stash
This commit is contained in:
parent
7c91661be2
commit
796fef81be
37 changed files with 3404 additions and 108 deletions
480
frontend/src/components/workflow/steps/BulkImportStep1.vue
Normal file
480
frontend/src/components/workflow/steps/BulkImportStep1.vue
Normal file
|
|
@ -0,0 +1,480 @@
|
|||
<template>
|
||||
<div class="bulk-import-step-1">
|
||||
<div class="step-header mb-4">
|
||||
<h4 class="mb-2">File Upload</h4>
|
||||
<p class="text-muted">Upload your CSV or Excel file containing item data for bulk import.</p>
|
||||
</div>
|
||||
|
||||
<!-- File Upload Area -->
|
||||
<div class="upload-section mb-4">
|
||||
<div class="card">
|
||||
<div class="card-body">
|
||||
<div v-if="!uploadedFile" class="upload-dropzone text-center py-5"
|
||||
@dragover.prevent
|
||||
@dragenter.prevent
|
||||
@drop.prevent="handleFileDrop"
|
||||
:class="{ 'dragover': isDragOver }"
|
||||
@dragenter="isDragOver = true"
|
||||
@dragleave="isDragOver = false">
|
||||
|
||||
<b-icon-cloud-upload class="text-primary mb-3" style="font-size: 4rem;"></b-icon-cloud-upload>
|
||||
<h5 class="mb-3">Upload Your Data File</h5>
|
||||
<p class="text-muted mb-4">
|
||||
Drag and drop your CSV or Excel file here, or click to browse
|
||||
</p>
|
||||
|
||||
<input
|
||||
type="file"
|
||||
ref="fileInput"
|
||||
accept=".csv,.xlsx,.xls"
|
||||
@change="handleFileSelect"
|
||||
class="d-none"
|
||||
/>
|
||||
|
||||
<div class="mb-3">
|
||||
<button class="btn btn-primary btn-lg me-2" @click="$refs.fileInput.click()">
|
||||
<b-icon-folder-open class="me-2"></b-icon-folder-open>
|
||||
Choose File
|
||||
</button>
|
||||
<button class="btn btn-outline-info" @click="downloadTemplate">
|
||||
<b-icon-download class="me-2"></b-icon-download>
|
||||
Download Template
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div class="supported-formats">
|
||||
<small class="text-muted">
|
||||
Supported formats: CSV (.csv), Excel (.xlsx, .xls)
|
||||
</small>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- File Info Display -->
|
||||
<div v-else class="file-info">
|
||||
<div class="d-flex align-items-center justify-content-between mb-3">
|
||||
<div class="d-flex align-items-center">
|
||||
<b-icon-file-earmark-spreadsheet class="text-success me-3" style="font-size: 2rem;"></b-icon-file-earmark-spreadsheet>
|
||||
<div>
|
||||
<h6 class="mb-1">{{ uploadedFile.name }}</h6>
|
||||
<small class="text-muted">
|
||||
{{ formatFileSize(uploadedFile.size) }} •
|
||||
{{ getFileType(uploadedFile.name) }} •
|
||||
Uploaded {{ formatDateTime(uploadTime) }}
|
||||
</small>
|
||||
</div>
|
||||
</div>
|
||||
<button class="btn btn-outline-danger btn-sm" @click="removeFile">
|
||||
<b-icon-trash></b-icon-trash>
|
||||
Remove
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<!-- File Analysis Results -->
|
||||
<div v-if="fileAnalysis" class="file-analysis">
|
||||
<div class="row">
|
||||
<div class="col-md-3 mb-2">
|
||||
<div class="text-center">
|
||||
<h4 class="text-primary mb-1">{{ fileAnalysis.totalRows }}</h4>
|
||||
<small class="text-muted">Total Rows</small>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-3 mb-2">
|
||||
<div class="text-center">
|
||||
<h4 class="text-info mb-1">{{ fileAnalysis.totalColumns }}</h4>
|
||||
<small class="text-muted">Columns</small>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-3 mb-2">
|
||||
<div class="text-center">
|
||||
<h4 class="text-success mb-1">{{ fileAnalysis.validRows }}</h4>
|
||||
<small class="text-muted">Valid Rows</small>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-3 mb-2">
|
||||
<div class="text-center">
|
||||
<h4 class="text-warning mb-1">{{ fileAnalysis.errorRows }}</h4>
|
||||
<small class="text-muted">Issues Found</small>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- File Processing Status -->
|
||||
<div v-if="processing" class="processing-status mb-4">
|
||||
<div class="card">
