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

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

Source:ExcelDataProviderImpl.java

...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....

prepareObject

Using AI Code Generation

1ExcelDataProviderImpl excelDataProvider = new ExcelDataProviderImpl();2excelDataProvider.prepareObject("testData.xlsx", "Sheet1", 1, 1);3YamlDataProviderImpl yamlDataProvider = new YamlDataProviderImpl();4yamlDataProvider.prepareObject("testData.yaml", "Sheet1", 1, 1);5JsonDataProviderImpl jsonDataProvider = new JsonDataProviderImpl();6jsonDataProvider.prepareObject("testData.json", "Sheet1", 1, 1);7XmlDataProviderImpl xmlDataProvider = new XmlDataProviderImpl();8xmlDataProvider.prepareObject("testData.xml", "Sheet1", 1, 1);9CsvDataProviderImpl csvDataProvider = new CsvDataProviderImpl();10csvDataProvider.prepareObject("testData.csv", "Sheet1", 1, 1);11PropertiesDataProviderImpl propertiesDataProvider = new PropertiesDataProviderImpl();12propertiesDataProvider.prepareObject("testData.properties", "Sheet1", 1, 1);13ExcelDataProviderImpl excelDataProvider = new ExcelDataProviderImpl();14Map<String, String> map = excelDataProvider.prepareObject("testData.xlsx", "Sheet1", 1, 1);15YamlDataProviderImpl yamlDataProvider = new YamlDataProviderImpl();16Map<String, String> map = yamlDataProvider.prepareObject("testData.yaml", "Sheet1", 1, 1);17JsonDataProviderImpl jsonDataProvider = new JsonDataProviderImpl();18Map<String, String> map = jsonDataProvider.prepareObject("testData.json", "Sheet1", 1, 1);

prepareObject

Using AI Code Generation

1ExcelDataProviderImpl excelDataProviderImpl = new ExcelDataProviderImpl();2excelDataProviderImpl.prepareObject("testData.xls", "Sheet1", 1, 1);3JSONDataProviderImpl jsonDataProviderImpl = new JSONDataProviderImpl();4jsonDataProviderImpl.prepareObject("testData.json", "Sheet1", 1, 1);5XMLDataProviderImpl xmlDataProviderImpl = new XMLDataProviderImpl();6xmlDataProviderImpl.prepareObject("testData.xml", "Sheet1", 1, 1);7String value = JSONDataProviderImpl.prepareObject("testData.json", "Sheet1", 1, 1);8String value = XMLDataProviderImpl.prepareObject("testData.xml", "Sheet1", 1, 1);9String value = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", 1, 1);

prepareObject

Using AI Code Generation

1ExcelDataProviderImpl dataProvider = new ExcelDataProviderImpl("src/test/resources/ExcelDataProviderTest.xlsx");2Map<String, String> data = dataProvider.prepareObject("Sheet1", 1, 1, 1, 1);3System.out.println("data = " + data);4JsonDataProviderImpl dataProvider = new JsonDataProviderImpl("src/test/resources/JsonDataProviderTest.json");5Map<String, String> data = dataProvider.prepareObject("Sheet1", 1, 1, 1, 1);6System.out.println("data = " + data);7XMLDataProviderImpl dataProvider = new XMLDataProviderImpl("src/test/resources/XMLDataProviderTest.xml");8Map<String, String> data = dataProvider.prepareObject("Sheet1", 1, 1, 1, 1);9System.out.println("data = " + data);10YamlDataProviderImpl dataProvider = new YamlDataProviderImpl("src/test/resources/YamlDataProviderTest.yaml");11Map<String, String> data = dataProvider.prepareObject("Sheet1", 1, 1, 1, 1);12System.out.println("data = " + data);13PropertiesDataProviderImpl dataProvider = new PropertiesDataProviderImpl("src/test/resources/PropertiesDataProviderTest.properties");14Map<String, String> data = dataProvider.prepareObject("Sheet1", 1, 1, 1, 1);15System.out.println("data = " + data);16CSVDataProviderImpl dataProvider = new CSVDataProviderImpl("src/test/resources/

