Fix issue error handling (KTP dan NPWP)
This commit is contained in:
parent
2a559da0d3
commit
c0709ca144
@ -126,8 +126,8 @@ const Verify = () => {
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img.onload = () => {
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URL.revokeObjectURL(img.src);
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if (img.width > 300 || img.height > 300) {
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reject('Image dimensions must not exceed 300x300 pixels');
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if (img.width > 320 || img.height > 200) {
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reject('Image dimensions must not exceed 320x200 pixels');
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} else {
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resolve(true);
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}
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@ -142,6 +142,7 @@ const Verify = () => {
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// Update handleImageUpload to include dimension checking
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const handleImageUpload = async (file) => {
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setErrorMessage('');
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setFile(file);
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setSelectedImageName(file.name);
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@ -206,7 +207,8 @@ const Verify = () => {
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};
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const handleApiError = (response) => {
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// Handle 400 Bad Request
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// Handle 400 Bad
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if (response.status_code === 400) {
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console.error('❌ Bad Request:', {
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status: response.status_code,
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@ -233,9 +235,9 @@ const Verify = () => {
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};
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// Submit form and trigger OCR API
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const handleCheckClick = async () => {
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const handleCheckClick = () => {
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if (!validateForm()) {
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return; // Form is not valid
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return;
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}
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setIsLoading(true);
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@ -243,86 +245,75 @@ const Verify = () => {
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formData.append('application_id', applicationId);
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formData.append('file', file);
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try {
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const response = await fetch(`${BASE_URL}/ocr-ktp`, {
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method: 'POST',
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headers: {
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'accept': 'application/json',
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'x-api-key': API_KEY,
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},
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body: formData,
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});
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if (!response.ok) {
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throw new Error('OCR processing failed, Please check your input, Please check your input');
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}
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const result = await response.json();
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console.log('📡 API Response:', result);
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// Log the full result to verify structure
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console.log('OCR API Response:', result);
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if (result.status_code === 201) {
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const responseData = result.details.data?.['data-ktp'] || {};
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console.log('✅ OCR Success:', result);
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const updateQuota = result.details.data.quota
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const data = {
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nik: responseData.nik || 'N/A',
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district: responseData.kecamatan || 'N/A',
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name: responseData.nama || 'N/A',
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city: responseData.kabkot || 'N/A',
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dob: responseData.tanggal_lahir || 'N/A',
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state: responseData.provinsi || 'N/A',
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gender: responseData.jenis_kelamin || 'N/A',
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religion: responseData.agama || 'N/A',
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bloodType: responseData.golongan_darah || 'N/A',
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maritalStatus: responseData.status_perkawinan || 'N/A',
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address: responseData.alamat || 'N/A',
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occupation: responseData.pekerjaan || 'N/A',
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rtRw: `${responseData.rt || 'N/A'}/${responseData.rw || 'N/A'}`,
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nationality: responseData.kewarganegaraan || 'N/A',
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imageUrl: result.details.data?.image_url || '', // Properly access image_url
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};
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setSelectedQuota(updateQuota)
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console.log('Image URL from OCR:', result.details.data?.image_url); // Log the image URL correctly
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setData(data);
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setShowResult(true);
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setErrorMessage('');
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setSelectedImageName('');
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setResultImageLabel(selectedImageName);
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// Fetch image if image URL exists in the result
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if (result.details.data?.image_url) {
