v2.0.24

AutoFaker is available from PyPI and should be installed using pip

pip install autofaker==2.0.24

Supported data types

Currently autofaker supports creating anonymous variables for the following data types:

Built-in types:

• int
• float
• str
• complex
• range
• bytes
• bytearray
• tuple
• set
• frozenset
• dict
• decimal.Decimal
• uuid.UUID
• pathlib.Path

Datetime types:

• datetime
• date
• time
• timedelta

Typing generics:

• typing.Tuple[T, ...]
• typing.Set[T]
• typing.FrozenSet[T]
• typing.Dict[K, V]
• typing.Optional[T]
• typing.List[T]

Classes:

• Simple classes
• @DataClass
• Nested classes (and recursion)
• Classes containing lists of other types
• Enum classes
• typing.Literal types

Dataframes:

• Pandas dataframe

What's Changed

• Add support for Python 3.14 by in #63
• Fix bugs and issues in the current code base by @Copilot in #85
• Fix decorators to support no-paranthese usage (@autodata / @fakedata) by @christianhelle in #89
• Fix bugs: Annotation handling, ListGenerator fake data, PRIMITIVE_TYPES completeness, empty DataFrame by in #90
• Add support for tuple, set, frozenset, dict, Decimal, UUID, Path, time, timedelta, and typing generics by in #91
• Fix decorator deprecation warnings, edge case crashes, and code quality issues by in #88
• Drop Python 3.8 and 3.9 support by @christianhelle in #101
• Introduce type-resolution registry then consolidate collections & decorators by @christianhelle in #109

Full Changelog: 1.0.22...2.0.24

v1.0.19

AutoFaker is available from PyPI and should be installed using pip

pip install autofaker==1.0.19

Supported data types

Currently autofaker supports creating anonymous variables for the following data types:

Built-in types:

• int
• float
• str
• complex
• range
• bytes
• bytearray

Datetime types:

• datetime
• date

Classes:

• Simple classes
• @DataClass
• Nested classes (and recursion)
• Classes containing lists of other types
• Enum classes

Dataframes:

• Pandas dataframe

What's Changed

• Add support for using AutoFaker Decorators with pytest by @christianhelle in #3
• Fixing linting errors by @marksmayo in #4
• Add test cases for nested data classes by @christianhelle in #5
• Add Enum support by @christianhelle in #7
• Tidy-ups by @marksmayo in #9
• Add support for inherited enums by @christianhelle in #12
• Add support for future.annotations. by @jmpcm in #13
• fix: ValueError: mutable default <class 'list'> for field x is not alowed: use default_factory by @flobz in #18

Contributors

• @christianhelle made their first contribution in #3
• @marksmayo made their first contribution in #4
• @jmpcm made their first contribution in #13
• @flobz made their first contribution in #18

v1.0.18

AutoFaker is available from PyPI and should be installed using pip

pip install autofaker==1.0.18

Supported data types

Currently autofaker supports creating anonymous variables for the following data types:

Built-in types:

• int
• float
• str
• complex
• range
• bytes
• bytearray

Datetime types:

• datetime
• date

Classes:

• Simple classes
• @DataClass
• Nested classes (and recursion)
• Classes containing lists of other types
• Enum classes

Dataframes:

• Pandas dataframe

What's Changed

• Add support for using AutoFaker Decorators with pytest by @christianhelle in #3
• Fixing linting errors by @marksmayo in #4
• Add test cases for nested data classes by @christianhelle in #5
• Add Enum support by @christianhelle in #7
• Tidy-ups by @marksmayo in #9
• Add support for inherited enums by @christianhelle in #12
• Add support for future.annotations. by @jmpcm in #13

Contributors

• @christianhelle made their first contribution in #3
• @marksmayo made their first contribution in #4
• @jmpcm made their first contribution in #13