How to install Django using source code in virtual environment? - python

My environment is in /home/karan/envs/ and is called env1. My working directory is /home/karan/ and django is on the desktop.
How can I install django in my environment using the local copy? Please tell me where I should cd so the installation is smooth.
Will sudo python setup.py install when the environment is activated work? Can that change my system files?

You can do it like this:
First Activate your virtual environment
cd into the project folder
then do python setup.py install
FYI you can use pip to install django.
pip install Django

The best way to start with a django project is keep all your requirements inside requirements.txt file. Then install it from pip.
For ex:- create a text file with the name as requirements.txt.
Inside that write all your requirements as below
Django==1.4
MySQL-python==1.2.3
ipython==0.13
Then save it.
Activate your env using this command: source test_env/bin/activate
Then use this command: pip install -r requirements.txt
It will install all your requirements inside the environment. Then you can run your project from env.
Hope this helps

Related

Do we need to upload virtual env on github too?

This is my GitHub repo
https://github.com/imsaiful/backmyitem
I push from my local machine and pull the changes in Amazon EC2.
Earlier I have not added the virtual env file in my repo but now I have changed some file in admin directory which is containing in the virtual env. So should I go for to add the virtual env too on my GitHub or instead I change the same thing on my remote server manually?
As was mentioned in a comment it is standard to do this through a requirements.txt file instead of including the virtualenv itself.
You can easily generate this file with the following:
pip freeze > requirements.txt
You can then install the virtualenv packages on the target machine with:
pip install -r requirements.txt
It is important to note that including the virtualenv will often not work at all as it may contain full paths for your local system. It is much better to use a requirements.txt file.
No - although the environment is 100% there, if someone else where to pull it down the path environment hasn't been exported not to mention Python version discrepancies will likely crop up.
The best thing to do is to create what is known as a requirements.txt file.
When you have created your environment, you can pip install this and pip install that. You'll start to built a number of project specific dependencies.
Once you start to build up a number of project dependencies I would then freeze your local python environment (analogoues to a package.json for node.js package dependency management). I would recommend doing the following in your terminal:
(local_python_environment) $ pip install django && pip freeze > requirements.txt
(local_python_environment) $ pip install requests && pip freeze > requirements.txt
That is to say, freeze your environment to a requirements.txt file every time a new dependency is installed.
Once a collaborator pulls down your project - they can then install a fresh python environment:
$ python3 -m venv local_python_environment
(* Please use Python 3 and not Python 2!)
And then activate that environment and install from your requirements.txt which you have included in your version control:
$ source local_python_environment/bin/activate
(local_python_environment) $ pip install -r requirements.txt
Excluding your virtual environment is probably analogous to ignoring node_modules! :)
No Its not necessary to upload virtualenv file on github. and even some time when you push your code to github then it ignore python file only if add into ignore.
Virtual Environment
Basically virtual environment is nothing but itis a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them. This is one of the most important tools that most of the Python developers use. Apart from that you can add requirement.txt file into your project.
Requirement.txt
It is file that tells us to which library and application are need to run this application. you can add requirement.txt file with this simple command.
pip freeze > requirements.txt
After run this command all application and library add in this file. and if you make your project without activate any virtualenv then python automatically use system environment variable it will also add all the file that not necessary for your project.
You should add the virtualenv in your gitignore. Infact github has a recommended format for python, which files should be added and which shouldn't
Github recommendation for gitignore

Does python pip have the equivalent of node's package.json?

