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Manuel Barkhau 2018-11-04 21:34:53 +01:00
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3
.gitignore vendored
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@ -29,9 +29,6 @@ var/
.pytest_cache/ .pytest_cache/
.ipynb_checkpoints/ .ipynb_checkpoints/
# source dirs have to be explicitly added
src/
# PyInstaller # PyInstaller
# Usually these files are written by a python script from a template # Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it. # before PyInstaller builds the exe, so as to inject date/other infos into it.

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.gitlab-ci.yml Normal file
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stages:
- test
- build
unit:
stage: test
image: registry.gitlab.com/mbarkhau/pycalver/base:latest
script:
- make lint
- make mypy
- make test
coverage: '/TOTAL.*?(\d+\%)/'
artifacts:
paths:
- htmlcov/
tags:
- docker
allow_failure: false
pages:
stage: build
script:
- mkdir -p public/cov
- cp htmlcov/* public/cov/
artifacts:
paths:
- public
tags:
- docker
only:
- master

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CHANGELOG.md Normal file
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# Changelog for https://gitlab.com/mbarkhau/pycalver
## v201809.0001-alpha
- Initial release

413
CONTRIBUTING.md
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# Contributing
<!--
$ pip install md-toc
$ md_toc -i gitlab CONTRIBUTING.md.template
-->
[](TOC)
- [Contributing](#contributing)
- [Introduction](#introduction)
- [Setup](#setup)
- [Setup SSH keys](#setup-ssh-keys)
- [Setup Virtual Environments](#setup-virtual-environments)
- [Project Types](#project-types)
- [Project Layout](#project-layout)
- [Dependency Management](#dependency-management)
- [These are not used on production, or staging, only](#these-are-not-used-on-production-or-staging-only)
- [on development machines and the CI environment.](#on-development-machines-and-the-ci-environment)
- [These are the requirements produced for specific builds. They can be](#these-are-the-requirements-produced-for-specific-builds-they-can-be)
- [used to debug version compatatbility issues . They are generated](#used-to-debug-version-compatatbility-issues-they-are-generated)
- [using pip freeze](#using-pip-freeze)
- [Vendoring](#vendoring)
- [Development](#development)
- [Linting](#linting)
- [Type Checking](#type-checking)
- [Documentation](#documentation)
- [Setup to run docker](#setup-to-run-docker)
- [PyCharm](#pycharm)
- [Sublime Text](#sublime-text)
- [Best Practices](#best-practices)
[](TOC)
## Introduction
Friction for new contributors should be as low as possible. Ideally a
new contributor, starting any unix[^1] system can go through these
steps and not encounter any errors:
1. `git clone <project_url>`
2. `cd <project>`
3. `make install`
4. `# get some coffee`
5. `make lint`
6. `make test`
7. `make serve`
If you as a new contributor encounter any errors, then please create
an issue report and you will already have made a great contribution!
## Setup
The development workflow described here is documented based on a Unix
environment. Hopefully this will reduce discrepancies between
development and production systems.
### Setup SSH keys
Projects which depend on private repositories require ssh to
connect to remote servers. If this is the case, you should make
sure that your ssh keys are available in `${HOME}/.ssh`, or you
will have to do `ssh-keygen` and install the generated public
key to host system. If this is not done, `pip install` will fail
to install these dependencies from your private repositiories with
an error like this
```shell
Downloading/unpacking git+git://...git
Cloning Git repository git://
Permission denied (publickey).
fatal: The remote end hung up unexpectedly
----------------------------------------
Command /usr/local/bin/git clone ... failed with error code 128
```
### Setup Virtual Environments
The first setup can take a while, since it will install miniconda and
download lots of dependencies for the first time. If you would like to
know more about conda, there is a good article written by Gergely
Szerovay: https://medium.freecodecamp.org/85f155f4353c
```shell
dev@host:~
$ git clone git@../group/project.git
Cloning Git repository git@../group/project.git to project
...
$ cd project
dev@host:~/project
$ make install
Solving environment:
...
```
This will do quite a few things.
1. Install miniconda3, if it isn't already installed. It checks
the path `$HOME/miniconda3` for an existing installation
2. Creates python virtual environments for all supported python
versions of this project.
3. Installs application and development dependencies to the
environments.
4. Installs vendored dependencies into `vendor/`
If installation was successful, you should be able to at least
run the linter (assuming previous developers have a bare minimum
of diligence).
```console
$ make lint
flake8 .. ok
mypy .... ok
doc ..... ok
```
If this is the first time conda has been installed on your
system, you'll probably want to enable the `conda` command:
```
$ echo ". ${HOME}/miniconda3/etc/profile.d/conda.sh" >> ~/.bashrc
$ conda --version
conda 4.5.11
```
You can also activate the default virtual environment as follows.
```shell
(myproject_py36) dev@host:~/myproject
$ conda env activate myproject_py36
/home/dev/miniconda3/envs/myproject_py36/bin/python
$ ipython
Python 3.6.6 | packaged by conda-forge | (default, Jul 26 2018, 09:53:17)
t Type 'copyright', 'credits' or 'license' for more information
IPython 6.5.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]:
```
Note however, that this invocation does not have the correct
`PYTHONPATH` set up to import modules of the project. You can
review the definition for ``make ipy`` to see how to set up
`PYTHONPATH` correctly.
```shell
$ make ipy
Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 17:14:51)
Type 'copyright', 'credits' or 'license' for more information
IPython 6.5.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import myproject
In [2]: myproject.__file__
Out[2]: '/mnt/c/Users/ManuelBarkhau/myproject/src/myproject/__init__.py'
```
## Project Types
These guidelines written for different kinds of projects, each of
which is ideally: small, focosued and reusable. These projects can be:
1. Services: Projects which are deployed and run continuously.
2. Libraries: Projects which are not deployed by themselves but
installed and used by others.
3. CLI Tools: Projects which are installed and mainly used by
developers and admins.
The choices made here are intended to make it easy to start new
projects by reducing the burdon of project setup to a minimum.
## Project Layout
src/ # source code of project
vendor/ # vendored dependencies
stubs/ # mypy .pyi stub files
test/ # pytest test files (files begin with test_)
