Creating Pyramid Project

Create a Pyramid project

1. In the main menu, go to File | New Project, or click the New Project button in the Welcome screen.

   

2. In the New Project dialog, do the following:

   • Select Pyramid as the project type.

   • Specify the project location.

   • Select Create Git repository to put the project under Git version control.

3. If you want to proceed with the Project venv or Base conda interpreter, select the corresponding option and click Create.

   Project venv

   PyCharm creates a virtualenv environment based on the system Python in the project folder.

   Base conda

   PyCharm configures conda base environment as the project interpreter.

   To configure an interpreter of another type or to use an existing environment, select Custom environment.

   The following steps depend on your choice:

   

   • Select the Python version from the list.

   • Specify the environment name.

   • Normally, PyCharm will detect conda installation.

     Otherwise, specify the location of the conda executable, or click to browse for it.

   

   • Select the base interpreter from the list, or click and find the Python executable in your file system.

   • Specify the location of the new virtual environment in the Location field, or click and browse for the location in your file system. The directory for the new virtual environment should be empty.

   • Select the Inherit global site-packages checkbox if you want all packages installed in the global Python on your machine to be added to the virtual environment you're going to create. This checkbox corresponds to the --system-site-packages option of the virtualenv tool.

   • Select the Make available to all projects checkbox if you want to reuse this environment when creating Python interpreters in PyCharm.

   

   Select the base interpreter from the list, or click and find the Python executable in your file system.

   If you have added the base binary directory to your PATH environmental variable, you don't need to set any additional options: the path to the pipenv executable will be autodetected.

   If PyCharm doesn't detect the pipenv executable, click Install pipenv via pip to allow PyCharm to install it for you automatically.

   Alternatively, follow the pipenv installation procedure to discover the executable path, and then specify it in the dialog.

   

   Select the base interpreter from the list or click and find the Python executable in your file system.

   If PyCharm doesn't detect the poetry executable, click Install poetry via pip to allow PyCharm to install poetry for you automatically.

   Alternatively, click Select path and choose the required file manually or specify the following path in the dialog, replacing jetbrains with your username:

   /Users/jetbrains/Library/Application Support/pypoetry/venv/bin/poetry

   C:\Users\jetbrains\AppData\Roaming\pypoetry\venv\Scripts\poetry.exe

   /home/jetbrains/.local/bin/poetry

   

   To reuse an existing conda environment:

   • Switch Type to Conda.

   • Normally, PyCharm will detect conda installation.

     Otherwise, specify the location of the conda executable, or click to browse for it.

   • Select the environment from the list. If you specified the path to conda manually, you may need to reload environments.

   

   To reuse a Virtualenv, Pipenv, or Poetry environment:

   • Switch Type to Python.

   • Select the Python executable from the list or click to browse for it.

4. Click More Settings, and specify the following:

   • Specify the name of the Pyramid project in the Project name field.

   • From the Template language list, select the language to be used.

   • From the Backend list, select a backend for Pyramid cookiecutters. The possible options are:

     • None: URL dispatch for routing

     • SQLAlchemy: SQLite for persistent storage, SQLAlchemy for an ORM, URL dispatch for routing, and Alembic for database migrations

     • ZODB: ZODB for persistent storage and traversal for routing

5. Click Create.

6. If the following alert pops up, click No.

   

   PyCharm creates a project, installs Pyramid and its dependencies, and produces specific directory structure, which you can explore in the Project tool window. Open any file in the project directory. If there are unsatisfied package requirements, PyCharm suggests to resolve or ignore them:

   

   You should install the dependencies to be able to run the development server.

   When you create a Pyramid project, you must run setup.py develop to install the project for development. PyCharm might inform you to do so as shown in the screenshot below:

   

   Alternatively, you can select Tools | Run setup.py Task... and enter develop. Another popup appears Run Setup Task develop. Click OK.

   If you created an alchemy-based project, you need to initialise the database, open the terminal (make sure virtual environment is active) and run the command:

   initialize_PROJECTNAME_db development.ini

   (Replace PROJECTNAME with your exact project name.)