Creating a Project
To create a new project, use New Project in the Project menu. This dialog prompts you to select or create a source directory to use with your new project (either on the local host or a remote system), and to select or create a Python environment. You will also be able to specify a revision control repository to clone into a newly created directory, and any packages to install into a newly created Python environment. The Python environment may be a base Python install, a virtualenv, an environment managed by Poetry or pipenv, an Anaconda env, or an container environment managed by Docker, Docker Compose, Vagrant, or LXC/LXD.
Note that Wing Personal omits the ability to create a new Python environment from the New Project dialog and can only work with files and projects on the local host.
Select the Host
The first step is to select the host where your source directory will be located. The default is the local host. Any remote host, VM, or container that is accessible by ssh may also be used with Wing's remote development capability. If you wish to access a remote system for which you don't already have a remote host configuration, you can add one with Create Configuration in the Host popup menu.
Note that if you are using containers you will want to select Local Host since the master copy of your source directory is stored locally. You can configure and select the containerized Python environment later in the project creation process.
Select the Source Directory
Next you will select whether you plan to use an existing source directory or create a new one. The options are:
(1) Create Blank Project creates a new empty untitled project for subsequent manual configuration. When this value is selected the dialog's Next button is replaced with Create Project and the project is created immediately from there.
(2) Use Existing Directory allows you to select an existing source directory from the host selected above. This directory will be added to your project and scanned to detect whether it implies the Python environment that should be used by your project. If a virtualenv is found in the top level of the directory, in .venv or venv inside the directory, or if the directory is managed by Poetry or pipenv, then Wing changes the Next button in the dialog to Create Project and creates the project immediately using the found Python environment.
(3) Create New Directory -- will create a new directory with selected name and parent directory. You may optionally choose to clone a revision control repository into the new directory and select a test framework to use with it.
Whether using an existing directory or creating a new one, Project Type may be selected for certain commonly used Python frameworks. This causes Wing to configure the project in ways specific to that framework. For example, for Flask child process debugging is enabled so Flasks's reload feature may be used with Wing's debugger, Django enables debugging of Django templates, and SciPy and others enable special support for interactive plots.
Select the Python Environment
Unless you are creating a new blank project or using an existing directory that implies the Python environment to use, you will be presented with options for selecting or creating a Python environment after pressing the Next button in the New Project dialog. The options here are:
(1) Use Existing Python selects an existing Python installation, virtualenv or Anaconda environment, or an existing container or cluster such as those provided by Docker, Docker Compose, and LXC/LXD.
Use Default selects the latest found Python version on your system.
Command Line is used to select an existing base installation of Python. You will need to enter the full path to the python, python2, python3, or python.exe executable. This is the value of sys.executable after import sys in the Python you wish to use. Wing presents a menu of found Python installations in the drop down to the right of the entry area.
Activated Env activates and uses a virtualenv or Anaconda environment. You will need to enter the full path to the activate or activate.bat for a virtualenv, or the Anaconda environment's activate command. Recently used and found environments are listed in the drop down menu to the right of the entry area. Note that an activated env will not work if the full path to the activate command contains spaces. In that case, use the Command Line option as described above.
Container uses an existing Python container managed by Docker or LXC/LXD. You will need to select an existing container configuration or add a new one with the New button. Adding a new configuration here tells Wing how to use your existing container but does not create a new container environment. To create a new container environment, select Create New Environment as described below.
Cluster works in a similar way, but for clusters of Python containers managed by Docker Compose.
See Working with Containers and Clusters for more information on using containers and clusters in Wing Pro.
(2) Create New Environment creates a new Python environment along with your project. You can select the type of environment from the popup that appears when this option is chosen. Environments may be managed by virtualenv, Poetry, pipenv, Anaconda's conda, or Docker. Each of these choices displays a different environment creation form, as described in the next section.
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