scripts/ # miscalenious scripts used deployment and ops
requirements/ # dependency metadata files
docs/ # documentation source files
data/ # fixtures for unit tests and db initialization
setup.py # main python package metadata
setup.cfg # misc python tooling configuration
README.md # project overview and status
CONTRIBUTING.md # guide for developers
CHANGELOG.md # for public libraries
LICENSE # for public libraries (MIT preferred)
makefile # main project and environment management file
### Dependency Management
Dependencies are managed using a set of requirements/\*.txt files. You
only need to know about this if you want to add or change a dependency.
```shell
requirements/conda.txt # installed via conda from main or conda-forge
requirements/pypi.txt # installed via pip from pypi to virutal environments
requirements/vendor.txt # installed via pip from pypi to vendor/
# These are not used on production, or staging, only
# on development machines and the CI environment.
requirements/development.txt # useful packgages for development/debugging
requirements/integration.txt # used for linting/testing/packaging
# These are the requirements produced for specific builds. They can be
# used to debug version compatatbility issues . They are generated
# using pip freeze
requirements/build-0123.freeze
```
When adding a new dependency please consider:
- Only specify direct dependencies of the project, not transitive
dependencies of other projects. These are installed via their
dependency declarations.
- The default specifier for a package should be only its name without
a version specifier. With this as the default, the project remains
up to date in terms of security fixes and other library
improvements.
- Some packages consider some of their dependancies to be optional, in
which case you will have to specify their transitive dependencies
- Only specify/pin/freeze a specific (older) version if there are
known issues, or your project requires features from an unstable
(alpha/beta) version of the package. Each pinned version should
document why it was pinned, so that it can later be determined if
the issue has been resolved in the meantime.
One argument against this approach is the issue of rogue package
maintainers. A package maintainer might release a new version which
you automatically install using `make update`, and this new code opens
a back door or proceeds to send data from your production system to a
random server on the internet.
The only prodection pypi or conda-forge have against this is to remove
packages that are reported to them. If you are paranoid, you could
start pinning dependencies to older versions, for which you feel
comfortable that any issues would have been noticed. This is only a
half measure however, since the issues may not be noticed even after
months.
Ultimately, if data breaches are a concern you should talk to your
network admin about firewall rules and if data loss is a concern you
should review your backup policy.
Further Reading:
https://hackernoon.com/building-a-botnet-on-pypi-be1ad280b8d6
https://python-security.readthedocs.io/packages.html
Dependencies are installed in this order:
- ``conda.txt``
- ``pypi.txt``
- ``vendor.txt``
- ``development.txt``
- ``integration.txt``
Please review the documentation header at the beginning of each file
to determine which file is appropriate for the dependency you want to
add.
Choose a file:
- ``conda.txt`` is appropriate for non python packages and packages
which would require compilation if they were downloaded from pypi.
- ``pypi.txt`` is for dependencies on python packages, be they from
pypi or git repositories.
- ``vendor.txt`` is appropriate for pure python libaries which are
written using mypy. This allows the mypy type checker to work with
types defined in other packages
After adding a new dependency, you can run ``make update``
```shell
(myproject_py36) dev@host:~/myproject
$ make update
Solving environment: done
Downloading and Extracting Packages
requests-2.19.1 | 94 KB conda-forge
...
```
### Vendoring
Vendored dependencies are usually committed to git, but if you
trust the package maintainer and the installation via vendor.txt,
then it's not required.
There are a few reasons to vendor a dependency:
1. You want the source to be easilly accessible in your development
tools. For example mypy can access the types of vendored projects.
2. You don't trust the maintainer of a dependency, and want to review
any updates using git diff.
3. There is no maintainer or downloadable package, so your only option
is to download it into a local directory. For example you may want to
use some of the modules from https://github.com/TheAlgorithms/Python
If you do vendor a dependency, avoid local modifications, instead
contribute to the upstream project when possible.
## Development
TODO: document development tasks like lint, type checking in a
platform independent way, ideally they work with PyCharm. Until
then, these are platform agnostic commands that have to be
entered manually.
### Linting
```shell
flake8 src/
sjfmt --py36 src/
```
### Type Checking
TODO: This is left open, until the mypy setup is complete
```shell
mypy src/
pytest test/
```
### Documentation
Documentation is written in Github Flavoured Markdown. Typora is
decent cross platform editor.
TODO: `make doc`
### Setup to run docker
TODO:
### PyCharm
TODO: Expand how to set editor, possibly by sharing editor config files?
Recoomended plugins:
https://plugins.jetbrains.com/plugin/10563-black-pycharm
https://plugins.jetbrains.com/plugin/7642-save-actions
### Sublime Text
https://github.com/jgirardet/sublack
## Best Practices
While not all practices linked here are followed (they are
contradictory to each other in places), reading them will give you a
good overview of how different people think about structuring their
code in order to minimize common pitfalls.
Please read, view at your leasure:
- https://www.python.org/dev/peps/pep-0008/
- https://github.com/amontalenti/elements-of-python-style
- https://github.com/google/styleguide/blob/gh-pages/pyguide.md
- https://www.youtube.com/watch?v=o9pEzgHorH0
- https://www.youtube.com/watch?v=OSGv2VnC0go
- https://www.youtube.com/watch?v=wf-BqAjZb8M
Keep in mind, that all of this is about the form of your code, and
catching common pitfalls or gotchas. None of this releives you of the
burdon of thinking about your code. The reason to use linters and type
checking is not to make the code correct, but to help you make your
code correct.
For now I won't go into the effort of writing yet another style guide.
Instead, if your code passes `make lint`, then it's acceptable. Every
time you encounter a linting error, consider it as an opportinity to
learn a best practice.
[^1]: Linux, MacOS and [WSL](https://docs.microsoft.com/en-us/windows/wsl/install-win10)

