Metadata-Version: 1.1
Name: pip-compile-multi
Version: 1.3.0
Summary: Compile multiple requirements files to lock dependency versions
Home-page: https://github.com/peterdemin/pip-compile-multi
Author: Peter Demin
Author-email: peterdemin@gmail.com
License: MIT
Description: ===============================
        pip-compile-multi
        ===============================
        
        .. image:: https://badge.fury.io/py/pip-compile-multi.png
            :target: http://badge.fury.io/py/pip-compile-multi
        
        .. image:: https://travis-ci.org/peterdemin/pip-compile-multi.svg?branch=master
            :target: https://travis-ci.org/peterdemin/pip-compile-multi
        
        .. image:: https://ci.appveyor.com/api/projects/status/1spvqh9hlqtv2a81?svg=true
            :target: https://ci.appveyor.com/project/peterdemin/pip-compile-multi
        
        .. image:: https://img.shields.io/pypi/pyversions/pip-compile-multi.svg
            :target: https://pypi.python.org/pypi/pip-compile-multi
        
        
        Compile multiple requirements files to lock dependency versions
        
        Installation
        ------------
        
        .. code-block:: shell
        
            pip install pip-compile-multi
        
        Basic Usage
        -----------
        
        .. code-block:: shell
        
            pip-compile-multi
        
        Example scenario
        ----------------
        
        I will start from the very basics of dependency management and will go very slow,
        so if you feel bored, just scroll to the next section.
        
        Suppose you have a python project with following direct dependencies:
        
        .. code-block:: text
        
            click
            pip-tools
        
        (Yes I took pip-compile-multi as an example).
        Let's save them as-is in ``requirements/base.in``.
        Those are unpinned libraries. It means that whenever developer runs
        
        .. code-block:: shell
        
            pip install -r requirements/base.in
        
        they will get *some* version of these libraries.
        And the chances are that if several developers do the same over some period,
        some will have different dependency versions than others.
        Also, if the project is online service, one day it may stop working after
        redeployment because some of the dependencies had backward incompatible release.
        These backward incompatible changes are relatively common.
        
        To avoid this problem, Python developers are hard-pinning (aka locking) their dependencies.
        So instead of a list of libraries, they have something like:
        
        .. code-block:: text
        
            click==6.7
            pip-tools==1.11.0
        
        (To keep things neat let's put this into ``requirements/base.txt``)
        That's good for a starter. But there are two significant drawbacks:
        
        1. Developers have to do non-trivial operations if they want to keep up with
           newer versions (that have bug fixes and performance improvements).
        2. Indirect dependencies (that is dependencies of dependencies) may still have
           backward-incompatible releases, that brake everything.
        
        Let's put aside point 1 and fight point 2. Let's do
        
        .. code-block:: shell
        
            pip freeze > requirements/base.txt
        
        Now we have full heirarchy of dependencies hard-pinned:
        
        .. code-block:: text
        
            click==6.7
            first==2.0.1
            pip-tools==1.11.0
            six==1.11.0
        
        That's great, and solves the main problem - service will be deployed exactly [1]
        the same every single time and all developers will have same environments.
        
        This case is so common that there already are some tools to solve it.
        Two worth mentioning are:
        
        1. `Pip Tools`_ - a mature package that is enhanced by ``pip-compile-multi``.
        2. `PipEnv`_ - a fresh approach that is going to become the "official" Python way of locking dependencies some day.
        
        But what if the project uses some packages that are not required by the service itself?
        For example ``pytest``, that is needed to run unit tests, but should never
        be deployed to a production site. Or ``flake8`` - syntax checking tool.
        If they are installed in the current virtual environment, they will get into
        ``pip freeze`` output.
        That's no good.
        And removing them manually from ``requirements/base.txt`` is not an option.
        But still, these packages must be pinned to ensure, that tests are running
        the same way on all development machines (and build server).
        
        So let's get hands dirty and put all the testing stuff into ``requirements/test.in``:
        
        .. code-block:: text
        
            -r base.in
            
            prospector
            pylint
            flake8
            mock
            six
        
        Note, how I put ``-r base.in`` in the beginning, so that *test* dependencies are installed
        along with the *base*.
        
