feat(type-coverage-generation): Model type coverage batch generation

docs/examples/model_coverage/test_example_1.py

@@ -0,0 +1,49 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Literal
+
+from polyfactory.factories.dataclass_factory import DataclassFactory
+
+
+@dataclass
+class Car:
+    model: str
+
+
+@dataclass
+class Boat:
+    can_float: bool
+
+
+@dataclass
+class Profile:
+    age: int
+    favourite_color: Literal["red", "green", "blue"]
+    vehicle: Car | Boat
+
+
+class ProfileFactory(DataclassFactory[Profile]):
+    __model__ = Profile
+
+
+profiles = list(ProfileFactory.coverage())
+
+# >>> print(profiles)
+[
+    Profile(
+        age=9325,
+        favourite_color="red",
+        vehicle=Car(model="hrxarraoDbdkBnpxMEiG"),
+    ),
+    Profile(
+        age=6840,
+        favourite_color="green",
+        vehicle=Boat(can_float=False),
+    ),
+    Profile(
+        age=4769,
+        favourite_color="blue",
+        vehicle=Car(model="hrxarraoDbdkBnpxMEiG"),
+    ),
+]

docs/examples/model_coverage/test_example_2.py

@@ -0,0 +1,38 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Literal
+
+from polyfactory.factories.dataclass_factory import DataclassFactory
+
+
+@dataclass
+class Car:
+    model: str
+
+
+@dataclass
+class Boat:
+    can_float: bool
+
+
+@dataclass
+class Profile:
+    age: int
+    favourite_color: Literal["red", "green", "blue"]
+    vehicle: Car | Boat
+
+
+@dataclass
+class SocialGroup:
+    members: list[Profile]
+
+
+class SocialGroupFactory(DataclassFactory[SocialGroup]):
+    __model__ = SocialGroup
+
+
+group = list(SocialGroupFactory.coverage())
+
+# >>> print(group)
+# >>> SocialGroup(members=[Profile(...), Profile(...), Profile(...)])

docs/usage/index.rst

@@ -12,3 +12,4 @@ Usage Guide
     decorators
     fixtures
     handling_custom_types
+    model_coverage

docs/usage/model_coverage.rst

@@ -0,0 +1,29 @@
+Model coverage generation
+=========================
+
+The ``BaseFactory.coverage()`` function is an alternative approach to ``BaseFactory.batch()``, where the examples that are generated attempt to provide full coverage of all the forms a model can take with the minimum number of instances. For example:
+
+.. literalinclude:: /examples/model_coverage/test_example_1.py
+    :caption: Defining a factory and generating examples with coverage
+    :language: python
+
+As you can see in the above example, the ````Profile```` model has 3 options for ``favourite_color``, and 2 options for ``vehicle``. In the output you can expect to see instances of ``Profile`` that have each of these options. The largest variance dictates the length of the output, in this case ``favourite_color`` has the most, at 3 options, so expect to see 3 ``Profile`` instances.
+
+
+.. note::
+    Notice that the same ``Car`` instance is used in the first and final generated example. When the coverage examples for a field are exhausted before another field, values for that field are re-used.
+
+Notes on collection types
+-------------------------
+
+When generating coverage for models with fields that are collections, in particular collections that contain sub-models, the contents of the collection will be the all coverage examples for that sub-model. For example:
+
+.. literalinclude:: /examples/model_coverage/test_example_2.py
+    :caption: Coverage output for the SocialGroup model
+    :language: python
+
+Known Limitations
+-----------------
+
+- Recursive models will cause an error: ``RecursionError: maximum recursion depth exceeded``.
+- ``__min_collection_length__`` and ``__max_collection_length__`` are currently ignored in coverage generation.

polyfactory/factories/base.py

@@ -22,6 +22,12 @@
 from os.path import realpath
 from pathlib import Path
 from random import Random
+
+try:
+    from types import NoneType
+except ImportError:
+    NoneType = type(None)  # type: ignore[misc,assignment]
+
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -46,13 +52,16 @@
     MIN_COLLECTION_LENGTH,
     RANDOMIZE_COLLECTION_LENGTH,
 )
-from polyfactory.exceptions import (
-    ConfigurationException,
-    MissingBuildKwargException,
-    ParameterException,
-)
+from polyfactory.exceptions import ConfigurationException, MissingBuildKwargException, ParameterException
 from polyfactory.fields import Fixture, Ignore, PostGenerated, Require, Use
-from polyfactory.utils.helpers import get_collection_type, unwrap_annotation, unwrap_args, unwrap_optional
+from polyfactory.utils.helpers import (
+    flatten_annotation,
+    get_collection_type,
+    unwrap_annotation,
+    unwrap_args,
+    unwrap_optional,
+)
+from polyfactory.utils.model_coverage import CoverageContainer, CoverageContainerCallable, resolve_kwargs_coverage
 from polyfactory.utils.predicates import (
     get_type_origin,
     is_any,
@@ -61,7 +70,7 @@
     is_safe_subclass,
     is_union,
 )
-from polyfactory.value_generators.complex_types import handle_collection_type
+from polyfactory.value_generators.complex_types import handle_collection_type, handle_collection_type_coverage
 from polyfactory.value_generators.constrained_collections import (
     handle_constrained_collection,
     handle_constrained_mapping,
@@ -263,6 +272,32 @@ def _handle_factory_field(cls, field_value: Any, field_build_parameters: Any | N
 
