zeppelin/python
Lee moon soo 3665901504 [ZEPPELIN-1671] Conda interpreter
### What is this PR for?
Conda interpreter that manages conda environment for PythonInterpreter

### What type of PR is it?
Feature

### Todos
* [x] - Basic impl
* [x] - update doc

### What is the Jira issue?
https://issues.apache.org/jira/browse/ZEPPELIN-1671

### How should this be tested?
Recreate(or create new) your python interpreter setting in gui.

List all conda env
```
%python.conda
```

Activate env
```
%python.conda activate [name]
```

Deactivate env
```
%python.conda deactivate
```

### Screenshots (if appropriate)
![conda](https://cloud.githubusercontent.com/assets/1540981/20334729/68a7ff0e-ab71-11e6-9456-b88fc252cb17.gif)

### Questions:
* Does the licenses files need update? no
* Is there breaking changes for older versions? no
* Does this needs documentation? yes

Author: Lee moon soo <moon@apache.org>

Closes #1645 from Leemoonsoo/conda and squashes the following commits:

4842b0a [Lee moon soo] Add usage in doc
d979c6a [Lee moon soo] Add unittest
b889443 [Lee moon soo] add usage template
9ae553b [Lee moon soo] Format output and add usage command
171cbeb [Lee moon soo] make sure single char interpreter name can be parsed
6b9525f [Lee moon soo] Fix unittest
1223796 [Lee moon soo] Remove unnecessary log
394cf8c [Lee moon soo] Conda interpreter implementation
2016-11-21 08:32:35 -08:00
..
src [ZEPPELIN-1671] Conda interpreter 2016-11-21 08:32:35 -08:00
pom.xml ZEPPELIN-1345 - Create a custom matplotlib backend that natively supports inline plotting in a python interpreter cell 2016-11-08 07:20:21 -08:00
README.md ZEPPELIN-1345 - Create a custom matplotlib backend that natively supports inline plotting in a python interpreter cell 2016-11-08 07:20:21 -08:00

Overview

Python interpreter for Apache Zeppelin

Architecture

Current interpreter implementation spawns new system python process through ProcessBuilder and re-directs it's stdin\strout to Zeppelin

Details

  • UnitTests

To run full suit of tests, including ones that depend on real Python interpreter AND external libraries installed (like Pandas, Pandasql, etc) do

mvn -Dpython.test.exclude='' test -pl python -am
  • Py4j support

Py4j enables Python programs to dynamically access Java objects in a JVM. It is required in order to use Zeppelin dynamic forms feature.

  • bootstrap process

Interpreter environment is setup with thex bootstrap.py It defines help() and z convenience functions

Dev prerequisites

  • Python 2 or 3 installed with py4j (0.9.2) and matplotlib (1.31 or later) installed on each

  • Tests only checks the interpreter logic and starts any Python process! Python process is mocked with a class that simply output it input.

  • Code wrote in bootstrap.py and bootstrap_input.py should always be Python 2 and 3 compliant.

  • Use PEP8 convention for python code.

Technical overview

  • When interpreter is starting it launches a python process inside a Java ProcessBuilder. Python is started with -i (interactive mode) and -u (unbuffered stdin, stdout and stderr) options. Thus the interpreter has a "sleeping" python process.

  • Interpreter sends command to python with a Java outputStreamWiter and read from an InputStreamReader. To know when stop reading stdout, interpreter sends print "*!?flush reader!?*"after each command and reads stdout until he receives back the *!?flush reader!?*.

  • When interpreter is starting, it sends some Python code (bootstrap.py and bootstrap_input.py) to initialize default behavior and functions (help(), z.input()...). bootstrap_input.py is sent only if py4j library is detected inside Python process.

  • Py4J python and java libraries is used to load Input zeppelin Java class into the python process (make java code with python code !). Therefore the interpreter can directly create Zeppelin input form inside the Python process (and eventually with some python variable already defined). JVM opens a random open port to be accessible from python process.

  • JavaBuilder can't send SIGINT signal to interrupt paragraph execution. Therefore interpreter directly send a kill SIGINT PID to python process to interrupt execution. Python process catch SIGINT signal with some code defined in bootstrap.py

  • Matplotlib figures are displayed inline with the notebook automatically using a built-in backend for zeppelin in conjunction with a post-execute hook.

  • %python.sql support for Pandas DataFrames is optional and provided using https://github.com/yhat/pandasql if user have one installed