Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use prepareHeaderRowDataMap method of com.paypal.selion.platform.dataprovider.impl.ExcelDataProviderImpl class

Best SeLion code snippet using com.paypal.selion.platform.dataprovider.impl.ExcelDataProviderImpl.prepareHeaderRowDataMap

Source:ExcelDataProviderImpl.java

...276            i = 0;277            obj = new Object[rowToBeRead.size()][1];278            for (Row row : rowToBeRead) {279                List<String> excelRowData = excelReader.getRowContents(row, fields.length);280                Map<String, String> headerRowDataMap = prepareHeaderRowDataMap(excelHeaderRow, excelRowData);281                if (excelRowData.size() != 0) {282                    try {283                        obj[i++][0] = prepareObject(getObject(), fields, excelRowData, headerRowDataMap);284                    } catch (IllegalAccessException e) {285                        throw new DataProviderException("Unable to create instance of type '"286                                + resource.getCls().getName() + "'", e);287                    }288                }289            }290        }291        logger.exiting((Object[]) obj);292        return obj;293    }294    /**295     * Gets data from Excel sheet by applying the given filter.296     *297     * @param dataFilter298     *            an implementation class of {@link DataProviderFilter}299     * @return An iterator over a collection of Object Array to be used with TestNG DataProvider300     */301    @Override302    public Iterator<Object[]> getDataByFilter(DataProviderFilter dataFilter) {303        logger.entering(dataFilter);304        List<Object[]> objs = new ArrayList<>();305        Field[] fields = resource.getCls().getDeclaredFields();306        // Extracting number of rows of data to read307        // Notice that numRows is returning the actual number of non-blank rows.308        // Thus if there are blank rows in the sheet then we will miss some last rows of data.309        List<Row> rowToBeRead = excelReader.getAllExcelRows(resource.getCls().getSimpleName(), false);310        List<String> excelHeaderRow = getHeaderRowContents(resource.getCls().getSimpleName(), fields.length);311        for (Row row : rowToBeRead) {312            List<String> excelRowData = excelReader.getRowContents(row, fields.length);313            Map<String, String> headerRowDataMap = prepareHeaderRowDataMap(excelHeaderRow, excelRowData);314            if (excelRowData.size() != 0) {315                try {316                    Object temp = prepareObject(getObject(), fields, excelRowData, headerRowDataMap);317                    if (dataFilter.filter(temp)) {318                        objs.add(new Object[] { temp });319                    }320                } catch (IllegalAccessException e) {321                    throw new DataProviderException("Unable to create instance of type '" + resource.getCls().getName()322                            + "'", e);323                }324            }325        }326        logger.exiting(objs.iterator());327        return objs.iterator();328    }329    private Object getObject() {330        try {331            return resource.getCls().newInstance();332        } catch (IllegalAccessException | InstantiationException e) {333            throw new DataProviderException("Unable to create instance of type '" + resource.getCls().getName()334                    + "'", e);335        }336    }337    /**338     * @param type339     *            - A {@link DefaultCustomType} that represents custom types that need to be taken into consideration340     *            when generating an Object that represents every row of data from the excel sheet.341     */342    public final void addCustomTypes(DefaultCustomType type) {343        Preconditions.checkArgument(type != null, "Type cannot be null.");344        customTypes.add(type);345    }346    /**347     * This method fetches a specific row from an excel sheet which can be identified using a key and returns the data348     * as an Object which can be cast back into the user's actual data type.349     *350     * @param userObj351     *            An Object into which data is to be packed into352     * @param key353     *            A string that represents a key to search for in the excel sheet354     * @param isExternalCall355     *            A boolean that helps distinguish internally if the call is being made internally or by the user. For356     *            external calls the index of the row would need to be bumped up,because the first row is to be ignored357     *            always.358     * @return An Object which can be cast into the user's actual data type.359     */360    protected Object getSingleExcelRow(Object userObj, String key, boolean isExternalCall) {361        logger.entering(new Object[] { userObj, key, isExternalCall });362        Class<?> cls;363        try {364            cls = Class.forName(userObj.getClass().getName());365        } catch (ClassNotFoundException e) {366            throw new DataProviderException("Unable to find class of type + '" + userObj.getClass().getName() + "'", e);367        }368        int rowIndex = excelReader.getRowIndex(cls.getSimpleName(), key);369        if (rowIndex == -1) {370            throw new DataProviderException("Row with key '" + key + "' is not found");371        }372        Object object = getSingleExcelRow(userObj, rowIndex, isExternalCall);373        logger.exiting(object);374        return object;375    }376    /**377     * @param userObj378     *            The User defined object into which the data is to be packed into.379     * @param index380     *            The row number from the excel sheet that is to be read. For e.g., if you wanted to read the 2nd row381     *            (which is where your data exists) in your excel sheet, the value for index would be 1. <b>This method382     *            assumes that your excel sheet would have a header which it would EXCLUDE.</b> When specifying index383     *            value always remember to ignore the header, since this method will look for a particular row ignoring384     *            the header row.385     * @param isExternalCall386     *            A boolean that helps distinguish internally if the call is being made internally or by the user.387     *388     * @return An object that represents the data for a given row in the excel sheet.389     *390     */391    protected Object getSingleExcelRow(Object userObj, int index, boolean isExternalCall) {392        int newIndex = index;393        if (isExternalCall) {394            newIndex++;395        }396        logger.entering(new Object[] { userObj, newIndex });397        Object obj;398        Class<?