How to duplicate virtualenv
Question:
I have an existing virtualenv with a lot of packages but an old version of Django.
What I want to do is duplicate this environment so I have another environment with the exact same packages but a newer version of Django. How can I do this?
Answers:
The easiest way is to use pip to generate a requirements file. A requirements file is basically a file that contains a list of all the python packages you want to install (or have already installed in case of file generated by pip), and what versions they’re at.
To generate a requirements file, go into your original virtualenv, and run:
pip freeze > requirements.txt
This will generate the requirements.txt file for you. If you open that file up in your favorite text editor, you’ll see something like:
Django==1.3
Fabric==1.0.1
etc...
Now, edit the line that says Django==x.x
to say Django==1.3
(or whatever version you want to install in your new virtualenv).
Lastly, activate your new virtualenv, and run:
pip install -r requirements.txt
And pip will automatically download and install all the python modules listed in your requirements.txt file, at whatever versions you specified!
Can you not simply:
- Copy the existing virtual env directory to a new one
- Update to the new Django?
Another option is to use virtualenv-clone
package:
A script for cloning a non-relocatable virtualenv.
virtualenvwrapper
provides a command to duplicate virtualenv
cpvirtualenv ENVNAME [TARGETENVNAME]
If you are using Anaconda you can just run:
conda create --name myclone --clone myenv
This will copy myenv
to the newly created environment called myclone
.
Easiest option is using virtualenv-clone
package.
To duplicate venv1
to venv2
, follow these steps:
-
Install virtualenv-clone
in either venv1
or a dummy virtual environment venv_dummy
. To create venv_dummy
:
python -m virtualenv venv_dummy
source venv_dummy/bin/activate
-
To install virtualenv-clone
:
(venv_dummy): pip install virtualenv-clone
-
To duplicate venv1
to venv2
:
(venv_dummy): virtualenv-clone venv1/ venv2/
In case you use pip "venv". I copy pasted the folder holding the virtual environment and manually changed the files in the bin folder of the copied folder.
I don’t know if its efficient,but it works!
Here is my go to command for cloning python virtual environments.
packs=`source-path/bin/pip freeze` && python3 -m venv <env-name> && target-path/bin/pip install $packs
Conventions used in above command:
- source-path = path to env that you want to clone e.g.
/home/john/envs/oldenv
.
- env-name = name of the cloned env e.g.
myenv
, it can be a path as well e.g.
/home/john/envs/myenv
- target-path = path to new cloned env e.g.
/home/john/envs/<env-name>
Advantages of using this or why i prefer this
- No need to generate a requirements.txt file.
- No environment is activated/deactivated during cloning process.
- single command to be executed(3 commands ran at once).
In some cases you might want to exclude global packages from while cloning env you can replace source-path/bin/pip freeze
with source-path/bin/pip freeze --local
, more about --local
here
pip works, but it’s a problem on a computer without internet.
I wrote a small code for this, it worked for me. I’m writing it here because maybe it will be useful for someone else.
( Note: I tested it on Windows )
- copy project folder
- paste project folder to another directory
- change the address parts in this code and run the code:
import os
# The new address of our script folder
script_folder = r'D:Python proqramspdf_to_excelvenvScripts'
# the old address of our venv folder
old_path = rb'C:UsersAVG-dellDesktoppdf_to_excelvenv'
# the new address of our venv folder
new_path = rb"D:Python proqramspdf_to_excelvenv"
def find_replace( folder ):
names = os.listdir( folder )
for name in names:
current_path = os.path.join( folder, name )
if os.path.isdir( current_path ):
find_replace( current_path )
elif os.path.isfile( current_path ) :
try:
with open( current_path ,'rb' ) as f:
data = f.read()
if old_path in data:
print( current_path )
data2 = data.replace( old_path , new_path )
with open( current_path , 'wb' ) as f:
f.write(data2)
except:
pass
find_replace( script_folder )
print('completed')
I have an existing virtualenv with a lot of packages but an old version of Django.