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const imageFileName = result.details.data.image_url.split('/').pop(); // Get the image filename
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console.log('Image file name:', imageFileName); // Debug the file name
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await fetchImage(imageFileName); // Call the fetchImage function to fetch the image
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}
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} else {
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const errorMsg = handleApiError(result);
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setErrorMessage(errorMsg);
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setShowResult(false);
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console.error('❌ OCR Failed:', {
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error: errorMsg,
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response: result
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fetch(`${BASE_URL}/ocr-ktp`, {
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method: 'POST',
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headers: {
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'accept': 'application/json',
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'x-api-key': API_KEY,
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},
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body: formData,
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})
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.then(response => {
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if (response.status === 400) {
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return response.json().then(errorData => {
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throw new Error(errorData.detail);
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});
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}
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} catch (error) {
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const errorMsg = 'Internal Server Error';
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setErrorMessage(errorMsg);
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if (!response.ok) {
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throw new Error('OCR processing failed, Please check your input');
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}
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return response.json();
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})
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.then(result => {
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console.log('📡 API Response:', result);
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if (result.status_code !== 201) {
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throw new Error(handleApiError(result));
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}
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const responseData = result.details.data?.['data-ktp'] || {};
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const updateQuota = result.details.data.quota;
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const data = {
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nik: responseData.nik || 'N/A',
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district: responseData.kecamatan || 'N/A',
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name: responseData.nama || 'N/A',
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city: responseData.kabkot || 'N/A',
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dob: responseData.tanggal_lahir || 'N/A',
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state: responseData.provinsi || 'N/A',
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gender: responseData.jenis_kelamin || 'N/A',
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religion: responseData.agama || 'N/A',
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bloodType: responseData.golongan_darah || 'N/A',
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maritalStatus: responseData.status_perkawinan || 'N/A',
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address: responseData.alamat || 'N/A',
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occupation: responseData.pekerjaan || 'N/A',
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rtRw: `${responseData.rt || 'N/A'}/${responseData.rw || 'N/A'}`,
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nationality: responseData.kewarganegaraan || 'N/A',
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imageUrl: result.details.data?.image_url || '',
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};
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setSelectedQuota(updateQuota);
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setData(data);
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setShowResult(true);
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setErrorMessage('');
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setSelectedImageName('');
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setResultImageLabel(selectedImageName);
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if (result.details.data?.image_url) {
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const imageFileName = result.details.data.image_url.split('/').pop();
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return fetchImage(imageFileName);
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}
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})
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.catch(error => {
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console.error('🔥 Request Failed:', error);
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setErrorMessage(error.message);
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setShowResult(false);
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console.error('🔥 Request Failed:', {
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error: error.message,
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detail: error
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});
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} finally {
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})
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.finally(() => {
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setIsLoading(false);
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}
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});
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};
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// The fetchImage function you already have in your code
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const fetchImage = async (imageFileName) => {
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@ -602,7 +593,7 @@ const Verify = () => {
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<p style={styles.uploadText}>Drag and Drop Here</p>
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<p>Or</p>
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<a href="#" onClick={() => fileInputRef.current.click()} style={styles.browseLink}>Browse</a>