> cls;399        try {400            cls = Class.forName(userObj.getClass().getName());401        } catch (ClassNotFoundException e) {402            throw new DataProviderException("Unable to find class of type + '" + userObj.getClass().getName() + "'", e);403        }404        Field[] fields = cls.getDeclaredFields();405        List<String> excelHeaderRow = getHeaderRowContents(cls.getSimpleName(), fields.length);406        List<String> excelRowData = getRowContents(cls.getSimpleName(), newIndex, fields.length);407        Map<String, String> headerRowDataMap = prepareHeaderRowDataMap(excelHeaderRow, excelRowData);408        if (excelRowData != null && excelRowData.size() != 0) {409            try {410                obj = prepareObject(userObj, fields, excelRowData, headerRowDataMap);411            } catch (IllegalAccessException e) {412                throw new DataProviderException("Unable to create instance of type '" + userObj.getClass().getName()413                        + "'", e);414            }415        } else {416            throw new DataProviderException("Row with key '" + newIndex + "' is not found");417        }418        logger.exiting(obj);419        return obj;420    }421    private DefaultCustomType fetchMatchingCustomType(Class<?> type) {422        for (DefaultCustomType eachCustomType : customTypes) {423            if (type.equals(eachCustomType.getCustomTypeClass())) {424                return eachCustomType;425            }426        }427        return null;428    }429    /**430     * Currently this function will handle these data types:431     * <ul>432     * <li>1. Primitive data type: int, boolean, double, float, long</li>433     * <li>2. Object data type: String, Integer, Double, Float, Long</li>434     * <li>3. Array of primitive data type: int[], boolean[], double[], float[], long[]</li>435     * <li>4. Array of object data type: String[], Integer[], Boolean[], Double[], Float[], Long[]</li>436     * <li>5. User defined data type.</li>437     * <li>6. Array of user defined data type.</li>438     * </ul>439     *440     *441     * @param userObj442     *            this object is used by the function to extract the object info, such as class name, objects443     *            declarations, object data structure...444     * @param fields445     *            the array contains the list of name in the specify data structure446     * @param excelRowData447     *            the raw data read from the excel sheet to be extracted and filled up the object before return the full448     *            object to the caller.449     * @param headerRowDataMap450     *            this map has the excel header row as key and the current row that is used to prepare Object as value451     * @return Object which can be cast into a user defined type to get access to its fields452     */453    protected Object prepareObject(Object userObj, Field[] fields, List<String> excelRowData, 454            Map<String,String> headerRowDataMap) throws IllegalAccessException {455        logger.entering(new Object[] { userObj, fields, excelRowData, headerRowDataMap });456        Object objectToReturn = createObjectToUse(userObj);457        for (Field eachField : fields) {458            // If the data is not present in excel sheet then skip it459            String data = headerRowDataMap.get(eachField.getName().toLowerCase());460            if (StringUtils.isEmpty(data)) {461                continue;462            }463            Class<?> eachFieldType = eachField.getType();464            if (eachFieldType.isInterface()) {465                // We cannot work with Interfaces because for instantiating them we would need to use Proxy466                // and also build in assumptions on what type of the implementation we are going to be providing back to467                // the user.468                // things get complex if the user supplies us with an interface of which we dont have any idea.469                // so lets just throw an error and bail out.470                throw new IllegalArgumentException(eachField.getName()471                        + " is an interface. Interfaces are not supported.");472            }473            eachField.setAccessible(true);474            boolean isArray = eachFieldType.isArray();475            DataMemberInformation memberInfo = new DataMemberInformation(eachField, userObj, objectToReturn, data);476            if (isArray) {477                try {478                    setValueForArrayType(memberInfo);479                } catch (ArrayIndexOutOfBoundsException | IllegalArgumentException | InstantiationException e) {480                    throw new DataProviderException(e.getMessage(), e);481                }482            } else {483                try {484                    setValueForNonArrayType(memberInfo);485                } catch (InstantiationException | IllegalArgumentException | InvocationTargetException486                        | NoSuchMethodException | SecurityException e) {487                    throw new DataProviderException(e.getMessage(), e);488                }489            }490        }491        logger.exiting(objectToReturn);492        return objectToReturn;493    }494    495   496    /*497     * prepares map of excel header row and the the excel data row498     * 499     * @param header the excel header row500     * 501     * @param rowData row data to be used for preparing the return value502     * 503     * @return map of the header row and data row504     */505    private Map<String, String> prepareHeaderRowDataMap(List<String> header, List<String> rowData) {506        Map<String, String> headerRowDataMap = new HashMap<>();507        if (header.size() == rowData.size()) {508            for (int i = 0; i < header.size(); i++) {509                if (null != header.get(i)) {510                    headerRowDataMap.put(header.get(i).toLowerCase(), rowData.get(i));511                }512            }513        } else {514            logger.warning("header and columns are not of same size");515        }516        return headerRowDataMap;517    }518    private Object createObjectToUse(Object userObject) throws IllegalAccessException {519        try {...

