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finished statistical UI

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This commit is contained in:
Pei-Yun Sun 2020-10-20 15:11:44 +11:00
parent f4a97c8987
commit 8ff87b6a4f
3 changed files with 38 additions and 38 deletions
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BIN
src/controller/__pycache__/general_controller.cpython-38.pyc
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8
src/controller/general_controller.py
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@ -104,7 +104,7 @@ class StatisticalData(Resource):
'feedback_number', 0) + 1
# age
if not each_content['ageCorrectness']:
if each_content['ageCorrectness'] == False:
statistical_data['feedback_data']['age']['wrong'][
each_content['ageFeedback']] = \
statistical_data['feedback_data']['age'][
@ -116,7 +116,7 @@ class StatisticalData(Resource):
each_content['ageFeedback'], 0) + 1
# gender
if not each_content['genderCorrectness']:
if each_content['genderCorrectness'] == False:
statistical_data['feedback_data']['gender']['wrong'][
each_content['genderFeedback']] = \
statistical_data['feedback_data']['gender'][
@ -127,7 +127,7 @@ class StatisticalData(Resource):
statistical_data['feedback_data']['gender']['correct'].get(
each_content['genderFeedback'], 0) + 1
if not each_content['emotionCorrectness']:
if each_content['emotionCorrectness'] == False:
statistical_data['feedback_data']['emotion']['wrong'][
each_content['emotionFeedback']] = \
statistical_data['feedback_data']['emotion']['wrong'].get(
@ -150,7 +150,7 @@ class StatisticalData(Resource):
'totalNumberOfGenderPrediction': statistical_data['prediction_data']['gender'],
'totalNumberOfGenderCorrectFeedback': statistical_data['feedback_data']['gender']['correct'],
'totalNumberOfGenderdWrongFeedback': statistical_data['feedback_data']['gender']['wrong'],
'totalNumberOfGenderWrongFeedback': statistical_data['feedback_data']['gender']['wrong'],
'totalNumberOfEmotionPrediction': statistical_data['prediction_data']['emotion'],
'totalNumberOfEmotionCorrectFeedback': statistical_data['feedback_data']['emotion']['correct'],

68
src/templates/statisticalPage.html
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@ -163,40 +163,40 @@
});
}
function drawComparisonBar(canvas, labels, dataA, dataB, title) {
new Chart(canvas, {
type: 'bar',
data: {
labels: labels,
datasets: [{
label: 'Cat',
data: Object.values(dataA),
backgroundColor:
'rgba(255, 99, 132, 0.2)',
order: 1
},
{
label: 'Dog',
data: Object.values(dataB),
type: 'bar',
backgroundColor:
'rgba(54, 162, 235, 0.2)',
order: 2
}]
},
options: {
title: {display: true, text: title},
legend: {display: true},
scales: {
yAxes: [{
ticks: {
beginAtZero: true,
}
}]
},
}
});
}
// function drawComparisonBar(canvas, labels, dataA, dataB, title) {
// new Chart(canvas, {
// type: 'bar',
// data: {
// labels: labels,
// datasets: [{
// label: 'Cat',
// data: Object.values(dataA),
// backgroundColor:
// 'rgba(255, 99, 132, 0.2)',
// order: 1
// },
// {
// label: 'Dog',
// data: Object.values(dataB),
// type: 'bar',
// backgroundColor:
// 'rgba(54, 162, 235, 0.2)',
// order: 2
// }]
// },
// options: {
// title: {display: true, text: title},
// legend: {display: true},
// scales: {
// yAxes: [{
// ticks: {
// beginAtZero: true,
// }
// }]
// },
// }
// });
// }
function getTotalPrediction() {
$.get("/api/get-statistical-results", function (response) {