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<p className="text-muted" style={styles.uploadText}>Recommended size: 300x300 (Max File Size: 2MB)</p>
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<p className="text-muted" style={styles.uploadText}>Recommended size: 320x200 (Max File Size: 2MB)</p>
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<p className="text-muted" style={styles.uploadText}>Supported file types: JPG, JPEG</p>
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</div>
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@ -126,8 +126,8 @@ const Verify = () => {
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img.onload = () => {
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URL.revokeObjectURL(img.src);
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if (img.width > 300 || img.height > 300) {
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reject('Image dimensions must not exceed 300x300 pixels');
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if (img.width > 320 || img.height > 200) {
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reject('Image dimensions must not exceed 320x200 pixels');
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} else {
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resolve(true);
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}
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@ -142,6 +142,7 @@ const Verify = () => {
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// Update handleImageUpload function
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const handleImageUpload = async (file) => {
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setErrorMessage('');
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setFile(file);
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setSelectedImageName(file.name);
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@ -190,25 +191,48 @@ const Verify = () => {
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applicationId: '',
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file: ''
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};
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if (!applicationId) {
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errors.applicationId = 'Please select an Application ID.';
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}
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if (!file) {
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errors.file = 'Please upload an image file.';
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} else if (imageError) {
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errors.file = imageError;
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}
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setValidationErrors(errors);
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return Object.values(errors).every(error => error === '');
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};
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// Submit form and trigger OCR API
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const handleCheckClick = async () => {
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const handleApiError = (response) => {
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if (response.status_code === 400) {
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console.error('❌ Bad Request:', {
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status: response.status_code,
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detail: response.detail || 'Mohon Upload NPWP'
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});
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return response.detail || 'Mohon Upload NPWP';
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}
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if (response.status_code >= 500) {
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console.error('🔥 Server Error:', {
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status: response.status_code,
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message: 'Internal Server Error'
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});
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return 'Internal Server Error';
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}
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console.error('⚠️ Unknown Error:', {
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status: response.status_code,
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response
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});
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return 'Terjadi kesalahan. Silakan coba lagi.';
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};
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const handleCheckClick = () => {
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if (!validateForm()) {
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return; // Form is not valid
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return;
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}
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setIsLoading(true);
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@ -216,63 +240,66 @@ const Verify = () => {
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formData.append('application_id', applicationId);
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formData.append('file', file);
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try {
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const response = await fetch(`${BASE_URL}/ocr-npwp`, {
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method: 'POST',
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headers: {
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'accept': 'application/json',
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'x-api-key': API_KEY,
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},
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body: formData,
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});
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fetch(`${BASE_URL}/ocr-npwp`, {
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method: 'POST',
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headers: {
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'accept': 'application/json',
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'x-api-key': API_KEY,
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},
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body: formData,
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})
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.then(response => {
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if (response.status === 400) {
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return response.json().then(errorData => {
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throw new Error(errorData.detail);
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});
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}
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if (!response.ok) {
