novemberalpha

{
    "_id": "pfc1-potted-tomatoes-72days",
    "format": "phased",
    "version": "1.0",
    "optimization": [
        "general purpose"
    ],
    "date_created": "2017-05-14",
    "author": "openag",
    "operations": [

novemberalpha

import json
import operator

### Set parameters #############################################################
recipe_name = 'Tangerine-air-flush-cooling-2'
recipe_format = 'simple'
cycles = 7 # cycles
day_length = 12 # hours
light_intensity = 1 # 1 for on, 0 for off
night_length = 12 # hours

novemberalpha

{
    "_id": "Air-flush-cooling",
    "format": "simple",
    "operations": [
        [
            0,
            "light_intensity",
            1
        ],
        [

novemberalpha

{
    "_id": "pfc1-general_greens",
    "format": "phased",
    "version": "1.0",
    "optimization": [
        "general purpose"
    ],
    "date_created": "2017-05-14",
    "author": "openag",
    "operations": [

novemberalpha

How To Install and Deploy the latest openag_ui as a couchapp

Run all the shell commands inside the Raspberry Pi.

Optional: install nodejs/npm

tl;dr: Installing Node.js via package manager

curl -sL https://deb.nodesource.com/setup_6.x | sudo -E bash -

sudo apt-get install -y nodejs

novemberalpha

NGROK OPENAG

Installing a ngrok tunnel on your openag_brain will allow you to access it from anywhere in the world.

Follow these steps:

1. Create an account at ngrok.com (it's free)
   • https://ngrok.com
2. Download ngrok onto your Raspberry Pi
   • wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-arm.zip
3. Unzip the ngrok app in your home folder

• unzip ngrok-stable-linux-arm.zip

novemberalpha

Step 1: Create new autologin.conf file
  sudo nano /etc/systemd/system/[email protected]/autologin.conf

Step 2: Add these lines
  [Service]
  ExecStart=
  ExecStart=-/sbin/agetty --autologin pi --noclear %I 38400 linux

Step 3: Save file with ctrl-x

novemberalpha

{
   "_id": "dht22_1",
   "type": "dht22",
   "environment": "environment_1",
   "arguments": [
       2
   ],
   "outputs": {
       "air_temperature": {
           "variable": "air_temperature"