|
||||
<div class="card-body">
|
||||
<div class="d-flex align-items-center">
|
||||
<div class="spinner-border text-primary me-3" role="status"></div>
|
||||
<div>
|
||||
<h6 class="mb-1">Processing file...</h6>
|
||||
<p class="text-muted mb-0">{{ processingStatus }}</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Column Mapping -->
|
||||
<div v-if="fileAnalysis && !processing" class="column-mapping mb-4">
|
||||
<div class="card">
|
||||
<div class="card-header">
|
||||
<h6 class="mb-0">Column Mapping</h6>
|
||||
<small class="text-muted">Map your file columns to system fields</small>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<div class="row">
|
||||
<div v-for="field in requiredFields" :key="field.key" class="col-md-6 mb-3">
|
||||
<label class="form-label">
|
||||
{{ field.label }}
|
||||
<span v-if="field.required" class="text-danger">*</span>
|
||||
</label>
|
||||
<select class="form-select" v-model="columnMapping[field.key]">
|
||||
<option value="">Select column...</option>
|
||||
<option v-for="column in detectedColumns" :key="column" :value="column">
|
||||
{{ column }}
|
||||
</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Data Preview -->
|
||||
<div v-if="previewData.length > 0" class="data-preview mb-4">
|
||||
<div class="card">
|
||||
<div class="card-header">
|
||||
<h6 class="mb-0">Data Preview</h6>
|
||||
<small class="text-muted">First 5 rows of your data</small>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<div class="table-responsive">
|
||||
<table class="table table-sm">
|
||||
<thead>
|
||||
<tr>
|
||||
<th v-for="column in detectedColumns" :key="column">{{ column }}</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr v-for="(row, index) in previewData.slice(0, 5)" :key="index">
|
||||
<td v-for="column in detectedColumns" :key="column">
|
||||
{{ row[column] || '-' }}
|
||||
</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Navigation -->
|
||||
<div class="step-navigation d-flex justify-content-between">
|
||||
<div></div>
|
||||
<button
|
||||
class="btn btn-primary"
|
||||
@click="proceedToNext"
|
||||
:disabled="!canProceed"
|
||||
>
|
||||
Next: Parse Data
|
||||
<b-icon-chevron-right class="ms-1"></b-icon-chevron-right>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<script>
|
||||
import * as BIcons from "bootstrap-icons-vue";
|
||||
|
||||
export default {
|
||||
name: 'BulkImportStep1',
|
||||
components: {
|
||||
...BIcons
|
||||
},
|
||||
props: {
|
||||
workflowInstance: {
|
||||
type: Object,
|
||||
required: true
|
||||
},
|
||||
step: {
|
||||
type: String,
|
||||
required: true
|
||||
},
|
||||
payload: {
|
||||
type: Object,
|
||||
default: () => ({})
|
||||
}
|
||||
},
|
||||
data() {
|
||||
return {
|
||||
uploadedFile: null,
|
||||
uploadTime: null,
|
||||
processing: false,
|
||||
processingStatus: '',
|
||||
isDragOver: false,
|
||||
fileAnalysis: null,
|
||||
detectedColumns: [],
|
||||
previewData: [],
|
||||
columnMapping: {},
|
||||
requiredFields: [
|
||||
{ key: 'name', label: 'Item Name', required: true },
|
||||
{ key: 'category', label: 'Category', required: false },
|
||||
{ key: 'quantity', label: 'Quantity', required: false },
|
||||
{ key: 'unit', label: 'Unit', required: false },
|
||||
{ key: 'description', label: 'Description', required: false },
|
||||
{ key: 'location', label: 'Storage Location', required: false },
|
||||
{ key: 'purchase_price', label: 'Purchase Price', required: false },
|
||||
{ key: 'estimated_value', label: 'Estimated Value', required: false }
|
||||
]
|
||||
}
|
||||
},
|
||||
computed: {
|
||||
canProceed() {
|
||||
return this.uploadedFile && this.fileAnalysis && this.columnMapping.name;
|
||||
}
|
||||
},
|
||||
mounted() {
|
||||
// Load existing data if resuming
|
||||
if (this.payload.uploaded_file) {
|
||||
this.uploadedFile = this.payload.uploaded_file;
|
||||
this.uploadTime = this.payload.upload_time;