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throw new Error('OCR processing failed');
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throw new Error('OCR processing failed, Please check your input');
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}
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return response.json();
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})
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.then(result => {
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console.log('📡 API Response:', result);
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if (result.status_code !== 201) {
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throw new Error(handleApiError(result));
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}
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const result = await response.json();
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const responseData = result.details.data?.['data-npwp'] || {};
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const updateQuota = result.details.data.quota;
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// Log the full result to verify structure
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console.log('OCR API Response:', result);
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const data = {
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npwp: responseData.npwp || 'N/A',
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npwpName: responseData.name || 'N/A',
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npwpAddress: responseData.address || 'N/A',
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npwpX: responseData.npwp_x || 'N/A',
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imageUrl: result.details.data?.image_url || '',
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};
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if (result.status_code === 201) {
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const responseData = result.details.data?.['data-npwp'] || {};
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const updateQuota = result.details.data.quota
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const data = {
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npwp: responseData.npwp || 'N/A',
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npwpName: responseData.name || 'N/A',
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npwpAddress: responseData.address || 'N/A',
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npwpX: responseData.npwp_x || 'N/A',
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imageUrl: result.details.data?.image_url || '', // Properly access image_url
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};
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setSelectedQuota(updateQuota)
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setSelectedQuota(updateQuota);
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setData(data);
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setShowResult(true);
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setErrorMessage('');
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setSelectedImageName('');
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setResultImageLabel(selectedImageName);
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console.log('Image URL from OCR:', result.details.data?.image_url); // Log the image URL correctly
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setData(data);
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setShowResult(true);
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setErrorMessage('');
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setSelectedImageName('');
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setResultImageLabel(selectedImageName);
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// Fetch image if image URL exists in the result
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if (result.details.data?.image_url) {
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const imageFileName = result.details.data.image_url.split('/').pop(); // Get the image filename
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console.log('Image file name:', imageFileName); // Debug the file name
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await fetchImage(imageFileName); // Call the fetchImage function to fetch the image
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}
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} else {
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setErrorMessage('OCR processing failed');
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if (result.details.data?.image_url) {
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const imageFileName = result.details.data.image_url.split('/').pop();
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return fetchImage(imageFileName);
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}
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} catch (error) {
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setErrorMessage(error.message || 'Error during OCR processing');
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} finally {
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})
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.catch(error => {
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console.error('🔥 Request Failed:', error);
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setErrorMessage(error.message);
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setShowResult(false);
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})
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.finally(() => {
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setIsLoading(false);
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}
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});
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};
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// The fetchImage function you already have in your code
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const fetchImage = async (imageFileName) => {
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setIsLoading(true);
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@ -425,16 +452,6 @@ const Verify = () => {
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},
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};
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const formatFileSize = (sizeInBytes) => {
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if (sizeInBytes < 1024) {
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return `${sizeInBytes} bytes`; // Jika ukuran lebih kecil dari 1 KB
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} else if (sizeInBytes < 1048576) {
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return `${(sizeInBytes / 1024).toFixed(2)} KB`; // Jika ukuran lebih kecil dari 1 MB
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} else {
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return `${(sizeInBytes / 1048576).toFixed(2)} MB`; // Jika ukuran lebih besar dari 1 MB
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}