         return field_value() if callable(field_value) else field_value
 
+    @classmethod
+    def _handle_factory_field_coverage(cls, field_value: Any, field_build_parameters: Any | None = None) -> Any:
+        """Handle a value defined on the factory class itself.
+
+        :param field_value: A value defined as an attribute on the factory class.
+        :param field_build_parameters: Any build parameters passed to the factory as kwarg values.
+
+        :returns: An arbitrary value correlating with the given field_meta value.
+        """
+        if is_safe_subclass(field_value, BaseFactory):
+            if isinstance(field_build_parameters, Mapping):
+                return CoverageContainer(field_value.coverage(**field_build_parameters))
+
+            if isinstance(field_build_parameters, Sequence):
+                return [CoverageContainer(field_value.coverage(**parameter)) for parameter in field_build_parameters]
+
+            return CoverageContainer(field_value.coverage())
+
+        if isinstance(field_value, Use):
+            return field_value.to_value()
+
+        if isinstance(field_value, Fixture):
+            return CoverageContainerCallable(field_value.to_value)
+
+        return CoverageContainerCallable(field_value) if callable(field_value) else field_value
+
     @classmethod
     def _get_or_create_factory(cls, model: type) -> type[BaseFactory[Any]]:
         """Get a factory from registered factories or generate a factory dynamically.
@@ -628,6 +663,67 @@ def get_field_value(  # noqa: C901, PLR0911, PLR0912
             msg,
         )
 
+    @classmethod
+    def get_field_value_coverage(  # noqa: C901
+        cls,
+        field_meta: FieldMeta,
+        field_build_parameters: Any | None = None,
+    ) -> abc.Iterable[Any]:
+        """Return a field value on the subclass if existing, otherwise returns a mock value.
+
+        :param field_meta: FieldMeta instance.
+        :param field_build_parameters: Any build parameters passed to the factory as kwarg values.
+
+        :returns: An iterable of values.
+
+        """
+        if cls.is_ignored_type(field_meta.annotation):
+            return [None]
+
+        for unwrapped_annotation in flatten_annotation(field_meta.annotation):
+            if unwrapped_annotation in (None, NoneType):
+                yield None
+
+            elif is_literal(annotation=unwrapped_annotation) and (literal_args := get_args(unwrapped_annotation)):
+                yield CoverageContainer(literal_args)
+
+            elif isinstance(unwrapped_annotation, EnumMeta):
+                yield CoverageContainer(list(unwrapped_annotation))
+
+            elif field_meta.constraints:
+                yield CoverageContainerCallable(
+                    cls.get_constrained_field_value,
+                    annotation=unwrapped_annotation,
+                    field_meta=field_meta,
+                )
+
+            elif BaseFactory.is_factory_type(annotation=unwrapped_annotation):
+                yield CoverageContainer(
+                    cls._get_or_create_factory(model=unwrapped_annotation).coverage(
+                        **(field_build_parameters if isinstance(field_build_parameters, Mapping) else {}),
+                    ),
+                )
+
+            elif (origin := get_type_origin(unwrapped_annotation)) and issubclass(origin, Collection):
+                yield handle_collection_type_coverage(field_meta, origin, cls)
+
+            elif is_any(unwrapped_annotation) or isinstance(unwrapped_annotation, TypeVar):
+                yield create_random_string(cls.__random__, min_length=1, max_length=10)
+
+            elif provider := cls.get_provider_map().get(unwrapped_annotation):
+                yield CoverageContainerCallable(provider)
+
+            elif callable(unwrapped_annotation):
+                # if value is a callable we can try to naively call it.
+                # this will work for callables that do not require any parameters passed
+                with suppress(Exception):
+                    yield CoverageContainerCallable(unwrapped_annotation)
+            else:
+                msg = f"Unsupported type: {unwrapped_annotation!r}\n\nEither extend the providers map or add a factory function for this type."
+                raise ParameterException(
+                    msg,
+                )
+
     @classmethod
     def should_set_none_value(cls, field_meta: FieldMeta) -> bool:
         """Determine whether a given model field_meta should be set to None.
@@ -745,6 +841,50 @@ def process_kwargs(cls, **kwargs: Any) -> dict[str, Any]:
 
