ui5-excel-import

v1.1.0

Published

2 months ago

Reusable Excel Import Library for SAP UI5 - Production-ready with error handling, validation, and comprehensive testing

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wusxo24

ui5 sap excel import library reusable

UI5 Excel Import Library

Production-ready, reusable Excel import library for SAP UI5 applications.

Status: ✅ Fully tested and validated | 🛡️ Comprehensive error handling | 📊 80%+ code coverage

Features

✅ Robust Excel Parsing - Full validation and error handling
✅ Column Mapping - Flexible alias-based column detection
✅ Batch Processing - Efficient handling of large datasets
✅ Error Handling - Comprehensive error messages and validation
✅ Type Safe - Full JSDoc documentation
✅ Well Tested - 80%+ code coverage with Jest
✅ Zero External Dependencies - XLSX library bundled

Quick Start

Installation

Option 1: Git Submodule (Current)

git submodule add https://github.com/wusxo24/ui5-excel-import webapp/lib/excelImport

Option 2: npm (Coming Soon)

npm install ui5-excel-import

Basic Usage

sap.ui.define([
  "your/lib/excelImport/ExcelImportFacade"
], function (ExcelImport) {
  "use strict";

  // Parse Excel file
  const result = await ExcelImport.parseOnly({
    file: excelFile,
    columns: {
      companyCode: ["Company Code", "Bukrs"],
      account: ["Account", "HKONT"],
      amount: ["Amount", "WRBTR"],
      currency: ["Currency", "WAERS"]
    }
  });

  if (result.errors.length > 0) {
    console.error("Parse errors:", result.errors);
  } else {
    console.log(`Processed ${result.rowsProcessed} rows`);
    console.log(result.data);
  }
});

Advanced: Parse and Post

// Complete workflow: parse, transform, and post data
const responses = await ExcelImport.parseAndPost({
  file: excelFile,
  columns: ColumnConfig,
  mapper: PayloadMapper,
  uploadUrl: "/api/import",
  fileName: "employees.xlsx",
  testMode: false,
  batchSize: 50
});

responses.forEach((response, index) => {
  console.log(`Batch ${index + 1}:`, response);
});

API Reference

ExcelImportFacade

`parseOnly(options)`

Parses Excel file and maps columns without posting data.

Parameters:

options.file (File): Excel file to parse [required]
options.columns (Object): Column mapping configuration [required]

Returns:

{
  data: Array<Object>,        // Parsed and mapped rows
  errors: Array<String>,      // Error messages
  rowsProcessed: Number       // Total rows processed
}

Example:

const result = await ExcelImport.parseOnly({
  file: fileInput.files[0],
  columns: {
    companyCode: ["Company Code", "Bukrs"],
    account: ["Account", "HKONT"]
  }
});

`parseAndPost(options)`

Parses Excel, transforms data, and posts in batches.

Parameters:

options.file (File): Excel file [required]
options.columns (Object): Column mapping [required]
options.mapper (Object): Object with map() function [required]
options.uploadUrl (String): API endpoint [required]
options.fileName (String): File name for request [required]
options.testMode (Boolean): Test mode flag (optional, default: false)
options.batchSize (Number): Items per batch (optional, default: 50)

Returns: Promise<Array<Object>> - API responses for each batch

Example:

const responses = await ExcelImport.parseAndPost({
  file: excelFile,
  columns: config,
  mapper: {
    map: (data) => data.map(row => ({
      bukrs: row.companyCode,
      hkont: row.account,
      wrbtr: row.amount
    }))
  },
  uploadUrl: "/api/import",
  fileName: "data.xlsx",
  batchSize: 100
});

Configuration

Column Mapping (ColumnConfig)

Maps Excel columns to internal field names using aliases.

// template/ColumnConfig.js
sap.ui.define([], function () {
  return {
    // Field name: [possible column headers]
    companyCode: ["Company Code", "Bukrs", "Company"],
    account: ["Account", "HKONT", "Acct"],
    amount: ["Amount", "WRBTR", "Sum"],
    currency: ["Currency", "WAERS", "Curr"]
  };
});

Data Mapper (PayloadMapper)

Transforms mapped rows to API payload format.

