domain_contexts_diagrams.py

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#!/usr/bin/env python

"""Make the diagrams of entities for each isshub domain contexts."""

import importlib
import inspect
import os.path
import pkgutil
import re
import sys
from enum import Enum
from types import ModuleType
from typing import (
    TYPE_CHECKING,
    Any,
    Dict,
    Iterable,
    List,
    Optional,
    Set,
    Tuple,
    Type,
    Union,
    get_type_hints,
)

import attr

from isshub.domain import contexts
from isshub.domain.utils.entity import BaseEntity
from isshub.domain.utils.repository import AbstractRepository


if TYPE_CHECKING:
    from attr import _Fields  # pylint: disable=no-name-in-module

    try:
        from typing import get_args, get_origin  # type: ignore
    except ImportError:
        # pylint: disable=C,W
        # this happen in my python 3.8 virtualenv: it shouldn't but can't figure out the problem
        def get_args(tp: Any) -> Any:  # noqa
            return getattr(tp, "__args__", ())

        def get_origin(tp: Any) -> Any:  # noqa
            return getattr(tp, "__origin__", None)


else:
    from typing import get_args, get_origin


def import_submodules(
    package: Union[str, ModuleType], skip_names: Optional[List[str]] = None
) -> Dict[str, ModuleType]:
    """Import all submodules of a module, recursively, including subpackages.

    Parameters
    ----------
    package : Union[str, ModuleType]
        The package to import recursively
    skip_names : Optional[List[str]]
        A list of names of packages to ignore. For example ``['tests']`` to ignore packages
        named "tests" (and subpackages)

    Returns
    -------
    Dict[str, ModuleType]
        Dict containing all imported packages
    """
    if skip_names is None:
        skip_names = []
    if isinstance(package, str):
        package = importlib.import_module(package)
    results = {}
    for __, name, is_package in pkgutil.walk_packages(
        path=package.__path__, prefix=package.__name__ + "."  # type: ignore
    ):
        if any(
            name.endswith(f".{skip_name}") or f".{skip_name}." in name
            for skip_name in skip_names
        ):
            continue
        results[name] = importlib.import_module(name)
        if is_package:
            results.update(import_submodules(name, skip_names=skip_names))
    return results


def get_python_path(klass: Type) -> str:
    """Get the full python path of a class.

    Parameters
    ----------
    klass: type
        The class for which we want the python path

    Returns
    -------
    str
        The python path of the class, like "path.to.module.class"

    """
    return f"{klass.__module__}.{klass.__name__}"


def get_dot_identifier(name: str) -> str:
    """Convert a string to be ready to be used as an identifier in a .dot file.

    It actually only handles "python paths", ie the only thing to be replaced is the dot character.

    We replace theses dots by three underscores.

    Parameters
    ----------
    name : str
       The string to convert

    Returns
    -------
    str
       The converted string ready to be used as a dot identifier

    """
    return name.replace(".", "___")


def get_final_subclasses(klass: Type) -> Dict[str, Type]:
    """Get all the subclasses of `klass` that don't have subclasses.

    Parameters
    ----------
    klass : Type
        The subclasses to analyze

    Returns
    -------
    Dict[str, Type]
        A dict with one entry for each "final subclass", with the python paths as keys and the class
        themselves as values.

    """
    if not klass.__subclasses__():
        return {get_python_path(klass): klass}
    result = {}
    for subclass in klass.__subclasses__():
        result.update(get_final_subclasses(subclass))
    return result


NoneType = type(None)
AlignLeft = chr(92) + "l"  # "\l"


def filter_classes_from_module(
    classes: Dict[str, Type], module_name: str
) -> Dict[str, Type]:
    """Restrict the given classes to the one found in the given module.

    Parameters
    ----------
    classes : Dict[str, Type]
        A dict of classes from which to extract the ones to return. Full python path as keys, and
        the classes as values.
    module_name : str
        The python path of the module for which we want the classes

    Returns
    -------
    Dict[str, Type]
        The filtered `classes` (same format as the given `classes` argument)

    """
    prefix = f"{module_name}."
    return {
        class_name: klass
        for class_name, klass in classes.items()
        if class_name.startswith(prefix)
    }


def render_dot_file(output_path: str, name: str, content: str) -> None:
    """Save `content` of a dot file.

    Parameters
    ----------
    output_path : str
        The directory where to store the dot file
    name : str
        The base name (without extension) of the final file
    content : str
        The content to save in the dot file
    """
    dot_path = os.path.join(output_path, f"{name}.dot")
    print(f"Writing diagram {dot_path}")
    with open(dot_path, "w") as file_d:
        file_d.write(content)


def render_dot_record(identifier: str, title: str, lines: Iterable[str]) -> str:
    """Render a record in a dot file.

    Parameters
    ----------
    identifier : str
        The identifier of the record in the dot file
    title : str
        The title of the record. Will be centered.
    lines : Iterable[str]
        The lines of the record. Will be left aligned.

    Returns
    -------
    str
        The line representing the record for the dot file.

    """
    lines_parts = "|".join(f"{line} {AlignLeft}" for line in lines)
    return f'{identifier} [label="{title}|{lines_parts}"]'


def render_dot_link(source: str, dest: str, label: Optional[str]) -> str:
    """Render a link between a `source` and a `dest` in a dot file.

    Parameters
    ----------
    source : str
        The source of the link in the dot file
    dest : str
        The destination of the link in the dot file
    label : Optional[str]
        If set, will be the label of the link.

    Returns
    -------
    str
        The line representing the link for the dot file.

    """
    result = f"{source} -> {dest}"
    if label:
        result += f' [label="{label}"]'
    return result


def render_enum(enum: Type[Enum]) -> Tuple[str, str]:
    """Render the given `enum` to be incorporated in a dot file.

    Parameters
    ----------
    enum : Type[Enum]
        The enum to render

    Returns
    -------
    str
        The name of the enum as a dot identifier
    str
        The definition of the enum to represent it in the diagram

    """
    dot_name = get_dot_identifier(get_python_path(enum))
    return dot_name, render_dot_record(
        dot_name, f"<__class__> Enum: {enum.__name__}", (value.value for value in enum)
    )


def get_optional_type(type_: Any) -> Union[None, Any]:
    """Get the optional type defined in the given `type_`.

    Only works for one of these syntax:

      - ``Optional[TheType]``
      - ``Union[TheType, None'``

    Parameters
    ----------
    type_ : Any
        The type (from from a call to ``get_type_hints``) to analyse

    Returns
    -------
    Union[None, Any]
        Will be ``None`` if the `type_`

    """
    if get_origin(type_) is not Union:
        return None
    args = get_args(type_)
    if len(args) != 2:
        return None
    if NoneType not in args:
        return None
    return [arg for arg in args if arg is not NoneType][0]


def validate_entity(
    name: str,
    entity: Type[BaseEntity],
    context: str,
    linkable_entities: Dict[str, Type[BaseEntity]],
) -> Dict[str, Tuple[Any, bool]]:
    """Validate that we can handle the given entity and its fields.