        Now installation command is
        
        .. code-block:: shell
        
            pip install -e requirements/test.in
        
        For one single time (exceptionally to show how unacceptable is this task)
        let's manually compose ``requirements/test.txt``.
        After installation, run freeze to bring the whole list of all locked packages:
        
        .. code-block:: shell
        
            $ pip freeze
            astroid==1.6.0
            click==6.7
            dodgy==0.1.9
            first==2.0.1
            flake8==3.5.0
            flake8-polyfill==1.0.2
            isort==4.2.15
            lazy-object-proxy==1.3.1
            mccabe==0.6.1
            mock==2.0.0
            pbr==3.1.1
            pep8-naming==0.5.0
            pip-tools==1.11.0
            prospector==0.12.7
            pycodestyle==2.0.0
            pydocstyle==2.1.1
            pyflakes==1.6.0
            pylint==1.8.1
            pylint-celery==0.3
            pylint-common==0.2.5
            pylint-django==0.7.2
            pylint-flask==0.5
            pylint-plugin-utils==0.2.6
            PyYAML==3.12
            requirements-detector==0.5.2
            setoptconf==0.2.0
            six==1.11.0
            snowballstemmer==1.2.1
            wrapt==1.10.11
        
        Wow! That's quite a list! But we remember what goes into base.txt:
        
        1. click
        2. first
        3. pip-tools
        4. six
        
        Good, everything else can be put into ``requirements/test.txt``.
        But wait, ``six`` is included in ``test.in`` and is missing in ``test.txt``.
        That feels wrong. Ah, it's because we've moved ``six`` to the ``base.txt``.
        It's good that we didn't forget, that it should be in *base*.
        We might forget next time though.
        
        Why don't we automate it? That's what ``pip-compile-multi`` is for.
        
        Managing dependency versions in multiple environments
        -----------------------------------------------------
        
        Let's rehearse. Example service has two groups of dependencies
        (or, as I call them, environments):
        
        .. code-block:: shell
        
            $ cat requirements/base.in 
            click
            pip-tools
        
            $ cat requirements/test.in 
            -r base.in
            prospector
            pylint
            flake8
            mock
            six
        
        To make automation even more appealing, let's add one more environment.
        I'll call it *local* - things that are needed during development, but are not
        required by tests, or service itself.
        
        .. code-block:: shell
        
            $ cat requirements/local.in 
            -r test.in
            tox
        
        Now we want to put all *base* dependencies along with all their recursive dependencies
        in ``base.txt``,
        all recursive *test* dependencies except for *base* into ``test.txt``,
        and all recursive *local* dependencies except for *base* and *test* into ``local.txt``.
        
        .. code-block:: shell
        
            $ pip-compile-multi
            Locking requirements/base.in to requirements/base.txt. References: []
            Locking requirements/test.in to requirements/test.txt. References: ['base']
            Locking requirements/local.in to requirements/local.txt. References: ['base', 'test']
        
        Yes, that's right. All the tedious dependency versions management job done with
        a single command that doesn't even have options.
        
        Now you can run ``git diff`` to review the changes and ``git commit`` to save them.
        To install the new set of versions run:
        
        .. code-block:: shell
        
            pip install -Ur requirements/local.txt
        
        It's a perfect time to run all the tests and make sure, that updates were
        backward compatible enough for your needs.
        More often than I'd like in big projects, it's not so.
        Let's say the new version of ``pylint`` dropped support of old Python version,
        that you still need to support.
        Than you open ``test.in`` and soft-pin it with descriptive comment:
        
        .. code-block:: shell
        
            $ cat requirements/test.in 
            -r base.in
            prospector
            pylint<1.8  # Newer versions dropped support for Python 2.4
            flake8
            mock
            six
        
        I know, this example is made up. But you get the idea.
        That re-run ``pip-compile-multi`` to compile new ``test.txt`` and check new set.
        
        Benefits of using pip-compile-multi
        -----------------------------------
        
        I want to summarise, why ``pip-compile-multi`` might be a good addition to your project.
        Some of the benefits are achievable with other methods, but I want to be general:
        
        1. Production will not suddenly brake after redeployment because of
           backward incompatible dependency release.
        2. Every development machine will have the same package versions.
        3. Service still uses most recent versions of packages.
           And fresh means best here.
        4. Dependencies are upgraded when the time is suitable for the service,
           not whenever they are released.
        5. Different environments are separated into different files.
        6. ``*.in`` files are small and manageable because they store only direct dependencies.
        7. ``*.txt`` files are exhaustive and precise (but you don't need to edit them).
        
        Features
        --------
        
        ``pip-compile-multi`` supports many options to customize compilation.
        