// template/PayloadMapper.js
sap.ui.define([], function () {
  return {
    map: function(data) {
      return data.map(row => ({
        bukrs: row.companyCode,
        hkont: row.account,
        wrbtr: row.amount,
        waers: row.currency
      }));
    }
  };
});

Error Handling

The library provides comprehensive error messages:

try {
  const result = await ExcelImport.parseOnly({
    file: null,
    columns: {}
  });
} catch (error) {
  // Error: "File is required for parseOnly operation"
  // Error: "Column configuration cannot be empty"
  console.error(error.message);
}

Common errors:

File is required - No file provided
Column configuration is required - Column config missing
File must be an Excel file - Invalid file format
Excel sheet is empty - No data in sheet
Upload URL must be a non-empty string - Invalid URL
Request timeout after 30000ms - API timeout

Architecture

Module Breakdown

| Module | Purpose | |--------|---------| | ExcelImportFacade | Main public API (parseOnly, parseAndPost, postOnly) | | ExcelReader | Reads and parses Excel files with validation | | ColumnDetector | Maps Excel columns based on configuration | | BatchProcessor | Splits data into batches for processing | | ApiClient | HTTP POST client with timeout handling |

Module Dependencies

ExcelImportFacade
├── ExcelReader (reads Excel files)
├── ColumnDetector (detects columns)
├── BatchProcessor (creates batches)
└── ApiClient (posts data)

Backend Integration

Architecture Pattern

This library handles generic Excel import logic. Domain-specific integration (validation, transformation, API format) belongs in your application.

Library (Reusable)              Your Application (Specific)
─────────────────────────────   ─────────────────────────────
ExcelImportFacade               YourController.js
├── ExcelReader                 YourValidator.js (validate fields)
├── ColumnDetector              YourMapper.js (transform data)
├── BatchProcessor              YourAdapter.js (format for API)
└── ApiClient ────────────────→ Your Backend API

Integration Example: SAP Finance Document Posting

Below is a real-world example of integrating with an ABAP HTTP service that expects specific JSON structure.

Step 1: Company-Specific Validator

// your/helper/FinanceValidator.js
sap.ui.define([], function () {
  "use strict";

  const _validateDate = (dateStr) => {
    // Validate DD/MM/YYYY format and convert to YYYYMMDD
    const regex = /^(\d{2})\/(\d{2})\/(\d{4})$/;
    const match = dateStr.match(regex);
    if (!match) return null;
    return `${match[3]}${match[2]}${match[1]}`;
  };

  return {
    /**
     * Validate and transform a single row
     * @param {Object} row - Row from Excel
     * @param {Number} rowIndex - Row number for error reporting
     * @returns {Object} Validated/transformed row
     * @throws {Error} If validation fails
     */
    validateRow: function(row, rowIndex) {
      // Required field checks
      if (!row.documentdate) {
        throw new Error(`Row ${rowIndex}: Document Date is required`);
      }
      if (!row.account) {
        throw new Error(`Row ${rowIndex}: Account is required`);
      }

      // Format validation
      const documentdate = _validateDate(row.documentdate);
      if (!documentdate) {
        throw new Error(`Row ${rowIndex}: Invalid date format (use DD/MM/YYYY)`);
      }

      // Business logic: Currency handling
      if (row.currency === "VND") {
        // For VND: copy document currency to local currency
        if (!row.amountinlocalcurrency && row.amountindoumentcurrency) {
          row.amountinlocalcurrency = row.amountindoumentcurrency;
        }
      } else {
        // For foreign currency: auto-calculate local currency
        if (row.exchangerate && row.amountindoumentcurrency) {
          row.amountinlocalcurrency = Math.round(
            row.amountindoumentcurrency * row.exchangerate
          );
        }
      }

      return {
        ...row,
        documentdate: documentdate,
        postingdate: _validateDate(row.postingdate)
      };
    },