19
LICENSE
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@ -6,16 +6,15 @@ Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is copies of the Software, and to permit persons to whom the Software is furnished
furnished to do so, subject to the following conditions: to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all The above copyright notice and this permission notice shall be included in
copies or substantial portions of the Software. all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
SOFTWARE.

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# Stages:
# alpine_base : Common base image, both for the builder and for the final image.
# This contains only minimal dependencies required in both cases
# for miniconda and the makefile.
# builder : stage in which the conda envrionment is created
# and dependencies are installed
# final : the final image containing only the required environment files,
# and none of the infrastructure required to generate them.
FROM frolvlad/alpine-glibc AS alpine_base
ENV LC_ALL=C.UTF-8
ENV LANG=C.UTF-8
ENV LANGUAGE en_US.UTF-8
ENV CONDA_DIR /opt/conda
ENV PATH $CONDA_DIR/bin:$PATH
ENV SHELL /bin/bash
RUN apk add --no-cache bash make sed grep gawk curl git bzip2 unzip
CMD [ "/bin/bash" ]
FROM alpine_base AS builder
RUN apk add --no-cache ca-certificates openssh-client openssh-keygen
ENV MINICONDA_VER latest
ENV MINICONDA Miniconda3-$MINICONDA_VER-Linux-x86_64.sh
ENV MINICONDA_URL https://repo.continuum.io/miniconda/$MINICONDA
RUN curl -L ${MINICONDA_URL} --silent -o miniconda3.sh && \
/bin/bash miniconda3.sh -f -b -p $CONDA_DIR && \
rm miniconda3.sh && \
/opt/conda/bin/conda clean -tipsy && \
ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
echo "conda activate base" >> ~/.bashrc && \
conda update --all --yes && \
conda config --set auto_update_conda False
# Project specific files only from here on forward
RUN mkdir /root/.ssh/ && \
ssh-keyscan gitlab.com >> /root/.ssh/known_hosts && \
ssh-keyscan registry.gitlab.com >> /root/.ssh/known_hosts
ARG SSH_PRIVATE_RSA_KEY
ENV ENV_SSH_PRIVATE_RSA_KEY=${SSH_PRIVATE_RSA_KEY}
# Write private key and generate public key
RUN if [[ $ENV_SSH_PRIVATE_RSA_KEY ]]; then \
echo -n "-----BEGIN RSA PRIVATE KEY-----" >> /root/.ssh/id_rsa && \
echo -n ${ENV_SSH_PRIVATE_RSA_KEY} \
| sed 's/-----BEGIN RSA PRIVATE KEY-----//' \
| sed 's/-----END RSA PRIVATE KEY-----//' \
| sed 's/ /\n/g' \
>> /root/.ssh/id_rsa && \
echo -n "-----END RSA PRIVATE KEY-----" >> /root/.ssh/id_rsa && \
chmod 600 /root/.ssh/* && \
ssh-keygen -y -f /root/.ssh/id_rsa > /root/.ssh/id_rsa.pub; \
fi
ADD requirements/ requirements/
ADD scripts/ scripts/
ADD makefile.extra.make makefile.extra.make
ADD makefile.config.make makefile.config.make
ADD makefile makefile
RUN make install
RUN rm /root/.ssh/id_rsa
# Deleting pkgs implies that `conda install`
# will at have to pull all packages again.
RUN conda clean --all --yes
# Conda docs say that it is not safe to delete pkgs
# because there may be symbolic links, so we verify
# first that there are no such links.
RUN find -L /opt/conda/envs/ -type l | grep "/opt/conda/pkgs" || exit 0
# The conda install is not usable after this RUN command. Since
# we only need /opt/conda/envs/ anyway, this shouldn't be an issue.
RUN conda clean --all --yes && \
ls -d /opt/conda/* | grep -v envs | xargs rm -rf && \
find /opt/conda/ -name "*.exe" | xargs rm -rf && \
find /opt/conda/ -name "__pycache__" | xargs rm -rf && \
rm -rf /opt/conda/pkgs/
FROM alpine_base
COPY --from=builder /opt/conda/ /opt/conda/
COPY --from=builder /vendor/ /vendor