        Requirements Directory
        ======================
        
        While it's a common practice to put requirements files inside ``requirements`` directory,
        it's not always the case. The directory can be overridden with this option:
        
        .. code-block:: text
        
            -d, --directory TEXT   Directory path with requirements files
        
        Requirements Files Extensions
        =============================
        
        By default ``pip-compile-multi`` compiles ``*.txt`` from ``*.in`` files.
        While this is a common naming pattern, each project can use it's own:
        
        .. code-block:: text
        
            -i, --in-ext TEXT      File extension of input files
            -o, --out-ext TEXT     File extension of output files
        
        Disable upgrades
        ================
        
        When new dependencies are added it's tempting to keep everything else the same.
        To recompile ``.txt`` keeping satisfying version use ``--no-upgrade``:
        
        .. code-block:: text
        
            --upgrade / --no-upgrade    Upgrade package version (default true)
        
        The option does not affect if there are no existing ``.txt`` files.
        
        Compatible Releases
        ===================
        
        `PEP-440`_ describes compatible release operator ``~=``.
        Sometimes it's useful to have some of the dependencies pinned using this operator.
        For example, rapidly changing internal libraries.
        The format for this option is
        
        .. code-block:: text
        
            -c, --compatible TEXT
        
        where TEXT is a `glob`_ pattern for library name.
        This option can be supplied multiple times.
        
        
        .. _glob: https://en.wikipedia.org/wiki/Glob_(programming)
        .. _PEP-440: https://www.python.org/dev/peps/pep-0440/#compatible-release
        
        Generate hashes
        ===============
        
        Put package hash after pinned version for additional security.
        Format for this option is
        
        .. code-block:: text
        
          -g, --generate-hashes TEXT  Environment name (base, test, etc.) that needs
                                      packages hashes. Can be supplied multiple times.
        
        
        Example invocation:
        
        .. code-block:: text
        
            $ pip-compile-multi -g base -g docs
        
        Example output:
        
        .. code-block:: text
        
            pip-tools==1.11.0 \
                --hash=sha256:50288eb066ce66dbef5401a21530712a93c659fe480c7d8d34e2379300555fa1 \
                --hash=sha256:ba427b68443466c389e3b0b0ef55f537ab39344190ea980dfebb333d0e6a50a3
            first==2.0.1 \
                --hash=sha256:3bb3de3582cb27071cfb514f00ed784dc444b7f96dc21e140de65fe00585c95e \
                --hash=sha256:41d5b64e70507d0c3ca742d68010a76060eea8a3d863e9b5130ab11a4a91aa0e \
                # via pip-tools
        
        ``pip`` requires all packages to have hashes if at least one has it.
        ``pip-compile-multi`` will recursively propagate this option to all environments
        that are referencing or referenced by selected environment name.
        
        Custom Header
        =============
        
        ``pip-compile-multi`` adds a brief header into generated files.
        Override it with
        
        .. code-block:: text
        
            -h, --header TEXT      File path with custom header text for generated files
        
        Limit ``.in`` files
        ===================
        
        By default ``pip-compile-multi`` compiles all ``.in`` files in ``requirements`` directory.
        To limit compilation to only a subset, use 
        
        .. code-block:: text
        
            -n, --only-name TEXT        Compile only for passed environment names and
                                        their references. Can be supplied multiple
                                        times.
        
        For example, to compile one file under Python2.7 and another under Python3.6, run:
        
        .. code-block:: text
        
            $ virtual-env27/bin/pip-compile-multi -n deps27
            Locking requirements/deps27.in to requirements/deps27.txt. References: []
            $ virtual-env36/bin/pip-compile-multi -n deps36
            Locking requirements/deps36.in to requirements/deps36.txt. References: []
        
        Forbid .postX release
        =====================
        
        ``pip-compile-multi`` can remove ``.postX`` part of dependencies versions.
        
        .. code-block:: text
        
          -P, --forbid-post TEXT      Environment name (base, test, etc) that cannot
                                      have packages with post-release versions
                                      (1.2.3.post777). Can be supplied multiple times.
        
        Be careful with this option since different maintainers treat post releases differently.
        
        Check that ``pip-compile-multi`` was run after changes in ``.in`` file.
        =======================================================================
        
        ``pip-compile-multi`` adds a special line (before header) at the beginning of each generated file.
        This line contains a SHA1 hash of the ``.in`` file's contents.
        
