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Real Estate data analysis
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bhzunami/reanalytics
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This is a simple Template for a new Flask application Initalize DB with pyhton manage.py db upgrade. Create user: 1. Create the Roles python manage.py shell >> Role.insert_roles() >> for r in Role.query.all(): >> print("Name {} and id: {}".format(r.name, r.id)) 2. Create Admin user >> r = Role.query.filter_by(name="Administrator").first() >> u = User(email="[email protected]", name="Test", password="test", role=r) >> db.session.add(u) >> db.session.commit() Add migration First you have to initalize the migration $ python manage.py db init After that you can add a new migration $ python manage.py db migrate -m "Commit message" Attention every Model who was created since last migration will be generated. If you want to seperate them, then do not include them in the __init__.py file in the folder models To avoid warning flask_script warnings change the code on venv/lib/flas_asstes.py Line 345 import flask_script as script python manage.py db init python manage.py db migrate -m "Initail" python manage.py db upgrade python manage.py shell # Start all # Rabbit MQ rabbitmq-server start check: http://localhost:15672/#/ rabbitmqctl stop # Celery celery worker -A manage.celery --loglevel=info -B # Flask python manage.py runserver oder mit Websockets gunicorn --worker-class eventlet -b 0.0.0.0:8000 -w 1 manage:app http://stackoverflow.com/questions/13660118/running-a-flask-app-with-nginx-and-gunicorn http://www.jeffwidman.com/blog/847/using-sqlalchemy-to-create-and-manage-postgresql-materialized-views/ data = pd.read_sql_query( db.select([AnalyticView.rooms, AnalyticView.price, AnalyticView.area, AnalyticView.plz, AnalyticView.district, ]) .where(AnalyticView.canton_nr == location.canton_nr) .where(AnalyticView.type == type) # .where(AnalyticView.edate == dt.datetime.today()), .where(AnalyticView.edate == "2016-07-10"), db.session.bind)
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