veyepar: Tracking the International Space Station in Django with Redis-Queue and RQ Scheduler

Author(s):	Samuel Agnew
Location	Hays Cape
Date	jul Sat 28	Days Raw Files
Start	16:30	First Raw Start	16:21
Duration	0:30:0	Offset	0:08:47
End	17:00	Last Raw End	17:03
Chapters	00:00 0:20:57 0:26:31
Total cuts_time	28 min.

https://pyohio.org/2018/schedule/presentation/30/
raw-playlist raw-mp4-playlist encoded-files-playlist host archive mp4 svg png

assets release.pdf Tracking_the_International_Space_Station_in_Django_with_RedisQueue_and_RQ_Scheduler.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

State:

Locked:

clear this to unlock

Locked by:

user/process that locked.

Start:

initially scheduled time from master, adjusted to match reality

Duration:

length in hh:mm:ss

Name:

Video Title (shows in video search results)

Emails:

email(s) of the presenter(s)

Released:

has someone authorised pubication

Normalise:

Channelcopy:

m=mono, 01=copy left to right, 10=right to left, 00=ignore.

Thumbnail:

filename.png

Description:

markdown

The international space station (ISS) is an orbital outpost circling high above our heads. Given a location on Earth (latitude, longitude) the ISS Open Notify API will compute the next `n` number of times that the ISS will be overhead. I will cover step by step how to build a web application that notifies users via text message when the ISS is passing over them.

This talk is live coded and will involve me switching between writing code in my text editor (vim), terminal windows and web browser. It is based off of a [tutorial post I wrote for the Twilio blog](https://www.twilio.com/blog/2015/11/international-space-station-notifications-with-python-redis-queue-and-twilio-copilot.html).

In this session, attendees will learn how to:
- Access and interpret data from the [ISS Open Notify API](http://open-notify.org/Open-Notify-API/ISS-Pass-Times/) on the exact timing on when the ISS will next pass a given geolocation.
- Use Redis Queue as a lightweight alternative to Celery for executing asynchronous tasks.
- Use RQ Scheduler to schedule tasks to be performed at a specific datetime.
- Integrate RQ and RQ Scheduler into a Django web application.
- Respond to webhook requests with Django.
- Access client-side geolocation data using JavaScript.
- Send text message notifications using the Twilio SMS API.

In the Django app built during this talk, Redis will be used to store subscriber information such as a user's phone number and geolocation. RQ and RQ Scheduler will be used to execute a function that sends a text message notification using the Twilio API at a given datetime.

At the end of my talk, I will send a text message containing the code I wrote, and a walkthrough on how to get it running to all of the audience members who interacted with the live-coded web application from my session.

Comment:

production notes