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);

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