This MATLAB function glObjToJson takes a custom MATLAB GreenLight model object - gl as input and returns a JSON string representation of the object.
- Download the repository or copy the functions (
glObjToJson,encodeNestedObj, andencodeFieldValue) to your project folder. - Add the folder containing these functions to your MATLAB path using the
addpathfunction:
addpath('path/to/functions/folder');Convert a custom MATLAB object to a JSON string:
json_str = glObjToJson(gl);Where gl is an instance of the GreenLight model, To generate a gl instance using GreenLight, you can run the runGreenLight.m file located in the runScenarios folder of the GreenLightrepository.
json_str = glObjToJson(gl);Convert a custom MATLAB object "gl" to a JSON string.
gl: A MATLAB GreenLight model object that may have nested structures, instances of the DynamicModel or DynamicElement class, function handles, or other field types.
json_str: A JSON string representation of the input objectgl, with all function handles inglconverted to strings.
encodedObj = encodeNestedObj(obj);Encode a nested MATLAB object into a new object.
obj: A MATLAB object that may have nested structures, instances of the DynamicModel or DynamicElement class, function handles, or other field types.
encodedObj: An encoded representation of the input object "obj".
encodedValue = encodeFieldValue(fieldName, fieldValue);Encode a field value based on its name and type.
fieldName: The name of the field to be encoded.fieldValue: The value of the field to be encoded.
encodedValue: The encoded value of the input field value.
Consider a MATLAB object gl with nested structures, instances of custom classes, such as DynamicModel, DynamicElement, and function handles:
Calls the runGreenLight function from MATLAB with the specified lamp type, season, filename, parameters, crop maturity and return values.
gl = runGreenLight(lampType, season, filename, paramNames, paramVals, isMature)To convert this gl object to a JSON string, simply call the glObjToJson function:
json_data = glObjToJson(gl)The sample resulting JSON string json_str will be:
{
"x": {
"co2Air": {
"label": "x.co2Air",
"def": "@(x,a,u,d,p)(1/(p.capCo2Air))*(a.mcBlowAir+a.mcExtAir+a.mcPadAir-(a.mcAirCan)-(a.mcAirTop)-(a.mcAirOut))",
"val": [
[
0,
811.57497020754624
],
[
300,
811.75447291764658
]
]
}
},
"a": {
"tauShScrPar": {
"label": "a.tauShScrPar",
"def": "@(x,a,u,d,p)1-((u.shScr)*(1-(p.tauShScrPar)))",
"val": [
[
0,
1
],
[
300,
1
]
]
},
"tauShScrPerPar":{
"label":"a.tauShScrPerPar",
"def":"@(x,a,u,d,p)1-((u.shScrPer)*(1-(p.tauShScrPerPar)))",
"val":[
[
0,
1
],
[
300,
1
]
]
},
},
"d": {
"iGlob": {
"label": "d.iGlob",
"def": "@(x,a,u,d,p)d.iGlob",
"val": [
[
0,
0
],
[
300,
0
]
]
}
},
"p": {
"alfaLeafAir": {
"label": "p.alfaLeafAir",
"def": "@(x,a,u,d,p)p.alfaLeafAir",
"val": 5
},
"L": {
"label": "p.L",
"def": "@(x,a,u,d,p)p.L",
"val": 2.45E+6
},
"sigma": {
"label": "p.sigma",
"def": "@(x,a,u,d,p)p.sigma",
"val": 5.67E-8
},
"epsCan": {
"label": "p.epsCan",
"def": "@(x,a,u,d,p)p.epsCan",
"val": 1
}
},
"u": {
"boil": {
"label": "0+1.*(1./(1+exp(((-2./(p.tHeatBand)).*4.6052).*(x.tAir-(a.heatSetPoint)-((p.tHeatBand)/2)))))",