    /**
     * Validate entire dataset
     * @param {Array} rows - All parsed rows
     * @returns {Object} { data: validated rows, errors: error messages }
     */
    validate: function(rows) {
      const validatedData = [];
      const errors = [];

      rows.forEach((row, index) => {
        try {
          validatedData.push(this.validateRow(row, index + 3)); // Row numbering starts at 3
        } catch (error) {
          errors.push({
            type: "Error",
            message: error.message,
            group: `Row ${index + 3}`
          });
        }
      });

      return {
        data: validatedData,
        errors: errors,
        hasErrors: errors.length > 0
      };
    }
  };
});

Step 2: Backend Request Mapper

// your/helper/AbapPayloadMapper.js
sap.ui.define([], function () {
  "use strict";

  return {
    /**
     * Transform validated rows to ABAP service format
     * Maps camelCase (UI5) → field names expected by ABAP
     *
     * @param {Array} rows - Validated rows from FinanceValidator
     * @param {Object} metadata - File metadata { filename, isUpdate, testMode }
     * @returns {Object} Request payload for ABAP service
     */
    mapToAbapFormat: function(rows, metadata) {
      // Group rows by document ID
      const groupedByDocId = new Map();
      rows.forEach(row => {
        const docId = row.id_doc || row.idDoc;
        if (!groupedByDocId.has(docId)) {
          groupedByDocId.set(docId, []);
        }
        groupedByDocId.get(docId).push(row);
      });

      // Build documents array
      const documents = [];
      groupedByDocId.forEach((items, idDoc) => {
        const headerRow = items[0];

        documents.push({
          filename: metadata.filename,
          idDoc: idDoc,
          companycode: headerRow.companycode,
          documentdate: headerRow.documentdate,    // YYYYMMDD
          postingdate: headerRow.postingdate,      // YYYYMMDD
          documenttype: headerRow.documenttype,
          currency: headerRow.currency,
          headertext: headerRow.headertext,
          toItem: items.map((item, idx) => ({
            idline: `${idx + 1}`,
            postingkey: item.postingkey,
            account: item.account,
            amountinlocalcurrency: item.amountinlocalcurrency,
            transactioncurrency: item.currency,
            amountindoumentcurrency: item.amountindoumentcurrency,
            assignment: item.assignment || "",
            costcenter: item.costcenter || "",
            itemtext: item.itemtext || ""
          }))
        });
      });

      // Return request matching ABAP ts_post_request
      return {
        isupdate: metadata.isUpdate ? true : false,
        testmode: metadata.testMode ? true : false,
        filename: metadata.filename,
        doc: documents
      };
    }
  };
});

Step 3: Integration in Controller

// your/controller/FinanceImport.controller.js
sap.ui.define([
  "sap/ui/core/mvc/Controller",
  "sap/m/MessageBox",
  "your/lib/excelImport/ExcelImportFacade",
  "your/template/ColumnConfig",
  "your/helper/FinanceValidator",
  "your/helper/AbapPayloadMapper",
  "your/helper/ResultsDialog"
], function (Controller, MessageBox, ExcelImport, ColumnConfig, Validator, Mapper, ResultsDialog) {
  "use strict";

  const API_URL = "/sap/bc/http/sap/ZFI_API_UPLOAD_FIDOC";
  const HTTP_TIMEOUT = 60000; // 60 seconds

  return Controller.extend("your.app.controller.FinanceImport", {
    onImportPress: async function () {
      const file = document.getElementById("fileInput").files[0];
      if (!file) return;

      this._showBusy("Processing Excel...");

      try {
        // Step 1: Parse Excel using library (generic)
        const parseResult = await ExcelImport.parseOnly({
          file: file,
          columns: ColumnConfig
        });

        // Step 2: Validate using company rules (specific)
        const validationResult = Validator.validate(parseResult.data);
        if (validationResult.hasErrors) {
          ResultsDialog.show(this, validationResult.errors);
          return;
        }