    We only handle fields defined with a "type hint", restricted to:
    - the ones with a direct type
    - the ones defined as ``Optional`` (which is, in fact, a ``Union`` with the type and
      ``NoneType``)

    The direct type, if in the ``isshub`` namespace, must be in the given `context` (in the given
    `linkable_entities`.

    Parameters
    ----------
    name : str
        The name of the `entity`
    entity : Type[BaseEntity]
        The entity to validate
    context : str
        The name of the context, ie the name of the module containing the `entity` and the
        `linkable_entities`
    linkable_entities : Dict[str, Type[BaseEntity]]
        A dict containing all the entities the `entity` to validate can link to, with their full python
        path as keys, and the entities themselves as values

    Returns
    -------
    Dict[str, Tuple[Any, bool]]
        A dict with an entry for each field. Each field has its name as key, and, as value, a tuple
        with the final type and if the field is required or not.

    Raises
    ------
    NotImplementedError
        If the type is a ``Union`` of more than two types or with one not being ``NoneType``
    TypeError
        If the type is an object in the ``isshub`` namespace that is not in the given
        `linkable_entities` (except for enums, actually)

    """
    types = get_type_hints(entity)
    fields = {}
    for field_name, field_type in types.items():
        required = True

        if get_origin(field_type) is Union:
            args = get_args(field_type)
            if len(args) != 2:
                raise NotImplementedError(
                    f"{name}.{field_name} : {field_type}"
                    " - Union type with more that two choices is not implemented"
                )
            if NoneType not in args:
                raise NotImplementedError(
                    f"{name}.{field_name} : {field_type}"
                    " - Union type without None is not implemented"
                )
            required = False
            field_type = [arg for arg in args if arg is not NoneType][0]

        if field_type.__module__.startswith("isshub") and not issubclass(
            field_type, Enum
        ):
            if get_python_path(field_type) not in linkable_entities:
                raise TypeError(
                    f"{name}.{field_name} : {field_type}"
                    f" - It's not a valid entity in context {context}"
                )

        fields[field_name] = (field_type, required)

    return fields


def render_entity_link(
    source_name: str,
    field_name: str,
    dest_name: str,
    required: bool,
    attr_fields: "_Fields",
) -> str:
    """Render a link between the field of an entity to another class.

    Parameters
    ----------
    source_name : str
        The dot identifier of the source class. The source class is expected to be an entity class
    field_name : str
        The field in the source class that is linked to the dest class
    dest_name : str
        The dot identifier of the dest class.
    required : bool
        If the link is mandatory or optional
    attr_fields : NamedTuple
        A named tuple containing all fields as viewed by the ``attr`` module, to access the metadata
        of such fields, to get the ``relation_verbose_name`` metadata. Without such a medata, the
        link will be simply labelled "0..1" or "1" (depending on the `required` attribute), else
        this verbose name will be used.

    Returns
    -------
    str
        The string to be used in the dot file to represent the link.

    """
    try:
        link_label = (
            f'{getattr(attr_fields, field_name).metadata["relation_verbose_name"]}'
        )
    except Exception:  # pylint: disable=broad-except
        link_label = "(" + ("1" if required else "0..1") + ")"

    return render_dot_link(
        f"{source_name}:{field_name}", f"{dest_name}:__class__", link_label
    )


def render_entity(
    name: str,
    entity: Type[BaseEntity],
    context: str,
    linkable_entities: Dict[str, Type[BaseEntity]],
) -> Tuple[Dict[str, str], Set[str]]:
    """Render the given `entity` to be incorporated in a dot file, with links.

    Parameters
    ----------
    name : str
        The name of the `entity`
    entity : Type[BaseEntity]
        The entity to render
    context : str
        The name of the context, ie the name of the module containing the `entity` and the
        `linkable_entities`
    linkable_entities : Dict[str, Type[BaseEntity]]
        A dict containing all the entities the `entity` to validate can link to, with their full python
        path as keys, and the entities themselves as values

    Returns
    -------
    Dict[str, str]
        Lines representing the entities (or enums) to render in the graph.
        The keys are the dot identifier of the entity (or enum), and the values are the line to put
        in the dot file to render them.
        There is at least one entry, the rendered `entity`, but there can be more entries, if the
        `entity` is linked to some enums (we use a dict to let the caller to deduplicate enums with
        the same identifiers if called from many entities)
    Set[str]
        Lines representing the links between the `entity` and other entities or enums.

    """
    lines = {}
    links = set()

    dot_name = get_dot_identifier(name)
    attr_fields = attr.fields(entity)
    fields = {}

    for field_name, (field_type, required) in validate_entity(
        name, entity, context, linkable_entities
    ).items():

        link_to = None

        if issubclass(field_type, Enum):
            link_to, enum_line = render_enum(field_type)
            lines[link_to] = enum_line
        elif field_type.__module__.startswith("isshub"):
            link_to = get_dot_identifier(get_python_path(field_type))

        if link_to:
            links.add(
                render_entity_link(dot_name, field_name, link_to, required, attr_fields)
            )

        fields[field_name] = field_type.__name__
        if not required:
            fields[field_name] = f"{fields[field_name]} (optional)"

    lines[dot_name] = render_dot_record(
        dot_name,
        f"<__class__> Entity: {entity.__name__}",
        (f"<{f_name}> {f_name} : {f_type}" for f_name, f_type in fields.items()),
    )

    return lines, links


def make_domain_context_entities_diagram(
    context_name: str, subclasses: Dict[str, Type[BaseEntity]], output_path: str
) -> None:
    """Make the graph of entities in the given contexts.

    Parameters
    ----------
    context_name : str
        The name of the context, represented by the python path of its module
    subclasses : Dict[str, Type[BaseEntity]]
        All the subclasses of ``BaseEntity`` from which to extract the ones to render.
        Only subclasses present in the given context will be rendered.
    output_path : str
        The path where to save the generated graph

    """
    # restrict the subclasses of ``BaseEntity`` to the ones in the given module name
    context_subclasses = filter_classes_from_module(subclasses, context_name)

    # render entities and all links between them
    entity_lines, links = {}, set()
    for subclass_name, subclass in context_subclasses.items():
        subclass_lines, subclass_links = render_entity(
            subclass_name,
            subclass,
            context_name,
            context_subclasses,
        )
        entity_lines.update(subclass_lines)
        links.update(subclass_links)

    # compose the content of the dot file
    dot_file_content = (
        """\
digraph domain_context_entities {
  label = "Domain context entities [%s]"
  #labelloc = "t"
  rankdir=LR
  node[shape=record]
"""
        % context_name
    )
    for line in tuple(entity_lines.values()) + tuple(links):
        dot_file_content += f"  {line}\n"
    dot_file_content += "}"

    render_dot_file(output_path, f"{context_name}-entities", dot_file_content)


re_optional = re.compile(r"(?:typing\.)?Union\[(.*), NoneType]")
re_literal = re.compile(r"(?:typing\.)?Literal\[(.*?)]")


def render_repository(  # pylint: disable=too-many-locals
    name: str, repository: Type[AbstractRepository], context: str
) -> str:
    """Render the content of the dot file for the given `repository`.