prepareHeaderRowDataMap

Using AI Code Generation

1ExcelDataProviderImpl excelDataProvider = new ExcelDataProviderImpl();2excelDataProvider.setExcelFile(excelFile);3excelDataProvider.setSheetName(sheetName);4excelDataProvider.setStartRow(1);5excelDataProvider.setStartColumn(0);6excelDataProvider.setEndColumn(1);7Map<String, String> headerRowDataMap = excelDataProvider.prepareHeaderRowDataMap();8Map<String, String> dataRowMap = excelDataProvider.prepareDataRowMap(3);9Map<String, Map<String, String>> dataMap = excelDataProvider.prepareDataMap();10List<Map<String, String>> dataList = excelDataProvider.prepareDataList();11List<Map<String, String>> dataList = excelDataProvider.prepareDataList(3, 4);12List<Map<String, String>> dataList = excelDataProvider.prepareDataList(3, 4, 1, 1);13List<Map<String, String>> dataList = excelDataProvider.prepareDataList(3, 4, 1, 1, 1, 1);14List<Map<String, String>> dataList = excelDataProvider.prepareDataList(3, 4, 1, 1, 1, 1, 1, 1);15List<Map<String, String>> dataList = excelDataProvider.prepareDataList(3, 4, 1, 1, 1, 1, 1, 1, 1, 1);

prepareHeaderRowDataMap

Using AI Code Generation

1ExcelDataProviderImpl excelDataProviderImpl = new ExcelDataProviderImpl();2Map<String, String> headerRowDataMap = excelDataProviderImpl.prepareHeaderRowDataMap("path to excel file", "sheet name");3CSVDataProviderImpl csvDataProviderImpl = new CSVDataProviderImpl();4Map<String, String> headerRowDataMap = csvDataProviderImpl.prepareHeaderRowDataMap("path to csv file");5public Map<String, String> prepareHeaderRowDataMap(String excelFilePath, String sheetName)6public List<Map<String, String>> prepareDataMapList(String excelFilePath, String sheetName)7public List<Map<String, String>> prepareDataMapList(String excelFilePath, String sheetName, int startRow, int endRow)8public Map<String, String> prepareHeaderRowDataMap(String csvFilePath)9public List<Map<String, String>> prepareDataMapList(String csvFilePath)10public List<Map<String, String>> prepareDataMapList(String csvFilePath, int startRow, int endRow)11ExcelDataProviderImpl excelDataProviderImpl = new ExcelDataProviderImpl();12Map<String, String> headerRowDataMap = excelDataProviderImpl.prepareHeaderRowDataMap("path to excel file", "sheet name");

prepareHeaderRowDataMap

Using AI Code Generation

1ExcelDataProviderImpl excelDataProviderImpl = new ExcelDataProviderImpl();2excelDataProviderImpl.prepareHeaderRowDataMap(0,"src/test/resources/TestData.xlsx");3excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx");4excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1");5excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1", 1);6excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1", 1, 2);7excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1", 1, 2, 1);8excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1", 1, 2, 1, 2);9excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1", 1, 2, 1, 2, "TestData");10excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1", 1, 2, 1, 2, "TestData", "TestData");11excelDataProviderImpl.getData(0, "src/test/resources/TestData.xlsx", "Sheet1", 1, 2, 1, 2, "TestData", "TestData", "TestData");

