mirror of
https://github.com/hobbesjaap/time-sampling-form.git
synced 2024-11-12 13:42:58 +00:00
73 lines
3.7 KiB
GDScript
73 lines
3.7 KiB
GDScript
extends CanvasLayer
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onready var global_ints = $"/root/GlobalInts"
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func _ready():
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pass
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func _process(delta):
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# $"%SaveReport".visible = true
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# $"%BackMainMenu".visible = true
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pass
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func _on_SaveReport_pressed():
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$"%SaveReport".visible = false
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$"%BackMainMenu".visible = false
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# WIP: Web Version
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# var file = File.new()
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# file.open("res://screenshot.png", File.READ)
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# var base_64_data = Marshalls.raw_to_base64(file.get_buffer(file.get_len()))
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# var url = "data:image/jpg;base64,"+base_64_data
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# var comand = "var a = document.createElement('a'); a.href = '" + url + "'; a.setAttribute( 'download' , 'filename.jpg' ); a.click();"
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# JavaScript.eval(comand, true)
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# WIP: Non-Web Version
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var image = get_viewport().get_texture().get_data()
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image.flip_y()
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image.save_png("user://results.png")
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func _on_BackMainMenu_pressed():
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global_ints.reset_all_vars()
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var _ignore = get_tree().reload_current_scene()
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func _on_Results_visibility_changed():
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if global_ints.generate_results == true:
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global_ints.generate_results = false
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global_ints.total_observed_time = global_ints.total_behaviours / 3
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global_ints.one_behaviour_percent = (global_ints.one_behaviour_score / global_ints.total_behaviours) * 100
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global_ints.two_behaviour_percent = (global_ints.two_behaviour_score / global_ints.total_behaviours) * 100
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global_ints.three_behaviour_percent = (global_ints.three_behaviour_score / global_ints.total_behaviours) * 100
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global_ints.four_behaviour_percent = (global_ints.four_behaviour_score / global_ints.total_behaviours) * 100
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global_ints.five_behaviour_percent = (global_ints.five_behaviour_score / global_ints.total_behaviours) * 100
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var result_text : String
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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.")
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$"%FullResult".text = result_text
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# This is where we generate the bars
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$"%ObsBar1".max_value = global_ints.total_behaviours
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$"%ObsBar1".value = global_ints.one_behaviour_score
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$"%ObsBar2".max_value = global_ints.total_behaviours
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$"%ObsBar2".value = global_ints.two_behaviour_score
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$"%ObsBar3".max_value = global_ints.total_behaviours
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$"%ObsBar3".value = global_ints.three_behaviour_score
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$"%ObsBar4".max_value = global_ints.total_behaviours
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$"%ObsBar4".value = global_ints.four_behaviour_score
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$"%ObsBar5".max_value = global_ints.total_behaviours
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$"%ObsBar5".value = global_ints.five_behaviour_score
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