What I want to do is duplicate this environment so I have another environment with the exact same packages but a newer version of Django. How can I do this?
The easiest way is to use pip to generate a requirements file. A requirements file is basically a file that contains a list of all the python packages you want to install (or have already installed in case of file generated by pip), and what versions they’re at.
To generate a requirements file, go into your original virtualenv, and run:
pip freeze > requirements.txt
This will generate the requirements.txt file for you. If you open that file up in your favorite text editor, you’ll see something like:
Django==1.3
Fabric==1.0.1
etc...
Now, edit the line that says Django==x.x
to say Django==1.3
(or whatever version you want to install in your new virtualenv).
Lastly, activate your new virtualenv, and run:
pip install -r requirements.txt
And pip will automatically download and install all the python modules listed in your requirements.txt file, at whatever versions you specified!
Can you not simply:
- Copy the existing virtual env directory to a new one
- Update to the new Django?
Another option is to use virtualenv-clone
package:
A script for cloning a non-relocatable virtualenv.
virtualenvwrapper
provides a command to duplicate virtualenv
cpvirtualenv ENVNAME [TARGETENVNAME]
If you are using Anaconda you can just run:
conda create --name myclone --clone myenv
This will copy myenv
to the newly created environment called myclone
.
Easiest option is using virtualenv-clone
package.
To duplicate venv1
to venv2
, follow these steps:
-
Install
virtualenv-clone
in eithervenv1
or a dummy virtual environmentvenv_dummy
. To createvenv_dummy
:python -m virtualenv venv_dummy source venv_dummy/bin/activate
-
To install
virtualenv-clone
:(venv_dummy): pip install virtualenv-clone
-
To duplicate
venv1
tovenv2
:(venv_dummy): virtualenv-clone venv1/ venv2/
In case you use pip "venv". I copy pasted the folder holding the virtual environment and manually changed the files in the bin folder of the copied folder.
I don’t know if its efficient,but it works!
Here is my go to command for cloning python virtual environments.
packs=`source-path/bin/pip freeze` && python3 -m venv <env-name> && target-path/bin/pip install $packs
Conventions used in above command:
- source-path = path to env that you want to clone e.g.
/home/john/envs/oldenv
. - env-name = name of the cloned env e.g.
myenv
, it can be a path as well e.g.
/home/john/envs/myenv
- target-path = path to new cloned env e.g.
/home/john/envs/<env-name>
Advantages of using this or why i prefer this
- No need to generate a requirements.txt file.
- No environment is activated/deactivated during cloning process.
- single command to be executed(3 commands ran at once).
In some cases you might want to exclude global packages from while cloning env you can replace source-path/bin/pip freeze
with source-path/bin/pip freeze --local
, more about --local
here
pip works, but it’s a problem on a computer without internet.
I wrote a small code for this, it worked for me. I’m writing it here because maybe it will be useful for someone else.
( Note: I tested it on Windows )
- copy project folder
- paste project folder to another directory
- change the address parts in this code and run the code:
import os
# The new address of our script folder
script_folder = r'D:Python proqramspdf_to_excelvenvScripts'
# the old address of our venv folder
old_path = rb'C:UsersAVG-dellDesktoppdf_to_excelvenv'
# the new address of our venv folder
new_path = rb"D:Python proqramspdf_to_excelvenv"
def find_replace( folder ):
names = os.listdir( folder )
for name in names:
current_path = os.path.join( folder, name )
if os.path.isdir( current_path ):
find_replace( current_path )
elif os.path.isfile( current_path ) :
try:
with open( current_path ,'rb' ) as f:
data = f.read()
if old_path in data:
print( current_path )
data2 = data.replace( old_path , new_path )
with open( current_path , 'wb' ) as f:
f.write(data2)
except:
pass
find_replace( script_folder )
print('completed')