twolfson

Last update: Feb 3, 2015

Flask-SQLAlchemy has some nice built-ins (e.g. accessing query directly on classes). To continue leveraging these nicities while still inside of a Celery worker, we need to make sure we setup/teardown in a similar fashion to Flask-SQLAlchemy does on Flask.

Setup

Flask-SQLAlchemy uses create_scoped_session at startup which avoids any setup on a per-request basis.

https://github.com/mitsuhiko/flask-sqlalchemy/blob/2.0/flask_sqlalchemy/__init__.py#L668

This means Celery can piggyback off of this initialization.

subfuzion

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

monkut

# docker build -t ubuntu1604py36
FROM ubuntu:16.04

RUN apt-get update && \
  apt-get install -y software-properties-common && \
  add-apt-repository ppa:jonathonf/python-3.6
RUN apt-get update

RUN apt-get install -y build-essential python3.6 python3.6-dev python3-pip python3.6-venv
RUN apt-get install -y git