         return result
 
+    @classmethod
+    def process_kwargs_coverage(cls, **kwargs: Any) -> abc.Iterable[dict[str, Any]]:
+        """Process the given kwargs and generate values for the factory's model.
+
+        :param kwargs: Any build kwargs.
+
+        :returns: A dictionary of build results.
+
+        """
+        result: dict[str, Any] = {**kwargs}
+        generate_post: dict[str, PostGenerated] = {}
+
+        for field_meta in cls.get_model_fields():
+            field_build_parameters = cls.extract_field_build_parameters(field_meta=field_meta, build_args=kwargs)
+
+            if cls.should_set_field_value(field_meta, **kwargs):
+                if hasattr(cls, field_meta.name) and not hasattr(BaseFactory, field_meta.name):
+                    field_value = getattr(cls, field_meta.name)
+                    if isinstance(field_value, Ignore):
+                        continue
+
+                    if isinstance(field_value, Require) and field_meta.name not in kwargs:
+                        msg = f"Require kwarg {field_meta.name} is missing"
+                        raise MissingBuildKwargException(msg)
+
+                    if isinstance(field_value, PostGenerated):
+                        generate_post[field_meta.name] = field_value
+                        continue
+
+                    result[field_meta.name] = cls._handle_factory_field_coverage(
+                        field_value=field_value,
+                        field_build_parameters=field_build_parameters,
+                    )
+                    continue
+
+                result[field_meta.name] = CoverageContainer(
+                    cls.get_field_value_coverage(field_meta, field_build_parameters=field_build_parameters),
+                )
+
+        for resolved in resolve_kwargs_coverage(result):
+            for field_name, post_generator in generate_post.items():
+                resolved[field_name] = post_generator.to_value(field_name, resolved)
+            yield resolved
+
     @classmethod
     def build(cls, **kwargs: Any) -> T:
         """Build an instance of the factory's __model__
@@ -769,6 +909,19 @@ def batch(cls, size: int, **kwargs: Any) -> list[T]:
         """
         return [cls.build(**kwargs) for _ in range(size)]
 
+    @classmethod
+    def coverage(cls, **kwargs: Any) -> abc.Iterator[T]:
+        """Build a batch of the factory's Meta.model will full coverage of the sub-types of the model.
+
+        :param kwargs: Any kwargs. If field_meta names are set in kwargs, their values will be used.
+
+        :returns: A iterator of instances of type T.
+
+        """
+        for data in cls.process_kwargs_coverage(**kwargs):
+            instance = cls.__model__(**data)
+            yield cast("T", instance)
+
     @classmethod
     def create_sync(cls, **kwargs: Any) -> T:
         """Build and persists synchronously a single model instance.

polyfactory/utils/helpers.py

@@ -3,6 +3,11 @@
 import sys
 from typing import TYPE_CHECKING, Any, Mapping
 
+try:
+    from types import NoneType
+except ImportError:
+    NoneType = type(None)  # type: ignore[misc,assignment]
+
 from typing_extensions import get_args, get_origin
 
 from polyfactory.constants import TYPE_MAPPING
@@ -52,7 +57,7 @@ def unwrap_optional(annotation: Any) -> Any:
     :returns: A type annotation
     """
     while is_optional(annotation):
-        annotation = next(arg for arg in get_args(annotation) if arg not in (type(None), None))
+        annotation = next(arg for arg in get_args(annotation) if arg not in (NoneType, None))
     return annotation
 
 
@@ -77,6 +82,28 @@ def unwrap_annotation(annotation: Any, random: Random) -> Any:
     return annotation
 
 
+def flatten_annotation(annotation: Any) -> list[Any]:
+    """Flattens an annotation.
+    :param annotation: A type annotation.
+    :returns: The flattened annotations.
+    """
+    flat = []
+    if is_new_type(annotation):
+        flat.extend(flatten_annotation(unwrap_new_type(annotation)))
+    elif is_optional(annotation):
+        flat.append(NoneType)
+        flat.extend(flatten_annotation(next(arg for arg in get_args(annotation) if arg not in (NoneType, None))))
+    elif is_annotated(annotation):
+        flat.extend(flatten_annotation(get_args(annotation)[0]))
+    elif is_union(annotation):
+        for a in get_args(annotation):
+            flat.extend(flatten_annotation(a))
+    else:
+        flat.append(annotation)
+
+    return flat
+
+
 def unwrap_args(annotation: Any, random: Random) -> tuple[Any, ...]:
     """Unwrap the annotation and return any type args.