    Parameters
    ----------
    name : str
        The name of the `repository`
    repository : Type[AbstractRepository]
        The repository to render
    context : str
        The name of the context  containing the `repository`

    Returns
    -------
    str
        The content of the dot file for the diagram of the given `repository`

    """
    members = {
        name: value
        for name, value in inspect.getmembers(repository)
        if not name.startswith("_")
    }
    methods = {
        name: value for name, value in members.items() if inspect.isfunction(value)
    }
    entity_class = members["entity_class"]

    re_context = re.compile(context + r".(?:\w+\.)*(\w+)")

    def optimize_annotation(type_: Any) -> str:  # pylint: disable=W
        if isinstance(type_, type):
            return type_.__name__
        result = str(type_)
        for regexp, replacement in (
            (re_context, r"\1"),
            (re_literal, r"\1"),
            (re_optional, r"Optional[\1]"),
        ):
            result = regexp.sub(replacement, result)
        return result.replace("~Entity", entity_class.__name__).replace("typing.", "")

    methods_lines = []
    for method_name, method in methods.items():
        signature = inspect.signature(method)
        params = []
        for param_name, param in signature.parameters.items():
            if param_name == "self":
                continue
            params.append(
                "".join(
                    (
                        param_name,
                        ""
                        if not param.annotation or param.annotation is param.empty
                        else ": %s" % optimize_annotation(param.annotation),
                        "" if param.default is param.empty else " = %s" % param.default,
                    )
                )
            )
        methods_lines.append(
            f"{method_name}(%s)%s"
            % (
                ", ".join(params),
                ""
                if not signature.return_annotation
                or signature.return_annotation is signature.empty
                else " → %s" % optimize_annotation(signature.return_annotation),
            )
        )

    return render_dot_record(
        get_dot_identifier(get_python_path(repository)),
        f"{repository.__name__} (for {entity_class.__name__} entity)",
        methods_lines,
    )


def make_domain_context_repositories_diagram(
    context_name: str, subclasses: Dict[str, Type[AbstractRepository]], output_path: str
) -> None:
    """Make the graph of entities in the given contexts.

    Parameters
    ----------
    context_name : str
        The name of the context, represented by the python path of its module
    subclasses : Dict[str, Type[AbstractRepository]]
        All the subclasses of ``AbstractRepository`` from which to extract the ones to render.
        Only subclasses present in the given context will be rendered.
    output_path : str
        The path where to save the generated graph

    """
    # restrict the subclasses of ``AbstractRepository`` to the ones in the given module name
    context_subclasses = filter_classes_from_module(subclasses, context_name)
    rendered_repositories = [
        render_repository(subclass_name, subclass, context_name)
        for subclass_name, subclass in context_subclasses.items()
    ]

    # compose the content of the dot file
    dot_file_content = (
        """\
digraph domain_context_repositories {
  label = "Domain context repositories [%s]"
  #labelloc = "t"
  rankdir=LR
  node[shape=record]
"""
        % context_name
    )
    for line in rendered_repositories:
        dot_file_content += f"  {line}\n"
    dot_file_content += "}"

    render_dot_file(output_path, f"{context_name}-repositories", dot_file_content)


def make_domain_contexts_diagrams(output_path: str) -> None:
    """Make the diagrams of entities for each domain contexts.

    Parameters
    ----------
    output_path : str
        The path where to save the generated diagrams

    """
    # we need to import all python files (except tests) to be sure we have access to all python code
    import_submodules(contexts, skip_names=["tests"])

    entities = get_final_subclasses(BaseEntity)
    repositories = get_final_subclasses(AbstractRepository)

    # we render each context independently, assuming that each one is directly at the root of
    # the ``contexts`` package
    for module in pkgutil.iter_modules(
        path=contexts.__path__, prefix=contexts.__name__ + "."  # type: ignore
    ):
        make_domain_context_entities_diagram(module.name, entities, output_path)
        make_domain_context_repositories_diagram(module.name, repositories, output_path)


if __name__ == "__main__":
    assert len(sys.argv) > 1 and sys.argv[1], "Missing output directory"
    make_domain_contexts_diagrams(sys.argv[1])

Changes

docs(domain): Add diagrams for repositories

Commit
Hash

34f4694cc9f5649a16e1952276eb5e26d4f84d00

Date

2020-10-07 12:10:48 +0200

Type

Modified

Stats

+296 -35

@@ -3,8 +3,10 @@
 """Make the diagrams of entities for each isshub domain contexts."""

 import importlib
+import inspect
 import os.path
 import pkgutil
+import re
 import sys
 from enum import Enum
 from types import ModuleType
@@ -12,6 +14,7 @@ from typing import (
     TYPE_CHECKING,
     Any,
     Dict,
+    Iterable,
     List,
     Optional,
     Set,
@@ -23,12 +26,28 @@ from typing import (

 import attr

+from isshub.domain import contexts
+from isshub.domain.utils.entity import BaseEntity
+from isshub.domain.utils.repository import AbstractRepository
+

 if TYPE_CHECKING:
     from attr import _Fields  # pylint: disable=no-name-in-module

-from isshub.domain import contexts
-from isshub.domain.utils.entity import BaseEntity
+    try:
+        from typing import get_args, get_origin  # type: ignore
+    except ImportError:
+        # pylint: disable=C,W
+        # this happen in my python 3.8 virtualenv: it shouldn't but can't figure out the problem
+        def get_args(tp: Any) -> Any:  # noqa
+            return getattr(tp, "__args__", ())
+
+        def get_origin(tp: Any) -> Any:  # noqa
+            return getattr(tp, "__origin__", None)
+
+
+else:
+    from typing import get_args, get_origin


 def import_submodules(
@@ -133,6 +152,97 @@ NoneType = type(None)
 AlignLeft = chr(92) + "l"  # "\l"


