time-sampling-form/godot/Results.gd

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4.7 KiB
GDScript3
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2023-10-05 22:52:48 +00:00
extends CanvasLayer
@onready var global_ints = $"/root/GlobalInts"
var js_interface;
var image : Image
var fileName : String = "results.png"
func _ready():
if OS.get_name() == "Web":
_define_js()
js_interface = JavaScriptBridge.get_interface("_HTML5FileExchange");
func _define_js()->void:
#Define JS script
JavaScriptBridge.eval("""
var _HTML5FileExchange = {};
_HTML5FileExchange.upload = function(gd_callback) {
canceled = true;
var input = document.createElement('INPUT');
input.setAttribute("type", "file");
input.setAttribute("accept", "image/png, image/jpeg, image/webp");
input.click();
input.addEventListener('change', event => {
if (event.target.files.length > 0){
canceled = false;}
var file = event.target.files[0];
var reader = new FileReader();
this.fileType = file.type;
// var fileName = file.name;
reader.readAsArrayBuffer(file);
reader.onloadend = (evt) => { // Since here's it's arrow function, "this" still refers to _HTML5FileExchange
if (evt.target.readyState == FileReader.DONE) {
this.result = evt.target.result;
gd_callback(); // It's hard to retrieve value from callback argument, so it's just for notification
}
}
});
}
""", true)
func _process(_delta):
pass
func take_screenshot():
image = get_viewport().get_texture().get_image()
if OS.get_name() == "Web" or OS.has_feature('JavaScript'):
print("We're on the web")
# We're on the web
image.clear_mipmaps()
var buffer = image.save_png_to_buffer()
JavaScriptBridge.download_buffer(buffer, fileName)
if OS.get_name() != "Web" or !OS.has_feature('JavaScript'):
# We're not on the web
print("We're not on the web")
var docs = OS.get_environment("HOME") + "/Documents"
var title = str(docs + "/results",global_ints.observed_person_name, global_ints.observation_minutes,".png")
print(title)
var _saveimage = image.save_png(title)
if OS.get_name() != "OSX":
print("We're not on MacOS")
var _openfolder = OS.shell_open(docs)
if OS.get_name() == "OSX":
print("We're on MacOS")
var _openfolder = OS.shell_open("file://" + docs)
func _on_SaveReport_pressed():
await get_tree().process_frame
$"%SaveReport".visible = false
$"%BackMainMenu".visible = false
await get_tree().process_frame
take_screenshot()
$"%SaveReport".visible = true
$"%BackMainMenu".visible = true
func _on_BackMainMenu_pressed():
global_ints.reset_all_vars()
var _ignore = get_tree().reload_current_scene()
func _on_Results_visibility_changed():
if global_ints.generate_results == true:
global_ints.generate_results = false
var result_text : String
result_text = str("Date: " , global_ints.ddmmyyyy , "\nTime: ", global_ints.observation_start_time , " to " , global_ints.observation_end_time , "\n \nThis Time Sampling Form (TSF) observation was completed by " , global_ints.observer_person_name , ". " , global_ints.observed_person_name , " was observed for " , global_ints.total_observed_time , " minute(s) during " , global_ints.observed_activity , ". \n \nDuring the observation, The ", global_ints.one_behaviour," behaviour was observed ", global_ints.one_behaviour_score, " out of ",global_ints.total_behaviours," times, resulting in ",global_ints.one_behaviour_percent,"%. The ",global_ints.two_behaviour," behaviour was observed ",global_ints.two_behaviour_score," out of ",global_ints.total_behaviours," times, resulting in ",global_ints.two_behaviour_percent,"%. The ",global_ints.three_behaviour," behaviour was observed ",global_ints.three_behaviour_score," out of ",global_ints.total_behaviours," times, resulting in ",global_ints.three_behaviour_percent,"%. The ", global_ints.four_behaviour," behaviour was observed ",global_ints.four_behaviour_score," out of ",global_ints.total_behaviours," times, resulting in ",global_ints.four_behaviour_percent,"%. The ",global_ints.five_behaviour," behaviour was observed ",global_ints.five_behaviour_score," out of ",global_ints.total_behaviours," times, resulting in ",global_ints.five_behaviour_percent,"%. ",global_ints.six_behaviour_score," intervals were not scored.")
$"%FullResult".text = result_text
# This is where we generate the bars
$"%ObsBar1".max_value = global_ints.total_behaviours
$"%ObsBar1".value = global_ints.one_behaviour_score
$"%ObsBar2".max_value = global_ints.total_behaviours
$"%ObsBar2".value = global_ints.two_behaviour_score
$"%ObsBar3".max_value = global_ints.total_behaviours
$"%ObsBar3".value = global_ints.three_behaviour_score
$"%ObsBar4".max_value = global_ints.total_behaviours
$"%ObsBar4".value = global_ints.four_behaviour_score
$"%ObsBar5".max_value = global_ints.total_behaviours
$"%ObsBar5".value = global_ints.five_behaviour_score