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 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. SolveForum.com may not be responsible for the answers or solutions given to any question asked by the
users. All Answers or responses are user generated answers and we do not have proof of its validity or correctness. Please vote for the answer that helped you in order to help others find out which is the most helpful answer. Questions labeled as solved may be solved or may not be solved depending on the type of question and the date posted for some posts may be scheduled to be deleted periodically. Do not hesitate to share your thoughts here to help others. 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
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
You can also set up pipenv for any of your earlier created projects. Configure pipenv for an existing Python project
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. 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
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: For any of the configured Python interpreters (but Docker-based), you can:
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\ 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
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).
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