+def filter_classes_from_module(
+    classes: Dict[str, Type], module_name: str
+) -> Dict[str, Type]:
+    """Restrict the given classes to the one found in the given module.
+
+    Parameters
+    ----------
+    classes : Dict[str, Type]
+        A dict of classes from which to extract the ones to return. Full python path as keys, and
+        the classes as values.
+    module_name : str
+        The python path of the module for which we want the classes
+
+    Returns
+    -------
+    Dict[str, Type]
+        The filtered `classes` (same format as the given `classes` argument)
+
+    """
+    prefix = f"{module_name}."
+    return {
+        class_name: klass
+        for class_name, klass in classes.items()
+        if class_name.startswith(prefix)
+    }
+
+
+def render_dot_file(output_path: str, name: str, content: str) -> None:
+    """Save `content` of a dot file.
+
+    Parameters
+    ----------
+    output_path : str
+        The directory where to store the dot file
+    name : str
+        The base name (without extension) of the final file
+    content : str
+        The content to save in the dot file
+    """
+    dot_path = os.path.join(output_path, f"{name}.dot")
+    print(f"Writing diagram {dot_path}")
+    with open(dot_path, "w") as file_d:
+        file_d.write(content)
+
+
+def render_dot_record(identifier: str, title: str, lines: Iterable[str]) -> str:
+    """Render a record in a dot file.
+
+    Parameters
+    ----------
+    identifier : str
+        The identifier of the record in the dot file
+    title : str
+        The title of the record. Will be centered.
+    lines : Iterable[str]
+        The lines of the record. Will be left aligned.
+
+    Returns
+    -------
+    str
+        The line representing the record for the dot file.
+
+    """
+    lines_parts = "|".join(f"{line} {AlignLeft}" for line in lines)
+    return f'{identifier} [label="{title}|{lines_parts}"]'
+
+
+def render_dot_link(source: str, dest: str, label: Optional[str]) -> str:
+    """Render a link between a `source` and a `dest` in a dot file.
+
+    Parameters
+    ----------
+    source : str
+        The source of the link in the dot file
+    dest : str
+        The destination of the link in the dot file
+    label : Optional[str]
+        If set, will be the label of the link.
+
+    Returns
+    -------
+    str
+        The line representing the link for the dot file.
+
+    """
+    result = f"{source} -> {dest}"
+    if label:
+        result += f' [label="{label}"]'
+    return result
+
+
 def render_enum(enum: Type[Enum]) -> Tuple[str, str]:
     """Render the given `enum` to be incorporated in a dot file.

@@ -146,17 +256,44 @@ def render_enum(enum: Type[Enum]) -> Tuple[str, str]:
     str
         The name of the enum as a dot identifier
     str
-        The definition of the enum to represent it in the graph
+        The definition of the enum to represent it in the diagram

     """
     dot_name = get_dot_identifier(get_python_path(enum))
-    enum_parts = "|".join(f"{value.value} {AlignLeft}" for value in enum)
-    return (
-        dot_name,
-        f'{dot_name} [label="<__class__> Enum: {enum.__name__}|{enum_parts}"]',
+    return dot_name, render_dot_record(
+        dot_name, f"<__class__> Enum: {enum.__name__}", (value.value for value in enum)
     )


+def get_optional_type(type_: Any) -> Union[None, Any]:
+    """Get the optional type defined in the given `type_`.
+
+    Only works for one of these syntax:
+
+      - ``Optional[TheType]``
+      - ``Union[TheType, None'``
+
+    Parameters
+    ----------
+    type_ : Any
+        The type (from from a call to ``get_type_hints``) to analyse
+
+    Returns
+    -------
+    Union[None, Any]
+        Will be ``None`` if the `type_`
+
+    """
+    if get_origin(type_) is not Union:
+        return None
+    args = get_args(type_)
+    if len(args) != 2:
+        return None
+    if NoneType not in args:
+        return None
+    return [arg for arg in args if arg is not NoneType][0]
+
+
 def validate_entity(
     name: str,
     entity: Type[BaseEntity],
@@ -206,19 +343,20 @@ def validate_entity(
     for field_name, field_type in types.items():
         required = True

-        if getattr(field_type, "__origin__", None) is Union:
-            if len(field_type.__args__) != 2:
+        if get_origin(field_type) is Union:
+            args = get_args(field_type)
+            if len(args) != 2:
                 raise NotImplementedError(
                     f"{name}.{field_name} : {field_type}"
                     " - Union type with more that two choices is not implemented"
                 )
-            if NoneType not in field_type.__args__:
+            if NoneType not in args:
                 raise NotImplementedError(
                     f"{name}.{field_name} : {field_type}"
                     " - Union type without None is not implemented"
                 )
             required = False
-            field_type = [arg for arg in field_type.__args__ if arg is not NoneType][0]
+            field_type = [arg for arg in args if arg is not NoneType][0]

         if field_type.__module__.startswith("isshub") and not issubclass(
             field_type, Enum
@@ -234,7 +372,7 @@ def validate_entity(
     return fields


-def render_link(
+def render_entity_link(
     source_name: str,
     field_name: str,
     dest_name: str,
@@ -272,7 +410,9 @@ def render_link(
     except Exception:  # pylint: disable=broad-except
         link_label = "(" + ("1" if required else "0..1") + ")"

-    return f'{source_name}:{field_name} -> {dest_name}:__class__ [label="{link_label}"]'
+    return render_dot_link(
+        f"{source_name}:{field_name}", f"{dest_name}:__class__", link_label
+    )


 def render_entity(
@@ -329,24 +469,24 @@ def render_entity(
             link_to = get_dot_identifier(get_python_path(field_type))

         if link_to:
-            links.add(render_link(dot_name, field_name, link_to, required, attr_fields))
+            links.add(
+                render_entity_link(dot_name, field_name, link_to, required, attr_fields)
+            )

         fields[field_name] = field_type.__name__
         if not required:
             fields[field_name] = f"{fields[field_name]} (optional)"

-    fields_parts = "|".join(
-        f"<{f_name}> {f_name} : {f_type} {AlignLeft}"
-        for f_name, f_type in fields.items()
+    lines[dot_name] = render_dot_record(
+        dot_name,
+        f"<__class__> Entity: {entity.__name__}",
+        (f"<{f_name}> {f_name} : {f_type}" for f_name, f_type in fields.items()),
     )
-    lines[
-        dot_name
-    ] = f'{dot_name} [label="<__class__> Entity: {entity.__name__}|{fields_parts}"]'

     return lines, links


-def make_domain_context_graph(
+def make_domain_context_entities_diagram(
     context_name: str, subclasses: Dict[str, Type[BaseEntity]], output_path: str
 ) -> None:
     """Make the graph of entities in the given contexts.
@@ -356,18 +496,14 @@ def make_domain_context_graph(
     context_name : str
         The name of the context, represented by the python path of its module
     subclasses : Dict[str, Type[BaseEntity]]
-        All the subclasses of ``BaseEntity`` from which to extract the modules to render.
+        All the subclasses of ``BaseEntity`` from which to extract the ones to render.
         Only subclasses present in the given context will be rendered.
     output_path : str
         The path where to save the generated graph

     """
     # restrict the subclasses of ``BaseEntity`` to the ones in the given module name
-    context_subclasses = {
-        subclass_name: subclass
-        for subclass_name, subclass in subclasses.items()
-        if subclass_name.startswith(context_name + ".")
-    }
+    context_subclasses = filter_classes_from_module(subclasses, context_name)

     # render entities and all links between them
     entity_lines, links = {}, set()
@@ -385,7 +521,7 @@ def make_domain_context_graph(
     dot_file_content = (
         """\
 digraph domain_context_entities {
-  label = "Domain context [%s]"
+  label = "Domain context entities [%s]"
   #labelloc = "t"
   rankdir=LR
   node[shape=record]
@@ -396,10 +532,132 @@ digraph domain_context_entities {
         dot_file_content += f"  {line}\n"
     dot_file_content += "}"