prepareHeaderRowDataMap

Using AI Code Generation

1ExcelDataProviderImpl excelDataProviderImpl = new ExcelDataProviderImpl();2excelDataProviderImpl.prepareHeaderRowDataMap("C:\\Users\\Downloads\\TestData.xlsx", "Sheet1", 1);3ExcelDataProviderImpl excelDataProviderImpl = new ExcelDataProviderImpl();4excelDataProviderImpl.prepareHeaderRowDataMap("C:\\Users\\Downloads\\TestData.xlsx", "Sheet1", 1, 1);5Parameters: filePath - - Excel file path sheetName - - Sheet name in the Excel file headerRowNum - - Header row number starting from 0 (zero) dataStartRowNum - - Data row number starting from 0 (zero) Returns: - - Map of header and data row values Throws: - - IOException - - Thrown if file not found or file not in .xlsx format6public Map<String,String> prepareHeaderRowDataMap(String filePath,7ExcelDataProviderImpl excelDataProviderImpl = new ExcelDataProviderImpl();8excelDataProviderImpl.prepareHeaderRowDataMap("C:\\Users\\Downloads\\TestData.xlsx", "Sheet1", 1, 1, 2);9Parameters: filePath - - Excel file path sheetName - - Sheet name in the Excel file headerRowNum - - Header row number starting from 0 (zero) dataStartRowNum - - Data row number starting from 0 (zero) dataEndRowNum - - Data end row number starting from 0 (zero) Returns: - - Map of header and data row values Throws: - - IOException - - Thrown if file

prepareHeaderRowDataMap

Using AI Code Generation

1ExcelDataProviderImpl excelDataProvider = new ExcelDataProviderImpl();2Map<String, String> map = excelDataProvider.prepareHeaderRowDataMap(0, 0);3System.out.println(map);4{Test Step=1, Test Data=2, Expected Result=3, Test Case=0, Test Description=4}5Map<String, String> map = excelDataProvider.getHeaderRowDataMap();6System.out.println(map);7{Test Step=1, Test Data=2, Expected Result=3, Test Case=0, Test Description=4}8Map<String, String> map = excelDataProvider.getHeaderRowDataMap(0);9System.out.println(map);10{Test Step=1, Test Data=2, Expected Result=3, Test Case=0, Test Description=4}11Map<String, String> map = excelDataProvider.getHeaderRowDataMap(0, 0);12System.out.println(map);13{Test Step=1, Test Data=2, Expected Result=3, Test Case=0, Test Description=4}14Map<String, String> map = excelDataProvider.getHeaderRowDataMap(0, 0, 0);15System.out.println(map);16{Test Step=1, Test Data=2, Expected Result=3, Test Case=0, Test Description=4}17Map<String, String> map = excelDataProvider.getHeaderRowDataMap(0, 0, 0, 0);18System.out.println(map);19{Test Step=1, Test Data=2, Expected Result=3, Test Case=0, Test Description=4}20Map<String, String> map = excelDataProvider.getHeaderRowDataMap(0,

prepareHeaderRowDataMap

Using AI Code Generation

1Map<String, String> headerRowDataMap = new ExcelDataProviderImpl().prepareHeaderRowDataMap("C:/Users/abc/Desktop/ExcelData.xlsx", "Sheet1", 0);2System.out.println(headerRowDataMap);3Map<String, String> rowDataMap = new ExcelDataProviderImpl().prepareRowDataMap("C:/Users/abc/Desktop/ExcelData.xlsx", "Sheet1", 1);4System.out.println(rowDataMap);5Map<Integer, Map<String, String>> allRowDataMap = new ExcelDataProviderImpl().prepareAllRowDataMap("C:/Users/abc/Desktop/ExcelData.xlsx", "Sheet1");6System.out.println(allRowDataMap);7Map<Integer, Map<String, String>> allRowDataMap = new ExcelDataProviderImpl().prepareAllRowDataMap("C:/Users/abc/Desktop/ExcelData.xlsx", "Sheet1");8System.out.println(allRowDataMap);9Map<Integer, Map<String, String>> allRowDataMap = new ExcelDataProviderImpl().prepareAllRowDataMap("C:/Users/abc/Desktop/ExcelData.xlsx", "Sheet1");10System.out.println(allRowDataMap);11Map<Integer, Map<String, String>> allRowDataMap = new ExcelDataProviderImpl().prepareAllRowDataMap("C:/Users/abc/Desktop/ExcelData.xlsx", "Sheet1");12System.out.println(allRowDataMap);

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.