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};
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if (!isServer) {
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return (
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<div style={{ textAlign: 'center', marginTop: '50px' }}>
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@ -549,7 +566,7 @@ const Verify = () => {
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<p style={styles.uploadText}>Drag and Drop Here</p>
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<p>Or</p>
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<a href="#" onClick={() => fileInputRef.current.click()} style={styles.browseLink}>Browse</a>
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<p className="text-muted" style={styles.uploadText}>Recommended size: 300x300 (Max File Size: 2MB)</p>
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<p className="text-muted" style={styles.uploadText}>Recommended size: 320x200 (Max File Size: 2MB)</p>
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<p className="text-muted" style={styles.uploadText}>Supported file types: JPG, JPEG, PNG</p>
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</div>
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@ -567,11 +584,6 @@ const Verify = () => {
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{selectedImageName && (
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<div className="mt-3">
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<p><strong>File:</strong> {selectedImageName}</p>
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{file && (
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<p style={styles.fileSize}>
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Size: {formatFileSize(file.size)}
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</p>
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)}
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<button className="btn btn-danger" onClick={handleImageCancel}>
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<FontAwesomeIcon icon={faTimes} className="me-2" />Cancel
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</button>
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@ -119,19 +119,63 @@ const Verify = () => {
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}
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};
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const handleImageUpload = (file) => {
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const checkImageDimensions = (file) => {
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return new Promise((resolve, reject) => {
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const img = new Image();
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img.src = URL.createObjectURL(file);
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img.onload = () => {
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URL.revokeObjectURL(img.src);
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if (img.width > 320 || img.height > 200) {
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reject('Image dimensions must not exceed 320x200 pixels');
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} else {
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resolve(true);
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}
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};
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img.onerror = () => {
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URL.revokeObjectURL(img.src);
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reject('Failed to load image');
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};
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});
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};
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const handleImageUpload = async (file) => {
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setErrorMessage('');
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setFile(file);
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setSelectedImageName(file.name);
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// Validate file type
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if (!fileTypes.includes(file.type)) {
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setImageError('Invalid file type. Only JPG, JPEG, and PNG are allowed.');
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} else if (file.size > 2 * 1024 * 1024) { // Max 2MB
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setImageError('File size exceeds 2MB.');
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} else {
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try {
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// Check if file is PNG
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if (file.type === 'image/png') {
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setImageError('The image format is not suitable. Only JPG and JPEG files are allowed.');
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setFile(null);
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setSelectedImageName('');
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return;
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}
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// Validate file type
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if (!fileTypes.includes(file.type)) {
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setImageError('Invalid file type. Only JPG and JPEG are allowed.');
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return;
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}
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// Validate file size
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if (file.size > 2 * 1024 * 1024) {
|
||||
setImageError('File size exceeds 2MB.');
|
||||
return;
|
||||
}
|
||||
|
||||
// Validate image dimensions
|
||||
await checkImageDimensions(file);
|
||||
setImageError('');
|
||||
|
||||
} catch (error) {
|
||||
setImageError(error);
|
||||
setFile(null);
|
||||
setSelectedImageName('');
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
const handleImageCancel = () => {
|
||||
setFile(null);
|
||||
@ -146,25 +190,48 @@ const Verify = () => {
|
||||
applicationId: '',
|
||||
file: ''
|
||||
};
|
||||
|
||||
|
||||
if (!applicationId) {
|
||||
errors.applicationId = 'Please select an Application ID.';
|
||||
}
|
||||
|
||||
|
||||
if (!file) {
|
||||
errors.file = 'Please upload an image file.';
|
||||
} else if (imageError) {
|
||||
errors.file = imageError;
|
||||
}
|
||||
|
||||
|
||||
setValidationErrors(errors);
|
||||
return Object.values(errors).every(error => error === '');
|
||||
};
|
||||
|
||||
// Submit form and trigger OCR API
|
||||
const handleCheckClick = async () => {
|
||||
|
||||
const handleApiError = (response) => {
|
||||
if (response.status_code === 400) {
|
||||
console.error('❌ Bad Request:', {
|
||||
status: response.status_code,
|
||||
detail: response.detail || 'Mohon Upload SIM'
|
||||
});
|
||||
return response.detail || 'Mohon Upload SIM';
|
||||
}
|
||||
|
||||