        Command
        
        .. code-block:: shell
        
            $ pip-compile-multi verify
            Verifying that requirements/base.txt was generated from requirements/base.in.
            Success - comments match.
            Verifying that requirements/test.txt was generated from requirements/test.in.
            Success - comments match.
            Verifying that requirements/local.txt was generated from requirements/local.in.
            Success - comments match.
        
        recalculates hashes for ``.in`` files and compares them with the stored values.
        
        If verification fails, an error message is logged and exit code 1 is returned:
        
        .. code-block:: shell
        
            $ pip-compile-multi verify
            Verifying that requirements/base.txt was generated from requirements/base.in.
            Success - comments match.
            Verifying that requirements/test.txt was generated from requirements/test.in.
            FAILURE!
            Expecting: # SHA1:c93d71964e14b04f3c8327d16dbc4d6b1bbc3b1d
            Found:     # SHA1:6c2562322ca1bdc8309b08581a2aa4efbb5a4534
            Verifying that requirements/local.txt was generated from requirements/local.in.
            Success - comments match.
        
        
        In big teams it might be a good idea to have this check in ``tox.ini``:
        
        .. code-block:: ini
        
            [testenv:deps]
            skip_install = True
            deps = pip-compile-multi
            commands = pip-compile-multi verify
        
        
        Bonus: boilerplate to put in project's README
        ---------------------------------------------
        
        Nice way of introducing dependency management process to new team members for copy-pasting to `README.md`:
        
        .. code-block:: markdown
        
            ## Dependency management
        
            This project uses [pip-compile-multi](https://pypi.org/project/pip-compile-multi/) for hard-pinning dependencies versions.
            Please see its documentation for usage instructions.
            In short, `requirements/base.in` contains the list of direct requirements with occasional version constraints (like `Django<2`)
            and `requirements/base.txt` is automatically generated from it by adding recursive tree of dependencies with fixed versions.
            The same goes for `test` and `dev`.
        
            To upgrade dependency versions, run `pip-compile-multi`.
        
            To add a new dependency without upgrade, add it to `requirements/base.in` and run `pip-compile-multi --no-upgrade`.
        
            For installation always use `.txt` files. For example, command `pip install -Ue . -r requirements/dev.txt` will install
            this project in development mode, testing requirements and development tools.
            Another useful command is `pip-sync requirements/dev.txt`, it uninstalls packages from your virtualenv that aren't listed in the file.
        
        
        Have fun!
        ---------
        
        Now that occasional backward incompatible dependency release can't ruin your day,
        you can **spread the word** about ``pip-compile-multi``, ask for a new feature in a `GitHub issue`_,
        or even open a PR ;-).
        
        [1] That's not true. Someone could re-upload broken package
        under existing version on PyPI.
        
        .. _Pip Tools: https://github.com/jazzband/pip-tools
        .. _PipEnv: https://github.com/pypa/pipenv
        .. _GitHub issue: https://github.com/peterdemin/pip-compile-multi/issues
        
        
        History
        =======
        
        1.3.0 (2018-12-27)
        ------------------
        
        * Introduced CLI v2 (disabled by default)
        
        
        1.2.2 (2018-11-20)
        ------------------
        
        * Remove workaround for future[s] packages in Python3 (no longer needed)
        
        1.2.1 (2018-04-16)
        -------------------
        
        * Fixed Restructured text formatting (thanks to @yigor)
        * Updated test dependencies (and hashes)
        
        1.2.0 (2018-04-03)
        -------------------
        
        * Added --forbid-post option
        
        1.1.12 (2018-02-23)
        -------------------
        
        * Added checks for conflicting package versions
        * Added support for VCS dependencies
        * Added --no-upgrade option
        
        1.1.11 (2018-02-09)
        -------------------
        
        * Propagate --only-name option to references
        * Fixed extension override options
        
        1.1.10 (2018-02-09)
        -------------------
        
        * Added ``--generate-hashes`` option
        
        1.1.9 (2018-02-08)
        ------------------
        
        * Fixed directory override option
        * Added --only-name option
        
        1.1.8 (2018-01-25)
        ------------------
        
        * Fixed comment justification
        
        1.1.6 (2018-01-19)
        ------------------
        
        * Added ``pip-compile-multi verify`` command
        
        1.1.5 (2018-01-16)
        ------------------
        
        * Omit future[s] packages for Python3
        
        1.1.0 (2018-01-12)
        ------------------
        
        * Added files discovery.
        
        1.0.0 (2018-01-11)
        ------------------
        
        * First release on PyPI.
        
Keywords: pip-compile-multi
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Environment :: Console
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Utilities