-    dot_path = os.path.join(output_path, f"{context_name}-entities.dot")
-    print(f"Writing graph for domain context {context_name} in {dot_path}")
-    with open(dot_path, "w") as file_d:
-        file_d.write(dot_file_content)
+    render_dot_file(output_path, f"{context_name}-entities", dot_file_content)
+
+
+re_optional = re.compile(r"(?:typing\.)?Union\[(.*), NoneType]")
+re_literal = re.compile(r"(?:typing\.)?Literal\[(.*?)]")
+
+
+def render_repository(  # pylint: disable=too-many-locals
+    name: str, repository: Type[AbstractRepository], context: str
+) -> str:
+    """Render the content of the dot file for the given `repository`.
+
+    Parameters
+    ----------
+    name : str
+        The name of the `repository`
+    repository : Type[AbstractRepository]
+        The repository to render
+    context : str
+        The name of the context  containing the `repository`
+
+    Returns
+    -------
+    str
+        The content of the dot file for the diagram of the given `repository`
+
+    """
+    members = {
+        name: value
+        for name, value in inspect.getmembers(repository)
+        if not name.startswith("_")
+    }
+    methods = {
+        name: value for name, value in members.items() if inspect.isfunction(value)
+    }
+    entity_class = members["entity_class"]
+
+    re_context = re.compile(context + r".(?:\w+\.)*(\w+)")
+
+    def optimize_annotation(type_: Any) -> str:  # pylint: disable=W
+        if isinstance(type_, type):
+            return type_.__name__
+        result = str(type_)
+        for regexp, replacement in (
+            (re_context, r"\1"),
+            (re_literal, r"\1"),
+            (re_optional, r"Optional[\1]"),
+        ):
+            result = regexp.sub(replacement, result)
+        return result.replace("~Entity", entity_class.__name__).replace("typing.", "")
+
+    methods_lines = []
+    for method_name, method in methods.items():
+        signature = inspect.signature(method)
+        params = []
+        for param_name, param in signature.parameters.items():
+            if param_name == "self":
+                continue
+            params.append(
+                "".join(
+                    (
+                        param_name,
+                        ""
+                        if not param.annotation or param.annotation is param.empty
+                        else ": %s" % optimize_annotation(param.annotation),
+                        "" if param.default is param.empty else " = %s" % param.default,
+                    )
+                )
+            )
+        methods_lines.append(
+            f"{method_name}(%s)%s"
+            % (
+                ", ".join(params),
+                ""
+                if not signature.return_annotation
+                or signature.return_annotation is signature.empty
+                else " → %s" % optimize_annotation(signature.return_annotation),
+            )
+        )
+
+    return render_dot_record(
+        get_dot_identifier(get_python_path(repository)),
+        f"{repository.__name__} (for {entity_class.__name__} entity)",
+        methods_lines,
+    )
+
+
+def make_domain_context_repositories_diagram(
+    context_name: str, subclasses: Dict[str, Type[AbstractRepository]], output_path: str
+) -> None:
+    """Make the graph of entities in the given contexts.
+
+    Parameters
+    ----------
+    context_name : str
+        The name of the context, represented by the python path of its module
+    subclasses : Dict[str, Type[AbstractRepository]]
+        All the subclasses of ``AbstractRepository`` from which to extract the ones to render.
+        Only subclasses present in the given context will be rendered.
+    output_path : str
+        The path where to save the generated graph
+
+    """
+    # restrict the subclasses of ``AbstractRepository`` to the ones in the given module name
+    context_subclasses = filter_classes_from_module(subclasses, context_name)
+    rendered_repositories = [
+        render_repository(subclass_name, subclass, context_name)
+        for subclass_name, subclass in context_subclasses.items()
+    ]
+
+    # compose the content of the dot file
+    dot_file_content = (
+        """\
+digraph domain_context_repositories {
+  label = "Domain context repositories [%s]"
+  #labelloc = "t"
+  rankdir=LR
+  node[shape=record]
+"""
+        % context_name
+    )
+    for line in rendered_repositories:
+        dot_file_content += f"  {line}\n"
+    dot_file_content += "}"
+
+    render_dot_file(output_path, f"{context_name}-repositories", dot_file_content)


 def make_domain_contexts_diagrams(output_path: str) -> None:
@@ -411,16 +669,19 @@ def make_domain_contexts_diagrams(output_path: str) -> None:
         The path where to save the generated diagrams

     """
-    # we need to import all python files (except tests) to find all subclasses of ``BaseEntity``
+    # we need to import all python files (except tests) to be sure we have access to all python code
     import_submodules(contexts, skip_names=["tests"])
-    subclasses = get_final_subclasses(BaseEntity)
+
+    entities = get_final_subclasses(BaseEntity)
+    repositories = get_final_subclasses(AbstractRepository)

     # we render each context independently, assuming that each one is directly at the root of
     # the ``contexts`` package
     for module in pkgutil.iter_modules(
         path=contexts.__path__, prefix=contexts.__name__ + "."  # type: ignore
     ):
-        make_domain_context_graph(module.name, subclasses, output_path)
+        make_domain_context_entities_diagram(module.name, entities, output_path)
+        make_domain_context_repositories_diagram(module.name, repositories, output_path)


 if __name__ == "__main__":

style(entity): Change the world “model” by “entity”

Commit
Hash

c2dd0fc606636dd72c1b55d30095bbeb622b788d

Date

2020-10-04 21:07:00 +0200

Type

Modified

Stats

+57 -57

@@ -1,6 +1,6 @@
 #!/usr/bin/env python

-"""Make the diagrams of models for each isshub domain contexts."""
+"""Make the diagrams of entities for each isshub domain contexts."""

 import importlib
 import os.path
@@ -28,7 +28,7 @@ if TYPE_CHECKING:
     from attr import _Fields  # pylint: disable=no-name-in-module

 from isshub.domain import contexts
-from isshub.domain.utils.entity import BaseModel
+from isshub.domain.utils.entity import BaseEntity


 def import_submodules(
@@ -157,13 +157,13 @@ def render_enum(enum: Type[Enum]) -> Tuple[str, str]:
     )


-def validate_model(
+def validate_entity(
     name: str,
-    model: Type[BaseModel],
+    entity: Type[BaseEntity],
     context: str,
-    linkable_models: Dict[str, Type[BaseModel]],
+    linkable_entities: Dict[str, Type[BaseEntity]],
 ) -> Dict[str, Tuple[Any, bool]]:
-    """Validate that we can handle the given model and its fields.
+    """Validate that we can handle the given entity and its fields.

     We only handle fields defined with a "type hint", restricted to:
     - the ones with a direct type
@@ -171,20 +171,20 @@ def validate_model(
       ``NoneType``)

     The direct type, if in the ``isshub`` namespace, must be in the given `context` (in the given
-    `linkable_models`.
+    `linkable_entities`.

