https://github.com/abilian/olapy-pyodide

https://github.com/abilian/olapy-pyodide

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/abilian/olapy-pyodide
• Owner: abilian
• Created: 2020-11-14T10:34:33.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2020-11-14T10:44:45.000Z (over 5 years ago)
• Last Synced: 2025-09-10T04:58:08.537Z (11 months ago)
• Language: HTML
• Size: 2.67 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## Olapy-Pyodide

The purpose of OlaPy-Pyodide package is to show you how to use [OlaPy](https://github.com/abilian/olapy) inside your web browser as library 

(not XMLA server), thus all computations happens in the browser, with direct access to Web API technologies like the DOM. 

Since there's no server side, Sharing a notebook become very easy as passing around a single HTML file.

how could this happens? well, thanks to [iodide](https://github.com/iodide-project/iodide) and 

[pyodide](https://github.com/iodide-project/pyodide) projects which feature Python running entirely in the browser, allowing portable and reproducible data science using Python without having to install anything.

### [Online Demo](http://bulma.abilian.com:8000/olapy.html)

![OlaPy-Pyodide](https://raw.githubusercontent.com/abilian/olapy-pyodide/main/docs/img/olapy-pyodide.gif)

Build OlaPy with Pyodide by yourself

------------------------------------

After building [pyodide project](https://github.com/iodide-project/pyodide)

copy the content of [under_packages](https://github.com/abilian/olapy/tree/master/pyodide/build_olapy_by_yourself/under_packages) and [under_build](https://github.com/abilian/olapy/tree/master/pyodide/build_olapy_by_yourself/under_build), under pyodide's build and packages folders

and copy [server.py](https://github.com/abilian/olapy/blob/master/pyodide/build_olapy_by_yourself/server.py) file to pyodide's root folder

next, in pyodide project run:

    cd packages

    make

finally to test a demo, you should install gunicorn:

    pip install gunicorn

 and then run the server from pyodide root folder with:

    gunicorn -D -w 4 -b 0.0.0.0 -t 300 server:app

and go to [http://localhost:8000/olapy.html](http://localhost:8000/olapy.html)

Add cubes

---------

You can add new cubes under the pyodide build folder, for instance 

{PYODIDE_ROOT_DIR}/build/olapy-data/cubes/{YOUR_CUBE_FOLDER}/{YOUR_FILES.csv}

and them from iodide, you pass them to olapy as parameter:

    

~~~python

import pandas as pd

import pyodide

from olapy.core.services.xmla_lib import get_response

# get cube tables

dataframes = {

  'Facts' : pd.read_csv(pyodide.open_url("olapy-data/cubes/my_cube/Facts.csv"),sep=';', encoding='utf8'),

  'Table_name_as_you_want1':pd.read_csv(pyodide.open_url("olapy-data/cubes/my_cube/table1.csv"),sep=';', encoding='utf8'),

  'Table_name_as_you_want2':pd.read_csv(pyodide.open_url("olapy-data/cubes/my_cube/table2.csv"),sep=';', encoding='utf8')

}

# discover request parameters

xmla_request_params = {

  'cube': 'sales',

  'request_type': 'DISCOVER_PROPERTIES',

  'properties': {},

  'restrictions': {'PropertyName': 'ServerName'},

  'mdx_query': None,

}

get_response(xmla_request_params=xmla_request_params, dataframes=dataframes, output='xmla')

~~~