|
||||
this.fileAnalysis = this.payload.file_analysis;
|
||||
this.detectedColumns = this.payload.detected_columns || [];
|
||||
this.previewData = this.payload.preview_data || [];
|
||||
this.columnMapping = this.payload.column_mapping || {};
|
||||
}
|
||||
},
|
||||
methods: {
|
||||
handleFileDrop(event) {
|
||||
this.isDragOver = false;
|
||||
const files = event.dataTransfer.files;
|
||||
if (files.length > 0) {
|
||||
this.processFile(files[0]);
|
||||
}
|
||||
},
|
||||
|
||||
handleFileSelect(event) {
|
||||
const files = event.target.files;
|
||||
if (files.length > 0) {
|
||||
this.processFile(files[0]);
|
||||
}
|
||||
},
|
||||
|
||||
async processFile(file) {
|
||||
if (!this.isValidFileType(file)) {
|
||||
alert('Please upload a CSV or Excel file (.csv, .xlsx, .xls)');
|
||||
return;
|
||||
}
|
||||
|
||||
this.uploadedFile = file;
|
||||
this.uploadTime = new Date().toISOString();
|
||||
this.processing = true;
|
||||
this.processingStatus = 'Reading file...';
|
||||
|
||||
try {
|
||||
// Simulate file processing
|
||||
await this.analyzeFile(file);
|
||||
this.processingStatus = 'Analyzing data structure...';
|
||||
await new Promise(resolve => setTimeout(resolve, 1000));
|
||||
|
||||
this.processingStatus = 'Generating preview...';
|
||||
await new Promise(resolve => setTimeout(resolve, 500));
|
||||
|
||||
this.updatePayload();
|
||||
} catch (error) {
|
||||
console.error('Error processing file:', error);
|
||||
alert('Error processing file. Please try again.');
|
||||
this.removeFile();
|
||||
} finally {
|
||||
this.processing = false;
|
||||
this.processingStatus = '';
|
||||
}
|
||||
},
|
||||
|
||||
async analyzeFile(file) {
|
||||
// This is a simplified version - in reality, you'd use a library like Papa Parse for CSV
|
||||
// or SheetJS for Excel files
|
||||
|
||||
if (file.name.endsWith('.csv')) {
|
||||
const text = await file.text();
|
||||
const lines = text.split('\n').filter(line => line.trim());
|
||||
|
||||
if (lines.length > 0) {
|
||||
// Parse CSV header
|
||||
const headers = lines[0].split(',').map(h => h.trim().replace(/"/g, ''));
|
||||
this.detectedColumns = headers;
|
||||
|
||||
// Parse preview data
|
||||
this.previewData = lines.slice(1, 6).map(line => {
|
||||
const values = line.split(',').map(v => v.trim().replace(/"/g, ''));
|
||||
const row = {};
|
||||
headers.forEach((header, index) => {
|
||||
row[header] = values[index] || '';
|
||||
});
|
||||
return row;
|
||||
});
|
||||
|
||||
this.fileAnalysis = {
|
||||
totalRows: lines.length - 1, // Exclude header
|
||||
totalColumns: headers.length,
|
||||
validRows: lines.length - 1, // Simplified - assume all valid for demo
|
||||
errorRows: 0
|
||||
};
|
||||
}
|
||||
} else {
|
||||
// For Excel files, you'd use a library like SheetJS
|
||||
// This is a mock implementation
|
||||
this.detectedColumns = ['Name', 'Category', 'Quantity', 'Unit', 'Description'];
|
||||
this.previewData = [
|
||||
{ Name: 'Sample Item 1', Category: 'Tools', Quantity: '1', Unit: 'piece', Description: 'Sample description' },
|
||||
{ Name: 'Sample Item 2', Category: 'Hardware', Quantity: '5', Unit: 'box', Description: 'Another sample' }
|
||||
];
|
||||
this.fileAnalysis = {
|
||||
totalRows: 100,
|
||||
totalColumns: 5,
|
||||
validRows: 98,
|
||||
errorRows: 2
|
||||
};
|
||||
}
|
||||
|
||||
// Auto-map columns based on common names
|
||||
this.autoMapColumns();
|
||||
},
|
||||
|
||||
autoMapColumns() {
|
||||
const mapping = {};
|
||||
|
||||
this.detectedColumns.forEach(column => {
|
||||
const lowerColumn = column.toLowerCase();
|
||||
|
||||
if (lowerColumn.includes('name') || lowerColumn.includes('item')) {
|
||||
mapping.name = column;
|
||||
} else if (lowerColumn.includes('category') || lowerColumn.includes('type')) {
|
||||
mapping.category = column;
|
||||
} else if (lowerColumn.includes('quantity') || lowerColumn.includes('qty')) {