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license.header
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@ -1,9 +1,9 @@
Individual files contain the following tag instead of the full license text. Individual files contain the following tag instead of the full license text.
This file is part of the pycalver project This file is part of the pycalver project
https://github.com/mbarkhau/pycalver https://gitlab.com/mbarkhau/pycalver
(C) 2018 Manuel Barkhau (@mbarkhau) Copyright (c) 2018 Manuel Barkhau (@mbarkhau) - MIT License
SPDX-License-Identifier: MIT SPDX-License-Identifier: MIT
This enables machine processing of license information based on the SPDX This enables machine processing of license information based on the SPDX

425
makefile Normal file
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# Helpful Links
# http://clarkgrubb.com/makefile-style-guide
# https://explainshell.com
# https://stackoverflow.com/questions/448910
# https://shiroyasha.svbtle.com/escape-sequences-a-quick-guide-1
MAKEFLAGS += --warn-undefined-variables
SHELL := /bin/bash
.SHELLFLAGS := -O extglob -eo pipefail -c
.DEFAULT_GOAL := help
.SUFFIXES:
-include makefile.config.make
PROJECT_DIR := $(notdir $(abspath .))
ifndef MODULE_SRC_PATH
MODULE_SRC_PATH := $(notdir $(abspath .))
endif
ifndef DEVELOPMENT_PYTHON_VERSION
DEVELOPMENT_PYTHON_VERSION := python=3.6
endif
ifndef SUPPORTED_PYTHON_VERSIONS
SUPPORTED_PYTHON_VERSIONS := $(DEVELOPMENT_PYTHON_VERSION)
endif
PKG_NAME := $(PACKAGE_NAME)
MODULE_SRC_PATH = src/$(PKG_NAME)/
# TODO (mb 2018-09-23): Support for bash on windows
# perhaps we need to install conda using this
# https://repo.continuum.io/miniconda/Miniconda3-latest-Windows-x86_64.exe
PLATFORM = $(shell uname -s)
# miniconda is shared between projects
CONDA_ROOT := $(shell if [[ -d /opt/conda ]]; then echo "/opt/conda"; else echo "$$HOME/miniconda3"; fi;)
CONDA_BIN := $(CONDA_ROOT)/bin/conda
ENV_PREFIX := $(CONDA_ROOT)/envs
DEV_ENV_NAME := \
$(subst py,$(PKG_NAME)_py,$(subst .,,$(subst =,,$(subst thon,,$(DEVELOPMENT_PYTHON_VERSION)))))
CONDA_ENV_NAMES := \
$(subst py,$(PKG_NAME)_py,$(subst .,,$(subst =,,$(subst thon,,$(SUPPORTED_PYTHON_VERSIONS)))))
CONDA_ENV_PATHS := \
$(subst py,${ENV_PREFIX}/$(PKG_NAME)_py,$(subst .,,$(subst =,,$(subst thon,,$(SUPPORTED_PYTHON_VERSIONS)))))
# default version for development
DEV_ENV := $(ENV_PREFIX)/$(DEV_ENV_NAME)
DEV_ENV_PY := $(DEV_ENV)/bin/python
build/envs.txt: requirements/conda.txt
@mkdir -p build/
@if [[ ! -f $(CONDA_BIN) ]]; then \
if [[ $(PLATFORM) == "Linux" ]]; then \
echo "installing miniconda ..."; \
curl "https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh" \
-O build/miniconda3.sh; \
fi
if [[ $(PLATFORM) == "MINGW64_NT-10.0" ]]; then \
curl "https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh" \
-O build/miniconda3.sh; \
fi
if [[ $(PLATFORM) == "Darwin" ]]; then \
curl "https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh" \
-O build/miniconda3.sh; \
fi
bash build/miniconda3.sh -b -p $(CONDA_ROOT); \
rm build/miniconda3.sh; \
fi
rm -f build/envs.txt.tmp;
@SUPPORTED_PYTHON_VERSIONS="$(SUPPORTED_PYTHON_VERSIONS)" \
CONDA_ENV_NAMES="$(CONDA_ENV_NAMES)" \
CONDA_ENV_PATHS="$(CONDA_ENV_PATHS)" \
CONDA_BIN="$(CONDA_BIN)" \
bash scripts/setup_conda_envs.sh;
$(CONDA_BIN) env list \
| grep $(PKG_NAME) \
| rev | cut -d " " -f1 \
| rev | sort >> build/envs.txt.tmp;
mv build/envs.txt.tmp build/envs.txt;
build/deps.txt: build/envs.txt requirements/*.txt
@mkdir -p build/
@SUPPORTED_PYTHON_VERSIONS="$(SUPPORTED_PYTHON_VERSIONS)" \
CONDA_ENV_NAMES="$(CONDA_ENV_NAMES)" \
CONDA_ENV_PATHS="$(CONDA_ENV_PATHS)" \
CONDA_BIN="$(CONDA_BIN)" \
bash scripts/update_conda_env_deps.sh;
@echo "updating $(DEV_ENV_NAME) development deps ...";
@$(DEV_ENV_PY) -m pip install \
--disable-pip-version-check --upgrade \
--requirement=requirements/integration.txt;
@$(DEV_ENV_PY) -m pip install \
--disable-pip-version-check --upgrade \
--requirement=requirements/development.txt;
@echo "updating local vendor dep copies ...";
@$(DEV_ENV_PY) -m pip install \
--upgrade --disable-pip-version-check \
--no-deps --target=./vendor \
--requirement=requirements/vendor.txt;
@rm -f build/deps.txt.tmp;
@for env_name in $(CONDA_ENV_NAMES); do \
env_py="${ENV_PREFIX}/$${env_name}/bin/python"; \
printf "\npip freeze for $${env_name}:\n" >> build/deps.txt.tmp; \
$${env_py} -m pip freeze >> build/deps.txt.tmp; \
printf "\n\n" >> build/deps.txt.tmp; \
done
@mv build/deps.txt.tmp build/deps.txt
# Add the following 'help' target to your Makefile
# And add help text after each target name starting with '\#\#'
# A category can be added with @category
## This help message
.PHONY: help
help:
@printf "Available make targets for \033[97m$(PKG_NAME)\033[0m:\n";
@awk '{ \
if ($$0 ~ /^.PHONY: [a-zA-Z\-\_0-9]+$$/) { \
helpCommand = substr($$0, index($$0, ":") + 2); \
if (helpMessage) { \
printf "\033[36m%-20s\033[0m %s\n", \
helpCommand, helpMessage; \
helpMessage = ""; \
} \
} else if ($$0 ~ /^##/) { \
if (helpMessage) { \
helpMessage = helpMessage"\n "substr($$0, 3); \
} else { \
helpMessage = substr($$0, 3); \
} \
} else { \
if (helpMessage) { \
print "\n "helpMessage"\n" \
} \
helpMessage = ""; \
} \
}' \
$(MAKEFILE_LIST)
@if [[ ! -f $(DEV_ENV_PY) ]]; then \