if (response.status_code >= 500) {
|
||||
console.error('🔥 Server Error:', {
|
||||
status: response.status_code,
|
||||
message: 'Internal Server Error'
|
||||
});
|
||||
return 'Internal Server Error';
|
||||
}
|
||||
|
||||
console.error('⚠️ Unknown Error:', {
|
||||
status: response.status_code,
|
||||
response
|
||||
});
|
||||
return 'Terjadi kesalahan. Silakan coba lagi.';
|
||||
};
|
||||
|
||||
const handleCheckClick = () => {
|
||||
if (!validateForm()) {
|
||||
return; // Form is not valid
|
||||
return;
|
||||
}
|
||||
|
||||
setIsLoading(true);
|
||||
@ -172,71 +239,74 @@ const Verify = () => {
|
||||
formData.append('application_id', applicationId);
|
||||
formData.append('file', file);
|
||||
|
||||
try {
|
||||
const response = await fetch(`${BASE_URL}/ocr-sim`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'accept': 'application/json',
|
||||
'x-api-key': API_KEY,
|
||||
},
|
||||
body: formData,
|
||||
});
|
||||
|
||||
fetch(`${BASE_URL}/ocr-sim`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'accept': 'application/json',
|
||||
'x-api-key': API_KEY,
|
||||
},
|
||||
body: formData,
|
||||
})
|
||||
.then(response => {
|
||||
if (response.status === 400) {
|
||||
return response.json().then(errorData => {
|
||||
throw new Error(errorData.detail);
|
||||
});
|
||||
}
|
||||
if (!response.ok) {
|
||||
throw new Error('OCR processing failed');
|
||||
throw new Error('OCR processing failed, Please check your input');
|
||||
}
|
||||
return response.json();
|
||||
})
|
||||
.then(result => {
|
||||
console.log('📡 API Response:', result);
|
||||
|
||||
if (result.status_code !== 201) {
|
||||
throw new Error(handleApiError(result));
|
||||
}
|
||||
|
||||
const result = await response.json();
|
||||
const responseData = result.details.data?.['data-sim'] || {};
|
||||
const updateQuota = result.details.data.quota;
|
||||
|
||||
// Log the full result to verify structure
|
||||
console.log('OCR API Response:', result);
|
||||
const data = {
|
||||
sim: responseData.sim || 'N/A',
|
||||
simName: responseData.name || 'N/A',
|
||||
simAddress: responseData.address || 'N/A',
|
||||
simType: responseData.type || 'N/A',
|
||||
simValidUntil: responseData.valid_until || 'N/A',
|
||||
simDomain: responseData.domain || 'N/A',
|
||||
simBirthPlace: responseData.birthplace || 'N/A',
|
||||
simDob: responseData.dob || 'N/A',
|
||||
simGender: responseData.gender || 'N/A',
|
||||
simHeight: responseData.height || 'N/A',
|
||||
simBlood: responseData.blood || 'N/A',
|
||||
simOccupation: responseData.occupation || 'N/A',
|
||||
imageUrl: result.details.data?.image_url || '',
|
||||
};
|
||||
|
||||
if (result.status_code === 201) {
|
||||
const responseData = result.details.data?.['data-sim'] || {};
|
||||
const updateQuota = result.details.data.quota
|
||||
|
||||
const data = {
|
||||
sim: responseData.sim || 'N/A',
|
||||
simName: responseData.name || 'N/A',
|
||||
simAddress: responseData.address || 'N/A',
|
||||
simType: responseData.type || 'N/A',
|
||||
simValidUntil: responseData.valid_until || 'N/A',
|
||||
simDomain: responseData.domain || 'N/A',
|
||||
simBirthPlace: responseData.birthplace || 'N/A',
|
||||
simDob: responseData.dob || 'N/A',
|
||||
simGender: responseData.gender || 'N/A',
|
||||
simHeight: responseData.height || 'N/A',
|
||||
simBlood: responseData.blood || 'N/A',
|
||||
simOccupation: responseData.occupation || 'N/A',
|
||||
imageUrl: result.details.data?.image_url || '', // Properly access image_url
|
||||
};
|
||||
|
||||
setSelectedQuota(updateQuota)
|
||||
setSelectedQuota(updateQuota);
|
||||
setData(data);
|
||||
setShowResult(true);
|
||||
setErrorMessage('');
|
||||
setSelectedImageName('');
|
||||
setResultImageLabel(selectedImageName);
|
||||
|
||||
console.log('Image URL from OCR:', result.details.data?.image_url); // Log the image URL correctly
|
||||
|
||||
setData(data);
|
||||
setShowResult(true);
|
||||
setErrorMessage('');
|
||||
setSelectedImageName('');
|
||||
setResultImageLabel(selectedImageName);
|
||||
|
||||
// Fetch image if image URL exists in the result
|
||||
if (result.details.data?.image_url) {
|
||||
const imageFileName = result.details.data.image_url.split('/').pop(); // Get the image filename
|
||||
console.log('Image file name:', imageFileName); // Debug the file name
|
||||
await fetchImage(imageFileName); // Call the fetchImage function to fetch the image
|
||||
}
|
||||
} else {
|
||||
setErrorMessage('OCR processing failed');
|
||||
if (result.details.data?.image_url) {
|
||||
const imageFileName = result.details.data.image_url.split('/').pop();
|
||||
return fetchImage(imageFileName);
|
||||
}
|
||||
} catch (error) {
|
||||
setErrorMessage(error.message || 'Error during OCR processing');
|
||||
} finally {
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('🔥 Request Failed:', error);
|
||||
setErrorMessage(error.message);
|
||||
setShowResult(false);
|
||||
})
|
||||
.finally(() => {
|
||||
setIsLoading(false);
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
|
||||
// The fetchImage function you already have in your code
|
||||
const fetchImage = async (imageFileName) => {
|
||||
setIsLoading(true);
|
||||
@ -388,16 +458,6 @@ const Verify = () => {
|
||||
},
|
||||
};
|
||||
|
||||
const formatFileSize = (sizeInBytes) => {
|
||||
if (sizeInBytes < 1024) {
|
||||
return `${sizeInBytes} bytes`; // Jika ukuran lebih kecil dari 1 KB
|
||||
} else if (sizeInBytes < 1048576) {
|
||||
return `${(sizeInBytes / 1024).toFixed(2)} KB`; // Jika ukuran lebih kecil dari 1 MB
|
||||
} else {
|
||||
return `${(sizeInBytes / 1048576).toFixed(2)} MB`; // Jika ukuran lebih besar dari 1 MB
|
||||
}
|
||||
};
|
||||
|
||||
if (!isServer) {
|
||||
return (
|
||||
<div style={{ textAlign: 'center', marginTop: '50px' }}>
|
||||
@ -512,7 +572,7 @@ const Verify = () => {
|
||||
<p style={styles.uploadText}>Drag and Drop Here</p>
|
||||
<p>Or</p>
|
||||
<a href="#" onClick={() => fileInputRef.current.click()} style={styles.browseLink}>Browse</a>
|
||||
<p className="text-muted" style={styles.uploadText}>Recommended size: 300x300 (Max File Size: 2MB)</p>
|
||||
<p className="text-muted" style={styles.uploadText}>Recommended size: 320x200 (Max File Size: 2MB)</p>
|
||||
<p className="text-muted" style={styles.uploadText}>Supported file types: JPG, JPEG, PNG</p>
|
||||
</div>
|
||||
|
||||
@ -523,24 +583,21 @@ const Verify = () => {
|
||||
id="imageInput"
|
||||
className="form-control"
|
||||
style={{ display: 'none' }}
|
||||
accept="image/jpeg, image/png"
|
||||
accept="image/jpeg, image/jpg"
|
||||
onChange={(e) => handleImageUpload(e.target.files[0])}
|
||||
/>
|
||||
|
||||
{selectedImageName && (
|
||||
<div className="mt-3">
|
||||
<p><strong>File:</strong> {selectedImageName}</p>
|
||||
{file && (
|
||||
<p style={styles.fileSize}>
|
||||
Size: {formatFileSize(file.size)}
|
||||
</p>
|
||||
)}
|
||||
<button className="btn btn-danger" onClick={handleImageCancel}>
|
||||
<FontAwesomeIcon icon={faTimes} className="me-2" />Cancel
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
{/* Display validation errors */}
|
||||
{validationErrors.file && <p style={styles.errorText}>{validationErrors.file}</p>}
|
||||
{imageError && <p style={styles.errorText}>{imageError}</p>}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user