In NodeJS's npm you can create a package.json file to track your project dependencies. When you want to install them you just run npm install and it looks at your package file and installs them all with that single command.
When distributing my code, does python have an equivalent concept or do I need to tell people in my README to install each dependency like so:
pip install package1
pip install package2
Before they can use my code?
Once all necessary packages are added
pip freeze > requirements.txt
creates a requirement file.
pip install -r requirements.txt
installs those packages again, say during production.
The best way may be pipenv! I personally use it!
However in this guide i'll explain how to do it with just python and pip! And without pipenv! That's the first part! And it will give us a good understanding about how pipenv works! There is a second part that treat pipenv! Check the section pipenv (The more close to npm).
Python and pip
To get it all well with python! Here the main elements:
virtual environment
requirements file (listing of packages)
pip freeze command
How to install packages from a requirements file
Virtual environment and why
Note that for this the package venv is to be used! It's the official thing! And shiped with python 3 installation starting from 3.3+ !
To know well the what is it and the why check this out
https://docs.python.org/3/tutorial/venv.html
In short! A virtual environment will help us manage an isolated version of python interpreter! And so too installed packages! In this way! Different project will not have to depends on the same packages installation and have to conflict! Read the link above explain and show it well!
... This means it may not be possible for one Python installation to meet the requirements of every application. If application A needs version 1.0 of a particular module but application B needs version 2.0, then the requirements are in conflict and installing either version 1.0 or 2.0 will leave one application unable to run.
You may like to check the explanation on flask framework doc!
https://flask.palletsprojects.com/en/1.1.x/installation/#virtual-environments
Why we care about this and should use it! To isolate the projects! (each have it's environment)! And then freeze command will work per project base! Check the last section
Usage
Here a good guide on how to setup and work:
https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
Check the installation section first!
Then
To create a virtual environment you go to your project directory and run:
On macOS and Linux:
> python3 -m venv env
On Windows:
> py -m venv env
Note You should exclude your virtual environment directory from your version control system using .gitignore or similar.
To start using the environment in the console, you have to activate it
https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#activating-a-virtual-environment
On macOS and Linux:
> source env/bin/activate
On Windows:
> .\env\Scripts\activate
See the part on how you check that you are in the environment (using which (linux, unix) or where (windows)!
To deactivate you use
> deactivate
Requirement files
https://pip.pypa.io/en/latest/user_guide/#requirements-files
“Requirements files” are files containing a list of dependencies to be installed using pip install like so
(How to Install requirements files)
pip install -r requirements.txt
Requirements files are used to hold the result from pip freeze for the purpose of achieving repeatable installations. In this case, your requirement file contains a pinned version of everything that was installed when pip freeze was run.
python -m pip freeze > requirements.txt
python -m pip install -r requirements.txt
Some of the syntax:
pkg1
pkg2==2.1.0
pkg3>=1.0,<=2.0
== for precise!
requests==2.18.4
google-auth==1.1.0
Force pip to accept earlier versions
ProjectA
ProjectB<1.3
Using git with a tag (fixing a bug yourself and not waiting)
git+https://myvcs.com/some_dependency#sometag#egg=SomeDependency
Again check the link https://pip.pypa.io/en/latest/user_guide/#requirements-files
I picked all the examples from them! You should see the explanations! And details!
For the format details check: https://pip.pypa.io/en/latest/cli/pip_install/#requirements-file-format
Freeze command
Pip can export a list of all installed packages and their versions using the freeze comman! At the run of the command! The list of all installed packages in the current environment get listed!
pip freeze
Which will output something like:
cachetools==2.0.1
certifi==2017.7.27.1
chardet==3.0.4
google-auth==1.1.1
idna==2.6
pyasn1==0.3.6
pyasn1-modules==0.1.4
requests==2.18.4
rsa==3.4.2
six==1.11.0
urllib3==1.22
We can write that to a requirements file as such
pip freeze > requirements.txt
https://pip.pypa.io/en/latest/cli/pip_freeze/#pip-freeze
Installing packages Resume
By using venv (virtual environment) for each project! The projects are isolated! And then freeze command will list only the packages installed on that particular environmnent! Which make it by project bases! Freeze command make the listing of the packages at the time of it's run! With the exact versions matching! We generate a requirements file from it (requirements.txt)! Which we can add to a project repo! And have the dependencies installed!
The whole can be done in this sense:
Linux/unix
python3 -m venv env
source env/bin/activate
pip3 install -r requirements.txt
Windows
py -m venv env
.\env\Scripts\activate
pip3 install -r requirements.txt
First time setup after cloning a repo!
Creating the new env!
Then activating it!
Then installing the needed packages to it!