     Parameters
     ----------
     name : str
-        The name of the `model`
-    model : Type[BaseModel]
-        The model to validate
+        The name of the `entity`
+    entity : Type[BaseEntity]
+        The entity to validate
     context : str
-        The name of the context, ie the name of the module containing the `model` and the
-        `linkable_models`
-    linkable_models : Dict[str, Type[BaseModel]]
-        A dict containing all the models the `model` to validate can link to, with their full python
-        path as keys, and the models themselves as values
+        The name of the context, ie the name of the module containing the `entity` and the
+        `linkable_entities`
+    linkable_entities : Dict[str, Type[BaseEntity]]
+        A dict containing all the entities the `entity` to validate can link to, with their full python
+        path as keys, and the entities themselves as values

     Returns
     -------
@@ -198,10 +198,10 @@ def validate_model(
         If the type is a ``Union`` of more than two types or with one not being ``NoneType``
     TypeError
         If the type is an object in the ``isshub`` namespace that is not in the given
-        `linkable_models` (except for enums, actually)
+        `linkable_entities` (except for enums, actually)

     """
-    types = get_type_hints(model)
+    types = get_type_hints(entity)
     fields = {}
     for field_name, field_type in types.items():
         required = True
@@ -223,10 +223,10 @@ def validate_model(
         if field_type.__module__.startswith("isshub") and not issubclass(
             field_type, Enum
         ):
-            if get_python_path(field_type) not in linkable_models:
+            if get_python_path(field_type) not in linkable_entities:
                 raise TypeError(
                     f"{name}.{field_name} : {field_type}"
-                    f" - It's not a valid model in context {context}"
+                    f" - It's not a valid entity in context {context}"
                 )

         fields[field_name] = (field_type, required)
@@ -241,12 +241,12 @@ def render_link(
     required: bool,
     attr_fields: "_Fields",
 ) -> str:
-    """Render a link between the field of a model to another class.
+    """Render a link between the field of an entity to another class.

     Parameters
     ----------
     source_name : str
-        The dot identifier of the source class. The source class is expected to be a entity model
+        The dot identifier of the source class. The source class is expected to be an entity class
     field_name : str
         The field in the source class that is linked to the dest class
     dest_name : str
@@ -275,49 +275,49 @@ def render_link(
     return f'{source_name}:{field_name} -> {dest_name}:__class__ [label="{link_label}"]'


-def render_model(
+def render_entity(
     name: str,
-    model: Type[BaseModel],
+    entity: Type[BaseEntity],
     context: str,
-    linkable_models: Dict[str, Type[BaseModel]],
+    linkable_entities: Dict[str, Type[BaseEntity]],
 ) -> Tuple[Dict[str, str], Set[str]]:
-    """Render the given `model` to be incorporated in a dot file, with links.
+    """Render the given `entity` to be incorporated in a dot file, with links.

     Parameters
     ----------
     name : str
-        The name of the `model`
-    model : Type[BaseModel]
-        The model to render
+        The name of the `entity`
+    entity : Type[BaseEntity]
+        The entity to render
     context : str
-        The name of the context, ie the name of the module containing the `model` and the
-        `linkable_models`
-    linkable_models : Dict[str, Type[BaseModel]]
-        A dict containing all the models the `model` to validate can link to, with their full python
-        path as keys, and the models themselves as values
+        The name of the context, ie the name of the module containing the `entity` and the
+        `linkable_entities`
+    linkable_entities : Dict[str, Type[BaseEntity]]
+        A dict containing all the entities the `entity` to validate can link to, with their full python
+        path as keys, and the entities themselves as values

     Returns
     -------
     Dict[str, str]
-        Lines representing the models (or enums) to render in the graph.
-        The keys are the dot identifier of the model (or enum), and the values are the line to put
+        Lines representing the entities (or enums) to render in the graph.
+        The keys are the dot identifier of the entity (or enum), and the values are the line to put
         in the dot file to render them.
-        There is at least one entry, the rendered `model`, but there can be more entries, if the
-        `model` is linked to some enums (we use a dict to let the caller to deduplicate enums with
-        the same identifiers if called from many models)
+        There is at least one entry, the rendered `entity`, but there can be more entries, if the
+        `entity` is linked to some enums (we use a dict to let the caller to deduplicate enums with
+        the same identifiers if called from many entities)
     Set[str]
-        Lines representing the links between the `model` and other models or enums.
+        Lines representing the links between the `entity` and other entities or enums.

     """
     lines = {}
     links = set()

     dot_name = get_dot_identifier(name)
-    attr_fields = attr.fields(model)
+    attr_fields = attr.fields(entity)
     fields = {}

-    for field_name, (field_type, required) in validate_model(
-        name, model, context, linkable_models
+    for field_name, (field_type, required) in validate_entity(
+        name, entity, context, linkable_entities
     ).items():

         link_to = None
@@ -341,50 +341,50 @@ def render_model(
     )
     lines[
         dot_name
-    ] = f'{dot_name} [label="<__class__> Model: {model.__name__}|{fields_parts}"]'
+    ] = f'{dot_name} [label="<__class__> Entity: {entity.__name__}|{fields_parts}"]'

     return lines, links


 def make_domain_context_graph(
-    context_name: str, subclasses: Dict[str, Type[BaseModel]], output_path: str
+    context_name: str, subclasses: Dict[str, Type[BaseEntity]], output_path: str
 ) -> None:
-    """Make the graph of models in the given contexts.
+    """Make the graph of entities in the given contexts.

     Parameters
     ----------
     context_name : str
         The name of the context, represented by the python path of its module
-    subclasses : Dict[str, Type[BaseModel]]
-        All the subclasses of ``BaseModel`` from which to extract the modules to render.
+    subclasses : Dict[str, Type[BaseEntity]]
+        All the subclasses of ``BaseEntity`` from which to extract the modules to render.
         Only subclasses present in the given context will be rendered.
     output_path : str
         The path where to save the generated graph

     """
-    # restrict the subclasses of ``BaseModel`` to the ones in the given module name
+    # restrict the subclasses of ``BaseEntity`` to the ones in the given module name
     context_subclasses = {
         subclass_name: subclass
         for subclass_name, subclass in subclasses.items()
         if subclass_name.startswith(context_name + ".")
     }

-    # render models and all links between them
-    model_lines, links = {}, set()
+    # render entities and all links between them
+    entity_lines, links = {}, set()
     for subclass_name, subclass in context_subclasses.items():
-        subclass_lines, subclass_links = render_model(
+        subclass_lines, subclass_links = render_entity(
             subclass_name,
             subclass,
             context_name,
             context_subclasses,
         )
-        model_lines.update(subclass_lines)
+        entity_lines.update(subclass_lines)
         links.update(subclass_links)

     # compose the content of the dot file
     dot_file_content = (
         """\
-digraph domain_context_models {
+digraph domain_context_entities {
   label = "Domain context [%s]"
   #labelloc = "t"
   rankdir=LR
@@ -392,7 +392,7 @@ digraph domain_context_models {
 """
         % context_name
     )
-    for line in tuple(model_lines.values()) + tuple(links):
+    for line in tuple(entity_lines.values()) + tuple(links):
         dot_file_content += f"  {line}\n"
     dot_file_content += "}"

@@ -403,7 +403,7 @@ digraph domain_context_models {


 def make_domain_contexts_diagrams(output_path: str) -> None:
-    """Make the diagrams of models for each domain contexts.
+    """Make the diagrams of entities for each domain contexts.

