = kwargs["maximum"]
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.SmallInteger()

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
627
628
629
630
631
632
633
634
635
636
637
638
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.SmallInteger()

String

Bases: ModelFieldFactory, str

String field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
class String(ModelFieldFactory, str):
    """
    String field factory that construct Field classes and populated their values.
    """

    _type = str
    _sample = "string"

    def __new__(  # type: ignore # noqa CFQ002
        cls,
        *,
        max_length: int,
        min_length: Optional[int] = None,
        regex: Optional[str] = None,
        **kwargs: Any
    ) -> BaseField:  # type: ignore
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.String(length=kwargs.get("max_length"))

    @classmethod
    def validate(cls, **kwargs: Any) -> None:
        """
        Used to validate if all required parameters on a given field type are set.
        :param kwargs: all params passed during construction
        :type kwargs: Any
        """
        max_length = kwargs.get("max_length", None)
        if max_length <= 0:
            raise ModelDefinitionError(
                "Parameter max_length is required for field String"
            )

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
175
176
177
178
179
180
181
182
183
184
185
186
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.String(length=kwargs.get("max_length"))

validate(**kwargs) classmethod

Used to validate if all required parameters on a given field type are set.

Parameters:

Name Type Description Default
kwargs Any

all params passed during construction

{}
Source code in ormar\fields\model_fields.py
188
189
190
191
192
193
194
195
196
197
198
199
@classmethod
def validate(cls, **kwargs: Any) -> None:
    """
    Used to validate if all required parameters on a given field type are set.
    :param kwargs: all params passed during construction
    :type kwargs: Any
    """
    max_length = kwargs.get("max_length", None)
    if max_length <= 0:
        raise ModelDefinitionError(
            "Parameter max_length is required for field String"
        )

Text

Bases: ModelFieldFactory, str

Text field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
class Text(ModelFieldFactory, str):
    """
    Text field factory that construct Field classes and populated their values.
    """

    _type = str
    _sample = "text"

    def __new__(cls, **kwargs: Any) -> BaseField:  # type: ignore
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.Text()

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
269
270
271
272
273
274
275
276
277
278
279
280
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.Text()

Time

Bases: ModelFieldFactory, time

Time field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
class Time(ModelFieldFactory, datetime.time):
    """
    Time field factory that construct Field classes and populated their values.
    """

    _type = datetime.time
    _sample = "time"

    def __new__(  # type: ignore # noqa CFQ002
        cls, *, timezone: bool = False, **kwargs: Any
    ) -> BaseField:  # type: ignore
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }
        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        return sqlalchemy.Time(timezone=kwargs.get("timezone", False))

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
432
433
434
435
436
437
438
439
440
441
442
443
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    return sqlalchemy.Time(timezone=kwargs.get("timezone", False))

UUID

Bases: ModelFieldFactory, UUID

UUID field factory that construct Field classes and populated their values.

Source code in ormar\fields\model_fields.py
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
class UUID(ModelFieldFactory, uuid.UUID):
    """
    UUID field factory that construct Field classes and populated their values.
    """

    _type = uuid.UUID
    _sample = "uuid"

    def __new__(  # type: ignore # noqa CFQ002
        cls, *, uuid_format: str = "hex", **kwargs: Any
    ) -> BaseField:
        kwargs = {
            **kwargs,
            **{
                k: v
                for k, v in locals().items()
                if k not in ["cls", "__class__", "kwargs"]
            },
        }

        return super().__new__(cls, **kwargs)

    @classmethod
    def get_column_type(cls, **kwargs: Any) -> Any:
        """
        Return proper type of db column for given field type.
        Accepts required and optional parameters that each column type accepts.

        :param kwargs: key, value pairs of sqlalchemy options
        :type kwargs: Any
        :return: initialized column with proper options
        :rtype: sqlalchemy Column
        """
        uuid_format = kwargs.get("uuid_format", "hex")
        return sqlalchemy_uuid.UUID(uuid_format=uuid_format)

get_column_type(**kwargs) classmethod

Return proper type of db column for given field type. Accepts required and optional parameters that each column type accepts.

Parameters:

Name Type Description Default
kwargs Any

key, value pairs of sqlalchemy options

{}

Returns:

Type Description
sqlalchemy Column

initialized column with proper options

Source code in ormar\fields\model_fields.py
736
737
738
739
740
741
742
743
744
745
746
747
748
@classmethod
def get_column_type(cls, **kwargs: Any) -> Any:
    """
    Return proper type of db column for given field type.
    Accepts required and optional parameters that each column type accepts.

    :param kwargs: key, value pairs of sqlalchemy options
    :type kwargs: Any
    :return: initialized column with proper options
    :rtype: sqlalchemy Column
    """
    uuid_format = kwargs.get("uuid_format", "hex")
    return sqlalchemy_uuid.UUID(uuid_format=uuid_format)

is_auto_primary_key(primary_key, autoincrement)

Checks if field is an autoincrement pk -> if yes it's optional.

Parameters:

Name Type Description Default
primary_key bool

flag if field is a pk field

required
autoincrement bool

flag if field should be autoincrement

required

Returns:

Type Description
bool

result of the check

Source code in ormar\fields\model_fields.py
45
46
47
48
49
50
51
52
53
54
55
56
def is_auto_primary_key(primary_key: bool, autoincrement: bool) -> bool:
    """
    Checks if field is an autoincrement pk -> if yes it's optional.

    :param primary_key: flag if field is a pk field
    :type primary_key: bool
    :param autoincrement: flag if field should be autoincrement
    :type autoincrement: bool
    :return: result of the check
    :rtype: bool
    """
    return primary_key and autoincrement

is_field_nullable(nullable, default, server_default)

Checks if the given field should be nullable/ optional based on parameters given.

Parameters:

Name Type Description Default
nullable Optional[bool]

flag explicit setting a column as nullable

required
default Any

value or function to be called as default in python

required
server_default Any

function to be called as default by sql server

required

Returns:

Type Description
bool

result of the check

Source code in ormar\fields\model_fields.py
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
def is_field_nullable(
    nullable: Optional[bool],
    default: Any,
    server_default: Any,
) -> bool:
    """
    Checks if the given field should be nullable/ optional based on parameters given.

    :param nullable: flag explicit setting a column as nullable
    :type nullable: Optional[bool]
    :param default: value or function to be called as default in python
    :type default: Any
    :param server_default: function to be called as default by sql server
    :type server_default: Any
    :return: result of the check
    :rtype: bool
    """
    if nullable is None:
        return default is not None or server_default is not None
    return nullable