Otherwise here a complete guide about installing packages using requiremnets files and virtual environment from the official doc: https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
This second guide show all well too: https://docs.python.org/3/tutorial/venv.html
Links listing (already listed):
https://pip.pypa.io/en/latest/user_guide/#requirements-files
https://pip.pypa.io/en/latest/cli/pip_install/#requirements-file-format
https://pip.pypa.io/en/latest/cli/pip_freeze/#pip-freeze
pipenv (The more close to npm)
https://pipenv.pypa.io/en/latest/
pipenv is a tool that try to be like npm for python! Is a super set of pip!
pipenv create virtual environment for us! And manage the dependencies!
A good feature too is the ability to writie packages.json like files! With scripts section too in them!
Executing pipfile scripts
run python command with alias in command line like npm
Installation
https://pipenv.pypa.io/en/latest/install/
virtualenv-mapping-caveat
https://pipenv.pypa.io/en/latest/install/#virtualenv-mapping-caveat
For me having the env created within the project (just like node_modules) should be even the default! Make sure to activate it! By setting the environment variable!
pipenv can seems just more convenient!
Mainly managing run scripts is too good to miss on! And a one tool that simplify it all!
Basic usage and comparing to npm
https://pipenv.pypa.io/en/latest/basics/
(make sure to check the guide above to get familiar with the basics)
Note that the equivalent of npm package.json is the PipFile file!
An example:
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
flask = "*"
simplejson = "*"
python-dotenv = "*"
[dev-packages]
watchdog = "*"
[scripts]
start = "python -m flask run"
[requires]
python_version = "3.9"
There is Pipfile.lock like package.lock
To run npm install equivalent! You run pipenv install!
To insall a new package
pipenv install <package>
This will create a Pipfile if one doesn’t exist. If one does exist, it will automatically be edited with the new package you provided.
Just like with npm!
$ pipenv install "requests>=1.4" # will install a version equal or larger than 1.4.0
$ pipenv install "requests<=2.13" # will install a version equal or lower than 2.13.0
$ pipenv install "requests>2.19" # will install 2.19.1 but not 2.19.0
If the PIPENV_VENV_IN_PROJECT=1 env variable is set! To make pipenv set the virtual environmnent within the project! Which is created in a directory named .venv (equiv to node_modules).
Also running pipenv install without a PipFile in the directory! Neither a virtual environment! Will create the virtual environment on .venv directory (node_modules equiv)! And generate a PipFile and Pipfile.lock!
Installing flask example:
pipenv install flask
Installing as dev dependency
pipenv install watchdog -d
or
pipenv install watchdog -dev
just like with npm!
pipenv all commands (pipenv -h)
Commands:
check Checks for PyUp Safety security vulnerabilities and against PEP
508 markers provided in Pipfile.
clean Uninstalls all packages not specified in Pipfile.lock.
graph Displays currently-installed dependency graph information.
install Installs provided packages and adds them to Pipfile, or (if no
packages are given), installs all packages from Pipfile.
lock Generates Pipfile.lock.
open View a given module in your editor.
run Spawns a command installed into the virtualenv.
scripts Lists scripts in current environment config.
shell Spawns a shell within the virtualenv.
sync Installs all packages specified in Pipfile.lock.
uninstall Uninstalls a provided package and removes it from Pipfile.
update Runs lock, then sync.
Command help
pipenv install -h
importing from requirements.txt
https://pipenv.pypa.io/en/latest/basics/#importing-from-requirements-txt
environment management with pipenv
https://pipenv.pypa.io/en/latest/basics/#environment-management-with-pipenv
pipenv run
To run anything with the project virtual environment you need to use pipenv run
As like pipenv run python server.py!
Custom scripts shortcuts
scripts in npm!
https://pipenv.pypa.io/en/latest/advanced/#custom-script-shortcuts
[scripts]
start = "python -m flask run"
And to run
pipenv run start
Just like with npm!
If you’d like a requirements.txt output of the lockfile, run $ pipenv lock -r. This will include all hashes, however (which is great!). To get a requirements.txt without hashes, use $ pipenv run pip freeze.
To mention too the pipenv cli rendering is well done:
Make sure to read the basics guide!
And you can see how rich is pipenv!
Yes, it's called the requirements file:
https://pip.pypa.io/en/stable/cli/pip_install/#requirement-specifiers
You can specify the package name & version number.
You can also specify a git url or a local path.
In the usual case, you would specify the package followed by the version number, e.g.
sqlalchemy=1.0.1
You can install all the packages specified in a requirements.txt file through the command
pip install -r requirements.txt
Once all the packages have been installed, run
pip freeze > requirements.txt
This will save the package details in the file requirements.txt.
For installation, run
pip install -r requirements.txt
to install the packages specified by requirements.txt.
I would like to propose pipenv here. Managing packages with Pipenv is easier as it manages the list and the versions of packages for you because I think you need to run pip freeze command each time you make changes to your packages.
It will need a Pipfile. This file will contain all of your required packages and their version just like package.json.
You can delete/update/add projects using pipenv install/uninstall/update <package>
This also generates a dependency tree for your project. Just like package-lock.json
Checkout this post on Pipfiles
Learn more about Pipenv

