Works with 24 hour C mineralization burst protocol
/**
* Macro for data evaluation on PhotosynQ.org
* by: David M. Kramer
* created: 2017-05-12 @ 11:07:27
The macro converts a stream of environmental data sets obtained using the _protocol_set_ feature
into arrays and displays them.
For example, the following protocol will take temperature_humidity_pressure2, and light_intensity
once per second for 20 times.
[{ "_protocol_set_":
[
{
"environmental": [
["temperature_humidity_pressure2"],
["light_intensity"]
],
"protocols":20,
"protocols_delay":1000
}
]
}]
The macro will generate one array for each sensor, i.,e. temperature2, humidity2 and PAR,
as well as time. The time array is not displayed unless you un-comment the following line:
//output.timescale = output.time;
Note: It is important to exclude data sets that are arrays, especially data_raw. This is done
by adding the "data_raw"] to the list exclude_these:
var exclude_these=["data_raw"];
The macro can be modified to exclude the output and display of other the paramters by adding
the names to the list called exclude_these. For example, I do not want to see "data_raw", "r",
"g", "b", "light_intensity_raw"
var exclude_these=["data_raw", "r", "g", "b", "light_intensity_raw"];
*/
// Define the output object here
var output = {};
// Check if the key time exists in json
if (json.time !== undefined){
//add values to exclude from the analyses
var exclude_these=["data_raw", "r", "g", "b", "light_intensity_raw"];
keys = Object.keys(json.set[2]); //find the keys to the sensors
Object.keys(json.set[2]).join(","); //join them in a string for display
number_sensors=keys.length; // find the number of sensors
output.number_sensors=number_sensors; //display the number of sensors
// Add key time and value to output
number_measurements=json.set.length;
output.number_measurements=number_measurements-1;
// var number_sensors = json.set[1]
for (var j=0; j< number_sensors; j++){
use_this_key=keys[j];
if (exclude_these.indexOf(use_this_key)<0){
temp=[];
var i;
for (i=1; i < number_measurements; i++){
var t=json.set[i][use_this_key];
temp.push(t);
}
output[use_this_key]=temp;
}
}
//output.timescale = output.time;
}
var co2 = [];
for(i in output.co2){
if(output.co2[i] > 10000)
co2.push("null");
else
co2.push(output.co2[i]);
}
output.co2 = co2;
var co2max = MathMAX(co2);
var co2min = MathMIN(co2);
var co2increase = co2max - co2min;
var Headspace = 470;
var Temp = 298;
var Rconstant = 82.05;
//conversion factor is assuming 25g soil (soil g x 1000)
var conversionfactor = 25000;
//converts to weight of C only and not of CO2
var conversionfactor2 = 12000;
var ugCgsoil = MathROUND((((co2increase * Headspace) / conversionfactor) / (Temp * Rconstant)) * conversionfactor2);
if (co2max == 10000){
output["Max CO2"] = null;
output["CO2 increase"] = null;
output["ugC.gsoil"] = null;
danger ('the CO2 level is too high and has saturated the sensor, try diluting the sample', output);
}
else{
output["Max CO2"] = co2max;
output["Min CO2"] = co2min;
output["CO2 increase"] = co2increase;
output["ugC.gsoil"] = ugCgsoil;
}
// Return data
return output;{
"time_offset": 240,
"time": 1494961230678,
"device_name": "MultispeQ",
"device_version": "1",
"device_id": "ff:ff:ff:ff",
"device_battery": -256,
"device_firmware": 1.18,
"sample": [
{
"time": 1494961230678,
"light_intensity_raw": 0,
"data_raw": [
],
"protocol_id": 1,
"set": [
{
"time": 1494961230678,
"blank:": "blank"
},
{
"time": 1494961230720,
"co2": 492,
"data_raw": [
]
},
{
"time": 1494961235837,
"co2": 496,
"data_raw": [
]
},
{
"time": 1494961240988,
"co2": 644,
"data_raw": [
]
},
{
"time": 1494961246140,
"co2": 779,
"data_raw": [
]
},
{
"time": 1494961251291,
"co2": 932,
"data_raw": [
]
},
{
"time": 1494961256441,
"co2": 1010,
"data_raw": [
]
},
{
"time": 1494961261643,
"co2": 1068,
"data_raw": [
]
},
{
"time": 1494961266794,
"co2": 1088,
"data_raw": [
]
},
{
"time": 1494961271945,
"co2": 1085,
"data_raw": [
]
},
{
"time": 1494961277096,
"co2": 1062,
"data_raw": [
]
},
{
"time": 1494961282247,
"co2": 1039,
"data_raw": [
]
},
{
"time": 1494961287399,
"co2": 1008,
"data_raw": [
]
},
{
"time": 1494961292549,
"co2": 65535,
"data_raw": [
]
},
{
"time": 1494961297751,
"co2": 931,
"data_raw": [
]
},
{
"time": 1494961302901,
"co2": 892,
"data_raw": [
]
},
{
"time": 1494961308052,
"co2": 878,
"data_raw": [
]
},
{
"time": 1494961313204,
"co2": 853,
"data_raw": [
]
},
{
"time": 1494961318355,
"co2": 838,
"data_raw": [
]
},
{
"time": 1494961323505,
"co2": 814,
"data_raw": [
]
},
{
"time": 1494961328657,
"co2": 796,
"data_raw": [
]
},
{
"time": 1494961333910,
"co2": 768,
"data_raw": [
]
},
{
"time": 1494961339060,
"co2": 744,
"data_raw": [
]
},
{
"time": 1494961344210,
"co2": 727,
"data_raw": [
]
},
{
"time": 1494961349362,
"co2": 702,
"data_raw": [
]
}
]
}
],
"app_os": "win",
"app_name": "PhotosynQ",
"app_version": "0.3.7",
"app_device": "x86-64",
"location": [
"42.7225890",
"-84.4746860"
],
"ConsoleMacro": "209"
}