echo "Missing python interpreter at $(DEV_ENV_PY) !"; \
echo "You problably want to install first:"; \
echo ""; \
echo " make install"; \
echo ""; \
exit 0; \
fi
@if [[ ! -f $(CONDA_BIN) ]]; then \
echo "No conda installation found!"; \
echo "You problably want to install first:"; \
echo ""; \
echo " make install"; \
echo ""; \
exit 0; \
fi
## -- Project Setup --
## Delete conda envs and cache 💩
.PHONY: clean
clean:
@for env_name in $(CONDA_ENV_NAMES); do \
env_py="${ENV_PREFIX}/$${env_name}/bin/python"; \
if [[ -f $${env_py} ]]; then \
$(CONDA_BIN) env remove --name $${env_name} --yes; \
fi; \
done
rm -f build/envs.txt
rm -f build/deps.txt
rm -rf vendor/
rm -rf .mypy_cache/
rm -rf .pytest_cache/
rm -rf __pycache__/
rm -rf src/__pycache__/
rm -rf vendor/__pycache__/
@printf "\n setup/update completed ✨ 🍰 ✨ \n\n"
## Force update of dependencies
## (this removes makefile markers)
.PHONY: force
force:
rm -f build/envs.txt
rm -f build/deps.txt
rm -rf vendor/
rm -rf .mypy_cache/
rm -rf .pytest_cache/
rm -rf __pycache__/
rm -rf src/__pycache__/
rm -rf vendor/__pycache__/
## Setup python virtual environments
.PHONY: install
install: build/deps.txt
## Update dependencies (pip install -U ...)
.PHONY: update
update: build/deps.txt
## Install git pre-push hooks
.PHONY: git_hooks
git_hooks:
@rm -f "${PWD}/.git/hooks/pre-push"
ln -s "${PWD}/scripts/pre-push-hook.sh" "${PWD}/.git/hooks/pre-push"
# TODO make target to publish on pypi
# .PHONY: publish
# publish:
# echo "Not Implemented"
## -- Development --
## Run code formatter on src/ and test/
.PHONY: fmt
fmt:
@$(DEV_ENV)/bin/sjfmt --py36 --skip-string-normalization --line-length=100 \
src/ test/
## Run flake8 linter
.PHONY: lint
lint:
@printf "flake8 ..\n"
@$(DEV_ENV)/bin/flake8 src/
@printf "\e[1F\e[9C ok\n"
## Run mypy type checker
.PHONY: mypy
mypy:
@rm -rf ".mypy_cache";
@printf "mypy ....\n"
@MYPYPATH=stubs/:vendor/ $(DEV_ENV_PY) -m mypy src/
@printf "\e[1F\e[9C ok\n"
## Run pylint. Should not break the build yet
.PHONY: pylint
pylint:
@printf "pylint ..\n";
@$(DEV_ENV)/bin/pylint --jobs=4 --output-format=colorized --score=no \
--disable=C0103,C0301,C0330,C0326,C0330,C0411,R0903,W1619,W1618,W1203 \
--extension-pkg-whitelist=ujson,lxml,PIL,numpy,pandas,sklearn,pyblake2 \
src/
@$(DEV_ENV)/bin/pylint --jobs=4 --output-format=colorized --score=no \
--disable=C0103,C0111,C0301,C0330,C0326,C0330,C0411,R0903,W1619,W1618,W1203 \
--extension-pkg-whitelist=ujson,lxml,PIL,numpy,pandas,sklearn,pyblake2 \
test/
@printf "\e[1F\e[9C ok\n"
## Run pytest unit and integration tests
.PHONY: test
test:
@rm -rf ".pytest_cache";
@rm -rf "src/__pycache__";
@rm -rf "test/__pycache__";
ENV=dev PYTHONPATH=src/:vendor/:$$PYTHONPATH \
$(DEV_ENV_PY) -m pytest -v \
--doctest-modules \
--cov-report html \
--cov-report term \
--cov=$(PKG_NAME) \
test/ src/;
@rm -rf ".pytest_cache";
@rm -rf "src/__pycache__";
@rm -rf "test/__pycache__";
## -- Helpers --
## Shortcut for make fmt lint pylint test
.PHONY: check
check: fmt lint mypy test
## Start shell with environ variables set.
.PHONY: env
env:
@bash -c '\
ENV=dev \
PYTHONPATH=\"src/:vendor/:$$PYTHONPATH\" \
PATH=\"$(DEV_ENV)/bin/:$$PATH\"; \
$$SHELL '
## Drop into an ipython shell with correct env variables set
.PHONY: ipy
ipy:
@PYTHONPATH=src/:vendor/:$$PYTHONPATH \
$(DEV_ENV)/bin/ipython
## Like `make test`, but with debug parameters
.PHONY: devtest
devtest:
@rm -rf ".pytest_cache";
@rm -rf "src/__pycache__";
@rm -rf "test/__pycache__";
ifndef FILTER
ENV=dev PYTHONPATH=src/:vendor/:$$PYTHONPATH \
$(DEV_ENV_PY) -m pytest -v \
--doctest-modules \
--no-cov \
--verbose \
--capture=no \
--exitfirst \
test/ src/;
else
ENV=dev PYTHONPATH=src/:vendor/:$$PYTHONPATH \
$(DEV_ENV_PY) -m pytest -v \
--doctest-modules \
--no-cov \
--verbose \
--capture=no \
--exitfirst \
-k $(FILTER) \
test/ src/;
endif
@rm -rf ".pytest_cache";
@rm -rf "src/__pycache__";
@rm -rf "test/__pycache__";
## -- Build/Deploy --
## Generate Documentation
.PHONY: doc
doc:
echo "Not Implemented"
## Bump Version number in all files
.PHONY: bump_version
bump_version:
echo "Not Implemented"
## Freeze dependencies of the current development env
## These dependencies are used for the docker image
.PHONY: freeze
freeze:
echo "Not Implemented"
## Create python sdist and bdist_wheel distributions
.PHONY: build_dist
build_dist:
$(DEV_ENV_PY) setup.py sdist bdist_wheel
twine check dist/*
echo "To a PUBLIC release on pypi run:\n\t\$(DEV_ENV_PY) setup.py upload"
## Build docker images. Must be run when dependencies are added
## or updated. The main reasons this can fail are:
## 1. No ssh key at $(HOME)/.ssh/${PKG_NAME}_gitlab_runner_id_rsa
## (which is needed to install packages from private repos
## and is copied into a temp container during the build).
## 2. Your docker daemon is not running or configured to
## expose on tcp://localhost:2375
.PHONY: build_docker
build_docker:
@if [[ -f $$HOME/.ssh/${PKG_NAME}_gitlab_runner_id_rsa ]]; then \
docker build \
--build-arg SSH_PRIVATE_RSA_KEY="$$(cat ${HOME}/.ssh/${PKG_NAME}_gitlab_runner_id_rsa)" \
--file docker_base.Dockerfile \
--tag $(DOCKER_REGISTRY_URL)/base:latest \
.
else
docker build \
--file docker_base.Dockerfile \
--tag $(DOCKER_REGISTRY_URL)/base:latest \
.
fi
docker push $(DOCKER_REGISTRY_URL)/base:latest
-include makefile.extra.make