|
||||
mapping.quantity = column;
|
||||
} else if (lowerColumn.includes('unit')) {
|
||||
mapping.unit = column;
|
||||
} else if (lowerColumn.includes('description') || lowerColumn.includes('desc')) {
|
||||
mapping.description = column;
|
||||
} else if (lowerColumn.includes('location') || lowerColumn.includes('storage')) {
|
||||
mapping.location = column;
|
||||
} else if (lowerColumn.includes('price') && lowerColumn.includes('purchase')) {
|
||||
mapping.purchase_price = column;
|
||||
} else if (lowerColumn.includes('value') || lowerColumn.includes('price')) {
|
||||
mapping.estimated_value = column;
|
||||
}
|
||||
});
|
||||
|
||||
this.columnMapping = mapping;
|
||||
},
|
||||
|
||||
isValidFileType(file) {
|
||||
const validTypes = ['.csv', '.xlsx', '.xls'];
|
||||
return validTypes.some(type => file.name.toLowerCase().endsWith(type));
|
||||
},
|
||||
|
||||
getFileType(filename) {
|
||||
if (filename.endsWith('.csv')) return 'CSV';
|
||||
if (filename.endsWith('.xlsx') || filename.endsWith('.xls')) return 'Excel';
|
||||
return 'Unknown';
|
||||
},
|
||||
|
||||
formatFileSize(bytes) {
|
||||
if (bytes === 0) return '0 Bytes';
|
||||
const k = 1024;
|
||||
const sizes = ['Bytes', 'KB', 'MB', 'GB'];
|
||||
const i = Math.floor(Math.log(bytes) / Math.log(k));
|
||||
return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i];
|
||||
},
|
||||
|
||||
formatDateTime(dateString) {
|
||||
return new Date(dateString).toLocaleString();
|
||||
},
|
||||
|
||||
removeFile() {
|
||||
this.uploadedFile = null;
|
||||
this.uploadTime = null;
|
||||
this.fileAnalysis = null;
|
||||
this.detectedColumns = [];
|
||||
this.previewData = [];
|
||||
this.columnMapping = {};
|
||||
this.updatePayload();
|
||||
},
|
||||
|
||||
downloadTemplate() {
|
||||
// Create a sample CSV template
|
||||
const headers = ['Name', 'Category', 'Quantity', 'Unit', 'Description', 'Location', 'Purchase Price', 'Estimated Value'];
|
||||
const sampleData = [
|
||||
['Hammer', 'Tools', '1', 'piece', 'Claw hammer for general use', 'Toolbox A', '25.99', '30.00'],
|
||||
['Screws', 'Hardware', '100', 'pack', 'Wood screws 2 inch', 'Storage Bin 3', '12.50', '15.00']
|
||||
];
|
||||
|
||||
const csvContent = [headers, ...sampleData]
|
||||
.map(row => row.map(field => `"${field}"`).join(','))
|
||||
.join('\n');
|
||||
|
||||
const blob = new Blob([csvContent], { type: 'text/csv' });
|
||||
const url = URL.createObjectURL(blob);
|
||||
const a = document.createElement('a');
|
||||
a.href = url;
|
||||
a.download = 'inventory_import_template.csv';
|
||||
a.click();
|
||||
URL.revokeObjectURL(url);
|
||||
},
|
||||
|
||||
updatePayload() {
|
||||
this.$emit('update', {
|
||||
uploaded_file: this.uploadedFile,
|
||||
upload_time: this.uploadTime,
|
||||
file_analysis: this.fileAnalysis,
|
||||
detected_columns: this.detectedColumns,
|
||||
preview_data: this.previewData,
|
||||
column_mapping: this.columnMapping
|
||||
});
|
||||
},
|
||||
|
||||
proceedToNext() {
|
||||
if (!this.canProceed) {
|
||||
alert('Please upload a file and map the required Name column before proceeding.');
|
||||
return;
|
||||
}
|
||||
|
||||
this.updatePayload();
|
||||
this.$emit('next');
|
||||
}
|
||||
}
|
||||
}
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.upload-dropzone {
|
||||
border: 2px dashed #dee2e6;
|
||||
border-radius: 8px;
|
||||
transition: all 0.3s ease;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.upload-dropzone:hover,
|
||||
.upload-dropzone.dragover {
|
||||
border-color: #007bff;
|
||||
background-color: #f8f9ff;
|
||||
}
|
||||
|
||||
.file-info {
|
||||
padding: 1rem;
|
||||
background: #f8f9fa;
|
||||
border-radius: 8px;
|
||||
}
|
||||
|
||||
.file-analysis {
|
||||
background: white;
|
||||
padding: 1rem;
|
||||
border-radius: 8px;
|
||||
margin-top: 1rem;
|
||||
}
|
||||
</style>
|
||||
Loading…
Add table
Add a link
Reference in a new issue