File size: 8,244 Bytes
cd38846
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
const API_URL = '/predict';
const WINDOW_SIZE = 30;

// Initialize the UI
document.addEventListener('DOMContentLoaded', function() {
    initializeInputs();
    setupEventListeners();
});

function initializeInputs() {
    const container = document.getElementById('dataInputs');
    container.innerHTML = '';
    
    for (let i = 0; i < WINDOW_SIZE; i++) {
        const item = document.createElement('div');
        item.className = 'data-input-item';
        
        const label = document.createElement('label');
        label.textContent = `Day ${i + 1}`;
        
        const input = document.createElement('input');
        input.type = 'number';
        input.step = '0.01';
        input.min = '0';
        input.placeholder = '0';
        input.id = `input-${i}`;
        input.addEventListener('input', validateInputs);
        
        item.appendChild(label);
        item.appendChild(input);
        container.appendChild(item);
    }
    
    updateInputCount();
}

function setupEventListeners() {
    document.getElementById('predictBtn').addEventListener('click', makePrediction);
    document.getElementById('loadSampleBtn').addEventListener('click', loadSampleData);
    document.getElementById('clearBtn').addEventListener('click', clearAll);
    document.getElementById('csvFile').addEventListener('change', handleCSVUpload);
}

function validateInputs() {
    const inputs = document.querySelectorAll('#dataInputs input');
    let filledCount = 0;
    
    inputs.forEach(input => {
        if (input.value && input.value.trim() !== '') {
            filledCount++;
        }
    });
    
    updateInputCount(filledCount);
    
    const predictBtn = document.getElementById('predictBtn');
    predictBtn.disabled = filledCount !== WINDOW_SIZE;
}

function updateInputCount(count = null) {
    if (count === null) {
        const inputs = document.querySelectorAll('#dataInputs input');
        count = Array.from(inputs).filter(input => input.value && input.value.trim() !== '').length;
    }
    
    const countElement = document.getElementById('inputCount');
    countElement.textContent = count;
    countElement.style.color = count === WINDOW_SIZE ? '#28a745' : count > 0 ? '#ffc107' : '#666';
}

function getInputValues() {
    const inputs = document.querySelectorAll('#dataInputs input');
    const values = [];
    
    inputs.forEach(input => {
        const value = parseFloat(input.value);
        if (isNaN(value)) {
            throw new Error('Please fill all 30 fields with valid numbers');
        }
        values.push(value);
    });
    
    if (values.length !== WINDOW_SIZE) {
        throw new Error('Please fill all 30 fields');
    }
    
    return values;
}

async function makePrediction() {
    const predictBtn = document.getElementById('predictBtn');
    const predictBtnText = document.getElementById('predictBtnText');
    const loadingSpinner = document.getElementById('loadingSpinner');
    const resultSection = document.getElementById('resultSection');
    const errorSection = document.getElementById('errorSection');
    
    // Hide previous results/errors
    resultSection.style.display = 'none';
    errorSection.style.display = 'none';
    
    try {
        // Get and validate input values
        const values = getInputValues();
        
        // Show loading state
        predictBtn.disabled = true;
        predictBtnText.textContent = 'Predicting...';
        loadingSpinner.style.display = 'inline-block';
        
        // Make API call
        const response = await fetch(API_URL, {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
            },
            body: JSON.stringify({
                new_cases: values
            })
        });
        
        if (!response.ok) {
            const errorData = await response.json();
            throw new Error(errorData.detail || 'Failed to get prediction');
        }
        
        const data = await response.json();
        
        // Display result
        document.getElementById('predictedValue').textContent = Math.round(data.predicted_cases).toLocaleString();
        document.getElementById('resultMessage').textContent = data.message;
        resultSection.style.display = 'block';
        
        // Scroll to result
        resultSection.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
        
    } catch (error) {
        // Display error
        document.getElementById('errorMessage').textContent = error.message;
        errorSection.style.display = 'block';
        errorSection.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
    } finally {
        // Reset button state
        predictBtn.disabled = false;
        predictBtnText.textContent = 'Make Prediction';
        loadingSpinner.style.display = 'none';
    }
}

function loadSampleData() {
    // Generate sample data (trending upward)
    const inputs = document.querySelectorAll('#dataInputs input');
    let baseValue = 100;
    
    inputs.forEach((input, index) => {
        // Create a trend with some variation
        const value = baseValue + (index * 5) + Math.random() * 20;
        input.value = Math.round(value);
    });
    
    validateInputs();
}

function clearAll() {
    const inputs = document.querySelectorAll('#dataInputs input');
    inputs.forEach(input => {
        input.value = '';
    });
    validateInputs();
    
    document.getElementById('resultSection').style.display = 'none';
    document.getElementById('errorSection').style.display = 'none';
}

function handleCSVUpload(event) {
    const file = event.target.files[0];
    if (!file) return;
    
    const reader = new FileReader();
    reader.onload = function(e) {
        try {
            const text = e.target.result;
            const lines = text.split('\n');
            
            // Try to find the new_cases column
            let newCasesIndex = -1;
            let dataStartIndex = 0;
            
            // Check if first line is header
            const header = lines[0].toLowerCase();
            if (header.includes('new_cases') || header.includes('new cases')) {
                const headers = lines[0].split(',');
                newCasesIndex = headers.findIndex(h => 
                    h.toLowerCase().includes('new') && h.toLowerCase().includes('case')
                );
                dataStartIndex = 1;
            }
            
            if (newCasesIndex === -1) {
                // Assume first column is new_cases
                newCasesIndex = 0;
            }
            
            const values = [];
            for (let i = dataStartIndex; i < lines.length && values.length < WINDOW_SIZE; i++) {
                if (lines[i].trim() === '') continue;
                const columns = lines[i].split(',');
                const value = parseFloat(columns[newCasesIndex]);
                if (!isNaN(value)) {
                    values.push(value);
                }
            }
            
            if (values.length < WINDOW_SIZE) {
                throw new Error(`CSV file must contain at least ${WINDOW_SIZE} valid values. Found ${values.length}.`);
            }
            
            // Take the last 30 values
            const last30Values = values.slice(-WINDOW_SIZE);
            
            // Fill inputs
            const inputs = document.querySelectorAll('#dataInputs input');
            last30Values.forEach((value, index) => {
                if (inputs[index]) {
                    inputs[index].value = value;
                }
            });
            
            validateInputs();
            
            // Show success message
            alert(`Successfully loaded ${WINDOW_SIZE} values from CSV file!`);
            
        } catch (error) {
            alert('Error reading CSV file: ' + error.message);
        }
    };
    
    reader.readAsText(file);
    
    // Reset file input
    event.target.value = '';
}