21
makefile.config.make Normal file
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@ -0,0 +1,21 @@
PACKAGE_NAME := pycalver
DOCKER_REGISTRY_URL := registry.gitlab.com/mbarkhau/pycalver
# This is the python version that is used for:
# - `make fmt`
# - `make ipy`
# - `make lint`
# - `make devtest`
DEVELOPMENT_PYTHON_VERSION := python=3.6
# These must be valid conda package names. A separate
# conda environment will be created for each of these.
# Some valid options are:
# - python=2.7
# - python=3.5
# - python=3.6
# - python=3.7
# - pypy2.7
# - pypy3.5
SUPPORTED_PYTHON_VERSIONS := python=2.7 python=3.6 python=3.7

9
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@ -0,0 +1,9 @@
## Start the development http server in debug mode
## This is just to illustrate how to add your
## extra targets outside of the main makefile.
.PHONY: serve
serve:
echo "Not Implemented"

7
requirements-dev.txt
View file

@ -1,7 +0,0 @@
wheel
pip
twine
ipython
pudb
py-spy
snakeviz

8
requirements-test.txt
View file

@ -1,8 +0,0 @@
flake8
flake8-bugbear
mypy
typing-extensions
rst2html5
pytest
pytest-cov
codecov

4
requirements.txt
View file

@ -1,4 +0,0 @@
setuptools
pathlib2
typing
click

34
requirements/conda.txt Normal file
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@ -0,0 +1,34 @@
# These dependencies are installed using:
#
# conda install --channel conda-forge --name <env>
#
# Conda should be used for
#
# 1. Binary python packages (numpy, pandas, pillow).
# The pypi may not always have binary packages for all platforms
# and architectures you want to support. For example, pyblake2 only
# has binary wheels for windows on pypi, whereas there are binary
# packages on conda-forge (as of Sep 2018).
# Binary wheels are becomming more common on the pypi this is
# becomming, so this is less and less of an issue. Most of the time
# it should be fine to add the dependency to pypi.txt instead.
#
# 2. Non python packages (nodejs, typescript).
# Using conda for these kinds of dependencies minimizes
# installation overhead for developers.
# https://pypi.org/project/ujson/
# UltraJSON is an ultra fast JSON encoder and decoder written
# in pure C with bindings for Python 2.5+ and 3.
ujson
# The hot new pkdf on the block is argon2, winner of
# the https://password-hashing.net/ competition.
argon2_cffi
# https://blake2.net/
# BLAKE2 is a cryptographic hash function faster than MD5, SHA-1,
# SHA-2, and SHA-3, yet is at least as secure as the latest standard
# SHA-3. BLAKE2 has been adopted by many projects due to its high
# speed, security, and simplicity.
pyblake2