prepareObject

Using AI Code Generation

1Map<String, String> dataMap = new ExcelDataProviderImpl().prepareObject("path/to/excelFile.xlsx", "SheetName");2List<Map<String, String>> dataMapList = new ExcelDataProviderImpl().prepareObjects("path/to/excelFile.xlsx", "SheetName");3Map<String, String> dataMap = new CSVDataProviderImpl().prepareObject("path/to/csvFile.csv");4List<Map<String, String>> dataMapList = new CSVDataProviderImpl().prepareObjects("path/to/csvFile.csv");5Map<String, String> dataMap = new JSONDataProviderImpl().prepareObject("path/to/jsonFile.json");6List<Map<String, String>> dataMapList = new JSONDataProviderImpl().prepareObjects("path/to/jsonFile.json");7Map<String, String> dataMap = new XMLDataProviderImpl().prepareObject("path/to/xmlFile.xml");8List<Map<String, String>> dataMapList = new XMLDataProviderImpl().prepareObjects("path/to/xmlFile.xml");9Map<String, String> dataMap = new YamlDataProviderImpl().prepareObject("path/to/yamlFile.yaml");

prepareObject

Using AI Code Generation

1public class ExcelDataProviderTest {2    public void testReadExcelData() {3        String[][] data = ExcelDataProviderImpl.prepareObject(ExcelDataProviderTest.class,4                "src/test/resources/ExcelData.xlsx", "Sheet1");5        for (int i = 0; i < data.length; i++) {6            for (int j = 0; j < data[i].length; j++) {7                System.out.println("Data[" + i + "][" + j + "] = " + data[i][j]);8            }9        }10    }11}12public class ExcelDataProviderTest {13    public void testReadExcelData() {14        List<Map<String, String>> data = ExcelDataProviderImpl.prepareObject(ExcelDataProviderTest.class,15                "src/test/resources/ExcelData.xlsx", "Sheet1");16        for (int i = 0; i < data.size(); i++) {17            System.out.println("Data[" + i + "] = " + data.get(i));18        }19    }20}21public class ExcelDataProviderTest {22    public void testReadExcelData() {23        List<Map<String, String>> data = ExcelDataProviderImpl.prepareObject(ExcelDataProviderTest.class,24                "src/test/resources/ExcelData.xlsx", "Sheet1", "RowNumber");25        for (int i = 0; i < data.size(); i++) {26            System.out.println("Data[" + i + "] = " + data.get(i));27        }28    }29}30public class ExcelDataProviderTest {

prepareObject

Using AI Code Generation

1Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test1");2Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test2");3Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test3");4Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test4");5Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test5");6Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test6");7Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test7");8Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test8");9Map<String, Object> data = ExcelDataProviderImpl.prepareObject("testData.xls", "Sheet1", "Test9

prepareObject

Using AI Code Generation

1ExcelDataProviderImpl dp = new ExcelDataProviderImpl("data/ExcelData.xlsx", "Sheet1");2dp.prepareObject("testdata", "test", "test1", "test2");3CSVDataProviderImpl dp = new CSVDataProviderImpl("data/CSVData.csv");4dp.prepareObject("testdata", "test", "test1", "test2");5YamlDataProviderImpl dp = new YamlDataProviderImpl("data/YamlData.yaml");6dp.prepareObject("testdata", "test", "test1", "test2");7XMLDataProviderImpl dp = new XMLDataProviderImpl("data/XMLData.xml");8dp.prepareObject("testdata", "test", "test1", "test2");9JSONDataProviderImpl dp = new JSONDataProviderImpl("data/JSONData.json");10dp.prepareObject("testdata", "test", "test1", "test2");11ExcelDataProviderImpl dp = new ExcelDataProviderImpl("data/ExcelData.xlsx", "Sheet1");12dp.prepareObject("testdata", "test", "test1", "test2");13CSVDataProviderImpl dp = new CSVDataProviderImpl("data/CSVData.csv");14dp.prepareObject("testdata", "test", "test1", "test2");15YamlDataProviderImpl dp = new YamlDataProviderImpl("data/YamlData.yaml");16dp.prepareObject("testdata", "test", "test1", "test2");17XMLDataProviderImpl dp = new XMLDataProviderImpl("data/XMLData.xml");18dp.prepareObject("testdata", "test", "test1", "test2");

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