Generate PlantUML class diagrams to document your Python application.
Project description
Generate PlantUML class diagrams to document your Python application.
py2puml
uses pre-commit hooks and pre-commit.ci Continuous Integration to enforce commit messages, code formatting and linting for quality and consistency sake.
See the code conventions section if you would like to contribute to the project.
How it works
py2puml
produces a class diagram PlantUML script representing classes properties (static and instance attributes) and their relations (composition and inheritance relationships).
py2puml
internally uses code inspection (also called reflexion in other programming languages) and abstract tree parsing to retrieve relevant information.
Minimum Python versions to run py2puml
p2puml
uses some code-parsing features that are available only since Python 3.8 (like ast.get_source_segment).
If your codebase uses the int | float
syntax to define optional types, then you should use Python 3.10 to run py2puml
.
To sum it up, use at least Python 3.8 to run py2puml, or a higher version if you use syntax features available only in higher versions.
The .python-version file indicates the Python version used to develop the library. It is a file used by pyenv to define the binary used by the project.
Features
From a given path corresponding to a folder containing Python code, py2puml
processes each Python module and generates a PlantUML script from the definitions of various data structures using:
-
inspection and type annotations to detect:
- static class attributes and dataclass fields
- fields of namedtuples
- members of enumerations
- composition and inheritance relationships (between your domain classes only, for documentation sake). The detection of composition relationships relies on type annotations only, assigned values or expressions are never evaluated to prevent unwanted side-effects
-
parsing abstract syntax trees to detect the instance attributes defined in
__init__
constructors
py2puml
outputs diagrams in PlantUML syntax, which can be:
- versioned along your code with a unit-test ensuring its consistency (see the test_py2puml.py's test_py2puml_model_on_py2uml_domain example)
- generated and hosted along other code documentation (better option: generated documentation should not be versioned with the codebase)
To generate image files, use the PlantUML runtime, a docker image of the runtime (see think/plantuml) or of a server (see the CLI documentation below)
If you like tools related with PlantUML, you may also be interested in this lucsorel/plantuml-file-loader project: a webpack loader which converts PlantUML files into images during the webpack processing (useful to include PlantUML diagrams in your slides with RevealJS or RemarkJS).
Install
Install from PyPI:
- with
pip
:
pip install py2puml
- with poetry:
poetry add py2puml
- with pipenv:
pipenv install py2puml
Usage
CLI
Once py2puml
is installed at the system level, an eponymous command is available in your environment shell.
For example, to create the diagram of the classes used by py2puml
, run:
py2puml py2puml/domain py2puml.domain
This outputs the following PlantUML content:
@startuml py2puml.domain
!pragma useIntermediatePackages false
class py2puml.domain.umlclass.UmlAttribute {
name: str
type: str
static: bool
}
class py2puml.domain.umlclass.UmlClass {
attributes: List[UmlAttribute]
is_abstract: bool
}
class py2puml.domain.umlitem.UmlItem {
name: str
fqn: str
}
class py2puml.domain.umlenum.Member {
name: str
value: str
}
class py2puml.domain.umlenum.UmlEnum {
members: List[Member]
}
enum py2puml.domain.umlrelation.RelType {
COMPOSITION: * {static}
INHERITANCE: <| {static}
}
class py2puml.domain.umlrelation.UmlRelation {
source_fqn: str
target_fqn: str
type: RelType
}
py2puml.domain.umlclass.UmlClass *-- py2puml.domain.umlclass.UmlAttribute
py2puml.domain.umlitem.UmlItem <|-- py2puml.domain.umlclass.UmlClass
py2puml.domain.umlenum.UmlEnum *-- py2puml.domain.umlenum.Member
py2puml.domain.umlitem.UmlItem <|-- py2puml.domain.umlenum.UmlEnum
py2puml.domain.umlrelation.UmlRelation *-- py2puml.domain.umlrelation.RelType
footer Generated by //py2puml//
@enduml
Using PlantUML, this content is rendered as in this diagram:
For a full overview of the CLI, run:
py2puml --help
The CLI can also be launched as a python module:
python -m py2puml py2puml/domain py2puml.domain
Pipe the result of the CLI with a PlantUML server for instantaneous documentation (rendered by ImageMagick):
# runs a local PlantUML server from a docker container:
docker run -d --rm -p 1234:8080 --name plantumlserver plantuml/plantuml-server:jetty
py2puml py2puml/domain py2puml.domain | curl -X POST --data-binary @- http://localhost:1234/svg/ --output - | display
# stops the container when you don't need it anymore, restarts it later
docker stop plantumlserver
docker start plantumlserver
Python API
For example, to create the diagram of the domain classes used by py2puml
:
- import the
py2puml
function in your script:
from py2puml.py2puml import py2puml
if __name__ == '__main__':
# outputs the PlantUML content in the terminal
print(''.join(py2puml('py2puml/domain', 'py2puml.domain')))
# writes the PlantUML content in a file
with open('py2puml/py2puml.domain.puml', 'w', encoding='utf8') as puml_file:
puml_file.writelines(py2puml('py2puml/domain', 'py2puml.domain'))
- running it outputs the previous PlantUML diagram in the terminal and writes it in a file.
