Pipenv is not recognized as an internal or external command, operable program or batch file.

Joseph Morakinyo Asks: Writing a custom user authentication with email using django
This code is to create a custom authentication which accepts email and password to login instead of username and password.

Anytime i use the "python manage.py createsuperuser" and input my details, i always get an error message which says: "return self._create_user(email, password, first_name, last_name, mobile, password, **extra_fields) TypeError: CustomUserManager._create_user() takes 6 positional arguments but 7 were given"

How do i go about this

models.py

Code:

from django.db import models from datetime import datetime from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin, BaseUserManager class CustomUserManager(BaseUserManager): def _create_user(self, email, password, first_name, last_name, mobile, **extra_fields): if not email: raise ValueError("Email must be provided") if not password: raise ValueError("Password must be provided") user = self.model( email = self.normalize_email(email), first_name = first_name, last_name = last_name, mobile = mobile, **extra_fields, ) user.set_password(password) user.save(using=self._db) return user def create_user(self, email, password, first_name, last_name, mobile, **extra_fields): extra_fields.setdefault("is_active", True) extra_fields.setdefault("is_staff", True) extra_fields.setdefault("is_superuser", False) return self._create_user(email, password, first_name, last_name, mobile, password, **extra_fields) def create_superuser(self, email, password, first_name, last_name, mobile, **extra_fields): extra_fields.setdefault("is_active", True) extra_fields.setdefault("is_staff", True) extra_fields.setdefault("is_superuser", True) return self._create_user(email, password, first_name, last_name, mobile, password, **extra_fields) class User(AbstractBaseUser, PermissionsMixin): email = models.EmailField(db_index=True, unique=True, max_length=254) first_name = models.CharField(max_length=250) last_name = models.CharField(max_length=250) mobile = models.CharField(max_length=50) address = models.CharField(max_length=250) is_staff = models.BooleanField(default=True) is_superuser = models.BooleanField(default=True) is_superuser = models.BooleanField(default=False) objects = CustomUserManager() USERNAME_FIELD = 'email' REQUIRED_FIELDS = ['first_name', 'last_name', 'mobile'] class Meta: verbose_name = "User" verbose_name_plural = "Users"

settings.py

Code:

AUTH_USER_MODEL = "myappname.User"

These are the important parts of the code.

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Pipenv is a tool that provides all necessary means to create a virtual environment for your Python project. It automatically manages project packages through the Pipfile file as you install or uninstall packages.

Pipenv also generates the Pipfile.lock file, which is used to produce deterministic builds and create a snapshot of your working environment. This might be particularly helpful for security sensitive deployment, when project requirements and packages versions are critical. For more details about pipenv, see project documentation at pipenv.kennethreitz.org/.

To use Pipenv with PyCharm, you need to implement several preparation steps.

Install Pipenv

  1. Run the following command to ensure you have pip installed in your system:

    $ pip --version

    You should expect to receive a system response indicating the pip version. If no pip is discovered, install it as described in the Installation Instructions. Alternatively, you can download and install Python from http://python.org.

  2. Install pipenv by running the following command:

    $ pip install --user pipenv

    When installation completes, you will see the following message:

    Pipenv is not recognized as an internal or external command, operable program or batch file.
  3. For your convenience, you might add the user base’s binary directory to your PATH environmental variable. If you skip this procedure, PyCharm will prompt you to specify the path to the pipenv executable when adding a pipenv environment.

    1. Run the following command:

      $ py -m site --user-site

      A sample output can be:

      C:\Users\jetbrains\AppData\Roaming\Python\Python37\site-packages

    2. Replace site-packages with Scripts in this path to receive a string for adding to the PATH variable, for example:

      $ setx PATH "%PATH%;C:\Users\jetbrains\AppData\Roaming\Python\Python37\Scripts"

    1. Run the following command to find the user base's binary directory:

      $ python -m site --user-base

      An example of output can be

      /Users/jetbrains/.local (masOS) or /home/jetbrains/.local (Linux)

    2. Add bin to this path to receive a string for adding to the ~/.bashrc file, for example:

      $ export PATH="$PATH:/Users/jetbrains/.local/bin"

    3. Run the following command to make the changes effective:

      $ source ~/.bashrc

    4. Ensure you have enabled bashrc in your bash_profile.

At any time you can alter the specified path to the pipenv executable in the project settings. In the Settings/Preferences dialog (Ctrl+Alt+S), navigate to , and type the target path in the Path ot Pipenv executable field.

After the preparation steps are done, you can use pipenv to create a virtual environment for new or existing projects.