        // Step 3: Test mode first
        this._closeBusy();
        const testResponse = await this._postToBackend(
          validationResult.data,
          file.name,
          true  // testMode
        );

        if (testResponse.hasErrors) {
          ResultsDialog.show(this, testResponse.messages);
          return;
        }

        // Step 4: If test passed, ask user to confirm
        MessageBox.confirm("Test mode successful. Post to production?", {
          onClose: async (action) => {
            if (action === MessageBox.Action.OK) {
              this._showBusy("Posting to production...");
              const prodResponse = await this._postToBackend(
                validationResult.data,
                file.name,
                false  // production
              );
              ResultsDialog.show(this, prodResponse.messages);
            }
          }
        });

      } catch (error) {
        MessageBox.error(`Import failed: ${error.message}`);
      } finally {
        this._closeBusy();
      }
    },

    _postToBackend: async function(rows, filename, testMode) {
      this._showBusy(testMode ? "Running test mode..." : "Posting to backend...");

      try {
        // Transform to ABAP format
        const payload = Mapper.mapToAbapFormat(rows, {
          filename: filename,
          isUpdate: false,
          testMode: testMode
        });

        // Post using library's ApiClient
        const response = await $.ajax({
          url: API_URL,
          type: "POST",
          contentType: "application/json",
          data: JSON.stringify(payload),
          timeout: HTTP_TIMEOUT
        });

        const parsedResponse = JSON.parse(response);
        return {
          messages: parsedResponse.results || [],
          hasErrors: parsedResponse.results?.some(r => r.type === "Error") || false
        };
      } catch (error) {
        throw new Error(`Backend error: ${error.statusText || error.message}`);
      }
    },

    _showBusy: function(msg) {
      this.byId("busyDialog").setText(msg).open();
    },

    _closeBusy: function() {
      this.byId("busyDialog").close();
    }
  });
});

Key Integration Principles

| Principle | Implementation | |-----------|---| | Library Agnostic | Library returns raw data + errors. Your app interprets them. | | Transformation External | Keep Validator, Mapper, Adapter in your application folder. | | Error Handling | Library provides error details. Your Validator adds context. | | Backend Format | Mapper translates library output to your API's expected format. | | Reusability | Library unchanged. Switch backends by replacing Mapper/Validator. |

Multi-Backend Example

Use different mappers for different backends:

// Switch backends without changing library or core logic
if (backend === "ABAP") {
  payload = AbapPayloadMapper.map(rows, metadata);
  apiUrl = "/sap/bc/http/sap/ZFI_API";
} else if (backend === "Node.js REST") {
  payload = RestPayloadMapper.map(rows, metadata);
  apiUrl = "https://api.company.com/import";
}

await ApiClient.post(apiUrl, payload, 30000);

Testing

Run Tests

npm test                    # Run all tests
npm run test:watch         # Watch mode
npm run test:coverage      # Coverage report

Test Coverage

Current Coverage: 119 comprehensive tests

| Module | Tests | Coverage | |--------|-------|----------| | ExcelReader | 18 | File validation, parsing, error handling | | ColumnDetector | 18 | Column mapping, edge cases, validation | | BatchProcessor | 14 | Batch creation, boundary conditions | | ApiClient | 19 | HTTP operations, error scenarios | | ExcelImportFacade | 18 | Complete workflows, validation | | Edge Cases & Integration | 55 | Type validation, error recovery, scenarios |

Test Files

test/ExcelReader.test.js - File validation and parsing
test/ColumnDetector.test.js - Column mapping
test/BatchProcessor.test.js - Batch creation
test/ApiClient.test.js - HTTP client
test/ExcelImportFacade.test.js - Main API
test/Coverage100.test.js - Edge cases, boundaries, integration scenarios

Test Categories

Happy Path Tests (50%):

Successful file parsing
Column mapping with aliases
Batch processing
API requests & responses
Complete workflows

Error Handling Tests (30%):

Invalid inputs (null, undefined, wrong types)
Missing required parameters
Malformed data
Network errors
Timeout scenarios
HTTP error responses

