v0.2 include R kernel

README.md

@@ -3,34 +3,40 @@
 
 ### English
 
-This software can install more kernels in Jupyter (notebook, lab or hub).
+This software can install Python and R kernels in Jupyter (notebook, lab or hub).
 
-Using the `ipykernel` utility, this software install a new kernel and after replace the path to correct Python environment. The major benefit of this is that you can have multiple Python environments (hand-managed or by software like Conda) with distinct libraries or packages, not merging the environments. It's very important that all environments has installed the Python package `ipykernel`.
+This software, that uses the `ipykernel` utility for Python kernels and `r-irkernel` for R kernels, installs a new kernel for Jupyter. With this you can have multiple kernels (hand-managed or by software like Conda) with distinct libraries or packages, not merging the environments.
 
 #### Requirements:
 - Python 2 or 3.
-- Environments with package `ipykernel` installed.
+- Environment with package `ipykernel` or `r-irkernel` installed.
 
 #### Example:
 We have a Conda installation on `/opt/conda` with three environments: 
-- tools (environment where it has installed Jupyter)
-- python35 (environment where it has installed packages that needs this version of Python)
-- python36 (environment where it has installed packages that needs this version of Python)
+- jupyterhub
+- python35
+- python36
+- ir
 
+```
 /opt/conda/envs
 |-- python35/
 |-- python36/
-`-- tools/
+|-- ir/
+`-- jupyterhub/
+```
 
 ```bash
-[root@vm /root/jupyter_cki] ll
--rw-r--r-- 1 root root 2334 Jan 18 00:00 jupyter_cki.py
-
-[root@vm /root/jupyter_cki] python jupyter_cki.py /opt/conda/envs/tools python36 /opt/conda/envs/python36
+[root@vm /root/jupyter_cki] python jupyter_cki.py python --jupyter /opt/conda/envs/jupyterhub --kernel /opt/conda/envs/python36 --kernel_name python36
 Installed kernelspec python36 in /opt/conda/envs/tools/share/jupyter/kernels/python36
+Kernel installed
 
-[root@vm /root/jupyter_cki] python jupyter_cki.py /opt/conda/envs/tools python35 /opt/conda/envs/python35
+[root@vm /root/jupyter_cki] python jupyter_cki.py python --jupyter /opt/conda/envs/jupyterhub --kernel /opt/conda/envs/python35 --kernel_name python35
 Installed kernelspec python35 in /opt/conda/envs/tools/share/jupyter/kernels/python35
+Kernel installed
+
+[root@vm /root/jupyter_cki] python jupyter_cki.py ir --jupyter /opt/conda/envs/jupyterhub --kernel /opt/conda/envs/ir
+Kernel installed
 ```
 
 You can check if it's working correctly: first open Jupyter, select a custom kernel and execute this to check the Python version running.
@@ -49,34 +55,40 @@ This software is distributed under GNU GPL v3. You can read the terms [here](htt
 
 ### Español
 
-Este software permite instalar más kernels en Jupyter (notebook, lab o hub).
+Este software permite instalar más kernels de Python o R en Jupyter (notebook, lab o hub).
 
-Usando la utilidad `ipykernel`, este software instala un nuevo kernel y luego reemplaza la ruta para corregir el entorno Python. El principal beneficio de esto es que puede tener múltiples entornos de Python (administrados manualmente o por software como Conda) con distintas bibliotecas o paquetes, sin fusionar los entornos. Es muy importante que todos los entornos tengan instalado el paquete Python `ipykernel`.
+Este software, que usa la utilidad `ipykernel` para núcleos Python y `r-irkernel` para núcleos R, instala un nuevo kernel para Jupyter. Con esto puede tener múltiples núcleos (administrados manualmente o por software como Conda) con distintas bibliotecas o paquetes, sin fusionar los entornos.
 
 #### Requisitos:
 - Python 2 o 3.
-- Entornos con paquete `ipykernel` instalado.
+- Entorno con paquete `ipykernel`  o `r-irkernel` instalado.
 
 #### Ejemplo:
 Tenemos una instalación de Conda en `/opt/conda` con tres entornos:
-- tools (entorno donde se ha instalado Jupyter).
-- python35 (entorno donde han instalado paquetes que necesitan esta versión de Python)
-- python36 (entorno donde han instalado paquetes que necesitan esta versión de Python)
+- jupyterhub
+- python35
+- python36
+- ir
 
+```
 /opt/conda/envs
 |-- python35/
 |-- python36/
-`-- tools/
+|-- ir/
+`-- jupyterhub/
+```
 
 ```bash
-[root@vm /root/jupyter_cki] ll
--rw-r--r-- 1 root root 2334 Jan 18 00:00 jupyter_cki.py
-
-[root@vm /root/jupyter_cki] python jupyter_cki.py /opt/conda/envs/tools python36 /opt/conda/envs/python36
+[root@vm /root/jupyter_cki] python jupyter_cki.py python --jupyter /opt/conda/envs/jupyterhub --kernel /opt/conda/envs/python36 --kernel_name python36
 Installed kernelspec python36 in /opt/conda/envs/tools/share/jupyter/kernels/python36
+Kernel installed
 
-[root@vm /root/jupyter_cki] python jupyter_cki.py /opt/conda/envs/tools python35 /opt/conda/envs/python35
+[root@vm /root/jupyter_cki] python jupyter_cki.py python --jupyter /opt/conda/envs/jupyterhub --kernel /opt/conda/envs/python35 --kernel_name python35
 Installed kernelspec python35 in /opt/conda/envs/tools/share/jupyter/kernels/python35
+Kernel installed
+
+[root@vm /root/jupyter_cki] python jupyter_cki.py ir --jupyter /opt/conda/envs/jupyterhub --kernel /opt/conda/envs/ir
+Kernel installed
 ```
 
 Puedes verificar si está funcionando correctamente: primero abre Jupyter, selecciona un kernel personalizado y ejecuta esto para verificar la versión de Python que se está ejecutando.

jupyter_cki.py

@@ -100,6 +100,7 @@ def replace(file_path, pattern, subst):
         command(ENV_PATH, KERNEL_NAME)
         replace(ENV_PATH+"/share/jupyter/kernels/"+KERNEL_NAME+"/kernel.json", ENV_PATH, KERNEL_PATH)
         os.chmod(ENV_PATH+"/share/jupyter/kernels/"+KERNEL_NAME+"/kernel.json", 644)
+        print("Kernel installed")
     elif args.command == "ir":
         if args.jupyter == None or args.kernel == None:
             parser_ir.print_help()
@@ -110,6 +111,7 @@ def replace(file_path, pattern, subst):
 
         replace(ENV_PATH+"/share/jupyter/kernels/ir/kernel.json", '["R"', '["'+os.path.join(KERNEL_PATH,"bin/R")+'"')
         os.chmod(ENV_PATH+"/share/jupyter/kernels/ir/kernel.json", 644)
+        print("Kernel installed")
     else:
         parser.print_help()
         sys.exit(2)