Some common tasks for PyInvoke to bootstrap your code quality and testing workflows.
Project description
Invoke Common Tasks
Some common tasks for PyInvoke to bootstrap your code quality and testing workflows.
Getting Started
pip install invoke-common-tasks
Invoke Setup
tasks.py
from invoke_common_tasks import *
Once your tasks.py
is setup like this invoke
will have the extra commands:
λ invoke --list
Available tasks:
build Build wheel.
ci Run linting and test suite for Continuous Integration.
format Autoformat code for code style.
lint Linting and style checking.
test Run test suite.
typecheck Run typechecking tooling.
The Tasks
build
Assuming you are using poetry
this will build a wheel (and only a wheel).
format
This will apply code formatting tools black
and isort
.
These are only triggers for these commands, the specifics of configuration are up to you.
Recommended configuration in your pyproject.toml
:
[tool.black]
line-length = 120
[tool.isort]
profile = "black"
multi_line_output = 3
import_heading_stdlib = "Standard Library"
import_heading_firstparty = "Our Libraries"
import_heading_thirdparty = "Third Party"
lint
This will run checks for black
, isort
and flake8
.
Up to you to specify your preferences of plugins for flake8
and its configuration.
Recommended configuration in .flake8
:
[flake8]
exclude =
venv,
dist,
.venv
select = ANN,B,B9,BLK,C,D,DAR,E,F,I,S,W
ignore = E203,E501,W503,D100,D104
per-file-ignores =
tests/*: D103,S101
max-line-length = 120
max-complexity = 10
import-order-style = google
docstring-convention = google
Recommended flake8
plugins:
More flake8
plugins:
https://github.com/DmytroLitvinov/awesome-flake8-extensions
typecheck
Simply runs mypy --pretty --show-error-codes .
.
Recommended configuration to add to your pyproject.toml
[tool.mypy]
pretty = true
show_error_codes = true
show_column_numbers = true
show_error_context = true
exclude = [
'tests/',
'tasks\.py'
]
follow_imports = 'silent'
ignore_missing_imports = true
# Work your way up to these:
disallow_incomplete_defs = true
# disallow_untyped_defs = true
# strict = true
test (and coverage)
This will simply run python3 -m pytest
. This is important to run as a module instead of pytest
since it resolves
a lot of import issues.
You can simply not import this task if you prefer something else. But all config and plugins are left flexible for your own desires, this simply triggers the entrypoint.
Recommended configuration in pyproject.toml
:
[tool.pytest.ini_options]
minversion = "6.0"
addopts = "-s -vvv --color=yes --cov=. --no-cov-on-fail"
[tool.coverage.run]
omit = ["tests/*", "**/__init__.py", "tasks.py"]
branch = true
Assuming you also install pytest-cov
and coverage[toml]
.
Recommended pytest
plugins:
pytest-xdist
- Run tests in parallel using maximum cpu corespytest-randomly
- Run tests in random order each time to detect tests with unintentional dependencies to each other that should be isolated. Each run prints out the seed if you need to reproduce an exact seeded run.pytest-cov
- It is recommended to run coverage from thepytest
plugin.
List of other pytest
plugins:
https://docs.pytest.org/en/latest/reference/plugin_list.html
ci
This is a task with no commands but chains together lint
, typecheck
and test
.
TODO
- Auto-initialisations of some default config.
- eg
invoke format --init
should set config if not present
- eg
Roadmap
This project will get marked as a stable v1.0 once the above TODO features are ticked off and this has seen at least 6 months in the wild in production.
All Together
Once all the tasks are imported, you can create a custom task as your default task with runs a few tasks chained together.
from invoke import task
from invoke_common_tasks import *
@task(pre=[format, lint, typecheck, test], default=True)
def all(c):
"""Default development loop."""
...
You will notice a few things here:
- The method has no implementation
...
- We are chaining a series of
@task
s in thepre=[...]
argument - The
default=True
on this root tasks means we could run eitherinvoke all
or simplyinvoke
.
How cool is that?
Contributing
At all times, you have the power to fork this project, make changes as you see fit and then:
pip install https://github.com/user/repository/archive/branch.zip
Stackoverflow: pip install from github branch
That way you can run from your own custom fork in the interim or even in-house your work and simply use this project as a starting point. That is totally ok.
However if you would like to contribute your changes back, then open a Pull Request "across forks".
Once your changes are merged and published you can revert to the canonical version of pip install
ing this package.
If you're not sure how to make changes or if you should sink the time and effort, then open an Issue instead and we can have a chat to triage the issue.
Resources
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