conan: A Python repository from srmish-jfrog

Conan

Decentralized, open-source (MIT), C/C++ package manager.

Homepage: https://conan.io/
Github: https://github.com/conan-io/conan
Docs: https://docs.conan.io/en/latest/
Slack: https://cpplang-inviter.cppalliance.org/ (#conan channel)
Twitter: https://twitter.com/conan_io

Conan is a package manager for C and C++ developers:

It is fully decentralized. Users can host their packages on their servers, privately. Integrates with Artifactory and Bintray.
Portable. Works across all platforms, including Linux, OSX, Windows (with native and first-class support, WSL, MinGW), Solaris, FreeBSD, embedded and cross-compiling, docker, WSL
Manage binaries. It can create, upload and download binaries for any configuration and platform, even cross-compiling, saving lots of time in development and continuous integration. The binary compatibility can be configured and customized. Manage all your artifacts in the same way on all platforms.
Integrates with any build system, including any proprietary and custom one. Provides tested support for major build systems (CMake, MSBuild, Makefiles, Meson, etc).
Extensible: Its python based recipes, together with extensions points allows for great power and flexibility.
Large and active community, especially in Github (https://github.com/conan-io/conan) and Slack (https://cpplang-inviter.cppalliance.org/ #conan channel). This community also creates and maintains packages in ConanCenter and Bincrafters repositories in Bintray.
Stable. Used in production by many companies, since 1.0 there is a commitment not to break package recipes and documented behavior.

develop	Code Climate

Setup

Please read https://docs.conan.io/en/latest/installation.html to know how to install and start using Conan. TL;DR:

$ pip install conan

Install a development version

You can run Conan client and server in Windows, MacOS, and Linux.

Install pip following pip docs.

Clone Conan repository:

$ git clone https://github.com/conan-io/conan.git conan-io

NOTE: repository directory name matters, some directories are known to be problematic to run tests (e.g. conan). conan-io directory name was tested and guaranteed to be working.

Install in editable mode
```
$ cd conan-io && sudo pip install -e .
```
If you are in Windows, using sudo is not required.

You are ready, try to run Conan:

$ conan --help

Consumer commands
  install    Installs the requirements specified in a recipe (conanfile.py or conanfile.txt).
  config     Manages Conan configuration.
  get        Gets a file or list a directory of a given reference or package.
  info       Gets information about the dependency graph of a recipe.
  search     Searches package recipes and binaries in the local cache or a remote. Unless a
             remote is specified only the local cache is searched.
Creator commands
  new        Creates a new package recipe template with a 'conanfile.py' and optionally,
             'test_package' testing files.
  create     Builds a binary package for a recipe (conanfile.py).
  upload     Uploads a recipe and binary packages to a remote.
  export     Copies the recipe (conanfile.py & associated files) to your local cache.
  export-pkg Exports a recipe, then creates a package from local source and build folders.
  test       Tests a package consuming it from a conanfile.py with a test() method.
Package development commands
  source     Calls your local conanfile.py 'source()' method.
  build      Calls your local conanfile.py 'build()' method.
  package    Calls your local conanfile.py 'package()' method.
  editable   Manages editable packages (packages that reside in the user workspace, but are
             consumed as if they were in the cache).
  workspace  Manages a workspace (a set of packages consumed from the user workspace that
             belongs to the same project).
Misc commands
  profile    Lists profiles in the '.conan/profiles' folder, or shows profile details.
  remote     Manages the remote list and the package recipes associated with a remote.
  user       Authenticates against a remote with user/pass, caching the auth token.
  imports    Calls your local conanfile.py or conanfile.txt 'imports' method.
  copy       Copies conan recipes and packages to another user/channel.
  remove     Removes packages or binaries matching pattern from local cache or remote.
  alias      Creates and exports an 'alias package recipe'.
  download   Downloads recipe and binaries to the local cache, without using settings.
  inspect    Displays conanfile attributes, like name, version, and options. Works locally,
             in local cache and remote.
  help       Shows help for a specific command.
  lock       Generates and manipulates lock files.
  frogarian  Conan The Frogarian

Conan commands. Type "conan <command> -h" for help

Contributing to the project

Feedback and contribution are always welcome in this project. Please read our contributing guide. Also, if you plan to contribute, please add some testing for your changes. You can read the Conan tests guidelines section for some advise on how to write tests for Conan.

Running the tests

Using tox

$ python -m tox

It will install the needed requirements and launch pytest skipping some heavy and slow tests. If you want to run the full test suite:

$ python -m tox -e full

Without tox

Install python requirements

$ python -m pip install -r conans/requirements.txt
$ python -m pip install -r conans/requirements_server.txt
$ python -m pip install -r conans/requirements_dev.txt

If you are not Windows and you are not using a python virtual environment, you will need to run these commands using sudo.

Before you can run the tests, you need to set a few environment variables first.

$ export PYTHONPATH=$PYTHONPATH:$(pwd)

On Windows it would be (while being in the Conan root directory):

$ set PYTHONPATH=.

Ensure that your cmake has version 2.8 or later. You can see the version with the following command:

$ cmake --version

The appropriate values of CONAN_COMPILER and CONAN_COMPILER_VERSION depend on your operating system and your requirements.

These should work for the GCC from build-essential on Ubuntu 14.04:

$ export CONAN_COMPILER=gcc
$ export CONAN_COMPILER_VERSION=4.8

These should work for OS X:

$ export CONAN_COMPILER=clang
$ export CONAN_COMPILER_VERSION=3.5

You can run the actual tests like this:

$ python -m pytest .

There are a couple of test attributes defined, as slow that you can use to filter the tests, and do not execute them:

$ python -m pytest . -m "not slow"

A few minutes later it should print OK:

............................................................................................
----------------------------------------------------------------------
Ran 146 tests in 50.993s

OK

To run specific tests, you can specify the test name too, something like:

$ python -m pytest conans/test/unittests/client/cmd/export_test.py::ExportTest::test_export_warning -s

The -s argument can be useful to see some output that otherwise is captured by pytest.

Also, you can run tests against an instance of Artifactory. Those tests should add the attribute artifactory_ready.

$ python -m pytest . -m artifactory_ready

Some environment variables have to be defined to run them. For example, for an Artifactory instance that is running on the localhost with default user and password configured, the variables could take the values:

$ export CONAN_TEST_WITH_ARTIFACTORY=1
$ export ARTIFACTORY_DEFAULT_URL=http://localhost:8081/artifactory
$ export ARTIFACTORY_DEFAULT_USER=admin
$ export ARTIFACTORY_DEFAULT_PASSWORD=password

ARTIFACTORY_DEFAULT_URL is the base url for the Artifactory repo, not one for a specific repository. Running the tests with a real Artifactory instance will create repos on the fly so please use a separate server for testing purposes.

License

MIT LICENSE

srmish-jfrog/conan