"def": "@(x,a,u,d,p)0+1.*(1./(1+exp(((-2./(p.tHeatBand)).*4.6052).*(x.tAir-((max(((((p.lampsOn)~=(p.lampsOff)).*(((p.lampsOn)<(p.lampsOff)).*(min(max(0,min(1,24*(x.time-(floor(x.time)))-(p.lampsOn)+1)),max(0,min(1,p.lampsOff-(24*(x.time-(floor(x.time))))+1))))+(1-((p.lampsOn)<(p.lampsOff))).*(max(max(0,min(1,24*(x.time-(floor(x.time)))-(p.lampsOn)+1)),max(0,min(1,p.lampsOff-(24*(x.time-(floor(x.time))))+1)))))).*((d.dayRadSum)<(p.lampRadSumLimit))).*((((p.dayLampStart)<=(p.dayLampStop)).*(((p.dayLampStart)<(mod(x.time,365.2425)))&((mod(x.time,365.2425))<(p.dayLampStop)))+(1-((p.dayLampStart)<=(p.dayLampStop))).*(((p.dayLampStart)<(mod(x.time,365.2425)))|((mod(x.time,365.2425))<(p.dayLampStop)))).*1),d.isDay))*(p.tSpDay)+(1-(max(((((p.lampsOn)~=(p.lampsOff)).*(((p.lampsOn)<(p.lampsOff)).*(min(max(0,min(1,24*(x.time-(floor(x.time)))-(p.lampsOn)+1)),max(0,min(1,p.lampsOff-(24*(x.time-(floor(x.time))))+1))))+(1-((p.lampsOn)<(p.lampsOff))).*(max(max(0,min(1,24*(x.time-(floor(x.time)))-(p.lampsOn)+1)),max(0,min(1,p.lampsOff-(24*(x.time-(floor(x.time))))+1)))))).*((d.dayRadSum)<(p.lampRadSumLimit))).*((((p.dayLampStart)<=(p.dayLampStop)).*(((p.dayLampStart)<(mod(x.time,365.2425)))&((mod(x.time,365.2425))<(p.dayLampStop)))+(1-((p.dayLampStart)<=(p.dayLampStop))).*(((p.dayLampStart)<(mod(x.time,365.2425)))|((mod(x.time,365.2425))<(p.dayLampStop)))).*1),d.isDay)))*(p.tSpNight)+(p.heatCorrection)*((((1.*((d.iGlob)<(p.lampsOffSun))).*((d.dayRadSum)<(p.lampRadSumLimit))).*((((p.lampsOn)<=(p.lampsOff)).*(((p.lampsOn)<(24*(x.time-(floor(x.time)))))&((24*(x.time-(floor(x.time))))<(p.lampsOff)))+(1-((p.lampsOn)<=(p.lampsOff))).*(((p.lampsOn)<(24*(x.time-(floor(x.time)))))|((24*(x.time-(floor(x.time))))<(p.lampsOff)))).*1)).*((((p.dayLampStart)<=(p.dayLampStop)).*(((p.dayLampStart)<(mod(x.time,365.2425)))&((mod(x.time,365.2425))<(p.dayLampStop)))+(1-((p.dayLampStart)<=(p.dayLampStop))).*(((p.dayLampStart)<(mod(x.time,365.2425)))|((mod(x.time,365.2425))<(p.dayLampStop)))).*1)))-((p.tHeatBand)/2)))))",
"val": [
[
0,
0.0099006978376994809
],
[
300,
0.99999982425931389
]
]
}
},
"c": [],
"g": [],
"t": {
"label": "10-Jan-2005 01:00:00",
"def": [],
"val": [
0,
300.00000223517418
]
},
"e": []
}You can then save this JSON string to a file, a complete JSON file is here, or use it in other applications that work with JSON data.
- The
glObjToJsonfunction is designed to work with GreenLight model MATLAB objects that have nested structures, instances of theDynamicModelorDynamicElementclass, function handles, and other field types. However, it may not handle other possible MATLAB data types or custom classes. - The function currently assumes that function handles are only present in fields named 'def'. If you have function handles with different field names, you may need to modify the
encodeFieldValuefunction accordingly. - The function may not handle very large or complex objects efficiently.
If you have any suggestions, improvements, or bug reports, please create an issue or submit a pull request on the GitHub repository . Your contributions are greatly appreciated!