Set pipenv for a new Python project

  1. Initiate creating a new Python project as described in Creating a pure Python project.

  2. In the New Project dialog, click

    Pipenv is not recognized as an internal or external command, operable program or batch file.
    to expand the Python Interpreter node, select New environment using, and from the list of available virtual environments select Pipenv.

    Pipenv is not recognized as an internal or external command, operable program or batch file.
  3. If you have added the user base’s 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.

    Pipenv is not recognized as an internal or external command, operable program or batch file.
  4. Click OK to complete the task.

  5. If you have not modified the PATH variable, PyCharm shows an error message: Pipenv executable is not found. Discover the proper executable path as described in the pipenv installation procedure and enter the target string in the Pipenv executable field, for example: C:\Users\jetbrains\AppData\Roaming\Python\Python37\Scripts\pipenv.exe (Windows) or /Users/jetbrains/.local/bin/pipenv (macOS).

    Click OK to save the changes and complete the task.

You can also set up pipenv for any of your earlier created projects.

Configure pipenv for an existing Python project

  1. Do one of the following:

    • Click the Python Interpreter selector and choose Add New Interpreter.

    • Press Ctrl+Alt+S to open the project Settings/Preferences and go to . Click the Add Interpreter link next to the list of the available interpreters.

  2. Select Add Local Interpreter from the list of the available interpreter types.

    Pipenv is not recognized as an internal or external command, operable program or batch file.
  3. In the left-hand pane of this dialog, click Pipenv Environment.

    Pipenv is not recognized as an internal or external command, operable program or batch file.
  4. If you have added the user base’s 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 you see the Pipenv executable is not found error message, follow the pipenv installation procedure to discover the executable path and add it to the Pipenv executable field.

  5. Click OK to complete the task.

Once all the steps are done, the new pipenv environment is set for your project and the packages listed in the Pipfile are installed.

If you open a project with a Pipfile file added but no any interpreter configured, PyCharm offers you to use Pipenv environment.

Pipenv is not recognized as an internal or external command, operable program or batch file.

If you select this option, PyCharm sets pipenv for you automatically. Alternatively, you can click Configure Python interpreter to follow the standard workflow.

Similarly, when you open a project with a Pipfile file in PyCharm for the very first time, for example, by checking it out from the Version Control, the Pipenv virtual environment will be configured automatically.

When you have set the Pipenv virtual environment as a Python interpreter, all available packages are added from the source defined in Pipfile. The packages are installed, removed, and updated in the list of the packages through pipenv rather than through pip.

PyCharm can create a Pipenv environment for your project based on the project requirements recorded in the Pipfile.

Create an environment using the Pipfile

  1. Open any directory with your source files that contains the Pipenv file: select from the main menu and choose the directory.

  2. If no any environment has been created for this project, PyCharm suggests creating it:

    Pipenv is not recognized as an internal or external command, operable program or batch file.
  3. If PyCharm cannot autodetect the pipenv executable, specify a path to it. Click OK to complete the task.

Once you click OK, PyCharm creates an environment and installs all the required packages.

Note that if you ignore a suggestion to create a pipenv environment, PyCharm won't create a Python interperter for your project. So, any time when you open a .py file, you'll see the warning with the options for configuring a project interpreter:

Pipenv is not recognized as an internal or external command, operable program or batch file.

For any of the configured Python interpreters (but Docker-based), you can:

  • Install and Uninstall the interpreter paths

  • Install and Uninstall the interpreter packages

Last modified: 09 August 2022

How do I install Pipenv globally on Windows?

First, open the Command Prompt or Windows Powershell and type the following command..
python -V..
Python 3.8.5. ... .
pip -V..
pip 20.2.4 from C:\Users\\AppData\Roaming\Python\Python38\site-packages\pip (python 3.8) ... .
pip install pipenv..

How do I know if Pipenv is installed on Windows?

To see installed packages with Pipenv, you can use the pipenv graph command. The output from this is perhaps more verbose than you'd like, but it does contain everything you need. I think this is more useful if you want to keep track of your dependencies. Also this helped me to verify that pip list does the work fine.

How do I enable Pipenv in Python?

To activate the environment, just navigate to your project directory and use pipenv shell to launch a new shell session or use pipenv run to run a command directly.

Where is the Pipenv executable?

Discover the proper executable path as described in the pipenv installation procedure and enter the target string in the Pipenv executable field, for example: C:\Users\jetbrains\AppData\Roaming\Python\Python37\Scripts\pipenv.exe (Windows) or /Users/jetbrains/. local/bin/pipenv (macOS).