Installed Virtualenv and activating virtualenv doesn't work

I cloned my Django Project from Github Account and activated the virtualenv using famous command source nameofenv/bin/activate
And when I run python manage.py runserver
It gives me an error saying:
ImportError: Couldn't import Django. Are you sure it's installed and available on your PYTHONPATH environment variable? Did you forget to activate a virtual environment?
I was thinking that every and each dependency I need, might be present inside virtualenv.
Well, no. By default, a newly created virtualenv comes empty, that is, with no third-party library. (Optionaly, you may allow a virtualenv to access libraries installed system-wide, but that's another story.)
Once the virtualenv is created, you need to install the dependencies you need.
(How could virtualenv know what dependencies you need?)
The procedure is to install the virtualenv, activate it, and then install the libraries needed for the project (in you case Django and perhaps others).
If you project has a requirements.txt, you may install every required dependency with the command:
pip install -r requirements.txt
If your project has a setup.py, you may also execute
pip install -e path/to/your/project/clone/.
to install the project in the virtualenv. This should install the dependencies.
Of course, if the only dependency is Django, you can just type
pip install django
on ubuntu version
#install python pip
sudo apt-get install python-pip
#install python virtualenv
sudo apt-get install python-virtualenv
# create virtual env
virtualenv myenv
#activate the virtualenv
. myenv/bin/activate
#install django inside virtualenv
pip install django
#create a new django project
django-admin.py startproject mysite
#enter to the folder of the new django project
cd mysite
#run the django project
python manage.py runserver
If you have several python on your machine, for example,python2.7, python3.4, python3.6, it is import to figure out which version the python really reference to, and more over, which version does pip reference to.
The same problem got in my way after I installed the let's encrypt when I run the following command.
(python3 manage.py runserver 0:8000 &)
I inspected the python version and found that python3, python3.4, python3.6, python3.4m were all available.
I just change python3 to python3.6 and solved the problem.
(python3.6 manage.py runserver 0:8000 &)
So, this is probably a version mismatching problem if it is OK for a long time and crashes down suddenly.
I'm guessing you also upload the virtual environment from your other pc. And you hope that only activating that will work, bzz.
It's not recommended to upload the virtualenv files to your git repository, as #Alain says it's a good practice to have a requirements.txt file containing the project dependencies. You can use pip freeze > requirements.txt (when the environment is activated) to generate the project requirements file.
By doing so, when you clone the repository from another computer, you need to create a new virtualenv by issuing the command:
virtualenv nameofenv
then activate it:
source nameofenv/bin/activate
and finally, use the requirements file to install the requirements for your project using:
pip install -r requirements.txt
I had installed Django 2 via pip3 install Django, but I was running python manage.py runserver instead of python3 manage.py runserver. Django 2 only works with python 3+.

How would you bootstrap python virtualenv on RHEL5 without root access?

I know how to install the packages if I could be root, but if I can't, how would I create a virtualenv from scratch, without root access. What are the bootstrap steps to create enough of a virtualenv to begin pip installing things.
From the docs, you can add --user to the installation flags for pip to install setuptools et al to your user site-packages:
python get-pip.py --user
See https://pip.pypa.io/en/latest/installing.html
Once that's done, you can do:
pip install --user virtualenv
Which will install virtualenv to your user site-packages too. From there, you can run virtualenv the normal way.
if you have the virtualenv.py file, go to your project directory and do
python virtualenv.py env
This will create a local virtual environment. Then run it with
source env/bin/activate.
Hope that helps!

pinax-admin: command not found

i am trying to install pinax in django 1.4.0. and I am using git to install pinax...
-e git+git://github.com/pinax/pinax.git#egg=pinax
now.. when i activate my virtualenv.
/djangoproj$ virtualenv mysite-env
New python executable in mysite-env/bin/python
Installing setuptools............done.
Installing pip...............done.
/djangoproj$ source mysite-env/bin/activate
/djangoproj$ pinax-admin setup_project mysite
pinax-admin: command not found
i got the error pinax-admin: command not found.
I am following this documentation http://pinax.readthedocs.org/en/latest/gettingstarted.html#prerequisites
where did i go wrong? i did install Pinax in git so i don't need to install it in pip because it is already installed...
Does anyone have an idea on how can I deal with my case?
I think it's better to use a pip requirements file with pinax and all the required modules to set up your environment. This way you can easily test your app in other hosts.
For the starting development environment:
Create a virtualenv
Install all you need with pip
Create a requirements file: pip freeze > requirements.txt (this should be in your repo)
Develop your app
For a new development environment:
Create a virtualenv
Clone your repo with your app and requirements.txt
pip -r requirements.txt
You're finished

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