26
requirements/development.txt Normal file
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@ -0,0 +1,26 @@
# These dependencies are installed using:
#
# pip install --upgrade
#
# This list should only contain packages related to
# local development and debugging. It should not contain
# any packages required for production, building or packaging
# PuDB is a full-screen, console-based visual debugger for Python.
# https://documen.tician.de/pudb/
pudb
# Py-Spy: A sampling profiler for Python programs.
# https://github.com/benfred/py-spy
# This is good for coarse grained profiling (even on production)
py-spy
# SNAKEVIZ : A browser based viewer for the output of Python’s cProfile.
# https://jiffyclub.github.io/snakeviz/
# This is good for fine grained profiling (function level/micro optimizations)
snakeviz
# I've yet to find a decent memory profiler for python, feel free to
# add one after you've tested it and found it to be actually useful.
ipython # nuff said

24
requirements/integration.txt Normal file
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@ -0,0 +1,24 @@
# These dependencies are installed using:
#
# pip install --upgrade
#
# This file should only declare dependencies related to code
# formatting, linting, testing and packaging.
#
# No dependencies required for production should be listed here.
flake8
flake8-bugbear
flake8-docstrings
flake8-builtins
flake8-comprehensions
pylint
mypy
pytest
pytest-cov
pylint
twine
straitjacket
pycalver

12
requirements/pypi.txt Normal file
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@ -0,0 +1,12 @@
# These dependencies are installed using:
#
# pip install --upgrade
#
# This list is the default package list. All pure python packages
# for the production environment at runtime should be listed here.
# Binary (non-pure) packages may also be listed here, but you
# should see if there is a conda package that suits your needs.
pathlib2
typing
click

22
requirements/vendor.txt Normal file
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@ -0,0 +1,22 @@
# These dependencies are installed using:
#
# pip install --upgrade
# pip install --upgrade --no-deps --target vendor/
#
# Vendored dependencies are installed both in the virtual
# environment as well as in the vendor/ directory. This way:
#
# 1. All transitive dependencies of a package are installed in
# the virtualenv (in the first installation step)
# 2. If there is a binary version of the package available, it
# will be installed into the virtualenv
# 3. In the third step only (--no-deps) the source version of
# the (--no-binary) package is installed to vendor/
#
# This allows us to:
#
# 1. Easily navigate to the source of a vendored dependency
# 2. Use binary versions packages instead of source versions of
# packages, simply by not including the vendor/ directory in
# the PYTHONPATH. The version from the virtualenv will then
# be loaded instead.

12
scripts/pre-push-hook.sh Normal file
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@ -0,0 +1,12 @@
#!/bin/bash
set -euo pipefail;
make fmt;
git diff --exit-code --stat src/;
git diff --exit-code --stat test/;
git diff --exit-code --stat scripts/;
git diff --exit-code --stat requirements/;
make lint;
make test;

26
scripts/setup_conda_envs.sh Normal file
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@ -0,0 +1,26 @@
#!/bin/bash
read -r -a env_paths <<< "${CONDA_ENV_PATHS//, /$IFS}";
read -r -a env_names <<< "${CONDA_ENV_NAMES//, /$IFS}";
read -r -a py_versions <<< "${SUPPORTED_PYTHON_VERSIONS//, /$IFS}";
for i in ${!env_paths[@]}; do
env_path=${env_paths[i]};
env_path_python=${env_path}/bin/python;
env_name=${env_names[i]};
py_version=${py_versions[i]};
if [[ ! -f ${env_path_python} ]]; then
echo "conda create --name ${env_name} ${py_version} ...";
${CONDA_BIN} create --name ${env_name} ${py_version} --yes --quiet;
fi;
echo "updating ${env_name} conda deps ...";
${CONDA_BIN} install --name ${env_name} --channel conda-forge --yes --quiet \
$(grep -o '^[^#][^ ]*' requirements/conda.txt)
${env_path_python} --version >> build/envs.txt.tmp \
2>>build/envs.txt.tmp \
1>>build/envs.txt.tmp;
done;

24
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@ -0,0 +1,24 @@
#!/bin/bash
read -r -a env_paths <<< "${CONDA_ENV_PATHS//, /$IFS}";
read -r -a env_names <<< "${CONDA_ENV_NAMES//, /$IFS}";
for i in ${!env_paths[@]}; do
env_path=${env_paths[i]};
env_path_python=${env_path}/bin/python;
env_name=${env_names[i]};
${env_path_python} -m pip install --upgrade --quiet pip;
echo "updating ${env_name} pypi deps ...";
${env_path_python} -m pip install \
--disable-pip-version-check --upgrade --quiet \
--requirement=requirements/pypi.txt;
echo "updating ${env_name} vendor deps ...";
${env_path_python} -m pip install \
--disable-pip-version-check --upgrade --quiet \
--requirement=requirements/vendor.txt;
done;