     Parameters
     ----------
@@ -411,9 +411,9 @@ def make_domain_contexts_diagrams(output_path: str) -> None:
         The path where to save the generated diagrams

     """
-    # we need to import all python files (except tests) to find all submodels of ``BaseModel``
+    # we need to import all python files (except tests) to find all subclasses of ``BaseEntity``
     import_submodules(contexts, skip_names=["tests"])
-    subclasses = get_final_subclasses(BaseModel)
+    subclasses = get_final_subclasses(BaseEntity)

     # we render each context independently, assuming that each one is directly at the root of
     # the ``contexts`` package

docs(domain): Add diagram of entities for each domain context

Commit
Hash

bb5e73eb3d816d563f2a58fe65c6bd57b045dbde

Date

2020-10-04 11:50:37 +0200

Type

Added

Stats

+428 -0

@@ -0,0 +1,428 @@
+#!/usr/bin/env python
+
+"""Make the diagrams of models for each isshub domain contexts."""
+
+import importlib
+import os.path
+import pkgutil
+import sys
+from enum import Enum
+from types import ModuleType
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Tuple,
+    Type,
+    Union,
+    get_type_hints,
+)
+
+import attr
+
+
+if TYPE_CHECKING:
+    from attr import _Fields  # pylint: disable=no-name-in-module
+
+from isshub.domain import contexts
+from isshub.domain.utils.entity import BaseModel
+
+
+def import_submodules(
+    package: Union[str, ModuleType], skip_names: Optional[List[str]] = None
+) -> Dict[str, ModuleType]:
+    """Import all submodules of a module, recursively, including subpackages.
+
+    Parameters
+    ----------
+    package : Union[str, ModuleType]
+        The package to import recursively
+    skip_names : Optional[List[str]]
+        A list of names of packages to ignore. For example ``['tests']`` to ignore packages
+        named "tests" (and subpackages)
+
+    Returns
+    -------
+    Dict[str, ModuleType]
+        Dict containing all imported packages
+    """
+    if skip_names is None:
+        skip_names = []
+    if isinstance(package, str):
+        package = importlib.import_module(package)
+    results = {}
+    for __, name, is_package in pkgutil.walk_packages(
+        path=package.__path__, prefix=package.__name__ + "."  # type: ignore
+    ):
+        if any(
+            name.endswith(f".{skip_name}") or f".{skip_name}." in name
+            for skip_name in skip_names
+        ):
+            continue
+        results[name] = importlib.import_module(name)
+        if is_package:
+            results.update(import_submodules(name, skip_names=skip_names))
+    return results
+
+
+def get_python_path(klass: Type) -> str:
+    """Get the full python path of a class.
+
+    Parameters
+    ----------
+    klass: type
+        The class for which we want the python path
+
+    Returns
+    -------
+    str
+        The python path of the class, like "path.to.module.class"
+
+    """
+    return f"{klass.__module__}.{klass.__name__}"
+
+
+def get_dot_identifier(name: str) -> str:
+    """Convert a string to be ready to be used as an identifier in a .dot file.
+
+    It actually only handles "python paths", ie the only thing to be replaced is the dot character.
+
+    We replace theses dots by three underscores.
+
+    Parameters
+    ----------
+    name : str
+       The string to convert
+
+    Returns
+    -------
+    str
+       The converted string ready to be used as a dot identifier
+
+    """
+    return name.replace(".", "___")
+
+
+def get_final_subclasses(klass: Type) -> Dict[str, Type]:
+    """Get all the subclasses of `klass` that don't have subclasses.
+
+    Parameters
+    ----------
+    klass : Type
+        The subclasses to analyze
+
+    Returns
+    -------
+    Dict[str, Type]
+        A dict with one entry for each "final subclass", with the python paths as keys and the class
+        themselves as values.
+
+    """
+    if not klass.__subclasses__():
+        return {get_python_path(klass): klass}
+    result = {}
+    for subclass in klass.__subclasses__():
+        result.update(get_final_subclasses(subclass))
+    return result
+
+
+NoneType = type(None)
+AlignLeft = chr(92) + "l"  # "\l"
+
+
+def render_enum(enum: Type[Enum]) -> Tuple[str, str]:
+    """Render the given `enum` to be incorporated in a dot file.
+
+    Parameters
+    ----------
+    enum : Type[Enum]
+        The enum to render
+
+    Returns
+    -------
+    str
+        The name of the enum as a dot identifier
+    str
+        The definition of the enum to represent it in the graph
+
+    """
+    dot_name = get_dot_identifier(get_python_path(enum))
+    enum_parts = "|".join(f"{value.value} {AlignLeft}" for value in enum)
+    return (
+        dot_name,
+        f'{dot_name} [label="<__class__> Enum: {enum.__name__}|{enum_parts}"]',
+    )
+
+
+def validate_model(
+    name: str,
+    model: Type[BaseModel],
+    context: str,
+    linkable_models: Dict[str, Type[BaseModel]],
+) -> Dict[str, Tuple[Any, bool]]:
+    """Validate that we can handle the given model and its fields.
+
+    We only handle fields defined with a "type hint", restricted to:
+    - the ones with a direct type
+    - the ones defined as ``Optional`` (which is, in fact, a ``Union`` with the type and
+      ``NoneType``)
+
+    The direct type, if in the ``isshub`` namespace, must be in the given `context` (in the given
+    `linkable_models`.
+
+    Parameters
+    ----------
+    name : str
+        The name of the `model`
+    model : Type[BaseModel]
+        The model to validate
+    context : str
+        The name of the context, ie the name of the module containing the `model` and the
+        `linkable_models`
+    linkable_models : Dict[str, Type[BaseModel]]
+        A dict containing all the models the `model` to validate can link to, with their full python
+        path as keys, and the models themselves as values
+
+    Returns
+    -------
+    Dict[str, Tuple[Any, bool]]
+        A dict with an entry for each field. Each field has its name as key, and, as value, a tuple
+        with the final type and if the field is required or not.
+
+    Raises
+    ------
+    NotImplementedError
+        If the type is a ``Union`` of more than two types or with one not being ``NoneType``
+    TypeError
+        If the type is an object in the ``isshub`` namespace that is not in the given
+        `linkable_models` (except for enums, actually)
+
+    """
+    types = get_type_hints(model)
+    fields = {}
+    for field_name, field_type in types.items():
+        required = True
+
+        if getattr(field_type, "__origin__", None) is Union:
+            if len(field_type.__args__) != 2:
+                raise NotImplementedError(
+                    f"{name}.{field_name} : {field_type}"
+                    " - Union type with more that two choices is not implemented"
+                )
+            if NoneType not in field_type.__args__:
+                raise NotImplementedError(
+                    f"{name}.{field_name} : {field_type}"
+                    " - Union type without None is not implemented"
+                )
+            required = False
+            field_type = [arg for arg in field_type.__args__ if arg is not NoneType][0]
