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DEPRECATED.

openag_recipe_generator

Python script for generating simple timeseries recipes

Install

Clone directory

cd ~/my_project_folder
git clone https://github.com/OpenAgInitiative/openag_recipe_generator.git

Make sure you have python installed

python --version

Should see something like, if you do not. Go download python

Python 2.7.10

Edit the parameters in recipe_generator.py file for desired recipe output with favorite text editor. Sublime Text Editor is straight forward.

### Set parameters #############################################################
recipe_name = 'example_recipe'
recipe_format = 'simple'
cycles = 2 # cycles
day_length = 18 # hours
light_intensity_red = 1 # 1 for on, 0 for off
light_intensity_blue = 1 # 1 for on, 0 for off
light_intensity_white = 1 # 1 for on, 0 for off
night_length = 6 # hours
day_air_temperature = 24 # C
night_air_temperature = 16 # C
air_flush_on_number_per_day = 2 # times / day
air_flush_on_day_length = 60 # minutes
air_flush_on_number_per_night = 0 # times / night
air_flush_on_night_length = 20 # minutes
ph = 6 # pH
nutrient_a_number_per_day = 2 # times / day
nutrient_a_volume = 2.5 # mL
nutrient_b_number_per_day = 1 # times / day
nutrient_b_volume = 5 # mL
################################################################################

After you are finished your edits, SAVE THE FILE. Once saved, from the same directory that contains recipe_generator.py, run

cd ~/my_projects_folder/openag_recipe_generator
python recipe_generator.py

This will create a new file in the same directory with the same name as the recipe_name. For example, if recipe_name = 'example_recipe', a file called example_recipe.json will be created. It will looks something like this. Note the times are in milliseconds.

{
    "_id": "example_recipe",
    "format": "simple",
    "operations": [
        [
            0,
            "water_potential_hydrogen",
            6
        ],
        [
            0,
            "light_intensity_red",
            1
        ],
        [
            0,
            "light_intensity_blue",
            1
        ],
        [
            0,
            "light_intensity_white",
            1
        ],
        [
            0,
            "air_temperature",
            24
        ],
        [
            0,
            "air_flush_on",
            0
        ],
        [
            0,
            "nutrient_flora_duo_a",
            0
        ],
        [
            0,
            "nutrient_flora_duo_b",
            0
        ],
        [
            10,
            "air_flush_on",
            60
        ],
        [
            10,
            "nutrient_flora_duo_a",
            2.5
        ],
        [
            10,
            "nutrient_flora_duo_b",
            5
        ],
        [
            32400,
            "air_flush_on",
            0
        ],
        [
            32400,
            "nutrient_flora_duo_a",
            0
        ],
        [
            32410,
            "air_flush_on",
            60
        ],
        [
            32410,
            "nutrient_flora_duo_a",
            2.5
        ],
        [
            64800,
            "light_intensity_red",
            0
        ],
        [
            64800,
            "light_intensity_blue",
            0
        ],
        [
            64800,
            "light_intensity_white",
            0
        ],
        [
            64800,
            "air_temperature",
            16
        ],
        [
            86400,
            "light_intensity_red",
            1
        ],
        [
            86400,
            "light_intensity_blue",
            1
        ],
        [
            86400,
            "light_intensity_white",
            1
        ],
        [
            86400,
            "air_temperature",
            24
        ],
        [
            86400,
            "air_flush_on",
            0
        ],
        [
            86400,
            "nutrient_flora_duo_a",
            0
        ],
        [
            86400,
            "nutrient_flora_duo_b",
            0
        ],
        [
            86410,
            "air_flush_on",
            60
        ],
        [
            86410,
            "nutrient_flora_duo_a",
            2.5
        ],
        [
            86410,
            "nutrient_flora_duo_b",
            5
        ],
        [
            118800,
            "air_flush_on",
            0
        ],
        [
            118800,
            "nutrient_flora_duo_a",
            0
        ],
        [
            118810,
            "air_flush_on",
            60
        ],
        [
            118810,
            "nutrient_flora_duo_a",
            2.5
        ],
        [
            151200,
            "light_intensity_red",
            0
        ],
        [
            151200,
            "light_intensity_blue",
            0
        ],
        [
            151200,
            "light_intensity_white",
            0
        ],
        [
            151200,
            "air_temperature",
            16
        ]
    ]
}

To upload this to the food computer, copy and paste the json text into create new recipe prompt in the openag ui

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Python script for generating simple timeseries recipes

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