sachima 2019.1a6

A package for Data Analyst

Sachima

This is a package for Data Analyst who wants to get capabilities of Data Engineer:

• Publishing your code as a http or rpc api.
• Working with BI platform like Superset.
• Sending your data reports to email or sns.
• Working with GrassJelly which is a Data Visulization project.

dev env

• git clone https://github.com/pphszx/incubator-superset.git
• git checkout pp_feat_apitable_0.29_new
• virtualenv -p python3 venv
• source venv/bin/activate
• pip install -r requirements.txt

if you get compile error remove cchardet==1.0.0 from requirements.txt and run again https://stackoverflow.com/questions/52509602/cant-compile-c-program-on-a-mac-after-upgrade-to-mojave

• pip install -r requirements-dev.txt
• pip install -e .
• fabmanager create-admin --app superset

if you already had sqllite db file ~/.superset/superset.db rename it to superset_backup.db

• superset db upgrade

• superset init

• superset load_examples

• cd superset/assets

• yarn

• npm run dev

• cd ../..

• create file ./venv/bin/superset_config.py

APP_NAME = 'My App'

API_URL_CONFIG = {
    'RPC': 'amqp://rabbitname:rabbitpass@0.0.0.0/vhost',
    'RESTFUL': 'http://0.0.0.0:8008/reports',
    'GRPC': '0.0.0.0:50051',
}

• cd superset

• FLASK_ENV=development flask run -p 8088 --with-threads --reload --debugger

• open browser http://127.0.0.1:8088/login/

• ref:https://github.com/apache/incubator-superset/blob/master/CONTRIBUTING.md#flask-server