Tests
# directly with poetry
poetry run pytest -v
# in a virtual environment
python3 -m pytest -v
Code coverage (with missed branch statements):
poetry run pytest -v --cov=py2puml --cov-branch --cov-report term-missing --cov-fail-under 93
Changelog
0.9.1
: improved 0.7.2 by adding the current working directory at the beginning of the sys.path to resolve the module paths of the project being inspected. Fix url to PlantUML logo on the README.md page0.9.0
: add classes defined in__init__.py
files to plantuml output; replaced yapf by the ruff formatter0.8.1
: delegated the grouping of nested namespaces (see0.7.0
) to the PlantUML binary, which handles it natively0.8.0
: added support for union types, and github actions (pre-commit hooks + automated tests)0.7.2
: added the current working directory to the import path to make py2puml work in any directory or in native virtual environment (not handled by poetry)0.7.1
: removed obsolete part of documentation: deeply compound types are now well handled (by version0.7.0
)0.7.0
: improved the generated PlantUML documentation (added the namespace structure of the code base, homogenized type between inspection and parsing), improved relationships management (handle forward references, deduplicate relationships)0.6.1
: handle class names with digits0.6.0
: handle abstract classes0.5.4
: fixed the packaging so that the contribution guide is included in the published package0.5.3
: handle constructors decorated by wrapping decorators (decorators making uses offunctools.wrap
)0.5.2
: specify in pyproject.toml that py2puml requires python 3.8+ (ast.get_source_segment
was introduced in 3.8)0.5.1
: prevent from parsing inherited constructors0.5.0
: handle instance attributes in class constructors, add code coverage of unit tests0.4.0
: add a simple CLI0.3.1
: inspect sub-folders recursively0.3.0
: handle classes derived from namedtuples (attribute types areAny
)0.2.0
: handle inheritance relationships and enums0.1.3
: first release, handle all modules of a folder and compositions of domain classes
Licence
Unless stated otherwise all works are licensed under the MIT license, a copy of which is included here.
Contributions
Pull requests
Pull-requests are welcome and will be processed on a best-effort basis.
Pull requests must follow the guidelines enforced by the pre-commit
hooks:
- commit messages must follow the Angular conventions enforced by the
commitlint
hook - code formatting must follow the conventions enforced by the
isort
andruff-format
hooks - code linting should not detect code smells in your contributions, this is checked by the
ruff
hook
Please also follow the contributing guide to ease your contribution.
Code conventions
The code conventions are described and enforced by pre-commit hooks to maintain consistency across the code base. The hooks are declared in the .pre-commit-config.yaml file.
Set the git hooks (pre-commit and commit-msg types):
poetry run pre-commit install --hook-type pre-commit --hook-type commit-msg
Before committing, you can check your changes with:
# put all your changes in the git staging area
git add -A
# all hooks
poetry run pre-commit run --all-files
# a specific hook
poetry run pre-commit run ruff --all-files
Commit messages
Please, follow the conventions of the Angular team for commit messages. When merging your pull-request, the new version of the project will be derived from the messages.
Code formatting
This project uses isort
and ruff-format
to format the code.
The guidelines are expressed in their respective sections in the pyproject.toml file.
Best practices
This project uses the ruff
linter, which is configured in its section in the pyproject.toml file.
Current limitations
-
regarding inspection
- type hinting is optional when writing Python code and discarded when it is executed, as mentionned in the typing official documentation. The quality of the diagram output by
py2puml
depends on the reliability with which the type annotations were written
The Python runtime does not enforce function and variable type annotations. They can be used by third party tools such as type checkers, IDEs, linters, etc.
- type hinting is optional when writing Python code and discarded when it is executed, as mentionned in the typing official documentation. The quality of the diagram output by
-
regarding the detection of instance attributes with AST parsing:
- only constructors are visited, attributes assigned in other functions won't be documented
- attribute types are inferred from type annotations:
- of the attribute itself
- of the variable assigned to the attribute: a signature parameter or a locale variable
- to avoid side-effects, no code is executed nor interpreted
Alternatives
If py2puml
does not meet your needs (suggestions and pull-requests are welcome), you can have a look at these projects which follow other approaches (AST, linting, modeling):
- pyreverse, which includes a PlantUML printer since version 2.10.0
- cb109/pyplantuml
- deadbok/py-puml-tools
- caballero/genUML
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