This is a prototype data processor/publisher for NASA.

Maintained by Pat Cappelaere Vightel Corporation [email protected]

NOTE: Some changes have been made to the code to run on a local server without required access to the AWS cloud. Check config/config.yaml using_aws_s3_for_storage could be set to 0

Check python/config.py for example... USING_AWS_S3_FOR_STORAGE = 1 USING_LOCAL_DIR_FOR_STORAGE = 1 LOCAL_DIR_STORAGE = "/Users/patricecappelaere/Development/ojo/tmp"

NOTE 2: This may not be the best option to run as an enterprise system with multiples instances and load balancing.

Check PREREQUISITES.md

Install docker and start VM Start Docker VM via Docker Quickstart Terminal or might have to do: $ docker-machine start

docker --version Docker version 1.11.0

docker-machine env default bash eval "$(docker-machine env default)" docker ps

docker-compose build development [use docker-compose-dev.yaml] docker images

Start shell in development mode... you can start processing python scripts

docker run -i -p 7465:7465 -t ojobot_development /bin/bash

To test python scripts using shared folder

docker run -i -p 7465:7465 -v /Users/patrice/data:/app/user/data2 -v /Users/patrice/Development/ojo/ojo-bot/python:/app/user/pydev -t ojobot_development /bin/bash

To stop a docker process

docker ps docker stop CONTAINER_ID

Start Chrome and use IP address of VM returned by docker-machine env default

http://192.168.99.100:7465/

docker images

Clean Docker

docker rm -v $(docker ps -a -q -f status=exited)

docker rmi -f $(docker images | grep "" | awk "{print $3}")

docker rmi $(docker images -f "dangling=true" -q)

docker-compose build conda

Test it:

docker-compose run conda

Tag it

docker images

docker tag 608fd2eb4b79 cappelaere/ojo_publisher_base_stack:v1

Push it

docker login

docker push cappelaere/ojo_publisher_base_stack

$ convox login console.convox.com $ convox apps info $ convox deploy

$ convox scale worker --memory=2048 $ convox scale worker --count=2 $ convox scale web --memory=2048 $ convox scale web --count=2

$ convox rack scale --type=m3.large --count=4 ######$ convox rack params set Autoscale=Yes

$ convox ps $ convox exec bash $ convox instances

Add convox.cron commands to docker-compose.yaml $ convox run worker --detach