81
setup.cfg
View file

@ -1,42 +1,59 @@
[flake8] [metadata]
ignore = license_file = LICENSE
# No whitespace after paren open "("
E201, [bdist_wheel]
# No whitespace before paren ")" universal = 1
E202,
# No whitespace before ":"
E203,
# Multiple spaces before operator
E221
# Multiple spaces before keyword
E272,
# Spaces around keyword/parameter equals
E251
# Line too long (B950 is used instead)
E501,
# Line break before binary op
W503,
# Line break after binary op
W504
select = C,E,F,W,B,B901,B950
max-line-length = 100
exclude = .git,__pycache__,.eggs/,dist/,.mypy_cache
[mypy] [mypy]
check_untyped_defs = True check_untyped_defs = True
disallow_untyped_calls = True disallow_untyped_calls = True
follow_imports = silent follow_imports = silent
strict_optional = True strict_optional = True
ignore_missing_imports = True
[flake8]
max-line-length = 100
max-complexity = 10
ignore =
# No whitespace after paren open "("
E201
# No whitespace before paren ")"
E202
# No whitespace before ":"
E203
# Multiple spaces before operator
E221
# Multiple spaces before keyword
E272
# Spaces around keyword/parameter equals
E251
# Line too long (B950 is used instead)
E501
# Line break before binary op
W503
# Line break after binary op
W504
# Missing docstring in public module
# D100
# Missing docstring in public class
# D101
# Missing docstring on __init__
D107
select = A,AAA,D,C,E,F,W,H,B,D212,D404,D405,D406,B901,B950
exclude =
.git
__pycache__
.eggs/
dist/
.mypy_cache
# Hopefully this can be resolved, so D404, D405 start working
# https://github.com/PyCQA/pydocstyle/pull/188
[aliases]
test=pytest
[tool:pytest] [tool:pytest]
addopts = --verbose addopts = --doctest-modules
python_files = test/*.py
[bdist_wheel]
universal = 1
[pycalver] [pycalver]
current_version = v201809.0002-beta current_version = v201809.0002-beta
@ -55,7 +72,7 @@ patterns =
patterns = patterns =
__version__ = "{version}" __version__ = "{version}"
[pycalver:file:README.rst] [pycalver:file:README.md]
patterns = patterns =
badge/CalVer-{calver}{build}-{release}-blue.svg [PyCalVer {calver}{build}-{release}]
:alt: CalVer {version} img.shields.io/badge/PyCalVer-{calver}{build}--{release}-blue

20
setup.py
View file

@ -1,7 +1,7 @@
# This file is part of the pycalver project # This file is part of the pycalver project
# https://github.com/mbarkhau/pycalver # https://gitlab.com/mbarkhau/pycalver
# #
# (C) 2018 Manuel Barkhau (mbarkhau@gmail.com) # (C) 2018 Manuel Barkhau (@mbarkhau)
# SPDX-License-Identifier: MIT # SPDX-License-Identifier: MIT
import os import os
@ -9,13 +9,13 @@ import sys
import setuptools import setuptools
def project_path(filename): def project_path(*sub_paths):
dirpath = os.path.abspath(os.path.dirname(__file__)) project_dirpath = os.path.abspath(os.path.dirname(__file__))
return os.path.join(dirpath, filename) return os.path.join(project_dirpath, *sub_paths)
def read(filename): def read(*sub_paths):
with open(project_path(filename), mode="rb") as fh: with open(project_path(*sub_paths), mode="rb") as fh:
return fh.read().decode("utf-8") return fh.read().decode("utf-8")
@ -39,12 +39,12 @@ setuptools.setup(
name="pycalver", name="pycalver",
license="MIT", license="MIT",
author="Manuel Barkhau", author="Manuel Barkhau",
author_email="mbarkhau@gmail.com", author_email="@mbarkhau",
url="https://github.com/mbarkhau/pycalver", url="https://gitlab.com/mbarkhau/pycalver",
version="201809.2b0", version="201809.2b0",
keywords="version versioning bumpversion calver", keywords="version versioning bumpversion calver",
description="CalVer versioning for python projects", description="CalVer versioning for python libraries.",
long_description=long_description, long_description=long_description,
packages=packages, packages=packages,

4
src/pycalver/__init__.py
View file

@ -1,7 +1,7 @@
# This file is part of the pycalver project # This file is part of the pycalver project
# https://github.com/mbarkhau/pycalver # https://gitlab.com/mbarkhau/pycalver
# #
# (C) 2018 Manuel Barkhau (@mbarkhau) # Copyright (c) 2018 Manuel Barkhau (@mbarkhau) - MIT License
# SPDX-License-Identifier: MIT # SPDX-License-Identifier: MIT
import os import os

4
src/pycalver/__main__.py
View file

@ -1,8 +1,8 @@
#!/usr/bin/env python #!/usr/bin/env python
# This file is part of the pycalver project # This file is part of the pycalver project
# https://github.com/mbarkhau/pycalver # https://gitlab.com/mbarkhau/pycalver
# #
# (C) 2018 Manuel Barkhau (@mbarkhau) # Copyright (c) 2018 Manuel Barkhau (@mbarkhau) - MIT License
# SPDX-License-Identifier: MIT # SPDX-License-Identifier: MIT
import io import io

6
stubs/README.md Normal file
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@ -0,0 +1,6 @@
# Stub files for mypy
Before using stubs, check if the library you want to use
itself uses mypy. If it does, the better approach is to
add it to `requirements/vendor.txt`. This way mypy will
find the actual source instead of just stub files.