Edge Cases & Boundaries (20%):

Empty arrays/files
Single item processing
Large datasets (1000+ items)
Case-insensitive operations
Different MIME types
Exact vs. remainder batching

Development

Code Quality

npm run lint               # ESLint check
npm run lint:fix          # Auto-fix issues
npm run build             # Full build & test

Requirements

Node.js >= 14.0.0
npm >= 6.0.0

Project Structure

ui5-excel-import/
├── src/your/lib/excelImport/  # Source modules
├── lib/xlsx/                   # XLSX library
├── template/                   # Config templates
├── test/                       # Test files
├── BUILD_AND_NPM_GUIDE.md      # Publishing guide
└── LIBRARY_EVALUATION.md       # Architecture docs

Browser Support

Chrome 89+
Firefox 86+
Safari 14+
Edge 89+

Requirements:

FileReader API
Promise support
Fetch API
AbortController (for timeouts)

Deprecations

`postOnly()` - Deprecated

Use parseAndPost() instead for complete workflow:

// ❌ OLD WAY
await ExcelImport.postOnly({
  data: parsedData,
  mapper: PayloadMapper,
  uploadUrl: "/api/import",
  fileName: "data.xlsx",
  testMode: false
});

// ✅ NEW WAY
await ExcelImport.parseAndPost({
  file: excelFile,
  columns: ColumnConfig,
  mapper: PayloadMapper,
  uploadUrl: "/api/import",
  fileName: "data.xlsx",
  testMode: false
});

Documentation

BUILD_AND_NPM_GUIDE.md - Build, test, and publish guide
LIBRARY_EVALUATION.md - Architecture and design patterns
JSDoc Comments - Inline documentation in source code

Examples

Complete Import Workflow

sap.ui.define([
  "sap/ui/core/mvc/Controller",
  "your/lib/excelImport/ExcelImportFacade",
  "your/template/ColumnConfig",
  "your/template/PayloadMapper"
], function (Controller, ExcelImport, ColumnConfig, PayloadMapper) {
  "use strict";

  return Controller.extend("your.app.controller.Import", {
    onImportPress: async function () {
      try {
        // Get file from input
        const file = document.getElementById("fileInput").files[0];

        // Upload to API
        const responses = await ExcelImport.parseAndPost({
          file: file,
          columns: ColumnConfig,
          mapper: PayloadMapper,
          uploadUrl: "/odata/import",
          fileName: file.name,
          testMode: false,
          batchSize: 50
        });

        // Handle responses
        const successCount = responses.filter(r => r.success).length;
        this.showMessage(`${successCount}/${responses.length} batches processed`);
      } catch (error) {
        this.showError(error.message);
      }
    }
  });
});

Troubleshooting

Excel File Not Recognized

Verify file has .xlsx extension
Check MIME type includes "spreadsheet"
Try exporting as .xlsx from Excel

Column Not Detected

Check aliases match Excel headers exactly (case-sensitive for aliases check)
Verify column configuration has array of aliases
Review warnings in console

Timeout Errors

Increase timeout parameter
Check API server performance
Verify network connectivity
Consider reducing batch size

Memory Issues with Large Files

Use smaller batch size (e.g., 25 instead of 50)
Process files sequentially
Monitor browser memory usage

Performance Tips

Batch Size - Test different sizes for your API:

// Smaller batches = more requests but less memory
batchSize: 25   // For large files
batchSize: 100  // For small files

Timeout Configuration:

// Adjustable per API performance
await Api.post(url, data, 60000);  // 60 second timeout

File Size - Recommended max 10,000 rows per file

Version History

v1.0.0 (Current)

✅ Comprehensive error handling
✅ Full JSDoc documentation
✅ 80%+ test coverage
✅ Production-ready
✨ New parseAndPost() method
⚠️ Deprecated postOnly() method

License

MIT - See LICENSE file

Support & Contributing

Issues: https://github.com/wusxo24/ui5-excel-import/issues

Contributing:

Fork the repository
Create feature branch
Run tests: npm run build
Submit pull request