+
+        if field_type.__module__.startswith("isshub") and not issubclass(
+            field_type, Enum
+        ):
+            if get_python_path(field_type) not in linkable_models:
+                raise TypeError(
+                    f"{name}.{field_name} : {field_type}"
+                    f" - It's not a valid model in context {context}"
+                )
+
+        fields[field_name] = (field_type, required)
+
+    return fields
+
+
+def render_link(
+    source_name: str,
+    field_name: str,
+    dest_name: str,
+    required: bool,
+    attr_fields: "_Fields",
+) -> str:
+    """Render a link between the field of a model to another class.
+
+    Parameters
+    ----------
+    source_name : str
+        The dot identifier of the source class. The source class is expected to be a entity model
+    field_name : str
+        The field in the source class that is linked to the dest class
+    dest_name : str
+        The dot identifier of the dest class.
+    required : bool
+        If the link is mandatory or optional
+    attr_fields : NamedTuple
+        A named tuple containing all fields as viewed by the ``attr`` module, to access the metadata
+        of such fields, to get the ``relation_verbose_name`` metadata. Without such a medata, the
+        link will be simply labelled "0..1" or "1" (depending on the `required` attribute), else
+        this verbose name will be used.
+
+    Returns
+    -------
+    str
+        The string to be used in the dot file to represent the link.
+
+    """
+    try:
+        link_label = (
+            f'{getattr(attr_fields, field_name).metadata["relation_verbose_name"]}'
+        )
+    except Exception:  # pylint: disable=broad-except
+        link_label = "(" + ("1" if required else "0..1") + ")"
+
+    return f'{source_name}:{field_name} -> {dest_name}:__class__ [label="{link_label}"]'
+
+
+def render_model(
+    name: str,
+    model: Type[BaseModel],
+    context: str,
+    linkable_models: Dict[str, Type[BaseModel]],
+) -> Tuple[Dict[str, str], Set[str]]:
+    """Render the given `model` to be incorporated in a dot file, with links.
+
+    Parameters
+    ----------
+    name : str
+        The name of the `model`
+    model : Type[BaseModel]
+        The model to render
+    context : str
+        The name of the context, ie the name of the module containing the `model` and the
+        `linkable_models`
+    linkable_models : Dict[str, Type[BaseModel]]
+        A dict containing all the models the `model` to validate can link to, with their full python
+        path as keys, and the models themselves as values
+
+    Returns
+    -------
+    Dict[str, str]
+        Lines representing the models (or enums) to render in the graph.
+        The keys are the dot identifier of the model (or enum), and the values are the line to put
+        in the dot file to render them.
+        There is at least one entry, the rendered `model`, but there can be more entries, if the
+        `model` is linked to some enums (we use a dict to let the caller to deduplicate enums with
+        the same identifiers if called from many models)
+    Set[str]
+        Lines representing the links between the `model` and other models or enums.
+
+    """
+    lines = {}
+    links = set()
+
+    dot_name = get_dot_identifier(name)
+    attr_fields = attr.fields(model)
+    fields = {}
+
+    for field_name, (field_type, required) in validate_model(
+        name, model, context, linkable_models
+    ).items():
+
+        link_to = None
+
+        if issubclass(field_type, Enum):
+            link_to, enum_line = render_enum(field_type)
+            lines[link_to] = enum_line
+        elif field_type.__module__.startswith("isshub"):
+            link_to = get_dot_identifier(get_python_path(field_type))
+
+        if link_to:
+            links.add(render_link(dot_name, field_name, link_to, required, attr_fields))
+
+        fields[field_name] = field_type.__name__
+        if not required:
+            fields[field_name] = f"{fields[field_name]} (optional)"
+
+    fields_parts = "|".join(
+        f"<{f_name}> {f_name} : {f_type} {AlignLeft}"
+        for f_name, f_type in fields.items()
+    )
+    lines[
+        dot_name
+    ] = f'{dot_name} [label="<__class__> Model: {model.__name__}|{fields_parts}"]'
+
+    return lines, links
+
+
+def make_domain_context_graph(
+    context_name: str, subclasses: Dict[str, Type[BaseModel]], output_path: str
+) -> None:
+    """Make the graph of models in the given contexts.
+
+    Parameters
+    ----------
+    context_name : str
+        The name of the context, represented by the python path of its module
+    subclasses : Dict[str, Type[BaseModel]]
+        All the subclasses of ``BaseModel`` from which to extract the modules to render.
+        Only subclasses present in the given context will be rendered.
+    output_path : str
+        The path where to save the generated graph
+
+    """
+    # restrict the subclasses of ``BaseModel`` to the ones in the given module name
+    context_subclasses = {
+        subclass_name: subclass
+        for subclass_name, subclass in subclasses.items()
+        if subclass_name.startswith(context_name + ".")
+    }
+
+    # render models and all links between them
+    model_lines, links = {}, set()
+    for subclass_name, subclass in context_subclasses.items():
+        subclass_lines, subclass_links = render_model(
+            subclass_name,
+            subclass,
+            context_name,
+            context_subclasses,
+        )
+        model_lines.update(subclass_lines)
+        links.update(subclass_links)
+
+    # compose the content of the dot file
+    dot_file_content = (
+        """\
+digraph domain_context_models {
+  label = "Domain context [%s]"
+  #labelloc = "t"
+  rankdir=LR
+  node[shape=record]
+"""
+        % context_name
+    )
+    for line in tuple(model_lines.values()) + tuple(links):
+        dot_file_content += f"  {line}\n"
+    dot_file_content += "}"
+
+    dot_path = os.path.join(output_path, f"{context_name}-entities.dot")
+    print(f"Writing graph for domain context {context_name} in {dot_path}")
+    with open(dot_path, "w") as file_d:
+        file_d.write(dot_file_content)
+
+
+def make_domain_contexts_diagrams(output_path: str) -> None:
+    """Make the diagrams of models for each domain contexts.
+
+    Parameters
+    ----------
+    output_path : str
+        The path where to save the generated diagrams
+
+    """
+    # we need to import all python files (except tests) to find all submodels of ``BaseModel``
+    import_submodules(contexts, skip_names=["tests"])
+    subclasses = get_final_subclasses(BaseModel)
+
+    # we render each context independently, assuming that each one is directly at the root of
+    # the ``contexts`` package
+    for module in pkgutil.iter_modules(
+        path=contexts.__path__, prefix=contexts.__name__ + "."  # type: ignore
+    ):
+        make_domain_context_graph(module.name, subclasses, output_path)
+
+
+if __name__ == "__main__":
+    assert len(sys.argv) > 1 and sys.argv[1], "Missing output directory"
+    make_domain_contexts_diagrams(sys.argv[1])